Systematic review of research on artificial intelligence applications in higher education–where are the educators?
According to various international reports, Artificial Intelligence in Education (AIEd) is one of
the currently emerging fields in educational technology. Whilst it has been around for about …
the currently emerging fields in educational technology. Whilst it has been around for about …
Recent advances in deep learning theory
Deep learning is usually described as an experiment-driven field under continuous criticizes
of lacking theoretical foundations. This problem has been partially fixed by a large volume of …
of lacking theoretical foundations. This problem has been partially fixed by a large volume of …
[HTML][HTML] Empowering educators to be AI-ready
In this paper, we present the concept of AI Readiness, along with a framework for
developing AI Readiness training.'AI Readiness' can be framed as a contextualised way of …
developing AI Readiness training.'AI Readiness' can be framed as a contextualised way of …
Implications of AI (un-) fairness in higher education admissions: the effects of perceived AI (un-) fairness on exit, voice and organizational reputation
F Marcinkowski, K Kieslich, C Starke… - Proceedings of the 2020 …, 2020 - dl.acm.org
Algorithmic decision-making (ADM) is becoming increasingly important in all areas of social
life. In higher education, machine-learning systems have manifold uses because they can …
life. In higher education, machine-learning systems have manifold uses because they can …
Harnessing Artificial Intelligence for innovation in education
S Tan - … Innovative and digital transformative learning strategies …, 2023 - Springer
In the field of educational technology, Artificial Intelligence in Education (AIEd) is an
emerging field that is projected to have a profound impact on the teaching and learning …
emerging field that is projected to have a profound impact on the teaching and learning …
Toward predicting student's academic performance using artificial neural networks (ANNs)
Student performance is related to complex and correlated factors. The implementation of a
new advancement of technologies in educational displacement has unlimited potentials …
new advancement of technologies in educational displacement has unlimited potentials …
A practical model for the evaluation of high school student performance based on machine learning
The objective of this research is to develop an machine learning (ML)-based system that
evaluates the performance of high school students during the semester and identify the most …
evaluates the performance of high school students during the semester and identify the most …
A practical model for educators to predict student performance in K-12 education using machine learning
JL Harvey, SAP Kumar - 2019 IEEE symposium series on …, 2019 - ieeexplore.ieee.org
Predicting classifiers can be used to analyze data in K-12 education. Creating a
classification model to accurately identify factors affecting student performance can be …
classification model to accurately identify factors affecting student performance can be …
A new adaptive Cuckoo search algorithm
This paper presents a new adaptive Cuckoo search (ACS) algorithm based on the Cuckoo
search (CS) for optimization. The main thrust is to decide the step size adaptively from its …
search (CS) for optimization. The main thrust is to decide the step size adaptively from its …
A decision support system for predicting students' performance
Educational data mining is an emerging research field concerned with developing methods
for exploring the unique types of data that come from educational context. These data allow …
for exploring the unique types of data that come from educational context. These data allow …