Springer briefs in education, Journal Year: 2024, Volume and Issue: unknown, P. 91 - 108
Published: Jan. 1, 2024
Language: Английский
Springer briefs in education, Journal Year: 2024, Volume and Issue: unknown, P. 91 - 108
Published: Jan. 1, 2024
Language: Английский
Assessment & Evaluation in Higher Education, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 13
Published: Jan. 24, 2025
Language: Английский
Citations
5British Journal of Biomedical Science, Journal Year: 2025, Volume and Issue: 81
Published: Jan. 9, 2025
Generative Artificial Intelligence (GenAI) is rapidly transforming the landscape of higher education, offering novel opportunities for personalised learning and innovative assessment methods. This paper explores dual-edged nature GenAI's integration into educational practices, focusing on both its potential to enhance student engagement outcomes significant challenges it poses academic integrity equity. Through a comprehensive review current literature, we examine implications GenAI highlighting need robust ethical frameworks guide use. Our analysis framed within pedagogical theories, including social constructivism competency-based learning, importance balancing human expertise AI capabilities. We also address broader concerns associated with GenAI, such as risks bias, digital divide, environmental impact technologies. argues that while can provide substantial benefits in terms automation efficiency, must be managed care avoid undermining authenticity work exacerbating existing inequalities. Finally, propose set recommendations institutions, developing literacy programmes, revising designs incorporate critical thinking creativity, establishing transparent policies ensure fairness accountability By fostering responsible approach education harness safeguarding core values inclusive education.
Language: Английский
Citations
4Internet Reference Services Quarterly, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 34
Published: Jan. 1, 2025
Current AI detectors demonstrate significant technical limitations, including high false-positive and false-negative rates, show bias against non-native English speakers. We argue that detection-focused approaches in writing foster an atmosphere of distrust anxiety, while collaborative integration enhances learning outcomes student engagement. Successful requires clear institutional guidelines on detection, training for educators students, a focus process over product assessment. By shifting from policing mindset to trust-based educational framework, this method aims promote academic integrity, engagement, responsible use college writing.
Language: Английский
Citations
3Computers & composition/Computers and composition, Journal Year: 2025, Volume and Issue: unknown, P. 102911 - 102911
Published: Jan. 1, 2025
Language: Английский
Citations
1Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: 6, P. 100250 - 100250
Published: June 1, 2024
The recent emergence of generative artificial intelligence (GenAI) tools, such as ChatGPT, has brought profound changes to higher education. While many studies have examined the potential use ChatGPT in teaching and learning, few explored opportunities develop assessments that facilitate multiple technological innovations (i.e. traditional AI GenAI tools). We conducted qualitative research address this gap. an elective English course Hong Kong were re-designed incorporate other tools. Students asked employ reflect on their these tools for writing assessments. analysed written reflections 74 students focus group interviews with 28 students. results suggest possess acumen choosing appropriate online specific purposes. When they can choose freely, skills allow them evaluate select between when appropriate. Some mentioned concerns different features free premium versions. study call (1) assessment practices flexibility (2) equitable various
Language: Английский
Citations
6International Journal of Educational Technology in Higher Education, Journal Year: 2024, Volume and Issue: 21(1)
Published: Sept. 8, 2024
Abstract This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these assess their reliability in identifying AI-generated educational settings, where they are increasingly used address academic integrity concerns. Results show significant reductions detector accuracy (17.4%) faced simple techniques manipulate generated content. The varying performances GenAI tools and indicate cannot currently be recommended for determining violations due limitations potential false accusation which undermines inclusive fair assessment practices. However, may support learning non-punitively. aims guide educators institutions critical implementation higher education, highlighting importance exploring alternatives maintain inclusivity face emerging technologies.
Language: Английский
Citations
5International Journal of Law and Policy, Journal Year: 2024, Volume and Issue: 2(9), P. 24 - 36
Published: Sept. 30, 2024
This paper examines UNESCO's Recommendation on the Ethics of Artificial Intelligence, which outlines key principles for ensuring responsible AI development. The aim is to explore challenges and opportunities in implementing these current landscape. Through a literature review, comparative analysis existing frameworks, case studies. research identifies such as cultural variability, regulatory gaps, rapid pace innovation. Conversely, it highlights like establishing global ethical standards, fostering public trust, promoting study proposes strategies overcoming challenges, including clear metrics, international oversight, ethics education curricula. findings emphasize requirement cooperation robust governance mechanisms ensure concludes that while complex, crucial safeguarding human rights sustainable growth worldwide.
Language: Английский
Citations
5Smart Learning Environments, Journal Year: 2024, Volume and Issue: 11(1)
Published: Dec. 23, 2024
Abstract This study explores how socio-cultural dynamics influence student engagement with Generative AI technology in Nigerian higher education, using activity theory as theoretical underpinning. By examining the roles of community norms, technological accessibility, and educational objectives, research identifies critical factors that impact adoption utilisation GenAI. We employ quantitative analysis to analyse 899 survey responses from students across seventeen (17) universities derive interesting insights. Findings reveal ease use GenAI tools their alignment goals enhance engagement. Conversely, regular need for technical support negatively affect engagement, suggesting underlying issues. These insights provide actionable recommendations educators, administrators, policymakers, emphasising importance user-friendly tools, comprehensive training programs, robust systems. contributes understanding culturally diverse settings offers strategies improve practices outcomes both education also potentially other African (developing countries), where similar might integration advancements.
Language: Английский
Citations
4British Educational Research Journal, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 2, 2025
Abstract This study provides a comparative assessment of the capabilities leading artificial intelligence (AI) tools and human participants in business management education context. Specifically, we (a) assess how well current language models perform providing answers to standardised essay‐type assessments context, (b) examine efficacy emergent detecting AI‐generated texts (c) evaluate online AI rewriting paraphrasing their evading detection. Using an exploratory qualitative design, this generated evaluated 15 standard essays using ChatGPT ( n = 5), Bard 5) 5). A comparison is provided between average performance AI‐derived that ChatGPT‐generated across all five essays. The results suggest content can achieve reasonably high marks assessments. According findings study, AI's highly influenced by types prompts used, user's experience degree which user discern relevant irrelevant content. findings, Turnitin's detection tool effective at has been created AI, but effectiveness reduced rewriters. Turnitin tool, however, significantly more identifying compared with ChatGPT. results, produced better when clear outlined topic expectations, divided tasks into sections fed conversational manner train model. By utilising chatbots effectively, traditional teaching methods be supplemented targeted engaging learning experiences.
Language: Английский
Citations
0Education for Chemical Engineers, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Citations
0