Madhavan, K., & Xian, H., & Johri, A., & Vorvoreanu, M., & Jesiek, B. K., & Wankat, P. C. (2011, June), Understanding the Engineering Education Research Problem Space Using Interactive Knowledge Networks  Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BC. 10.18260/1-2--18514

\bibitem{asee_peer_18514}
  Madhavan, K., \& Xian, H., \& Johri, A., \& Vorvoreanu, M., \& Jesiek, B. K., \& Wankat, P. C. (2011, June), \emph{Understanding the Engineering Education Research Problem Space Using Interactive Knowledge Networks}
  Paper presented at 2011 ASEE Annual Conference \& Exposition, Vancouver, BC.
  10.18260/1-2--18514

Krishna Madhavan, Hanjun Xian, Aditya Johri, Mihaela Vorvoreanu, Brent K. Jesiek, and Phillip C. Wankat.  "Understanding the Engineering Education Research Problem Space Using Interactive Knowledge Networks".  2011 ASEE Annual Conference & Exposition, Vancouver, BC, 2011, June.  ASEE Conferences, 2011.  https://strategy.asee.org/18514 Internet.  07 Jun, 2024

\bibitem{asee_peer_18514}
  Krishna Madhavan, Hanjun Xian, Aditya Johri, Mihaela Vorvoreanu, Brent K. Jesiek, and Phillip C. Wankat.
  "Understanding the Engineering Education Research Problem Space Using Interactive Knowledge Networks".
  \emph{2011 ASEE Annual Conference \& Exposition, Vancouver, BC, 2011, June}.
  ASEE Conferences, 2011.
  https://strategy.asee.org/18514 Internet.  07 Jun, 2024

@INPROCEEDINGS{asee_peer_18514
author = "Krishna Madhavan, Hanjun Xian, Aditya Johri, Mihaela Vorvoreanu, Brent K. Jesiek, and Phillip C. Wankat"
title = "Understanding the Engineering Education Research Problem Space Using Interactive Knowledge Networks"
booktitle = "2011 ASEE Annual Conference \& Exposition"
year = "2011"
month = "June"
address = "Vancouver, BC"
publisher = "ASEE Conferences"
note = {https://strategy.asee.org/18514}
number = {10.18260/1-2--18514}
}

TY  - CPAPER
AB  -   Understanding the Engineering Education Research Problem Space Using                     Interactive Knowledge NetworksFor any knowledge intensive undertaking – such as a discipline – it is critical to chart its birthand growth to understand where the discipline stands and what innovative endeavors lead to thecreative accomplishments currently witnessed in its knowledge products. In this paper wedescribe the research and development of Interactive Knowledge Networks for EngineeringEducation Research (iKNEER) – an online knowledge platform for the engineering educationresearch community. iKNEER aims to provide visual overviews of the emergence and growth ofthe discipline of engineering education research anytime, anywhere based on user queries thatare made through an easy-to-use interface.Researchers, educators, and other stakeholders in the engineering education research communityhave long called for the construction of platforms that provide longitudinal overview of theproblem space to better understand the emergence and growth of engineering education research.Numerous research publications published by the National Science Foundation, the NationalAcademy of Engineering, and the ASEE call for the use of ultra-scale data analysis to understandnot only the evolution of engineering education as a discipline, but also to pioneer new cyber-enabled methods that can form the core of an engineering education researcher’s toolset.Traditionally the use of computational techniques has been the domain of a few computerscientists. iKNEER changes this dynamic significantly to allow users to drive the exploration ofthe problem space.Using a theoretical model that combines ultra large-scale data mining techniques, networkmapping algorithms, and time-series analysis of knowledge product evolution, we attempt tocharacterize and provide the type of insights required by the community by utilizing ultra-scaleknowledge product such as publications in journals and conferences in engineering education,the National Science Foundation grant proposals, and articles published by the NationalAcademy of Engineering. In the full paper, we describe our processes for data acquisition,citation data mining, and interactive visualization. To provide a non-redundant dataset of author,keyword, and affiliation information, we have developed an intelligent correction system tofacilitate data calibration. In order to assign keywords to those documents without author-provided keywords, we implemented a compute intensive tool to generate machine-providedkeywords by choosing the most significant words in each document. Finally, we visually presentthe evolution of engineering education research and allow community members in engineeringeducation to access and interact with knowledge products through a web browser.As of September 2010, iKNEER includes a total of 35,591 documents from 21 differentpublications including Journal of Engineering Education, International Journal of EngineeringEducation, Frontiers in Education, ASEE conference proceedings, and IEEE Transactions onEducation. We cover a long time period for each dataset with the oldest document dating back to1965. Our document repository is continuously expanding to reach broader inclusion ofpublication sources and longer coverage. Out of the whole dataset, we have developed thecapability to understand the scientific profile of 27,102 authors and 30,568 keywords. We arecurrently working on closing the gap between the number of documents acquired and thosehaving been processed.Figure 1. Collaboration Network (Circular) for Karl Smith generated real-time by iKNEER.Brightness of lines between nodes (authors) indicates number of papers between the authorsFigure 2. Query suggestion automatically generated as users type “ci” into the search box
AU  - Krishna Madhavan
AU  - Hanjun Xian
AU  - Aditya Johri
AU  - Mihaela Vorvoreanu
AU  - Brent K. Jesiek
AU  - Phillip C. Wankat
CY  - Vancouver, BC
DA  - 2011/06/26
PB  - ASEE Conferences
TI  - Understanding the Engineering Education Research Problem Space Using Interactive Knowledge Networks
UR  - https://strategy.asee.org/18514
DO  - 10.18260/1-2--18514
ER  -