A meta systematic review of artificial intelligence in higher education: A call for increased ethics, collaboration, and rigour
Although the field of Artificial Intelligence in Education (AIEd) has a substantial history as a
research domain, never before has the rapid evolution of AI applications in education …
research domain, never before has the rapid evolution of AI applications in education …
Framework for automatically suggesting remedial actions to help students at risk based on explainable ML and rule-based models
Higher education institutions often struggle with increased dropout rates, academic
underachievement, and delayed graduations. One way in which these challenges can …
underachievement, and delayed graduations. One way in which these challenges can …
Educational data mining, student academic performance prediction, prediction methods, algorithms and tools: An overview of reviews
This overview study set out to compare and synthesise the findings of review studies
conducted on predicting student academic performance (SAP) in higher education using …
conducted on predicting student academic performance (SAP) in higher education using …
[PDF][PDF] A meta-analysis of the economic impact of carbon emissions in Africa
The economic impact of carbon emissions in Africa is gaining traction in the extant literature.
This study adopted Preferred Reporting Items for Systematic Reviews and Meta-Analyses …
This study adopted Preferred Reporting Items for Systematic Reviews and Meta-Analyses …
[HTML][HTML] Predicting Students' Outcome in an Introductory Programming Course: Leveraging the Student Background
For a lot of beginners, learning to program is challenging; similarly, for teachers, it is difficult
to draw on students' prior knowledge to help the process because it is not quite obvious …
to draw on students' prior knowledge to help the process because it is not quite obvious …
Predicting academic performance of university students using machine learning: a case study in the UK
Students' performance is one of the key success factors in educational institutions.
Understanding the performance of students can help identify issues, enabling real-time …
Understanding the performance of students can help identify issues, enabling real-time …
Ten Essential Pillars in Artificial Intelligence for University Science Education: A Sco** Review
Although Artificial Intelligence (AI) is notable in education, the studies on its specific
application in university science education are still incipient. At the same time, the research …
application in university science education are still incipient. At the same time, the research …
Towards a Literature Review Methodology: A Practical Guide in the Context of Using Artificial Intelligence in Education.
M El Jihaoui, O El Kheir Abra… - International …, 2024 - search.ebscohost.com
Scientific research plays an essential role in the development of mankind through its ability
to provide innovative solutions and technological advances in various fields. In this …
to provide innovative solutions and technological advances in various fields. In this …
[PDF][PDF] Machine learning model through ensemble bagged trees in predictive analysis of university teaching performance
The objective of this study is to analyze and discuss the metrics of the Machine Learning
model through the Ensemble Bagged Trees algorithm, which will be applied to data on …
model through the Ensemble Bagged Trees algorithm, which will be applied to data on …
A Review of Automatic Question Generation in Teaching Programming
J Alshboul, E Baksa-Varga - International Journal of Advanced …, 2022 - search.proquest.com
Computer programming is a complex field that requires rigorous practice in programming
code writing and learning skills, which can be one of the critical challenges in learning and …
code writing and learning skills, which can be one of the critical challenges in learning and …