Abstract
We examined the effectiveness of using the Assessment and LEarning in Knowledge Spaces (ALEKS) system as a method of strategic intervention in after-school settings to improve the mathematical skills of struggling students. The study randomly assigned students into a classroom that either worked with the ALEKS system individually on computers or were taught by teachers in an interactive classroom. Results from year one revealed that students randomly assigned to the ALEKS condition significantly out performed students assigned to the teacher condition on a state assessment test (TCAP). However, this was only if the students received sufficient exposure to the program.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
National Center for Education Statistics: National assessment of educational progress: The nation’s report card (2008)
National Mathematics Advisory Panel: Foundations for success: The final report of the national mathematics advisory panel. Washington, DC: US Department of Education (2008)
Schacter, J.: The impact of educational technology on student achievement: What the most current research has to say (ERIC Document Reproduction Service No. ED 430 537). Milken Exchange on Educational Technology, Santa Monica, CA (1999)
Dynarski, M., Agodini, R., Heaviside, S., Novak, T., Carey, N., Campuzano, L., et al.: Effectiveness of reading and mathematics software products: Findings from the first student cohort. U.S. Department of Education, IES, Washington, DC (2007)
Doignon, J.P., Falmagne, J.: Knowledge spaces. Springer, Berlin (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Craig, S.D. et al. (2011). Learning with ALEKS: The Impact of Students’ Attendance in a Mathematics After-School Program. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds) Artificial Intelligence in Education. AIED 2011. Lecture Notes in Computer Science(), vol 6738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21869-9_61
Download citation
DOI: https://doi.org/10.1007/978-3-642-21869-9_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21868-2
Online ISBN: 978-3-642-21869-9
eBook Packages: Computer ScienceComputer Science (R0)