Improving English Vocabulary Through Quizizz in Practice Tests for Gamification and Google Forms with AutoProctor in Assessment tests for the Preclusion of Malpractice

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Abstract

Research on Vocabulary is prominent, and it helps learners find many diverse ways to learn vocabulary to a greater extent. However, the research on vocabulary in recent years gradually diminishes as students age and get to higher education. Many researchers recommended the effective use of digital tools to motivate students to participate actively in learning, and digital gamification made quite an impact by creating student interest in word learning. Therefore, this study primarily identified the need for improving the students' English vocabulary through blended learning by incorporating Quizizz for gamification during the students' practice tests, secondarily, the need for precluding students' malpractice through Google forms with AutoProctor during their assessment tests for their genuine vocabulary learning. This study was carried out based on quantitative research by collecting and analysing numerical data of the control and experimental groups and also through a closed-ended questionnaire using a Likert Scale. The findings demonstrated that this research culminated in a subtle difference in the two groups; the control and experimental groups that pursued the traditional and blended methods. The Pooled Standard Deviation statistically demonstrated that it had deviated from the control group's Standard Deviation by 0.286 and the experimental group's Standard Deviation by 0.2. This weighted average vindicated the study that the experimental group could perform better than the control group in the post-test.

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APA

Manipatruni, V. R., Kumar, N. S., Karim, M. R., & Banu, S. (2023). Improving English Vocabulary Through Quizizz in Practice Tests for Gamification and Google Forms with AutoProctor in Assessment tests for the Preclusion of Malpractice. International Journal of Interactive Mobile Technologies, 17(13), 22–43. https://doi.org/10.3991/ijim.v17i13.39445

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