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Holstein, Kenneth; McLaren, Bruce M.; Aleven, Vincent – Grantee Submission, 2019
Involving stakeholders throughout the creation of new educational technologies can help ensure their usefulness and usability in real-world contexts. However, given the complexity of learning analytics (LA) systems, it can be challenging to meaningfully involve non-technical stakeholders throughout their design and development. This article…
Descriptors: Learning Analytics, Technology Uses in Education, Artificial Intelligence, Stakeholders
Bozkurt, Aras; Zawacki-Richter, Olaf; Aydin, Cengiz Hakan – Online Submission, 2019
This study presents a social network analysis of the keywords attached to articles published in the "Turkish Online Journal of Distance Education" ("TOJDE"), a prominent journal in the field of open and distance learning. The social network analysis applied was based on a data mining and analytics approach. A total of 1120…
Descriptors: Social Networks, Network Analysis, Learning Analytics, Open Education
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Lang, David – Grantee Submission, 2019
Whether high-stakes exams such as the SAT or College Board AP exams should penalize incorrect answers is a controversial question. In this paper, we document that penalty functions can have differential effects depending on a student's risk tolerance. Moreover, literature shows that risk aversion tends to vary along other areas of concern such as…
Descriptors: High Stakes Tests, Risk, Item Response Theory, Test Bias
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Chen, Li; Lu, Min; Goda, Yoshiko; Yamada, Masanori – International Association for Development of the Information Society, 2019
Metacognition is an aspect in self-regulated learning and is necessary to achieve such learning in an effective and efficient manner. However, it is not always easy and accurate for learners to monitor or assess their own metacognition. In this study, we designed a learning analytics dashboard to improve self-regulated learning in online…
Descriptors: Learning Analytics, Metacognition, Learning Strategies, Information Management
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Lam, Paul; Lau, Carmen K. M.; Chan, Chi Him – International Association for Development of the Information Society, 2019
A successful flipped classroom relies heavily on student engagement in pre-class learning and their active participation in classroom activities. However, much to students' disappointment, their efforts in the learning process often go unnoticed in traditional assessment approaches (such as term papers and final examinations) that are more…
Descriptors: Flipped Classroom, Homework, Student Attitudes, Learning Processes
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Olney, Tom; Walker, Steve; Wood, Carlton; Clarke, Anactoria – Journal of Learning Analytics, 2021
Most higher education institutions view their increasing use of learning analytics as having significant potential to improve student academic achievement, retention outcomes, and learning and teaching practice but the realization of this potential remains stubbornly elusive. While there is an abundance of published research on the creation of…
Descriptors: Learning Analytics, Higher Education, STEM Education, College Faculty
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Zhang, Jingjing; Gao, Ming; Holmes, Wayne; Mavrikis, Manolis; Ma, Ning – Interactive Learning Environments, 2021
Feedback in exploratory learning systems has been depicted as an important contributor to encourage exploration. However, few studies have explored learners' interaction patterns associated with feedback and the use of external representations in exploratory learning environments. This study used Fractions Lab, an exploratory learning environment…
Descriptors: Interaction, Behavior Patterns, Discovery Learning, Fractions
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Osler, James Edward, II – Journal of Educational Technology, 2021
This paper provides a novel instructional methodology that is designed to conceptually address the four main challenges faced by 21st century students, who must learn in a multitude of educational settings (face to face, hybrid and online). The online learning neuroscience supported instructional methodology detailed in this article also provides…
Descriptors: Electronic Learning, Engineering, Instructional Innovation, Blended Learning
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Rioux, Charlie; Stickley, Zachary L.; Little, Todd D. – International Journal of Behavioral Development, 2021
Following the onset of the novel coronavirus disease 2019 (COVID-19) pandemic, daily life significantly changed for the population. Accordingly, researchers interested in examining patterns of change over time may now face discontinuities around the pandemic. Researchers collecting in-person longitudinal data also had to cancel or delay data…
Descriptors: Longitudinal Studies, COVID-19, Pandemics, Simulation
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McHugh, Douglas; Feinn, Richard; McIlvenna, Jeff; Trevithick, Matt – Education Sciences, 2021
Learner-centered coaching and feedback are relevant to various educational contexts. Spaced retrieval enhances long-term knowledge retention. We examined the efficacy of Blank Slate, a novel spaced retrieval software application, to promote learning and prevent forgetting, while gathering and analyzing data in the background about learners'…
Descriptors: Randomized Controlled Trials, Learning Analytics, Coaching (Performance), Formative Evaluation
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Halpin, Peter – Journal of Learning Analytics, 2021
This paper addresses dynamical interdependence among the actions of group members. I assume that the actions of each member can be represented as nodes of a dynamical network and then collect the nodes into disjoint subsets (components) representing the individual group members. Interdependence among group members' actions can then be defined with…
Descriptors: Learning Analytics, Group Dynamics, Group Membership, Interpersonal Relationship
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Lajoie, Susanne P. – International Journal of Artificial Intelligence in Education, 2021
I first met Jim Greer at the NATO Advanced Study Institute on Syntheses of Instructional Sciences and Computing Science for Effective Instructional Computing Systems in 1990 in Calgary, Canada. It was during this meeting that I came to realize that Jim was one of those rare individuals that could help "translate" computer science…
Descriptors: Models, Student Characteristics, Artificial Intelligence, Computer Uses in Education
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Valle, Natercia; Antonenko, Pavlo; Valle, Denis; Sommer, Max; Huggins-Manley, Anne Corinne; Dawson, Kara; Kim, Dongho; Baiser, Benjamin – Educational Technology Research and Development, 2021
Based on the achievement goal theory, this experimental study explored the influence of predictive and descriptive learning analytics dashboards on graduate students' motivation and statistics anxiety in an online graduate-level statistics course. Participants were randomly assigned into one of three groups: (1) predictive dashboard; (2)…
Descriptors: Online Courses, Graduate Students, Statistics Education, Anxiety
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Harmer, Nicholas J.; Hill, Alison M. – Journal of Chemical Education, 2021
The COVID-19 pandemic necessitated the move to online teaching and assessment. This has created challenges in teaching laboratory skills and producing assessments that are robust and fair. Our solution was to use bespoke laboratory videos to provide laboratory training and to generate unique data sets for each student in coursework and exams. For…
Descriptors: Pandemics, COVID-19, Science Instruction, Teaching Methods
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Wang, Yang; Stein, David – Distance Education, 2021
Understanding the role of teaching presence in students' learning can help improve online teaching. This study explored the effects of online teaching presence on students' cognitive conflict and engagement by analyzing three rounds of a course taught with different levels of teaching presence. The participants were 132 students enrolled across…
Descriptors: Learner Engagement, Electronic Learning, Online Courses, Psychological Patterns
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