{"id":667,"date":"2024-11-20T17:34:15","date_gmt":"2024-11-20T17:34:15","guid":{"rendered":"https:\/\/www.res.cmb.ac.lk\/geography\/fareena.ruzaik\/?p=667"},"modified":"2024-11-20T17:34:27","modified_gmt":"2024-11-20T17:34:27","slug":"effectiveness-of-academic-integrity-in-the-age-of-ai-in-sri-lankan-higher-education-sector-challenges-and-solutions","status":"publish","type":"post","link":"https:\/\/www.res.cmb.ac.lk\/geography\/fareena.ruzaik\/index.php\/2024\/11\/20\/effectiveness-of-academic-integrity-in-the-age-of-ai-in-sri-lankan-higher-education-sector-challenges-and-solutions\/","title":{"rendered":"Effectiveness of Academic Integrity in the Age of AI in Sri Lankan Higher Education Sector: Challenges and Solutions"},"content":{"rendered":"<p>The rapid integration of artificial intelligence (AI) into higher education has revolutionized<\/p>\n<p>teaching and assessment practices, yet it has also presented significant challenges to maintaining<\/p>\n<p>academic integrity. The study focuses on higher education institutions in Sri Lanka. The purpose<\/p>\n<p>of this study is to analyse the effectiveness of academic integrity practices in the context of AI<\/p>\n<p>technologies within the higher education sector of Sri Lanka. Specifically, it examines AI-driven<\/p>\n<p>assessment methods, concerns about plagiarism detection tools, and the effectiveness of current<\/p>\n<p>certification methods in preserving academic integrity. A structured online questionnaire was<\/p>\n<p>administered to 147 participants from diverse academic backgrounds and institutions across<\/p>\n<p>Sri Lanka. Quantitative data were collected through extracted from Likert-scale responses and<\/p>\n<p>demographic data. Hypothesis tests including the chi-square test and ANOVA were used to<\/p>\n<p>assess the statistical significance of differences in perceptions among demographic variables.<\/p>\n<p>The survey findings suggest mixed views on the effectiveness of academic integrity practices<\/p>\n<p>in the AI age. While 64% of respondents expressed confidence in AI-driven assessment<\/p>\n<p>methods, they raised particular concerns about the potential for algorithmic biases to influence<\/p>\n<p>assessment fairness (\u03c72 (1) = 15.32, <i>p<\/i> &lt; 0.001). Additionally, 79% of participants highlighted<\/p>\n<p>the importance of increasing transparency and accountability in AI-based theft detection tools.<\/p>\n<p>Statistical analysis reveals notable differences in perceptions based on participants\u2019 academic<\/p>\n<p>discipline and years of experience in higher education. In particular, respondents from<\/p>\n<p>engineering disciplines showed greater confidence in AI technologies compared to those from<\/p>\n<p>humanities and social sciences (<i>F<\/i> (2, 144) = 5.78, <i>p<\/i> &lt; 0.01). Based on the research findings,<\/p>\n<p>strategic recommendations are made to address these challenges and enhance academic<\/p>\n<p>integrity practices in AI development. This survey-method study provides empirical insights<\/p>\n<p>and compelling statistical evidence on the evolving landscape of academic authenticity in<\/p>\n<p>higher education in the context of hybrid AI technologies in Sri Lanka. It provides practical<\/p>\n<p>recommendations for institutions and policymakers to address ethical challenges and effectively<\/p>\n<p>promote honesty in educational settings.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The rapid integration of artificial intelligence (AI) into higher education has revolutionized teaching and assessment practices, yet it has also [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[8],"tags":[],"_links":{"self":[{"href":"https:\/\/www.res.cmb.ac.lk\/geography\/fareena.ruzaik\/index.php\/wp-json\/wp\/v2\/posts\/667"}],"collection":[{"href":"https:\/\/www.res.cmb.ac.lk\/geography\/fareena.ruzaik\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.res.cmb.ac.lk\/geography\/fareena.ruzaik\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.res.cmb.ac.lk\/geography\/fareena.ruzaik\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.res.cmb.ac.lk\/geography\/fareena.ruzaik\/index.php\/wp-json\/wp\/v2\/comments?post=667"}],"version-history":[{"count":1,"href":"https:\/\/www.res.cmb.ac.lk\/geography\/fareena.ruzaik\/index.php\/wp-json\/wp\/v2\/posts\/667\/revisions"}],"predecessor-version":[{"id":668,"href":"https:\/\/www.res.cmb.ac.lk\/geography\/fareena.ruzaik\/index.php\/wp-json\/wp\/v2\/posts\/667\/revisions\/668"}],"wp:attachment":[{"href":"https:\/\/www.res.cmb.ac.lk\/geography\/fareena.ruzaik\/index.php\/wp-json\/wp\/v2\/media?parent=667"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.res.cmb.ac.lk\/geography\/fareena.ruzaik\/index.php\/wp-json\/wp\/v2\/categories?post=667"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.res.cmb.ac.lk\/geography\/fareena.ruzaik\/index.php\/wp-json\/wp\/v2\/tags?post=667"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}