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Engelmann, Katharina; Bannert, Maria; Melzner, Nadine – Research and Practice in Technology Enhanced Learning, 2021
Students must engage in self-regulated learning in computer-based learning environments; however, many students experience difficulties in doing so. Therefore, this study aims to investigate self-created metacognitive prompts as a means of supporting students in their learning process and improving their learning performance. We conducted an…
Descriptors: Metacognition, Cues, Learning Processes, Educational Technology
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Cardullo, Victoria; Zygouris-Coe, Vassiliki I.; Wilson, Nance S. – Journal of Research in Reading, 2017
The intent of this research was to investigate the experiences of eighth grade readers as they read nonfiction text on an iPad for academic purposes. We investigated reading strategies that students use to support their reading as well as what role iPad features played in the reading process. New literacies, metacognition and transactional…
Descriptors: Grade 8, Nonfiction, Handheld Devices, Telecommunications
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Jalloul, Farah; EL-Daou, Badrie – World Journal on Educational Technology: Current Issues, 2016
Objective: The study aimed at investigating the effect of scaffolding strategies as thinking out loud and verbalization of instructions strategies on the generalization skills of language-related concepts in mildly intellectual disabled students. Method: Twenty-seven subjects in three treatments were trained in solving a pattern of the Thurston…
Descriptors: Mild Intellectual Disability, Computer Software, Teaching Methods, Educational Technology
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Barden, Owen – Research in Learning Technology, 2014
Dyslexia has an ambivalent relationship with learning technology. Any potential gains may be nullified if the technology is perceived to exacerbate stigma. This paper examines the use of an "everyday" technology, Facebook, by a small group of sixth form students labelled as dyslexic. "Levelling the playing field" is a phrase…
Descriptors: Dyslexia, Technology Uses in Education, Web 2.0 Technologies, Assistive Technology
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Kinnebrew, John S.; Loretz, Kirk M.; Biswas, Gautam – Journal of Educational Data Mining, 2013
Computer-based learning environments can produce a wealth of data on student learning interactions. This paper presents an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs a novel combination of sequence mining techniques to identify deferentially…
Descriptors: Data Analysis, Middle School Students, Information Retrieval, Student Behavior