poster

Learning analytics community exchange: evidence hub

Authors:

Rebecca Ferguson,

Doug ClowAuthors Info & Claims

LAK '16: Proceedings of the Sixth International Conference on Learning Analytics & Knowledge

Pages 520 - 521

https://doi.org/10.1145/2883851.2883878

Published: 25 April 2016 Publication History

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Abstract

This poster sets out the background and development of the LACE Evidence Hub, a site that gathers evidence about learning analytics in an accessible form. The poster also describes the functionality of the site, summarises its quantitative and thematic content to date, and assesses the state of evidence. In addition, it encourages people to add to and make use of the Hub.

References

[1]

Bienkowski, M., Feng, M., and Means, B. 2012. Enhancing teaching and learning through educational data mining and learning analytics: An issue brief. US Department of Education, Office of Educational Technology.

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De Liddo, A. and Buckingham Shum, S., 2013. The Evidence Hub: harnessing the collective intelligence of communities to build evidence-based knowledge. Paper presented at Large Scale Ideation and Deliberation Workshop (Munich, Germany, 29 June-2 July 2013).

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De Liddo, A., Buckingham Shum, S., Mcandrew, P., and Farrow, R., 2012. The Open Education Evidence Hub: a collective intelligence tool for evidence based policy. Paper presented at Global 2012 Conference (Cambridge, UK, 16-18 April 2012).

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De Los Arcos, B., Farrow, R., Perryman, L.-A., Pitt, R., and Weller, M. 2014. OER Evidence Report 2013-2014 OER Research Hub.

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Derntl, M., Günnemann, N., and Klamma, R., 2013. A dynamic topic model of learning analytics research. In proceedings of LAK Data Challenge: LAK13 (Leuven, Belgium, 2013), CEUR. URL: http://ceur-ws.org/Vol974/lakdatachallenge2013_01.pdf.

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Siemens, G., Dawson, S., and Lynch, G. 2013. Improving the quality of productivity of the higher education sector: Policy and strategy for systems-level deployment of learning analytics. SoLAR.

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Taibi, D. and Dietze, S., 2013. Fostering analytics on learning analytics research: the LAK dataset. In proceedings of LAK Data Challenge: LAK13 (Leuven, Belgium, 2013), CEUR. URL: http://ceur-ws.org/Vol974/lakdatachallenge2013_preface.pdf.

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Zouaq, A., Joksimovic, S., and Gasevic, D., 2013. Ontology learning to analyze research trends in learning analytics publications. In proceedings of LAK Data Challenge: LAK13, (Leuven, Belgium, 2013), CEUR. URL: http://bit.ly/1kN2Y9W.

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Tirado-Olivares SCózar-Gutiérrez RGonzález-Calero JDorotea N(2024)Evaluating the Impact of Learning Management Systems in Geographical Education in Primary School: An Experimental Study on the Importance of Learning Analytics-Based FeedbackSustainability10.3390/su1607261616:7(2616)Online publication date: 22-Mar-2024
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Okoye KHussein HArrona-Palacios AQuintero HOrtega LSanchez AOrtiz EEscamilla JHosseini S(2022)Impact of digital technologies upon teaching and learning in higher education in Latin America: an outlook on the reach, barriers, and bottlenecksEducation and Information Technologies10.1007/s10639-022-11214-128:2(2291-2360)Online publication date: 15-Aug-2022
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Okoye KArrona-Palacios ACamacho-Zuñiga CAchem JEscamilla JHosseini S(2022)Towards teaching analytics: a contextual model for analysis of students’ evaluation of teaching through text mining and machine learning classificationEducation and Information Technologies10.1007/s10639-021-10751-527:3(3891-3933)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1007/s10639-021-10751-5
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Learning analytics community exchange: evidence hub
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Information

Published In

LAK '16: Proceedings of the Sixth International Conference on Learning Analytics & Knowledge

April 2016

567 pages

ISBN:9781450341905

DOI:10.1145/2883851

General Chairs:
Dragan Gašević
University of Edinburgh, United Kingdom
,
Grace Lynch
Society for Learning Analytics Research
,
Program Chairs:
Shane Dawson
University of South Australia
,
Hendrik Drachsler
University of the Netherlands
,
Carolyn Penstein Rosé
Carnegie Mellon University

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 April 2016

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Seventh Framework Programme

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LAK '16

LAK '16: 6th International Conference on Learning Analytics and Knowledge

April 25 - 29, 2016

Edinburgh, United Kingdom

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LAK '16 Paper Acceptance Rate 36 of 116 submissions, 31%;

Overall Acceptance Rate 236 of 782 submissions, 30%

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Tirado-Olivares SCózar-Gutiérrez RGonzález-Calero JDorotea N(2024)Evaluating the Impact of Learning Management Systems in Geographical Education in Primary School: An Experimental Study on the Importance of Learning Analytics-Based FeedbackSustainability10.3390/su1607261616:7(2616)Online publication date: 22-Mar-2024
https://doi.org/10.3390/su16072616
Okoye KHussein HArrona-Palacios AQuintero HOrtega LSanchez AOrtiz EEscamilla JHosseini S(2022)Impact of digital technologies upon teaching and learning in higher education in Latin America: an outlook on the reach, barriers, and bottlenecksEducation and Information Technologies10.1007/s10639-022-11214-128:2(2291-2360)Online publication date: 15-Aug-2022
https://doi.org/10.1007/s10639-022-11214-1
Okoye KArrona-Palacios ACamacho-Zuñiga CAchem JEscamilla JHosseini S(2022)Towards teaching analytics: a contextual model for analysis of students’ evaluation of teaching through text mining and machine learning classificationEducation and Information Technologies10.1007/s10639-021-10751-527:3(3891-3933)Online publication date: 1-Apr-2022
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Hoyos AVelasquez J(2020)Teaching Analytics: Current Challenges and Future DevelopmentIEEE Revista Iberoamericana de Tecnologias del Aprendizaje10.1109/RITA.2020.297924515:1(1-9)Online publication date: Feb-2020
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Tlili AEssalmi FJemni MKinshuk PChen N(2019)A Complete Validated Learning Analytics FrameworkInternational Journal of Information and Communication Technology Education10.4018/IJICTE.201907010415:3(42-59)Online publication date: Jul-2019
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Recommendations

Effects of Learning Analytics on Students' Self-Regulated Learning in Flipped Classroom

Setting learning analytics in context: overcoming the barriers to large-scale adoption

Learning analytics: Expanding the frontier

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