Detecting students-at-risk in computer programming classes with learning analytics from students' digital footprints.

• Authors : Azcona, David¹ (AUTHOR) ; Hsiao, I-Han² (AUTHOR) ; Smeaton, Alan F.¹ (AUTHOR)

Subjects: *Computer programming; *Universities & colleges; Digital footprint

• Source: User Modeling & User-Adapted Interaction. Sep2019, Vol. 29 Issue 4, p759-788. 30p.

• Abstract: Different sources of data about students, ranging from static demographics to dynamic behavior logs, can be harnessed from a variety sources ...

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An Explainable Machine Learning Approach to Predicting and Understanding Dropouts in MOOCs.

• Authors : Er, Erkan¹

• Source: Kastamonu Education Journal; oca2023, Vol. 31 Issue 1, p153-164, 12p

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EXPLORING PREDICTING PERFORMANCE OF ENGINEERING STUDENTS USING DEEP LEARNING.

• Authors : Zualkernan, Imran¹

• Source: Proceedings of the IADIS International Conference on Cognition & Exploratory Learning in Digital Age; 2021, p227-234, 8p

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A Review of Using Machine Learning Approaches for Precision Education.

• Authors : Hui Luan¹, ; Chin-Chung Tsai^1,2,

• Source: Journal of Educational Technology & Society; Jan2021, Vol. 24 Issue 1, p250-266, 17p

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Potential of Artificial Intelligence for transformation of the education system in India.

• Authors : Jaiswal, Akanksha¹; Arun, C. Joe¹

• Source: International Journal of Education & Development using Information & Communication Technology; 2021, Vol. 17 Issue 1, p142-158, 17p

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Needs and Performance Analysis for Changes in Higher Education and Implementation of Artificial Intelligence, Machine Learning, and Extended Reality.

• Authors : Ilić, Milena P.¹, edu.rs; Păun, Dan², ; Popović Šević, Nevenka¹

• Source: Education Sciences; Oct2021, Vol. 11 Issue 10, p568-568, 1p

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A material footprint model for green information systems – using statistical learning to identify the predictors of natural resource use.

• Authors : Buhl, Johannes¹ (AUTHOR) ; Liedtke, Christa^1,2 (AUTHOR) ; Teubler, Jens¹ (AUTHOR)

Subjects: *STATISTICAL learning; *INFORMATION storage & retrieval systems; *INFORMATION modeling

• Source: Cogent Engineering. Jan2019, Vol. 6 Issue 1, p1-12. 12p.

• Abstract: Green Information Systems in general, and footprint calculators in particular, are promising feedback tools to assist people in adopting sustainable behaviour. ... Copyright of Cogent Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or ...

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Sexing white 2D footprints using convolutional neural networks.

• Authors : Budka, Marcin¹ (AUTHOR); Bennett, Matthew R.² (AUTHOR) ; Reynolds, Sally C.³ (AUTHOR)

Subjects: *CONVOLUTIONAL neural networks; *CRIME scene searches; *BIG dataBOURNEMOUTH University

• Source: PLoS ONE. 8/18/2021, Vol. 16 Issue 8, p1-15. 15p.

• Abstract: Footprints are left, or obtained, in a variety of scenarios from crime scenes to anthropological investigations. Determining the sex of a Copyright of PLoS ONE is the property of Public Library of Science and its content may not be copied or emailed to multiple sites ...

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Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient.

• Authors : Vargas Muñoz, John E.¹ (AUTHOR) ; Tuia, Devis² (AUTHOR); Falcão, Alexandre X.¹ (AUTHOR)

Subjects: *Human-computer interaction; Machine learning; Rural population

• Source: International Journal of Geographical Information Science. Sep2021, Vol. 35 Issue 9, p1725-1745. 21p.

• Abstract: Locating populations in rural areas of developing countries has attracted the attention of humanitarian mapping projects since it is important to plan actions that affect ...

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A new ML-based approach to enhance student engagement in online environment.

• Authors : Ayouni, Sarra¹ (AUTHOR) ; Hajjej, Fahima¹ (AUTHOR); Maddeh, Mohamed² (AUTHOR)

Subjects: *STUDENT engagement; *ARTIFICIAL neural networks; *SUPPORT vector machines

• Source: PLoS ONE. 11/10/2021, Vol. 17 Issue 11, p1-16. 16p.

• Abstract: The educational research is increasingly emphasizing the potential of student engagement and its impact on performance, retention and persistence. This construct ... Copyright of PLoS ONE is the property of Public Library of Science and its content may not be copied or emailed to multiple sites ...

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