Content area
In recognition of the integration of Information and Communications Technology (ICTs) along with Artificial Intelligence (AI) into education, several educational organizations have recommended cultivating 21st-century digital skills as part of every educational curriculum. The computational thinking skill, which is at the core of 21st-century digital skills, has gained research in several fields, such as physics and psychology (Barkela et al., 2024). However, applied linguistics and computer-assisted language learning (CALL) have overlooked this crucial skill, which might stem from the lack of language teachers’ computational thinking competency. For this reason, in the present study the researchers developed a new theoretical framework, and it’s corresponding scale specifically designed for applied linguistics and CALL, namely the Language Teachers’ Computational Thinking Competency in Computer Assisted Language Learning (LTCCTCALL). Using deductive and inductive methods, the researchers developed the items, followed by a validation process that used the Rasch-Andrich rating scale model (RSM) to assess the scale’s item difficulty and validity using Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). LTCCTCALL was validated with five factor structures that included 15 items in the Iranian EFL context, involving 273 Iranian in-service language teachers. Based on this result, the study introduced a new theoretical framework and its scale to the fields of CALL, applied linguistics, and the Common European Framework of Reference for Languages (CEFR) to lead the community’s continued growth and to prevent the community from falling behind other fields that incorporate computational thinking skills into our classrooms to have problem-solving approaches with CALL, AI, and chatbots in language class.
Details
Competence;
Control Groups;
Influence of Technology;
Experimental Groups;
Learning Strategies;
Learning Processes;
Language Teachers;
Computer Science Education;
Applied Linguistics;
Academic Achievement;
Language Acquisition;
English (Second Language);
21st Century Skills;
Artificial Intelligence;
Classrooms;
Educational Assessment;
Elementary Secondary Education;
Fundamental Concepts;
Core Curriculum;
Cognitive Ability;
Learner Engagement;
English;
Educational Strategies;
Algorithms
21st century;
Curricula;
Digital literacy;
Second language teachers;
Statistical analysis;
Artificial intelligence;
Human-computer interaction;
Measures;
Problem solving;
Computer assisted language learning;
Applied linguistics;
Linguistics;
Psychology;
Educational standards;
Learning;
English as a second language instruction;
Confirmatory factor analysis;
Computer assisted instruction--CAI;
Exploratory factor analysis;
Rasch model;
Thinking skills;
Physics;
Computers;
Factor structures;
Teachers;
Frame analysis;
Languages;
Language acquisition;
Information technology;
Competence;
Telecommunications;
Competency based learning;
Skills;
Communications technology;
Factor analysis;
Classrooms
; Daneshvar Ghorbani, Babak 2 1 Universitat de València, Language, Literature and Culture, and Its Applications, Valencia, Spain (GRID:grid.5338.d) (ISNI:0000 0001 2173 938X)
2 Iran University of Science and Technology, Department of Foreign Languages, Tehran, Iran (GRID:grid.411748.f) (ISNI:0000 0001 0387 0587)