The Assessment on Generative Artificial Intelligence (GAI) Technology in Malay Language Teaching

Mohd Effendi Ewan Mohd Matore and Siti Haryanti Osaman
Additional contact information
Mohd Effendi Ewan Mohd Matore: Faculty of Education, Universiti Kebangsaan Malaysia (UKM) 43600 Bangi, Selangor, Malaysia
Siti Haryanti Osaman: Research Centre of Education Leadership and Policy, Faculty of Education, Universiti Kebangsaan Malaysia (UKM) 43600 Bangi, Selangor, Malaysia

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 4, 2426-2433

Abstract: Generative Artificial Intelligence (GenAI-Tech) is a branch of artificial intelligence capable of generating new and original data based on existing data. GenAI-Tech can manipulate and synthesize data to create various forms of content using algorithms to look new and realistic. However, most Malay teachers understanding of GenAI-Tech technology is very poor, especially in assessment. The discussion of GenAI-Tech using the SCORE model is not much discussed compared to the model in other strategy planning tools. Therefore, this concept paper aims to describe strategy-based assessment in GenAI-Tech Tech practice in Malaysia using the SCORE Model especially in Malay Language teaching and learning. The methodology used for this concept paper is the conceptual analysis using SCORE model that measured among five elements such as Strengths (S), Challenges (C), Options (O), Responses (R) and Effectiveness (E). The major findings show that SCORE model effectively can show the potential of GenAI-Tech by recognizing the strength, challenges, options, responses and effectiveness in Malay Language assessment educational context. By integrating GenAI-Tech, this approach encourages teachers to embrace challenges, persist through setbacks, and take ownership of their learning journey while leveraging advanced technology to enhance their teaching practices and assessment strategies. The limitation on this paper can be improved by using any other model to get variety of perspectives such as SWOT, TOWS, NOISE, and SOAR. This finding has important implications for teachers who believe their abilities can be developed through dedication, hard work, and the integration of GenAI-Tech are more likely to persevere in the face of challenges. Further research might include longitudinal studies to investigate the stability of GenAI-Tech over time and its predictive capacity for outcomes such as academic performance, career achievement, and overall well-being, particularly focusing on teachers’ understanding and application of GenAI-Tech. Exploring the best way that educators can comprehend and integrate GenAI-Tech into their teaching strategies could provide valuable insights into their effectiveness, resilience, and long-term success.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.rsisinternational.org/journals/ijriss/ ... ssue-4/2426-2433.pdf (application/pdf)
https://rsisinternational.org/journals/ijriss/arti ... y-language-teaching/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bcp:journl:v:9:y:2025:issue-4:p:2426-2433

Access Statistics for this article

International Journal of Research and Innovation in Social Science is currently edited by Dr. Nidhi Malhan

More articles in International Journal of Research and Innovation in Social Science from International Journal of Research and Innovation in Social Science (IJRISS)
Bibliographic data for series maintained by Dr. Pawan Verma ().