Increasing learning outcomes of social sciences on natural resources materials using think pair check learning model and image media in student

This study aims to determine whether the use of theLearning Model Think Pair Check and Picture Media can improve social studies learning outcomes for the fourth grade students of MIN Salatiga. This research is a classroom action research consisting of two cycles with 4 stages, namely planning, implementation, observation, and reflection. The subjects of this study were students of Class IV MIN Salatiga, totaling 34 students. The research instruments were in the form of observation sheets, test questions and documentation. Data collection techniques used in the form of observation, interviews, documentation and tests. The data were analyzed statistically and the cycle was stopped when 85% of students had completed the KKM. The results showed that the use of the Think Pair Check learning model and image media could improve social studies learning outcomes for fourth grade students at MIN Salatiga. The increase in students' learning mastery from Pre-Cycle to Cycle I was 26.46% and Cycle I to Cycle II was 20.59%.

INTRODUCTION
Social science (IPS) is a lesson that is taught from basic education to university. But unfortunately, social studies learning is sometimes considered less attractive by students because it only instils knowledge of concepts that are mere memorization so that children are less interested in social studies learning. Often teachers in teaching social studies material only tell students to memorize the material, besides that learning that is only focused on the teacher makes social studies learning less challenging and social studies learning seems like monotonous (Ramadhani, 2018, pp. 45-48). Social studies in America often referred to as social science, this science began to enter Indonesia in 1975. Social science is a science that discusses social science problems and people's lives with their environment (Rudi, 2013, p. 20: Tanwifi, 2009. Social science is also a science that is a balance between other social science disciplines. Social science is a form of simplification of the social sciences that are integrated to be taught in schools, ranging from basic education to higher education. Social Sciences is a subject that combines basic concepts from various social science disciplines which are compiled using educational and psychological approaches as well as their feasibility and meaning for students and their lives. Therefore, social studies subjects are designed to be able to develop the potential of students in terms of knowledge, understanding and ability to analyze social and community conditions around the students' environment (Suharjo, 2006, p. 1). Social studies teaching patterns in basic education use integrated social science concepts that are packaged in certain themes, and are adjusted to the needs of students whose average age is between 6-12 years. At the age of 6-12 is a period of growth for children. At that age is a period of cognitive development of children. (Triyanto, 2010, p. 171) Therefore, the social studies teaching process in basic education uses an environmental approach that starts from self-introduction to students, then to more global matters such as family, community and wider social life (Supardi, 2011, pp. 10-13;Tabah Hati, 2018, pp. 10-13). This is in accordance with the objectives of social science education, namely to foster students to become good citizens, have knowledge, and social care that is useful for themselves and others. So social studies education has a very important role in developing the ability to interact with the community and the environment around students (Rudi, 2013, p. 18).
Pair check learning is group learning consisting of two people or pairs, one person acts as a coach and the other acts as a partner (Wahyu Sulistyorini, 2016, p. 2).The Think Pair Check learning model is a way to convey subject matter by forming groups in a bench where they both ask each other questions and answer each other the answers given, after that they check each other's correctness of the answers that have been conveyed from the theme. After that the teacher evaluates and reflects on the ongoing learning process (Istarani, 2014, p. 105;Shoimin, 2014). Learning Model Think Pair Check is a group learning model between two people in pairs, this model is part of a cooperative learning strategy that aims to train students' independence and ability to solve problems (Wahyu Sulistyorini, 2016, p. 4). Pair Check learning is one type of cooperative learning in pairs (seat groups) which aims to explore or practice the material being studied.
This model is a group learning model that requires students' independence and ability to solve the problems given. This model is also able to build the students' questioning skill. The implementation of learning using the Pair Check model will make students more independent in solving problems that exist around students. In learning that uses the think pair check model, students not only memorize the material taught by the teacher but also understand the concept of the material taught by the teacher. By applying the think pair check learning model, students can express ideas, exchange thoughts, experiences and can express ideas and train students' self-confidence when the student learning process becomes more active, so that the teacher only acts as a facilitator (Huda, 2014, p. 211).
The general form of image media is summarized in terms of graphic media. Graphic media is a visual-based media consisting of symbols, images, dots, lines to describe an idea or event. Image media is the most commonly used intermediary tool. Picture is a common language, which can be understood and can be enjoyed everywhere (Arief S. Sadiman, 2011, p. 28;Cecep Kusnandi, 2013, pp. 41-43). In this case, the author conducted a survey as well as conducted interviews with teachers. constraints, researchers found several obstacles including teachers when teaching monotonously so that students in the learning process tend to be bored and students will not pay attention to the teacher during the learning process and the existing facilities are not adequate, making students' learning outcomes low and making students interested in learning social studies subjects and the lack of the use of media in teaching and the absorption of different students make learning outcomes low because natural resource materials require media or concrete objects to understand the concepts of the material being taught. It is proven by the fact that there are still many students who get scores below the KKM that have been set, which is 70. Based on the social studies learning outcomes of students at From the description of the problems above, it is clear that the use of the learning model in the State Islamic Madrasah (MIN) Salatiga is less than optimal, because in learning, students tend to be monotonous. From that it was deemed necessary to have a model and varied learning media. So in writing this article, the author emphasizes the focus of the problem on one thing that the author will examine, namely whether the application of thelearning model think pair check and image media can improve the social studies learning outcomes of students in natural resource materials for class IV students at MIN Salatiga in the 2019/2020 academic year.

METHODS
This study uses classroom action research methods. namely a form of reflective research by taking certain actions in order to improve or improve the practice of learning in the classroom in a more professional manner (Mahmud, 2008, p. 19). The subjects of this research were students and teachers of class IV MIN Salatiga, totaling 34 students consisting of 21 males and 13 females. In the data collection technique, using four steps, namely: observation, tests, interviews, and documentation. the observation step is a data collection in which the researcher observes the activities of teachers and students during the learning process (sudjana, 2012, p. 35).
The author observed all the activities of the fourth-grade teacher at MIN Salatiga from the beginning of the lesson to the end of the greeting until the closing. In addition, the author also made observations on the fourthgrade students of MIN Salatiga which was carried out during learning. The things that are observed from these students are students' attitudes during the ongoing learning process. The test/evaluation step is a set of stimuli given to a person with the intention of getting answers that are used as a numerical score determination (sudjana, 2012, p. 36) . In this case, the author uses test questions in the form of questions consisting of 25 questions. 10 multiple choice questions, 10 short description questions and 5 long description questions. The interview step is a method of collecting data by asking questions orally to the subjects studied (Dedi, 2010, p. 77 The research instrument used in this study were observations and tests and interviews. The observation sheet consisted of 2, namely the teacher observation sheet which aims to observe the teacher's activities during the teaching and learning process and the student observation sheet to observe student activities during the teaching and learning process. To measure the success of learning activities, researchers compiled evaluation questions consisting of 10 multiple choice, 10 descriptions and 5 long descriptions. For the interview, the researcher prepared 10 questions to determine the social studies learning process at MIN Salatiga and to find out the obstacles that occurred during the learning process.

