Element matching in concept maps

Marshall, Byron; Madhusudan, Therani

doi:10.1145/996350.996391

Cited by 7 publications

(6 citation statements)

References 8 publications

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“…Following [6,36], to produce a favourable outcome we consider that training is a key factor. Because concept maps can be easily explained to learners, we arranged training and map construction at the same time.…”

Section: Concept Maps As a Student Toolmentioning

confidence: 99%

Concept Maps for Teaching, Learning, and Assessment in Electronics

Vodovozov

Raud²

2015

Education Research International

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The paper describes how to employ the concept mapping technology in engineering education in the field of Electronics. The overall knowledge domain ontology in the field is shown. It is underlined that the concept maps serve as a suitable tool to support instructors in promoting students' comprehension of the studying material and in improving their understanding of new concepts. Introduction of an original educational thesaurus is proposed. Such a thesaurus helps learners to see what they have acquired from the lessons. It supports them in making connections between new and prior concepts and reinforces knowledge integration by such a promotion. The developed concept maps are regarded as a valuable instrument of many assessment procedures. They represent learners' knowledge providing informative and reflective feedbacks tailored to learners' personal styles and requests.

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Section: Concept Maps As a Student Toolmentioning

confidence: 99%

Concept Maps for Teaching, Learning, and Assessment in Electronics

Vodovozov

Raud²

2015

Education Research International

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“…The competency profile will represent the knowledge and competencies associated with a user. Similarity measures algorithm (Merali and Davies, 2001;Marshall and Madhusudan, 2004) will be used in deriving the competencies scale of each user. By having competencies scale, it provides an overview of employees' competencies in organization which is valuable for the management in assessing their productivity.…”

Section: Resultsmentioning

confidence: 99%

Capturing Tacit Knowledge for Assessing Employees' Competency and Productivity

Jabar¹,

Sidi²,

Selamat³

et al. 2011

American Journal of Economics and Business Administration

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Problem statement: Organization has to evaluate the competencies of their workers to improve organizational productivity. However, this is difficult because organizations have difficulties to capture and retain knowledge especially tacit knowledge of their employees. Approach: The study reviewed selected literature on management knowledge and employers competencies. It also reviewed existing frameworks in knowledge management focusing on the capturing and storing tacit knowledge. Results: Results of this study will include theoretical concept for capturing tacit knowledge and storing them besides developing a model for measuring employee's competencies in the organization. Conclusion/Recommendation: This study contributes in assessing knowledge workers performance to improve their productivity in an organization.

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“…Supporting concept map creation and their automatic analysis is an active research area in the digital library community [14,15]. Recent research shows promise for the development of algorithms for automatically performing node and link element matching in order to assess student-produced concept maps computationally [14].…”

Section: Related Workmentioning

confidence: 99%

“…Recent research shows promise for the development of algorithms for automatically performing node and link element matching in order to assess student-produced concept maps computationally [14]. Marshall et al developed algorithms to compare studentproduced maps to a 'gold-standard' expert-produced map to characterize the degree of alignment with a numerical score.…”

Section: Related Workmentioning

confidence: 99%

Towards automatic conceptual personalization tools

Ahmad

Chica

Butcher

et al. 2007

Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries

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This paper describes the results of a study designed to validate the use of domain competency models to diagnose student scientific misconceptions and to generate personalized instruction plans using digital libraries. Digital library resources provided the content base for human experts to construct a domain competency model for earthquakes and plate tectonics encoded as a knowledge map. The experts then assessed student essays using comparisons against the constructed domain competency model and prepared personalized instruction plans using the competency model and digital library resources. The results from this study indicate that domain competency models generated from select digital library resources may provide the desired degree of content coverage to support both automated diagnosis and personalized instruction in the context of nationally-recognized science learning goals. These findings serve to inform the design of personalized instruction tools for digital libraries.

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Element matching in concept maps

Cited by 7 publications

References 8 publications

Concept Maps for Teaching, Learning, and Assessment in Electronics

Concept Maps for Teaching, Learning, and Assessment in Electronics

Capturing Tacit Knowledge for Assessing Employees' Competency and Productivity

Towards automatic conceptual personalization tools

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