The past, present and future of educational assessment: A transdisciplinary perspective

GTL Brown - Frontiers in Education, 2022 - frontiersin.org
To see the horizon of educational assessment, a history of how assessment has been used
and analysed from the earliest records, through the 20th century, and into contemporary …

Experiences from using code explanations generated by large language models in a web software development e-book

S MacNeil, A Tran, A Hellas, J Kim, S Sarsa… - Proceedings of the 54th …, 2023 - dl.acm.org
Advances in natural language processing have resulted in large language models (LLMs)
that can generate code and code explanations. In this paper, we report on our experiences …

A comparative study of AI-generated (GPT-4) and human-crafted MCQs in programming education

Y Touissi, G Hjiej, A Hajjioui, A Ibrahimi… - Medical Education …, 2022 - Taylor & Francis
Practicing Multiple-choice questions is a popular learning method among medical students.
While MCQs are commonly used in exams, creating them might provide another opportunity …

Can we trust AI-generated educational content? comparative analysis of human and AI-generated learning resources

P Denny, H Khosravi, A Hellas, J Leinonen… - arxiv preprint arxiv …, 2023 - arxiv.org
As an increasing number of students move to online learning platforms that deliver
personalized learning experiences, there is a great need for the production of high-quality …

Embedding game-based problem-solving phase into problem-posing system for mathematics learning

KE Chang, LJ Wu, SE Weng, YT Sung - Computers & Education, 2012 - Elsevier
A problem-posing system is developed with four phases including posing problem,
planning, solving problem, and looking back, in which the “solving problem” phase is …

Generating multiple choice questions for computing courses using large language models

A Tran, K Angelikas, E Rama… - 2023 IEEE Frontiers …, 2023 - ieeexplore.ieee.org
Generating high-quality multiple-choice questions (MCQs) is a time-consuming activity that
has led practitioners and researchers to develop community question banks and reuse the …

Development and adoption of an adaptive learning system: Reflections and lessons learned

H Khosravi, S Sadiq, D Gasevic - Proceedings of the 51st ACM technical …, 2020 - dl.acm.org
Adaptive learning systems (ALSs) aim to provide an efficient, effective and customised
learning experience for students by dynamically adapting learning content to suit their …

Ripple: A crowdsourced adaptive platform for recommendation of learning activities

H Khosravi, K Kitto, JJ Williams - arxiv preprint arxiv:1910.05522, 2019 - arxiv.org
This paper presents a platform called RiPPLE (Recommendation in Personalised Peer-
Learning Environments) that recommends personalized learning activities to students based …