Christothea Herodotou|Martin Hlosta|Avinash Boroowa|Bart Rienties|Zden?k Zdráhal|Chrysoula Mangafa
Empowering online teachers through predictive learning analytics
The Open University|Open University of Hong Kong|Open Knowledge (United Kingdom)|The Open University|Open Knowledge (United Kingdom)|Open University of Hong Kong|Open Knowledge (United Kingdom)|The Open University|Open University of Hong Kong|Open Knowledge (United Kingdom)|The Open University|Open University of Hong Kong|The Open University|Open University of Hong Kong|Open Knowledge (United Kingdom)|The Open University|Open University of Hong Kong|Open Knowledge (United Kingdom)
abstract study presents advanced predictive learning analytics system ou analyse oua evidence evaluation online teachers distance learning university oua predictive system uses machine learning methods early identification students risk submitting failing next assignment teachers access via interactive dashboards weekly predictions risk failing students study examined degree oua usage 559 teachers 189 given access oua related student learning outcomes 14 000 students 15 undergraduate courses teachers made average use oua accessed oua throughout life cycle course presentation particular 10 40 weeks course running intervened students flagged risk found benefit students controlling differences academic performance students found significantly better performance peers previous years course presentation teachers made use predictive learning analytics predictive learning analytics innovative students support approach online pedagogy shown study empower online teachers effectively monitoring intervening students approaches result improved learning outcomes practitioner notes already known topic pedagogical personal support students significant responsibility online teachers students support challenging activity due lack facetoface interactions predictive learning analytics pla identify students risk failing studies paper adds one largescale studies available examining impact analytics students performance teachers usage pla significantly related better learning outcomes online teachers students better learning outcomes accessing pla data rather access implications practice andor policy pla empower online teachers complement teaching practice pla help identification proactive intervention students risk failing studies actions taken motivate engage online teachers pla