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Flipped learning readiness in teaching programming in middle schools: Modelling its relation to various variables
Author(s) -
Yildiz Durak Hatice
Publication year - 2018
Publication title -
journal of computer assisted learning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.583
H-Index - 93
eISSN - 1365-2729
pISSN - 0266-4909
DOI - 10.1111/jcal.12302
Subject(s) - flipped classroom , mathematics education , structural equation modeling , frame (networking) , computer science , class (philosophy) , psychology , self efficacy , student engagement , relation (database) , multimedia , social psychology , artificial intelligence , telecommunications , database , machine learning
Abstract The aim of this study is to investigate the effect of students' flipped learning readiness (FLR) on engagement, programming self‐efficacy, attitude towards programming, and interaction intensity in the information and technology classrooms where programming is taught with the flipped classroom (FC) model. The study group of this research, which is designed by the relational screening method, consists of 371 students studying in middle school. Structural equation model was used for the data analysis. The results of the study revealed that FLR and its indicators in the programming teaching conducted with the FC model are significant predictors of engagement, attitude, programming self‐efficacy, and interaction intensity. FLR is most strongly related to programming self‐efficacy, whereas it is most weakly related to interaction. The most striking result of this study is that the FC model is an effective option in terms of providing engagement, interaction, self‐efficacy, and learner attitude, which are the key components for the success of the instruction. It is thought that this study assists to create an awareness on the impact of FLR on students, on subjects that frame in‐class attitudes, and behaviours of students.