Research papers
2019 · International Journal of Educational Technology in Higher Education · 5,912 citations
Abstract According to various international reports, Artificial Intelligence in Education (AIEd) is one of the currently emerging fields in educational technology. Whilst it has been around for about 30 years, it is still unclear for educators how to make pedagogical advantage of it on a broader scale, and how it can actually impact meaningfully on teaching and learning in higher education. This paper seeks to provide an overview of research on AI applications in higher education through a systematic review. Out of 2656 initially identified publications for the period between 2007 and 2018, 146 articles were included for final synthesis, according to explicit inclusion and exclusion criteria. The descriptive results show that most of the disciplines involved in AIEd papers come from Computer Science and STEM, and that quantitative methods were the most frequently used in empirical studies. The synthesis of results presents four areas of AIEd applications in academic support services, and institutional and administrative services: 1. profiling and prediction, 2. assessment and evaluation, 3. adaptive systems and personalisation, and 4. intelligent tutoring systems. The conclusions reflect on the almost lack of critical reflection of challenges and risks of AIEd, the weak connection to theoretical pedagogical perspectives, and the need for further exploration of ethical and educational approaches in the application of AIEd in higher education.
2020 · IEEE Access · 3,691 citations
The purpose of this study was to assess the impact of Artificial Intelligence (AI) on education. Premised on a narrative and framework for assessing AI identified from a preliminary analysis, the scope of the study was limited to the application and effects of AI in administration, instruction, and learning. A qualitative research approach, leveraging the use of literature review as a research design and approach was used and effectively facilitated the realization of the study purpose. Artificial intelligence is a field of study and the resulting innovations and developments that have culminated in computers, machines, and other artifacts having human-like intelligence characterized by cognitive abilities, learning, adaptability, and decision-making capabilities. The study ascertained that AI has extensively been adopted and used in education, particularly by education institutions, in different forms. AI initially took the form of computer and computer related technologies, transitioning to web-based and online intelligent education systems, and ultimately with the use of embedded computer systems, together with other technologies, the use of humanoid robots and web-based chatbots to perform instructors' duties and functions independently or with instructors. Using these platforms, instructors have been able to perform different administrative functions, such as reviewing and grading students' assignments more effectively and efficiently, and achieve higher quality in their teaching activities. On the other hand, because the systems leverage machine learning and adaptability, curriculum and content has been customized and personalized in line with students' needs, which has fostered uptake and retention, thereby improving learners experience and overall quality of learning.
2020 · Zenodo (CERN European Organization for Nuclear Research) · 3,394 citations
Almost all researchers in computer science have access to Internet by now: with some 2 million Internet nodes at the time of writing an estimated 30 million people can connect to Internet, many of them directly from their desk. Internet has become an increasingly powerful information, communication
2018 · International Journal of Computer Science Issues · 749 citations
The International Journal of Computer Science Issues (IJCSI) is a refereed journal for scientific papers dealing with any area of computer science research. The purpose of establishing the scientific journal is the assistance in development of science, fast operative publication and storage of materials and results of scientific researches and representation of the scientific conception of the society.
2025 · Computers and Education Artificial Intelligence · 22 citations
This study explores the perception of artificial intelligence (AI )-based Chatbots, specifically Open AI’s ChatGPT use, among physics students in four universities in Ghana, Jordan, and the United States. We utilized a survey instrument adapted from the Technology Acceptance Model (TAM) to elicit responses from 804 students. TAM constructs: Perceived Usefulness (PU), Perceived Ease of Use (PEU), Subjective Norms (SN), Attitude Towards Technology Use (ATU), Behavioral Intention (BI), and User Behavior (UB) were assessed. We also assessed perceptions of ethical use (EU) and student learning outcomes (SLO) using a Structural Equation Model (SEM) approach. A measurement model had good fit indices and validated most hypotheses. A path analysis (PA) for hypothesized relationships suggested PEU and SN are significant predictors of BI and UB, whereas PU's influence on BI was indirect. Significantly, EU concerns negatively moderated the relationship between BI and UB, suggesting that higher ethical concerns can reduce ChatGPT usage. Cross-cultural analysis uncovered significant differences in perceptions and usage patterns influenced by institutional policies, academic levels, and demographic factors. Our findings affirm TAM's robustness in predicting technology use across various cultural and institutional settings. Findings also underscore the crucial roles of social influence in fostering positive user behaviors for Chat GPT. This study provides insights for educators and policymakers to develop strategies for integrating AI Chatbots responsibly and effectively in collegiate physics education while addressing ethical concerns. A longitudinal survey of the relationships between consistent AI Chatbot use, institutional support, student motivation, and learning outcomes is recommended.