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| Title: | 生成式 AI 提示能力研究 : 自我效能觀點
Generative AI Prompting Ability: A Self-Efficacy Perspective |
| Authors: | 莊皓揚
Chuang, Hao-Yang |
| Contributors: | 黃葳威
莊皓揚
Chuang, Hao-Yang |
| Keywords: | 生成式 AI
提示工程
自我效能
ChatGPT
大型語言模型
Generative AI
Prompt Engineering
Self-Efficacy
ChatGPT
Large Language Model |
| Date: | 2025 |
| Issue Date: | 2025-07-01 14:10:25 (UTC+8) |
| Abstract: | 在生成式AI(Generative AI)的飛速發展之下，社會各界關注其可能取代人類工作的風險。專家指出，具備有效使用生成式AI能力者，能提升職場競爭力、降低被淘汰之風險，學習使用生成式AI成為加強職場競爭力的重要技能，大型語言模型(Large Language Model)如ChatGPT也成為職場工作者的熱門生產力工具。「提示工程」（Prompt engineering）做為人類與生成式AI有效溝通之技術，本研究將從「提示工程」角度出發，關注職場工作者與生成式AI互動時的行為模式，探討提示能力如何影響其使用動機、自我效能認知，進而形塑生成式AI在工作中的使用選擇與持續效益。
本研究以ChatGPT為例，以問卷調查法蒐集職場工作者使用ChatGPT的經驗與感受，共蒐集有效問卷209份，並以SPSS為工具進行統計分析。研究結果發現，工作中運用生成式AI的動機與效益，來自於AI能顯著提升工作效率與品質。提示能力越佳者，選擇繼續使用生成式AI的可能性亦會提高，並對工作的自我效能態度有正向影響。進一步發現，其自我效能提升將正向影響工作時的AI使用選擇，因為使用者感到自我效能提升時，將強化其選擇繼續使用AI解決工作任務的行為，形成良性循環。
最後，本研究基於研究結果整理出關於理論與實務層面各三點討論，並補充研究限制與建議，供後續研究參考。
As Generative AI rapidly advances, public concern has grown over its potential to replace human labor. Experts suggest that individuals equipped with the ability to effectively utilize Generative AI can enhance their workplace competitiveness and reduce their risk of being displaced. Accordingly, learning how to operate Generative AI has emerged as a crucial professional skill. Large Language Models (LLMs), such as ChatGPT, have also become widely adopted tools for workplace productivity.
This study adopts the perspective of prompt engineering—a key technique for optimizing human-AI interaction—to explore how professionals engage with Generative AI in their work routines. Specifically, it examines how prompt ability influences users’ motivation, perceived self-efficacy, and ultimately their decision-making related to the continued use of AI tools in professional contexts.
Using ChatGPT as the focal case, the research employs a questionnaire-based survey method, collecting 209 valid responses from working professionals. Data were analyzed using SPSS. The results indicate that motivation for using Generative AI at work is largely driven by its capacity to enhance efficiency and output quality. Individuals with stronger prompt skills are more likely to continue using Generative AI and report higher levels of self-efficacy in work-related tasks. Furthermore, improvements in self-efficacy are shown to positively impact users’ willingness to rely on AI for job execution, fostering a reinforcing cycle of use.
Based on these findings, the study outlines three theoretical and three practical implications, and further offers limitations and suggestions for future research. |
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| Description: | 碩士
國立政治大學
傳播學院傳播碩士學位學程
108464036 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0108464036 |
| Data Type: | thesis |
| Appears in Collections: | [傳播學院傳播碩士學位學程] 學位論文
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