Assessing Teaching Effectiveness in Journalism and Communication: A Data-Driven Perspective Using HyperSoft Set
Keywords:
HyperSoft Set; Teaching Effectiveness; Journalism and Communication; Multi-Criteria Analysis.Abstract
Teaching effectiveness in Journalism and Communication plays a vital role in preparing
students for the rapidly evolving media landscape. Traditional lecture-based approaches are
increasingly being replaced by interactive, technology-enhanced teaching methods that foster
greater student engagement and better align with industry demands. This study evaluates
teaching effectiveness through a data-driven approach, utilizing Multi-Criteria Decision-Making
(MCDM) methodologies integrated with the HyperSoft set to handle the uncertainty and
variability of decision criteria. Key factors assessed include content relevance, technological
integration, practical skill development, student engagement, and faculty expertise. The research
highlights the importance of industry collaboration, experiential learning, and ethical instruction
in developing competent media professionals. To ensure comprehensive evaluation, the study
employs the SIWEC method to assign weights to the criteria and the PROMETHEE method to
rank the teaching alternatives. A total of nine criteria and ten alternatives are analyzed,
demonstrating the robustness and applicability of the proposed HyperSoft set-based model.
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