Description of the Results of the Cycle Research
In the implementation of the pre-cycle the teacher delivered material to students using the question-and-answer lecture method and discussion. which is included in the good category. Activities that get a score of 4 have 6 items, those that get a score of 3 have 9 items and those that get a score of 2 have 2 items.
From the results of the evaluation in the form of a written test conducted at the end of learning in cycle I and cycle II using the pair check method with media images on social studies subject matter about types, benefits of natural resources, benefits of preserving nature. sources, student learning outcomes are obtained in Table 3. the results of cycle 1 students who have completed KKM 70 are 23 students a or 67.64% of the number of class IV students in Semester II MI Negeri Salatiga and students who have not completed as many as 11 students or 32.35 % with an average score of 74.14 from the total class IV Semester II MI Negeri Salatiga students. In the first cycle, the highest score obtained by students was 98 and the lowest score was 55. The results of the second cycle can be seen that 30 students who completed the KKM 70 or 88.23% of the number of students in class IV Semester II MI. Salatiga State and students who have not completed as many as 4 students or 11.76% with an average score of 79.14 from the number of fourth grade students in Semester II MI Negeri Salatiga. In cycle II, the highest score obtained by students was 100 and the lowest score was 60.
The information above shows that in cycle 1, student learning outcomes have increased but have not met the target of 85% of students who complete the KKM. this is caused because some students do not understand the learning steps conveyed by the teacher. In cycle I the teacher in delivering the material his voice is not loud enough so that the teacher's explanation has not been conveyed properly to the students.
Moreover, there are still some students who do not pay attention to the explanation given. delivered by the teacher so that when students work on questions the students cannot and the results are not optimal, therefore the teacher takes the initiative in the second cycle. The teacher makes pictures and designs learning to be more interesting by displaying more attractive pictures so that it can attract students' attention and prepare themselves so that the material can be read. well conveyed. With this, the learning outcomes in cycle II. Student learning outcomes have increased significantly because in cycle II students have understood the steps of learning activities delivered by the teacher. In addition, the use of embossed images used by teachers in teaching can provide an overview of the material presented by the teacher. Therefore in the second cycle student learning outcomes experienced a very significant increase as much as 20.59%. The thing that distinguishes other research with research conducted by the author lies in the image media. The image used is an embossed image, with embossed images students can see the image clearly and almost similar to the original. Based on the analysis of data collection, it was concluded that the data on student learning outcomes in class IV.
The recapitulation of learning outcomes can be seen in table 1. Based on the analysis of data collection shows that there is an increase. The average value of pre-cycle (67.44) cycle I (74.14), cycle II (79.14). Based on Table 2 it can be seen that during the research student learning outcomes after the action. The improvement of student learning outcomes in the process of using the Think Pair Checks model with the image media is evidence of the successful use of the model and the media. mutually correct answers between friends. so that with these learning activities students do not feel bored and not monotonous and can increase student activity in the learning process. This is supported by (Huda, 2017, p. 211)  learning. This is also in line with the opinion of (Lestari, 2012, pp. 191-193)Lestari which states that the application of the Think Pair Check learning model can train collaboration between students and improve student understanding because in one group only consists of two people, it can increase participation in learning so as to provide opportunities for students. to gain more knowledge.
The think pair check learning model is very effective for improving social studies learning outcomes because the Think pair check learning model students can help each other by playing roles as tutors and students can work together and increase students' understanding of the social studies material being taught by the teacher(Adi Prakoso, 2015, p. 113) .
With this, the think pair check learning model can improve students' social science learning outcomes. Think pair check learning models can train students' ability to solve problems and train students to be independent and train students' abilities to assess other students (Huda, 2013, p. 211). (Kamal, 2018, p. 58) (Sulistyorini, 2018) focuses on increasing the ability to ask productive questions and the similarities are the same using the think pair check model. With this, the Think Pair Check learning model has many advantages and has been proven to help teachers improve the results of student learning activities.
When viewed from the results of student learning. Student learning outcomes have increased in each cycle. in cycle 1, student learning outcomes increased by 26.46% and in cycle II, student learning outcomes increased by 20.59% or the average percentage of student success had reached 85%. Therefore, this Classroom Action Research was stopped in Cycle II. Students who have not completed in cycle II will be given independent action in the form of exercises or re medial which has been monitored by the teacher so that it is hoped that all students can complete in learning.

CONCLUSION
Improving learning outcomes in the pre-cycle, cycle I, cycle II are as follows, with the number of fourth grade students at MIN Salatiga as many as 34 students with a KKM of school determination, which is 70. In precycle activities the number of students who have completed is 14 students (41.18%), while 20 students who have not completed (58.82%) With an average value of 67.44. In the first cycle there was an increase in the number of students who completed 23 students (67.64%), while students who did not complete were 11 students (32.36%) with an average score of 74.14. Then in the second cycle, there was a significant increase, namely the students who had reached the classical criteria were 30 students (88.23%), while the students who had not finished were 4 students (11.77%) with an average score of 79.14. The use of the thinkmodel pair checks can increase the target of achieving the KKM for Social Science Subjects in Natural Resources Materials for class IV students of MI Negeri Salatiga for the 2019/2020 academic year. This can be seen from the minimum achievement of 34 students whose scores reached the KKM as many as 30 students (88.23%) with an average score of 79.14. So this CAR is declared successful (88.23% 85%).


What affordances do open-ended real-life tasks offer for sharing student agency in collaborative problem-solving?

The important role of student agency in collaborative problem-solving has been acknowledged in previous mathematics education research. However, what remains unknown are the processes of agency in open-ended tasks that draw on real-life contexts and demand argumentation beyond “mathematical”. In this study, we analyse a video recording of two student groups (each consisting of four students) taking part in collaborative problem-solving. We draw on the framework for collaborative construction of mathematical arguments and its interplay with student agency by Mueller et al. (2012). This original framework is supplemented by (i) testing and revising it in the context of open-ended real-life tasks, with (ii) student groups rather than pairs working on the tasks, and by (iii) offering a strengthened methodological pathway for analysing student agency in such a context. Based on our findings, we suggest that the framework suits this new context with some extensions. First, we note that differences in student agency were not only identified in terms of the discourse students drew on, but in how students were able to shift between various discourses, such as between “mathematical” and “non-mathematical” discourses. We identify a novel discourse reflecting student agency, invalidation discourse, which refers to denying other students’ agency by framing their contribution as invalid. Finally, we discuss the need to reframe “mathematical” arguments—and indeed student agency—while the task at hand is open-ended and concerns real-life contexts.

