NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 29 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Brennan, Amelia; Sharma, Akshay; Munguia, Pablo – Journal of Learning Analytics, 2019
A common use of technology in higher education is the provision of online course materials, invoking an investigation of the ways in which students engage with online course content, and how their participation changes over time. This is particularly necessary in the context of high absenteeism from lectures, where online access may be the only…
Descriptors: Attendance, Lecture Method, Technology Uses in Education, Higher Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Herodotou, Christothea; Rienties, Bart; Verdin, Barry; Boroowa, Avinash – Journal of Learning Analytics, 2019
Predictive Learning Analytics (PLA) aim to improve learning by identifying students at risk of failing their studies. Yet, little is known about how best to integrate and scaffold PLA initiatives into higher education institutions. Towards this end, it becomes essential to capture and analyze the perceptions of relevant educational stakeholders…
Descriptors: Prediction, Data Analysis, Higher Education, Distance Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mangaroska, Katerina; Sharma, Kshitij; Giannakos, Michail; Træteberga, Hallvard; Dillenbourg, Pierre – Journal of Learning Analytics, 2018
This study investigates how multimodal user-generated data can be used to reinforce learner reflection, improve teaching practices, and close the learning analytics loop. In particular, the aim of the study is to utilize user gaze and action-based data to examine the role of a mirroring tool (i.e., Exercise View in Eclipse) in orchestrating basic…
Descriptors: Eye Movements, Student Behavior, Computer Science Education, Programming
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Atapattu, Thushari; Falkner, Katrina – Journal of Learning Analytics, 2018
Lecture videos are amongst the most widely used instructional methods within present Massive Open Online Courses (MOOCs) and other digital educational platforms. As the main form of instruction, student engagement behaviour, including interaction with videos, directly impacts the student success or failure and accordingly, in-video dropouts…
Descriptors: Lecture Method, Video Technology, Online Courses, Mass Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Davis, Dan; Kizilcec, René F.; Hauff, Claudia; Houben, Geert-Jan – Journal of Learning Analytics, 2018
Large-scale online learning environments such as MOOCs provide an opportunity to evaluate the efficacy of learning strategies in an informal learning context with a diverse learner population. Here, we evaluate the extent to which retrieval practice -- recognized as one of the most effective learning strategies -- facilitates long-term knowledge…
Descriptors: Learning Strategies, Online Courses, Electronic Learning, Informal Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
O'Connell, Kyle A.; Wostl, Elijah; Crosslin, Matt; Berry, T. Lisa; Grover, James P. – Journal of Learning Analytics, 2018
Historical student data can help elucidate the factors that promote student success in mathematics courses. Herein we use both multiple regression and principal component analyses to explore ten years of historical data from over 20,000 students in an introductory college-level Algebra course in an urban American research university with a diverse…
Descriptors: Mathematics Instruction, Algebra, College Students, College Mathematics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Nguyen, Quan; Huptych, Michal; Rienties, Bart – Journal of Learning Analytics, 2018
Extensive research in learning science has established the importance of time management in online learning. Recently, learning analytics (LA) has shed further lights on the temporal characteristics of learning by allowing researchers to capture authentic digital footprints of student learning behaviours. Nonetheless, students' timing of…
Descriptors: Time Management, Online Courses, Educational Technology, Technology Uses in Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mahzoon, Mohammad Javad; Maher, Mary Lou; Eltayeby, Omar; Dou, Wenwen; Grace, Kazjon – Journal of Learning Analytics, 2018
Data models built for analyzing student data often obfuscate temporal relationships for reasons of simplicity, or to aid in generalization. We present a model based on temporal relationships of heterogeneous data as the basis for building predictive models. We show how within- and between-semester temporal patterns can provide insight into the…
Descriptors: Data Analysis, Learning, Models, Time
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Oshima, Jun; Oshima, Ritsuko; Fujita, Wataru – Journal of Learning Analytics, 2018
The purpose of this study was to propose a mixed-methods approach to analyzing shared epistemic agency in jigsaw instruction from multiple temporal perspectives, and to evaluate its effectiveness by examining actual datasets. We employed a combination of socio-semantic network analysis (SSNA) and in-depth dialogical discourse analysis as a…
Descriptors: Mixed Methods Research, Cooperative Learning, Network Analysis, Discourse Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Shum, Simon Buckingham; Sándor, Ágnes; Goldsmith, Rosalie; Bass, Randall; McWilliams, Mindy – Journal of Learning Analytics, 2017
When used effectively, reflective writing tasks can deepen learners' understanding of key concepts, help them critically appraise their developing professional identity, and build qualities for lifelong learning. As such, reflective writing is attracting substantial interest from universities concerned with experiential learning, reflective…
Descriptors: Reflection, Writing Assignments, Educational Research, Data Collection
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Saucerman, Jenny; Ruis, A. R.; Shaffer, David Williamson – Journal of Learning Analytics, 2017
Learning to solve "complex problems"--problems whose solutions require the application of more than basic facts and skills--is critical to meaningful participation in the economic, social, and cultural life of the digital age. In this paper, we use a theoretical understanding of how professionals use reflection-in-action to solve complex…
Descriptors: Reflection, Problem Solving, Automation, Skill Development
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hart, Sara A.; Daucourt, Mia; Ganley, Colleen M. – Journal of Learning Analytics, 2017
In this study, we explore student achievement in a semester-long flipped Calculus II course, combining various predictor measures related to student attitudes (math anxiety, math confidence, math interest, math importance) and cognitive skills (spatial skills, approximate number system), as well as student engagement with the online system…
Descriptors: Academic Achievement, Calculus, Mathematics Instruction, Educational Technology
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Crick, Ruth Deakin; Knight, Simon; Barr, Steven – Journal of Learning Analytics, 2017
Central to the mission of most educational institutions is the task of preparing the next generation of citizens to contribute to society. Schools, colleges, and universities value a range of outcomes--e.g., problem solving, creativity, collaboration, citizenship, service to community--as well as academic outcomes in traditional subjects. Often…
Descriptors: Educational Improvement, Holistic Approach, Data Collection, Data Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Caprotti, Olga – Journal of Learning Analytics, 2017
This paper describes investigations in visualizing logpaths of students in an online calculus course held at Florida State University in 2014. The clickstreams making up the logpaths can be used to visualize student progress in the information space of a course as a graph. We consider the graded activities as nodes of the graph, while information…
Descriptors: Online Courses, Calculus, Markov Processes, Graphs
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Siebert-Evenstone, Amanda L.; Irgens, Golnaz Arastoopour; Collier, Wesley; Swiecki, Zachari; Ruis, Andrew R.; Shaffer, David Williamson – Journal of Learning Analytics, 2017
Analyses of learning based on student discourse need to account not only for the content of the utterances but also for the ways in which students make connections across turns of talk. This requires segmentation of discourse data to define when connections are likely to be meaningful. In this paper, we present an approach to segmenting data for…
Descriptors: Semantics, Discourse Analysis, Models, Epistemology
Previous Page | Next Page »
Pages: 1  |  2