Psychological Antecedents of Adoption and Use of Artificial Intelligence Among University of Lagos Students DOI

Simon Omonigho UMUKORO,

Gabriel A. Akinbode,

Obalolu OKEOWO Damilola

et al.

LASU Journal of Employment Relations & Human Resource Management, Journal Year: 2025, Volume and Issue: 5(1), P. 1 - 19

Published: March 20, 2025

This study investigated the influence of academic integrity, technological literacy, and need for achievement on adoption use artificial intelligence (AI) among undergraduate students at University Lagos. Using a quantitative-cross-sectional design, data was collected from 381 participants (196 males, 185 females) recruited eleven faculties. Four standardized scales were used to measure achievement, attitudes towards Artificial Intelligence. Results indicated significant relationship between integrity AI purposes. Access technology found marginally moderate literacy use, with positive higher levels access. A correlation observed use. No gender differences in found. These findings suggest that (moderated by access), play substantial roles determining undergraduates, highlighting dynamic interaction factors influencing integration settings..

Language: Английский

Human versus Artificial Intelligence: ChatGPT-4 Outperforming Bing, Bard, ChatGPT-3.5 and Humans in Clinical Chemistry Multiple-Choice Questions DOI Creative Commons
Malik Sallam,

Khaled Al‐Salahat,

Huda Eid

et al.

Advances in Medical Education and Practice, Journal Year: 2024, Volume and Issue: Volume 15, P. 857 - 871

Published: Sept. 1, 2024

Artificial intelligence (AI) chatbots excel in language understanding and generation. These models can transform healthcare education practice. However, it is important to assess the performance of such AI various topics highlight its strengths possible limitations. This study aimed evaluate ChatGPT (GPT-3.5 GPT-4), Bing, Bard compared human students at a postgraduate master's level Medical Laboratory Sciences.

Language: Английский

Citations

6
Artificial Intelligence DOI
Henry Onderi

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 65 - 88

Published: Oct. 18, 2024

This chapter discusses the evolving Artificial Intelligence (AI) landscape in Higher Education. AI is new development that affect pedagogy and learning outcomes higher education. examines as a key component delivery of curriculum. It aims to guide institutions adjust fit into possible changes not be swayed by wave has gathered momentum globally. The should prepare stakeholders future will require shrunk office spaces. Further, there need for adoption use such technologies within confines known rules regulations ensure zero compromise on quality teaching, learning, productivity.

Language: Английский

Citations

5
Assessment as a dilemmatic space in the GenAI age: mapping and unpacking university teachers’ conflicting priorities in assessment DOI
Jiahui Luo, Chrysa Pui Chi Keung, Hei‐hang Hayes Tang

et al.

Assessment & Evaluation in Higher Education, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: Jan. 7, 2025

This study uses the concept of dilemmatic space to unpack complexities teachers' work when it comes assessing students in GenAI age. A key idea is that dilemmas are not 'out there' but constructions based on individuals' priorities, knowledge and values. Therefore, studying what teachers perceive as 'dilemmatic' or 'in conflict' important for understanding how they position themselves prioritise assessment advanced technologies like become increasingly integrated into our everyday lives. Drawing 636 Reddit posts related university experiences with over a 16-month period, we identified four major 13 pairs conflicting priorities. Teachers have consistently AI-enabled cheating their priority address specifically saw tension this varied. Findings shed light multiple under-discussed issues use assessment, including teacher autonomy, career security, teacher-student relationship professional identity. Very few reported own assist grading feedback provision, which could reflect limited awareness ethical implications involved use.

Language: Английский

Citations

0
Revolutionising Essay Evaluation DOI Creative Commons
Hassan Saleh Mahdi,

Abdullah Al-Khateeb

International Journal of Computer-Assisted Language Learning and Teaching, Journal Year: 2025, Volume and Issue: 15(1), P. 1 - 19

Published: Feb. 1, 2025

This study aims to develop a robust rubric for evaluating artificial intelligence (AI)–assisted essay writing in English as Foreign Language (EFL) contexts. Employing modified Delphi technique, we conducted comprehensive literature review and administered Likert scale questionnaires. process yielded nine key evaluation criteria, forming the initial rubric. The was applied evaluate 33 AI-assisted essays written by students part of an intensive course assignment. Statistical analysis revealed significant inter-rater reliability convergent validity coefficients, supporting adoption further development such rubrics across higher education institutions. developed subsequently used these using two AI tools: ChatGPT Claude. results indicated that both tools evaluated with similar scores, demonstrating consistency their assessment capabilities.

