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Montoya, Diana; Vargas, Jorge Eduardo Hincapie; Sanchez Giraldo, Jonathan; Hincapié, Natalia Correa – Journal of Educators Online, 2020
This article presents the design of a pedagogical method to produce interactive learning objects that allow users to learn about new statistical process control techniques, such as Data Mining, in order to address the curricular needs of college students enrolled in academic programs related to quality engineering. Acquiring skills in this type of…
Descriptors: Resource Units, Teaching Methods, Data Analysis, Technology Uses in Education
Niemann, Katja; Wolpers, Martin – IEEE Transactions on Learning Technologies, 2015
In this paper, we introduce a new way of detecting semantic similarities between learning objects by analysing their usage in web portals. Our approach relies on the usage-based relations between the objects themselves rather then on the content of the learning objects or on the relations between users and learning objects. We then take this new…
Descriptors: Educational Technology, Technology Uses in Education, Resource Units, Data Collection
Martín-Monje, Elena; Castrillo, María Dolores; Mañana-Rodríguez, Jorge – Computer Assisted Language Learning, 2018
Data mining is increasing its popularity in the research of Technology-Enhanced Language Learning and Applied Linguistics in general. It enables a better understanding of progress, performance and possible pitfalls, which would be useful for language learners, teachers and researchers. Until recently it was an unexplored field, but it is expected…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Gustafson, Brenda; Mahaffy, Peter; Martin, Brian – Journal of Computers in Mathematics and Science Teaching, 2015
This paper focuses on one Grade 5 class (9 females; 9 males) who worked in student-pairs to view five digital learning object (DLO) lessons created by the authors and meant to introduce students to the nature of models, the particle nature of matter, and physical change. Specifically, the paper focuses on whether DLO design elements could assist…
Descriptors: Grade 5, Cooperative Learning, Resource Units, Scientific Concepts
Miller, L. Dee; Soh, Leen-Kiat; Samal, Ashok; Kupzyk, Kevin; Nugent, Gwen – Journal of Educational Data Mining, 2015
Learning objects (LOs) are important online resources for both learners and instructors and usage for LOs is growing. Automatic LO tracking collects large amounts of metadata about individual students as well as data aggregated across courses, learning objects, and other demographic characteristics (e.g. gender). The challenge becomes identifying…
Descriptors: Comparative Analysis, Data Analysis, Hierarchical Linear Modeling, Electronic Learning
Rolfe, Vivien – Open Praxis, 2016
For those receiving funding from the UK HEFCE-funded Open Educational Resource Programme (2009-2012), the sustainability of project outputs was one of a number of essential goals. Our approach for the hosting and distribution of health and life science open educational resources (OER) was based on the utilisation of the WordPress.org blogging…
Descriptors: Foreign Countries, Resource Units, Computer Uses in Education, Shared Resources and Services
Albers, Peggy; Pace, Christi L.; Odo, Dennis Murphy – Journal of Literacy Research, 2016
Digital technologies make possible new avenues for sharing and accessing literacy research and practices worldwide. Among the myriad of options available, web seminars have become popular online learning venues. The current investigation is part of Global Conversations in Literacy Research (GCLR), a longitudinal and qualitative study now in its…
Descriptors: Critical Literacy, Seminars, Computer Mediated Communication, Communities of Practice
Belikov, Olga Maria; Bodily, Robert – Open Praxis, 2016
In this paper, 218 U.S. faculty responses regarding Open Educational Resources (OER) were qualitatively analyzed. Ten categories emerged in the coding process. The top three categories that indicated barriers to the adoption of OER were "need more information" (faculty wanted more information before they would be willing to adopt OER),…
Descriptors: Incentives, Barriers, Shared Resources and Services, Resource Units
Cohen, Anat; Reisman, Sorel; Sperling, Barbra Bied – International Review of Research in Open and Distributed Learning, 2015
Learning object repositories are a shared, open and public space; however, the possibility and ability of personal expression in an open, global, public space is crucial. The aim of this study is to explore personal spaces in a big learning object repository as a facilitator for adoption of Open Educational Resources (OER) into teaching practices…
Descriptors: Resource Units, Shared Resources and Services, Access to Information, Information Storage
Ssajjakambwe, Paul; Setumba, Christopher; Kisaka, Stevens; Bahizi, Gloria; Vudriko, Patrick; Kabasa, John D.; Kaneene, John B. – Journal of Asynchronous Learning Networks, 2013
One of the cornerstones of the AgShare program is the application of an information loop of action research in the training of graduate students to generate new and practical educational materials and interventions for creating open education research (OER) modules for teaching at universities, and for designing interventions and training…
Descriptors: Foreign Countries, Agricultural Education, Resource Units, Shared Resources and Services
Hennessy, Sara; Haßler, Bjoern; Hofmann, Riikka – Technology, Pedagogy and Education, 2015
This article examines the supporting and constraining factors influencing professional learning about interactive teaching and mobile digital technology use in low-resourced basic schools in sub-Saharan Africa. It draws on a case study of iterative development and refinement of a school-based, peer-facilitated professional learning programme…
Descriptors: Foreign Countries, Teacher Education, Professional Development, Educational Technology
Simko, Marian; Bielikova, Maria – International Working Group on Educational Data Mining, 2009
To make learning process more effective, the educational systems deliver content adapted to specific user needs. Adequate personalization requires the domain of learning to be described explicitly in a particular detail, involving relationships between knowledge elements referred to as concepts. Manual creation of necessary annotations is in the…
Descriptors: Foreign Countries, Data Analysis, Individualized Instruction, Electronic Learning
Raddon, Mary-Beth; Raby, Rebecca; Sharpe, Erin – International Journal of Teaching and Learning in Higher Education, 2009
Challenged by some of the inherent difficulties in teaching qualitative data analysis, three instructors created an interactive digital learning object entitled "Sleuthing the Layered Text: Investigating Coding." In this paper we assess the effectiveness of that learning object as a tool for teaching qualitative coding. On the face of it, learning…
Descriptors: Qualitative Research, Data Analysis, Coding, Teaching Methods
Sánchez, Inmaculada Arnedillo, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2013
These proceedings contain the papers of the International Conference on Mobile Learning 2013, which was organised by the International Association for Development of the Information Society, in Lisbon, Portugal, March 14-16, 2013. The Mobile Learning 2013 International Conference seeks to provide a forum for the presentation and discussion of…
Descriptors: Conference Papers, Telecommunications, Technology Uses in Education, Educational Technology
Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed. – International Association for Development of the Information Society, 2015
These proceedings contain the papers of the International Conference e-Learning 2015, which was organised by the International Association for Development of the Information and Society and is part of the Multi Conference on Computer Science and Information Systems (Las Palmas de Gran Canaria, Spain, July 21-24, 2015). The e-Learning 2015…
Descriptors: Conference Papers, Failure, Electronic Learning, Success
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