Introduction
Over 20 years ago, Forman et al. (1998) were struggling with the same issue as we do nowadays: How can research guide teachers to facilitate mathematical learning through collaborative argumentation? Collaborative mathematical activities do not just see students as individuals working together, but as a collective (Leeet al., 2006). Contemporary curricula around the world highlight the importance of mathematical collaboration; team-working skills have been introduced as "key twenty-first century skills" (OECD, 2013). Research on mathematics education has also shifted towards understanding the social factors of mathematics learning (Lerman, 2000). As Forman et al. (1998, p. 547) put it: "Mathematics can no longer be seen as a purely individual epistemic activity but rather as an activity which is social in a principled way".
What remains undertheorised is the multifaceted nature of mathematical collaborative problem-solving (CPS) in the context of open-ended tasks. Such tasks often require students to collaborate without direct guidance by the teacher (Chan & Clarke, 2017;Langer-Osunaet al., 2020;Langer-Osuna, 2018;Yeo, 2017). According to Sullivanet al. (2015), open-ended tasks require the teacher to relinquish some level of control over student activity so that students have a chance to build their own mathematical arguments rather than just finding those established by the teacher. Furthermore, open-ended tasks sometimes draw on real-life contexts 1 that require students to use their personal experiences in the collaborative process of producing mathematical arguments (Jurdak, 2006;Yeo, 2017). Earlier research has elaborated on the literate (scholarly mathematical discourse connected to school learning and mathematical concepts) and colloquial (everyday spontaneous discourse, such as counting money) mathematical discourses (Ben-Yehuda et al., 2005;Moschkovich, 2007). However, how collaboration manifests as learners would need to shift between literate and colloquial mathematical arguments-and perhaps even non-mathematical arguments-has been rarely elaborated.
As Chan and Clarke (2017) argue, open-ended CPS tasks offer affordances for student collaboration, but the realisation of such affordances is highly dependent on the students involved and their interaction. Thus, student agency has been strongly connected with the collaborative construction of mathematical arguments during CPS (Boaler & Greeno, 2000;Wagner, 2004Wagner, , 2007. Broadly, agency is demonstrated when students take initiatives and make contributions during mathematical collaboration (Gresalfi et al., 2009;Mueller et al., 2012). Student agency is widely advocated in current educational research (Matusov et al., 2016), yet the paradoxical nature of "promoting someone's agency" (Nieminen et al., 2021) in mathematical CPS remains understudied (Nieminen & Tuohilampi, 2020). Enactments of agency are complex; students might exert agency by resisting teachers' intentions by, for example, choosing to disengage from the task at hand (Alrø & Skovsmose, 2003;Emirbayer & Mische, 1998). Furthermore, how agency is shared between learners from different backgrounds during open-ended CPS remains undertheorised, even though it has been widely argued that such practices would benefit students with various backgrounds and abilities (Chizhik, 2001;Civil & Hunter, 2015; CREA [Centre of Research in Theories and Practices that Overcome Inequalities], 2012; Davis & Simmt, 2003).
In this study, we draw on the framework by Mueller et al. (2012) on collaborative construction of arguments and its interplay with agency to analyse two groups of students taking part in CPS. We apply the framework to open-ended tasks that utilise real-life contexts, or namely, other contexts than mathematics (Beswick, 2011;Jurdak, 2006;Yeo, 2017). As such, our study supplements earlier research on, for example, shared authority (Langer-Osuna et al., 2020;Langer-Osuna, 2018) in this novel context of open-ended real-life tasks. Furthermore, we empirically test the framework with small groups of four students rather than pairs as in the original article. We shed light on the complexity of the "social" in mathematical collaboration (Forman et al., 1998;Lerman, 2000) by focusing on how agency is shared, not shared, and restricted during CPS. In Fig. 1, we emphasise our contribution: What kind of affordances do mathematical problem-solving tasks that draw on both open-endedness and real-life contexts offer for shared agency?
2 Student agency in mathematics collaborative problem-solving In this section, we introduce relevant literature related to our study. As our research focus is on student agency, we first introduce previous research on collaboration more generally as it is central to the idea of shared agency. We then present our conceptualisation of "student agency" and introduce earlier studies from the intersection of the three fields of research we operate in Fig. 1, again keeping our focus on student agency.
How to promote collaborative learning of mathematics has been a vibrant research area over the past decades. However, earlier literature on fostering meaningful and productive mathematical collaboration has largely been teacher-focussed, concerning how teachers could support desirable forms of collaboration and agency (Slavit & Nelson, 2010;Stein et al., 2008). Yet as collaboration itself turns into a learning goal, it is necessary to examine how students collaborate without direct guidance by their teachers (Chan et al., 2018;Mueller et al., 2012). In this study, we draw on the concept of student agency to examine collaboration during CPS. As "agency" is not a universal concept but should be defined situationally (Matusov et al., 2016), we conceptualise the term in relation to mathematical CPS. In recent years, there have been multiple calls for applying sociocultural frameworks to examine student agency to challenge the dominant individualistic approaches (Arnold & Clarke, 2014;Nieminen et al., 2021;Nieminen & Tuohilampi, 2020). Following these suggestions, agency in this study is understood as a situationally constructed phenomenon, not as a student attribute but as a social phenomenon constructed through language and practices; this is a widely shared understanding in the field of mathematics education (Boaler & Greeno, 2000;Gresalfi et al., 2009;Mueller et al., 2012;Wagner, 2004Wagner, , 2007. Wagner (2004) implied that language acts as an instrument that offers a way to study the concept of agency indirectly. Analysing agency thus repels notions such as "have" or "lack" agency, since agency is not seen as residing in students but is constructed through their collaboration (Gresalfi et al., 2009). The situated nature of agency (in contrast to more stabilised concepts such as "identity") might reflect larger societal positions of agency and non-agency (Matusov et al., 2016). In this study, we focus on microlevel constructions of agency as students engage in collaborative problem-solving activities.
"Agency" is, however, a risky concept. Many related concepts (e.g. authority, positioning) hold a normative function (e.g. "we must support students' authority in mathematics"). While research on student agency often aims at "promoting" agency, students might use their agency for actions we consider as maladaptive (Emirbayer & Mische, 1998). For example, Nieminen and Tuohilampi (2020) noted that mathematics students used their "promoted agency" not only to learn efficiently but to cheat, slack, and so forth. Students might agentically shift their focus from learning mathematics to something else (Alrø & Skovsmose, 2003). Thus, sometimes it is desirable to hinder student agency. Furthermore, Nieminen and Tuohilampi (2020) emphasised that in addition to the goal of supporting student agency, teaching practices should prevent producing passive or lacking student agency. The processes of fostering agency and hindering the restriction of agency surely overlap, but they might also differ greatly.
We drew on a conceptualisation of agency based on language (Wagner, 2004) and utilised the framework by Mueller et al. (2012) that concerns agency in the construction of mathematical arguments (building on the work by Alrø & Skovsmose, 2003). Mueller and colleagues investigated discourses during mathematical problem-solving to understand their connections with agency. The framework distinguishes between three different modes of mathematical collaboration: co-construction, integration, and modification. The distinction is based on the discourse students use during the collaboration mode, and further, these discourses define whether students act as primary or secondary agents.
Co-construction of arguments involves students engaging in a back and forth process during which "the argument is simultaneously built from the ground up" (Mueller et al., 2012, p. 378). This collaboration mode consists of negotiary discourse during which the students share their agency; in other words, the mathematical ideas go beyond those already internalised by any individual (see also Powell, 2006). During co-construction processes, it is not possible to determine primary or secondary agents, but all students share their agency. In contrast, during integration of arguments, a primary agent's argument is strengthened using arguments from their peers, who then act as secondary agents. Thus, it is possible to identify a primary agent who leads the collaboration process, yet the final argument is constituted by secondary agent(s) (Mueller et al., 2012). Integration processes involve both informative (seeking or providing information without judging; from the primary agent to the secondary agent) and interpretive (teasing out the meaning behind a peer's argument; from the secondary agent to the primary agent) discourses. Finally, modification of arguments occurs as primary agents "attempt to correct a peer or assist him/her in making sense of a model of argument that was originally expressed in an unclear or incorrect way" (Mueller et al., 2012, p. 378). Modification processes consist of interpretive discourses as described above.
As the teacher is usually not directly guiding CPS, the importance of careful task design for student agency is emphasised (Chan et al., 2018;Chan & Clarke, 2017). Chizhik (2001) argued that productive collaboration depends on task design as open-ended tasks might provide more opportunities for non-dominant student groups to participate in argumentation. Civil and Hunter (2015) reminded that real-life contexts might better enable non-dominant mathematics students to "be themselves, that is, they could bring in their cultural ways of being and acting, including their home language(s), their ways of speaking, their use of humor, and values not necessarily encountered in other areas of their schooling" (p. 308). Heterogeneous student groups and novel task designs have been shown to enable reimagining agentic positions for students who are traditionally seen as underachievers (Esmonde & Langer-Osuna, 2013;DeJarnette & González, 2015). Focusing on students' authority in mathematics, Langer-Osuna et al. (2020) found out that while students were able to share both social and intellectual authority in mathematics, it was social authority that was more malleable and dynamic.
One of Mueller et al. (2012) study's main implications is that even though coconstruction of mathematical arguments is often valued, the integration and modification processes also play important roles in mathematical collaboration. They argued that interpretive and informative discourses can be as "powerful" (Mueller et al., 2012, p. 384) as negotiary discourses since some students might not be willing to use all three discourse patterns. It was then stated that none of the processes should be valued over others. Whether all students would be able to participate through many forms of collaboration is exactly in the scope of this study.
Furthermore, applying the framework by Mueller et al. is important in real-life contexts that require argumentation beyond mathematics. Earlier research has focussed specifically on mathematical argumentation (Campbell et al., 2020;Nordin & Björklund Boistrup, 2018); so does the framework by Mueller et al. We extend our analysis of agency to nonmathematical argumentation as well, showing that the intertwinement of "mathematical" and "non-mathematical" as agency is shared and non-shared in CPS.

