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Umer, Rahila; Susnjak, Teo; Mathrani, Anuradha; Suriadi, Lim – Interactive Learning Environments, 2023
Predictive models on students' academic performance can be built by using historical data for modelling students' learning behaviour. Such models can be employed in educational settings to determine how new students will perform and in predicting whether these students should be classed as at-risk of failing a course. Stakeholders can use…
Descriptors: Prediction, Student Behavior, Models, Academic Achievement
Quadir, Benazir; Chen, Nian-Shing; Isaias, Pedro – Interactive Learning Environments, 2022
The purpose of this study is to review journal papers on educational big data research published from 2010 to 2018. A total of 143 papers were selected. The papers were characterized based on three dimensions: (a) educational goals; (b) educational problems addressed; and (c) big data analytical techniques used. A qualitative content analysis…
Descriptors: Data, Educational Research, Educational Objectives, Data Analysis
Mouna Denden; Ahmed Tlili; Nian-Shing Chen; Mourad Abed; Mohamed Jemni; Fathi Essalmi – Interactive Learning Environments, 2024
Gamification has gained an increasing attention from researchers and practitioners in various domains including education as it can increase learners' engagement and motivation. However, little is known about how educational gamification experiences can be influenced by learners' characteristics. Therefore, this study provides a systematic…
Descriptors: Gamification, Educational Games, Educational Research, Data Collection
Baek, Clare; Doleck, Tenzin – Interactive Learning Environments, 2023
To examine the similarities and differences between two closely related yet distinct fields -- Educational Data Mining (EDM) and Learning Analytics (LA) -- this study conducted a literature review of the empirical studies published in both fields. We synthesized 492 LA and 194 EDM articles published during 2015-2019. We compared the similarities…
Descriptors: Data Analysis, Learning Analytics, Literature Reviews, Educational Research
Gurcan, Fatih; Cagiltay, Nergiz Ercil – Interactive Learning Environments, 2023
Today's dynamic distance learning environments offer a flexible, comfortable, and lifelong learning experience, independent of space and time. In this way, it also supports and develops existing traditional training programs. The increasing importance of knowledge, skills and learning in today's technological life cycle has led to an increase and…
Descriptors: Educational Research, Trend Analysis, Distance Education, Data Analysis
Rozita Tsoni; Georgia Garani; Vassilios S. Verykios – Interactive Learning Environments, 2024
New challenges in education demand effective solutions. Although Learning Analytics (LA), Educational Data Mining (EDM) and the use of Big Data are often presented as a panacea, there is a lot of ground to be covered in order for the EDM to answer the real questions of educators. An important step toward this goal is to implement holistic…
Descriptors: Data Use, Distance Education, Learning Analytics, Educational Research
Buitrago-Ropero, Mauricio Esteban; Ramírez-Montoya, María Soledad; Laverde, Andrés Chiappe – Interactive Learning Environments, 2023
Digital footprints (DF) offer relevant information about educational activities and processes related to strategies of academic assessment, identification of skills and psychological traits of students, and permanence and dropout trends, etc. This study analyzes scientific evidence on the use of DF in education, and shows the results of a…
Descriptors: Educational Technology, Technology Uses in Education, Learning Analytics, Social Networks
Boticki, Ivica; Akçapinar, Gökhan; Ogata, Hiroaki – Interactive Learning Environments, 2019
In this paper log data on e-book usage is used as part of a learning analytics approach to generate user models which describe university students' characteristics in multiple dimensions. E-book usage is logged and analysed to extract information on how users use e-books for academic purposes. Two cases contributing to user modelling are…
Descriptors: Electronic Publishing, Data Collection, Data Analysis, Books
Rustam Shadiev; Suping Yi – Interactive Learning Environments, 2023
This study was to review empirical studies on UAV usage in education. 43 papers were selected and reviewed with respect to the following dimensions: (1) publication time and source, (2) methodology in reviewed studies, and (3) main findings reported by researchers. The results showed that the highest number of published articles was between 2018…
Descriptors: Aviation Technology, Aviation Education, Educational Research, Undergraduate Students
Mavroudi, Anna; Giannakos, Michail; Krogstie, John – Interactive Learning Environments, 2018
Learning Analytics (LA) and adaptive learning are inextricably linked since they both foster technology-supported learner-centred education. This study identifies developments focusing on their interplay and emphasises insufficiently investigated directions which display a higher innovation potential. Twenty-one peer-reviewed studies are…
Descriptors: Student Centered Learning, Evidence Based Practice, Technology Uses in Education, Student Diversity
Lu, Owen H. T.; Huang, Jeff C. H.; Huang, Anna Y. Q.; Yang, Stephen J. H. – Interactive Learning Environments, 2017
As information technology continues to evolve rapidly, programming skills become increasingly crucial. To be able to construct superb programming skills, the training must begin before college or even senior high school. However, when developing comprehensive training programmers, the learning and teaching processes must be considered. In order to…
Descriptors: Learner Engagement, Outcomes of Education, Online Courses, Educational Research
Vivakaran, Mangala Vadivu; Maraimalai, Neelamalar – Interactive Learning Environments, 2019
The growing popularity of Social Networking Sites (SNS) that are embedded with networked infrastructures serves as an ideal platform for developing a networked learning environment connecting geographically dispersed learners. Unlike the traditional learning systems which provide only limited sources of data, the learners engaged in virtual…
Descriptors: Social Media, Social Networks, Web 2.0 Technologies, Educational Research