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研究生: 王裕仁
Yu-Jen Wang
論文名稱: 機器人媒介的雙層次測驗互動模式對小學生學習成就與感受之影響
Effects of a robot-mediated two-tier interactive mode on elementary school students’ learning achievement and perceptions
指導教授: 黃國禎
Gwo-Jen Hwang
口試委員: 陳秀玲
Hsiu‑Ling Chen
宋涵鈺
Han-Yu Sung
學位類別: 碩士
Master
系所名稱: 人文社會學院 - 數位學習與教育研究所
Graduate Institute of Digital Learning and Education
論文出版年: 2023
畢業學年度: 111
語文別: 中文
論文頁數: 83
中文關鍵詞: 學習成就學習動機心流體驗科技接受度學習焦慮認知負荷歷史教學雙層次測驗機器人教育
外文關鍵詞: learning achievement, learning motivation, flow, technology acceptance, learning anxiety, cognitive load, history teaching, two-tier test, robotics education
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  • 在網路學習環境中,如何評量學生的學習狀態,並給予適當的回饋,是一個很重要的議題。雙層次測驗 (two-tier test) 被學者認為是一種有效的評量與回饋策略,有助於確認學生對於學習內容的瞭解程度,以及發現他們可能的迷思概念 (misconception) 。儘管透過這個策略可以提升學生的成績,但對於解決學生的學習焦慮仍然是一個挑戰。學者指出,透過機器人的互動模式,不只可以促進學習意願,更能透過機器人臉部的表情與肢體動作,增加學生在認知方面的投入程度。為了研究雙層次測驗與機器人結合的教學方法是否有效,本研究開發了機器人媒介的雙層次測驗互動模式 (Robot-mediated two-tier interactive mode, R-TTIM) ;同時,本研究在小學歷史課程設計了一個實驗,以探討所提出的評量模式的效果。參與者為三個班級的小學五年級學生;隨機抽樣分為二組,一組為實驗組,透過機器人媒介的雙層次測驗互動模式進行評量;另一組為控制組,透過網路媒介的雙層次測驗互動模式 (Web-mediated two-tier interactive mode, W-TTIM) 進行評量。實驗結果顯示,實驗組和對照組在各項學習成效上皆無統計上的顯著差異;這與原先的預期不同。於是,研究者進一步分析受測者的訪談內容,以了解兩組學生對於不同媒介引導模式的看法及感受;同時,探討機器人媒介的互動模式沒有達到預期成效的原因。最後,研究者提出本研究的限制和建議,以作為未來進行相關研究的參考。


    It is important to evaluate students' situation of their studying, and to give proper feedback, in the environment of online learning. Researchers have indicated that two-tier test is a kind of effective strategy for feedback and evaluation by ensuring students' understanding as well as finding their possible misconceptions for the learning content they are studying. Despite the students' grades are improved using this strategy, solving their anxious problem remains a challenge. Several previous studies have reported that, learning from robots which have physical actions and facial reactions could not only boost students’ learning willingness, but also improve their learning engagement. Therefore, this research proposed a robot-mediated two-tier interactive mode (R-TTIM). To exam the effectiveness of the proposed approach, an experiment was conducted on an elementary school history course. The participants were three classes of fifth graders, who were randomly assigned to an experimental group using the R-TTIM and a control group using Web-mediated two-tier interactive mode (W-TTIM). There were no significant differences between the learning achievements and perceptions of the two groups, which is different from our expectations. Therefore, we analyzed the interview results to investigate the students’ perceptions of the learning process and to explore the reasons why the experimental results did not meet our expectations. Accordingly, we have raised suggestions and limitations for further studies.

