Title :
Technology-Enhanced Learning for Improving Complex Problem-Solving Expertise
Author :
Bei Yuan ; Minhong Wang ; Kushniruk, Andre ; Jun Peng
Author_Institution :
Fac. of Educ., Univ. of Hong Kong, Hong Kong, China
Abstract :
Learning through complex problem solving has received increased attention in educational areas. This is particularly the case in challenging domains such as medical education, where problem-based learning (PBL) is widely adopted and found to be effective in helping students to improve their abilities in clinical reasoning, problem solving, and self-directed and cooperative learning. However, there are concerns about PBL´s effects on development of systemic knowledge structures and efficient reasoning processes, which are critical for expertise development. To address the challenge, a technology-enhanced learning environment is proposed in this study, aiming to improve students´ complex problem-solving expertise by scaffolding their problem solving or reasoning processes as well as knowledge construction with support of expert knowledge.
Keywords :
educational technology; engineering education; PBL effect; clinical reasoning; complex problem-solving expertise; cooperative learning; problem-based learning; self-directed learning; systemic knowledge structures; technology-enhanced learning environment; Cognition; Context; Educational institutions; Medical diagnostic imaging; Problem-solving; complex problem solving; expertise development; technology-enhanced learning;
Conference_Titel :
Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference on
Conference_Location :
Beijing
DOI :
10.1109/ICALT.2013.116