The research concerned the application of Dynamic Assessment (DA) in English Language Teaching (ELT) which based on Vygotsky’s theory, namely Zone of Proximal Development (ZPD). The research was meant to investigate the effect of DA in improving teaching and learning speaking in Indonesia especially English as a Foreign Language (EFL) learners in university. The research was conducted using a qualitative method by involving four Indonesian university learners in the first semester. The participants received the same treatments through pre-test and self-reflection, feedback and knowledge expansion, post-test and self-reflection, post-feedback, and semi-structured interviews. The instruments were used to analyze the learners’ non-fluency and mastery problem. The analysis showed that the learners’ speaking performance was improved after experiencing DA sessions. The results of the test and self-reflection showed significant improvement in their speaking. The finding showed some positive effects of DA on EFL learners’ speaking performance. In interviews, learners showed positive experiences and attitude toward DA since it served them a comfortable, structured, practical, and meaningful platform to recognize their speaking behavior, weaknesses, strength, and needs. Furthermore, it also helped them to get the objective feedbacks with less anxiety. The researchers conclude that DA can be applied as a primary alternative assessment in English speaking practices.
The purpose of this research was to discover problems that Indonesian Vocational Students are having with the Test of English for International Communication (TOEIC) to improve TOEIC instruction. The participants were 18 students in school attending the TOEIC preparation course in the TOEIC course in October 2018. There were two steps in taking the data: (1) questionnaires on the listening and reading problems in the TOEIC test, and (2) interview on how they cope with the problems. The result shows that: 1) The majority of subjects had no experience in TOEIC and most of them did not have any preparation for the test; 2) Listening problems were at a high level in questionnaires 100% for the lack in vocabulary; 3) Reading problems were at a high level in questionnaires 100% for unknowing the meaning based on the context of the text; 4) The interview results showed that the students solve the problem in TOEIC test with learning by themselves, discuss with a partner and learning on the internet. The researchers recommend that the TOEIC course should include vocabulary building and be conducted frequently.
Due to the restrictions of direct interactions during the pandemic, educational practices have massively and simultaneously shifted to remote teaching. Remote teaching is to some extent often viewed as an ineffective means of instructional delivery. It lacks the kind of interactions between teachers and students that are primarily found in traditional classrooms. In addition to ubiquitous technical hindrances, many educators find students' learning progress hard to monitor in remote teaching. The obstacles in remote teaching have prompted the government and educators to explore the possibilities of holding face-to-face meetings in a blended learning format amid the pandemic. This paper is aimed to present a sketch of students' perceptions of the possibilities of combining face-to-face classes with online learning during a pandemic. Using online surveys for data gathering and descriptive statistics for data analysis, this study found that students’ perception of current emergencies influences their preferred mode of instructional delivery. The students appear to be much more tolerant of numerous hindrances in remote teaching than the potential risks of COVID-19 transmission. Most students in this study preferred fully online learning to blended learning. For them, health is the top priority.
Coronavirus disease 19 (COVID19) is a disease caused by the new coronavirus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This disease has infected almost the entire world with a total of 47.5 million sufferers and a death toll of 1.2 million people so that WHO categorizes it as a global pandemic. The COVID19 case in Indonesia still shows an increasing trend even though various prevention efforts have been made. Proven efforts to reduce the spread of COVID19 include limiting physical interactions between humans or physical distance, maintaining the cleanliness of hands and limbs by washing with soap, and limiting outdoor activities by staying at home. Several government and private agencies have required employees to report their health conditions via web pages. Real-time and accurate mobile applications can help prevent the spread of COVID19. This research will develop a real-time monitoring and command system using mobile applications and cloud computing technology. The application will collect GPS-based location data, the number of people in the vicinity identified via Bluetooth, and the user's body condition in the form of temperature and oxygen levels in the blood. User data is stored and processed in a real time database in cloud computing which can be accessed through an application on the user's smartphone. The database also stores data on Covid19 sufferers and where they live. The application provides alerts when in a crowd and notifies the status of the region the user is in. Advice is given by the app when the recording of the body condition points to the early symptoms of COVID19.
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