IMOD-Ont

Towards an Ontology for Instructional Module Design

Srividya Bansal, Odesma Dalrymple

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

1 Citation (Scopus)

Abstract

An information technology (IT) tool that can guide STEM educators through the complex task of course design development, ensure tight alignment between various components of an instructional module, and provide relevant information about research-based pedagogical and assessment strategies will be of great value. A Semantic Web-based software tool called Instructional Module Development (IMOD) System, currently under development, is built upon a framework for outcome-based course design. It uses Semantic Web technologies to provide intelligent interactions with the users, dictate a course design process in conformance with the underlying framework, checks for omissions and inconsistencies in the design, provides feedback to the user on their course design, and recommends relevant assessment and pedagogical approaches along with help on how they are implemented. In this paper, we present an ontology called IMOD-Ont that aims at describing and formalizing entities in the domain of instructional design and is used by the IMOD system. IMOD-Ont ontology complements existing metadata schemas and linked data approaches in the field of technology-enhanced learning that focus on describing learning resources and educational content that is available on the Web. The goal is to make the semantic data generated from course designs created through the IMODS tool available as linked education data on the web.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages354-357
Number of pages4
ISBN (Print)9781509006618
DOIs
StatePublished - Mar 22 2016
Event10th IEEE International Conference on Semantic Computing, ICSC 2016 - Laguna Hills, United States
Duration: Feb 3 2016Feb 5 2016

Other

Other10th IEEE International Conference on Semantic Computing, ICSC 2016
CountryUnited States
CityLaguna Hills
Period2/3/162/5/16

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Ontology
Semantic Web
Metadata
Information technology
Education
Semantics
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Keywords

  • instructional design
  • ontology design
  • semantic web
  • STEM education
  • technology-enhanced learning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems

Cite this

Bansal, S., & Dalrymple, O. (2016). IMOD-Ont: Towards an Ontology for Instructional Module Design. In Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016 (pp. 354-357). [7439363] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSC.2016.98

IMOD-Ont : Towards an Ontology for Instructional Module Design. / Bansal, Srividya; Dalrymple, Odesma.

Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 354-357 7439363.

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

Bansal, S & Dalrymple, O 2016, IMOD-Ont: Towards an Ontology for Instructional Module Design. in Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016., 7439363, Institute of Electrical and Electronics Engineers Inc., pp. 354-357, 10th IEEE International Conference on Semantic Computing, ICSC 2016, Laguna Hills, United States, 2/3/16. https://doi.org/10.1109/ICSC.2016.98
Bansal S, Dalrymple O. IMOD-Ont: Towards an Ontology for Instructional Module Design. In Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 354-357. 7439363 https://doi.org/10.1109/ICSC.2016.98
Bansal, Srividya ; Dalrymple, Odesma. / IMOD-Ont : Towards an Ontology for Instructional Module Design. Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 354-357
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