研究生: |
邱楚涵 Zu-Heng Khoo |
---|---|
論文名稱: |
問題解決導向之運算思維教學模式結合教育機器人對國小學生在非資訊領域課程之問題解決能力和問題解決態度的影響 The Impact of Problem-solving-based Framework of Computational Thinking Teaching Model and Educational Robots on Elementary School Students’ Problem-solving Ability and Attitude in Non-information Courses |
指導教授: |
鄭海蓮
Hi-Lian Jeng |
口試委員: |
許庭嘉
Ting-Chia Hsu 曾厚強 Hou-Chiang Tseng |
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: | 86 |
中文關鍵詞: | 問題解決導向運算思維教學模式 、問題解決能力 、問題解決態度 、教育機器人 、國小學生 |
外文關鍵詞: | problem-solving-based computational thinking teaching model, problem-solving ability, problem-solving attitude, educational robots, elementary school students |
相關次數: | 點閱:465 下載:0 |
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本研究旨在發展一套以問題解決為導向的運算思維教學模式與教學案例,並結合教育機器人,應用於國小非資訊領域課程,以瞭解其對國小學生以運算思維解決問題的能力和態度的影響。研究對象為17位國小六年級學生,參與內容聚焦於瞭解聯合國永續發展目標中關於人權重要性為主題的12節課,採用量化與質性方法,分析國小學生問題解決能力和問題解決態度,及學生課後訪談的記錄結果。
研究結果顯示,在實驗課程結束後,國小學生以運算思維解決問題能力的前、後測呈現顯著的進步,而在面對日常生活時解決問題的態度無顯著的前、後測差異,但從訪談學生的回饋中瞭解到,對學生以運算思維解決問題的態度有正向影響,國小學生從被動式解決問題轉變為主動式尋求幫助,會透過團隊合作的方式解決問題,且在解決問題的過程中不斷的自我反思。此外,針對實驗課程後的觀點感受,國小學生希望此教學模式可以延續應用於其他學科,以增加課程趣味及提升學生參與動機。
The study aimed to develop a problem-solving-based framework for teaching Computational Thinking (CT), integrated with educational robotics, and applied to non-computer science subjects at the elementary school level. The intention is to assess its impact on problem-solving abilities and attitudes of elementary school students towards computational thinking. The research sample consists of 17 sixth-grade elementary students who participated in a 12-session curriculum. This curriculum aimed to foster an understanding of the significance of human rights within the context of the United Nations Sustainable Development Goals (SDGs). The research utilized both quantitative and qualitative methodologies to analyze the problem-solving abilities and attitudes of the elementary students. Additionally, it examined the recorded outcomes of post-course student interviews.
The findings reveal a significant improvement in the pre- and post-test scores of elementary school students' problem-solving abilities based on computational thinking. While there was no significant difference in their attitudes toward problem-solving in daily life between the pre- and post-tests, insights from student feedback during interviews indicate a positive impact on their attitudes toward problem-solving through computational thinking. Students shifted from passive problem-solving to actively seeking help, employing team collaboration to solve problems, and engaging in continuous self-reflection during the problem-solving process. Furthermore, regarding post-course perspectives and experiences, elementary school students expressed a desire for the instructional model to be continued across other subjects, aiming to enhance the course's appeal and promote increased student engagement.
一、中文文獻
呂素雯(2002)。自然科創造性問題解決教學對國小六年級學童問題解決能力、態度及學習成就之影響研究(未出版之碩士論文)。臺北市立教育大學,臺北市。
國家教育研究院(2016)。十二年國教科技領域「資訊科技」科目課程綱要草案。取自 https://www.naer.edu.tw/ezfiles/0/1000/attach/92/pta_10229_131308_94274.pdf
林育慈、吳正己(2016)。運算思維與中小學資訊科技課程。教育脈動,6,5-20。
二、英文文獻
Abdul Wahab, N., Talib, O., Razali, F., & Kamarudin, N. (2021). The big why of implementing computational thinking in STEM education: A systematic literature review. Malaysian Journal of Social Sciences and Humanities (MJSSH), 6(3), 272-289. https://doi.org/10.47405/mjssh.v6i3.706
Alam, A. (2022). Educational robotics and computer programming in early childhood education: A conceptual framework for assessing elementary school students’ computational thinking for designing powerful educational scenarios. 2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN). https://doi.org/10.1109/icstsn53084.2022.9761354
Alimisis, D. (2013). Educational robotics: Open questions and new challenges. Themes in Science and Technology Education, 6(1), 63-71.
