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Kokoç, Mehmet; Kara, Mehmet – Educational Technology & Society, 2021
The purposes of the two studies reported in this research are to adapt and validate the instrument of the Evaluation Framework for Learning Analytics (EFLA) for learners into the Turkish context, and to examine how metacognitive and behavioral factors predict learner performance. Study 1 was conducted with 83 online learners enrolled in a 16-week…
Descriptors: Learning Analytics, Electronic Learning, Measures (Individuals), Test Validity
Han, Feifei; Ellis, Robert – Australasian Journal of Educational Technology, 2020
This study combined the methods from student approaches to learning and learning analytics research by using both self-reported and observational measures to examine the student learning experience. It investigated the extent to which reported approaches and perceptions and observed online interactions are related to each other and how they…
Descriptors: Measurement Techniques, Observation, Learning Analytics, Data Collection
Koulocheri, Eleni; Xenos, Michalis – International Journal of Web-Based Learning and Teaching Technologies, 2019
Social networks have undoubtedly penetrated into our daily life, in such a degree that educational life could not avoid this effect, as proven by the many education-oriented social networks that have emerged. The education-oriented social network environment named HOU2LEARN, used by the Hellenic Open University, is one of these networks, providing…
Descriptors: Foreign Countries, Social Networks, Open Universities, College Students
Yilmaz, Ramazan; Keser, Hafize – Journal of Educational Computing Research, 2017
The aim of the present study is to reveal the impact of the interactive environment and metacognitive support (MS) in online learning on academic achievement and transactional distance (TD). The study is designed as 2 × 2 factorial design, and both qualitative and quantitative research techniques are used. The study was carried out on 127…
Descriptors: Interaction, Metacognition, Academic Achievement, Distance Education
Yildiz, Osman; Bal, Abdullah; Gulsecen, Sevinc – International Review of Research in Open and Distance Learning, 2013
It is essential to predict distance education students' year-end academic performance early during the course of the semester and to take precautions using such prediction-based information. This will, in particular, help enhance their academic performance and, therefore, improve the overall educational quality. The present study was on the…
Descriptors: Prediction, Academic Achievement, Distance Education, Integrated Learning Systems
Nunes, Miguel Baptista, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2019
These proceedings contain the papers and posters of the International Conference on e-Learning (EL) 2019, which was organised by the International Association for Development of the Information Society and co-organised by the Instituto Superior de Engenharia do Porto, in Porto, Portugal, July 17-19, 2019. The EL 2019 conference aims to address the…
Descriptors: Educational Technology, Technology Uses in Education, Mathematics Instruction, Cooperation
Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed.; Mascia, Maria Lidia, Ed. – International Association for Development of the Information Society, 2019
These proceedings contain the papers of the 16th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2019), held during November 7-9, 2019, which has been organized by the International Association for Development of the Information Society (IADIS) and co-organised by University Degli Studi di Cagliari, Italy.…
Descriptors: Teaching Methods, Cooperative Learning, Engineering Education, Critical Thinking
Yadin, Aharon; Or-Bach, Rachel – Journal of Information Systems Education, 2010
In this paper we describe an instructional tactic of individually assigned homework that promotes and strengthens individual learning processes. We claim that current emphasis on the benefits of collaborative learning belittles the importance of individual learning processes and reduces the opportunities to require and assess individual learning…
Descriptors: Homework, Research Tools, Dropout Rate, Learning Processes
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2018
The aim of the 2018 International Association for Development of the Information Society (IADIS) Cognition and Exploratory Learning in the Digital Age (CELDA) conference was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There have been advances in both cognitive…
Descriptors: Learning Processes, Teaching Methods, Educational Technology, Technology Uses in Education
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers