The Effect Chat Feature on Genshin Impact Online Game on ESL Communication Skills

Learning English is not only conducted at school but can be conducted through alternative media. These include watching English movies, listening to English songs, and playing online games. Online games do not merely have a negative impact, but they can also positively impact the user. Genshin Impact is an online game that is currently booming. Various features in Genshin Impact allow players to interact with other players by entering Co-Op mode. This research aims to discover whether students are motivated to improve their English communication skills through the chat feature in the online game Genshin Impact. This study employed a descriptive quantitative methodology. The data were then analyzed descriptively to answer the research question. 151 respondents from various schools were selected based on the required criteria. From the result data analysis, students perceive that using the chat feature in Genshin Impact can positively influence students' motivation to improve their English communication skills. The findings also revealed that students agree and strongly agree that online games can increase their motivation to learn English. The results of this study's implications encourage teachers to start thinking about the benefits of games in education

Critical Appraisal of Artificial Intelligence-Mediated Communication

Over the last two decades, technology use in language learning and teaching has significantly advanced and is now referred to as Computer-Assisted Language Learning (CALL). Recently, the integration of Artificial Intelligence (AI) into CALL has brought about a significant shift in the traditional approach to language education both inside and outside the classroom. In line with this book's scope, I explore the advantages and disadvantages of AI-mediated communication in language education. I begin with a brief review of AI in education. I then introduce the ICALL and give a critical appraisal of the potential of AI-powered automatic speech recognition (ASR), Machine Translation (MT), Intelligent Tutoring Systems (ITSs), AI-powered chatbots, and Extended Reality (XR). In conclusion, I argue that it is crucial for language teachers to engage in CALL teacher education and professional development to keep up with the ever-evolving technology landscape and improve their teaching effectiveness

The history of chatbots: the journey from psychological experiment to educational object

Chatbots represent a strong and distinctive theme in the current literature on technology in education. What is lacking, however, is an analysis of them in terms of historical development or deeper historical-discursive classification. This paper focuses on the history of chatbots and places it in the context of a critical reflection on studies focusing on chatbots as educational objects between 2006-2021. It offers an analysis of each study and places them in the context of the development of the field as a whole. The study identifies three vital discourses that can be identified in the development of chatbots from a historical perspective - Turing-oriented, Searle-oriented and educational interaction-oriented

The application of chatbot as an L2 writing practice tool

This study investigates the effect of chatbot-based writing practices on second language learners’ writing performance and perceptions of using the chatbot in L2 writing practices. A total of 75 Korean elementary school students were randomly allocated to two groups. While the control group received traditional teacher-led writing instruction, the experimental group used a chatbot for individual writing practices for 15 weeks. The chatbot was developed using Google’s Dialogflow machine-learning AI platform by encoding expressions from an elementary school English textbook. A pretest was carried out prior to the experiment to examine the initial writing performance, and a posttest was carried out 15 weeks later with a different writing topic. The participants in the experimental group also responded to a short survey to report their perceptions and opinions about the chatbot. The results showed that the two groups generally showed a similar writing proficiency in the pretest scores, but the experimental group performed significantly better in the posttest than the control group, suggesting that the chatbot-based writing practice had a facilitating effect on their test performance. The participants of the experimental group also found the chatbot useful in improving their language skills and made them feel comfortable when learning a foreign language

Pragmatic translanguaging: Multilingual practice in adolescent online discourse

This study puts forward the term ‘pragmatic translanguaging’ to refer to consciously outcome-oriented language switch motivations. The study focuses on the translanguaging practices of adolescents in their online discourse and explores what Jørgensen (2008) calls the ‘designing mind’ behind such practices; that is, an awareness of both the practices themselves and the motivations for them. With this in mind, the aim is to ascertain whether online translanguaging practices are intentional and to identify the functions they perform. In order to do so, semi-structured interviews were carried out involving 97 high-school students from the Valencian Community, Spain. The resulting data were analyzed to see how the participants described their online translanguaging practices and their reasons for engaging in these practices. The results show translanguaging across a range of digital media and online platforms which is consciously targeted at producing a specific effect and is frequently motivated by awareness of this potential effect; that is, an enhanced pragmatic awareness. Furthermore, the data revealed that online translanguaging practices covered three main pragmatic functions, namely those of marking humor, marking identity, and modifying requests. The study indicates that multilingual adolescents translanguage for more than simple communicative reasons, and that online platforms give them an extended opportunity to engage in multilingual interaction. While recognizing the limitations of this purely qualitative study, the authors offer the term ‘pragmatic translanguaging’ as a focal point for further contributions to this under-researched area of multilingual pragmatics

Using Instant Messaging to provide an intelligent learning environment

Abstract. Instant Messaging enables learners and educators to interact in an on-line environment. In this paper, we propose an intelligent ChatBot system, based on instant messaging, for student on-line coaching in an English learning environment. The proposed ChatBot facilitates synchronous communication with students by using ready reference materials including, dictionaries, authorized conversation material with speaking, and a question-answering function. The agent records and analyzes conversations so that the teacher can assess students ’ progress. Our contribution in this paper is that we integrate the NLP Tool and AIML into an instant messaging-based ChatBot for English as a Second Language programs.

Robust Dialog Management Through A Context-centric Architecture

This dissertation presents and evaluates a method of managing spoken dialog interactions with a robust attention to fulfilling the human user’s goals in the presence of speech recognition limitations. Assistive speech-based embodied conversation agents are computer-based entities that interact with humans to help accomplish a certain task or communicate information via spoken input and output. A challenging aspect of this task involves open dialog, where the user is free to converse in an unstructured manner. With this style of input, the machine’s ability to communicate may be hindered by poor reception of utterances, caused by a user’s inadequate command of a language and/or faults in the speech recognition facilities. Since a speech-based input is emphasized, this endeavor involves the fundamental issues associated with natural language processing, automatic speech recognition and dialog system design. Driven by ContextBased Reasoning, the presented dialog manager features a discourse model that implements mixed-initiative conversation with a focus on the user’s assistive needs. The discourse behavior must maintain a sense of generality, where the assistive nature of the system remains constant regardless of its knowledge corpus. The dialog manager was encapsulated into a speech-based embodied conversation agent platform for prototyping and testing purposes. A battery of user trials was performed on this agent to evaluate its performance as a robust, domain-independent, speech-based interaction entity capable of satisfying the needs of its users