학술논문

Effectiveness of Abstraction in Problem Based Learning Knowledge Construction
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
Learning systems
Philosophical considerations
Shape
Cognitive processes
IEEE Sections
Education
abstraction
knowledge construction
problem based learning
problem solving
Language
Abstract
A problem based learning pedagogy has paved its pathway into teaching and learning standing as one of the effective contributors in the teaching and learning process. With the varying institutional philosophies, the methodology has ample scope for improvements when it comes to its design and delivery. This paper proposes a method of using abstraction from computational thinking to construct knowledge in problem based learning process. Arriving at principles is one of the major objectives of learning process and also contributes towards the self-directed learning. A paper piece activity with shapes and sizes is designed to create free and themed scenarios and further analyzed with various attributes and its contribution towards the knowledge construction process. The paper presents a model and discusses the various perspectives of the activity. The method is found to be an effective approach to design problems that contribute to holistic learning. Knowledge construction process can aid into an effective learning method.