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Dina Fitria Murad; Meta Amalya Dewi; Arbaiah Inn; Silvia Ayunda Murad; Noor Udin; Taufik Darwis – Journal of Educators Online, 2025
This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…
Descriptors: Electronic Learning, Data Collection, Context Effect, Learning Processes
Altinay, Fahriye, Ed. – IntechOpen, 2020
This book has three sections on the role of technology in education. The first section covers the merits of online learning and environment. The second section of the book gives insight on new technologies in learning and teaching. The third section of the book underlines the importance of new tendencies for the technology in education. There is a…
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Electronic Learning
Lim, Lisa-Angelique; Dawson, Shane; Gaševic, Dragan; Joksimovic, Srecko; Fudge, Anthea; Pardo, Abelardo; Gentili, Sheridan – Australasian Journal of Educational Technology, 2020
Although technological advances have brought about new opportunities for scaling feedback to students, there remain challenges in how such feedback is presented and interpreted. There is a need to better understand how students make sense of such feedback to adapt self-regulated learning processes. This study examined students' sense-making of…
Descriptors: Individualized Instruction, Learning Analytics, Data Collection, Student Attitudes
Zhang, Ruofei; Zou, Di; Xie, Haoran; Au, Oliver Tat Sheung; Wang, Fu Lee – Knowledge Management & E-Learning, 2020
This study presents a systematic review of previous research on ebook-based language learning. E-book-based language learning has been increasingly investigated in the field of language education, whereas previous review studies of relevant literature were relatively low in volume and incomprehensive from aspects of research participants and…
Descriptors: Second Language Learning, English (Second Language), Electronic Learning, Handheld Devices
Kuhnel, Matthias; Seiler, Luisa; Honal, Andrea; Ifenthaler, Dirk – Interactive Technology and Smart Education, 2018
Purpose: The purpose of the study was to test the usability of the MyLA app prototype by its potential users. Furthermore, the Web app will be introduced in the framework of "Mobile Learning Analytics", a cooperation project between the Cooperative State University Mannheim and University of Mannheim. The participating universities focus…
Descriptors: Electronic Learning, Higher Education, Data Collection, Usability
Ola, Ade G.; Bai, Xue; Omojokun, Emmanuel E. – Research in Higher Education Journal, 2014
Over the years, companies have relied on On-Line Analytical Processing (OLAP) to answer complex questions relating to issues in business environments such as identifying profitability, trends, correlations, and patterns. This paper addresses the application of OLAP in education and learning. The objective of the research presented in the paper is…
Descriptors: Profiles, Database Management Systems, Information Management, Progress Monitoring
Sánchez, Inmaculada Arnedillo, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2018
These proceedings contain the papers of the 14th International Conference on Mobile Learning 2018, which was organised by the International Association for Development of the Information Society, in Lisbon, Portugal, April 14-16, 2018. The Mobile Learning 2018 Conference seeks to provide a forum for the presentation and discussion of mobile…
Descriptors: Electronic Learning, Educational Research, Data Collection, Data Analysis
Duflo, Annie; Kiessel, Jessica – Society for Research on Educational Effectiveness, 2014
Rigorous evidence from around the world has shown that significant improvements in learning can be obtained at comparatively low cost by spending more, focused time ensuring that the bottom half of the class in the early grades does not get left behind. The authors present results from the Teacher Community Assistant Initiative (TCAI) that tests…
Descriptors: Foreign Countries, Remedial Instruction, Remedial Programs, Developing Nations
Parker, Tiffany, Ed. – Online Submission, 2015
The NEAIR 2015 Conference Proceedings is a compilation of papers presented at the Burlington, VT, conference. Papers in this document include:(1) Strategies to Analyze Course and Teaching Evaluation Data (Kati Li); (2) Using a Mixed Methods Approach to Assess a Leadership Mentoring Program (Betty Harper); (3) Flagship Institutions and the Struggle…
Descriptors: Conference Papers, Evaluation Methods, Research Methodology, Educational Research
Lamanauskas, Vincentas, Ed. – International Baltic Symposium on Science and Technology Education, 2019
These proceedings contain papers of the 3rd International Baltic Symposium on Science and Technology Education (BalticSTE2019) held in Šiauliai, Lithuania, June 17-19, 2019. This symposium was organized by the Scientific Methodical Center "Scientia Educologica" in cooperation with the Institute of Education, Šiauliai University. The…
Descriptors: Science Education, Technology Education, Formative Evaluation, Chemistry
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
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection