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Cognitive Learning01:21

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
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SentiTAM: Sentiments centered integrated framework for mobile learning adaptability in higher education.

Atika Qazi1, Najmul Hasan2, Christopher M Owusu-Ansah3,4

  • 1Centre for Lifelong Learning, Universiti Brunei Darussalam, Brunei Darussalam.

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Students

Keywords:
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Area of Science:

  • Educational Technology
  • Human-Computer Interaction
  • Social Computing

Background:

  • Higher education institutions (HEIs) increasingly value student sentiment for mobile learning application (MLA) adaptation.
  • Limited understanding exists regarding the underutilization of MLA despite extensive digital learning research.
  • Online communities are key platforms for public opinion and sentiment sharing on diverse topics.

Purpose of the Study:

  • To propose the SentiTAM model, integrating the Technology Acceptance Model (TAM) with student sentiments for MLA.
  • To investigate factors influencing the adoption and utilization of mobile learning applications among students.
  • To analyze the impact of user sentiments and motivational factors on MLA acceptance.

Main Methods:

  • A cross-sectional survey of 350 MLA users was conducted.
  • Structural Equation Modeling (SEM) using AMOS analyzed survey data.
  • Sentiment analysis was performed on student opinions from Google discussion forums and Twitter.

Main Results:

  • Student sentiment and self-motivation strongly influence MLA use intention.
  • Perceived usefulness and perceived ease of use directly impact MLA usage.
  • The SentiTAM model provides a novel framework for understanding MLA adoption.

Conclusions:

  • Sentiments and motivational factors are critical drivers for MLA adoption, alongside core TAM constructs.
  • This study is the first to investigate sentiments and motivational factors within TAM for MLA.
  • Findings offer insights for developing countries to strategically implement MLA and emerging technologies.