The Effectiveness of Cognitive Load and Internal Motivation on the Performance in Study Skills

The current study aims to identify the effect of each of the levels of cognitive load and internal motivation and interaction among them on performance in the following study skills (receiving information, understanding information, storing information, and retrieving information). The study’s basic sample consisted of (116) male and female 11 th -grade students in Amman schools in Jordan. The study instruments included the cognitive load measure prepared by Mohammed Neama and Najeh Mamouri, 2015, and developed the researchers, the motivation test for Learning prepared by de Gopal Rao, 2004 and developed by the researchers, and the receiving information measure prepared by Ibrahim Sayed Samadouni, 1990 and developed by the researcher, and the understanding information measure prepared by Yahya Qasem; Fahmy Fadel, 2014 and developed by the researchers), and the storing information measure prepared by Adel Hussein, 2001 and developed by the researchers, in addition to the students' grade point average (GPA) as an indicator for retrieving information. The results found that there is a statistically significant effect of levels of cognitive load on the skill of storing information in favor of the low level. It also shows that there is a statistically significant effect of the levels of internal motivation on the skills of understanding information and storing information in favor of the high level. Besides, it shows that there is a statistically significant interaction of the effect of the cognitive load and the internal motivation on the information retrieving skill in favor of the high cognitive load with the high internal motivation, and the low cognitive load with the low internal motivation. Keywords: information processing methods, cognitive load, internal motivation, study skills. DOI: 10.7176/JEP/11-4-10 Publication date: February 29 th 2020

are the educational institution and its positive or negative impact on the student, the extent of importance and interest given to the student, and the level of his psychological adoption (Adas, 1999). Therefore, this study aims to examine the effect of each of the contents of the cognitive load and the internal motivation on performance in the study skills.

Problem of the Study
The knowledgeable person with an insight into the current educational reality in the Hashemite Kingdom of Jordan notices the traditional pattern that almost overwhelms many teaching methods, and the majority of these methods only focus on minimum thinking skills, and rarely rise to develop higher thinking skills. Because higher-order thinking skills are of great importance in bringing up a thoughtful, knowledgeable, and openminded generations who are aware of what is happening in their surroundings if they are smoothly taught and developed according to sound scientific foundations, a real need to develop the student's thinking styles and skills has finally emerged (Hamadan, 2005).
Despite scientific and technological progress in all fields, including the educational field, the teaching methods that are still used in schools depend to a large extent on spoon-feeding direct and provide the student with knowledge and skills of thinking and problem solving without being the focus of the teaching and learning process, where the greatest load falls on the teacher who has the largest role in student education. Many scientific processes are based on memorization away from employing different thinking methods, which has negatively affected the achievement of students in general (Abu Farah and Alyan, 2008).
The research problem also has emerged from the fact that there are many difficulties that students face due to large information and its overlapping. This overlapping requires high attention by students and the processing of this information during a specific period. This leads to memory fatigue even though the limited working memory capacity does not absorb it, leading to an increased cognitive load resulting from large information and its interaction, affecting the educational learning process. This also requires finding an effective strategy through which information can be received and processed with the lowest possible cognitive load, which contributes to transferring the impact of learning because reducing the cognitive load on working memory increases the effectiveness of the learning and teaching process and activates students' use of different thinking levels .
Many studies have also indicated that the level of motivation among students is not at the highest level, and this may be due to many reasons such as the nature of the subject matter and teaching methods used by teachers and factors related to the school infrastructure, and other matters that reduce students' motivation towards learning and achieving success in the different school subjects such as the 2008 study of Yamani . Because of the great momentum in the use of information technology in the various education departments, this led to the emergence of the so-called information load, which means a clear increase in the use of technology with a negative impact in the application or benefit from this technology in obtaining the necessary information and data in this field, and this has been mentioned by many researchers such as the 2010 study of Najjar and other researchers. In light of the lack of studies dealing with the impact of both levels of cognitive and internal motivation on performance in study skills, this has prompted the researchers to study this topic and area to attain results that may benefit those interested in this field.