Study aim
The overall study aim is to understand shared (and non-shared) agency in mathematical collaboration as the task design is both open and draws on real-life contexts (Fig. 1). We applied Mueller et al.'s (2012) framework to analyse student agency based on the video recordings of two groups of students taking part in CPS. The Mueller et al. framework was elaborated by offering an analytical pathway for identifying the discourses (negotiary, interpretive, informative). The following research questions (RQs) were formulated: (RQ1) What modes of collaboration (co-construction, integration, modification) did the students take part in while solving the open-ended CPS task? How did the modes of collaboration reflect student agency (shared, primary, secondary agency)? (RQ2) What kind of mathematics discourses did students draw on (literate, colloquial, non-mathematical, or other discourses)? RQ2 was open for new discourse types as well.

Participants and data collection
This study drew its data from the larger Social Unit of Learning Project (Chan et al., 2018). Intact Year 7 classes from a secondary school in metropolitan Melbourne were recruited with their usual teacher to exploit existing student-student and teacher-student interactive norms. Eleven classes of Year 7 students (12 to 13 years old; 264 students in total) participated in the project. Each class participated in a 50-to 60-min session in the laboratory classroom as the students completed problem-solving tasks individually, in pairs, and in small groups (4-6 students). The laboratory classroom facility was designed to allow simultaneous and continuous documentation of classroom interactions using multiple cameras and microphones. The current study focused on the small group work (20 min) of two groups.
The data collected for the project included the following: all written material produced by the students; video footage of all of the students during the session; transcripts of teacher and student speech based on the video recording; and recording and transcripts of pre-and postsession teacher interviews.
The teacher of each class was asked to assign the groups based on what the teacher thought would function well for the CPS tasks. The current study included two groups of four students from the same class. Group 1 included Aruna (female), Natalie (female), Michael (male), and Daniel (male), and the second group included Nafisa (female), Ji-na (female), Adrian (male), and Nicholas (male) (pseudonyms). In the post-session interview, the teacher explained that the groups were assigned so that the students within one group would be "dissimilar but not too dissimilar" in mathematical ability. These two groups were chosen for the present study based on two criteria. First, all of the students in the group had sufficient English fluency that would enable them to participate in the task. Also, for this analysis, we chose groups who were able to produce a finalised solution to the task. Based on the pre-session interview with the teacher, we characterised the eight students. The teacher framed Michael and Daniel as a "fairly high-ability pair", while contrasting Aruna and Natalie as a "fairly low-ability pair". Furthermore, the teacher characterised Aruna as "probably the weakest student in the class", and Natalie as "not as weak as Aruna is but probably in the lower end of the middle". Of the second group, the teacher claimed Nafisa and Ji-na being a "middling" ability pair, and Adrian and Nicholas were described as "the highest performing students". The problem-solving task that the students undertook drew from previous research (e.g. Clarke & Sullivan, 1990) and was purposefully chosen to make the thinking and social processes of the problem-solving activity visible. The task was open in terms of answer, methodology, and complexity (Yeo, 2017); it allowed students to use different strategies and forms of knowledge and experience: Fred's apartment has five rooms. The total area is 60 m 2 . Draw a plan of Fred's apartment. Label each room, and show the dimensions (length and width) of all rooms.

