Large language models and GenAI in education: Insights from Nigerian in-service teachers through a hybrid ANN-PLS-SEM approach

F1000Research, Journal Year: 2025, Volume and Issue: 14, P. 258 - 258

Published: March 4, 2025

Background The rapid integration of Artificial Intelligence (AI) in education offers transformative opportunities to enhance teaching and learning. Among these innovations, Large Language Models (LLMs) like ChatGPT hold immense potential for instructional design, personalized learning, administrative efficiency. However, integrating tools into resource-constrained settings such as Nigeria presents significant challenges, including inadequate infrastructure, digital inequities, teacher readiness. Despite the growing research on AI adoption, limited studies focus developing regions, leaving a critical gap understanding how educators perceive adopt technologies. Methods We adopted hybrid approach, combining Partial Least Squares Structural Equation Modelling (PLS-SEM) Neural Networks (ANN) uncover both linear nonlinear dynamics influencing behavioral intention (BI) 260 Nigerian in-service teachers regarding after participating structured training. Key predictors examined include Perceived Ease Use (PEU), Usefulness (PUC), Attitude Towards (ATC), Your Colleagues (YCC), Technology Anxiety (TA), Teachers’ Trust (TTC), Privacy Issues (PIU). Results Our PLS-SEM results highlight PUC, TA, YCC, PEU, that order importance, predictors, explaining 15.8% variance BI. Complementing these, ANN analysis identified ATC, PUC most factors, demonstrating substantial predictive accuracy with an RMSE 0.87. This suggests while drives PEU positive attitudes are foundational fostering engagement Conclusion need targeted professional development initiatives teachers’ competencies, reduce technology-related anxiety, build trust ChatGPT. study actionable insights policymakers educational stakeholders, emphasizing importance inclusive ethical ecosystem. aim empower support AI-driven transformation resource-limited environments by addressing contextual barriers.

Language: Английский

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Management trends and implementation of AI in university management

Data & Metadata, Journal Year: 2025, Volume and Issue: 4, P. 866 - 866

Published: March 6, 2025

The objective of this article was to explore managerial trends and the implementation artificial intelligence in university management, with a particular focus on Latin American context. To end, mixed study designed, operationalized through documentary review bibliometric procedures, qualitative thematic analysis, triangulation system, an integration data supported by external sources. results were organized into five management strategies, three emerging trends, recommendations for managers, main themes. These reflect significant progress, but also pose challenges, especially regions structural inequalities resource constraints. analyzed indicate need balanced approach that combines technological innovation ethical social considerations. Furthermore, findings emphasize importance international collaboration local capacity building ensure equitable sustainable AI. It is concluded it cardinal underline potential AI transform higher education, provided technical, ethical, challenges are addressed comprehensively.

Language: Английский

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Literary writing and ethical issues in the era of artificial intelligence

Journal of Computational Methods in Sciences and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: May 3, 2025

In the context of rapid technological advances that have significantly transformed productivity relations, and alongside ongoing deepening interdisciplinary research, artificial intelligence has emerged into cultural discourse, sparking extensive heated discussions in fields digital humanities ethical philosophy. The purpose this study is to explore challenges response strategies field literature, identifying common issues creation AI including copyright intellectual property dilemmas caused by ambiguity creative subject, as well conflicts content form. To address these challenges, such establishing guidelines for literature strengthening technical supervision legal regulations are proposed. It also discusses future development direction under guidance.

Language: Английский

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A Systematic Review of Educators' Overreliance and Misuse of AI in Student Feedback

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 343 - 370

Published: April 25, 2025

The escalating adoption of AI in student feedback raises concerns about excessive reliance and misapplication, necessitating ethical scrutiny. This systematic review examines the patterns, consequences, implications overdependence on feedback. Using PRISMA guidelines, 12 studies from 2020 to 2024 were analyzed with MMAT tool thematic analysis. Six themes emerged: “transparency explainability,” “human oversight,” “fairness bias mitigation,” “data privacy,” “personalization,” “continuous evaluation.” These informed ETHICAL-FEED framework, which integrates technofeminist perspectives address power dynamics gender biases AI, fostering equity inclusivity. highlights not only pedagogical risks unchecked use but also urgent need for professional development guide educators implementation. framework promotes responsible education by emphasizing practices, maintaining standards, encouraging research intersection technology, gender, equity.

Language: Английский

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El lado oscuro de la inteligencia artificial generativa en educación médica: ¿Debemos preocuparnos?

Investigación en Educación Médica, Journal Year: 2024, Volume and Issue: 13(49), P. 5 - 8

Published: Jan. 7, 2024

Con la inteligencia artificial, estamos invocando al demonio".Elon Musk "Mitigar el riesgo de extinción debido a IA debería ser una prioridad global junto con otros riesgos escala social, como las pandemias y guerra nuclear".Center for AI Safety 1

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