    摘要 I Abstract II 誌謝 III 目錄 IV 圖目錄 VI 表目錄 VII 第一章 緒論 1 第一節、研究背景與動機 1 第二節、研究目的與問題 2 第三節、名詞釋義 3 第四節、論文架構 5 第二章 文獻探討 7 第一節、歷史教學 7 第二節、雙層次測驗 8 第三節、機器人教育 9 第三章 系統開發 12 第一節、系統架構及功能 12 第二節、雙層次測驗模組開發 16 第三節、網路媒介的雙層次測驗互動模式開發與學習介面 17 第四節、機器人媒介的雙層次測驗互動模式開發與學習介面 20 第四章 研究方法 23 第一節、研究架構 23 第二節、研究對象 25 第三節、研究流程 26 第四節、研究工具 30 第五節、資料處理與分析 32 第五章 研究結果與分析 33 第一節、學習成就 33 第二節、學習動機 34 第三節、心流體驗 35 第四節、科技接受度 35 第五節、學習焦慮 36 第六節、認知負荷 37 第七節、半結構式訪談 38 第六章 結論與未來展望 43 第一節、研究結果與討論 43 第二節、研究限制與未來研究建議 46 參考文獻 48 附錄1. 雙層次測驗預試學習單 59 附錄2. 學習成就前測驗 61 附錄3. 學習成就後測驗 63 附錄4. 實驗前後測與問卷數據 65 附錄5. 訪談內容 70

    【外文部分】
    Adams, D. M., McLaren, B. M., Durkin, K., Mayer, R. E., Rittle-Johnson, B., Isotani, S., & Van Velsen, M. (2014). Using erroneous examples to improve mathematics learning with a web-based tutoring system. Computers in Human Behavior, 36, 401-411. https://doi.org/10.1016/j.chb.2014.03.053
    Admiraal, W., Huizenga, J., Akkerman, S., & Ten Dam, G. (2011). The concept of flow in collaborative game-based learning. Computers in human behavior, 27(3), 1185-1194. https://doi.org/10.1016/j.chb.2010.12.013
    Alemi, M., Meghdari, A., & Haeri, N. S. (2017, November 22-24). Young EFL learners’ attitude towards RALL: An observational study focusing on motivation, anxiety, and interaction. 9th International Conference on Social Robotics, ICSR 2017, Tsukuba, Japan. https://doi.org/10.1007/978-3-319-70022-9_25
    Al‐Rubayea, A. A. M. (1996). An analysis of Saudi Arabia high school students’ misconceptions about physics concepts (UMI No. 9629018) [Doctoral dissertation, Kansas State University]. Dissertation Abstracts International.
    Anwar, S., Bascou, N. A., Menekse, M., & Kardgar, A. (2019). A systematic review of studies on educational robotics. Journal of Pre-College Engineering Education Research (J-PEER), 9(2), 2. https://doi.org/10.7771/2157-9288.1223
    Aydin, S., Akkaş, F. D., Türnük, T., Beydilli, A. B., & Saydam, İ. (2020). Test Anxiety among Foreign Language Learners: A Qualitative Study. The Qualitative Report, 25(12), 4289-4309.
    Bain, R. B. (2005). “They thought the world was flat?” Applying the principles of How People Learn in teaching high school history. In M. S. Donovan & J. D. Bransford (Eds.), How students learn: History, mathematics, and science in the classroom (pp. 179–213). Washington, DC: National Academies Press.
    Belpaeme, T., Kennedy, J., Ramachandran, A., Scassellati, B., & Tanaka, F. (2018). Social robots for education: A review. Science robotics, 3(21). https://doi.org/10.1126/scirobotics.aat5954
    Barendregt, W., & Bekker, T. M. (2011). The influence of the level of free-choice learning activities on the use of an educational computer game. Computers & Education, 56(1), 80-90. https://doi.org/10.1016/j.compedu.2010.08.018
    Baxter, P., Ashurst, E., Read, R., Kennedy, J., & Belpaeme, T. (2017). Robot education peers in a situated primary school study: Personalisation promotes child learning. PLOS ONE, 12(5), e0178126. https://doi.org/10.1371/journal.pone.0178126
    Botev, J., & Rodríguez Lera, F. J. (2021). Immersive robotic telepresence for remote educational scenarios. Sustainability, 13(9), 4717. https://doi.org/10.3390/su13094717
    Caleon, I., & Subramaniam, R. (2009). Development and Application of a Three‐Tier Diagnostic Test to Assess Secondary Students’ Understanding of Waves. International Journal of Science Education, 32(7), 939–961. https://doi.org/10.1080/09500690902890130
    Calvo, M. G., Eysenck, M. W. (1996). Phonological working memory and reading in test anxiety. Memory, 4(3), 289-306. https://doi.org/10.1080/096582196388960
    Chang, C. Y., Hwang, G. J., Chou, Y. L., Xu, Z. Y., & Jen, H. J. (2023). Effects of robot-assisted digital storytelling on hospitalized children’s communication during the COVID-19 pandemic. Educational technology research and development, 1-13. https://doi.org/10.1007/s11423-023-10209-0