Questions of the Study
In light of the study problem, the main question of the study is "What is the effect of each of the methods of processing information, levels of cognitive load and internal motivation on performance in study skills?" This question is divided into the following set of questions: 1. Is there an effect of levels of the cognitive load on performance in study skills (receiving information, understanding information, storing information, and retrieving information)? 2. Is there an effect of the levels of internal motivation on performance in study skills (receiving information, understanding information, storing information, and retrieving information)? 3. Is there an interaction between the cognitive load and the internal motivation in their effect on the skill of receiving information, the skill of understanding information, the skill of storing information, and the skill of retrieving information?

Objectives of the Study
The following objectives are formatted to answer the questions of the study. 1. Exploring the effect of the levels of cognitive load on performance in study skills (receiving information, understanding information, storing information, and retrieving information). 2. Identifying the effect of the levels of internal motivation on performance in study skills (receiving information, understanding information, storing information, and retrieving information). 3. Examining the interaction between the cognitive load and the internal motivation in their effects of the skill of receiving information, the skill of understanding information, the skill of storing information, and the skill of Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.11, No.4, 2020 93 retrieving information .

Significance of the Study
The importance of research stems from the practical aspect of being trying to identify the impact of each of the levels of cognitive load, internal motivation on performance in study skills at a time when these schools' reliance on knowledge has become a basis for carrying out their competitive role at the national and global levels, along with the positive effects to support this competitive position. The researchers believe that the study results will contribute to clarifying the impact of each of the methods of information processing, levels of cognitive load, and internal motivation on performance in study skills and that knowledge of this effect will contribute to preparing managers in those secondary schools to deal with a large amount of information in a better way. Also, the recommendations, suggestions, and techniques of the study will contribute to reducing this phenomenon and its negative effects on secondary schools in Jordan.

Terms of the Study First: Cognitive Load
The levels of the cognitive load are procedurally defined as the degree obtained by students through their response to the items of the cognitive load used in this research .

Second: Internal Motivation
It is procedurally defined as the degree obtained by the students on the internal motivation test used in this research.

Third: Study Skills
They are procedurally defined as the degree obtained by students on a measure of study skills used in this research .

Limits of the Study
The limits of the current study are as follows: 1. Objective limits: The application of the study is limited to measure the effectiveness of both methods of information processing, levels of cognitive load and internal motivation on performance in study skills. 2. Time limits: The study is applied to the academic year (2018/2019). 3. Spatial limits: The application of the study is limited to secondary schools in Amman, Jordan 4. Human limits: The application of the study is limited to a random sample of high school students in Amman, Jordan.

