Design and validation of the context-based curriculum model with emphasis on connectivism for teaching sciences

Subject Areas : Research in Curriculum Planning

Saeid Asadpour ¹ , alireza assareh ² , Gholam Ali Ahmadi ³ , Mohamad Reza Emam Jomea ⁴

1 - PhD Student of curriculum planning, Department of Educational Science, Faculty of Humanities, Shahid Rajaee University ,Tehran, Iran
2 - Professor,Department of Educational Science, Faculty of Humanities, Shahid Rajaee University, Tehran, Iran
3 - Associate Professor, Department of Educational Science, Faculty of Humanities, Shahid Rajaee University, Tehran, Iran
4 - Associate Professor, Department of Educational Science, Faculty of Humanities, Shahid Rajaee University, Tehran, Iran

Received: 2021-10-22 Accepted : 2022-02-14 Published : 2022-02-20

Keywords: Curriculum, connectivism, Context-Based, sciences,

Abstract :

The present study was conducted with the aim of designing and validating the context-based curriculum model with emphasis on connectivism for teaching sciences in the first period of high school. The method of the study is mixed and exploratory design. In the qualitative part, the directional qualitative content analysis method was used and in the quantitative part, the polling method was used. Data were collected through upstream documents and scientific texts in the period of 2000-2020 and semi-structured interviews using purposive sampling and snowball sampling with 10 experts. The method of data analysis  in the qualitative part was inductive coding and in quantitative part was confirmatory factor analysis, descriptive indices of mean and standard deviation and Kendall inferential test(w). After achieving the proposed model, through a researcher-made questionnaire, 30 experts were interviewed by purposive sampling to validate the model. Among the results obtained in this study, 72 pivotal codes related to the characteristics of the elements of logic, purpose, content, teacher role, learning activities, grouping, resources, time, place and evaluation. In quantitative part, after confirmatory factor analysis of the questionnaire by PLS structural equation software, 2 variable were removed from the original model due to having a factor load of less than 0.5 and a revised model of curriculum with 70 variables was validated and presented after confirmatory factor analysis and appropriate fit by R2 and also examining the agreement of experts with Kendall coefficient.

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