Jul 2026· International Journal of Business and Management Sciences· 0 citations
TL;DR
The results showed that AI can be used in teaching in order to plan, personalize, tutor, assess and provide feedback, thus enhancing instruction, engagement, critical thinking and performance, and the study suggests that AI should be used as an addition to teaching staff.
Abstract
Artificial Intelligence (AI) is making a substantial impact on education, influencing instruction, learning, and management. This descriptive study aimed to identify the role of artificial intelligence in education, with a focus on its contribution to enhancing the quality of teaching and learning, as emerging from recent studies. In order to conduct a thorough assessment of the use and impact of artificial intelligence in instructional settings, secondary data was collected from published manuscripts. Articles were searched for in databases in the years 2023-2025, and their findings were qualitatively synthesized using thematic analysis. The results showed that AI can be used in teaching in order to plan, personalize, tutor, assess and provide feedback, thus enhancing instruction, engagement, critical thinking and performance. However, such problems as academic integrity, data privacy and security, algorithmic bias, the digital divide, and the need for teacher training may hinder the process. The study suggests that AI should be used as an addition to teaching staff since it should be handled properly, ethically, and with relevant infrastructure to ensure that all students have equal access to education. The research has provided answers that education stakeholders need to consider before engaging in AI-based educational technologies.
The development of artificial intelligence (AI) has significantly impacted the learning process in higher education. This study aims to analyze the use of artificial intelligence to support the learning process in higher education, including the forms of use, benefits, and challenges it poses. The study used a qualitative descriptive approach with a literature review method. Data were obtained from various scientific journal articles, books, research reports, and institutional documents relevant to the use of AI in higher education. Data analysis was conducted using content analysis by identifying, classifying, comparing, and synthesizing various previous research findings. The results show that AI can be utilized as a learning assistant, a supporter of personalized learning, a developer of teaching materials, a provider of feedback, an assessment supporter, and a tool to enhance student self-directed learning and creativity. The use of AI can also help lecturers increase efficiency in planning and implementing learning. However, the use of AI presents challenges such as information inaccuracy, technology dependency, violations of academic integrity, data privacy, bias, and the potential for a decline in students' critical thinking skills. Therefore, the use of AI in higher education must be carried out ethically, critically, responsibly, and human-centeredly through strengthening AI literacy, improving lecturer competency, institutional policies, and adjusting assessment systems. AI should be positioned as a tool to enhance the learning process, not as a substitute for lecturers or students' thinking processes.
Heppy Sapulete, Lia Khalisa, Afifah Qurrota A'yun et al.· International Journal of Edu...· 0 citations
With evolving times, the field of education is undergoing a major transformation with the help of Artificial Intelligence, which aids in the personalization of learning, instructional design, evaluation, and administration. The successful integration of AI depends on teachers' perceptions, experiences and openness. In this study, the convergent parallel mixed-method design was used to identify teachers' perceptions, experiences and challenges with the use of AI technologies in learning activities including eight teachers as respondents by using the purposive sampling method. The data was collected using items that were reported on a Likert scale and processed qualitatively by themes. Results showed that teachers had positive attitudes toward use of AI, with a specific emphasis on its utility in lesson planning, boosting engagement, and streamlining administration. The study found that the main challenges to implementing AI are insufficient institutional support, ambiguous policy guidance, plagiarism, data privacy, and overreliance on AI. Teachers perceived AI as a teaching assistant not a teacher. Thus, the study emphasizes the importance of professional development, institutional preparedness, and ethical guidelines to ensure responsible and effective integration of AI in education.
Suresh Bahadur Diyal, Romkant Pandey· Janabhawana Research Journal· 0 citations
It is concluded that academic institutions must use clear ethical practices and AI-aware assessment designs to ensure that technology is used as an assisting tool that improves users' learning while ensuring the fundamental values of education.
Sugandha Nandedkar, Prachi N. Waghmare, Ashwini Swami et al.· International Scientific Jou...· 0 citations
The findings suggest that the pedagogical transformation enabled by artificial intelligence depends less on the sophistication of the technologies themselves and more on the institutional capacity to establish curricular guidelines, implement ethical policies, and foster critical digital competencies among both teachers and students.
Félix Antonio Díaz, Juan Carlos Toribio Fernández, J. Martínez-Alonzo et al.· MENTOR revista de investigac...· 0 citations
The study proposes the incorporation of “epistemic hygiene,” understood as the systematic development of competencies in critical judgment, comparison, and validation of knowledge generated by algorithmic systems.