Analytical pathway
The analysis was based on transcripts of the video-recorded CPS sessions. The analysis was first conducted for group 1 to trial and refine the analytical procedure. After refining and confirming the analytical path, the same set of analytical steps was conducted in the same manner for group 2. Throughout the analysis, the findings and the process were compared and discussed until a consensus between the research team members was reached (Clarke et al., 2006).
The purpose of this first analytical step was to familiarise the authors with the dataset and to divide the data into manageable "building blocks" for further analysis. First, the first author identified the negotiative events (Clarke, 2001) from the transcript. A negotiative event was defined as "an utterance sequence constituting a social interaction with a single identifiable purpose" (Chan & Clarke, 2017, p. 959). The size of a unit was kept as small as possible so that each negotiative event between four (or fewer) students would only contain this one identifiable purpose, and each unit was coded through a data-driven in vivo coding process (Saldaña 2016). The video data were frequently referred to during the analysis to confirm the purpose of each sequence. This first phase concluded in 63 negotiative events with group 1 and in 48 events with group 2. The unclear units were constantly discussed between the authors during the coding process until consensus was met.
The negotiative events were used as "building blocks" to construct coherent patterns with an identifiable start, a student clearly initiating a new topic, and a final argument; these discursive patterns, consisting of multiple negotiative events, were called Discussion Topics. The negotiative events were read through and classified based on their in vivo code-each building block was connected and sequenced with those that belonged to the same Discussion Topic. For example, a Discussion Topic by group 1 was "What is the size of the bathroom?" The Discussion Topic consisted of four negotiative events (Events IDs 14, 21, 34, and 36), with the final argument being "two by two". In this example, the students were discussing this topic in a rather disorganised way-after the discussion about the size of the bathroom in Event ID 14, Event ID 15 concerned the size of a guest room, and Event ID 16 included the theme of "apartment kitchens normally being very small".
After reconstructing the student conversation, each utterance (or small clusters of them) within these collaboration modes was coded using Mueller et al.'s (2012) classification for negotiary, informative, and interpretive discourses. The utterances that could not be clearly categorised as one of the discourses (such as brief utterances like "okay") were either left uncoded or were coded as a part of some other utterance, depending on the context. The uncoded utterances were re-examined for discourses that were outside Mueller et al.'s categories.
Utilising the categories for negotiary, informative, and interpretive discourses, each Discussion Topic was coded as co-construction, integration, or modification. Following Mueller et al. (2012), the coding process for each collaboration modes was conducted: & If the set of negotiative events included only negotiary discourse, the Discussion Topic was coded as co-construction. & If the process included both informative and interpretive discourses, it was coded as integration. & If the process included only interpretive discourses, it was coded as modification.
It is notable that many Discussion Topics included elements of other discourses too; the coding took a comprehensive approach that considered the process as a whole. For example, the Discussion Topic "What is the size of the bathroom?" (Event IDs 14, 21, 34, 36) was coded as a "modification process". However, in the middle of the collaboration mode, Event ID 34 included utterances coded under "negotiary discourse". In these utterances, the students were "ping-ponging" between ideas about the size of the bathroom, with Natalie drawing while Daniel and Aruna suggested ideas. In the end, Daniel took over the situation through informative discourse ("so the toilet should be like one by one").
To answer RQ2, we needed an analytical tool to differentiate between mathematical and other forms of discourse. In real-life contexts, where does the boundary lie? We examined whether and how students would use mathematical discourse (Moschkovich, 2007). We drew on Ben-Yehuda et al.'s (2005) distinction between literate and colloquial mathematical discourses (see also Moschkovich, 2007). Literate discourses are based on the use of mathematical concepts, definitions, theorems, and mathematics learnt in school; colloquial discourses deal with everyday; and spontaneous mathematics. Our purpose was not to strictly categorise all mathematical language in these two silos, nor was our focus on where the boundary between "colloquial" and "non-mathematical" lies. Instead, we used this simplistic categorisation to better understand student agency in CPS, and we noticed that the categorisation was indeed fit for this purpose.
We coded each utterance in terms of whether it showed literate or colloquial mathematics discourse. Following the first analysis phase, some coded units consisted of two or more utterances. The following decisions were utilised: & If the unit contained formal mathematical concepts or definitions (e.g. "four times two"), it was coded as literate discourse. & If the unit contained language that concerned mathematical ideas without using formal concepts (e.g. "the kitchen needs to be bigger than the bathroom"), it was coded as colloquial discourse. & If the unit could not be coded as either literate or colloquial discourse, it was simply coded as "unclear."

Overview of the collaborative processes
Before presenting the findings, we briefly describe the CPS process for both groups. Group 1 started by listing all the possible options for rooms. The students first discussed who lives in the house and then started to sketch their ideas about the size of each room (the living room, bathroom, spa, guest room, kitchen). Only after this did the students start to think about the position of each room, as well as the shape of the whole apartment. The turning point was when Daniel realised their plan for the apartment went over by 10 m 2 from the task specification and started to fix this. After adjusting the size of the living room, bathroom, and kitchen, another turning point occurred: Michael noted that now their proposed solution was 20 m 2 short of the task specification. For the remaining task time, the group focused on increasing the area of the apartment. Their solution (Fig. 2) did not form a coherent apartment, which reflects the way their CPS process concentrated on the individual rooms. Throughout the process, all four students took part in the discussion; Michael was the only one taking larger breaks from engaging with the task. However, whenever Michael participated, he took the lead in the mathematical discussion. Overall, Daniel and Natalie were the ones leading the conversation.
The CPS process of group 2 was strikingly different. Simply watching the video revealed that the group was not working effectively: Most of the time, Adrian and Nicholas were solving the problem together. The process started with all four students pondering about what the five rooms could be. The group did not have similar kinds of "turning points" as group 1 had, but they constantly reflected on and adjusted their plan. For example, at one point, Adrian, Nicholas, and Nafisa realised they needed to add one extra square meter, which is why they ended up including a cupboard in their final solution. Group 2 concentrated on coming up with a solution that represented a real-life apartment, and they thought about the locations of the doors so that Fred could move around in the apartment (Fig. 3). The students seemed to have Fig. 2 The final solution of group 1 Fig. 3 The final solution of group 2 different roles in the CPS process. Nicholas concentrated on solving the task, and he often seemed rude as he took the lead in the process and did not always appreciate everyone's contribution. Adrian tried to involve the girls ("you can choose where the rooms are in the house") but oftentimes failed. Ji-na was not keen on participating in solving the task-at some point she shrieked "I seriously don't want to do this", yet still continued collaborating with the others. Nafisa was eager to participate, but many times her contributions were ignored.

