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Development of a teacher competency model in game-based learning: a need analysis Jiang, Jinchuan; Abu Ziden, Azidah
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i1.31831

Abstract

This paper conducts a need analysis study to identify the requirements for developing a competency model for teachers implementing game-based learning (GBL) in Chinese secondary schools. Additionally, it investigates the practices and challenges of teachers while implementing this pedagogical approach. Through a quantitative survey involving 384 teachers, key findings reveal significant challenges, such as technological issues, limited instructional time, a lack of high-quality games aligned with the curriculum, and inadequate teacher training. The majority of teachers expressed a positive attitude towards game-based learning but reported limited classroom usage due to these obstacles. The results highlight the need for the development of a competency model tailored to game-based learning teachers, emphasizing the importance of structured training opportunities. Such a model would provide essential guidance and support, enabling teachers to enhance their competencies and effectively integrate game-based learning into their teaching practices. Consequently, the next step of this research is to design and develop a comprehensive competency model that encompasses both technological and pedagogical skills, which will aim to enhance teacher preparedness and improve the integration of game-based learning in education, ultimately benefiting student engagement and learning outcomes.
Deconstructing Students’ Language Identities On X: A Nigerian and Malaysian Case Study For Education Abu Ziden, Azidah; Emmanuel Ifedayo, Adu
Language, Technology, and Social Media Vol. 2 No. 2 (2024): December 2024 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.v2i2.99

Abstract

This study investigated students’ language deconstruction and identities on X social media technology. The Gen Z’s and Big Data are currently in vogue, which affords this research to enquire using a quantitative methodology. Besides, the online data analytics consisting of the number of likes, repost and comments were gathered from the X social media. Nowadays, the social media acts as an online reservoir for internet data that are readily available for use. Learning analytics are records of students’ activities based on their engagement on social media. However, the respondents in this study were students randomly selected from a two-world perspective on X, consisting of Malaysian and Nigerian students. A detailed data analysis was conducted using the statistical package for social sciences (SPSS) and the results showed a recent decline of students’ engagement in educational discourse using indigenous languages on X. The recent decline was informed by this study’s data, which implies an imminent action is required to ensure the indigenous languages are protected from extinction. This study findings are significant to lecturers, policymakers, researchers and Government in ensuring that more language diversity issues are considered in this 21st century. This research likewise addressed the English language (L2) significance in educational discourse with a recommendation for the inclusion of more indigenous language option on X for diversity and equality purpose.