Uri Shafrir

Uri Shafrir is associate professor in Department of Human Development and Applied Psychology at Ontario Institute for Studies in Education and Director of Adult Study Skills Clinic at Faculty of Information of University of Toronto. His recent research focuses on concept parsing algorithms in various knowledge domains and on instructional methodologies for deep comprehension of conceptual content that enhance learning outcomes. Shafrir received doctorate in mathematical sciences from the University of California at Los Angeles and doctorate in developmental psychology from York University, Toronto. Shafrir was founder and director of the Institute of Planetary and Space Science at Tel-Aviv University; before moving to the University of Toronto he was Adjunct Professor at the University of Wisconsin and at Columbia University.

Publications

Pedagogy for Conceptual Thinking and Meaning Equivalence: Emerging Research and Opportunities
Masha Etkind, Uri Shafrir. © 2020. 154 pages.
Research in neuroscience and brain imaging show that exposure of learners to multi-semiotic problems enhance cognitive control of inter-hemispheric attentional processing in the...
Meaning Equivalence Reusable Learning Objects (MERLO) Access to Knowledge in Early Digital Era and Development of Pedagogy for Conceptual Thinking
Uri Shafrir. © 2020. 32 pages.
This chapter describes the effects of availability of digital knowledge on teaching, learning, and assessment, and the emergence of pedagogy for conceptual thinking with meaning...
Enhancing Conceptual Thinking With Interactive Concept Discovery (INCOD)
Masha Etkinda, Uri Shafrir. © 2020. 7 pages.
Interactive concept discovery (InCoD), based on concept parsing algorithms (CPA), is a novel learning tool in the context of pedagogy for conceptual thinking. It supports...
Concept Parsing Algorithms (CPA) for Textual Analysis and Discovery: Emerging Research and Opportunities
Uri Shafrir, Masha Etkind. © 2018. 139 pages.
Text analysis tools aid in extracting meaning from digital content. As digital text becomes more and more complex, new techniques are needed to understand conceptual structure....
Learning in the Digital Age with Meaning Equivalence Reusable Learning Objects (MERLO)
Masha Etkind, Ron S. Kenett, Uri Shafrir. © 2016. 24 pages.
In this chapter we describe a novel pedagogy for conceptual thinking and peer cooperation with Meaning Equivalence Reusable Learning Objects (MERLO) that enhances higher-order...
Concept Science Evidence-Based MERLO Learning Analytics
Uri Shafrir, Ron S. Kenett. © 2016. 24 pages.
This chapter is about Concept Science Evidence-Based MERLO Learning Analytics, an educational informatics system based on the teaching and learning methodologies described in the...
eLearning Tools for ePortfolios
Uri Shafrir, Masha Etkind, Jutta Treviranus. © 2006. 11 pages.
This chapter describes eLearning tools that focus the learner’s attention on meaning, rather than rote learning of text and rehearsing problem-solving procedures. These tools are...