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Direct linkZi Xiang Poh; Ean Teng Khor – International Journal on E-Learning, 2024
Machine learning and data mining techniques have been widely used in educational settings to identify the important features that tend to influence students' learning performance and predict their future performance. However, there is little to no research done in the context of Singapore's education. Hence, this study aims to fill the gap by…
Descriptors: Learning Analytics, Goodness of Fit, Academic Achievement, Online Courses
Download full textKirály, Sándor; Nehéz, Károly; Hornyák, Olivér – Research in Learning Technology, 2017
Recently, massive open online courses (MOOCs) have been offering a new online approach in the field of distance learning and online education. A typical MOOC course consists of video lectures, reading material and easily accessible tests for students. For a computer programming course, it is important to provide interactive, dynamic, online coding…
Descriptors: Large Group Instruction, Online Courses, Distance Education, Educational Technology
Çakýroðlu, Ünal – South African Journal of Education, 2014
This study assesses the quality of distance learning (DL) in higher education assessed by considering the Seven Principles of Good Practice (SPGP). The participants were 77 second-year students from the Computer and Instructional Technologies Program (CEIT) of a Faculty of Education in Turkey. A questionnaire was developed in line with the SPGP…
Descriptors: Student Attitudes, Virtual Classrooms, Foreign Countries, Distance Education
Haas, Timothy C. – International Journal of Distance Education Technologies, 2016
Before massive numbers of students can take online courses for college credit, the challenges of providing tutoring support, answers to student-posed questions, and the control of cheating will need to be addressed. These challenges are taken up here by developing an online course delivery system that runs in a cluster computing environment and is…
Descriptors: Online Courses, Educational Technology, Technology Uses in Education, Electronic Learning
Wang, Fu Lee, Ed.; Fong, Joseph, Ed.; Kwan, Reggie, Ed. – Information Science Reference, 2010
Hybrid learning is now the single-greatest trend in education today due to the numerous educational advantages when both traditional classroom learning and e-learning are implemented collectively. This handbook collects emerging research and pedagogies related to the convergence of teaching and learning methods. This significant "Handbook of…
Descriptors: Electronic Learning, Knowledge Management, Higher Education, Programming Languages
Sánchez, Inmaculada Arnedillo, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2014
These proceedings contain the papers of the 10th International Conference on Mobile Learning 2014, which was organised by the International Association for Development of the Information Society, in Madrid, Spain, February 28-March 2, 2014. The Mobile Learning 2014 International Conference seeks to provide a forum for the presentation and…
Descriptors: Conference Papers, Telecommunications, Handheld Devices, Technology Uses in Education
Adams, Andrew; Williams, Shirley – Electronic Journal of e-Learning, 2006
Customer-Driven Development is a technique from the software development method called extreme Programming (XP) where customers (most importantly including end users of all levels) are closely involved in the software design and redesign process. This method of producing software suitable for customers has been adapted to help in the production of…
Descriptors: Computer Software, Computer Assisted Testing, Multiple Choice Tests, Questioning Techniques
