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Direct linkLajoie, Susanne P.; Poitras, Eric G.; Doleck, Tenzin; Huang, Lingyun – Education and Information Technologies, 2023
The present paper builds on the literature that emphasizes the importance of self-regulation for academic learning or self-regulated learning (SRL). SRL research has traditionally focused on count measures of SRL processing events, however, another important measure of SRL is being recognized: time-on-task. The current study captures the influence…
Descriptors: Intelligent Tutoring Systems, Self Management, Time on Task, Correlation
Huang, Lingyun; Doleck, Tenzin; Chen, Boyin; Huang, Xiaoshan; Tan, Chengyi; Lajoie, Susanne P.; Wang, Minhong – Education and Information Technologies, 2023
Teachers' self-regulated learning (SRL) plays a crucial role in developing technological pedagogical content knowledge (TPACK), a complex professional skill. It is crucial to identify teachers' SRL activities that may lead to favorable TPACK. Previous studies have focused on the analysis of individual data sources from self-reported surveys or log…
Descriptors: Learning Analytics, Technological Literacy, Pedagogical Content Knowledge, Independent Study
Lemay, David John; Basnet, Ram B.; Doleck, Tenzin – Education and Information Technologies, 2022
Open-source software movement presents a viable alternative to commercial operating systems. Linux-based operating systems are freely available and a competitive option for computer users who want full control of their computer software. Thus, it is relevant to inquire on how the open-source movement might influence user technology switching…
Descriptors: Open Source Technology, Computer Software, Intention, Influences
Basnet, Ram B.; Johnson, Clayton; Doleck, Tenzin – Education and Information Technologies, 2022
The nature of teaching and learning has evolved over the years, especially as technology has evolved. Innovative application of educational analytics has gained momentum. Indeed, predictive analytics have become increasingly salient in education. Considering the prevalence of learner-system interaction data and the potential value of such data, it…
Descriptors: Prediction, Dropouts, Predictive Measurement, Data Collection
Lemay, David John; Doleck, Tenzin – Education and Information Technologies, 2020
Massive open online courses (MOOCs) hold the promise of democratizing the learning process. However, providing effective feedback has proven hard to offer at scale since most methods require a teacher or tutor. Leveraging big data in MOOCs offers a mechanism to develop predictive models that can inform computer-based pedagogical tutors. We review…
Descriptors: Grades (Scholastic), Prediction, Online Courses, Video Technology
Doleck, Tenzin; Lemay, David John; Basnet, Ram B.; Bazelais, Paul – Education and Information Technologies, 2020
Large swaths of data are readily available in various fields, and education is no exception. In tandem, the impetus to derive meaningful insights from data gains urgency. Recent advances in deep learning, particularly in the area of voice and image recognition and so-called complete knowledge games like chess, go, and StarCraft, have resulted in a…
Descriptors: Learning Analytics, Prediction, Information Retrieval, Accuracy
Lemay, David John; Bazelais, Paul; Doleck, Tenzin – Education and Information Technologies, 2020
Previous research has produced contrasting findings regarding the influence of social networking on academic performance. Many have found negative relationships but some have also demonstrated a positive effect for social networking on academic performance. Still others report no links between social networking and academic performance.…
Descriptors: Social Networks, Academic Achievement, Correlation, College Students
