Assessing Teaching Effectiveness in Journalism and Communication: A Data-Driven Perspective Using HyperSoft Set
Year: 2025
Type: article
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.
Author: Xiaoxi Zhang
Language: English
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6949239332
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