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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
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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
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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
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Lemay, David John; Basnet, Ram B.; Doleck, Tenzin; Bazelais, Paul – Education and Information Technologies, 2019
Social network analysis can provide insight into the educational research community as it manifests and evolves online. This study presents a social network analysis of Twitter use during the American Educational Research Association 2017 Annual Conference. The overall social network is sparse with low density, with a few very active nodes and…
Descriptors: Social Media, Social Networks, Network Analysis, Telecommunications
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Bazelais, Paul; Doleck, Tenzin; Lemay, David John – Education and Information Technologies, 2018
The purpose of this research is to investigate pre-university science "Collège d'enseignement général et professionnel" (CEGEP) students' behavioral intentions towards using online learning technologies. Heretofore, CEGEP students' use of technology has received scant attention, yet online learning technologies are found to play an…
Descriptors: Student Attitudes, Computer Attitudes, Educational Technology, Web Based Instruction
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Basnet, Ram B.; Doleck, Tenzin; Lemay, David John; Bazelais, Paul – Education and Information Technologies, 2018
Teaching programming concepts to enhance students' problem solving and computational thinking skills is a challenging task, especially when students enter college with little to no preparation, or they lack the interest or capacity for programming. Online platforms that serve as automated practice and assessment systems have been offered as…
Descriptors: Computer Science Education, Programming, Homework, Student Projects
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Doleck, Tenzin; Bazelais, Paul; Lemay, David John – Education and Information Technologies, 2017
As the use of technology in education advances and broadens, empirical research around its use assumes increased importance. Yet literature investigating technology acceptance in certain populations remains scarce. We recently argued that technology acceptance investigations should also consider the modality of the antecedent belief, to…
Descriptors: Technology Uses in Education, Computer Assisted Instruction, Electronic Learning, Student Attitudes
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Doleck, Tenzin; Bazelais, Paul; Lemay, David John – Education and Information Technologies, 2017
Investigations in technology acceptance in education has largely overlooked certain unique populations like students from the "Collège d'enseignement général et professionnel" (CEGEP) system. In studies examining CEGEP students' use of technology, the Technology Acceptance Model (TAM) perspective has not been taken into account, nor have…
Descriptors: Social Networks, Guidelines, Student Attitudes, Role