Findings
The findings are represented in three phases. First, we provide an overview of the data (RQ1): What collaboration modes were identified, and how was agency constructed within them? Second, we shed light on how the open-ended real-life task offered affordances for sharing (and not sharing) agency during the collaboration modes by offering multiple examples (RQ2). Finally, we introduce a new discourse type that was identified in our analysis.

Overview of the modes of collaboration and agency
The quantified collaboration modes of the two groups are presented in Tables 1 (group 1) and 2 (group 2). We provide descriptions of each Discussion Topic, the student who initiated it, the What is the size of the living room? Daniel Integration Six times five. 5 What is the size of the bathroom? Natalie Modification Two by two. 6 What is the size of the spa? Daniel Integration Four times four. 7 What is the size of the guest room? Natalie Co-construction A bit smaller than the bedroom. 8 What is the size of the kitchen? Natalie Co-construction Two and four. 9 What is the shape of the apartment? Daniel Co- Natalie Integration Not every apartment has a balcony.

Table 2
The The CPS process consisted of many forms of collaboration for group 1, but the process of group 2 mainly involved co-construction. Daniel and Natalie initiated most of the Discussion Topics for group 1, whereas Adrian and Nicholas initiated all but one of them in group 2; Aruna and Ji-na never initiated a Discussion Topic. The final arguments vary from those that resemble literate mathematical discourse ("four by four") to those drawing on colloquial discourse ("we do not need a backyard since this is an apartment"), highlighting the nature of the open-ended real-life task.
Tables 3 and 4 present the discourses the student took part in during each Discussion Topic (neg = negotiary; inf = informative; int = interpretive). We distinguished between primary and secondary agents according to Mueller et al.'s (2012) classification. The blanks in Tables 3 and 4 related to these terms refer to shared agency during coconstruction processes during which primary or secondary agents could not be defined, which again draws on the definition by Mueller and colleagues. In group 1, agency was shared during most of the co-construction processes (Tables 2 and 3). However, in group 2, some of the co-construction processes involved identifiable primary and secondary agents; this will be elaborated in relation to the invalidation discourse. Finally, we departed from Mueller et al. (2012) by distinguishing between lacking agency and being absent from collaboration. "Absent" means that the particular student took no part at all in the collaboration process, whereas "no agency" means that the student tried to participate but was ignored or that their contribution was debunked (which, again, will be elaborated on in relation to the invalidation discourse). The size of the bathroom Adrian Co-construction Nine square meters. 3 The size of the living room Adrian Co-construction Five times four. 4 Revising the plan Adrian Co-construction Each room has to be 10 square meters now. 5 The size of the bedroom Nafisa Co-construction 21 square meters. 6 The size of the dining room Nicholas Co-construction Three by three. 7 Adjusting the apartment in general Nicholas Co-construction Extra square meter needs to be added. 8 Sharing the rest of the area for kitchen and bedroom

Nicholas Integration
Bedroom is nine and the rest goes for kitchen. 9 How to walk through the rooms in the apartment Adrian Co-construction See Image 2.
10 What are the doors of the apartment?
Nicholas Co-construction See Image 2.

11
The size of the cupboard Adrian Co-construction One by one. 12 Do we need a backyard? Adrian Co-construction No. It's an apartment.

Shifting between and beyond mathematical and non-mathematical
In this section, we introduce the affordances of the open-ended real-life task offered for sharing agency. Examples are given in relation to all of the three collaboration modes (co-construction, integration, modification). The final arguments in the collaboration processes reflected both literate (e.g. "Three by four" by group 1, DT ID = 14) and colloquial mathematics discourse (e.g. "That's a perfect square!" by group 1, DT ID = 11). Furthermore, some of the final arguments seemed to reach beyond "mathematical" (e.g., "No. It's an apartment." by group 2, DT ID = 12). Co-construction was the most common form of collaboration for both of the groups (Tables 1 and 2). At first glance, both tables tell a story of a rather successful story of mathematical problem solving. Tables 3 and 4 highlight that all of the students except for Ji-na had access to negotiary discourses that characterise co-construction. It seemed that the open-ended real-life task enabled the students to share their agency.
However, the co-construction processes did not only consist of literate mathematical discussion. Solving the CPS task required not only literate and colloquial mathematics discourses, but non-mathematical discourses as well. Both groups started solving the task by listing rooms that are traditionally found in Western apartments: kitchen, living room, bathroom, and bedroom. These processes-that included the students brainstorming by coming up with silly and funny proposals-were characterised by negotiary discourses. Some of the co-construction processes included no literate mathematics discourses at all, which made them inclusive for many students. In group 1, all the students shared their agency while discussing the five rooms (DT ID = 1). Within such co-construction processes, there were often many utterances coded as "unclear" in terms of whether they were colloquial or not. For example, Excerpt 1 shows how group 1 discussed the differences between a house and an apartment. This brief co-construction process included the students discussing mathematical concepts such as ratios (as "tiny" is always tiny in relation to something) yet whether such ideas reflected "colloquial" or "non-mathematical" discourse is debatable.
Excerpt 1: Group 1, DT id = 2 Daniel: This is really big because apartments Aruna: Are really tiny. Daniel: You don't say. Natalie: This is precisely my -my apartment's living room except it's like -like -like. Daniel: I would say like six by five. Excerpt 2 contains an example of a co-construction process in which literal and colloquial discourses were intertwined. In the example, Nicholas wonders about how big are bathrooms normally. This is yet another example of an utterance coded as "unclear", as understanding what "normal" means surely requires mathematical understanding, but other forms of knowledge too such as cultural knowledge about the sizes of bathrooms in modern societies. Our analysis of literate and colloquial mathematics discourses revealed differences in students' collaboration patterns. Following the definition of co-construction (Mueller et al., 2012), none of the contributions by students could have been removed without disrupting the final argument. This did not mean that all of the contributions were equal in mathematical terms. A good example of this is Michael, who was absent from 10 of the 21 collaboration processes, but whose contributions were thoroughly characterised by literate mathematics discourses. Michael rarely engaged in conversations concerning general discussions about the positions of the rooms or how the rooms should be decorated. Many times, Michael "saved" the situation at hand. During a turning point for group 1, the students realised they had accidentally drawn an outline for a bedroom that is too small. Michael, who has been quiet for a while, suddenly initiated by offering help. What followed was a sequence during which his literate mathematics discourse was used to draw the conclusion on the size of the bedroom: Excerpt 3: Group 1, DT id = 12 Michael: Guys, just -just a suggestion. Natalie: I hate this table. Michael: You can either… Daniel: How're we going to -oh yeah, that's true. But that's outside. That's technically not… Natalie: It could be like part of. Michael: You can change this. Aruna: I wish there was a. Michael: You can change this to eight times four or -or you can change this. Daniel: Why eight times four, that's huge? Natalie: Yeah. It is huge. Daniel: No, no, no. It's good.
In contrast, Nafisa and Aruna rarely took part in literate mathematics discourse, even when they did have access to negotiary discourses. Interestingly, we identified that other students "translated" these students' colloquial mathematics discourse into literate discourse. This can be seen in Excerpt 4. The examples show how Daniel and Michael translate Natalie's colloquial mathematics discourse into literate: Excerpt 4: Group 1, DT id = 13 Aruna: All you got to have in the living room is a TV and some sofas, that's all you have. So you don't have to have a… Daniel: What? Like -so what? Natalie: Yeah. You need sofas. Daniel: Like four by four? Natalie: You need enough -we -you -you need enough to fit at least a sofa and a TV. Michael: Five by four. Natalie: That's also gigantic. Daniel: It depends what sofa you get. Natalie: Yeah. Just get one of those tiny ones. Daniel: Four by four or four by five?

