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  • 标题:Observation of Metacognitive Skills in Natural Environments: A Longitudinal Study With Mixed Methods
  • 本地全文:下载
  • 作者:Sáiz Manzanares, María Consuelo ; Queiruga Dios, Miguel Ángel ; García-Osorio, César Ignacio
  • 期刊名称:Frontiers in Psychology
  • 电子版ISSN:1664-1078
  • 出版年度:2019
  • 卷号:10
  • 页码:1-13
  • DOI:10.3389/fpsyg.2019.02398
  • 出版社:Frontiers Media
  • 摘要:Recent studies pointing to evaluation methods in natural environments suggest that their use in the analysis of metacognitive strategies provides more precise information than the use of off-line evaluation methods. In this research, mixed methods are used over one academic year for the evaluation of the metacognitive strategies that students of Secondary Education apply to solve physics problems. The objectives of this study are to analyze the use of metacognitive strategies in natural environments and to study behavioral patterns of student learning through a longitudinal study. A total of 509 recordings of think-aloud protocols are analyzed through the categorization of the responses (liquefying) and the protocol of Van der Stel and Veenman for the analysis of the quality of metacognitive strategies. Fewer conceptual errors and less uncertainty over vocabulary were noted during the academic year. Nevertheless, a degree of ambiguity persisted in the understanding of physics concepts. The metacognitive strategies of Orientation and Planning were used more than any others. The technique of graph analysis is also applied, to establish the patterns of behavior of each student throughout the academic year. Different patterns were found, the analysis of which helped to identify academically challenged and at-risk students. The use of mixed observation techniques and graph analysis facilitated information on the pace of learning of each student. Future studies will be directed at proposals for the automation of these evaluation techniques in natural learning environments.
  • 关键词:Metacognitive skills; quality; on-line evaluation methods; mixed methods; Indirect observation; systematic observation; personalized learning; Natural Environments
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