Kuan-Yin Lee’s research while affiliated with Chaoyang University of Technology and other places

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Publications (3)


From Uncertainty to Tenacity: Investigating User Strategies and Continuance Intentions in AI-Powered ChatGPT with Uncertainty Reduction Theory
  • Article

July 2024

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79 Reads

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2 Citations

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Kuan-Yin Lee

The introduction of ChatGPT in academia has raised significant concerns, particularly regarding issues like plagiarism and the ethical use of generative text for academic purposes. Existing literature has predominantly focused on ChatGPT adoption, leaving a notable gap in addressing the strategies users employ to mitigate these emerging challenges. To bridge this gap, this research utilizes the Uncertainty Reduction Theory (URT) to formulate user strategies for reducing uncertainty. These strategies include both interactive and passive approaches. Concurrently, the study identifies key sources of uncertainty, which include concerns related to transparency, information accuracy, and privacy. Additionally, it introduces the concepts of seeking clarification and consulting peer feedback as mediating roles to facilitate reduced uncertainty. We tested these hypotheses with a sample of Indonesian users (N = 566) using structural equation modeling via Smart-PLS 4.0 software. The results confirm that interactive Uncertainty Reduction Strategies (URS) are more effective in reducing uncertainty when using ChatGPT compared to passive URS. Transparency concerns, information accuracy, and privacy concerns are identified as factors that increase the level of uncertainty. In contrast, consulting peer feedback is the most effective strategy for reducing uncertainty compared to seeking clarification at the individual-system level. Insights from the mediating effects confirm that consulting peer feedback significantly mediates uncertainty sources to reduce uncertainty. The study discusses various strategies for the ethical use of ChatGPT by users in the educational context and contributes significantly to theoretical development.



Figure 1. Board game experience and development flow chart.
Source and reliability of facet items, factor analysis.
The average of learning engagement, emotional engagement and interactive engagement on learning outcomes, ANOVA.
Means of Learning engagement, Emotional Engagement, and Interactive Engagement in Board Game Ratings, ANOVA Test.
Learning by Co-Designing a Board Game to Make Chain Store Knowledge More Robust
  • Article
  • Full-text available

April 2023

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110 Reads

Education Sciences

The modern student is used to visual information and needs an engaging, stimulating, and fun method of teaching to make learning enjoyable and memorable. Recently, more and more teachers are changing traditional teaching methods and incorporating the concept of learner-centered teaching into their courses. Students must actively identify gaps in self-knowledge, construct clear learning topics, and then integrate relevant information to explain or solve problems. In order to enhance students’ interest in learning and affect their learning effectiveness, the present study introduces students to problem-oriented and game-based learning methods for solving the development problems of chain board games. Students in the third year already possess basic theoretical knowledge and have achieved relevant learning achievements, such as competition awards, industry/academic experience, class cadre experience, community service, etc. Thus, 125 students from two classes participated in this study via quantitative questionnaires. Data analysis with SPSS data revealed significant differences between learning effectiveness and learning methods, social interaction, and subject engagement; students with good learning outcomes were significantly more likely to organize notes and use methods than those with poor learning outcomes.

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Citations (2)


... Format examines the organization and presentation of information, and accuracy and reliability address the correctness and dependability of the content provided. This comprehensive evaluation, accounting for the positive potentials and risks identified by Foroughi et al. [11]; Strzelecki [12]; Chang, Silalahi, and Lee [13]; and Menon and Shilpa [14], as well as the integrity concerns highlighted by D. Cotton, P. Cotton, and Shipway [15]; Bin-Nashwan, Sadallah, and Bouteraa [16]; Liu et al. [17], and Ansari, Ahmad, and Bhutta [18], seeks to offer an expansive perspective on ChatGPT's effectiveness and to elucidate its role in the academic sector. Through this investigation, the study is aimed at significantly advancing the conversation surrounding the deployment of AI in education and underpinning its practical applications with robust empirical insights. ...

Reference:

Assessing ChatGPT’s Information Quality Through the Lens of User Information Satisfaction and Information Quality Theory in Higher Education: A Theoretical Framework
From Uncertainty to Tenacity: Investigating User Strategies and Continuance Intentions in AI-Powered ChatGPT with Uncertainty Reduction Theory
  • Citing Article
  • July 2024

... UMKM memiliki peran https://penerbitadm.pubmedia.id/index.php/JER yang sangat penting dalam perekonomian global dan local (Lee, 2023). Meskipun memiliki peran strategis, UMKM seringkali menghadapi tantangan dalam mengikuti perkembangan teknologi dan beradaptasi dengan perubahan perilaku konsumen. ...

Usage Intentions of AIGC: From Social Media Conversation Volume and Consumer Analysis
  • Citing Conference Paper
  • December 2023