Showing agency through a repertoire of discourses
The co-construction processes were more accessible for all students than the modification and interpretation processes. Adrian and Nicholas and Daniel and Michael often worked together by shifting through various modes of collaboration (co-construction, integration, modification). They flexibly utilised a repertoire of discourses (negotiary, interpretive, informative). The same can be said, to a lesser extent, of Natalie. Even Ji-na, who was largely not participating during the task, accessed many discourses (Tables 3 and 4). Aruna and Nafisa almost exclusively drew on negotiary discourses and thus took part in co-construction processes. A further look at the data revealed that they also rarely used literate mathematics discourse that, in our dataset, was required in the modification and interpretation processes.
As an example, the following excerpt (Excerpt 5) is a part of a larger modification process. In the excerpt, Michael uses "bossy" language (informative discourse): "We need 16". Yet overall, Michael showed secondary agency, as his initiative was taken further by other students, and the final argument was proposed by Daniel. During the modification process, Aruna and Natalie discussed the furniture of the room, while Michael led the conversation as the primary agent. This is a rare example of Aruna drawing on interpretive discourse ("All you're going to need...") that challenged Michael's initiative. But from the viewpoint of solving the task, Aruna's contribution is small, as pondering the furniture is finally ignored by Michael.

A new discourse identified: Invalidation discourse
We identified a new discourse: invalidation discourse. Invalidation discourse focused on framing a partner's contribution to the collaboration process as completely invalid, without further discussion. It was identified within all of the collaboration modes (co-construction, integration, modification). The invalidation discourse did not always manifest through words such as "no", but through ignoring and neglecting the contribution of another student. This discourse appears to differ from the interpretive discourse which aims to tease out the meaning behind one's argument. Often, it conveyed a sense of rejection. The totality of the invalidation discourse compared to the interpretive one can be seen in Excerpt 6: Excerpt 6: Group 1, DT id = 5 Natalie: I'll make the toiler smaller, okay? It's just a draw… Daniel: So toilet should be like one by one? Aruna: Yes. Natalie: No. That'll be tiny. You know what one by one is?
The invalidation discourse was not necessarily insensitive or unkind towards others. It was carried out by someone who thinks they know, towards others who they think do not know. In the example above, Natalie is probably correct; a toilet that is one square meter is tiny! Even then, it was evident in the data that invalidation discourse built on totality.
As noted, the task resulted in an intertwinement of mathematical (both literate and colloquial) and non-mathematical language. This was seen with invalidation discourse too, as the debunked arguments reflected all sorts of knowledge, not only mathematical. Not all general knowledge shared during the solving of the task was taken as valid knowledge by the students. As invalidation discourse was used towards another student, we coded that to represent "no agency", as the discourse completely deemed one's contribution as invalid. For example, Aruna's own experiences of apartments in Sri Lanka were actively deemed as invalid through the invalidation discourse. The other students saw Aruna's knowledge and experiences restricting the CPS process. Therefore, her agency was restricted multiple times, even though she actively tried to participate throughout the whole CPS process. Excerpt 7 shows how invalidation discourse manifested in practice: Excerpt 7: Group 1, DT id = 21 Daniel: Every apartment has a balcony. Natalie: Not every… Aruna: Daniel, not every. My dad has an apartment, right, in Sri Lanka and he doesn't have a balcony. Natalie: That's in Sri Lanka. We're talking about Australia. Aruna: Yeah. But there's a lot of apartments in Sri Lanka that have lots of balconies.
The invalidation discourse often aimed to advance the CPS process rather than disrupt it, as invalid contributions were the ones that were seen as disruptive. Restricting another student's agency led to the enhancement of the problem-solving process and, finally, to a more elaborated answer to the task at hand. For example, Nafisa often tried to take part in the co-construction processes but was neglected through invalidation by Nicholas and Adrian. Excerpt 8 shows how Nafisa tried to take part in a co-construction process that drew heavily on literate mathematics discourse. Her agency was restricted through direct invalidation ("No."): Excerpt 8: Group 2, DT id = 6 Nicholas: Okay. The kitchen will be a three by three, the bedroom will be a three by four.

