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Intelligent techniques in e-learning: a literature review
Online learning has become increasingly important, having in mind the latest events,
imposed isolation measures and closed schools and campuses. Consequently, teachers …
imposed isolation measures and closed schools and campuses. Consequently, teachers …
Peer assessment in MOOCs: Systematic literature review
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 …
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
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 …
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 …
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 …
As computational thinking becomes increasingly essential, the challenge of designing
effective teaching approaches to foster students' abilities in this area persists, especially for …
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 …
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 …
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
Performance assessments, in which raters assess examinee performance for given tasks,
have a persistent difficulty in that ability measurement accuracy depends on rater …
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
Group formation is a critical factor which influences collaborative processes and
performances in computer-supported collaborative learning (CSCL). Automatic grou** …
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 …
practical task, often involves the use of a scoring rubric consisting of multiple evaluation …