Shirish Raibagkar
The Institute of Cost Accountants of India

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Direct Technology Diffusion in Higher Education: Evidence from Doctoral Students Atul Kumar; Jaiprakash Paliwal; Mahesh Singh; Vishwas Pendse; Amandeep Saini; Rajesh Gade; Rahul Dhaigude; Abhay Bora; Sagar Nimbalkar; Shirish Raibagkar
ASEAN Journal of Educational Research and Technology Vol 6, No 1 (2027): AJERT: VOLUME 6, ISSUE 1, March 2027
Publisher : Bumi Publikasi Nusantara

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This study compares direct and indirect technology diffusion in higher education, focusing on plagiarism detection software in Indian doctoral education. Using a quantitative survey of research scholars, the study finds that direct diffusion significantly improves outcomes. Similarity levels decreased substantially under direct diffusion, indicating more accurate application of plagiarism rules. Additionally, direct diffusion reduced the time required and lowered costs considerably. The findings suggest that direct access empowers users, minimizes intermediary-related inefficiencies, and enhances both effectiveness and efficiency. The study highlights cost-effectiveness as a key enabler and recommends that policymakers and institutions promote direct technology diffusion to improve adoption and strengthen academic integrity in higher education.
Technology-Driven Prevention of Examination Paper Leaks in High-Stakes Educational Assessment to Support Sustainable Development Goals (SDGs): A Bibliometric and Focused Literature Review Vishwas Pendse; Jaiprakash Paliwal; Manesh Palav; Abhay Bora; Atul Kumar; Srinivasa Rao Kasisomayajula; Sagar Nimbalkar; Shirish Raibagkar
ASEAN Journal of Educational Research and Technology Vol 5, No 3 (2026): AJERT: VOLUME 5, ISSUE 3, December 2026
Publisher : Bumi Publikasi Nusantara

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Examination paper leaks threaten educational equity, public trust, and merit-based selection in high-stakes educational assessment. This study examines technology-driven prevention of examination paper leaks to support Sustainable Development Goals (SDGs) through a bibliometric and focused literature review. The review discusses blockchain-based question paper management, artificial intelligence (AI) proctoring, biometric authentication, cryptographic protection, digital watermarking, zero-knowledge proof frameworks, and generative AI-related academic integrity risks. Layered and policy-integrated technological approaches are needed to strengthen secure, fair, accountable, and SDG-oriented assessment systems.