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Lin, Mike Tz-Yauw; Wang, Jau-Shyong; Kuo, Hui-Ming; Luo, Yuzhou – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Applying education ideas and concepts to education sites, through good educational policies, to complete education tasks is important for developing personal potential. Centered on students, educational objective is to cultivate multiple talents for the future society. In such a rapidly changing era, limited knowledge is not enough to cope with…
Descriptors: Computer Simulation, Creativity, Student Leadership, Instructional Effectiveness
Dalgarno, Barney; Kennedy, Gregor; Bennett, Sue – Educational Media International, 2014
Discovery-based learning designs incorporating active exploration are common within instructional software. However, researchers have highlighted empirical evidence showing that "pure" discovery learning is of limited value and strategies which reduce complexity and provide guidance to learners are important if potential learning…
Descriptors: Discovery Learning, Learning Strategies, Inquiry, Computer Simulation
Bumbacher, Engin; Salehi, Shima; Wierzchula, Miriam; Blikstein, Paulo – International Educational Data Mining Society, 2015
Studies comparing virtual and physical manipulative environments (VME and PME) in inquiry-based science learning have mostly focused on students' learning outcomes but not on the actual processes they engage in during the learning activities. In this paper, we examined experimentation strategies in an inquiry activity and their relation to…
Descriptors: Physics, Science Instruction, College Students, Predictor Variables
Ting, Choo-Yee; Phon-Amnuaisuk, Somnuk; Chong, Yen-Kuan – Educational Technology & Society, 2008
This article aims at discussing how Dynamic Decision Network (DDN) can be employed to tackle the challenges in modeling temporally variable scientific inquiry skills and provision of adaptive pedagogical interventions in INQPRO, a scientific inquiry exploratory learning environment for learning O'level Physics. We begin with an overview of INQPRO…
Descriptors: Discovery Learning, Educational Environment, Science Instruction, Inquiry
Rieber, Lloyd P.; Tzeng, Shyh-Chii; Tribble, Kelly – Learning and Instruction, 2004
The purpose of this research was to explore how adult users interact and learn during an interactive computer-based simulation supplemented with brief multimedia explanations of the content. A total of 52 college students interacted with a computer-based simulation of Newton's laws of motion in which they had control over the motion of a simple…
Descriptors: Discovery Learning, Computer Simulation, Multimedia Instruction, College Students
Peer reviewedHillis, David R. – Journal of Industrial Teacher Education, 1994
Computer simulation with artificial intelligence and discovery learning was used by 31 industrial technology students. Compared to 27 controls, simulation enabled students to recognize applications of new technology and the knowledge and skills needed. No differences appeared in field dependence/independence, so recognition was not a function of…
Descriptors: Artificial Intelligence, College Students, Computer Simulation, Discovery Learning
Njoo, Melanie; de Jong, Ton – 1991
This paper contains the results of a study on the importance of discovery learning using computer simulations. The purpose of the study was to identify what constitutes discovery learning and to assess the effects of instructional support measures. College students were observed working with an assignment and a computer simulation in the domain of…
Descriptors: College Students, Computer Assisted Instruction, Computer Simulation, Discovery Learning
Swaak, Janine; And Others – 1996
In this study, learners worked with a simulation of harmonic oscillation. Two supportive measures were introduced: model progression and assignments. In model progression, the model underlying the simulation is not offered in its full complexity from the start, but variables are gradually introduced. Assignments are small exercises that help the…
Descriptors: Achievement Gains, Assignments, College Students, Computer Simulation
Peer reviewedLeutner, Detlev – Learning and Instruction, 1993
System-initiated adaptive advice and learner-requested nonadaptive background information were investigated in computer simulation game experiments with 64 seventh graders, 38 college students, and 80 seventh and eighth graders in Germany. Results are discussed in terms of theories of problem solving, intelligence, memory, and information…
Descriptors: Background, Cognitive Processes, College Students, Computer Assisted Instruction
Peer reviewedElshout, Jan J.; Veenman, Marcel V. J. – Journal of Educational Research, 1992
The relationship between intellectual ability, working method, and learning was investigated with simulations in both structured and unstructured learning environments. High- and low-intelligence college students' thinking-aloud protocols were analyzed on quality of working method. Results indicated that both intellectual ability and working…
Descriptors: Cognitive Ability, Cognitive Style, College Students, Computer Simulation
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers

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