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Short-term efficacy and usage recommendations for a large-scale implementation of the math-whizz tutor

Mavrikis, M; Schlepps, DS; Mubeen, J; (2018) Short-term efficacy and usage recommendations for a large-scale implementation of the math-whizz tutor. In: Artificial Intelligence in Education. (pp. pp. 452-457). Springer Nature: Cham, Switzerland. Green open access

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Abstract

This paper adds to the evidence of the efficacy of intelligent tutoring systems (ITS) in mathematics learning by evaluating a large-scale intervention at the state of Aguascalientes, Mexico. We report the results of a quasi-experimental study, addressing at the same a particular request of the decision-makers responsible for the rollout to provide, from early stages of the intervention, independent evidence of the efficacy of Math-Whizz Tutor beyond its internal metrics, and recommendations in terms of the expected weekly usage levels to guide the blended learning approach.

Type: Proceedings paper
Title: Short-term efficacy and usage recommendations for a large-scale implementation of the math-whizz tutor
Event: 19th International Conference, AIED 2018,
Location: London, UK
Dates: 27th-30th June 2018
ISBN-13: 978-3-319-93846-2
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-93846-2_85
Publisher version: https://doi.org/10.1007/978-3-319-93846-2_85
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Intelligent tutoring systems, Evaluation, Large-scale
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media
URI: https://discovery.ucl.ac.uk/id/eprint/10085396
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