    Chang, H. P., Chen, J. Y., Guo, C. J., Chen, C. C., Chang, C. Y., Lin, S. H., Su, W. J., Lain, K.D., Hsu, S. Y., Lin, J. L., Chen, C. C., Cheng, Y. T., Wang, L. S., & Tseng, Y. T. (2007). Investigating Primary and Secondary Students’ Learning of Physics Concepts in Taiwan. International Journal of Science Education, 29(4), 465-482. https://doi.org/10.1080/09500690601073210
    Chang, I. C., Yang, C. Y., & Yen, C. E. (2022). The Effects of a Computer Game (Healthy Rat King) on Preschool Children’s Nutritional Knowledge and Junk Food Intake Behavior: Nonrandomized Controlled Trial. JMIR Serious Games, 10(3), e33137. https://doi.org/10.2196/33137
    Chang, S. C., Hsu, T. C., Kuo, W. C., & Jong, M. S. Y. (2020). Effects of applying a VR‐based two‐tier test strategy to promote elementary students’ learning performance in a Geology class. British Journal of Educational Technology, 51(1), 148-165. https://doi.org/10.1111/bjet.12790
    Chen, C. M. (2008). Intelligent web-based learning system with personalized learning path guidance. Computers & Education, 51(2), 787-814. https://doi.org/10.1016/j.compedu.2007.08.004
    Chu, H. C., & Chang, S. C. (2014). Developing an educational computer game for migratory bird identification based on a two-tier test approach. Educational Technology Research and Development, 62, 147-161. https://doi.org/10.1007/s11423-013-9323-4
    Chu, H. C., Hwang, G. J., Tsai, C. C., & Tseng, J. C. R. (2010). A two-tier test approach to developing location-aware mobile learning systems for natural science courses. Computers & Education, 55(4), 1618–1627. https://doi.org/10.1016/j.compedu.2010.07.004
    Chou, C., Tsai, C. C., & Chan, P. S. (2007). Developing a web‐based two‐tier test for internet literacy. British Journal of Educational Technology, 38(2), 369-372. https://doi-org.ezproxy.lib.ntust.edu.tw/10.1111/j.1467-8535.2006.00644.x
    Clark, R. E. (1983). Reconsidering research on learning from media. Review of educational research, 53(4), 445-459. https://doi.org/10.3102/00346543053004445
    Collins, J., Chand, S., Vanderkop, A., & Howard, D. (2021). A review of physics simulators for robotic applications. IEEE Access, 9, 51416-51431. https://doi.org/10.1109/ACCESS.2021.3068769
    Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York: Harper-Perennial.
    Csikszentmihalyi, M. (1997). Finding flow: The psychology of engagement with everyday life. New York: Basic Books
    Darmawan, W. , Fauzi, W. I., Santosa, A. B., & Nisa, J. A. (2022). Students' response to the implementation of brain-based learning (the BBL) approach in history teaching. Cypriot Journal of Educational Sciences, 17(9), 3409-3422. https://doi.org/10.18844/cjes.v17i9.8080
    Darmawansah, D., Hwang, G. J., Chen, M. R. A., & Liang, J. C. (2023). Trends and research foci of robotics-based STEM education: a systematic review from diverse angles based on the technology-based learning model. International Journal of STEM Education, 10(1), 1-24. https://doi.org/10.1186/s40594-023-00400-3
    David, O. A., & David, D. (2022). How can we best use technology to teach children to regulate emotions? efficacy of the cognitive reappraisal strategy based on robot versus cartoons versus written statements in regulating test anxiety. Journal of Rational-Emotive & Cognitive-Behavior Therapy, 40(4), 793-802. https://doi.org/10.1007/s10942-021-00440-0
    Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. https://doi.org/10.2307/249008
    Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-detennination in human behavior. New York, Plenum.
    Encheva, S., & Tumin, S. (2005, November 20-22). Web-based assessment tests supporting learning. 6th International Workshop on Web Information Systems Engineering, WISE 2005, New York, USA.
