Scaffolded Gamified Vocabulary Learning through ChatGPT and Quizizz Integration

dc.contributor.authorHeng, Wen Zhuo
dc.date.accessioned2025-09-29T03:54:28Z
dc.date.available2025-09-29T03:54:28Z
dc.date.issued2025
dc.description.abstractMany tertiary English as a second language (L2) learners struggle with limited vocabulary, which affects their ability to read, write, listen, and speak effectively. This paper introduces a simple yet highly accessible tool to help address this issue by combining three elements: the Oxford Word List, artificial intelligence (AI), and the Quizizz platform. The Oxford Word List serves as a guide to focus on high-frequency and useful vocabulary. AI tools are used to generate sample sentences, short stories, and exercises that help learners understand and use these words in context. These materials are then uploaded to Quizizz, where students can practise through fun, game-based quizzes that also provide immediate feedback. This approach is designed to be easy to administer for teachers and engaging for learners. While it has not been empirically tested, it is based on sound teaching principles such as repetition, context-based learning, and motivation through gamification. The paper suggests that ESL instructors can explore how this method works with students of different levels, how AI tools can support speaking practice, and how learning progress can be tracked using data. By combining a trusted word list, AI-generated content, and interactive quizzes, this approach offers a promising way to help L2 learners improve their vocabulary and overall English skills.
dc.identifier.isbn9786299418603
dc.identifier.urihttps://digitallibrary.peninsulacollege.edu.my/handle/123456789/1222
dc.language.isoen
dc.publisherPeninsula College (Northern) Sdn. Bhd.
dc.relation.ispartofseriesLightning Insights 2025
dc.titleScaffolded Gamified Vocabulary Learning through ChatGPT and Quizizz Integration
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Wen Zhuo Heng.pdf
Size:
307.4 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
738 B
Format:
Item-specific license agreed to upon submission
Description: