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Published in 2020 at "Journal of Interdisciplinary Mathematics"
DOI: 10.1080/09720502.2020.1786938
Abstract: Abstract Mathematics anxiety is one of the influential factors on students’ mathematical performance as a negative relationship between students’ mathematics anxiety and mathematical performances has been frequently reported. Predicting students’ mathematics anxiety can help educators…
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Keywords:
mathematics;
mathematics anxiety;
epidemiological model;
students mathematics ... See more keywords
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Published in 2021 at "Journal of Applied Research in Higher Education"
DOI: 10.1108/jarhe-02-2021-0068
Abstract: PurposeThe study examines a mediated mechanism for enhancing students' engagement i.e. peer, intellectual and academic engagement within a higher education setup via the interaction of hope and mindfulness.Design/methodology/approachData were conveniently collected using self-reported questionnaires from…
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Keywords:
hope mindfulness;
students engagement;
peer intellectual;
hope ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2986809
Abstract: In today’s world, due to the advancement of technology, predicting the students’ performance is among the most beneficial and essential research topics. Data Mining is extremely helpful in the field of education, especially for analyzing…
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Keywords:
different resampling;
performance;
machine;
students performance ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3250702
Abstract: Students learning performance is one of the core components for assessing any educational systems. Students performance is very crucial in tackling issues of learning process and one of the important matters to measure learning outcomes.…
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Keywords:
performance;
early predicting;
education;
students performance ... See more keywords
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Published in 2017 at "EURASIP Journal on Image and Video Processing"
DOI: 10.1186/s13640-017-0228-8
Abstract: This paper proposes a novel approach to automatic estimation of attention of students during lectures in the classroom. The approach uses 2D and 3D data obtained by the Kinect One sensor to build a feature…
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Keywords:
classroom;
students attention;
attention;
facial body ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10031042
Abstract: Predicting students’ performance is one of the most important topics for learning contexts such as schools and universities, since it helps to design effective mechanisms that improve academic results and avoid dropout, among other things.…
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Keywords:
machine learning;
students performance;
analyzing predicting;
performance ... See more keywords