Discussion
We have drawn on Mueller et al. (2012) to conceptualise agency as a socially constructed phenomenon that lies in the heart of mathematical collaboration. We applied this framework in the contexts of open-ended real-life tasks. Our analytical pathway offers future research a way to unpack how agency is shared in group collaboration. Our study confirms that through a careful research design and transparent reporting of the analytical process, the framework by Mueller et al. offers valuable information about the contributions of students in CPS drawing on real-life contexts. Overall, our study highlights the complex nature of student agency; we elaborate on what is meant by "supporting agency" in CPS.
As collaborative activities and "knowledge co-construction" are highly appreciated goals in education (Iiskala et al., 2011;Lee et al., 2006;Slavit & Nelson, 2010;Stein et al., 2008), it is encouraging that in our study, co-construction processes through negotiary discourses characterised the CPS process of both of the student groups. Our findings show that integration and modification processes were most often utilised by those who were already leading the overall CPS process through primary agency. This is an interesting finding given that, as Mueller et al. (2012) put it, the way co-construction is often valued might undermine integration and modification processes that are just as important for CPS. The open-ended real-life task turned the tables and changed co-construction (and the negotiary discourses within) as the most accessible form of mathematical CPS. All the students, other than Ji-na who mostly did not participate in the task, were able to share their agency together.
The CPS task required both literate and colloquial mathematics discourses (Ben-Yehuda et al., 2005;Moschkovich, 2007) and knowledge beyond "mathematical". While our coding of the students' utterances in terms of literate and colloquial discourse was simplistic, it enabled us to dig deeper into how agency was shared by the students. Michael, Daniel, Adrian, and Nicholas, who the teacher characterised as high performing students, utilised literate mathematics discourses as a part of their discursive repertoires; Natalie to a lesser extent ("fairly low abilities"); and Aruna, Nafisa, and Ji-na rarely. It seems that the open-ended real-life task enabled students to share agency, but mostly in terms of colloquial and non-mathematical discourses. This finding reflects earlier research on mathematical authority, as historically, who has authority in mathematics classrooms has been restricted (Civil & Hunter, 2015;Esmonde & Langer-Osuna, 2013;Langer-Osuna, 2018). Indeed, in our dataset, the boys were the ones who mostly showed primary and drew on literate mathematics discourses, and Aruna's non-Western experiences were debunked. These processes might reflect systemic injustice in mathematics education, but of course our study only included two student groups. Nevertheless, the viewpoints of gender and ethnicity offer important aspects for future research in the context of open-ended real-life tasks. In Langer-Osuna et al.'s (2020) study, students' intellectual authority was shown to be more stable during CPS than their social authority; a similar process was seen here with student agency. This raises questions about the purpose of the task. Promoting activities with shared agency in mathematics is a worthwhile goal itself. However, if tasks aim to foster literate mathematics discourses as a part of collaboration, it might be that more organised instructions or teacher scaffolding is needed. Mueller et al. (2012) concluded that all three collaboration modes (co-construction, integration, modification) are equally important for CPS. We complexify this argument a bit. While our analysis supports Mueller et al.'s argument that different modes of collaboration include different forms of agency, we note that shifting between discourses (negotiary/ interpretive/informative, literate/colloquial) is a manifestation of agency too: A more varied repertoire of discourses reflected higher student agency. In our data, some students translated other students' colloquial mathematics discourse into literate discourse; certainly such processes reflect primary and secondary agency. Future studies could examine how the diversity of discourses, and thus agency, during CPS could be supported.
We identified a novel invalidation discourse. This discourse highlights the complex way mathematics learners use their agency in desirable and undesirable ways (Nieminen & Tuohilampi, 2020). As earlier studies have noted, the contribution of marginalised students such as non-native language speakers might get neglected in mathematical CPS (Esmonde & Langer-Osuna, 2013;DeJarnette & González, 2015). Aruna's knowledge and experiences of Sri Lanka were deemed invalid, which restricted Aruna's agency during collaboration. It has been stated that during CPS processes, students' literate mathematical contributions might be seen as invalid (Campbell et al., 2020;Nordin & Björklund Boistrup, 2018); our findings confirm that openended real-life tasks also hold affordances for invalidating students' colloquial and nonmathematical contributions (Esmonde & Langer-Osuna, 2013). While there is a considerable amount of literature on learners' everyday knowledge being rejected in mathematics classrooms (e.g. Gorgorió & Planas, 2005), we have raised this issue specifically in relation to student agency during mathematical CPS. An obvious implication for practice is to avoid such circumstances, as invalidation might reflect the processes of racism, ableism, and so forth. In our dataset, invalidation discourse restricted Aruna from bringing in her own cultural knowledge (see also Civil & Hunter, 2015). However, from the viewpoint of the task, invalidation discourse advanced CPS, not hindered it. Indeed, conflict itself needs not be avoided in mathematical CPS, especially in heterogeneous learner spaces (Esmonde & Langer-Osuna, 2013). Aruna's experiences from Sri Lanka started a conversation that first formed a barrier to the CPS process but then led into argumentation and collaboration and, finally, a solution. It made sense that her contribution was invalidated if the ultimate goal for CPS was seen to be the final solution. On the other hand, if the ultimate educational goal was "collaboration", this situation could be deemed problematic. If open-ended real-life tasks aim to foster diverse experiences and ways of knowing, the educational goals need to be acknowledged in task design. In classroom situations, teachers may prepare students about how to deal with emerging conflict situations as part of the CPS instructions. Perhaps student participation in task design would hold affordances for producing motivating real-life tasks that aim for shared agency by allowing diverse personal experiences being considered in the process?
Our study has its limitations. First, our analysis did not consider the temporal shifts of agency. We acknowledge that the temporal aspect of agency could be a useful area to pursue in future research. In our analysis, and consistent with Mueller et al.'s (2012) approach, our analytical focus was on the overall argumentation of the students. When solving the task, the students in our study shifted between different modes of collaboration over time. Future studies could track the temporal changes or different trajectories of agency in the course of the CPS activity. Furthermore, the student activities were filmed in a laboratory classroom, allowing the students' conversations to be recorded in detail. Every effort was made to preserve existing social relationships between the students and their teacher for the filming, but we understand the limitations of the laboratory setting for interpreting classroom norms. Further studies could apply these ideas in various socio-cultural-political classroom contexts. Our lack of students' background information restricts us from broadening our implications; arguably, students' previous history in mathematics classrooms affects their agentic behaviour. Also, what exactly is the interplay of students' prevalent identity and positioning (macro-level) and their situational agency (micro-level) forms an interesting future trajectory on studies concerning, for example, agency and power. Future studies could focus on participatory research designs with the students. Here, it was the researchers who analysed students' agency; as Nieminen and colleagues (2021) note, studies on "agency" miss something crucial if the targets of the study cannot exercise their agency in the research process.
Our study has offered a micro-level investigation of shared (and non-shared) student agency in mathematical CPS. Finally, we note that we do not want to further construct the divisive values between mathematical and non-mathematical-or, indeed, the division itself. Instead, we suggest that we need to rethink these boundaries in task design and reach for their intersection where the lived and personal becomes mathematical. Our study is certainly not the first to have suggested something along these lines, but we have investigated the affordances that open-ended real-life CPS tasks hold for this. While carefully designed, open-ended CPS tasks might truly enable students from diverse backgrounds to show their agency through collaboration.
Funding Open access funding provided by University of Eastern Finland (UEF) including Kuopio University Hospital.
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