Educational data mining and learning analytics for 21st century higher education: A review and synthesis

H Aldowah, H Al-Samarraie, WM Fauzy - Telematics and Informatics, 2019 - Elsevier
The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …

Learning analytics in online learning environment: A systematic review on the focuses and the types of student-related analytics data

SN Kew, Z Tasir - Technology, Knowledge and Learning, 2022 - Springer
The application of learning analytics in an online learning environment is increasing among
researchers in educational fields because it can assist in providing standard and …

Problem-based learning in live online classes: Learning achievement, problem-solving skill, communication skill, and interaction

A Aslan - Computers & Education, 2021 - Elsevier
The purpose of the study is to investigate the effect of first aid training in live online classes
using the problem-based learning approach on students' learning achievement, problem …

Factors associated with teachers' competence to develop students' information literacy: A multilevel approach

D Wu, C Zhou, Y Li, M Chen - Computers & Education, 2022 - Elsevier
Cultivating students' information literacy is becoming increasingly important for teachers in
the 21st century; however, teachers' competence to develop students' information literacy …

On the use of soft computing methods in educational data mining and learning analytics research: A review of years 2010–2018

A Charitopoulos, M Rangoussi… - International Journal of …, 2020 - Springer
The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …

Investigating the impact of artificial intelligence in education sector by predicting student performance

H Pallathadka, B Sonia, DT Sanchez… - Materials Today …, 2022 - Elsevier
Abstract Machine learning is an integral part of artificial intelligence. Machine learning is
capable of classifying the existing data and can predict and forecast results. The evaluation …

The Evaluation of Collaborative Synchronous Learning Environment within the Framework of Interaction and Community of Inquiry: An Experimental Study.

A Aslan - Journal of Pedagogical Research, 2021 - ERIC
This study aims to investigate a collaborative synchronous learning environment in terms of
students' community of inquiry perceptions (cognitive, social, and teaching presences) and …

Role of machine learning in improving tourism and education sector

ML Bangare, PM Bangare, E Ramirez-Asis… - Materials Today …, 2022 - Elsevier
Tourism is viewed as a major economy booster. Although tourism has a beneficial influence
on the economy in terms of national income generation, job creation, tax revenue generation …

Application of blending learning based on network learning space in teaching design of digital art

J Wang - International Journal of Emerging Technologies in …, 2019 - search.proquest.com
In traditional face-to-face teaching mode, the teacher plays the leading role in the learning
process, while students are in the subordinate status. Such learning mode can be easily …

Fuzzy Logic and Machine Learning‐Enabled Recommendation System to Predict Suitable Academic Program for Students

T Kumar, KS Sankaran, M Ritonga… - Mathematical …, 2022 - Wiley Online Library
In recent years, educational data mining has gained a considerable lot of interest as a
consequence of the large number of pedagogical content that can be gathered from a range …