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Danielle S. McNamara; Tracy Arner; Elizabeth Reilley; Paul Alvarado; Chani Clark; Thomas Fikes; Annie Hale; Betheny Weigele – Grantee Submission, 2022
Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…
Descriptors: Electronic Learning, Educational Technology, Networks, Learning Analytics
Guerrero, Tricia Ann; Griffin, Thomas D.; Wiley, Jennifer – Grantee Submission, 2020
Past work has shown that generating explanations can improve both comprehension and metacomprehension outcomes. Although practice testing may sometimes improve comprehension, it is unclear if it affects metacomprehension (the ability to monitor one's understanding). The current study tested whether online homework activities involving practice…
Descriptors: College Students, Comprehension, Metacognition, Testing
Rebecca A. Dore; Jennifer M. Zosh; Kathy Hirsh-Pasek; Roberta M. Golinkoff – Grantee Submission, 2017
Digital media and electronic toys are changing the landscape of childhood. How does this change impact language learning? In this chapter, we explore potential alignment between six established principles of language and children's engagement with digital media and electronic toys. We argue that electronic toys and digital media are not solely…
Descriptors: Vocabulary Development, Electronic Learning, Toys, Information Technology
Heffernan, Neil T.; Ostrow, Korinn S.; Kelly, Kim; Selent, Douglas; Van Inwegen, Eric G.; Xiong, Xiaolu; Williams, Joseph Jay – Grantee Submission, 2016
Due to substantial scientific and practical progress, learning technologies can effectively adapt to the characteristics and needs of students. This article considers how learning technologies can adapt over time by crowdsourcing contributions from teachers and students -- explanations, feedback, and other pedagogical interactions. Considering the…
Descriptors: Artificial Intelligence, Educational Technology, Student Needs, Electronic Publishing