Individualized help for at-risk students using model-agnostic and counterfactual explanations
Sign Up to like & getrecommendations! Published in 2021 at "Education and Information Technologies"
DOI: 10.1007/s10639-021-10661-6
Abstract: Although using machine learning for predicting which students are at risk of failing a course is indeed valuable, how can we identify which characteristics of individual students contribute to their being At-Risk? By characterising individual… read more here.
Keywords: agnostic counterfactual; risk; risk students; model agnostic ... See more keywords
Chemistry topics posing incommensurate difficulty to students with low math aptitude scores
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DOI: 10.1039/c8rp00115d
Abstract: The identification of students at risk for academic failure in undergraduate chemistry courses has been heavily addressed in the literature. Arguably one of the strongest and most well-supported predictors of undergraduate success in chemistry is… read more here.
Keywords: risk; risk students; chemistry; math ... See more keywords
Identifying Problematic Study Progression and “At-Risk” Students in Higher Education in Finland
Sign Up to like & getrecommendations! Published in 2019 at "Scandinavian Journal of Educational Research"
DOI: 10.1080/00313831.2018.1476407
Abstract: ABSTRACT Finland offers a specific example of a country with a broad enrolment in higher education, where the educational starting age is relatively high and where studies may last considerably longer than in most other… read more here.
Keywords: risk; risk students; finland; study ... See more keywords
An Integrated Framework Based on Latent Variational Autoencoder for Providing Early Warning of At-Risk Students
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DOI: 10.1109/access.2020.2964845
Abstract: The rapid development of learning technologies has enabled online learning paradigm to gain great popularity in both high education and K-12, which makes the prediction of student performance become one of the most popular research… read more here.
Keywords: integrated framework; risk; dataset; latent variational ... See more keywords
Mining Sequential Learning Trajectories With Hidden Markov Models For Early Prediction of At-Risk Students in E-Learning Environments
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Learning Technologies"
DOI: 10.1109/tlt.2022.3197486
Abstract: With the onset of online education via technology-enhanced learning platforms, large amount of educational data is being generated in the form of logs, clickstreams, performance, etc. These Virtual Learning Environments provide an opportunity to the… read more here.
Keywords: learning environments; hidden markov; students learning; mining sequential ... See more keywords
Peer Influence on Aggression at School: How Vulnerable Are Higher Risk Adolescents?
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DOI: 10.1177/1063426620917225
Abstract: Adolescent students with high levels of antisocial behavior are at increased risk for future psychosocial problems and can be expected to be especially vulnerable to negative peer influence. This study therefore examined whether higher risk… read more here.
Keywords: risk; risk students; peer influence; aggression ... See more keywords
Promoting Foundation Reading Skills With At-Risk Students
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DOI: 10.3389/fpsyg.2021.671733
Abstract: This paper presents an early reading intervention program, the PPCL (Programa de Promoção das Competências Leitoras—Promoting Reading Skills Program). PPCL focuses on the promotion of reading foundation abilities—letter-sound, phonemic awareness, decoding, and spelling—with at-risk first… read more here.
Keywords: intervention; reading skills; risk students; foundation ... See more keywords
A Monitoring and Early Intervention Program for At-Risk Students on Advanced Pharmacy Practice Experiences
Sign Up to like & getrecommendations! Published in 2022 at "American Journal of Pharmaceutical Education"
DOI: 10.5688/ajpe9011
Abstract: Objective. To describe a monitoring and early intervention process for students at risk of substandard performance on advanced pharmacy practice experiences (APPEs). Methods. Using a dashboard of key indicators, students with potential deficits in knowledge,… read more here.
Keywords: early intervention; monitoring early; advanced pharmacy; risk ... See more keywords