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All Journal International Journal of Applied Sciences and Smart Technologies Jurnal Pendidikan Progresif
Wulandari, Nunik Herani
Universitas Negeri Yogyakarta
Computer Science & IT Education Energy Engineering Industrial & Manufacturing Engineering

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Vlog Project or Picture Series: Examining Effective Techniques in Teaching Speaking Skills Nunik Herani Wulandari; Ashadi Ashadi
Jurnal Pendidikan Progresif Vol 11, No 2 (2021): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

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Abstract

Vlog Project or Picture Series: Examining Effective Techniques in Teaching Speaking Skills. Objectives: This study investigates whether there are significant differences between students who are taught using the vlog project and picture series techniques. Methods: Quasi-Experimental method was used to collect information through two groups as experimental, and one control group, the number of samples is 58 students. The data obtained were analyzed using ANOVA test and continued with the Scheffe test. Findings: The findings in this study reveal that the use of the vlog project technique is, to some extent, more effective than the use of picture series and conventional techniques. It is evidenced by the value of the mean difference in the Scheffe test, which is positive for the other two groups, namely 2.70760 and 5.46316. Conclusion: vlog project technique significantly affects the teaching-learning process of speaking in the eighth grade, especially for recount text. Keywords: teaching techniques, speaking skills, vlog projects, picture series DOI: 10.23960/jpp.v11.i2.202111
Cluster Change Analysis to Assess the Effectiveness of Speaking Skill Techniques using Machine Learning Wulandari, Nunik Herani; Purwayoga, Vega
International Journal of Applied Sciences and Smart Technologies Volume 07, Issue 1, June 2025
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v7i1.9667

Abstract

This study aims to compare effective teaching methods for speaking using machine learning. The classes used in this study consisted of three classes: conventional, vlog project, and picture series. The data used were students' pre-test and post-test scores. The machine learning algorithm used is K-Means. K-Means clusters the pre-test and post-test data. The results of K-Means clustering on the pre-test and post-test identified the differences in student groups between the pre-test and post-test. Students who experienced the most cluster movement were those in the vlog project class, the conventional class, and the picture series class.
Co-Authors Ashadi Ashadi Ashadi Ashadi Purwayoga, Vega