Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review

CC Lin, AYQ Huang, OHT Lu - Smart Learning Environments, 2023 - Springer
Sustainable education is a crucial aspect of creating a sustainable future, yet it faces several
key challenges, including inadequate infrastructure, limited resources, and a lack of …

[HTML][HTML] The power of Deep Learning techniques for predicting student performance in Virtual Learning Environments: A systematic literature review

B Alnasyan, M Basheri, M Alassafi - Computers and Education: Artificial …, 2024 - Elsevier
With the advances in Artificial Intelligence (AI) and the increasing volume of online
educational data, Deep Learning techniques have played a critical role in predicting student …

Learning assessment in the age of big data: Learning analytics in higher education

S Caspari-Sadeghi - Cogent Education, 2023 - Taylor & Francis
Data-driven decision-making and data-intensive research are becoming prevalent in many
sectors of modern society, ie healthcare, politics, business, and entertainment. During the …

[HTML][HTML] Predicting student outcomes in online courses using machine learning techniques: A review

A Alhothali, M Albsisi, H Assalahi, T Aldosemani - Sustainability, 2022 - mdpi.com
Recent years have witnessed an increased interest in online education, both massive open
online courses (MOOCs) and small private online courses (SPOCs). This significant interest …

Integrating artificial intelligence and computational thinking in educational contexts: A systematic review of instructional design and student learning outcomes

X Weng, H Ye, Y Dai, O Ng - Journal of Educational …, 2024 - journals.sagepub.com
A growing body of research is focusing on integrating artificial intelligence (AI) and
computational thinking (CT) to enhance student learning outcomes. Many researchers have …

[HTML][HTML] DNA of learning behaviors: A novel approach of learning performance prediction by NLP

CC Lin, ESJ Cheng, AYQ Huang, SJH Yang - Computers and Education …, 2024 - Elsevier
In recent years, the field of learning analytics has gained significant attention as educators
and researchers seek to understand and optimize the learning process in online learning …

Reducing dropout rate through a deep learning model for sustainable education: long-term tracking of learning outcomes of an undergraduate cohort from 2018 to …

YT Shiao, CH Chen, KF Wu, BL Chen, YH Chou… - Smart Learning …, 2023 - Springer
In recent years, initiatives and the resulting application of precision education have been
applied with increasing frequency in Taiwan; the accompanying discourse has focused on …

Using an AI-based object detection translation application for English vocabulary learning

PL Liu, CJ Chen - Educational Technology & Society, 2023 - JSTOR
This study aimed to examine the effects of an AI-based object detection translation (AI-based
ODT) application (app) on EFL students' vocabulary learning. We developed a system that …

Delving into instructor‐led feedback interventions informed by learning analytics in massive open online courses

P Topali, IA Chounta, A Martínez‐Monés… - Journal of Computer …, 2023 - Wiley Online Library
Background Providing feedback in massive open online courses (MOOCs) is challenging
due to the massiveness and heterogeneity of learners' population. Learning analytics (LA) …