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Pardos, Zachary A.; Horodyskyj, Lev – Journal of Learning Analytics, 2019
We introduce a novel approach to visualizing temporal clickstream behaviour in the context of a degree-satisfying online course, "Habitable Worlds," offered through Arizona State University. The current practice for visualizing behaviour within a digital learning environment is to generate plots based on hand-engineered or coded features…
Descriptors: Visualization, Online Courses, Course Descriptions, Data Analysis
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Echeverria, Vanessa; Martinez-Maldonado, Roberto; Shum, Simon Buckingham; Chiluiza, Katherine; Granda, Roger; Conati, Christina – Journal of Learning Analytics, 2018
From a human-centred computing perspective, supporting the interpretation of educational dashboards and visualizations by the people intended to use them exposes critical design challenges that may often be trivialized. Empirical evidence already shows that "usable" visualizations are not necessarily effective from an educational…
Descriptors: Story Telling, Visual Learning, Data Analysis, Visual Aids
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Brown, Michael; DeMonbrun, R. Matthew; Teasley, Stephanie – Journal of Learning Analytics, 2018
In this study, we develop and test four measures for conceptualizing the potential impact of co-enrollment in different courses on students' changing risk for academic difficulty and recovery from academic difficulty in a focal course. We offer four predictors, two related to instructional complexity and two related to structural complexity (the…
Descriptors: At Risk Students, Dropout Prevention, Difficulty Level, College Curriculum
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Gardner, Josh; Brooks, Christopher; Li, Warren – Journal of Learning Analytics, 2018
In this paper, we evaluate the complete undergraduate co-enrollment network over a decade of education at a large American public university. We provide descriptive and exploratory analyses of the network, demonstrating that the co-enrollment networks evaluated follow power-law degree distributions similar to many other large-scale networks; that…
Descriptors: Markov Processes, Classification, Undergraduate Students, Grade Point Average
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Khosravi, Hassan; Cooper, Kendra M. L. – Journal of Learning Analytics, 2018
Educational environments continue to evolve rapidly to address the needs of diverse, growing student populations while embracing advances in pedagogy and technology. In this changing landscape, ensuring consistency among the assessments for different offerings of a course (within or across terms), providing meaningful feedback about student…
Descriptors: Graphs, Academic Achievement, Student Evaluation, Models
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Gaševic, Dragan; Jovanovic, Jelena; Pardo, Abelardo; Dawson, Shane – Journal of Learning Analytics, 2017
The use of analytic methods for extracting learning strategies from trace data has attracted considerable attention in the literature. However, there is a paucity of research examining any association between learning strategies extracted from trace data and responses to well-established self-report instruments and performance scores. This paper…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Educational Research
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Casey, Kevin – Journal of Learning Analytics, 2017
Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…
Descriptors: Keyboarding (Data Entry), Educational Research, Data Collection, Data Analysis
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Gibson, Andrew; Kitto, Kirsty; Bruza, Peter – Journal of Learning Analytics, 2016
Modern society demands renewed attention on the competencies required to best equip students for a dynamic and uncertain future. We present exploratory work based on the premise that metacognitive and reflective competencies are essential for this task. Bringing the concepts of metacognition and reflection together into a conceptual model within…
Descriptors: Metacognition, Reflection, Writing Assignments, Undergraduate Students
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Howley, Iris; Rosé, Carolyn Penstein – Journal of Learning Analytics, 2016
The multifaceted nature of collaborative learning environments necessitates theory to investigate the cognitive, motivational, and relational dimensions of collaboration. Several existing frameworks include aspects related to each of these three. This article explores the capability of multi-dimensional frameworks for analysis of collaborative…
Descriptors: Automation, Computational Linguistics, Cooperative Learning, Discourse Analysis
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Knight, David B.; Brozina, Cory; Novoselich, Brian – Journal of Learning Analytics, 2016
This paper investigates how first-year engineering undergraduates and their instructors describe the potential for learning analytics approaches to contribute to student success. Results of qualitative data collection in a first-year engineering course indicated that both students and instructors emphasized a preference for learning analytics…
Descriptors: Undergraduate Students, Engineering Education, College Faculty, Attitude Measures
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Sonnenberg, Christoph; Bannert, Maria – Journal of Learning Analytics, 2015
According to research examining self-regulated learning (SRL), we regard individual regulation as a specific sequence of regulatory activities. Ideally, students perform various learning activities, such as analyzing, monitoring, and evaluating cognitive and motivational aspects during learning. Metacognitive prompts can foster SRL by inducing…
Descriptors: Metacognition, Cues, Control Groups, Outcomes of Education
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Papamitsiou, Zacharoula; Economides, Anastasios A. – Journal of Learning Analytics, 2014
Accurate and early predictions of student performance could significantly affect interventions during teaching and assessment, which gradually could lead to improved learning outcomes. In our research, we seek to identify and formalize temporal parameters as predictors of performance ("temporal learning analytics" or TLA) and examine…
Descriptors: Time Factors (Learning), Predictor Variables, Student Behavior, Academic Achievement
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Andergassen, Monika; Mödritscher, Felix; Neumann, Gustaf – Journal of Learning Analytics, 2014
Learner-centric research on factors influencing learning results has focused, among other things, on student characteristics, demographic data, and usage patterns in learning management systems (LMSs). This paper complements the existing research by investigating potential correlations between learning results and LMS usage during exam…
Descriptors: Drills (Practice), Repetition, Blended Learning, Correlation
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Méndez, Gonzalo; Ochoa, Xavier; Chiluiza, Katherine; de Wever, Bram – Journal of Learning Analytics, 2014
Learning analytics has been as used a tool to improve the learning process mainly at the micro-level (courses and activities). However, another of the key promises of learning analytics research is to create tools that could help educational institutions at the meso- and macro-level to gain better insight into the inner workings of their programs…
Descriptors: Data Analysis, Data Collection, Educational Research, Curriculum Design
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Ali, Liaqat; Hatala, Marek; Winne, Phil; Gaševic, Dragan – Journal of Learning Analytics, 2014
This study aims to investigate how the learning strategies and achievement goal orientations of students relate to their academic behaviours and performance in the context of an online learning system. The study also develops and validates a relational model between student learning strategies and achievement goals.
Descriptors: Goal Orientation, Academic Achievement, Learning Strategies, Questionnaires