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Dirk Tempelaar; Bart Rienties; Bas Giesbers; Quan Nguyen – Journal of Learning Analytics, 2023
Learning analytics needs to pay more attention to the temporal aspect of learning processes, especially in self-regulated learning (SRL) research. In doing so, learning analytics models should incorporate both the duration and frequency of learning activities, the passage of time, and the temporal order of learning activities. However, where this…
Descriptors: Time Factors (Learning), Learning Analytics, Models, Statistical Analysis
Héctor J. Pijeira-Díaz; Shashank Subramanya; Janneke van de Pol; Anique de Bruin – Journal of Computer Assisted Learning, 2024
Background: When learning causal relations, completing causal diagrams enhances students' comprehension judgements to some extent. To potentially boost this effect, advances in natural language processing (NLP) enable real-time formative feedback based on the automated assessment of students' diagrams, which can involve the correctness of both the…
Descriptors: Learning Analytics, Automation, Student Evaluation, Causal Models
Spector, Michael, Ed.; Kumar, Vivekanandan, Ed.; Essa, Alfred, Ed.; Huang, Yueh-Min, Ed.; Koper, Rob, Ed.; Tortorella, Richard A. W., Ed.; Chang, Ting-Wen, Ed.; Li, Yanyan, Ed.; Zhang, Zhizhen, Ed. – Lecture Notes in Educational Technology, 2018
This book demonstrates teachers' and learners' experiences with big data in education; education and cloud computing; and new technologies for teacher support. It also discusses the advantages of using these frontier technologies in teaching and learning and predicts the future challenges. As such, it enables readers to better understand how…
Descriptors: Educational Technology, Technological Advancement, Data Use, Technology Uses in Education
Atherton, Graeme – Sutton Trust, 2020
This report, authored by Graeme Atherton, examines how universities who are seen as leading internationally and/or in their own national contexts are supporting greater access and success for learners from low-income and other marginalised groups. What can English universities learn from global institutions? By looking at how they work with…
Descriptors: Access to Education, Success, At Risk Students, Low Income Students
Alpiste Penalba, Francisco; Rojas-Rajs, Teresa; Lorente, Pedro; Iglesias, Francisco; Fernández, Joaquín; Monguet, Josep – Interactive Learning Environments, 2013
The Opera eLearning project developed a solution for opera singing distance lessons at the graduate level, using high bandwidth to deliver a quality audio and video experience that has been evaluated by singing teachers, chorus and orchestra directors, singers and other professional musicians. Prior to finding a technological model that suits the…
Descriptors: Opera, Singing, Video Technology, Audio Equipment
van Loon, Anne-Marieke; Ros, Anje; Martens, Rob – Journal of Technology and Teacher Education, 2013
This study examines whether teachers are able to apply the principles of autonomy support and structure support in designing digital problem based learning (PBL) tasks. We examine whether these tasks are more autonomy- and structure-supportive and whether primary and secondary school students experience greater autonomy, competence, and motivation…
Descriptors: Foreign Countries, Problem Based Learning, Teacher Education, Student Attitudes
King, Roger – Universities UK, 2008
The growth of private higher education has come as a surprise to most governments, which have tried to catch up in their regulatory and funding policymaking. In China, Malaysia and South Africa they have given legal recognition to previously disallowed private higher education and this has helped to fuel its subsequent growth. Some governments…
Descriptors: Foreign Countries, Private Colleges, Proprietary Schools, Models
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers