Année : 2016
Lieu de publication de l'article :

Résumé de l'article

We study the impact of an online tutoring program, AnimalWatch,for algebra readiness on mathematics achievements of grade 6 stu-dents. We use the data from a randomized experimental designconducted on 69 teachers and 2025 students in California in the aca-demic years 2011-2012. After a brief description of the experimentaldesign and the system implementation, we analyze the treatmenteffect of employing AnimalWatch using the popular hierarchicallinear models and find a small positive effect. We further use thelogged system usage data such as time spent in the system, mod-ules completed, correct/incorrect/no-answers records of students ineach login to analyze how system implementation and usage helpeddifferent students. Our results provide insights into the limitationsin implementing such a study in a real world setting and suggestsrecommendations for future research.CCS CONCEPTS• Applied computing → Computer-assisted instruction;KEYWORDSMath education, Randomized control trial (RCT), Hierarchical linearmodels, Online tutoring platformACM Reference Format:Sahba Akhavan Niaki, Clint P. George, George Michailidis, and Carole R.Beal. 2019. The Impact of an Online Tutoring Program for Algebra Readinesson Mathematics Achievements; Results of a Randomized Experiment. InThe 9th International Learning Analytics & Knowledge Conference (LAK19),March 4–8, 2019, Tempe, AZ, USA. ACM, New York, NY, USA, 10 pages.https://doi.org/10.1145/3303772.3303777∗Also with Indian Institute of Technology Goa.†Corresponding authorPermission to make digital or hard copies of all or part of this work for personal orclassroom use is granted without fee provided that copies are not made or distributedfor profit or commercial advantage and that copies bear this notice and the full citationon the first page. Copyrights for components of this work owned by others than ACMmust 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 afee. Request permissions from permissions@acm.org.LAK19, March 4–8, 2019, Tempe, AZ, USA© 2019 Association for Computing Machinery.ACM ISBN 978-1-4503-6256-6/19/03. . . $15.00https://doi.org/10.1145/3303772.3303777

Mots-clés

Interaction,humans,Intelligence amplification,Artificial intelligence,Educational data mining,On Intelligence,Programming paradigm,Faceted classification,