“…Particularly in the upheaval of teaching modes in the COVID-19 pandemic, video conferencing tools (e.g., Zoom) and learning management systems (e.g., Blackboard) supported by AI technologies have been widely opted to implement online EFL teaching and learning (Layali and Al-Shlowiy, 2020 ). A large and growing body of literature has suggested that AI can benefit language teaching and learning (Gao, 2021 ; Pikhart, 2021 ; Klimova et al, 2022 ), and ameliorate the quality of online EFL learning especially during the COVID-19 pandemic (Zitouni, 2022 ). To date, many reviews on AIEd have emerged (Chen et al, 2022 ).…”
The booming Artificial Intelligence (AI) provides fertile ground for AI in education. So far, few reviews have been deployed to explore how AI empowers English as Foreign Language (EFL) teaching and learning. This study attempts to give a brief yet profound overview of AI in the EFL context by summarizing and delineating six dominant forms of AI application, including Automatic Evaluation Systems, Neural Machine Translation Tools, Intelligent Tutoring Systems (ITSs), AI Chatting Robots, Intelligent Virtual Environment, and Affective Computing (AC) in ITSs. The review furthermore uncovers a current paucity of research on applying AC in the EFL context and exploring pedagogical and ethical implications of AI in the EFL context. Ultimately, challenges from technical and teachers' perspectives, as well as future research directions, are illuminated, hopefully proffering new insights for the future study.
“…Particularly in the upheaval of teaching modes in the COVID-19 pandemic, video conferencing tools (e.g., Zoom) and learning management systems (e.g., Blackboard) supported by AI technologies have been widely opted to implement online EFL teaching and learning (Layali and Al-Shlowiy, 2020 ). A large and growing body of literature has suggested that AI can benefit language teaching and learning (Gao, 2021 ; Pikhart, 2021 ; Klimova et al, 2022 ), and ameliorate the quality of online EFL learning especially during the COVID-19 pandemic (Zitouni, 2022 ). To date, many reviews on AIEd have emerged (Chen et al, 2022 ).…”
The booming Artificial Intelligence (AI) provides fertile ground for AI in education. So far, few reviews have been deployed to explore how AI empowers English as Foreign Language (EFL) teaching and learning. This study attempts to give a brief yet profound overview of AI in the EFL context by summarizing and delineating six dominant forms of AI application, including Automatic Evaluation Systems, Neural Machine Translation Tools, Intelligent Tutoring Systems (ITSs), AI Chatting Robots, Intelligent Virtual Environment, and Affective Computing (AC) in ITSs. The review furthermore uncovers a current paucity of research on applying AC in the EFL context and exploring pedagogical and ethical implications of AI in the EFL context. Ultimately, challenges from technical and teachers' perspectives, as well as future research directions, are illuminated, hopefully proffering new insights for the future study.
“…Moreover, another technology currently developing is mobile learning, a learning application that can be downloaded on a smartphone and learned more easily and freely. One of the existing applications is applications for foreign language learning [25].…”
The spread of the Covid-19 Pandemic, which has moved educational spaces from campus to home, has forced the reorientation of the teaching and learning process from lecturer-oriented to technology-oriented. Educational technologization is becoming a new chapter in the relationship between lecturers and students due to physical and social distancing policies. This paper aims to show the effect of using technology on the relationship between lecturers and students, besides testing whether educational transformation, as shown by various studies, is successfully placing students as active and independent learners. The study used a qualitative method, which was conducted at a university in the city of Malang, Indonesia. Respondents who were involved in collecting interview data included lecturers and students. Data collection used google forms and online interviews via WA and Zoom. Research findings show that online learning policies have given birth to psychological stress for lecturers and students, not by accessibility and technological literacy factors, but by the mental barrier for lecturers and students. Technology has been perceived as a process that takes the rights and authority of lecturers in transferring knowledge to students. At the same time, students do not have the awareness and mental readiness to take an active position and be independent in the learning process. Technology has not been a possible possibility for the convenience and advancement of education.
Mobile application is one form of information technology development that continues to increase from year to year. In the development of the digital world, it is increasingly encouraging to increase the affordability of the use of mobile devices (smartphones) to generate the most sustainable technological growth. This enormous growth in its development has given impetus to smartphone manufacturers to produce new applications on mobile devices to meet user needs. A mobile application development must have user interface and user experience aspects as part of the human-computer interaction (HCI) discipline. Mobile applications under development can run on Android and iOS platforms. This study aims to identify research opportunities in the UI/UX aspect of mobile application development whose data was obtained from related journals in 2017-2021 to provide an overview of the latest studies on research related to UI/UX mobile applications and provide analysis on topics and areas that do not have enough information and what factors to focus on. This study uses the Systematic Literature Review (SLR) method. The result of this research is to provide a systematic literature review of existing studies on UI/UX mobile applications. This research is expected to be useful for the HCI community in seeing the UI/UX description in the development of mobile applications to shape the direction of future research.
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