The development and validation of the student response system benefit scale.

Previous research into the benefits student response systems (SRS) that have been brought into the classroom revealed that SRS can contribute positively to student experiences. However, while the benefits of SRS have been conceptualized and operationalized into a widely cited scale, the validity of...

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Publicado en:Journal of Computer Assisted Learning Vol. 32; no. 2; pp. 120 - 128
Autores principales: Hooker, J.F., Denker, K.J., Summers, M.E., Parker, M.
Formato: research tables/charts Journal Article
Publicado: Wiley-Blackwell Apr2016
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2016
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      pub: Wiley-Blackwell
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        atl: The development and validation of the student response system benefit scale.
      aug:
        au:
          Hooker, J.F.
          Denker, K.J.
          Summers, M.E.
          Parker, M.
        affil: Illinois State University, USA
      sug:
        subj:
          Computer-Assisted Instruction
          Student Attitudes Evaluation
          Feedback Methods
          Human
          Instrument Construction
          Instrument Validation
          Data Analysis, Statistical
          Reliability
          Midwestern United States
          Students, Undergraduate
          Male
          Female
          Chi Square Test
          Coefficient alpha
          Descriptive Statistics
          Data Analysis Software
          Exploratory Research
          Goodness of Fit Chi Square Test
          Male
          Female
      ab: Previous research into the benefits student response systems (SRS) that have been brought into the classroom revealed that SRS can contribute positively to student experiences. However, while the benefits of SRS have been conceptualized and operationalized into a widely cited scale, the validity of this scale had not been tested. Furthermore, subsequent research found the scale to be unreliable. Therefore, this project used two studies and created a reliable and valid SRS benefit scale. First, iterative exploratory factor analysis (EFA) was conducted to determine whether the stated conceptual definitions matched the operational definitions reflected in student responses to survey items. The results of this statistical analysis showed an 8-item, two-factor scale demonstrating the benefits of SRS in the large lecture classroom. Study 2 used a new sample for confirmatory factor analysis that confirmed the results of the EFA suggested a good model fit with excellent scale reliability. Implications for future assessment of the benefits of SRS were discussed.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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