Previous Studies
There are few studies conducted on the area of methods of information processing, levels of cognitive load, and internal motivation on performance in study skills. In his 2010 study entitled "Relationship between Cognitive Load, Task Complexity, and Indicators of Plagiarism: Implications for Instructional Design", Garnica defines the relationship between the cognitive load as measured by the cognitive load measure and one of the indicators of imitation of writing style, as well as studying the relationship between the cognitive load, degree of the complexity of the task and one of the indicators of imitating the writing method. the study sample consists of (53) university students, and the measures of cognitive load and imitation of writing style are applied to the participants. The results of the study show that there is a statistically significant correlation between the high cognitive load and the tendency to imitate the writing style, and the degree of complexity of the task.
In his 2010 study entitled "Exploring the Influence of Information Overload on Middle Management Decision Making In Organizations", Carlevale aims to explore the impact of the increased information load on decision-making in organizations. The study is conducted by XYZ company in California, USA, and the review unit consists of (22) managers from middle departments. The study found that technology causes the load of information resulting from the huge amount of daily e-mails, which has caused more pressure to managers. The results also show that the cognitive load resulting from dealing with technology hinders the decision-making process. In another 2010 study entitled "A Study of University Student's Motivation and its Relationship with their Academic Performance", Afzal and et al. aim to reveal the level of motivation of university students and their relationship to academic performance. To achieve the goals of the study, the researcher used the academic motivation measure, and the study sample consists of (342) male and female Pakistani students from different universities. The results of the study show a correlation between internal motivation and academic performance. In another 2014 study entitled "The Effect of Training on Studying Skills in Internal Motivation, Achievement and Academic Skills for Eighth Grade Students in Jordan", David aims to identify the impact of training on studying skills in internal motivation and academic achievement, and academic skills of (144) students from eighth-grade students in Jordan. To attain the goal of the study, a measure of study skills is developed, along with the use of internal motivation measures. The study shows that there is a significant impact of training on effective study Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.11, No.4, 2020 skills, high internal motivation skills, academic achievement, and study skills.
Moreover, in another 2014 study entitled "Cognitive Methods and Academic Self-Efficiency as Predictors of the Cognitive Load of High School Students in Mafraq District", Khawaldeh aims to reveal the relative and predictive ability of both cognitive methods and academic self-efficacy in the cognitive load of (447) male and female high school students in the public schools in the Mafraq District. To achieve the goals of the study, a cognitive methods measure is prepared by Martin in 1983 and the self-efficacy measure is prepared by Badarine in 2008. To measure the cognitive load, two methods are used, the first is Pass psychometry of 1992, and the second is the short-term visual memory test using a computer application program. The study results show that there is a statistically significant predictive ability of cognitive methods by cognitive load.
In another 2019 study entitled "Self-Pity and Cognitive Load as Predictors of Learning Stress for Female Students in the College of Education in New Valley", Waer aims at examining the relationship of learning stress with both: self-pity and the cognitive load, and predicting learning stress from self-pity and the cognitive load among female students of the second year at the College of Education in the New Valle. The research sample consists of (191) female students from the second-year students at the College of Education in the New Valley. Three measures are applied to them as follows: (educational stress, self-pity, and cognitive load). The study shows that there is no statistically significant correlation between educational stress and self-pity, and there is a statistically significant correlation between educational stress and cognitive load. It also shows that educational stress can be predicted from self-pity and cognitive load in the study sample.
In light of the related previous studies, it has been found that the majority of students in pre-university education, especially the secondary stage, suffer from a high cognitive load due to the nature of the school life. Also, some studies indicate that there is a positive and statistically significant correlation between the cognitive load and each of: (task difficulty, degree of task complexity, stress generation, level of learning disability, and educational stress. Besides, other studies indicate that there are negative correlations and statistically significant relationships between the cognitive load and each of these elements of the decision-making process, kinesthetic learning style, academic self-efficacy, cognitive skills, first-degree cognitive control power, and critical thinking skills. Moreover, the study has found that there are statistically significant differences between low and high cognitive load in both critical thinking skills, cognitive skills, and academic self-efficacy) in favor of the low cognitive load.

Methodology of the Study 1. Methodology
In light of the aforesaid objectives, questions, and hypotheses, the current research necessitates the use of an analytical descriptive approach to verify the validity of the study hypotheses and answer their questions, where the researcher used arithmetic means and standard deviations for the responses of the sample members to the study variables. The analysis of variance is also used to identify the effect of the interaction among all independent variables (methods of Information processing (superficial -deep), cognitive load measure (highlow), internal motivation (high -low), and performance in study skills for a sample of 11 th -grade students in the Hashemite Kingdom of Jordan.

