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Kent, Carmel; Cukurova, Mutlu – Journal of Learning Analytics, 2020
Although collaboration is considered a key 21st-century skill, oftentimes it is only assessed through the outcome measures of individual learners. In this paper, we draw upon collaborative cognitive load theory (CCLT) to explain the process of collaboration in learning from the point of view of the collective, rather than an individual learner.…
Descriptors: Cooperative Learning, Learning Analytics, Difficulty Level, Evaluation Methods
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Trezise, Kelly; Ryan, Tracii; de Barba, Paula; Kennedy, Gregor – Journal of Learning Analytics, 2019
Rural teachers and educators are increasingly called upon to build partnerships with families who use languages other than English in the home (US DOE, 2016). This is equally true for rural schools, where the number of multilingual families is small, and the language and cultural backgrounds of students differs from those of school. This article…
Descriptors: College Students, Cheating, Identification, Learning Analytics
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Harrak, Fatima; Bouchet, François; Luengo, Vanda – Journal of Learning Analytics, 2019
The analysis of student questions can be used to improve the learning experience for both students and teachers. We investigated questions (N = 6457) asked before the class by first-year medicine/pharmacy students on an online platform, used by professors to prepare for Q&A sessions. Our long-term objectives are to help professors in…
Descriptors: Medical Students, Pharmaceutical Education, Classroom Communication, Questioning Techniques
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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
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Rehrey, George; Shepard, Linda; Hostetter, Carol; Reynolds, Amberly; Groth, Dennis – Journal of Learning Analytics, 2019
To successfully implement Learning Analytics (LA) systems within higher education, we need to engage administrators, faculty, and staff alike. This paper is by and primarily for practitioners. We suggest implementation strategies that consider the human factor in adopting new technologies by analyzing the viability of our Learning Analytics…
Descriptors: Learning Analytics, Change Agents, School Culture, Technology Integration
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Dollinger, Mollie; Liu, Danny; Arthars, Natasha; Lodge, Jason M. – Journal of Learning Analytics, 2019
The value of technology lies not only with the service or functionality of the tool, but also with its subsequent value to the people who use it. New learning analytics (LA) software and platforms for capturing data and improving student learning are frequently introduced; however, they suffer from issues of adoption and continued usage by…
Descriptors: Learning Analytics, Foreign Countries, Cooperation, Stakeholders