Modern Art Design Knowledge Teaching System Based on Cloud Computing Environment

Jia, Yunyi

doi:10.1109/icenit57306.2022.00071

Cited by 4 publications

(5 citation statements)

References 10 publications

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“…Chatbots have been developed and implemented in many areas and researchers have been maintaining great interest in applying them to language learning, with one of their findings showing chatbots attract and motivate learners to get engaged in language practice. Jia (2004) finds that participants are interested in the system with a chatbot functioning as a chatting partner and that they are more confident talking with the chatbot as it could understand natural language and reasonably respond to generate a human-like dialogue. Similarly, Jia and Chen (2008) display the newest developments, applications and pedagogical functions of a chatbot called CSIEC and confirm that it can motivate learners to study and practice English.…”

Section: Literature Review Chatbot As a Language Learning Toolmentioning

confidence: 99%

“…As regards participants' perception of Xiaoying, the results of the questionnaire show that most subjects' attitude towards the use of this chatbot to improve oral accuracy remain positive as they admire the functions of this chatbot in language practice, such as promoting oral performance in tests (Jia & Ruan, 2008) and in daily communication (Zako & Capper, 2008), and confidence to interact with people in English (Jia, 2004), and appreciating that Xiaoying could provide learners with detailed and instant feedback (Fryer & Carpenter, 2006) and a fixed conversational partner (Shawar, 2017), which is consistent with the previous findings (Bii et al, 2013, Colace et al, 2018.…”

Section: Learners' Perceptions Of Chatbot Xiaoyingmentioning

confidence: 99%

“…According to Brennan (2006), a chatbot is an artificial construct designed to chat with human beings by means of using natural language for input and output. Many studies have been conducted that show chatbots can be used for language practice (Fryer & Carpenter, 2006;Jia, 2004;Jia & Chen, 2008;Shawar & Atwell, 2007). Microsoft Xiaoying (hereafter called Xiaoying), a chatbot launched by Microsoft on WeChat in 2016, is targeted at helping Chinese speakers learn English.…”

Section: Introductionmentioning

confidence: 99%

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Using a Smartphone-Based Chatbot in EFL Learners' Oral Tasks

Deng

Liang

et al. 2022

International Journal of Mobile and Blended Learning

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Large class sizes significantly limit EFL (English as a Foreign Language) learners' speaking opportunities in class, and it is also quite difficult for them to have a regular language partner if they want to practice English after class. Microsoft Xiaoying, a chatbot available on smart phones, offers EFL learners a virtual partner for them to conduct conversational practice with, and engage in language learning anytime and anywhere. This study evaluates 50 EFL learners’ accuracy, errors, and improvements in oral tasks during 28 days of training employing this chatbot, which located their grammar and pronunciation errors. The subjects’ grammar and pronunciation accuracy increased, and their oral performance was significantly improved. In addition, the chatbot was positively perceived by most participants. This study suggests that this chatbot could be one useful learning tool for after-class oral practice and that students might significantly improve their grammar and pronunciation through conversational practice with this chatbot.

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Section: Literature Review Chatbot As a Language Learning Toolmentioning

confidence: 99%

Section: Learners' Perceptions Of Chatbot Xiaoyingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Using a Smartphone-Based Chatbot in EFL Learners' Oral Tasks

Deng

Liang

et al. 2022

International Journal of Mobile and Blended Learning

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“…Dialog systems (Huang et al, 2020b;Ni et al, 2023) are designed to engage in natural language conversations with users, provide relevant information, answer queries, and simulate human interactions. These systems have gained significant attention in both academics and industry owing to their various potential applications, such as online customer service, virtual assistants, and interactive chatbots (Jia, 2004;Ghose and Barua, 2013;Nuruzzaman and Hussain, 2020). However, the scarcity of datasets poses a major challenge in Figure 1: Example of questions generated by the proposed framework, Dialogizer.…”

Section: Introductionmentioning

confidence: 99%

Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources

Hwang,

Kim,

Bae

et al. 2023

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

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To address the data scarcity issue in Conversational question answering (ConvQA), a dialog inpainting method, which utilizes documents to generate ConvQA datasets, has been proposed. However, the original dialog inpainting model is trained solely on the dialog reconstruction task, resulting in the generation of questions with low contextual relevance due to insufficient learning of question-answer alignment. To overcome this limitation, we propose a novel framework called Dialogizer, which has the capability to automatically generate ConvQA datasets with high contextual relevance from textual sources. The framework incorporates two training tasks: question-answer matching (QAM) and topic-aware dialog generation (TDG). Moreover, re-ranking is conducted during the inference phase based on the contextual relevance of the generated questions. Using our framework, we produce four Con-vQA datasets by utilizing documents from multiple domains as the primary source. Through automatic evaluation using diverse metrics, as well as human evaluation, we validate that our proposed framework exhibits the ability to generate datasets of higher quality compared to the baseline dialog inpainting model.

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“…Chatbots in the education industry have been studied by researchers such as Jia (2004), who found that many individuals aimed to interact with chatbots and were interested in the artificial intelligence system. (Elessa, 2023) found that the adoption of E-Accounting is correlated with information security and recommended the continuous development of accounting professionals in gaining skills in electronic work environments.…”

Section: Introduction To Chatgpt and Chatbotsmentioning

confidence: 99%

The Effect of ChatGPT on Business Success

Maalouf

2023

J. Professional Business Review

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Objective: To investigate the role of ChatGPT in Business Success, and to identify the effectiveness of adopting and strategizing ChatGPT. Theoretical Reference: This study is grounded in the theoretical frameworks of artificial intelligence, ChatGPT, Chatbot, and Technology, focusing on their roles in business success. Method: A mono-method quantitative research was adopted, with a deductive approach, and ontology of objectivism. The data was collected using a survey, and the time horizon is cross-sectional. Results and Conclusion: This study found that companies should strategize the use of ChatGPT, and user satisfaction should be prioritized. Customization should be promoted while using ChatGPT, and proactive decision-making is a must. Research Implications: The findings offer valuable insights for companies who want to survive in a fast-changing business environment. Strategically adopting ChatGPT has the potential to enhance business operations, customer satisfaction, and overall success in the increasingly digital and AI-integrated business landscape. Originality/Value: This study contributes to the business success and prosperity, thereby providing a unique perspective.

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Modern Art Design Knowledge Teaching System Based on Cloud Computing Environment

Cited by 4 publications

References 10 publications

Using a Smartphone-Based Chatbot in EFL Learners' Oral Tasks

Using a Smartphone-Based Chatbot in EFL Learners' Oral Tasks

Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources

The Effect of ChatGPT on Business Success

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