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  • 學位論文

素養課程結合點名系統對於學生學習成效之影響─以人工智慧通識課程為例

Impact of Literacy Curriculum and Roll Calling System on Students' Learning Effectiveness —Taking the Artificial Intelligence General Course for Example

指導教授 : 劉士豪

摘要


為因應素養課程的學習發展的趨勢,中原大學開發出「智慧點名系統」因應素養課程的點名需求。而本研究的主要目的是想以點名呈現方式的角度探討不同點名方式對於使用者的課程滿意度、學習成效及動機之影響,將使用者分成兩組,分別以智慧點名系統及傳統點名系統呈現,進而找出影響使用者成效及動機之因素。本研究以實驗法進行研究分析,實驗完成後發放問卷進行資料蒐集及分析,共回收143份有效問卷進行分析,本研究最後結論如下: (一) 點名呈現的方式並不會影響到使用者的有用認知 (二) 點名呈現的方式會影響到使用者的易用認知 (三) AI知識的易用性並不會影響到使用者的課程滿意度 (四) 課程滿意度會影響到主觀學習成效及未來學習動機 (五) AI知識的有用認知會影響到使用者的未來學習動機

並列摘要


In response to the trend of learning and development of literacy courses, Chung Yuan Christian University has developed a "smart roll calling system" to meet the demand of roll call for literacy courses. The main purpose of this study is to explore the impact of different roll call methods on the user's course satisfaction, learning effectiveness and motivation from the perspective of roll call method. The users are divided into two groups, which are presented by the smart roll calling system and the traditional roll call system. , And then identify the factors that affect user effectiveness and motivation. In this study, the experimental method was used for research and analysis. After the experiment was completed, questionnaires were issued for data collection and analysis. A total of 143 valid questionnaires were recovered for analysis. The final conclusions of this study are as follows: 1. The presentation of the roll call will not affect the user’s useful cognition 2. The presentation of the roll call will affect the user’s perception of ease of use 3. The ease of use of AI knowledge will not affect the user’s course satisfaction 4. Course satisfaction will affect subjective learning effectiveness and future learning motivation 5. The useful cognition of AI knowledge will affect the user's future learning motivation

參考文獻


參考文獻
英文文獻:
[1] Dawes, L. (2019). Faculty perceptions of teaching information literacy to first-year students: A phenomenographic study. Journal of Librarianship and Information Science, 51(2), 545-560.
[2] de la Higuera, C. (2019). A preliminary report about Teaching and Learning Artificial Intelligence: Overview of key issues.
[3] Hatlevik, O. E., Throndsen, I., Loi, M., Gudmundsdottir, G. B. (2018). Students’ ICT self-efficacy and computer and information literacy: Determinants and relationships. Computers Education, 118, 107-119.

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