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Leonardou, Angeliki; Rigou, Maria; Panagiotarou, Aliki; Garofalakis, John – Smart Learning Environments, 2022
The primary question of this study is whether OLM and OSLM mechanisms, when used in a digital game, offer higher motivation. Furthermore, the study investigates whether a game's aesthetics and mechanics support players' intrinsic motivation. Both claims are tested through the design, implementation and pilot use of the Multiplication Game (MG). MG…
Descriptors: Game Based Learning, Student Motivation, Student Attitudes, Video Games
Breien, Fredrik S.; Wasson, Barbara – British Journal of Educational Technology, 2021
Previous research shows that digital game-based learning (DGBL) can have positive effects on engagement, motivation and learning, and that using narratives may reinforce these effects. A systematic review identified 15 DGBL systems that report effects from their use of narratives. A gap in the field, however, is the lack of a common model to…
Descriptors: Game Based Learning, Learner Engagement, Student Motivation, Literature Reviews
Ma, Yuxin; Williams, Doug; Prejean, Louise – Journal of Interactive Learning Research, 2014
Advocates of electronic educational games often cite the work on motivation to support the use of games in education. However, motivation alone is inadequate to facilitate learning. Many of the educational games that focused their game design solely on the motivational effect failed to be either educational or entertaining. Theory and research is…
Descriptors: Educational Games, Computer Games, Video Games, Instructional Effectiveness
Sims, Christopher Otter – ProQuest LLC, 2012
This dissertation presents an ethnographic account of the launch of "The Downtown School for Design, Media, and Technology," one of the most prominent American school reform projects in recent years. Drawing on popular accounts about children and young people's pervasive affinity for digital media, and especially video games, the…
Descriptors: Ethnography, Educational Change, Educational Technology, Video Games
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
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
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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