Alimisis, D., & Kynigos, C. (2009). Constructionism and robotics in education. Teacher education on robotic-enhanced constructivist pedagogical methods, 11-26.
Alves-Oliveira, P., Sequeira, P., & Paiva, A. (2016). The role that an educational robot plays. 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). https://doi.org/10.1109/roman.2016.7745213
Angeli, C., & Giannakos, M. (2020). Computational thinking education: Issues and challenges. Computers in Human Behavior, 105, 106185. https://doi.org/10.1016/j.chb.2019.106185
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). https://doi.org/10.7771/2157-9288.1223
Ardito, G., Czerkawski, B., & Scollins, L. (2020). Learning computational thinking together: Effects of gender differences in collaborative middle school robotics program. TechTrends, 64(3), 373-387. https://doi.org/10.1007/s11528-019-00461-8
Arık, M., & Topçu, M. S. (2021). Computational thinking integration into science classrooms: Example of digestive system. Journal of Science Education and Technology, 31(1), 99-115. https://doi.org/10.1007/s10956-021-09934-z
Atman Uslu, N., Yavuz, G. Ö., & Koçak Usluel, Y. (2022). A systematic review study on educational robotics and robots. Interactive Learning Environments, 1-25. https://doi.org/10.1080/10494820.2021.2023890
Atmatzidou, S., & Demetriadis, S. (2016). Advancing students’ computational thinking skills through educational robotics: A study on age and gender relevant differences. Robotics and Autonomous Systems, 75, 661-670. https://doi.org/10.1016/j.robot.2015.10.008
Bai, H., Wang, X., & Zhao, L. (2021). Effects of the problem-oriented learning model on middle school students’ computational thinking skills in a python course. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.771221
Barr, D., Harrison, J., & Conery, L. (2011). Computational thinking: A digital age skill for everyone. Learning & Leading with Technology, 38(6), 20-23.
Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12. ACM Inroads, 2(1), 48-54. https://doi.org/10.1145/1929887.1929905
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
Berland, M., & Wilensky, U. (2015). Comparing virtual and physical robotics environments for supporting complex systems and computational thinking. Journal of Science Education and Technology, 24(5), 628-647. https://doi.org/10.1007/s10956-015-9552-x
Binbin Liu, & Zhen Lu. (2023). Design of spoken English teaching based on artificial intelligence educational robots and wireless network technology. ICST Transactions on Scalable Information Systems, e12. https://doi.org/10.4108/eetsis.v10i3.3048
Chaidi, E., Kefalis, C., Papagerasimou, Y., & Drigas, A. (2021). Educational robotics in primary education. A case in Greece. Research, Society and Development, 10(9), e17110916371. https://doi.org/10.33448/rsd-v10i9.16371
Chalkiadaki, A. (2018). A systematic literature review of 21st century skills and competencies in primary education. International Journal of Instruction, 11(3), 1-16. https://doi.org/10.12973/iji.2018.1131a
Chen Hsieh, J., & Lee, J. S. (2021). Digital storytelling outcomes, emotions, grit, and perceptions among EFL middle school learners: Robot-assisted versus PowerPoint-assisted presentations. Computer Assisted Language Learning, 36(5-6), 1088-1115. https://doi.org/10.1080/09588221.2021.1969410
Chen, G., Shen, J., Barth-Cohen, L., Jiang, S., Huang, X., & Eltoukhy, M. (2017). Assessing elementary students’ computational thinking in everyday reasoning and robotics programming. Computers & Education, 109, 162-175. https://doi.org/10.1016/j.compedu.2017.03.001
Chen, P., Yang, D., Metwally, A. H., Lavonen, J., & Wang, X. (2023). Fostering computational thinking through unplugged activities: A systematic literature review and meta-analysis. International Journal of STEM Education, 10(1). https://doi.org/10.1186/s40594-023-00434-7
Chevalier, M., Giang, C., Piatti, A., & Mondada, F. (2020). Fostering computational thinking through educational robotics: A model for creative computational problem solving. International Journal of STEM Education, 7(1). https://doi.org/10.1186/s40594-020-00238-z
Daniela, L., & Lytras, M. D. (2018). Educational robotics for inclusive education. Technology, Knowledge and Learning, 24(2), 219-225. https://doi.org/10.1007/s10758-018-9397-5
Daryanes, F., Darmadi, D., Fikri, K., Sayuti, I., Rusandi, M. A., & Situmorang, D. D. (2023). The development of articulate storyline interactive learning media based on case methods to train student's problem-solving ability. Heliyon, 9(4), e15082. https://doi.org/10.1016/j.heliyon.2023.e15082
Dede, C. (2010). Comparing frameworks for 21st century skills. 21st century skills: Rethinking how students learn, 20(2010), 51-76.