Study Sample a. A study sample verifying the psychometric properties
The study sample consists of (200) male and female students from the 11 th -grade students enrolled in Amman city schools. This sample is used to calculate the psychometric properties of the study instruments and to ensure the availability of validity and reliability criteria and their suitability for application to the basic sample.

b. Basic Study Sample
The basic study sample consisted of (116) male and female students from the 11 th -grade students in Amman city schools in the Kingdom of Jordan, and their ages ranged between 16-17 years. The sample is distributed according to each of the independent variables into several groups determined according to the following table: -

Measure Description
The measure in its initial form consists of (8) specific questions with a period, which measures the cognitive load Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.11, No.4, 2020 level (high -low) for 11th-grade students in Amman schools in Jordan, and determines the extent of their ability to encode the presented information and the extent to which it is stored in the working memory or not. In detail, each question is divided into one, two or three tasks and the student is required to answer these tasks at a specific time, so the student's degree for each of the questions ranges between 0 -3 degrees. Thus, the weighted mean for each cognitive load level is determined according to Table (2). Table (2) shows that there are two cognitive load levels: the low level and its degrees range between (13-24), and it reflects a high ability of students to deal with the presented information, code and store them in the working memory. It also included the high level of the cognitive load, and its degrees range between (0-12), which reflects the low ability of students to deal with the presented information, code and store them in working memory. The more the cognitive load is seen concurrently (exposure to large amounts of information), the lower the performance percentages will be in the processes of storing and recalling the information. Psychometric Properties of the Cognitive Load Measure First: Measure Validity a. Criterion Validity The researchers calculated correlation coefficients between the degrees of male and female students in the 11 thgrade school through the cognitive load measure developed by the researchers, and the cognitive load measure prepared by Helmy Fil (2015), and this is showed in Table (3).  Table (3) shows that there is an increase in the values of correlation coefficients of the cognitive load measure developed by the researchers, along with the values of correlation coefficients of the cognitive load measure prepared by Helmy Fil (2015). In detail, the correlation value between the total degree of the measure and the total degree of the criterion reached (0.825), which means that there is a statistically positive correlation at the level of significance (0.01) between the cognitive load measure (developed by the researchers) and the cognitive load measure (criterion). This indicates the validity of the criterion for the cognitive load measure used in this research .  Internal Consistency Internal consistency has been used to explore correlation coefficients between the items of cognitive load measure and the total degree of the measure as showed in the following table:  (4) shows that there is an increase in the values of correlation coefficients for items of cognitive load measure and the total degree of the measure, where the values of correlation coefficients ranged between (0.389 and 0.610), and all of them are statistically significant values at the level of significance (0.01). This indicates the internal consistency of the measure and its applicability to the basic sample .

Second: Reliability of the Cognitive Load Measure
The researcher has calculated the reliability coefficients for the total degree of the measure in two methods: Cronbach-Alpha and the Split-half, as showed in Table 5 .
Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.11, No.4, 2020  Table (12) shows that there is an increase in the values of students' reliability coefficients of the total degree of cognitive load, where the Cronbach-alpha coefficient is (0.505), and the Guttmann split-half reliability coefficient is (0.522). By using the Spearman-Brown correction formula, the reliability coefficient reaches (0.526), indicating the reliability of students' degrees on the cognitive load measure and the suitability of using it with the basic study sample .

The Final Form of the Measure
The cognitive load measure in its final form consists of (8) specific questions with a period, which measures the cognitive load level for 11 th -grade students in Amman schools in Jordan, and determines the extent of their ability to encode the presented information and the extent to which it is stored in the working memory or not. Each question is divided into one, two or three tasks, and the student is required to answer these tasks at a specific time. In the light of these tasks, the student is classified into a student with a low cognitive load whose degree on the measure as a whole ranges between 13-24, and a student with a high cognitive load whose degree on the measure as a whole ranges from 0-12.

