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Download full textPytlarz, Ian; Pu, Shi; Patel, Monal; Prabhu, Rajini – International Educational Data Mining Society, 2018
Identifying at-risk students at an early stage is a challenging task for colleges and universities. In this paper, we use students' oncampus network traffic volume to construct several useful features in predicting their first semester GPA. In particular, we build proxies for their attendance, class engagement, and out-of-class study hours based…
Descriptors: College Freshmen, Grade Point Average, At Risk Students, Academic Achievement
Direct linkEvenhouse, David; Patel, Nimit; Gerschutz, Maria; Stites, Nick A.; Rhoads, Jeffrey F.; Berger, Edward; DeBoer, Jennifer – European Journal of Engineering Education, 2018
Engineering education has been slow to adopt research-based educational innovations. Few prior works on such adoption have investigated the combined classroom experiences of instructors and students when such innovations are being implemented. Therefore, this work focuses on the lived experiences of an instructor and her students when adopting an…
Descriptors: Educational Change, Undergraduate Students, Engineering Education, College Faculty
Short, Nathan; Best, Sara; Bhowmick, Ankan; Brenner, Danielle; Cundall, Corey; Farmer, Melissa; Patel, Monal; Ross, Mitchell – Journal of Occupational Therapy, Schools & Early Intervention, 2018
Use of iPad technology in the classroom may facilitate learning, engagement, motivation, and interest (Crescenzi, Jewitt, & Price, 2014). The Dexteria™ iPad application was implemented into first grade curriculum using a nonequivalent control group design to explore impact on visual-motor integration (VMI) skills using the Beery-Buktenica…
Descriptors: Perceptual Motor Coordination, Computer Uses in Education, Handheld Devices, Grade 1