    Esquivel, P., McGarvey, L., Phelan, S., & Adams, K. (2022). Exploring environmental factors affecting assistive technology strategies in mathematics learning for students with physical disabilities. Disability and Rehabilitation: Assistive Technology, 1-12. https://doi.org/10.1080/17483107.2022.2062465
    Fadli, M. R., Rochmat, S., Sudrajat , A., Aman, Rohman , A., & Kuswono (2022). Flipped classroom in history learning to improve students’ critical thinking. International Journal of Evaluation and Research in Education, 11(3), 1416-1423. https://doi.org/10.11591/ijere.v11i3.22785
    Fennema, E., & Sherman, J. A. (1976). Fennema-Sherman mathematics attitudes scales: Instruments designed to measure attitudes toward the learning of mathematics by females and males. Journal for research in Mathematics Education, 7(5), 324-326. https://doi.org/10.5951/jresematheduc.7.5.0324
    Fong, T., Nourbakhsh, I., & Dautenhahn, K. (2003). A survey of socially interactive robots. Robotics and autonomous systems, 42(3-4), 143-166. https://doi.org/10.1016/S0921-8890(02)00372-X
    Goksu, I., & Islam Bolat, Y. (2021). Does the ARCS motivational model affect students’ achievement and motivation? A meta‐analysis. Review of Education, 9(1), 27-52. https://doi.org/10.1002/rev3.3231
    Guay, F., Ratelle, C. F., & Chanal, J. (2008). Optimal learning in optimal contexts: The role of self-determination in education. Canadian psychology/Psychologie canadienne, 49(3), 233. https://doi.org/10.1037/a0012758
    Haapasalo, L., & Samuels, P. (2011). Responding to the challenges of instrumental orchestration through physical and virtual robotics. Computers & Education, 57(2), 1484-1492. https://doi.org/10.1016/j.compedu.2011.02.006
    Haslam, F., & Treagust, D. F. (1987). Diagnosing secondary students' misconceptions of photosynthesis and respiration in plants using a two-tier multiple choice instrument. Journal of biological education, 21(3), 203-211. https://doi.org/10.1080/00219266.1987.9654897
    Hattie, J., & Anderman, E. M. (Eds.). (2013). International guide to student achievement. Routledge.
    Helm, H. (1980). Misconceptions in physics amongst South African students. Physics Education, 15(2), 92–105. https://doi.org/10.1088/0031-9120/15/2/308
    Hilz, A., Guill, K., Roloff, J., Sommerhoff, D., & Aldrup, K. (2023). How to Continue? New Approaches to Investigating the Effects of Adaptive Math Learning Programs on Students’ Performance, Self-Concept, and Anxiety. Journal of Intelligence, 11(6), 108. https://doi.org/10.3390/jintelligence11060108
    Hong, Z. W., Huang, Y. M., Hsu, M., & Shen, W. W. (2016). Authoring robot-assisted instructional materials for improving learning performance and motivation in EFL classrooms. Educational Technology & Society, 19(1), 337–349.
