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Gopinath, B.; Santhi, R. – Higher Education for the Future, 2021
In this article, Fishbone-based advanced computational thinking (FACT) pedagogy is proposed by fusing fishbone pedagogy and computational thinking pedagogy for enhancing teaching-learning process while teaching engineering and science courses, for engineering and science students respectively. The proposed FACT pedagogy has been implemented using…
Descriptors: Problem Solving, Thinking Skills, Computation, Visual Learning
Ferguson, Rebecca – Commonwealth of Learning, 2019
This guide explores how pedagogy and vision underpin successful TEL [technology-enabled learning] innovation, as well as the other building blocks that are needed. It also outlines recent pedagogical innovations in TEL that can be trialled in any classroom where learners have access to smartphones and the Internet.
Descriptors: Technology Uses in Education, Distance Education, Educational Innovation, Educational Technology
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Dickes, Amanda C.; Kamarainen, Amy; Metcalf, Shari J.; Gün-Yildiz, Semiha; Brennan, Karen; Grotzer, Tina; Dede, Chris – British Journal of Educational Technology, 2019
Research in the field of technology-enhanced learning has argued for a broader scope of technology-supported learning environments to include the design of activity systems which position students as active thinkers by reorganizing learning with technology around the practices of scholarly communities. In the context of elementary ecosystems…
Descriptors: Blended Learning, Technology Uses in Education, Computer Simulation, Simulated Environment
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Dinov, Ivo D.; Christou, Nicolas – Teaching Statistics: An International Journal for Teachers, 2009
The Statistics Online Computational Resource (http://www.SOCR.ucla.edu) provides one of the largest collections of free Internet-based resources for probability and statistics education. SOCR develops, validates and disseminates two core types of materials--instructional resources and computational libraries. (Contains 2 figures.)
Descriptors: Statistics, Probability, Computation, Blended Learning