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Ali, Amira D.; Hanna, Wael K. – Journal of Educational Computing Research, 2022
With the spread of the COVID-19 pandemic, many universities adopted a hybrid learning model as a substitute for a traditional one. Predicting students' performance in hybrid environments is a complex task because it depends on extracting and analyzing different types of data: log data, self-reports, and face-to-face interactions. Students must…
Descriptors: Predictor Variables, Academic Achievement, Blended Learning, Independent Study
Mirmoghtadaie, Zohresadat; Keshavarz, Mohsen; Mohammadimehr, Mojgan; Rasouli, Davood – International Review of Research in Open and Distributed Learning, 2023
In peer observation of teaching, an experienced colleague in the educational environment of a faculty member observes the educational performance of that faculty member and provides appropriate feedback. The use of peer review as an alternative source of evidence of teaching effectiveness is increasing. However, no research has been done in the…
Descriptors: Learning Management Systems, Academic Achievement, Peer Evaluation, Teacher Evaluation
Avogadro, Paolo; Calegari, Silvia; Dominoni, Matteo Alessandro – Interactive Technology and Smart Education, 2016
Purpose: A social learning management system (social LMS) is a tool which favors social interactions and allows scholastic institutions to supervise and guide the learning process. The inclusion of the social feature to a "normal" LMS leads to the creation of educational social networks (EduSN), where the students interact and learn. The…
Descriptors: Management Systems, Learning Processes, Socialization, Classification
Salazar, Omar Cuevas; López, Ramona Imelda García; Garcia, Javier José Vales; Medina, Isidro Roberto Cruz – International Journal of Higher Education, 2017
The tutorship program is aimed at supporting students throughout their university career and its objective is to prevent future problems of adaptation in the educational ambience as well as intervening in matters of academic achievement. At the Instituto Tecnológico de Sonora (Technological Institute of Sonora) (ITSON), the individual tutorship…
Descriptors: Academic Achievement, Tutorial Programs, Statistical Analysis, Foreign Countries
Kim, Jin-Young – Computers & Education, 2012
This study explores and describes different viewpoints on blended e-Education by using Q methodology to identify students' perspectives and classify them into perceptional types. It is also designed to examine possible relationships among learner's perceptional type, characteristics (i.e., academic self-efficacy, interest in blended e-Education,…
Descriptors: Foreign Countries, Undergraduate Students, College Instruction, Self Efficacy
Du, Chan – American Journal of Business Education, 2011
This paper examines whether a blended course that introduces lower-level education online learned by students before they come into class and after class online assignments and online discussions enhances student performance for an introductory principles of accounting course over the period 2009-2010. The blended course design includes (1)…
Descriptors: Accounting, Conventional Instruction, Blended Learning, Classification
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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