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Journal : Jurnal Teknologi Informasi dan Pendidikan

Analysis of Students’ Report Writing from SFL-GP Perspective and Its Relation to Students’ Proficiency Monalisa Pasaribu; Tiurma Lumban Lumban; Hernawati Samosir
Jurnal Teknologi Informasi dan Pendidikan Vol 14 No 1 (2021): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/tip.v14i1.372

Abstract

Academic writing is one of important skill to have students in tertiary education, including students of Information Technology Diploma. Using Systemic Functional Linguistics Genre Pedagogy (SFL GP), the students report writings are investigated, his research aims at investigating how students comprehend SFL GP in their report writing and find out the relationship between students’ knowledge of SFL GP with their language proficiency. The texts are analyzed using the genre division by Rose and Martin. The results of the analysis will be used to investigate if the knowledge of genre writing for technology-based students is related to their language proficiency. This research contributes to better use of genre pedagogy for science students, more specifically, students of Information Technology.
Development of DelTalk (an English learning application) using Agile Method Tegar Arifin Prasetyo; Monalisa Pasaribu; Tiurma Lumban Gaol; Togu Novriansyah Turnip; Juli Yanti Damanik; Andree Panjaitan; Mei Pane; Nathan Fernando Lumban Tobing; Lilis Marito Pardosi; Timothy Timothy; Yohana Sihombing
Jurnal Teknologi Informasi dan Pendidikan Vol 16 No 1 (2023): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v16i1.662

Abstract

English has become a world language that must be mastered by many people because English has dominated the era of communication to connect and transfer knowledge to the entire world. When it comes to the development of mobile applications for language learning, previous research has tended to emphasize testing on various technologies such as multimedia, virtual and augmented reality, conversational agents and artificial intelligence-based systems. This research, therefore, aimed to develop a mobile-based English learning application that provided English learning in the form of stories called the Deltalk. This mobile-based English learning application provides features in which the users can practice their speaking in English. This app was developed by integrating ASR (Automatic Speech Recognition) technology provided by NOVO Learning. The ASR was integrated with Deltalk through the API (Application Programming Interface) and Websocket. Deltalk development adapted two agile frameworks, including Scrum and Lean Software Development by performing MVP process one time.