    Hooshyar, D., Malva, L., Yang, Y., Pedaste, M., Wang, M., & Lim, H. (2021). An adaptive educational computer game: Effects on students' knowledge and learning attitude in computational thinking. Computers in Human Behavior, 114, 106575. https://doi.org/10.1016/j.chb.2020.106575
    Hsu, T. C., Wong, L. H., & Aw, G. P. (2020, July 6-9). Learning Chinese as a second language by educational robots integrating the operation of conditional logic in computational thinking and the usage of the causal sentences. IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020, Virtual, Online. https://doi.org/10.1109/ICALT49669.2020.00077
    Huang, C. J., Liu, M. C., Chu, S. S., & Cheng, C. L. (2007). An intelligent learning diagnosis system for Web-based thematic learning platform. Computers & Education, 48(4), 658-679. https://doi.org/10.1016/j.compedu.2005.04.016
    Hwang, G. J., Chen, H. C., Hsu, C. Y., & Hwang, G. H. (2023a). Effects of a graphic organizer-based two-tier test approach on students’ learning achievement and behaviors in spherical video-based virtual learning contexts. Computers & Education, 198, 104757. https://doi.org/10.1016/j.compedu.2023.104757
    Hwang, G. J., Chiu, M. C., Hsia, L. H., & Chu, H. C. (2023b). Promoting art appreciation performances and behaviors in effective and joyful contexts: A two-tier test-based digital gaming approach. Computers & Education, 194, 104706. https://doi.org/10.1016/j.compedu.2022.104706
    Hwang, G. J., Yang, L. H., & Wang, S. Y. (2013), A concept map-embedded educational computer game for improving students’ learning performance in natural science courses. Computers & Education, 69, 121-130. https://doi.org/10.1016/j.compedu.2013.07.008
    Hwang, G. J., Yang, T. C., Tsai, C. C., & Yang, Stephen J. H. (2009). A context-aware ubiquitous learning environment for conducting complex science experiments. Computers & Education, 53(2), 402-413. https://doi.org/10.1016/j.compedu.2009.02.016
    Joventino, C. F., Silva, R. D. A. A. E., Pereira, J. H., Yabarrena, J. M. S. C., & de Oliveira, A. S. (2023). A Sim-to-real Practical Approach to Teach Robotics into K-12: A Case Study of Simulators, Educational and DIY Robotics in Competition-based Learning. Journal of Intelligent & Robotic Systems, 107(1), 14. https://doi.org/10.1007/s10846-022-01790-2
    Kabassi, K., & Virvou, M. (2003). Using web services for personalised web-based learning. Journal of Educational Technology & Society, 6(3), 61-71.
    Kennedy, J., Baxter, P., & Belpaeme, T. (2015). Comparing robot embodiments in a guided discovery learning interaction with children. International Journal of Social Robotics, 7, 293-308. https://doi.org/10.1007/s12369-014-0277-4
    Lee, J. S., Cho, H., Gay, G., Davidson, B., & Ingraffea, A. (2003). Technology acceptance and social networking in distance learning. Journal of Educational Technology & Society, 6(2), 50-61.
    Li, F. Y., Hwang, G. J., Chen, P. Y., & Lin, Y. J. (2021). Effects of a concept mapping-based two-tier test strategy on students’ digital game-based learning performances and behavioral patterns. Computers & Education, 173, 104293. https://doi.org/10.1016/j.compedu.2021.104293.
    Li, J. (2015). The benefit of being physically present: A survey of experimental works comparing copresent robots, telepresent robots and virtual agents. International Journal of Human-Computer Studies, 77, 23-37. https://doi.org/10.1016/j.ijhcs.2015.01.001
    Lin, C. Y., & Wang, T. H. (2017). Implementation of personalized e-assessment for remedial teaching in an e-learning environment. Eurasia Journal of Mathematics, Science and Technology Education, 13(4), 1045-1058. https://doi.org/10.12973/eurasia.2017.00657a
    Ma, X. (1999). A meta-analysis of the relationship between anxiety toward mathematics and achievement in mathematics. Journal for research in mathematics education, 30(5), 520-540. https://doi.org/10.2307/749772
    Master, A., Cheryan, S., Moscatelli, A., & Meltzoff, A. N. (2017). Programming experience promotes higher STEM motivation among first-grade girls. Journal of experimental child psychology, 160, 92-106. https://doi.org/10.1016/j.jecp.2017.03.013
    Mayer, R. E., Heiser, J., & Lonn, S. (2001). Cognitive constraints on multimedia learning: When presenting more material results in less understanding. Journal of educational psychology, 93(1), 187-198. https://doi.org/10.1037/0022-0663.93.1.187
    Mello, R. M. D. (2019). Ninguém ensina história... mas todo mundo aprende um pouco com ela: Uma reflexão sobre as funções da história no ensino médio [Nobody teaches History... but everyone learns a little with it: a reflection on the goals of History in High School]. História (São Paulo), 38, 1-17. https://doi.org/10.1590/1980-4369e2019018
    Miller, M., Barwood, D., Devine, A., Boston, J., Smith, S., & Masek, M. (2023). Rethinking Adolescent School Nutrition Education Through a Food Systems Lens. Journal of School Health. https://doi.org/10.1111/josh.13351
