Trends and research outcomes of technology-based interventions for complex thinking development in higher education: A review of scientific publications
Azeneth Patiño, M. Ramírez-Montoya, Gerardo Ibarra-Vázquez
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引用次数: 0
Abstract
Complex thinking is a desired competency in 21st-century university students, so technology-based teaching and learning strategies must be carefully considered when training them in complex reasoning skills. This systematic review aims to map research on the use of teaching and learning strategies supported by technology to enhance complex thinking skills in university students. This review reports results according to PRISMA (preferred reporting items for systematic reviews and meta-analyses) guidelines. The search strategy was performed in June 2022 in Scopus and Web of Science databases. Of 151 records initially identified between 2018 and 2022, 32 papers were included in the final synthesis per the inclusion and exclusion criteria. The results of this review indicate that (1) tech-based strategies for complex thinking development are based on active learning approaches including problem-based learning, case-based learning, collaboration-driven and discussion-based learning, project-based learning, assessment- and feedback-oriented activities, and mind mapping techniques; (2) most of the documented strategies were implemented in hybrid contexts; (3) traditional instructional materials commonly used for promoting higher order thinking skills such as reading assignments, videos, and eliciting/reflexive questions are still effective in fostering complex thinking when delivered through technology; and (4) custom-built technological development for complex thinking development software that incorporates emerging technologies is scarce at present. Further research is needed to document the interventions that train students interactively in complex thinking skills using Education 4.0 technologies.
复杂思维是21世纪大学生所需要的能力,因此在训练他们复杂推理技能时,必须仔细考虑基于技术的教学和学习策略。本研究旨在探讨科技支持下的教学策略在提高大学生复杂思维能力方面的应用。本综述根据PRISMA(系统评价和荟萃分析的首选报告项目)指南报告结果。该搜索策略于2022年6月在Scopus和Web of Science数据库中执行。在2018年至2022年期间最初确定的151条记录中,根据纳入和排除标准,32篇论文被纳入最终综合。研究结果表明:(1)基于技术的复杂思维发展策略基于主动学习方法,包括基于问题的学习、基于案例的学习、基于协作和讨论的学习、基于项目的学习、基于评估和反馈的活动以及思维导图技术;(2)大多数记录的策略都是在混合环境中实施的;(3)通常用于促进高阶思维技能的传统教学材料,如阅读作业、视频和引出/反思性问题,在通过技术传递时仍然有效地培养复杂思维;(4)目前针对融合新兴技术的复杂思维开发软件的定制化技术开发较少。需要进一步的研究来记录使用教育4.0技术交互式地训练学生复杂思维技能的干预措施。