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The term “computer-mediated communication” (CMC) describes the transmission of messages and information using computer technology. With the extensive use of email, instant messaging, social media, and other digital platforms in Nepal in recent years, this style of communication has grown in popularity. The article examines how computer-mediated communication (CMC) and artificial intelligence (AI) have grown in significance in Nepal’s undergrad English education. This article allows students to collaborate on projects and tasks, which improves their learning experience, by examining the potential of AI and CMC. The facts of Nepal’s education have been examined using the four different basic literature reviews. Despite the need for further literature on artificial intelligence and computer-mediated communication in Nepal’s English classes for undergrads between 2018 and 2023, the studies reviewed shed light on the possibilities of technology and AI in language acquisition. Undergraduate class observation, self-administered text analysis, social information processing theory and experimental research, which involves adjusting variables to see how they affect learning results, were used to gather data. The study’s findings also demonstrate how using CMC platforms encourages students to practice their digital literacy. They gain knowledge on how to move through online spaces, efficiently communicate with a variety of digital tools, and assess the reliability of information sources. Students can communicate with their teachers outside of the classroom via video conferencing software and online discussion boards. This may result in more in-depth discussions and debates as well as greater student engagement.
The term “computer-mediated communication” (CMC) describes the transmission of messages and information using computer technology. With the extensive use of email, instant messaging, social media, and other digital platforms in Nepal in recent years, this style of communication has grown in popularity. The article examines how computer-mediated communication (CMC) and artificial intelligence (AI) have grown in significance in Nepal’s undergrad English education. This article allows students to collaborate on projects and tasks, which improves their learning experience, by examining the potential of AI and CMC. The facts of Nepal’s education have been examined using the four different basic literature reviews. Despite the need for further literature on artificial intelligence and computer-mediated communication in Nepal’s English classes for undergrads between 2018 and 2023, the studies reviewed shed light on the possibilities of technology and AI in language acquisition. Undergraduate class observation, self-administered text analysis, social information processing theory and experimental research, which involves adjusting variables to see how they affect learning results, were used to gather data. The study’s findings also demonstrate how using CMC platforms encourages students to practice their digital literacy. They gain knowledge on how to move through online spaces, efficiently communicate with a variety of digital tools, and assess the reliability of information sources. Students can communicate with their teachers outside of the classroom via video conferencing software and online discussion boards. This may result in more in-depth discussions and debates as well as greater student engagement.
No abstract
In the past two decades, the synergistic relationship among task-based language teaching (TBLT), instructed second language acquisition, and computer-assisted language learning has gained increasing interest.Technology-mediated TBLT combines these three research domains by integrating the use of technology with task-based approaches for second language (L2) learning purposes. Since the emergence of this framework, empirical studies have increasingly explored the incorporation of tasks with technology-mediated settings for L2 learning and teaching purposes. To understand the methodological characteristics of technology-mediated TBLT research to date, we conducted a systematic search and reviewed 254 technology-mediated TBLT studies published between 2000 and 2022 in peer-reviewed journals and book chapters. These studies were coded for methodological features, research foci, and types of technology. We further examined the role of technologies in task performance to identify their effectiveness in creating authentic tasks. The findings revealed that technology-mediated TBLT research investigated a rather limited scope of contexts, learner groups, and linguistic features, with little attention paid to evaluating the quality of task outcomes. The types of technology used were skewed toward computer-mediated communication. The results also showed that studies examined various interactional features, and the majority reported both quantitative and qualitative data. Furthermore, technologies were integrated into task design to create meaningful language use contexts. Based on these findings, we share suggestions for future technology-mediated TBLT research.
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