Learning from erroneous models using SCYDynamics
作者： Yvonne G. Mulder , Ton de Jong , Lars Bollen
DOI:
关键词: Science education 、 Domain knowledge 、 Learning effect 、 Learning environment 、 Artificial intelligence 、 Machine learning 、 Model based learning 、 Model testing 、 Engineering
摘要: Dynamic phenomena are common in science education. Students can learn about such system dynamic processes through model based learning activities. This paper describes a study on the effects of from erroneous models approach using environment SCYDynamics. The compared three conditions. Two experimental conditions where students had to correct errors were contrasted working with model. differed whether or not detect before correcting them. Results indicate that this enhanced students’ testing and revising Furthermore was found have beneficial effect errors. Contrary expectations showed no domain knowledge acquisition. discussion further elaborates improvements might enhance
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