학술논문

Effectiveness of Metaphors in Problem Based Learning
Document Type
Conference
Source
2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Delhi Section Flagship Conference (DELCON), 2023 2nd Edition of IEEE. :1-6 Feb, 2023
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Analytical models
Computational modeling
IEEE Sections
Design methodology
Buildings
Education
Pattern recognition
design
metaphors
pattern recognition
problem based learning
Language
Abstract
The paradigm of education has undergone a significant transition from traditional teacher-directed instruction to student-centered problem-based learning. In various contexts, problem-based learning, computational thinking, and metaphor-based learning approaches have been used to deliver an efficacious learning of the concept. This paper puts forward a model and its usage to build metaphor based case studies directing towards cognitive thinking, self-directed learning and lifelong learning. The model directly influences on the problem solving thought process. The paper further presents a case study on application of this model and its effectiveness validated through the embedded design method. The method appears to be effective in from model analysis and feedback collected. This directly connects to the pattern recognition paradigm of the computational thinking process.