A Study of Metacognitive Problem Solving in Undergraduate Engineering Students

Lisa Jo Elliott, Heather C. Lum, Faisal Aqlan, Richard Zhao, Catherine D. Lasher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

One of the key challenges in engineering education is the problem of teaching future engineers’ professional skills. Engineering students need to know what they do and do not know. This is termed metacognition. There is still quite a bit that we do not know about how metacognition develops in classroom settings. In this study, we discuss an exploration of these issues using both physical and virtual reality (VR) simulations of manufacturing systems; which are performed by student teams. We discuss the incorporation of measures of metacognition into a model of conflict and error to predict what types of experiences may be most helpful to produce improved metacognition in engineering students.

Original languageEnglish (US)
Title of host publicationAdvances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2019 International Conference on Human Factors in Training, Education, and Learning Sciences
EditorsTareq Ahram, Waldemar Karwowski, Salman Nazir
PublisherSpringer Verlag
Pages95-102
Number of pages8
ISBN (Print)9783030201340
DOIs
StatePublished - 2020
EventAHFE International Conference on Human Factors in Training, Education, and Learning Sciences, 2019 - Washington D.C., United States
Duration: Jul 24 2019Jul 28 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume963
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE International Conference on Human Factors in Training, Education, and Learning Sciences, 2019
Country/TerritoryUnited States
CityWashington D.C.
Period7/24/197/28/19

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • General Computer Science

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