    Mitnik, R., Nussbaum, M., & Soto, A. (2008). An autonomous educational mobile robot mediator. Autonomous Robots, 25(4), 367–382. https://doi.org/10.1007/s10514-008-9101-z
    Mori, M., MacDorman, K. F., & Kageki, N. (2012). The uncanny valley [from the field]. IEEE Robotics & automation magazine, 19(2), 98-100. https://doi.org/10.1109/MRA.2012.2192811
    Nourbakhsh, I. R., Hamner, E., Crowley, K., & Wilkinson, K. (2004, April 26- May 1). Formal measures of learning in a secondary school mobile robotics course. IEEE International Conference on Robotics and Automation, New Orleans, USA. https://doi.org/10.1109/ROBOT.2004.1308090
    Pearce, J. M., Ainley, M., & Howard, S. (2005). The ebb and flow of online learning. Computers in Human Behavior, 21(5), 745-771. https://doi.org/10.1016/j.chb.2004.02.019
    Peters, W. (2011). Film in history education: A review of the literature. The Social Studies, 111(6), 275–295. https://doi.org/10.1080/00377996.2020.1757598
    Peterson, R. F., Treagust, D. F., & Garnett, P. (1989). Development and application of a diagnostic instrument to evaluate grade-11 and -12 students’ concepts of covalent bonding and structure following a course of instruction. Journal of Research in Science Teaching, 26(4), 301–314. https://doi.org/10.1002/tea.3660260404
    Piña D. & María O (2022). History Teaching in Secondary Education: Educational Change Through Innovative Didactic Projects. Panta Rei, 16, 137-161. https://doi.org/10.6018/pantarei.510591
    Pintrich, P. R., Smith, D. A., Garcia, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and psychological measurement, 53(3), 801-813. https://doi.org/10.1177/0013164493053003024
    Raz, T. (1989). Graphics robot simulator for teaching introductory robotics. IEEE TRANSACTIONS ON EDUCATION, 32(2), 153–159. https://doi.org/10.1109/13.28048
    Roberts, A. (2016). The history of science fiction. London: Palgrave Macmillan. https://doi.org/10.1057/978-1-137-56957-8
    Schoenfeld, A. H. (1988). When good teaching leads to bad results: The disasters of 'well-taught' mathematics courses. Educational psychologist, 23(2), 145-166. https://doi.org/10.1207/s15326985ep2302_5
    Smits, M. H., Boon, J., Sluijsmans, D. M., & Van Gog, T. (2008). Content and timing of feedback in a web-based learning environment: Effects on learning as a function of prior knowledge. Interactive Learning Environments, 16(2), 183-193. https://doi.org/10.1080/10494820701365952
    Sugimoto, M. (2011). A mobile mixed-reality environment for children's storytelling using a handheld projector and a robot. IEEE Transactions on Learning Technologies, 4(3), 249-260. https://doi.org/10.1109/TLT.2011.13
    Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive science, 12(2), 257-285. https://doi.org/10.1016/0364-0213(88)90023-7
    Sweller, J., Van Merrienboer, J. J., & Paas, F. G. (1998). Cognitive architecture and instructional design. Educational psychology review, 10, 251-296. https://doi.org/10.1023/A:1022193728205
    Tamir, P. (1971). An alternative approach to the construction of multiple choice test items. Journal of Biological Education, 5(6), 305-307. https://doi.org/10.1080/00219266.1971.9653728
    Treagust, D. F. (1988). Development and use of diagnostic tests to evaluate students’ misconceptions in science. International Journal of Science Education, 10(2), 159–169. https://doi.org/10.1080/0950069880100204
    Treagust, D. F., & Chandrasegaran, A. L. (2007). The Taiwan national science concept learning study in an international perspective. International Journal of Science Education, 29(4), 391-403. https://doi.org/10.1080/09500690601072790
    Tsai, C. C. (2003). Using a conflict map as an instructional tool to change student alternative conceptions in simple series electric-circuits. International journal of science education, 25(3), 307-327. https://doi.org/10.1080/09500690210145756
    Tsai, C. C., & Chou, C. (2002). Diagnosing students' alternative conceptions in science. Journal of computer assisted learning, 18(2), 157-165. https://doi.org/10.1046/j.0266-4909.2002.00223.x
    Tsai, M. J., Wang, C. Y., Wu, A. H., & Hsiao, C. Y. (2021). The development and validation of the robotics learning self-efficacy scale (RLSES). Journal of educational computing research, 59(6), 1056-1074. https://doi.org/10.1177/0735633121992594
    Tsay, C. H. H., Kofinas, A. K., Trivedi, S. K., & Yang, Y. (2020). Overcoming the novelty effect in online gamified learning systems: An empirical evaluation of student engagement and performance. Journal of Computer Assisted Learning, 36(2), 128-146. https://doi.org/10.1111/jcal.12385
    VanSledright, B. (2002). In search of America’s past: Learning to read history in elementary school. New York, NY: Teachers College Press.
