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ATCE: an analytics tool to trace the creation and evaluation of inclusive and accessible open educational resources

Published:13 March 2017Publication History

ABSTRACT

The creation of Inclusive and Accessible Open Educational Resources (IA-OERs) is a challenge for teachers because they have to invest time and effort to create learning contents considering students' learning needs and preferences. An IA-OER is characterized by its alignment with the Universal Design Learning (UDL) principles, the quality on its contents and the web accessibility as a way to address the diversity of students. Creating an IA-OER with these characteristics is not a straightforward task, especially when teachers do not have enough information/feedback to make decisions on how to improve the learning contents. In this paper we introduce ATCE - an Analytics Tool to Trace the Creation and Evaluation of IA-OERs. This tool focuses in particular on the accessibility and quality of the IA-OERs. ATCE was developed as a module within the ATutor Learning Management System (LMS). An analytics dashboard with visualizations related to the teachers' competences in the creation and evaluation of IA-OERs was included as part of the tool. This paper also presents a use case of the visualizations obtained from the creation and evaluation of one IA-OER after using our analytics tool.

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          cover image ACM Other conferences
          LAK '17: Proceedings of the Seventh International Learning Analytics & Knowledge Conference
          March 2017
          631 pages
          ISBN:9781450348706
          DOI:10.1145/3027385

          Copyright © 2017 ACM

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          Publication History

          • Published: 13 March 2017

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          LAK '17 Paper Acceptance Rate36of114submissions,32%Overall Acceptance Rate236of782submissions,30%

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