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Prediction in MOOCs: A review and future research directions
This paper surveys the state of the art on prediction in MOOCs through a systematic
literature review (SLR). The main objectives are: first, to identify the characteristics of the …
literature review (SLR). The main objectives are: first, to identify the characteristics of the …
Artificial intelligence for sustainability—a systematic review of information systems literature
The booming adoption of Artificial Intelligence (AI) likewise poses benefits and challenges.
In this paper, we particularly focus on the bright side of AI and its promising potential to face …
In this paper, we particularly focus on the bright side of AI and its promising potential to face …
Systematic review of discussion forums in massive open online courses (MOOCs)
O Almatrafi, A Johri - IEEE Transactions on Learning …, 2018 - ieeexplore.ieee.org
Discussion forums are the primary and most widely used venue for social learning and
communication in MOOC context. There has been an interest in the last few years to study …
communication in MOOC context. There has been an interest in the last few years to study …
Needle in a haystack: Identifying learner posts that require urgent response in MOOC discussion forums
Although massive open online courses or MOOCs have been successful in attracting a large
number of learners, they have not been equally successful in retaining the learners to the …
number of learners, they have not been equally successful in retaining the learners to the …
How to improve learning experience in MOOCs an analysis of online reviews of business courses on Coursera
X Wei, V Taecharungroj - The International Journal of Management …, 2022 - Elsevier
This study enriched the research horizon of the social sciences and contents of MOOCs by
providing stakeholders with authentic data-driven recommendations to better conceptualize …
providing stakeholders with authentic data-driven recommendations to better conceptualize …
Leveraging class balancing techniques to alleviate algorithmic bias for predictive tasks in education
Predictive modeling is a core technique used in tackling various tasks in learning analytics
research, eg, classifying educational forum posts, predicting learning performance, and …
research, eg, classifying educational forum posts, predicting learning performance, and …
[HTML][HTML] Lessons from debiasing data for fair and accurate predictive modeling in education
The past few years have witnessed an explosion of attention given to the bias displayed by
Machine Learning (ML) techniques towards different groups of people (eg, female vs. male) …
Machine Learning (ML) techniques towards different groups of people (eg, female vs. male) …
Assessing algorithmic fairness in automatic classifiers of educational forum posts
Automatic classifiers of educational forum posts are essential in hel** instructors
effectively implement their teaching practices and thus have been widely investigated …
effectively implement their teaching practices and thus have been widely investigated …
Sentiment analysis in MOOCs: A case study
Forum messages in MOOCs (Massive Open Online Courses) are the most important source
of information about the social interactions happening in these courses. Forum messages …
of information about the social interactions happening in these courses. Forum messages …
[HTML][HTML] A convolution-LSTM-based deep neural network for cross-domain MOOC forum post classification
Learners in a massive open online course often express feelings, exchange ideas and seek
help by posting questions in discussion forums. Due to the very high learner-to-instructor …
help by posting questions in discussion forums. Due to the very high learner-to-instructor …