Linguistic characteristics of reflective states in video annotations under different instructional conditions.

Video-based self-reflection and annotation is receiving increasing attention within the education literature. The importance of such technologies in education relate, in part, to the interactive nature and functionality these tools bring to aid learning engagement. In particular, these tools are wel...

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Publicado en:Computers in Human Behavior Vol. 96; pp. 211 - 223
Autores principales: Joksimović, Srećko, Dowell, Nia, Gašević, Dragan, Mirriahi, Negin, Dawson, Shane, Graesser, Arthur C.
Formato: Artículo
Publicado: Elsevier B.V. Jul2019
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2019
      vid: 96
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      pub: Elsevier B.V.
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        10.1016/j.chb.2018.03.003
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        atl: Linguistic characteristics of reflective states in video annotations under different instructional conditions.
      aug:
        au:
          Joksimović, Srećko
          Dowell, Nia
          Gašević, Dragan
          Mirriahi, Negin
          Dawson, Shane
          Graesser, Arthur C.
        affil:
          University of South Australia, 101 Currie St, Adelaide, SA, 5001, Australia
          University of Michigan, 500 S State Street, Ann Arbor, MI 48109, USA
          Monash University, Scenic Boulevard, Clayton, VIC, 3800, Australia
          University of Memphis, 3720 Alumni Ave, Memphis, TN 38152, USA
      su:
        Achievement tests
        Cognition
        Discourse analysis
        Educational technology
        Language & languages
        Linguistics
        Motor ability
        Teaching methods
        Psychology of Undergraduates
        Grounded theory
        Learning strategies
        Reflection (Philosophy)
        Hypermedia
      sug:
        subj:
          Achievement tests
          Cognition
          Discourse analysis
          Educational technology
          Language & languages
          Linguistics
          Motor ability
          Teaching methods
          Psychology of Undergraduates
          Grounded theory
          Learning strategies
          Reflection (Philosophy)
          Hypermedia
      keyword:
        CLAS
        Linguistic analysis
        Meta-cognitive skills
        Self-reflection
        Video annotation
        Video-based self-reflection
        CLAS
        Linguistic analysis
        Meta-cognitive skills
        Self-reflection
        Video annotation
        Video-based self-reflection
      ab: Video-based self-reflection and annotation is receiving increasing attention within the education literature. The importance of such technologies in education relate, in part, to the interactive nature and functionality these tools bring to aid learning engagement. In particular, these tools are well aligned with the need to promote and develop student meta-cognitive skills through the use of self-reflection activities. However, in the context of video-based learning environments, the nature of a students' self-reflective process is not well understood. We attempt to address this gap in the literature in two main ways. First, we developed a coding instrument to assess the depth of a students' self-reflection captured through the use of a video annotation tool. We then explored the linguistic and discourse properties of the student self-reflections using Coh-Metrix, a theoretically grounded computational linguistics facility. The adopted approach applies comprehensive analysis of language and discourse features associated with the specificity of students' internal self-feedback , which is externalized as self-reflections in video annotations. The results suggest that levels of self-reflection have characteristically different linguistic properties, and these differences align with the underlying cognitive mechanisms associated with distinct reflective activities. The paper provides a detailed discussion of the findings in the context of the theoretical, methodological, and practical implications associated with video-based self-reflection and video annotation. • Self-reflection and annotation are important strategies in video-based learning. • We develop a coding instrument to assess the depth of a students' self-reflection. • We explore the linguistic and discourse properties of the student self-reflections. • The levels of self-reflection have consistently different linguistic properties. • The findings also highlight the importance of effective learning design.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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