Motivation Test for Learning Prepared by De Gopal Rao, 2004 and developed by the Researchers. Measure Description
The measure in its initial form consists of (20) items, which measures the internal motivation level for learning for 11 th -grade students in Amman schools in Jordan. It has been created by selecting two possible alternatives (A and B) that complement the meaning, noting that both options are correct, but each option expresses the student's internal motivation type (low motivation -high motivation).
According to the answer to the measure items, the student gets one degree in the case of selecting an option that expresses the low internal motivation, and two degrees in the case of selecting an option that expresses the high internal motivation, and thus the total degree of the measurement ranges between (20 -40) degrees . Table (6) shows that there are two internal motivation levels for learning: the low level and its degrees range between (1 -20) degrees, expressing a weak readiness and low ability to learn. It also includes the high level of internal motivation to learn, and its degrees range between ( 21-40) degrees, expressing a high readiness and ability for students to learn.

Psychometric Properties of the Internal Motivation Measure First: Measure Validity a. Criterion Validity
The researcher calculated correlation coefficients between the degrees of male and female students in the 11 thgrade school through the internal motivation for learning measure prepared by De Gopal Rao and developed by the researchers and Marcia Conner's 1993 motivation measure as shown in Table (7).  (7) shows that there is an increase in the values of correlation coefficients of Rao's internal motivation measure developed by the researchers and Conner's motivation measure, where the correlation coefficient value between the total degree of the measure and the total degree of the criterion reached (0.519), and this means that there is a statistically positive correlation at the level of significance (0.01) between the internal motivation measure (0.01) between the internal motivation measure (developed by the researchers) and the motivation measure (criterion). This indicates the validity of the criterion for the measure developed by the researcher.  Internal Consistency Internal consistency has been used to explore correlation coefficients between the items of internal motivation measure and the total degree of the measure as showed in the following table: Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.11, No.4, 2020 (8) shows that there is an increase in the values of correlation coefficients for items of internal motivation for learning measure, as all of the values are statistically significant at the level of significance (0.01) except for the items (8, 16) where their correlation coefficient is (0.126, 0.082) respectively, requiring the researcher to delete them so that the measure has an internal consistency Second: Reliability of the Internal Motivation Measure The researcher has calculated the reliability coefficients for the total degree of the measure in two methods: Cronbach-Alpha and the Split-half, as showed in Table 9 . Table (9) shows that there is an increase in the values of students' reliability coefficients of the total degree of internal motivation, where the Cronbach-alpha coefficient is (0.769), and the Guttmann split-half reliability coefficient is (0.694). By using the Spearman-Brown correction formula, the reliability coefficient reaches (0.684), indicating the reliability of students' degrees on the measure and the suitability of using it with the basic study sample .

The Final Form of the Measure
The internal motivation measure in its final form consists of (18 items). It measures the level of internal motivation for learning for 11 th -grade students in Amman schools in Jordan. This has been done by selecting two possible options (A and B) that complement the meaning. According to these options, the student is classified into a student with a low internal motivation whose grades on the measuring range between (1-18) degrees, and a student with a high motivation to learn whose grades on the measuring range between (19-36) degrees.

Study Skills Measure Measure Description
The study skills measure in its initial form consists of four sub-measures aiming at identifying study skills, and they are defined as the ability of 11 th -grade students to practice school activity well and as required . The study skills measure is applied to the survey sample, which is estimated by (200) male and female students from the 11 th -grade school in Amman, Jordan. Below is an accurate description of each sub-measure of study skills: First: Receiving Information Measure Prepared by Ibrahim Sayed Samadouni, 1990 and developed by the researcher. The receiving information measure is considered as the first sub-skill of the study skills measure, as the quality of receiving information during the learning process represents an accurate objective indicator for focusing the attention required for the learning process. This measure includes two parts:

a. Pair Numbers Test (PNT)
It is a table consisting of (9) consecutive rows, and each row contains a group of numbers having a multiplication relationship. The student is required to read the numbers horizontally, focus on each row, and place a circle on any two numbers whose product of the multiplication is equal to (20 or 30 or 40) out of each two horizontally consecutive numbers within two minutes. The student is given a degree for each of the horizontal grades of the test, and therefore the total degree for the pair numbers test ranges between 0-9 degrees.
b. Letter Cancellation Test (SLCT) It is a table that contains the letters of the alphabet in a disorganized way. The student is required to focus well on the letters in each row and cross out any of the letters that form the word "Tourism" or the word "Home", and when he finishes from the first row, he moves to the second row and so on within two minutes. The student is given a degree for each of the horizontal grades of the test, and therefore the total degree for the Letter Cancellation Test ranges between 0-10 grades.

