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Jiménez-Castillo, David; Sánchez-Fernández, Raquel; Marín-Carrillo, Gema M. – Innovations in Education and Teaching International, 2017
This study explores the effectiveness of the sequential use of lectures and video podcasting in higher education. Drawing together several theories, this paper examines the influence of student's perceived prior knowledge gained from lectures and technology acceptance model-related variables on student's self-reported assimilation of new material…
Descriptors: Higher Education, Technology Uses in Education, Teaching Methods, Multimedia Materials
Braten, Ivar; Stromso, Helge I. – Metacognition and Learning, 2011
This study explored the dimensionality of multiple-text comprehension strategies in a sample of 216 Norwegian education undergraduates who read seven separate texts on a science topic and immediately afterwards responded to a self-report inventory focusing on strategic multiple-text processing in that specific task context. Two dimensions were…
Descriptors: Foreign Countries, Reading Comprehension, Science Materials, Reading Strategies
Imhof, Margarete; Spaeth-Hilbert, Tatjana – International Journal of Higher Education, 2013
Based on a cognitive motivational process model of learning, the impact of studying behavior on learning outcome is investigated. First-year students (N = 488) participated in the study. Two research questions were addressed: (1) Can cognitive-motivational variables and objective study behavior predict individual learning? (2) Which factors drive…
Descriptors: Student Motivation, Role, Self Concept, At Risk Students
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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