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Pigeau, Antoine; Aubert, Olivier; Prié, Yannick – International Educational Data Mining Society, 2019
Success prediction in Massive Open Online Courses (MOOCs) is now tackled in numerous works, but still needs new case studies to compare the solutions proposed. We study here a specific dataset from a French MOOC provided by the OpenClassrooms company, featuring 12 courses. We exploit various features present in the literature and test several…
Descriptors: Success, Large Group Instruction, Online Courses, Prediction
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Harrison, Scott; Villano, Renato; Lynch, Grace; Chen, George – Journal of Learning Analytics, 2021
Early alert systems (EAS) are an important technological tool to help manage and improve student retention. Data spanning 16,091 students over 156 weeks was collected from a regionally based university in Australia to explore various microeconometric approaches that establish links between EAS and student retention outcomes. Controlling for…
Descriptors: Learning Analytics, School Holding Power, Integrated Learning Systems, Microeconomics
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Mahroeian, Hamid; Daniel, Ben – International Journal of Artificial Intelligence in Education, 2021
Interest in the use of analytics to support evidence-based decision-making in higher education is relatively a new phenomenon. The available research suggests that analytics can enhance an institution's ability to make evidence-based informed decisions that foster growth and increased productivity. The present study explored how institutions of…
Descriptors: Foreign Countries, Higher Education, Decision Making, Learning Analytics
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Guzsvinecz, Tibor; Szucs, Judit – Education Sciences, 2021
Face-to-face education has changed to blended or distance teaching due to the COVID-19 pandemic. Since education took a digital format, it can be investigated when course materials are accessed relative to online exams: are they opened before exams or during them? Therefore, four subjects were chosen for investigation at the University of…
Descriptors: Learning Analytics, Instructional Materials, Computer Assisted Testing, Electronic Learning
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Kokoç, Mehmet; Kara, Mehmet – Educational Technology & Society, 2021
The purposes of the two studies reported in this research are to adapt and validate the instrument of the Evaluation Framework for Learning Analytics (EFLA) for learners into the Turkish context, and to examine how metacognitive and behavioral factors predict learner performance. Study 1 was conducted with 83 online learners enrolled in a 16-week…
Descriptors: Learning Analytics, Electronic Learning, Measures (Individuals), Test Validity
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Shabbir, Shahzad; Ayub, Muhammad Adnan; Khan, Farman Ali; Davis, Jeffrey – Interactive Technology and Smart Education, 2021
Purpose: Short-term motivation encompasses specific, challenging and attainable goals that develop in the limited timespan. On the other hand, long-term motivation indicates a sort of continuing commitment that is required to complete assigned task. As short-term motivational problems span for a limited period of time, such as a session,…
Descriptors: Learning Motivation, Electronic Learning, Time Factors (Learning), Learning Processes
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Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
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Thai, Thuan; Hartup, Kate; Colbourn, Adelle; Yeung, Amanda – Australian Journal of Teacher Education, 2021
In Australia, teacher education students must pass the Literacy and Numeracy Test for Initial Teacher Education (LANTITE) to meet accreditation requirements. Although this has been mandated since 2016, there are currently few resources available for students to use in preparation for the test. To help students prepare for the numeracy component of…
Descriptors: Foreign Countries, Computer Assisted Testing, Mathematics Tests, Numeracy
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Zheng, Lanqin – Lecture Notes in Educational Technology, 2021
This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design…
Descriptors: Data Use, Instructional Design, Computer Assisted Instruction, Cooperative Learning
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Marras, Mirko; Vignoud, Julien Tuân Tu; Käser, Tanja – International Educational Data Mining Society, 2021
Early predictors of student success are becoming a key tool in flipped and online courses to ensure that no student is left behind along course activities. However, with an increased interest in this area, it has become hard to keep track of what the state of the art in early success prediction is. Moreover, prior work on early success prediction…
Descriptors: Benchmarking, Predictor Variables, Academic Achievement, Flipped Classroom
Hyejin Park – ProQuest LLC, 2021
A need for current science education has emerged in enhancing students' deep involvement in scientific practices in core disciplines. Students are encouraged to improve crosscutting concepts and disciplinary core ideas through authentic science practice through constructing theories about the real world, generating questions, conducting…
Descriptors: Epistemology, Research and Development, Scaffolding (Teaching Technique), Barriers
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Zhongzhou Chen; Tom Zhang; Michelle Taub – Journal of Learning Analytics, 2024
The current study measures the extent to which students' self-regulated learning tactics and learning outcomes change as the result of a deliberate, data-driven improvement in the learning design of mastery-based online learning modules. In the original design, students were required to attempt the assessment once before being allowed to access…
Descriptors: Learning Analytics, Algorithms, Instructional Materials, Course Content
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Peter Crosthwaite; Brett Steeples – Computer Assisted Language Learning, 2024
Corpus-based approaches to language and literacy education, commonly known as data-driven learning (DDL), are increasing in prominence. However, the vast majority of DDL interventions involve adult tertiary level learners, leaving a dire need for comprehensive DDL studies for secondary education. The present study reports on a half-year DDL…
Descriptors: Single Sex Schools, Females, Secondary School Students, Grammar
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Abdulkadir Palanci; Rabia Meryem Yilmaz; Zeynep Turan – Education and Information Technologies, 2024
This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…
Descriptors: Learning Analytics, Distance Education, Educational Trends, Periodicals
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Victor Manuel Corza-Vargas; Roberto Martinez-Maldonado; Boris Escalante-Ramirez; Jimena Olveres – Journal of Learning Analytics, 2024
While teachers often monitor and adjust their learning design based on students' emotional states in physical classrooms, synchronous online environments often limit their ability to perceive the emotional climate of the class. Drawing from the concept of social translucence, it is suggested that making students' emotional states…
Descriptors: Foreign Countries, Undergraduate Students, Privacy, Cultural Awareness
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