Second: Understanding Information Measure Prepared by Yahya Qasem and Fahmy Fadel, 2014 and Developed by the Researchers
The Information Understanding Skills Measure is the second sub-skill of the study skills measure and aims to identify the level of 11th-grade students in understanding the presented information presented. This measure consists of four questions: The first question: It consists of four sub-questions of the multiple-choice type. The student is required to answer them in a one-minute period through a silent reading of some poetic verses and then place a correct sign in front of the correct choice. The student gets one degree in each question, Thus, the total degree for this question ranges between (0-4) degrees. The second question: It consists of four essay sub-questions that the student answers in a three-minute period through an understanding of the read piece. The student gets one degree in each question, and thus the total degree for this question ranges between (0-4) Degrees. The third question: It consists of four paragraphs that contain a number of wrong words. The student is required to underline the wrong word and define it in a one-minute period. The student gets one degree in each question, and thus the total degree for this question ranges between (0-4) degrees. The fourth question: It consists of four sub-questions of the fill-in blank type through reading some options, and the student must answer them within a two-minute period. The student gets one degree in each question, and thus the total degree for this question ranges between (0-4) degrees.

Third: Storing Information Measure Prepared by Adel Hussein, 2001 and Developed by the Researchers.
The information storing skill measure is considered to be the third sub-skill of the study skills measure and aims to identify the ability of the 11th-grade school students to store the largest amount of the presented information. This measure consists of four main tasks: numbers task, letter task, real words task, abstract words task, and meaningless words task. Each student is required to listen to each task and write down what he had heard in the place designated for each task. The student gets four grades for each task of the four tasks, and thus the total degree of the measurement ranges between (0-16) degrees. Fourth: Retrieving Information Measure: It is understood by the cumulative average of male and female degrees. The results of the statistical analysis process related to the study variables and its descriptive and inferential statistics have been reviewed using the SPSS program .

Hypotheses Discussion First and Second Hypothesis Validity Test
The first hypothesis states "There is a statistically significant effect of cognitive load levels on performance in study skills" as follows: A-The skill of receiving information . B-The skill of understanding information . C-The skill of storing information .

