Intelligent techniques in e-learning: a literature review

M Ilić, V Mikić, L Kopanja, B Vesin - Artificial Intelligence Review, 2023 - Springer
Online learning has become increasingly important, having in mind the latest events,
imposed isolation measures and closed schools and campuses. Consequently, teachers …

Peer assessment in MOOCs: Systematic literature review

D Gamage, T Staubitz, M Whiting - Distance Education, 2021 - Taylor & Francis
We report on a systematic review of the landscape of peer assessment in massive open
online courses (MOOCs) with papers from 2014 to 2020 in 20 leading education technology …

Integration of prediction scores from various automated essay scoring models using item response theory

M Uto, I Aomi, E Tsutsumi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In automated essay scoring (AES), essays are automatically graded without human raters.
Many AES models based on various manually designed features or various architectures of …

Learning automated essay scoring models using item-response-theory-based scores to decrease effects of rater biases

M Uto, M Okano - IEEE Transactions on Learning …, 2021 - ieeexplore.ieee.org
In automated essay scoring (AES), scores are automatically assigned to essays as an
alternative to grading by humans. Traditional AES typically relies on handcrafted features …

Effects of a peer assessment-based scrum project learning system on computer programming's learning motivation, collaboration, communication, critical thinking, and …

SC Chang, C Wongwatkit - Education and Information Technologies, 2024 - Springer
As computational thinking becomes increasingly essential, the challenge of designing
effective teaching approaches to foster students' abilities in this area persists, especially for …

Robust neural automated essay scoring using item response theory

M Uto, M Okano - Artificial Intelligence in Education: 21st International …, 2020 - Springer
Automated essay scoring (AES) is the task of automatically assigning scores to essays as an
alternative to human grading. Conventional AES methods typically rely on manually tuned …

Adaptive learning module for a conversational agent to support MOOC learners

N González-Castro, PJ Muñoz-Merino… - Australasian Journal of …, 2021 - ajet.org.au
Massive open online courses (MOOCs) pose a challenge for instructors when trying to
provide personalised support to learners, due to large numbers of registered participants …

A generalized many-facet Rasch model and its Bayesian estimation using Hamiltonian Monte Carlo

M Uto, M Ueno - Behaviormetrika, 2020 - Springer
Performance assessments, in which raters assess examinee performance for given tasks,
have a persistent difficulty in that ability measurement accuracy depends on rater …

Examining the effect of a genetic algorithm-enabled grou** method on collaborative performances, processes, and perceptions

X Li, F Ouyang, WZ Chen - Journal of Computing in Higher Education, 2022 - Springer
Group formation is a critical factor which influences collaborative processes and
performances in computer-supported collaborative learning (CSCL). Automatic grou** …

A multidimensional generalized many-facet Rasch model for rubric-based performance assessment

M Uto - Behaviormetrika, 2021 - Springer
Performance assessment, in which human raters assess examinee performance in a
practical task, often involves the use of a scoring rubric consisting of multiple evaluation …