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Seide, Svenja E.; Jensen, Katrin; Kieser, Meinhard – Research Synthesis Methods, 2020
The performance of statistical methods is often evaluated by means of simulation studies. In case of network meta-analysis of binary data, however, simulations are not currently available for many practically relevant settings. We perform a simulation study for sparse networks of trials under between-trial heterogeneity and including multi-arm…
Descriptors: Bayesian Statistics, Meta Analysis, Data Analysis, Networks
Imamoglu, Mehmet; Erbas, Cagdas; Dikmen, Cemal Hakan – Online Submission, 2022
The purpose of this study was to examine the studies related to augmented reality applications in sports science and to discuss the results based on this. Articles selected for analysis were found through searches journals in the Web of Science database from 1975 to 2018 were examined and searched using the keywords ("physical education"…
Descriptors: Trend Analysis, Educational Trends, Simulated Environment, Physical Education
Agbo, Friday Joseph; Sanusi, Ismaila Temitayo; Oyelere, Solomon Sunday; Suhonen, Jarkko – Education Sciences, 2021
This study investigated the role of virtual reality (VR) in computer science (CS) education over the last 10 years by conducting a bibliometric and content analysis of articles related to the use of VR in CS education. A total of 971 articles published in peer-reviewed journals and conferences were collected from Web of Science and Scopus…
Descriptors: Computer Simulation, Computer Science Education, Educational Research, Research Methodology
Günhan, Burak Kürsad; Röver, Christian; Friede, Tim – Research Synthesis Methods, 2020
Meta-analyses of clinical trials targeting rare events face particular challenges when the data lack adequate numbers of events for all treatment arms. Especially when the number of studies is low, standard random-effects meta-analysis methods can lead to serious distortions because of such data sparsity. To overcome this, we suggest the use of…
Descriptors: Meta Analysis, Medical Research, Drug Therapy, Bayesian Statistics
Pishtari, Gerti; Rodríguez-Triana, María J.; Sarmiento-Márquez, Edna M.; Pérez-Sanagustín, Mar; Ruiz-Calleja, Adolfo; Santos, Patricia; P. Prieto, Luis; Serrano-Iglesias, Sergio; Väljataga, Terje – British Journal of Educational Technology, 2020
Mobile and Ubiquitous Learning (m/u-learning) are finding an increasing adoption in education. They are often distinguished by hybrid learning environments that encompass elements of formal and informal learning, in activities that happen in distributed settings (indoors and outdoors), across physical and virtual spaces. Despite their purported…
Descriptors: Telecommunications, Handheld Devices, Teaching Methods, Learning Processes
Breznau, Nate – International Journal of Social Research Methodology, 2016
In this paper, I extend the concept of observer effect into the realm of country-level secondary data analysis. When analyzing what appear to be the same secondary data using the same methods, macro-comparative researchers arrive at different results. I argue that this is a product of idiosyncratic variation directly or indirectly produced by the…
Descriptors: Observation, Error of Measurement, Data Analysis, Comparative Analysis
Fidan, Mustafa; Tuncel, Meric – Cypriot Journal of Educational Sciences, 2018
The purpose of this study is to investigate the specific features of the articles on augmented reality (AR) published in the journals of education indexed in the SSCI database between 2012 and 2017. In this context, the articles were examined in terms of their years of publication, number of authors, countries, educational disciplines/fields,…
Descriptors: Simulated Environment, Educational Research, Journal Articles, Computer Simulation
Berg, Alan M.; Mol, Stefan T.; Kismihók, Gábor; Sclater, Niall – Journal of Learning Analytics, 2016
This paper details the anticipated impact of synthetic "big" data on learning analytics (LA) infrastructures, with a particular focus on data governance, the acceleration of service development, and the benchmarking of predictive models. By reviewing two cases, one at the sector-wide level (the Jisc learning analytics architecture) and…
Descriptors: Educational Research, Data Collection, Data Analysis, Higher Education
Bacca, Jorge; Baldiris, Silvia; Fabregat, Ramon; Graf, Sabine; Kinshuk – Educational Technology & Society, 2014
In recent years, there has been an increasing interest in applying Augmented Reality (AR) to create unique educational settings. So far, however, there is a lack of review studies with focus on investigating factors such as: the uses, advantages, limitations, effectiveness, challenges and features of augmented reality in educational settings.…
Descriptors: Educational Technology, Computer Simulation, Simulated Environment, Teaching Methods
Demirer, Veysel; Erbas, Cagdas – Turkish Online Journal of Distance Education, 2016
This study aims to review studies on virtual learning environments in Turkey through the content analysis method. 63 studies consisting of thesis, articles and proceedings published in Turkish and English between 1996-2014 years were analyzed. It was observed that "Second Life" was mostly preferred as the virtual learning environment.…
Descriptors: Foreign Countries, Virtual Classrooms, Electronic Learning, Educational Trends