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This Author published in this journals
All Journal IJoEd: Indonesian Journal on Education Indonesian Journal of Progressive Pedagogy
Muhammad Auwal Yakubu
UNICAF University, Malawi
Humanities Education Other

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Student Perceptions of Artificial Intelligence as a Virtual Tutor and Its Relation to Self-Efficacy in Learning Muhammad Auwal Yakubu; Zohaib Hassan Sain; Uthman Shehu Lawal; Mohamad Arif Rahman Hakim
Indonesian Journal of Progressive Pedagogy Vol. 1 No. 1 (2025)
Publisher : Al-Qalam Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/ijpp.v1i1.631

Abstract

This study investigates the use of Artificial Intelligence (AI) as a virtual tutor and its impact on students' self-efficacy in learning. Interviews, observations, and documentation from 30-40 students across various disciplines were analyzed using a mixed-methods approach. Findings show that AI enhances students' self-efficacy by providing quick, personalized feedback, boosting confidence in completing academic tasks. However, students reported challenges with complex topics requiring human-like explanations. Key factors influencing perceptions of AI included ease of use and technological comfort, which positively correlated with the perceived effectiveness of AI as a tutor. The study highlights the potential of AI to support learning but emphasizes the need for a balance with human interaction, especially for more complex subjects. This research contributes to understanding AI’s role in education. It offers insights for enhancing AI integration, recommending further development and training programs to improve students' digital literacy and engagement with AI systems
Application of Artificial Intelligence [AI] for Automated Essay Grading in Nigerian Schools Muhammad Auwal Yakubu; Zohaib Hassan Sain; Uthman Shehu Lawal; Septian Arief Budiman
Indonesian Journal on Education (IJoEd) Vol. 1 No. 2 (2024)
Publisher : Lembaga Penelitian Dan Publikasi Ilmiah (lppi) Yayasan Almahmudi Bin Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70437/ijoed.v1i2.28

Abstract

This paper explores the potential application of Artificial Intelligence (AI) for automated essay grading in Nigerian schools. Building on the current challenges in the Nigerian education system, including large student populations, time constraints, and inconsistent grading standards. The paper analyses how AI-based automated essay grading systems can address these issues by improving the assessment process's efficiency, consistency, and scalability. It also provide an overview of AI-based grading mechanisms, including machine learning and natural language processing techniques. It analyzes global case studies from countries like the United States, China, Japan, Spain, and Germany to draw insights into successful implementation strategies. The study also examines emerging applications of AI essay grading in African contexts, including South Africa, Kenya, and Egypt. Key findings highlight the potential benefits of AI grading systems in Nigerian schools, including reduced grading time, increased objectivity, and more detailed student feedback. However, the paper also identifies significant challenges like infrastructure deficits, technical limitations, ethical concerns, and cost implications. Thus, concludes with recommendations for implementing AI essay grading in Nigerian schools, proposing a gradual rollout strategy, developing comprehensive policy frameworks, and collaborating with technology providers. These recommendations aim to address the Nigerian context's unique challenges while leveraging AI's potential to enhance educational assessment and outcomes.
Co-Authors Mohamad Arif Rahman Hakim Septian Arief Budiman Uthman Shehu Lawal Zohaib Hassan Sain