A systematic review on machine learning models for online learning and examination systems

S Kaddoura, DE Popescu, JD Hemanth - PeerJ Computer Science, 2022 - peerj.com
Examinations or assessments play a vital role in every student's life; they determine their
future and career paths. The COVID pandemic has left adverse impacts in all areas …

Automatic engagement estimation in smart education/learning settings: a systematic review of engagement definitions, datasets, and methods

SN Karimah, S Hasegawa - Smart Learning Environments, 2022 - Springer
Background Recognizing learners' engagement during learning processes is important for
providing personalized pedagogical support and preventing dropouts. As learning …

[KNIHA][B] Visible learning: The sequel: A synthesis of over 2,100 meta-analyses relating to achievement

J Hattie - 2023 - taylorfrancis.com
When the original Visible Learning® was published in 2008, it instantly became a publishing
sensation. Interest in the book was unparalleled; it sold out in days and was described by …

Multimodal graph learning based on 3D Haar semi-tight framelet for student engagement prediction

M Li, X Zhuang, L Bai, W Ding - Information Fusion, 2024 - Elsevier
With the increasing availability of multimodal educational data, there is a growing need to
effectively integrate and exploit multiple data sources to enhance student engagement …

Multimodal engagement analysis from facial videos in the classroom

Ö Sümer, P Goldberg, S D'Mello… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Student engagement is a key component of learning and teaching, resulting in a plethora of
automated methods to measure it. Whereas most of the literature explores student …

Prediction of student academic performance using a hybrid 2D CNN model

S Poudyal, MJ Mohammadi-Aragh, JE Ball - Electronics, 2022 - mdpi.com
Opportunities to apply data mining techniques to analyze educational data and improve
learning are increasing. A multitude of data are being produced by institutional technology, e …

[HTML][HTML] Quality beats frequency? Investigating students' effort in learning when introducing technology in classrooms

T Fütterer, K Scheiter, X Cheng, K Stürmer - Contemporary Educational …, 2022 - Elsevier
Effort students put forth when learning (EFF) is paramount to high achievement in an
academic context. However, EFF has been shown to decrease over the course of a student's …

Identifying disease and diagnosis in females using machine learning

S Pramanik, SK Bandyopadhyay - Encyclopedia of Data Science …, 2023 - igi-global.com
Here, the researchers are trying to prepare a model for identifying whether a patient is
diabetic or not. The Pima Indian Dataset has been used in this case study. There are two …

[HTML][HTML] Ethical issues of educational virtual reality

A Skulmowski - Computers & Education: X Reality, 2023 - Elsevier
In response to the high demand for digital learning as a surrogate for physical experiences,
virtual reality (VR) is positioning itself as a tool for creating educational virtual experiences …

Digital transformations of classrooms in virtual reality

H Gao, E Bozkir, L Hasenbein, JU Hahn… - Proceedings of the …, 2021 - dl.acm.org
With rapid developments in consumer-level head-mounted displays and computer graphics,
immersive VR has the potential to take online and remote learning closer to real-world …