An artificial intelligence approach to monitor student performance and devise preventive measures
A major problem an instructor experiences is the systematic monitoring of students'
academic progress in a course. The moment the students, with unsatisfactory academic …
academic progress in a course. The moment the students, with unsatisfactory academic …
[PDF][PDF] A Conceptual Framework to Aid Attribute Selection in Machine Learning Student Performance Prediction Models.
One of the key applications of Learning Analytics is offering an opportunity to the institutions
to track the students' academic activities and provide them with real-time adaptive …
to track the students' academic activities and provide them with real-time adaptive …
Modern artificial intelligence model development for undergraduate student performance prediction: An investigation on engineering mathematics courses
A computationally efficient artificial intelligence (AI) model called Extreme Learning
Machines (ELM) is adopted to analyze patterns embedded in continuous assessment to …
Machines (ELM) is adopted to analyze patterns embedded in continuous assessment to …
Maximal cliques based method for detecting and evaluating learning communities in social networks
Massive data is generated due to the intensive use of social networks by learners. Thus,
various applications in different domains such as education are conducted to understand the …
various applications in different domains such as education are conducted to understand the …
Map-reduce framework based cluster architecture for academic student's performance prediction using cumulative dragonfly based neural network
The major aim of the education institute is to provide the high-quality education to students.
The way to attain the high quality in the education system is to determine the knowledge …
The way to attain the high quality in the education system is to determine the knowledge …
Predicting the impact of internet usage on students' academic performance using machine learning techniques in Bangladesh perspective
Education systems have significantly changed with the emergence of the internet. It has a
significant impact on how students learn things. Nevertheless, its impact can also be …
significant impact on how students learn things. Nevertheless, its impact can also be …
Comparison of machine learning models in student result prediction
V Kumar, ML Garg - … Conference on Advanced Computing Networking and …, 2019 - Springer
Prediction of result of students in a particular subject based on their performance in
continuous assessment during the semester can be accomplished by various available …
continuous assessment during the semester can be accomplished by various available …
Cognitive analysis of meaning and acquired mental representations as an alternative measurement method technique to innovate e-assessment
GE Morales-Martinez, EO Lopez-Ramirez… - European Journal of …, 2017 - dergipark.org.tr
Empirical directions to innovate e-assessments and to support the theoretical development
of e-learning are discussed by presenting a new learning assessment system based on …
of e-learning are discussed by presenting a new learning assessment system based on …
[HTML][HTML] Artificial intelligence developments in medical education: a conceptual and practical framework
K Masters - MedEdPublish, 2020 - ncbi.nlm.nih.gov
This article was migrated. The article was marked as recommended. As Artificial Intelligence
(AI) develops in medicine, there is a greater awareness that medical education may also …
(AI) develops in medicine, there is a greater awareness that medical education may also …
[PDF][PDF] Enhancing efficient study plan for student with machine learning techniques
This research aims to enhance the achievement of the students on their study plan. The
problem of the students in the university is that some students cannot design the efficient …
problem of the students in the university is that some students cannot design the efficient …