Generative artificial intelligence in learning analytics: Contextualising opportunities and challenges through the learning analytics cycle

L Yan, R Martinez-Maldonado, D Gasevic - Proceedings of the 14th …, 2024 - dl.acm.org
Generative artificial intelligence (GenAI), exemplified by ChatGPT, Midjourney, and other
state-of-the-art large language models and diffusion models, holds significant potential for …

Simulated learners in educational technology: A systematic literature review and a turing-like test

T Käser, G Alexandron - International Journal of Artificial Intelligence in …, 2024 - Springer
Simulation is a powerful approach that plays a significant role in science and technology.
Computational models that simulate learner interactions and data hold great promise for …

Advancing teacher technology education using open-ended learning environments as research and training platforms

EG Poitras, T Doleck, L Huang, S Li… - Australasian Journal of …, 2017 - ajet.org.au
A primary concern of teacher technology education is for pre-service teachers to develop a
sophisticated mental model of the affordances of technology that facilitates both teaching …

Fine grain synthetic educational data: challenges and limitations of collaborative learning analytics

B Flanagan, R Majumdar, H Ogata - IEEE Access, 2022 - ieeexplore.ieee.org
While data privacy is a key aspect of Learning Analytics, it often creates difficulty when
promoting research into underexplored contexts as it limits data sharing. To overcome this …

An approach to generating adaptive feedback for online formative assessment

F Lin, S De Silva - International Conference on Intelligent Tutoring …, 2023 - Springer
In this paper, we propose a novel approach to generating adaptive feedback by identifying
the chain of weakest learning objectives to a learner working in a domain. It combines the …

Scaffolding student teachers' information‐seeking behaviours with a network‐based tutoring system

E Poitras, Z Mayne, L Huang, L Udy… - Journal of Computer …, 2019 - Wiley Online Library
Student teachers' instructional planning requires them to regulate certain aspects of their
own learning while designing lessons. The aim of this study is to support student teachers' …

Development of AIS using simulated learners, bayesian networks and knowledge elicitation methods

B Emond, J Smith, M Musharraf, RZ Torbati… - … Conference on Human …, 2022 - Springer
The development of adaptive instructional systems (AIS) is an iterative process where both
empirical data on human performance and learning, and experimentation using computer …

Toward automated scenario generation with deep reinforcement learning in gift

J Rowe, A Smith, B Pokorny, B Mott… - Proceedings of the Sixth …, 2018 - books.google.com
Simulation-based training is an important tool for preparing learners to perform a broad
range of complex tasks and skills. A key functionality of simulation-based training …

Increase the problem solving ability through improved prior knowledge

E Sutadji - Journal of Physics: Conference Series, 2020 - iopscience.iop.org
This study examines the contribution of prior knowledge to improving problem-solving in
learning using interactive multimedia. This research is an experimental quantitative study …

Using an intelligent web browser for teacher professional development: Preliminary findings from simulated learners

E Poitras, N Fazeli - Society for Information Technology & Teacher …, 2016 - learntechlib.org
Open-ended learning environments that leverage online resources hold a wealth of
information for pre-service teachers to acquire the knowledge that is necessary to …