Students’ Perceived Constructivist Learning Environment

2018 ◽  
Vol 34 (6) ◽  
pp. 432-443 ◽  
Author(s):  
Dorit Alt

Abstract. Theoretical classifications suggest three key tenets of the constructivist learning environment: constructivist task, teacher-student interaction, and social activity. This study assessed two scales, measuring the perceptions of high school and college students of their constructivist learning environment. Facet theory (FT) approach with smallest space analysis (SSA) as well as confirmatory factor analysis (CFA) were used to confirm the structure of the constructivist learning theory and to test the structural validity of scores on two scales. In the first study, data were gathered by using the Constructivist Learning Environment Survey (CLES). In this study, compared with the CFA result, the SSA gave additional information showing the existence of the three theoretical key tenets which were absent from the factor analysis. This facet was derived from the constructivist learning theory, framed in the mapping sentence, purposely designed as part of the FT research strategy. In the second study, students’ perceptions of the occurrence of constructivist practices in higher education learning environments were assessed. The comparison between SSA and CFA showed that the CFA was limited to capture merely one facet at a time and failed to illustrate the correspondence between the content facets of the mapping sentence.

2020 ◽  
Vol 10 (1) ◽  
pp. 125
Author(s):  
Heba M. Ismail ◽  
Boumediene Balkhouche ◽  
Saad Harous

Information wikis and especially Wikipedia have become one of the most attractive environments for informal learning. The nature of wikis enables learners to freely navigate the learning environment and independently con-struct knowledge without being required to follow a predefined learning path in line with the constructivist learning theory. Link-based navigation and keyword-based search methods used on Wikipedia and similar information wikis suffer from many limitations. In our paper, we present an effective recommendation system that provides easier and faster access to relevant content on Wikipedia to support informal learning. In addition, we evaluate the impact of personalized content recommendations on informal learning from Wikipedia and show how web analytics data can be used to get an in-sight on informal learning in similar environments.


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