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A systematic review on machine learning models for online learning and examination systems
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 …
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
Background Recognizing learners' engagement during learning processes is important for
providing personalized pedagogical support and preventing dropouts. As learning …
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 …
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
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 …
effectively integrate and exploit multiple data sources to enhance student engagement …
Multimodal engagement analysis from facial videos in the classroom
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 …
automated methods to measure it. Whereas most of the literature explores student …
Prediction of student academic performance using a hybrid 2D CNN model
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 …
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
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 …
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 …
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 …
virtual reality (VR) is positioning itself as a tool for creating educational virtual experiences …
Digital transformations of classrooms in virtual reality
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 …
immersive VR has the potential to take online and remote learning closer to real-world …