The teaching of English-expressions has always been done through conversation samples in form of written texts, audio recordings, and videos. In the meantime, the development of computer-aided learning technology has made autonomous language learning possible. Game, as one of computer-aided learning technology products, can serve as a medium to provide educational contents like that of language teaching and learning. Visual Novel is considered as a conversational game that is suitable to be combined with English-expressions material. Unlike the other click-based interaction Visual Novel Games, the visual novel game in this research implements speech recognition as the interaction trigger. Hence, this paper aims at elaborating how visual novel games are utilized to deliver Englishexpressions with speech recognition command for the interaction. This research used Research and Development (R&D) method with Experimental design through control and experimental groups to measure its effectiveness in enhancing students' English-expressions mastery. ANOVA was utilized to prove the significant differences between the control and experimental groups. It is expected that the result of this development and experiment can devote benefits to the English teaching and learning, especially on English-expressions.

This study examined the similarities and differences between two literary works, Giambattista Basile's Sun, Moon, and Talia and Walt Disney's Sleeping Beauty, emphasizing gender roles. The authors examined how both male and female characters were portrayed in the short stories. To analyze this problem, the qualitative methodology was employed. The data sources were acquired through library research. The primary data came from the two short stories, while the supporting data came from other sources such as journals, e-books, and other internet-based material that was relevant. In both stories, male characters are stronger, more powerful, and more dominant than their female counterparts, as indicated by the study's findings. This analysis also found that both stories were presented differently by their respective authors, with Sun Moon and Talia depicting the patriarchal structure more explicitly than Disney's Sleeping Beauty.

No abstract

English teachers have been testing students speaking skill through student presentation and other kinds of direct testing. Testing the speaking ability of a big number of students is time consuming. Hence, an automatic model of testing English speaking skill is demanded. A computer assisted testing of English speaking using the technology of speech recognition comes handy. In this paper, we propose a tool to automatically score a student's English-speaking performance. The proposed system applies the speech recognition technology with the string-matching algorithm in PHP language to process the voice input of the test candidate for scoring. The development resulted two main products namely the web-based speaking test app, and the data set for the scoring system. The initial stage focus of the development is the trained data model for the scoring system. The data was tested using Confusion Matrix, and it resulted percentage in accuracy of 80, precision of 84, recall and sensitivity of 94, and F1 Score of 88. This concludes that the app can help the researcher enrich the data and refine the score for a better automatic English-speaking testing system. Hence, once the app and the data model are perfected, it is ready for efficiency in English speaking testing.