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

Published: 13 March 2017 Publication 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.

References

[1]
W3C. 2005. Introduction to Web Accessibility. Retrieved August 30, 2016 from https://www.w3.org/WAI/intro/accessibility.php
[2]
Avila, C., Baldiris, S., Fabregat, R. and Graf, S. 2016. Cocreation and Evaluation of Inclusive and Accessible Open Educational Resources: A Mapping Toward the IMS Caliper. IEEE RITA. 11, 3 (Aug. 2016), 167--176.
[3]
Bakharia, A., Corrin, L., de Barba, P., Kennedy, G., Gašević, D., Mulder, R., Williams, D., Dawson, S. and Lockyer, L. 2016. A conceptual framework linking learning design with learning analytics. Proceedings of the Sixth International Conference on Learning Analytics & Knowledge (New York, New York, USA, 2016), 329--338.
[4]
Baldiris, S., Avila, C., Fabregat, R., Potes, E., Cuesta, J., Muñoz, T. and Cardona, S. 2015. CO-CREARIA: Modelo de Co-Creación de REA Inclusivos y Accesibles. La experiencia de la maestría en TIC de la Universidad Pontificia Bolivariana. Revista Ingeniería E Innovación. 3, 2 (2015), 37--47.
[5]
Brooks, C., Erickson, G., Greer, J. and Gutwin, C. 2014. Modelling and quantifying the behaviours of students in lecture capture environments. Computers & Education. 75, (Jun. 2014), 282--292.
[6]
Commonwealth of Learning. 2011. Guidelines for open educational resources (OER) in higher education. Commonwealth of Learning, Vancouver and UNESCO.
[7]
Dawson, S. and Siemens, G. 2014. Analytics to literacies: The development of a learning analytics framework for multiliteracies assessment. The International Review of Research in Open and Distance Learning. 15, 4 (Aug. 2014), 284--305.
[8]
Graf, S., Ives, C., Rahman, N. and Ferri, A. 2011. AAT - A Tool for Accessing and Analysing Students ' Behaviour Data in Learning Systems. 1st International Conference on Learning Analytics and Knowledge (2011), 174--179.
[9]
Hoyer, R.W. and Hoyer, B.B.Y. 2001. What Is Quality? Quality progress. 34, 7 (2001), 53--62.
[10]
Karkalas, S., Mavrikis, M. and Labs, O. 2016. Towards analytics for educational interactive e-books. Proceedings of the Sixth International Conference on Learning Analytics & Knowledge (New York, New York, USA, 2016), 143--147.
[11]
Leacock, T.L. and Nesbit, J.C. 2007. A Framework for Evaluating the Quality of Multimedia Learning Resources. Journal of Educational Technology & Society. 10, 2 (2007), 44--59.
[12]
Lockyer, L., Heathcote, E. and Dawson, S. 2013. Informing pedagogical action: Aligning learning analytics with learning design. American Behavioral Scientist. 57, 10 (2013), 1439--1459.
[13]
Prasad, D. and Usagawa, T. 2014. Towards development of OER derived custom-built open textbooks: A baseline survey of university teachers at the University of the South Pacific. The International Review of Research in Open and Distance Learning. 15, 4 (Aug. 2014), 226--247.
[14]
Rodríguez-Triana, M.J., Martínez-Monés, A., Asensio-Pérez, J.I. and Dimitriadis, Y. 2015. Scripting and monitoring meet each other: Aligning learning analytics and learning design to support teachers in orchestrating CSCL situations. British Journal of Educational Technology. 46, 2 (Mar. 2015), 330--343.
[15]
Yuan, M. and Recker, M. 2015. Not All Rubrics Are Equal: A Review of Rubrics for Evaluating the Quality of Open Educational Resources. The International Review of Research in Open and Distributed Learning. 16, 5 (Sep. 2015).

Cited By

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  • (2020)Evaluation of a learning analytics tool for supporting teachers in the creation and evaluation of accessible and quality open educational resourcesBritish Journal of Educational Technology10.1111/bjet.1294051:4(1019-1038)Online publication date: 19-Apr-2020
  • (2019)An Architectural Perspective of Learning AnalyticsMachine Learning Paradigms10.1007/978-3-030-13743-4_7(115-130)Online publication date: 17-Mar-2019

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LAK '17: Proceedings of the Seventh International Learning Analytics & Knowledge Conference
March 2017
631 pages
ISBN:9781450348706
DOI:10.1145/3027385
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 March 2017

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Author Tags

  1. competences
  2. learning analytics
  3. open educational resources
  4. quality
  5. teachers
  6. web accessibility

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LAK '17
LAK '17: 7th International Learning Analytics and Knowledge Conference
March 13 - 17, 2017
British Columbia, Vancouver, Canada

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LAK '17 Paper Acceptance Rate 36 of 114 submissions, 32%;
Overall Acceptance Rate 236 of 782 submissions, 30%

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Cited By

View all
  • (2020)Evaluation of a learning analytics tool for supporting teachers in the creation and evaluation of accessible and quality open educational resourcesBritish Journal of Educational Technology10.1111/bjet.1294051:4(1019-1038)Online publication date: 19-Apr-2020
  • (2019)An Architectural Perspective of Learning AnalyticsMachine Learning Paradigms10.1007/978-3-030-13743-4_7(115-130)Online publication date: 17-Mar-2019

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