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de Jager, T. – Africa Education Review, 2013
The purpose of this study was to ascertain the influence of an extrinsic motivational tool, "class-bucks," on the possibility of improving first year student-teachers' participation in active learning at Tshwane University of Technology in South Africa. Research participants (n=289) were divided into four classes and engaged in this…
Descriptors: Foreign Countries, Student Motivation, Student Participation, Lecture Method
Shariff, Sya Azmeela Binti – ProQuest LLC, 2012
Promoting active learning among students may result in greater learning and more positive attitudes in university-level large lecture classes. One way of promoting active learning in large lecture classes is via the use of a think-pair-share instructional strategy, which combines student participation in class discussions via clicker technology…
Descriptors: Incentives, Student Attitudes, Lecture Method, Instructional Design
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Tlhoaele, Malefyane; Hofman, Adriaan; Naidoo, Ari; Winnips, Koos – Innovations in Education and Teaching International, 2014
What impact can interactive engagement (IE) activities using clickers have on students' motivation and academic performance during lectures as compared to attending traditional types of lectures? This article positions the research on IE within the comprehensive model of educational effectiveness and Gagné's instructional events model. For the…
Descriptors: Educational Technology, Audience Response Systems, Student Motivation, Interaction
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