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Revolutionising Educational Assessment: Automated Question Classification Using Bloom's Taxonomy and Deep Learning Techniques -- A Case Study on Undergraduate Examination Questions
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Kuhaneswaran Banujan; Samantha Kumara; Senthan Prasanth; Nirubikaa Ravikumar – International Journal of Education and Development using Information and Communication Technology, 2023
Examinations are one way of evaluating students. To ensure the production of valid exams, frameworks such as Bloom's taxonomy are utilised when preparing questions. Bloom's taxonomy is a well-known framework that categorises educational objectives into six hierarchical levels of cognitive complexity. However, manually categorising exam questions…
Descriptors: Artificial Intelligence, Test Construction, Classification, Foreign Countries
Acceptance of ChatGPT by Undergraduates in Sri Lanka: A Hybrid Approach of SEM-ANN
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Samsudeen Sabraz Nawaz; Mohamed Buhary Fathima Sanjeetha; Ghadah Al Murshidi; Mohamed Ismail Mohamed Riyath; Fadhilah Bt Mat Yamin; Rusith Mohamed – Interactive Technology and Smart Education, 2024
Purpose: This study aims to investigate Sri Lankan Government university students' acceptance of Chat Generative Pretrained Transformer (ChatGPT) for educational purposes. Using the unified theory of acceptance and use of technology 2 (UTAUT2) model as the primary theoretical lens, this study incorporated personal innovativeness as both a…
Descriptors: Foreign Countries, Undergraduate Students, Artificial Intelligence, Computer Software
Identifying Complex Causal Patterns in Students' Performance Using Machine Learning
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M. P. R. I. R. Silva; R. A. H. M. Rupasingha; B. T. G. S. Kumara – Technology, Pedagogy and Education, 2024
Today, in every academic institution as well as the university system assessing students' performance, identifying the uniqueness of each student and finding solutions to performance problems have become challenging issues. The main purpose of the study is to predict how student performance changes as a result of their behaviours, hobbies,…
Descriptors: Artificial Intelligence, Student Evaluation, Prediction, Recreational Activities
An Integrated Framework for an Educational Early Warning System with Mentor Matching
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D. V. D. S. Abeysinghe; M. S. D. Fernando – IAFOR Journal of Education, 2024
"Education is the key to success," one of the most heard motivational statements by all of us. People engage in education at different phases of our lives in various forms. Among them, university education plays a vital role in our academic and professional lives. During university education many undergraduates will face several…
Descriptors: Models, At Risk Students, Mentors, Undergraduate Students
A Self-Efficacy Theory-Based Study on the Teachers' Readiness to Teach Artificial Intelligence in Public Schools in Sri Lanka
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Chathura Rajapakse; Wathsala Ariyarathna; Shanmugalingam Selvakan – ACM Transactions on Computing Education, 2024
Objectives: This article explores teacher readiness for introducing artificial intelligence (AI) into Sri Lankan schools, drawing on self-efficacy theory. Similar to some other countries, Sri Lanka plans to integrate AI into the school curriculum soon. However, a key question remains: Are teachers prepared to teach this advanced technical subject…
Descriptors: Foreign Countries, Artificial Intelligence, Teacher Attitudes, Readiness
Barriers to and Opportunities for the Adoption of Generative Artificial Intelligence in Higher Education in the Global South: Insights from Sri Lanka
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Amali Henadirage; Nuwan Gunarathne – International Journal of Artificial Intelligence in Education, 2025
Numerous studies have explored the intricacies of artificial intelligence (AI) in higher education, predominantly focusing on developed countries. However, there is a notable gap in examining the hindrances and untapped potential of AI implementation in the higher education sector within the South Asian Global South countries. This study aims to…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Higher Education
Revolutionizing Education: Artificial Intelligence Empowered Learning in Higher Education
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Habeeb Ur Rahiman; Rashmi Kodikal – Cogent Education, 2024
Global businesses are actively embracing Industry 4.0 and digital transformation. Simultaneously, the education sector is leveraging digital tools to foster personalized learning and equity. Universities transcending borders and students becoming increasingly global have opened new frontiers through the use of artificial intelligence (AI)-based…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Faculty, Teaching Experience