D-The skill of retrieving information .
To verify the validity of this hypothesis, the researcher calculated the Multivariate Analysis of Variance for each of the study skills: (receiving information, understanding information, storing information, and retrieving information) in light of cognitive load levels as showed in Table (11).  (11) shows that there is no statistically significant effect of the cognitive load levels on the skill of receiving information, the skill of understanding information, and the skill of retrieving information as one of the study skills, as the calculated value of "F" is (0.408, 2.931, 2.468) respectively, and all of the values are not statistically significant. It is also evident that there is a statistically significant effect of the cognitive load levels (high and low) on the skill of storing information, as the calculated value of "F" is (4.512), which is statistically significant value at the level of significance 0.05. With reference to the marginal means, it is clear that the differences are in favor of the low level.
The researchers show that there is a statistically significant effect of the cognitive load levels (high and low) on the skill of storing information in favor of the low level because the skill of storing information is one of the skills that require many mental processes such as attention and coding. In other words, these processes are greatly affected by the number of stimuli that the individual experiences. When there are many stimuli, it represents a high cognitive load to the student, making him unable to store information in short-term memory, and it is clear from this that there is a direct relationship between the amount of presented information and the cognitive load level. The cognitive load, through the theory of information processing, deals with everything related to memory and its types, as the working memory is the one that pays attention to the information and processes it for audio and visual elements. Also, it relates to the limited time that the information holds, as this limitation is behind the educational weakness, requiring to find the right strategies to counter them.
Moreover, the problem of cognitive load is closely related to working memory, as working memory is an active dynamic system because it focuses on dealing style and storage capacity at the same time, merging and translating previously stored information (Reddy et al., 2004, p15). In the working memory, the information industry is made in the sense that we are aware of its processing, and it is limited in the amount of information and the duration of focusing on it, and these two cases are directly proportional to the age at a certain point. The rate of keeping information in the working memory is between (18-36) hours, and we have the ability to change the way in which the information is processed every 2 seconds. Therefore, the justification is clear in the relationship of influence and mutual influence between the low level of cognitive load and the skill of storing information in the memory, which confirms the incompatibility of the storage of presented information to the individual in the event of a high cognitive load. The result of this hypothesis is consistent with the results of many previous studies that dealt with the relationship of cognitive load levels with some other variables, including the 2002 study of Flad, which aimed to identify the impact of the increase in the cognitive load in the standards of self-decision and the bilateral tasks of mental effort during the problem-solving process. The results of the study indicated a positive correlation between the low cognitive load, self-efficacy, and difficulty of the task.
This result is consistent with the 2010 study of Carlevale, which aimed at exploring the impact of the information load on decision-making in organizations and technology companies. The results pointed to the information load resulting from the huge amount of everyday e-mail, causing managers more pressure. The Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.11, No.4, 2020 100 results also show that the high cognitive load resulting from dealing with technology hinders the decisionmaking process. It is also consistent with the 2019 study of Waer, which aimed at examining the relationship of learning stress with both: self-pity and the cognitive load of university students. The study also shows that there is a statistically negative correlation between learning stress and self-pity, and the presence of a statistically significant correlation between learning stress and cognitive load .
In the light of the foregoing, the researchers see the necessity for the school to play its role entrusted in entrenching students with strategies for coding and storing information (such as segmentation, clustering, organizing information, and encouragement), and other strategies that enable students to obtain scientific material and deal with the vast amount of presented information inside the classroom and by recalling the courses.

Third Hypothesis Validity Test
The third hypothesis states "There is a statistically significant effect of the levels of internal motivation on performance in study skills" as follows: A-The skill of receiving information . B-The skill of understanding information . C-The skill of storing information . D-The skill of retrieving information . To verify this hypothesis, the researcher calculated the Multivariate Analysis of Variance for each of the study skills: (receiving information, understanding information, storing information, and retrieving information) in light of the levels of internal motivation as showed in Table (12).  Table ( 12) shows that there is no statistically significant effect of the levels of internal motivation on the skill of receiving information, and the skill of retrieving information as one of the study skills, as the calculated value of "F" is (0.893, 3.766) respectively, and all of the values are not statistically significant. It is also evident that there is a statistically significant effect of the levels of internal motivation on the skills of understanding information and storing information as one of the study skills, as the calculated value of "F" is (7.084, 6,790), respectively, and both of them have statistically significant values at the level of significance 0.01. Concerning the marginal averages, it is clear that the differences are in favor of the high level .
The researchers show that there is a statistically significant effect of the levels of internal motivation (high and low) on the skills of understanding information and storing information as a study skill in favor of the high level because motivation is the primary driver of every human behavior, and internal motivation is defined as a behavior that stems from within the individual and pushes him to perform tasks and activities based on curiosity and interest. Therefore, it is natural and intuitive when study skills are affected and improved by the high internal motivation to learn, as it is a personal desire that expresses a state of readiness to acquire, understand, and retrieve information without any external pressures, practices or attempts to solicit students by teachers in the classroom. Decie believes that these two needs provide the individual with a driving force called internal motivation, and therefore self-motivated behavior satisfies the individual's need for independence, self-direction, and a sense of efficiency and effectiveness in dealing with the surrounding environment. Desai assumes that feelings of self-independence and efficiency are the internal promoters of self-driven behavior (Ryan & Decie, 2006). (Qatamy, 2000) believes that the most important characteristic of students with a high internal motivation is the strong desire to accomplish and master the learning, as these students consider achievement and mastery an important source of self-realization. It is consistent with the 2010 study of Afzal, Ali, Khan, and Hamid, which aimed to reveal the level of motivation of university students and their relationship to academic performance. The results of the study show that the internal motivation has a positive impact on student achievement, along with the fact that the student average has increased by (0.23 -0.34) in favor of students with internal motivation .
It is also consistent with the 2011 study of Yao, Kan, and Cheng, which aimed to reveal levels of internal motivation toward study, curiosity, and external organization between females and males. The results of the study show that levels of internal motivation toward study, curiosity, and external organization among the students are similar and high in both genders. It is consistent with the 2018 study of Abdullah's study. The study aims to reveal the level of family functions, the level of emotional intelligence, and the level of internal academic motivation, in addition to identifying the predictive ability of family functions in emotional intelligence and academic internal motivation. The results show a positive correlation and a statistically significant relationship between each of the family functions, emotional intelligence, and academic internal motivation. The study also shows that emotional intelligence can be predicted through variables of the family's job performance and the level of academic internal motivation.