Delal, H., & Oner, D. (2020). Developing middle school students’ computational thinking skills using unplugged computing activities. Informatics in Education, 19(1), 1-13. https://doi.org/10.15388/infedu.2020.01
Deng, W., Guo, X., Cheng, W., & Zhang, W. (2022). Embodied design: A framework for teaching practices focused on the early development of computational thinking. Computer Applications in Engineering Education, 31(2), 365-375. https://doi.org/10.1002/cae.22588
Erol, O., Sevim-Cirak, N., & Baser Gulsoy, V. G. (2023). The effects of educational robotics activities on students’ attitudes towards STEM and ICT courses. International Journal of Technology in Education, 6(2), 203-223. https://doi.org/10.46328/ijte.365
Ezeamuzie, N. O., & Leung, J. S. (2021). Computational thinking through an empirical lens: A systematic review of literature. Journal of Educational Computing Research, 60(2), 481-511. https://doi.org/10.1177/07356331211033158
Fagerlund, J., Häkkinen, P., Vesisenaho, M., & Viiri, J. (2020). Computational thinking in programming with scratch in primary schools: A systematic review. Computer Applications in Engineering Education, 29(1), 12-28. https://doi.org/10.1002/cae.22255
Feng, S., & Yang, D. (2021). Teachers' perspective on implementing computational thinking in elementary classrooms. 2021 IEEE Frontiers in Education Conference (FIE). https://doi.org/10.1109/fie49875.2021.9637221
Feurzeig, W., & Lukas, G. (1972). LOGO—A programming language for teaching mathematics. Educational Technology, 12(3), 39-46.
Fislake, M. (2022). Educational robotics between coding and engineering education. Research Anthology on Computational Thinking, Programming, and Robotics in the Classroom, 824-857. https://doi.org/10.4018/978-1-6684-2411-7.ch036
Fraillon, J., Ainley, J., Schulz, W., Duckworth, D., & Friedman, T. (2019). IEA international computer and information literacy study 2018 assessment framework. https://doi.org/10.1007/978-3-030-19389-8
Gao, X., & Hew, K. F. (2021). Toward a 5E-Based flipped classroom model for teaching computational thinking in elementary school: Effects on student computational thinking and problem-solving performance. Journal of Educational Computing Research, 60(2), 512-543. https://doi.org/10.1177/07356331211037757
Gebremariam, H. T., & Gedamu, A. D. (2023). Primary school teachers’ assessment for learning practice for students’ learning improvement. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1145195
Georgiou, K., & Angeli, C. (2019). Developing preschool children's computational thinking with educational robotics: The role of cognitive differences and scaffolding. Proceedings of the 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2019). https://doi.org/10.33965/celda2019_201911l013
Google for education: Computational thinking. (2023). Google for Education - Online Resources for Teachers & Students. https://edu.google.com/resources/programs/exploring-computational-thinking/
Grover, S., & Pea, R. (2013). Computational thinking in K–12. Educational Researcher, 42(1), 38-43. https://doi.org/10.3102/0013189x12463051
Gökçe, S., & Yenmez, A. A. (2022). Ingenuity of scratch programming on reflective thinking towards problem solving and computational thinking. Education and Information Technologies, 28(5), 5493-5517. https://doi.org/10.1007/s10639-022-11385-x
Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3, 275-285. https://doi.org/10.1016/j.susoc.2022.05.004
Higgins, K. M. (1997). The effect of year-long instruction in mathematical problem solving on middle-school students' attitudes, beliefs, and abilities. The Journal of Experimental Education, 66(1), 5-28. https://doi.org/10.1080/00220979709601392
Hsieh, Y., Lin, S., Luo, Y., Jeng, Y., Tan, S., Chen, C., & Chiang, P. (2020). ARCS-assisted teaching robots based on anticipatory computing and emotional big data for improving sustainable learning efficiency and motivation. Sustainability, 12(14), 5605. https://doi.org/10.3390/su12145605
