A Decision Tree Approach to Predict the Online Information Search Performance of 8- 13 Year Old Students in French-Speaking Belgium

In French-speaking Belgium, one of the new tasks of the teacher will be to develop the informational skills of learners. Therefore, the main purpose of this research is to identify the variables that affect the performance of online information retrieval so that teachers can plan appropriate teaching activities. The statistical 􏱉􏰥􏰦􏱊􏱊􏰩􏱋􏰴􏰦􏱌􏰩􏰈􏱍 and Regression Tree (CART) technique was used to characterize the activity of 260 students aged 8 to 13 according to their results in three search tasks. The results show that certain navigational strategies, as well as the different individual characteris... Mehr ...

Verfasser: Kumps Audrey
Temperman Gaëtan
De Lièvre Bruno
Dokumenttyp: Artikel
Erscheinungsdatum: 2022
Schlagwörter: decision tree / Improving classroom teaching / Information literacy / quantitative analysis / predictive analysis
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-27385146
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://zenodo.org/record/5994110

In French-speaking Belgium, one of the new tasks of the teacher will be to develop the informational skills of learners. Therefore, the main purpose of this research is to identify the variables that affect the performance of online information retrieval so that teachers can plan appropriate teaching activities. The statistical 􏱉􏰥􏰦􏱊􏱊􏰩􏱋􏰴􏰦􏱌􏰩􏰈􏱍 and Regression Tree (CART) technique was used to characterize the activity of 260 students aged 8 to 13 according to their results in three search tasks. The results show that certain navigational strategies, as well as the different individual characteristics of the participants in our study, can be considered as key factors that modulate performance. The different findings from our analyses allow us to put forward concrete avenues for the mastery of this skill in an educational context.