Fourth Hypothesis Validity Test
The fourth hypothesis states "There is a statistically significant interaction between the cognitive load and the internal motivation in their effect on the skill of receiving information, the skill of understanding information, the skill of storing information, and the skill of retrieving information .
To verify the validity of this hypothesis, the researcher calculated the Multivariate Analysis of Variance to find the effect of the interaction between cognitive load and internal motivation on performance in study skills as showed in Table (13).  (13) shows that there is no statistically significant interaction of the impact of the cognitive load and internal motivation on the skill of receiving information, the skill of understanding information, and the skill of storing information. The calculated "F" value is (0.217, 1.376, 2.239), as all of the values are not statistically significant. While there is a statistically significant interaction of the effect of cognitive load (high, low) and internal motivation (high, low) on the skill of retrieving information, the calculated value of "F" is (7.955), which is statistically significant value at the level of significance 0.01. Referring to the table of marginal averages, we notice that the interaction in favor of a high cognitive load with high internal motivation, and a low cognitive load with low internal motivation .
The researchers show that there is a statistically significant interaction to the influence of the cognitive load and the internal motivation on the skill of retrieving information in favor of high cognitive load with high internal motivation, and low cognitive load with low internal motivation to the characteristics of individuals and learners. Individuals with a high internal motivation enjoy their and mastery of learning, as these students consider achievement and mastery important sources of self-realization.

Recommendations
In light of the current research results, the researchers recommends the following: Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.11, No.4, 2020 102 1-Developing training programs in grade schools related to methods of processing information through meetings, training courses, and workshops. 2-Training students on how to face the cognitive load through the use of strategies to encode and store information. 3-Conducting more research that deals with raising the level of internal motivation as a cornerstone in pushing students towards higher academic learning and achievement. 4-Directing teachers to learn about the learning methods preferred by their students, because this helps the teacher select the learning media and methods of presentation appropriate for them. 5-Searching for the means and methods that reduce the level of the learner's cognitive load to achieve the highest degree of educational effectiveness. 6-Avoid using methods that increase the complexity of the educational subject that is presented to the learner not to increase the cognitive load among learners. Fourth: Future Studies and researches: In light of the results of the current study, the researchers recommend conducting the following future studies: 1-Study the differences in cognitive load levels amongst students of practical and theoretical departments. 2-The relationship of the learner's cognitive load levels to the teaching methods used by the teacher. 3-The relationship of the cognitive load levels with the level of performance in the oral and written tests. 4-making a comparative study of cognitive load levels among students who prefer cooperative learning and students who prefer competitive learning. 5-Studying the effect of strategies (direction, retention, and cognitive preference, acquiring concepts on academic achievement.