Hsu, T., Chang, C., Wong, L., & Aw, G. P. (2022). Learning performance of different genders’ computational thinking. Sustainability, 14(24), 16514. https://doi.org/10.3390/su142416514
Hsu, T., Chang, S., & Hung, Y. (2018). How to learn and how to teach computational thinking: Suggestions based on a review of the literature. Computers & Education, 126, 296-310. https://doi.org/10.1016/j.compedu.2018.07.004
Hsu, T., Wong, L., & Aw, G. P. (2020). 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. 2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT). https://doi.org/10.1109/icalt49669.2020.00077
Huang, N. N., Chiu, L., & Hong, J. (2015). Relationship among students’ problem-solving attitude, perceived value, behavioral attitude, and intention to participate in a science and technology contest. International Journal of Science and Mathematics Education, 14(8), 1419-1435. https://doi.org/10.1007/s10763-015-9665-y
Huang, S. (2021). Design and development of educational robot teaching resources using artificial intelligence technology. International Journal of Emerging Technologies in Learning (iJET), 16(05), 116. https://doi.org/10.3991/ijet.v16i05.20311
Hwang, G., Yang, T., Tsai, C., & Yang, S. J. (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
Ioannou, A., & Makridou, E. (2018). Exploring the potentials of educational robotics in the development of computational thinking: A summary of current research and practical proposal for future work. Education and Information Technologies, 23(6), 2531-2544. https://doi.org/10.1007/s10639-018-9729-z
Israel-Fishelson, R., & Hershkovitz, A. (2019). Persistence in a game-based learning environment: The case of elementary school students learning computational thinking. Journal of Educational Computing Research, 58(5), 891-918. https://doi.org/10.1177/0735633119887187
Jacob, S., Nguyen, H., Tofel-Grehl, C., Richardson, D., & Warschauer, M. (2018). Teaching computational thinking to English learners. NYS TESOL journal, 5(2).
Jeng, H., Liu, L., & Chen, C. (2019). Developing a procedural problem-solving-based framework of computational thinking components. 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI). https://doi.org/10.1109/iiai-aai.2019.00061
Kafai, Y. B., & Proctor, C. (2021). A revaluation of computational thinking in K–12 education: Moving toward computational Literacies. Educational Researcher, 51(2), 146-151. https://doi.org/10.3102/0013189x211057904
Kafai, Y. B., & Resnick, M. (1996). Constructionism in practice: Designing, thinking, and learning in a digital world. Routledge.
Kanda, T., Hirano, T., Eaton, D., & Ishiguro, H. (2004). Interactive robots as social partners and peer tutors for children: A Field trial. Human-Computer Interaction, 19(1), 61-84. https://doi.org/10.1207/s15327051hci1901&2_4
Kang, C., Liu, N., Zhu, Y., Li, F., & Zeng, P. (2022). Developing college students’ computational thinking multidimensional test based on life story situations. Education and Information Technologies, 28(3), 2661-2679. https://doi.org/10.1007/s10639-022-11189-z
Kuo, H., Yang, Y. C., Chen, J., Hou, T., & Ho, M. (2022). The impact of design thinking PBL robot course on college students’ learning motivation and creative thinking. IEEE Transactions on Education, 65(2), 124-131. https://doi.org/10.1109/te.2021.3098295
Lai, X., & Wong, G. K. (2021). Collaborative versus individual problem solving in computational thinking through programming: A meta‐analysis. British Journal of Educational Technology, 53(1), 150-170. https://doi.org/10.1111/bjet.13157
Lee, I., Grover, S., Martin, F., Pillai, S., & Malyn-Smith, J. (2019). Computational thinking from a disciplinary perspective: Integrating computational thinking in K-12 science, technology, engineering, and mathematics education. Journal of Science Education and Technology, 29(1), 1-8. https://doi.org/10.1007/s10956-019-09803-w
Lee, J., Joswick, C., & Pole, K. (2022). Classroom play and activities to support computational thinking development in early childhood. Early Childhood Education Journal, 51(3), 457-468. https://doi.org/10.1007/s10643-022-01319-0