    Verhoeven, L., Schnotz, W., & Paas, F. (2009). Cognitive load in interactive knowledge construction. Learning and instruction, 19(5), 369-375. https://doi.org/10.1016/j.learninstruc.2009.02.002
    Wang, L. C., & Chen, M. P. (2010). The effects of game strategy and preference‐matching on flow experience and programming performance in game‐based learning. Innovations in Education and Teaching International, 47(1), 39-52. https://doi.org/10.1080/14703290903525838
    Wang, T. H. (2014). Developing an assessment-centered e-Learning system for improving student learning effectiveness. Computers & Education, 73, 189-203. https://doi.org/10.1016/j.compedu.2013.12.002
    Wang, X. M., Wang, S. M., Wang, J. N., Hwang, G. J., & Xu, S. (2023). Effects of a two-tier test strategy on students’ digital game-based learning performances and flow experience in environmental education. Journal of Educational Computing Research, 60(8), 1942-1968. https://doi.org/10.1177/07356331221095162
    Warr, P., & Downing, J. (2000). Learning strategies, learning anxiety and knowledge acquisition. British journal of Psychology, 91(3), 311-333. https://doi.org/10.1348/000712600161853
    Will, P., Rothwell, A., Chisholm, J. D., Risko, E. F., & Kingstone, A. (2020). Cognitive load but not immersion plays a significant role in embodied cognition as seen through the spontaneous act of leaning. Quarterly Journal of Experimental Psychology, 73(11), 2000-2007. https://doi.org/10.1177/1747021820939088
    Wilson, T. D. (2002). The nonsense of knowledge management. Information Research, 8(1), 1–8. http://informationr.net/ir/8-1/paper144.html
    Wongwatkit, C., Srisawasdi, N., Hwang, G. J., & Panjaburee, P. (2017). Influence of an integrated learning diagnosis and formative assessment-based personalized web learning approach on students learning performances and perceptions. Interactive Learning Environments, 25(7), 889-903. https://doi.org/10.1080/10494820.2016.1224255
    Woolfolk, A., & Margetts, K. (2012). Educational psychology Australian edition. Pearson Higher Education AU.
    Yang, K. H., & Lu, B. C. (2021). Towards the successful game-based learning: Detection and feedback to misconceptions is the key. Computers & Education, 160, 104033. https://doi.org/10.1016/j.compedu.2020.104033
    Yang, T. C., Chen, S. Y., & Hwang, G. J. (2015). The influences of a two-tier test strategy on student learning: A lag sequential analysis approach. Computers & education, 82, 366-377. https://doi.org/10.1016/j.compedu.2014.11.021
    Zeng, J. (2023). A theoretical review of the role of teacher professional development in EFL students’ learning achievement. Heliyon, 9(5). https://doi.org/10.1016/j.heliyon.2023.e15806
    Zhang, Y., Luo, R., Zhu, Y., & Yin, Y. (2021). Educational robots improve K-12 students’ computational thinking and STEM attitudes: systematic review. Journal of Educational Computing Research, 59(7), 1450-1481. https://doi.org/10.1177/0735633121994070

    【中文部分】
    中島健一 (編) (1934) 。中島商事株式會社商報 冬物 第214號。中島商事株式會。
    黃秀政、張勝彥、吳文星 (2004) 。臺灣史。五南。
    湯維玲 (主編) (2022) 。國民小學社會5下 (第六冊乙版) (修訂3版) 。南一書局。
    臺灣省文獻委員會 (編) (1995)。臺灣近代史 政治篇。臺灣省文獻委員會。

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