Faculty Readiness and Ethical Perceptions of AI Integration in Higher Education Teaching and Assessment
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| Title: | Faculty Readiness and Ethical Perceptions of AI Integration in Higher Education Teaching and Assessment |
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| Language: | English |
| Authors: | Ayesha Afzal (ORCID |
| Source: | Higher Learning Research Communications. 2026 16(1). |
| Availability: | Walden University, LLC. 100 Washington Avenue South Suite 900, Minneapolis, MN 55401. Tel: 800-925-3368; Fax: 612-338-5092; e-mail: HLRCeditor@mail.waldenu.edu; Web site: https://scholarworks.waldenu.edu/hlrc/ |
| Peer Reviewed: | Y |
| Page Count: | 19 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | College Faculty, Readiness, Ethics, Teacher Attitudes, Artificial Intelligence, Technology Uses in Education, Technology Integration, Self Efficacy, College Role, School Policy, Barriers, Foreign Countries |
| Geographic Terms: | Pakistan |
| ISSN: | 2157-6254 |
| Abstract: | The rapid advancement of artificial intelligence (AI) technologies presents both transformative opportunities and complex challenges for higher education, particularly in teaching and assessment. This study examines the readiness of faculty members in Pakistani universities to integrate AI tools into pedagogical and evaluative practices, alongside their ethical perceptions of AI use in academic contexts. Using a qualitative research design, semi-structured interviews were conducted with 20 faculty members across diverse disciplines and institutions. Thematic analysis, guided by the Technology Acceptance Model (TAM), the Technological Pedagogical Content Knowledge (TPACK) framework, and Rest's Four-Component Model of ethical decision making, revealed four interrelated themes: (1) varying levels of technological confidence, (2) institutional support and policy vacuum, (3) ethical concerns surrounding fairness and transparency, and (4) a human-centered orientation toward AI integration. The findings show that while faculty recognize AI's potential to enhance educational efficiency and personalization, adoption is hindered by limited training, unclear governance structures, and moral uncertainty. The study underscores that successful AI integration depends not only on technological competence but also on institutional scaffolding and ethical agency. Practical implications call for comprehensive professional development, transparent policy frameworks, and participatory AI design involving educators. By presenting insights from a developing-country context, this research contributes to the global discourse on responsible AI in higher education, emphasizing the need for balanced innovation grounded in human values. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1505419 |
| Database: | ERIC |
| Abstract: | The rapid advancement of artificial intelligence (AI) technologies presents both transformative opportunities and complex challenges for higher education, particularly in teaching and assessment. This study examines the readiness of faculty members in Pakistani universities to integrate AI tools into pedagogical and evaluative practices, alongside their ethical perceptions of AI use in academic contexts. Using a qualitative research design, semi-structured interviews were conducted with 20 faculty members across diverse disciplines and institutions. Thematic analysis, guided by the Technology Acceptance Model (TAM), the Technological Pedagogical Content Knowledge (TPACK) framework, and Rest's Four-Component Model of ethical decision making, revealed four interrelated themes: (1) varying levels of technological confidence, (2) institutional support and policy vacuum, (3) ethical concerns surrounding fairness and transparency, and (4) a human-centered orientation toward AI integration. The findings show that while faculty recognize AI's potential to enhance educational efficiency and personalization, adoption is hindered by limited training, unclear governance structures, and moral uncertainty. The study underscores that successful AI integration depends not only on technological competence but also on institutional scaffolding and ethical agency. Practical implications call for comprehensive professional development, transparent policy frameworks, and participatory AI design involving educators. By presenting insights from a developing-country context, this research contributes to the global discourse on responsible AI in higher education, emphasizing the need for balanced innovation grounded in human values. |
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| ISSN: | 2157-6254 |
