Student performance analysis and prediction in classroom learning: A review of educational data mining studies

A Khan, SK Ghosh - Education and information technologies, 2021 - Springer
Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …

E-learning enhancement through educational data mining with Covid-19 outbreak period in backdrop: A review

K Aulakh, RK Roul, M Kaushal - International journal of educational …, 2023 - Elsevier
E-learning is fast becoming an integral part of the teaching-learning process, particularly
after the outbreak of Covid-19 pandemic. Educational institutions across the globe are …

[LIVRE][B] Handbook of learning analytics

C Lang, G Siemens, A Wise, D Gasevic - 2017 - academia.edu
At the Learning Analytics and Knowledge Conference in 2014, The Handbook of Learning
Analytics was conceived to support a scientiic view of the rapidly growing ecosystem …

Data mining for modeling students' performance: A tutoring action plan to prevent academic dropout

C Burgos, ML Campanario, D de la Peña… - Computers & Electrical …, 2018 - Elsevier
E-learning systems generate huge amounts of data, whose analysis may become a
daunting task which makes it necessary to use computational analytical techniques and …

[LIVRE][B] Foundations of educational technology: Integrative approaches and interdisciplinary perspectives

GM Morel, JM Spector - 2022 - taylorfrancis.com
Foundations of Educational Technology offers a fresh, interdisciplinary, problem-centered
approach to educational technology, learning design, and instructional systems …

Unpacking the “Black Box” of AI in education

N Gillani, R Eynon, C Chiabaut, K Finkel - Educational Technology & …, 2023 - JSTOR
Recent advances in Artificial Intelligence (AI) have sparked renewed interest in its potential
to improve education. However, AI is a loose umbrella term that refers to a collection of …

Intelligent tutoring systems: How computers achieve learning gains that rival human tutors

SK D'Mello, A Graesser - Handbook of educational psychology, 2023 - taylorfrancis.com
Intelligent Tutoring System (ITSs) implement many affordances of digital technologies that
were articulated in the National Academy of Sciences, Engineering, and Medicine report …

Defining the boundaries between artificial intelligence in education, computer-supported collaborative learning, educational data mining, and learning analytics: A …

B Rienties, H Køhler Simonsen, C Herodotou - Frontiers in Education, 2020 - frontiersin.org
This review aims to provide a concise overview of four distinct research fields: Artificial
Intelligence and EDucation (AIED), Computer-Supported Collaborative Learning (CSCL) …

[HTML][HTML] Перспективы использования цифрового следа в образовательном и научном процессах

МЕ Вайндорф-Сысоева… - Вестник Мининского …, 2021 - cyberleninka.ru
Введение. Анализ цифрового следа обучающегося и/или научного сотрудника является
перспективным направлением, позволяющим оптимизировать индивидуальную …

Large language models for education: A survey and outlook

S Wang, T Xu, H Li, C Zhang, J Liang, J Tang… - arxiv preprint arxiv …, 2024 - arxiv.org
The advent of Large Language Models (LLMs) has brought in a new era of possibilities in
the realm of education. This survey paper summarizes the various technologies of LLMs in …