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The effects of transformative and non-transformative discourse on individual performance in collaborative-inquiry learning

机译:协作式探究式学习中变革性和非变革性话语对个人绩效的影响

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The effectiveness of computer-supported collaborative inquiry learning in STEM education is well-documented in the literature. At the same time, research indicates that some students struggle to articulate relevant concepts, to make their reasoning explicit, and to regulate their learning-all of which are necessary for effective collaboration. In this study, 106 college students completed tasks related to Ohm's Law in a simulation-based, collaborative-inquiry learning environment. Using qualitative analysis, multilevel modelling, and data-mining techniques, we investigated the relationship between student engagement in transformative and non-transformative learning processes and learning outcomes. The results revealed that by using the appropriate feature engineering and algorithms, we could build accurate machine-learning models that could automatically identify transformative and non-transformative discussions on a large scale. Additional qualitative and quantitative analyses indicated that when groups engaged in additional interpretation and sustained mutual understanding, their members tended to have statistically better individual-learning outcomes. These analyses also indicated that when groups engaged in additional orientation and proposition generation, their learning outcomes were statistically lower. Approximately two-thirds of the students considered their group work helpful in completing inquiry tasks. Explanations of these results and research recommendations are provided.
机译:文献中充分证明了计算机支持的协作式探究学习在STEM教育中的有效性。同时,研究表明,一些学生在努力阐明相关概念,使自己的推理清晰明了,规范自己的学习,而所有这些都是有效合作所必需的。在这项研究中,有106名大学生在基于模拟的协作式学习环境中完成了与欧姆定律有关的任务。使用定性分析,多级建模和数据挖掘技术,我们研究了学生在变革性和非变革性学习过程中的参与程度与学习成果之间的关系。结果表明,通过使用适当的特征工程和算法,我们可以构建准确的机器学习模型,从而可以自动识别大规模的变革性和非变革性讨论。额外的定性和定量分析表明,当小组进行额外的解释和持续的相互理解时,其成员倾向于在统计学上具有更好的个人学习成果。这些分析还表明,当小组进行额外的定向和命题产生时,他们的学习成果在统计学上较低。大约三分之二的学生认为他们的小组工作有助于完成探究任务。提供了这些结果的解释和研究建议。

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