Liao, C. H., Chiang, C., Chen, I., & Parker, K. R. (2022). Exploring the relationship between computational thinking and learning satisfaction for non-STEM college students. International Journal of Educational Technology in Higher Education, 19(1). https://doi.org/10.1186/s41239-022-00347-5
Liljedahl, P., & Cai, J. (2021). Empirical research on problem solving and problem posing: A look at the state of the art. ZDM – Mathematics Education, 53(4), 723-735. https://doi.org/10.1007/s11858-021-01291-w
Lin, V., Yeh, H., & Chen, N. (2022). A systematic review on oral interactions in robot-assisted language learning. Electronics, 11(2), 290. https://doi.org/10.3390/electronics11020290
Liu, H., Wu, Z., Lu, Y., & Zhu, L. (2023). Exploring the balance between computational thinking and learning motivation in elementary programming education: An empirical study with game-based learning. IEEE Transactions on Games, 15(1), 95-107. https://doi.org/10.1109/tg.2022.3143701
Li, Y., Schoenfeld, A. H., DiSessa, A. A., Graesser, A. C., Benson, L. C., English, L. D., & Duschl, R. A. (2020). On computational thinking and STEM education. Journal for STEM Education Research, 3(2), 147-166. https://doi.org/10.1007/s41979-020-00044-w
Lopez-Caudana, E., Ramirez-Montoya, M. S., Martínez-Pérez, S., & Rodríguez-Abitia, G. (2020). Using robotics to enhance active learning in mathematics: A multi-scenario study. Mathematics, 8(12), 2163. https://doi.org/10.3390/math8122163
Lye, S. Y., & Koh, J. H. (2014). Review on teaching and learning of computational thinking through programming: What is next for K-12? Computers in Human Behavior, 41, 51-61. https://doi.org/10.1016/j.chb.2014.09.012
Ma, H., Zhao, M., Wang, H., Wan, X., Cavanaugh, T. W., & Liu, J. (2021). Promoting pupils’ computational thinking skills and self-efficacy: A problem-solving instructional approach. Educational Technology Research and Development, 69(3), 1599-1616. https://doi.org/10.1007/s11423-021-10016-5
Matere, I. M., Weng, C., Astatke, M., Hsia, C., & Fan, C. (2021). Effect of design-based learning on elementary students computational thinking skills in visual programming maker course. Interactive Learning Environments, 31(6), 3633-3646. https://doi.org/10.1080/10494820.2021.1938612
Mohaghegh, M. & McCauley, M. (2016). Computational thinking: The skill set of the 21st century. International Journal of Computer Science and Information Technologies (IJCSIT), 7(3), 1524-1530.
Moneva, J. C., Miralles, R. G., & Rosell, J. Z. (2020). Problem solving attitude and critical thinking ability of students. International Journal of Research -GRANTHAALAYAH, 8(1), 138-149. https://doi.org/10.29121/granthaalayah.v8.i1.2020.261
Morze, N. V., & Strutynska, O. V. (2023). Advancing educational robotics: Competence development for pre-service computer science teachers. CTE Workshop Proceedings, 10, 107-123. https://doi.org/10.55056/cte.549
Noh, J., & Lee, J. (2019). Effects of robotics programming on the computational thinking and creativity of elementary school students. Educational Technology Research and Development, 68(1), 463-484. https://doi.org/10.1007/s11423-019-09708-w
Nouri, J., Zhang, L., Mannila, L., & Norén, E. (2020). Development of computational thinking, digital competence and 21st century skills when learning programming in K-9. Education Inquiry, 11(1), 1-17. https://doi.org/10.1080/20004508.2019.1627844
OECD. (2016). Innovating education and educating for innovation: The power of digital technologies and skills. OECD.
Ou Yang, F., Lai, H., & Wang, Y. (2023). Effect of augmented reality-based virtual educational robotics on programming students’ enjoyment of learning, computational thinking skills, and academic achievement. Computers & Education, 195, 104721. https://doi.org/10.1016/j.compedu.2022.104721
Papert, S. A. (1993). Mindstorms: Children, computers, and powerful ideas. Basic Books.
Papert, S., & Harel, I. (1991). Situating constructionism. constructionism, 36(2), 1-11.
Partnership for 21st Century Skills. (2009). P21 framework definitions.
