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Lecturers’ checklist instrument to monitor students’ understanding in distance learning Sari Muthia Silalahi; Dedy Anwar; Juli Yanti Damanik
Journal of Education and Learning (EduLearn) Vol 16, No 4: November 2022
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/edulearn.v16i4.20485

Abstract

This paper aimed at exploring the results of participant self monitoring using a checklist instrument in distance learning with flipped classroom setting. The participants were 11 lecturers of Bioprocess Engineering Study Program at Institut Teknologi Del (IT Del), Indonesia. The objective of the checklist instrument was for the lecturers to monitor their students’ understanding about the lessons given each week. The data generated from the instrument was analysed descriptively. The results found that pre-class, in-class and out-class are important parts of learning in flipped classroom setting. The data showed that 56% of students achieved good understading of the knowledge taught by their lecturers. The same idea as in-class, attendance checking and interaction between students and lecturers had a key factor in the learning process. It was found that students’ understanding increased by 20% (very good), 62% (good) and 18% (moderate) through questions and answers, discussions, and tests at the end of class. Those were the modes of interactions that had been done in class. In line with an out-class checklist, giving assignments and feedback could improve students understanding into the level of very good (61%), good (27%) and sufficient (10%). with using a checklist tool, participants in this study self-monitored their progress in a flipped classroom while taking distance learning courses online to improve the quality of their class.
Language learning strategies used by Indonesian learners in IELTS Juli Yanti Damanik
Studies in English Language and Education Vol 9, No 1 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.028 KB) | DOI: 10.24815/siele.v9i1.21448

Abstract

This study investigated the frequently used language learning strategies (LLS) by Indonesian learners in learning English for a high-stakes exam, IELTS. In addition, differences in the LLS use among participants with different proficiency were examined. Using a quantitative approach, data were collected by using an online survey by utilizing Oxford’s Strategy Inventory for Language Learning (SILL) as the instrument. Sixty-one Indonesian adult learners who had taken IELTS were involved in this study. Their IELTS score indicated their proficiency levels. Data analysis was carried out using Statistical Package for Social Science (SPSS). It involved a descriptive analysis to find the frequency and an independent samples t-test to see the LLS use based on proficiency. The findings revealed that the participants used various LLS in learning English for IELTS. The most frequently used strategies were metacognitive, followed by cognitive, compensative, social, affective, and memory strategies. Meanwhile, the independent samples t-test showed that the difference in the LLS use among participants with different proficiency was not noticeable. Reflecting on the results, it is proposed that English teachers in Indonesia may start growing their learners’ awareness of LLS benefits and teach them to use them properly in their learning English for IELTS.
Language learning strategies used by Indonesian learners in IELTS Juli Yanti Damanik
Studies in English Language and Education Vol 9, No 1 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/siele.v9i1.21448

Abstract

This study investigated the frequently used language learning strategies (LLS) by Indonesian learners in learning English for a high-stakes exam, IELTS. In addition, differences in the LLS use among participants with different proficiency were examined. Using a quantitative approach, data were collected by using an online survey by utilizing Oxford’s Strategy Inventory for Language Learning (SILL) as the instrument. Sixty-one Indonesian adult learners who had taken IELTS were involved in this study. Their IELTS score indicated their proficiency levels. Data analysis was carried out using Statistical Package for Social Science (SPSS). It involved a descriptive analysis to find the frequency and an independent samples t-test to see the LLS use based on proficiency. The findings revealed that the participants used various LLS in learning English for IELTS. The most frequently used strategies were metacognitive, followed by cognitive, compensative, social, affective, and memory strategies. Meanwhile, the independent samples t-test showed that the difference in the LLS use among participants with different proficiency was not noticeable. Reflecting on the results, it is proposed that English teachers in Indonesia may start growing their learners’ awareness of LLS benefits and teach them to use them properly in their learning English for IELTS.
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.