Towards a Framework of Using Knowledge Tools for Teaching by Solving Problems in Technology-Enhanced Learning Environment
PROCEEDINGS
Sergei Kostousov, Dmitry Kudryavtsev
International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in Digital Age (CELDA),
Abstract
Problem solving is a critical competency for modern world and also an effective way of learning. Education should not only transfer domain-specific knowledge to students, but also prepare them to solve real-life problems--to apply knowledge from one or several domains within specific situation. Problem solving as teaching tool is known for a long time, but our aim is to enhance it by suggesting knowledge tools for different stages of problem solving process. Knowledge tools involve students in the process of knowledge construction that contributes to understanding of subject and help students to organize and present their own knowledge. An overview of software, which help to apply the suggested knowledge tools, is presented as well. Finally we illustrate our approach with two examples of teaching school and university students. [For the complete proceedings, see ED579395.]
Citation
Kostousov, S. & Kudryavtsev, D. (2017). Towards a Framework of Using Knowledge Tools for Teaching by Solving Problems in Technology-Enhanced Learning Environment. Presented at International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in Digital Age (CELDA) 2017. Retrieved August 9, 2024 from https://www.learntechlib.org/p/189726/.
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Keywords
References
View References & Citations Map- De Corte E., Verschaffel L., Masui C. (2004). The CLIA-model: A framework for designing powerful learning environments for thinking and problem solving. European Journal of Psychology of Education, 19(4), 365-384.
- Gavrilova T., Leshcheva I., Strakhovich E. (2011). On the use of visual conceptual models in teaching// Bulletin of St. Petersburg State University, a series of management, № 4, 125-151. (in Russian)
- Gavrilova, T. (2010). Knowledge engineering for non-engineers. Intelligent Information Processing, IFIP Advances in Information and Communication Technology, Springer, 340, 225-233.
- Jonassen D.H. (1997). Instructional design models for well-structured and III-structured problem-solving learning outcomes. Educational Technology Research and Development, 45(1), 65-94.
- Jonassen, D.H., Carr, C., & Yueh, H.P. (1998). Computers as mindtools for engaging learners in critical thinking. TechTrends, 43(2), 24-32.
- Jonassen D.H. (2000). Toward a design theory of problem solving. Educational technology research and development, 48(4), 63-85.
- Jonassen D.H. (2004). Learning to solve problems: An instructional design guide (Vol. 6). John Wiley& Sons.
- Jonassen, D.H. (2005). Tools for representing problems and the knowledge required to solve them. In Knowledge and information visualization, Springer Berlin Heidelberg, 82-94.
- Kalontarov J., Kandy P.A. (2014). Basic directions and tendencies in the process of using of informational technology in education. STUDIA, (5), 75 (in Russian).
- Kim M.C., & Hannafin, M.J. (2011). Scaffolding problem solving in technology-enhanced learning environments (TELEs): Bridging research and theory with practice. Computers& Education, 56(2), 403-417.
- Kitchner K.S. (1983). Cognition, metacognition, and epistemic cognition: A three-level model of cognitive processing. Human Development, 26, 222-232.
- Koznov, D., & Pliskin, M. (2008). Computer-supported collaborative learning with mind-maps. Communications in Computer and Information Science, 17, 478-489.
- Kudryavtsev D., Gavrilova T. (2017). From Anarchy to System: A Novel Classification of Visual Knowledge Codification Techniques. Knowledge and Process Management, 24(1), 3-13.
- Mayer R.E. (1989). Models for understanding. Review of Educational Research, 59(1), 43-64.
- Wang M., Wu B., Chen N.S., Spector J.M. (2013). Connecting problem-solving and knowledge-construction processes in a visualization-based learning environment. Computers& Education, 68, 293-306.
- Wood P.K. (1983). Inquiring systems and problem structures: Implications for cognitive development. Human Development, 26, 249-265.
- Young R. (2010). Knowledge management tools and techniques manual. Asian Productivity Organization.
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