40 citations · 171 across the 20 of their papers we have counts for
20 papers
Problems With Large Language Models for Learner Modelling: Why LLMs Alone Fall Short for Responsible Tutoring in K--12 Education
Danial Hooshyar, Yeongwook Yang, Gustav Šíř +4
The rapid rise of large language model (LLM)-based tutors in K--12 education has fostered a misconception that generative models can replace traditional learner modelling for adapt…
Benchmarking Educational LLMs with Analytics: A Case Study on Gender Bias in Feedback
Yishan Du, Conrad Borchers, Mutlu Cukurova
As teachers increasingly turn to GenAI in their educational practice, we need robust methods to benchmark large language models (LLMs) for pedagogical purposes. This article presen…
Towards Mining Effective Pedagogical Strategies from Learner-LLM Educational Dialogues
Liqun He, Manolis Mavrikis, Mutlu Cukurova
Dialogue plays a crucial role in educational settings, yet existing evaluation methods for educational applications of large language models (LLMs) primarily focus on technical per…
AI-based Multimodal Biometrics for Detecting Smartphone Distractions: Application to Online Learning
Alvaro Becerra, Roberto Daza, Ruth Cobos +3
This work investigates the use of multimodal biometrics to detect distractions caused by smartphone use during tasks that require sustained attention, with a focus on computer-base…
Evaluating Trust in AI, Human, and Co-produced Feedback Among Undergraduate Students
Audrey Zhang, Yifei Gao, Wannapon Suraworachet +2
As generative AI models, particularly large language models (LLMs), transform educational feedback practices in higher education (HE) contexts, understanding students' perceptions…
A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education
Ziqing Li, Mutlu Cukurova, Sahan Bulathwela
The development of Automatic Question Generation (QG) models has the potential to significantly improve educational practices by reducing the teacher workload associated with creat…
Adult learners recall and recognition performance and affective feedback when learning from an AI-generated synthetic video
Zoe Ruo-Yu Li, Caswell Barry, Mutlu Cukurova
The widespread use of generative AI has led to multiple applications of AI-generated text and media to potentially enhance learning outcomes. However, there are a limited number of…
Biometrics and Behavior Analysis for Detecting Distractions in e-Learning
Álvaro Becerra, Javier Irigoyen, Roberto Daza +4
In this article, we explore computer vision approaches to detect abnormal head pose during e-learning sessions and we introduce a study on the effects of mobile phone usage during…
The Interplay of Learning, Analytics, and Artificial Intelligence in Education: A Vision for Hybrid Intelligence
Mutlu Cukurova
This paper presents a multi-dimensional view of AI's role in learning and education, emphasizing the intricate interplay between AI, analytics, and the learning processes. Here, I…
Harnessing Transparent Learning Analytics for Individualized Support through Auto-detection of Engagement in Face-to-Face Collaborative Learning
Qi Zhou, Wannapon Suraworachet, Mutlu Cukurova
Using learning analytics to investigate and support collaborative learning has been explored for many years. Recently, automated approaches with various artificial intelligence app…
Predicting challenge moments from students' discourse: A comparison of GPT-4 to two traditional natural language processing approaches
Wannapon Suraworachet, Jennifer Seon, Mutlu Cukurova
Effective collaboration requires groups to strategically regulate themselves to overcome challenges. Research has shown that groups may fail to regulate due to differences in membe…
What Explains Teachers' Trust of AI in Education across Six Countries?
Olga Viberg, Mutlu Cukurova, Yael Feldman-Maggor +9
With growing expectations to use AI-based educational technology (AI-EdTech) to improve students' learning outcomes and enrich teaching practice, teachers play a central role in th…
Prototyping the use of Large Language Models (LLMs) for adult learning content creation at scale
Daniel Leiker, Sara Finnigan, Ashley Ricker Gyllen +1
As Large Language Models (LLMs) and other forms of Generative AI permeate various aspects of our lives, their application for learning and education has provided opportunities and…
M2LADS: A System for Generating MultiModal Learning Analytics Dashboards in Open Education
Álvaro Becerra, Roberto Daza, Ruth Cobos +3
In this article, we present a Web-based System called M2LADS, which supports the integration and visualization of multimodal data recorded in learning sessions in a MOOC in the for…
Generative AI for learning: Investigating the potential of synthetic learning videos
Daniel Leiker, Ashley Ricker Gyllen, Ismail Eldesouky +1
Recent advances in generative artificial intelligence (AI) have captured worldwide attention. Tools such as Dalle-2 and ChatGPT suggest that tasks previously thought to be beyond t…
Adoption of Artificial Intelligence in Schools: Unveiling Factors Influencing Teachers Engagement
Mutlu Cukurova, Xin Miao, Richard Brooker
Albeit existing evidence about the impact of AI-based adaptive learning platforms, their scaled adoption in schools is slow at best. In addition, AI tools adopted in schools may no…
Impact of combining human and analytics feedback on students' engagement with, and performance in, reflective writing tasks
Wannapon Suraworachet, Qi Zhou, Mutlu Cukurova
Reflective writing is part of many higher education courses across the globe. It is often considered a challenging task for students as it requires self-regulated learning skills t…
An Artificial Intelligence driven Learning Analytics Method to Examine the Collaborative Problem solving Process from a Complex Adaptive Systems Perspective
Fan Ouyang, Weiqi Xu, Mutlu Cukurova
Collaborative problem solving (CPS) enables student groups to complete learning tasks, construct knowledge, and solve problems. Previous research has argued the importance to exami…
A Transparency Index Framework for AI in Education
Muhammad Ali Chaudhry, Mutlu Cukurova, Rose Luckin
Numerous AI ethics checklists and frameworks have been proposed focusing on different dimensions of ethical AI such as fairness, explainability, and safety. Yet, no such work has b…
A systematic review of physical-digital play technology and developmentally relevant child behaviour
Pablo E. Torres, Philip I. N. Ulrich, Veronica Cucuiat +8
New interactive physical-digital play technologies are shaping the way children plan. These technologies refer to digital play technologies that engage children in analogue forms o…