Cognitive Engagement in Online Learning Environments: A Systematic Review and Future Research.

Background: The growing prominence of online learning in educational contexts has underscored the critical role of cognitive engagement in shaping academic performance. Objectives: To synthesise current research trajectories, this study conducted a systematic literature review spanning two decades o...

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Publicado en:Journal of Computer Assisted Learning Vol. 42; no. 3; pp. 1 - 24
Autores principales: Shi, Yafei, Dong, Qianqian, Wei, Yantao, Zhu, Ke
Formato: research systematic review tables/charts Journal Article
Publicado: Wiley-Blackwell Jun2026
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2026
      vid: 42
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        194050884
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        10.1002/jcal.70240
        194050884
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        atl: Cognitive Engagement in Online Learning Environments: A Systematic Review and Future Research.
      aug:
        au:
          Shi, Yafei
          Dong, Qianqian
          Wei, Yantao
          Zhu, Ke
        affil: Faculty of Education, Henan Normal University, Xinxiang, China
      sug:
        subj:
          Cognition
          Learning Methods
          Online Education
          Learning Environment
          Student Attitudes
          Human
          Funding Source
          Systematic Review
          ERIC Database
          Psycinfo
          Educational Technology
          Students, College
          Motivation
          Self Regulation
          Attention
          Social Learning Theory
          Educational Measurement
          Self Report
          Computer-Assisted Instruction
          Education, Non-Traditional
      ab: Background: The growing prominence of online learning in educational contexts has underscored the critical role of cognitive engagement in shaping academic performance. Objectives: To synthesise current research trajectories, this study conducted a systematic literature review spanning two decades on cognitive engagement within online learning contexts. Methods: A structured framework encompassing research backgrounds, theoretical foundations, analytical methods, and existing challenges was employed to code and analyse the 98 retrieved literature. Results and Conclusions: The findings indicated that the majority of studies concentrated on examining the impact of educational technology tools and a range of associated influencing factors on cognitive engagement. A notable absence of research examining cognitive engagement in online learning among primary and secondary education students was observed. The majority of existing studies focused on college students. Moreover, cognitive engagement was a complex academic concept researchers attempted to interpret from different perspectives, including motivation and self‐regulation, psychological engagement, learning strategies, Taxonomy of educational objectives, knowledge construction, and overt behaviours. Self‐determination theory, ICAP framework, and community of inquiry were the most frequently adopted in research on cognitive engagement. The self‐report scale was the most frequently employed method for data collection. The multimodal data illustrated significant potential and promise in predicting learners' cognitive engagement in online learning environments. This would enable a comprehensive analysis of students' cognitive engagement patterns and evolutionary characteristics. Practitioner Notes: What is already known about this topic ○Online cognitive engagement has gained increasing attention in educational research.○The definition of online cognitive engagement remains unclear and elusive.○Little research is devoted to synthesising the research progress of online cognitive engagement.What this paper adds ○This study systematically explored research background, theoretical frameworks, and methodological aspects in the domain of online cognitive engagement.○A unified framework was adopted to conduct this systematic review.Implications for practice and/or policy ○Theoretical and technological innovations are necessary to advance the examination of online cognitive engagement.○Multimodal data analysis may facilitate understanding of online cognitive engagement patterns and evolutionary characteristics.
      pubtype: Academic Journal
      doctype:
        research
        systematic review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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