Using an Error Classification Model to Target Remedial Interventions in Math (72302)

Session Information: Educational Policy, Leadership, Management & Administration
Session Chair: May Olaug Horverak

Thursday, 21 September 2023 11:25
Session: Session 2
Room: Gracia
Presentation Type:Oral Presentation

All presentation times are UTC + 2 (Europe/Madrid)

Using three case studies, this exploratory research verifies whether an error classification model used to target remedial intervention in mathematics is an effective method to improve the performance of students facing persistent mathematics difficulties. To verify the effectiveness of this new pedagogical method, its effect on the performance of two students in math, as well as the effect of the traditional method (non-use of the model) on the performance of one student in math was documented. This was done by using a standardized math test (pre and post intervention), an interview with the two resource-teachers using the new method and the observations during the standardised test. The results indicate improvements in performance, but also in execution speed, strategies used, work organization, and motivation for students for whom interventions were targeted based on the error classification model. Five months after the experiment, the resource teachers report still using the new method because it helps to target the appropriate intervention and seems to promote students’ progress.

Josée Nadeau, Université de Moncton, Canada
Manon LeBlanc, Université de Moncton, Canada

About the Presenter(s)
Professor Josée Nadeau is a University Assistant Professor/Lecturer at Université de Moncton in Canada

See this presentation on the full scheduleThursday Schedule

Conference Comments & Feedback

Place a comment using your LinkedIn profile


Share on activity feed

Powered by WP LinkPress

Share this Presentation

Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00