Paucar-Curasma, R., Villalba-Condori, K. O., Mamani-Calcina, J., Rondon, D., Berrios-Espezúa, M. G., & Acra-Despradel, C. (2023). Use of technological resources for the development of computational thinking following the steps of solving problems in engineering students recently entering college. Education Sciences, 13(3), 279. https://doi.org/10.3390/educsci13030279
Pedaste, M., Palts, T., Kori, K., Sormus, M., & Leijen, A. (2019). Complex problem solving as a construct of inquiry, computational thinking and mathematical problem solving. 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT). https://doi.org/10.1109/icalt.2019.00071
Pei, Z., & Nie, Y. (2018). Educational robots: Classification, characteristics, application areas and problems. 2018 Seventh International Conference of Educational Innovation through Technology (EITT). https://doi.org/10.1109/eitt.2018.00020
Peng, H., Murti, A. T., Silitonga, L. M., & Wu, T. (2023). Effects of the fundamental concepts of computational thinking on students’ anxiety and motivation toward K-12 English writing. Sustainability, 15(7), 5855. https://doi.org/10.3390/su15075855
Qu, J. R., & Fok, P. K. (2021). Cultivating students’ computational thinking through student–robot interactions in robotics education. International Journal of Technology and Design Education, 32(4), 1983-2002. https://doi.org/10.1007/s10798-021-09677-3
Designing for Tinkerability. (2013). Design, Make, Play, 181-199. https://doi.org/10.4324/9780203108352-15
Rodríguez del Rey, Y. A., Cawanga Cambinda, I. N., Deco, C., Bender, C., Avello‐Martínez, R., & Villalba‐Condori, K. O. (2020). Developing computational thinking with a module of solved problems. Computer Applications in Engineering Education, 29(3), 506-516. https://doi.org/10.1002/cae.22214
Roberts-Yates, C., & Silvera-Tawil, D. (2019). Better education opportunities for students with autism and intellectual disabilities through digital technology. International Journal of Special Education, 34(1), 197-210.
Rodríguez-Martínez, J. A., González-Calero, J. A., & Sáez-López, J. M. (2019). Computational thinking and mathematics using scratch: An experiment with sixth-grade students. Interactive Learning Environments, 28(3), 316-327. https://doi.org/10.1080/10494820.2019.1612448
Saad, A., & Zainudin, S. (2022). A review of project-based learning (PBL) and computational thinking (CT) in teaching and learning. Learning and Motivation, 78, 101802. https://doi.org/10.1016/j.lmot.2022.101802
Saidin, N. D., Khalid, F., Martin, R., Kuppusamy, Y., & Munusamy, N. A. (2021). Benefits and challenges of applying computational thinking in education. International Journal of Information and Education Technology, 11(5), 248-254. https://doi.org/10.18178/ijiet.2021.11.5.1519
Saritepeci, M. (2019). Developing computational thinking skills of high school students: Design-based learning activities and programming tasks. The Asia-Pacific Education Researcher, 29(1), 35-54. https://doi.org/10.1007/s40299-019-00480-2
Sturm, N., & Bohndick, C. (2021). The influence of attitudes and beliefs on the problem-solving performance. Frontiers in Education, 6. https://doi.org/10.3389/feduc.2021.525923
Sun, L., Hu, L., & Zhou, D. (2022). Programming attitudes predict computational thinking: Analysis of differences in gender and programming experience. Computers & Education, 181, 104457. https://doi.org/10.1016/j.compedu.2022.104457
Tang, A. L., Tung, V. W. S., & Cheng, T. O. (2023). Teachers’ perceptions of the potential use of educational robotics in management education. Interactive Learning Environments, 31(1), 313-324. https://doi.org/10.1080/10494820.2020.1780269
Toh, L. P. E., Causo, A., Tzuo, P. W., Chen, I. M., & Yeo, S. H. (2016). A review on the use of robots in education and young children. Journal of Educational Technology & Society, 19(2), 148-163. https://www.jstor.org/stable/jeductechsoci.19.2.148
Tsai, M., Liang, J., Lee, S. W., & Hsu, C. (2021). Structural validation for the developmental model of computational thinking. Journal of Educational Computing Research, 60(1), 56-73. https://doi.org/10.1177/07356331211017794
Tsai, M., & Tang, Y. (2017). Learning attitudes and problem-solving attitudes for blended problem-based learning. Library Hi Tech, 35(4), 615-628. https://doi.org/10.1108/lht-06-2017-0102