Language: Английский

Citations

0
Leveraging Educational Artificial Intelligence in Personal Language Learning Environments DOI
María Soledad Villarrubia Zúñiga

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 75 - 90

Published: April 9, 2025

This article explores the implications of Artificial Intelligence (AI) in personalisation language learning early childhood and primary education. The idea is to adapt educational content meet individual needs students based on their knowledge, skills, interests. Students with different profiles present a challenge that requires us explore possibilities AI so each student receives an individualised plan tailored knowledge needs. work focuses provide solutions teaching methods abilities rhythms student, thereby improving cognitive-emotional experience, despite doubts about impact these innovations. technology could help teachers develop special real-time interaction feedback, potential implement virtual environments multimodal formats make more appealing accessible.

Language: Английский

Citations

0
Eight Months into Reality: A Scoping Review of the Application of ChatGPT in Higher Education Teaching and Learning DOI Creative Commons
Qian Liu, Anjin Hu, Tehmina Gladman

et al.

Innovative Higher Education, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 22, 2025

Language: Английский

Citations

0
An exploration of students’ perceptions of artificial intelligence and plagiarism at a higher education institution DOI
Charmaine Bissessar

Equity in Education & Society, Journal Year: 2025, Volume and Issue: unknown

Published: March 14, 2025

With the high incidence of students’ use artificial intelligence (AI) content-generated tools, issues in academic integrity abound. Artificial and plagiarism have emerged as main threats to using AI tools scholarly literature. This study proposes answer following research questions: What are Master’s views tools? Why do Master's students qualitative descriptive phenomenological single case contains interviews with nine Guyanese completing their theses about experiences on plagiarism. These were chosen based non-probability purposive sampling. The researcher implemented six steps data analysis. In vivo, descriptive, evaluative coding semantic latent meanings considered. Deontology, utilitarianism, rational self-interest, cultural relativism linked three components Theory Planned Behavior when deductive was implemented. can inform policy development implementation

Language: Английский

Citations

0
Legal regulation of AI-assisted academic writing: challenges, frameworks, and pathways DOI Creative Commons

Runyang Gao,

Danghui Yu,

Biao Gao

et al.

Frontiers in Artificial Intelligence, Journal Year: 2025, Volume and Issue: 8

Published: April 7, 2025

Introduction The widespread application of artificial intelligence in academic writing has triggered a series pressing legal challenges. Methods This study systematically examines critical issues, including copyright protection, integrity, and comparative research methods. We establishes risk assessment matrix to quantitatively analyze various risks AI-assisted from three dimensions: impact, probability, mitigation cost, thereby identifying high-risk factors. Results findings reveal that challenges fundamental principles traditional law, with judicial practice tending position AI as creative tool while emphasizing human agency. Regarding new risks, such “credibility illusion” “implicit plagiarism,” have become prominent AI-generated content, necessitating adaptive regulatory mechanisms. Research data protection personal information security face dual require technological institutional innovations. Discussion Based on these findings, we propose three-dimensional framework “transparency, accountability, technical support” present systematic policy recommendations design, organizational structure, international cooperation perspectives. results deepen understanding attributes creation, promote theoretical innovation digital era ethics, provide practical guidance for institutions formulating usage policies.

Language: Английский

Citations

0
Psychological Antecedents of Adoption and Use of Artificial Intelligence Among University of Lagos Students DOI

Simon Omonigho UMUKORO,

Gabriel A. Akinbode,

Obalolu OKEOWO Damilola

et al.

LASU Journal of Employment Relations & Human Resource Management, Journal Year: 2025, Volume and Issue: 5(1), P. 1 - 19

Published: March 20, 2025

This study investigated the influence of academic integrity, technological literacy, and need for achievement on adoption use artificial intelligence (AI) among undergraduate students at University Lagos. Using a quantitative-cross-sectional design, data was collected from 381 participants (196 males, 185 females) recruited eleven faculties. Four standardized scales were used to measure achievement, attitudes towards Artificial Intelligence. Results indicated significant relationship between integrity AI purposes. Access technology found marginally moderate literacy use, with positive higher levels access. A correlation observed use. No gender differences in found. These findings suggest that (moderated by access), play substantial roles determining undergraduates, highlighting dynamic interaction factors influencing integration settings..

Language: Английский

Citations

0