Williams, C. B., & Moore, J. P., & Johri, A., & Pierce, R. S., & North, C. (2012, June), Advancing Personalized Engineering Learning via an Adaptive Concept Map  Paper presented at 2012 ASEE Annual Conference & Exposition, San Antonio, Texas. 10.18260/1-2--20897

\bibitem{asee_peer_20897}
  Williams, C. B., \& Moore, J. P., \& Johri, A., \& Pierce, R. S., \& North, C. (2012, June), \emph{Advancing Personalized Engineering Learning via an Adaptive Concept Map}
  Paper presented at 2012 ASEE Annual Conference \& Exposition, San Antonio, Texas.
  10.18260/1-2--20897

Christopher B. Williams, Jacob Preston Moore, Aditya Johri, Robert Scott Pierce, and Chris North.  "Advancing Personalized Engineering Learning via an Adaptive Concept Map".  2012 ASEE Annual Conference & Exposition, San Antonio, Texas, 2012, June.  ASEE Conferences, 2012.  https://peer.asee.org/20897 Internet.  17 May, 2024

\bibitem{asee_peer_20897}
  Christopher B. Williams, Jacob Preston Moore, Aditya Johri, Robert Scott Pierce, and Chris North.
  "Advancing Personalized Engineering Learning via an Adaptive Concept Map".
  \emph{2012 ASEE Annual Conference \& Exposition, San Antonio, Texas, 2012, June}.
  ASEE Conferences, 2012.
  https://peer.asee.org/20897 Internet.  17 May, 2024

@INPROCEEDINGS{asee_peer_20897
author = "Christopher B. Williams, Jacob Preston Moore, Aditya Johri, Robert Scott Pierce, and Chris North"
title = "Advancing Personalized Engineering Learning via an Adaptive Concept Map"
booktitle = "2012 ASEE Annual Conference \& Exposition"
year = "2012"
month = "June"
address = "San Antonio, Texas"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/20897}
number = {10.18260/1-2--20897}
}

TY  - CPAPER
AB  -    ADVANCING PERSONALIZED ENGINEERING LEARNING VIA AN                 ADAPTIVE CONCEPT MAP    There is a well recognized need to produce innovative engineers that have a strongfundamental understanding of engineering but are equally adept at applying their knowledge innovel domains. Concept maps are effective interventions in providing students with a holisticunderstanding of a domain while also allowing understanding of relationships among parts andacross the engineering curricula. Yet when the domain of application is large, concept mapsbecome overburdened with too much information and complexity. A function of the individuallearners’ cognitive load abilities, this phenomenon (termed “map shock”) results in studentdisengagement and reduction of expected learning gains. This limitation prevents the creation ofconcept maps that provide a unified framework for engineering knowledge across courses andcurricula. Thus, existing approaches to implementing expert-generated concept maps as contentrepositories are limited by: (i) an inability to effectively convey a large quantity of informationand (ii) an inability to adapt the presentation of information for each learner’s individualcognitive needs.    To address these limitations, we apply theoretical research on adaptive expertise, conceptmaps, and information visualization to design, develop and assess a cyberlearning tool thatadvances personalized learning and helps students develop deep and broad conceptualknowledge. The proposed visualization tool, the “adaptive concept map,” overcomes theproblem of map shock by providing the user control over the quantity and level of detail ofinformation displayed, thus providing a means for navigating content in a manner that isadaptable to their personal cognitive load needs.    The adaptive concept map tool is being developed initial for engineering statics content. Itwill be provided to students at two universities to be used as a supplemental “digital textbook.”The tool will be evaluated by comparing measures of conceptual understanding and cognitiveload between experimental groups (those with access to the adaptive map tool) and controlgroups (those without access to the adaptive map tool).    This poster presents the progress that has been made with this project thus far. The contentand software development processes is outlined and a working prototype of the tool isshowcased. A section of the content development process, the development of a concept map ofall engineering statics content, will be discussed in more detail in another paper at thisconference. Preliminary results from pilot testing will also be presented.
AU  - Christopher B. Williams
AU  - Jacob Preston Moore
AU  - Aditya Johri
AU  - Robert Scott Pierce
AU  - Chris North
CY  - San Antonio, Texas
DA  - 2012/06/10
PB  - ASEE Conferences
TI  - Advancing Personalized Engineering Learning via an Adaptive Concept Map
UR  - https://peer.asee.org/20897
DO  - 10.18260/1-2--20897
ER  -