• DocumentCode
    3079948
  • 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
  • fYear
    2013
  • fDate
    15-18 July 2013
  • Firstpage
    379
  • Lastpage
    381
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ICALT.2013.116
  • Filename
    6601958