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Sandberg, J. A. C.; Wielinga, B. J.; Christoph, L. H. – Computers & Education, 2012
The main research question in this article concerns the added value of a prescriptive model in a simulation/gaming environment: KM Quest. KM Quest is meant to support students in the acquisition of both declarative and procedural knowledge in the domain of Knowledge Management (KM). The prescriptive model (KM model) embedded in the KM Quest…
Descriptors: Knowledge Management, Metacognition, Learning, Experiments
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Buda, Rodolphe – Computers & Education, 2009
This paper presents an empirical micro-simulation model of the teaching and the testing process in the classroom (Programs and sample data are available--the actual names of pupils have been hidden). It is a non-econometric micro-simulation model describing informational behaviors of the pupils, based on the observation of the pupils'…
Descriptors: Testing, Students, Computer Simulation, Models
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Romero-Zaldivar, Vicente-Arturo; Pardo, Abelardo; Burgos, Daniel; Delgado Kloos, Carlos – Computers & Education, 2012
The interactions that students have with each other, with the instructors, and with educational resources are valuable indicators of the effectiveness of a learning experience. The increasing use of information and communication technology allows these interactions to be recorded so that analytic or mining techniques are used to gain a deeper…
Descriptors: Academic Achievement, Prediction, Learning Experience, Data
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Chow, Meyrick; Herold, David Kurt; Choo, Tat-Ming; Chan, Kitty – Computers & Education, 2012
Learners need to have good reasons to engage and accept e-learning. They need to understand that unless they do, the outcomes will be less favourable. The technology acceptance model (TAM) is the most widely recognized model addressing why users accept or reject technology. This study describes the development and evaluation of a virtual…
Descriptors: Self Efficacy, Nursing Students, Intention, Electronic Learning
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Lee, Chwee Beng – Computers & Education, 2010
This study examines the interactions between problem solving and conceptual change in an elementary science class where students build system dynamic models as a form of problem representations. Through mostly qualitative findings, we illustrate the interplay of three emerging intervening conditions (epistemological belief, structural knowledge…
Descriptors: Elementary School Science, Learning Strategies, Problem Solving, Systems Approach
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Thompson, Kate; Reimann, Peter – Computers & Education, 2010
A classification system that was developed for the use of agent-based models was applied to strategies used by school-aged students to interrogate an agent-based model and a system dynamics model. These were compared, and relationships between learning outcomes and the strategies used were also analysed. It was found that the classification system…
Descriptors: Prior Learning, Classification, Comparative Analysis, Models
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Veletsianos, George – Computers & Education, 2010
Humans draw on their stereotypic beliefs to make assumptions about others. Even though prior research has shown that individuals respond socially to media, there is little evidence with regards to learners stereotyping and categorizing pedagogical agents. This study investigated whether learners stereotype a pedagogical agent as being…
Descriptors: Computer Assisted Instruction, Artists, Scientists, Context Effect
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Komis, Vassilis; Ergazaki, Marida; Zogza, Vassiliki – Computers & Education, 2007
This study aims at highlighting the collaborative activity of two high school students (age 14) in the cases of modeling the complex biological process of plant growth with two different tools: the "paper & pencil" concept mapping technique and the computer-supported educational environment "ModelsCreator". Students' shared activity in both cases…
Descriptors: Plants (Botany), Concept Mapping, Models, High Schools