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Guo, Lin – Reading Psychology, 2023
This study investigated how and how often to present prompts to enhance students' source evaluation and multiple-text comprehension. Participants were 72 undergraduates who read a set of digital texts on a controversial topic of smartphone use and mental health, wrote a justification statement for their selection of trustworthy texts, and answered…
Descriptors: Undergraduate Students, Information Sources, Evaluation Methods, Reading Comprehension
Shaffer, David Williamson; Collier, Wesley; Ruis, A. R. – Journal of Learning Analytics, 2016
This paper provides a tutorial on epistemic network analysis (ENA), a novel method for identifying and quantifying connections among elements in coded data and representing them in dynamic network models. Such models illustrate the structure of connections and measure the strength of association among elements in a network, and they quantify…
Descriptors: Epistemology, Network Analysis, Data Analysis, Coding
Peer reviewedSherry, Annette C. – International Journal of Instructional Media, 1998
This evaluative case study examines the learning experiences of graduate students studying effective multimedia authoring. Continuum-based instructional design, behaviorism, cognitivism, constructivism, collaboration, the role of a matrix, transfer of training, and qualitative and quantitative results are discussed. (LRW)
Descriptors: Authoring Aids (Programming), Behaviorism, Case Studies, Cognitive Processes
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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