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All Journal Online Learning in Educational Research
Alam, Md. Saiful
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Education

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Confronting Professional and Cultural Barriers to Evidence-Based Teaching in University English Departments: An Auto-Ethnographic Study Alam, Md. Saiful; Asmawi, Adelina; Haque, Mohammad Hamidul
Online Learning In Educational Research (OLER) Vol 4, No 2 (2024): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v4i2.404

Abstract

education, yet their integration in higher education remains underexplored, with most studies focusing on schools. This study aims to identify cultural and professional barriers hindering EBTP adoption among university lecturers through an autoethnographic approach. Using Flanagan's Critical Incident Technique (CIT) and personal journaling, longitudinal qualitative data were collected and analyzed within an interpretive framework. The findings reveal that deeply ingrained cultural capital and traditional professional practices significantly obstruct the adoption of EBTP, highlighting resistance to pedagogical innovation, peer learning, and student-centered teaching. These barriers emphasize the need for institutional reforms, professional development initiatives, and a cultural shift to foster evidence-based practices in higher education, contributing to bridging the gap between research and practice in pedagogy.
GPT Search for Revolutionizing Research for Early-Career Education Scholars: A Mediation and Multi-Modality Perspective Alam, Md. Saiful; Ohidujjaman, A H M
Online Learning In Educational Research (OLER) Vol 5, No 1 (2025): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v5i1.466

Abstract

In the domain of academic research, the ongoing discourse centers around the intersection between the integration of artificial intelligence (AI) and some critical phenomena including early-career researchers’ challenges, the co-evolution of AI and research methodologies, continuous innovation, reorientation, and multi-modal advancement of various AI tools. Against this backdrop, Open AI’s GPT Search has just emerged as a versatility step towards its Chat GPT 4.0. The present perspective paper explores how this novel search engine can make broader paradigm shifts in traditional research approaches in literature search, data analysis, and writing discussions. Grounded in the authors’ scholarship, subjective insights (authorial experimental observations), critical appraisal of the extant literature, and experiential engagement, this paper perspectivizes that with its mediation and multi-modality functioning GPT Search promises to support conducting literature searches that are uniquely helpful for semantic relevance, large search syntaxes, and aggregated and index-specific results from multi-databases in one single search command. Additionally, GPT Search can also transform early-career researchers’ labor-intensive manual data analysis into automatic but more efficient qualitative data analysis. Furthermore, this search engine offers a reverse approach to writing discussions for articles and theses. The paper is the preliminary perspective that is supposed to trigger further empirical studies to advance the ongoing discourse around AI-integrated research with special attention to the novel research tool i.e., GPT Search
Co-Authors Asmawi, Adelina Haque, Mohammad Hamidul Ohidujjaman, A H M