Tselegkaridis, S., & Sapounidis, T. (2022). Exploring the features of educational robotics and STEM research in primary education: A systematic literature review. Education Sciences, 12(5), 305. https://doi.org/10.3390/educsci12050305
Ubaidullah, N. H., Mohamed, Z., Hamid, J., & Sulaiman, S. (2021). Discovering the role of problem-solving and discussion techniques in the teaching programming environment to improve students' computational thinking skills. International Journal of Information and Education Technology, 11(12), 615-623. https://doi.org/10.18178/ijiet.2021.11.12.1572
Valls Pou, A., Canaleta, X., & Fonseca, D. (2022). Computational thinking and educational robotics integrated into project-based learning. Sensors, 22(10), 3746. https://doi.org/10.3390/s22103746
Van Laar, E., Van Deursen, A. J., Van Dijk, J. A., & De Haan, J. (2017). The relation between 21st-century skills and digital skills: A systematic literature review. Computers in Human Behavior, 72, 577-588. https://doi.org/10.1016/j.chb.2017.03.010
Voogt, J., Fisser, P., Good, J., Mishra, P., & Yadav, A. (2015). Computational thinking in compulsory education: Towards an agenda for research and practice. Education and Information Technologies, 20(4), 715-728. https://doi.org/10.1007/s10639-015-9412-6
Voogt, J. M., & Pareja Roblin, N. N. (2023). Curriculum and 21st century skills. International Encyclopedia of Education(Fourth Edition), 49-55. https://doi.org/10.1016/b978-0-12-818630-5.03007-4
Wang, D., Luo, L., Luo, J., Lin, S., & Ren, G. (2022). Developing computational thinking: Design-based learning and interdisciplinary activity design. Applied Sciences, 12(21), 11033. https://doi.org/10.3390/app122111033
Waterman, K. P., Goldsmith, L., & Pasquale, M. (2019). Integrating computational thinking into elementary science curriculum: An examination of activities that support students’ computational thinking in the service of disciplinary learning. Journal of Science Education and Technology, 29(1), 53-64. https://doi.org/10.1007/s10956-019-09801-y
Weng, X., & Wong, G. K. (2017). Integrating computational thinking into English dialogue learning through graphical programming tool. 2017 IEEE 6th International Conference on Teaching, Assessment, and Learning for Engineering (TALE). https://doi.org/10.1109/tale.2017.8252356
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/1118178.1118215
Yadav, A., Stephenson, C., & Hong, H. (2017). Computational thinking for teacher education. Communications of the ACM, 60(4), 55-62. https://doi.org/10.1145/2994591
Yang, D., Oh, E., & Wang, Y. (2020). Hybrid physical education teaching and curriculum design based on a voice interactive artificial intelligence educational robot. Sustainability, 12(19), 8000. https://doi.org/10.3390/su12198000
Yeung, M. M., Yuen, J. W., Chen, J. M., & Lam, K. K. (2023). The efficacy of team-based learning in developing the generic capability of problem-solving ability and critical thinking skills in nursing education: A systematic review. Nurse Education Today, 122, 105704. https://doi.org/10.1016/j.nedt.2022.105704
Yildiz Durak, H. (2018). The effects of using different tools in programming teaching of secondary school students on engagement, computational thinking and reflective thinking skills for problem solving. Technology, Knowledge and Learning, 25(1), 179-195. https://doi.org/10.1007/s10758-018-9391-y
Zhan, Z., He, W., Yi, X., & Ma, S. (2022). Effect of unplugged programming teaching aids on children’s computational thinking and classroom interaction: With respect to Piaget’s four stages theory. Journal of Educational Computing Research, 60(5), 1277-1300. https://doi.org/10.1177/07356331211057143
Zhao, F., & Liu, S. (2022). Research on blended teaching reform based on computational thinking. 2022 12th International Conference on Information Technology in Medicine and Education (ITME). https://doi.org/10.1109/itme56794.2022.00048
Zhao, L., Liu, X., Wang, C., & Su, Y. (2022). Effect of different mind mapping approaches on primary school students’ computational thinking skills during visual programming learning. Computers & Education, 181, 104445. https://doi.org/10.1016/j.compedu.2022.104445