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Ozturk, Tugba H.; Hodgson, Vivien – British Journal of Educational Technology, 2017
In this paper, we argue that in order to get a fuller understanding of the complexity of conflict in democratic pedagogies in online and blended learning settings, it is important to know not only how to manage or resolve it, but also how it is triggered and can be avoided. The emancipatory nature of democratic pedagogies fosters differences, and…
Descriptors: Conflict, Computer Simulation, Instructional Design, Teaching Methods
Wang, Tzu-Hua; Chiu, Mei-Hung; Lin, Jing-Wen; Chou, Chin-Cheng – British Journal of Educational Technology, 2013
Mental models play an important role in science education research. To extend the effectiveness of conceptual change research and to improve mental model identi?cation and diagnosis, the authors developed and tested the Web-Based Mental Models Diagnosis (WMMD) system. In this article, they describe their WMMD system, which goes beyond the…
Descriptors: Educational Technology, Science Instruction, Models, Foreign Countries
Kiili, Kristian – British Journal of Educational Technology, 2007
Educational games may offer a viable strategy for developing students' problem-solving skills. However, the state of art of educational game research does not provide an account for that. Thus, the aim of this research is to develop an empirically allocated model about problem-based gaming that can be utilised to design pedagogically meaningful…
Descriptors: Experiential Learning, Educational Games, Problem Solving, Models

Khan, Tariq M.; Brown, Keith – British Journal of Educational Technology, 2000
Addresses areas of situated knowledge (metacognitive skills and affective skills) that have been ignored in intelligent computer-aided learning systems. Focuses on model-based reasoning, including contextualized and decontextualized knowledge, and examines an instructional method that supports situated knowledge by providing opportunities for…
Descriptors: Affective Behavior, Computer Assisted Instruction, Knowledge Representation, Learning Strategies