Project Summary
Project summary TELSON project has aimed at innovating teaching and learning practice by using PBL and TBL, and transferring best practices from universities which had already gone through a successful implementation of authentic, motivating, competency-based learning styles into their curricula. A unique feature of this project was the use of virtual scenarios in both of the collaborative learning variants. In 2020, the project was concluded with a paper describing multi-institutional investigation of students’ and other stakeholders’ perspectives on PBL and TBL. [Read more about the project]
Collaborative learning methods
The concept of knowledge societies brings the need of progress in pedagogy, as the traditional approach to teaching consisting of in-class time delivering content does not allow students to achieve deeper learning. There is a broad range of instructional approaches which support collaborative learning (CL), i.e. activities involving joint intellectual effort by students who work together in groups, test their own understanding and examine the understanding of others. A widely accepted and widespread CL activity is Problem-Based Learning (PBL) developed in 1960’s. It is a student-centric learning activity in which an educator only acts as a moderator supporting the discussion around a problem to be solved by a small group of students. The group determines all necessary learning outcomes for solving the problem, conducts research around them and discusses the arisen issues together. A relatively new development in higher education is team-based learning (TBL), which has formed an alternative to PBL. Both PBL and TBL emphasize student engagement and active participation in learning, and adopt the general blended learning approach by mixing face-to-face instruction with online resources.
Events
Virtual Scenarios
Selected Topics from the Analysis and Processing of Medical Image Data
Native title: Vybraná témata z analýzy a zpracování medicínských obrazových dat
Author: Daniel Schwarz, MUNI
Reviewer: Eva Koriťáková, MUNI
Course: Mathematical Biology
Subject: Linear and adaptive processing of data
Learning activity: PBL
Canonical Correlation Analysis
Native title: Kanonická korelační analýza
Author: Eva Koriťáková, MUNI
Reviewer: Daniel Schwarz, MUNI
Course: Mathematical Biology
Subject: Multivariate Methods ‐ Practices
Learning activity: TBL
ANOVA for Multidimensional Data
Native title: ANOVA pro vícerozměrná data
Author: Eva Koriťáková, MUNI
Reviewer: Daniel Schwarz, MUNI
Course: Mathematical Biology
Subject: Analysis and Classification of Data
Learning activity: TBL
Image Data Processing in the Spatial Domain
Native title: Zpracování obrazových dat v prostorové doméně
Author: Vendula Churová, MUNI
Reviewer: Roman Vyškovský, MUNI
Course: Mathematical Biology
Subject: Time Series
Learning activity: PBL