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Assessing conceptual mapping based active learning for advancing engineering diagnostic skills

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TLDR
Lin et al. as discussed by the authors received the Ph.D. degree in Systems and Industrial Engineering from the University of Arizona, Tucson, in 2005 and was with Indiana State University from 2005 to 2016, where he became associate professor of Electronics and Computer Engineering Technology.
Abstract
Yuetong Lin received the Ph.D. degree in Systems and Industrial Engineering from the University of Arizona, Tucson, in 2005. He was with Indiana State University from 2005 to 2016, where he became associate professor of Electronics and Computer Engineering Technology, and the program coordinator for Computer Engineering Technology. He joined Embry-Riddle Aeronautical University, Worldwide in September 2016 as an associate professor in the Department of Engineering and Technology.

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Citations
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Journal ArticleDOI

Measuring the Similarity of Concept Maps According to Pedagogical Criteria

TL;DR: Criteria to assess the similarity of two concept maps, also based on pedagogical features, with the aim of providing teachers with better support during the course creation process is proposed.
Journal ArticleDOI

Use of collaborative concept mapping in team diagnosis

TL;DR: Investigating the effects of collaborative concept mapping on team diagnosis in two fault situations with different complexity levels in a simulated nuclear power plant revealed that this tool significantly improved the diagnostic result score and shortened diagnosis time, and marginally but significantly increased the fault analysis score.
Proceedings ArticleDOI

Decision-Making Competencies in Engineering and Medicine

TL;DR: The current decision-making competencies that are imparted as part of the respective fields’ academic education are contrasted, the challenges in each discipline are identified, and opportunities for cross-pollination of better practices to develop decision- making competencies are identified.

Development of a Simplified Method for Representing Technological Systems for Non-Engineers

TL;DR: In this article, a set of techniques to describe how technological systems work by focusing on the function structures of technological systems is presented, which is based on the engineering design technique of functional analysis or functional decomposition.
References
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A WordNet-based semantic similarity measurement combining edge-counting and information content theory

TL;DR: A new approach for semantic similarity measuring which is based on edge-counting and information content theory is presented, and the proposed measure nonlinearly transforms the weighted shortest path length between the compared concepts to achieve the semantic similarity results.
Journal ArticleDOI

Strategies, Challenges and Prospects for Active Learning in the Computer-Based Classroom

TL;DR: The particular teaching approach developed for undergraduate electrical engineering courses is presented anditudinal assessment data regarding in-class utilization of computers in the context of achieving program and course learning outcomes are shared.
Journal Article

A New Assessment for Computer-based Concept Mapping

TL;DR: A new style of concept map is proposed, called the weighted concept map, which assigns a weight to each proposition in a concept map to represent its importance.
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