科技的普及帶動了生活的轉變，教育結合機器人成了目前重要的議題之一。隨著機器人相關技術的提升，不只是運用在工業領域，漸漸的也推廣至教育產業上，該如何讓機器人在課堂中得以有效運用更是逐漸受到重視。108課綱中提及，在目前培育人才的趨勢上應強化跨領域整合的能力，而STEM教育為跨學科整合式教學，其旨在增強學生的知識整合應用能力，讓學習不只是記憶和背誦，而是不斷的嘗試且融會貫通。
本研究採準實驗研究設計，分為實驗組（6E模式結合遊戲化機制之教育機器人）及對照組（6E模式）兩種不同教學法，對學生的認知（STEM知識）、情意（學習動機、創造力）及技能（實作能力）之影響，所學習的課程內容以智慧城市為主題，並利用Arduino進行實作。從研究結果顯示實驗組在STEM知識、學習動機、創造力及實作能力皆顯著優於對照組，表示藉由遊戲化機制之教育機器人在課堂中擔任教學助理是有效，不過對照組在STEM知識與實作能力也有不錯的提升。進一步將兩組以學習動機高低分群與創造力高低分群來探討對實作能力的關聯性，從結果發現，實驗組的學習動機是能對實作能力有高度的影響，而創造力則在高分群中有較好的影響。

In Master Framework for the 12-year Basic Education Curriculum Guidelines, talent cultivation should focus on training interdisciplinary learning ability, and STEM education is an interdisciplinary Cross-Curricular education. With the advance of science and technology, combining education with robots has become one of the most important issues nowadays. However, previous educational robot studies were lacking of exploring the role of robots as teaching assistants in STEM education.
This study adopted a quasi-experimental design. The experimental group uses the 6E model with gamification mechanism in educational robotics, and the control group uses the 6E model. This study aimed to explore the impact of different teaching models on junior high school students’ study performance, motivation, and creativity. The theme of the course is about smart cities, and we use Arduino to implement them.
The results show that the experimental group is significantly better than the control group in STEM applications, learning motivation, creativity, and hands-on ability. It means that educational robots with gamification mechanisms are effective as teaching assistants in the classroom. Besides, the control group also has a good improvement in STEM applications and hands on ability.
Further analysis of the relationship between the high and low-performance group is taken by hands-on ability in learning motivation and creativity. The analyzed results show that learning motivation has a high impact on the hands-on ability in the experimental group, while creativity only influences the high-performance group.

吳木崑（2009）。杜威經驗哲學對課程與教學之啟示。臺北市立教育大學學報，40（1），35-54。
汪殿杰、巫鍵志、王意蘭、吳致娟（2014）。強調動手實作的科技教育-以臺北市立大同高中為例。中等教育，6（54），141-151。
侯修聖（2020）。導入 Zenbo 機器人之國小六年級生國語記敘文課程設計與實作（未出版之碩士論文）。國立台中教育大學，台中市。
姚經政、林呈彥（2016）。STEM教育應用於機器人教學—以6E教學模式結合差異化教學。科技與人力教育季刊，3（1），53-75。
范斯淳、游光昭（2016）。科技教育融入STEM課程的核心價值與實踐。教育科學研究期刊，61（2），153-183。
張春興（2003）。教育心理學：三化取向的理論與實踐（修訂版）。台北市：東華。
教育部（2003）。創造力教育白皮書 。臺北市：教育部。
教育部（2014）。十二年國民基本教育課程綱要總綱。行政院教育部。
教育部（2018）。十二年國民基本教育課程綱要國民中小學暨普通型高級中等學校-科技領域。行政院教育部。
許維純（2019）。實作能力與實作評量。臺灣教育評論月刊，8（9），51-53。
陳文典（2000）。實作評量的理念與實施。科學教育月刊，6（231），64-66。
陳凌漢（2018）。情感式聊天機器人在合作學習中所扮演的角色之研究（未出版之碩士論文）。國立臺南大學，臺南市。
董芳武、銀子奇（2018）。應用機器人為自閉症孩童學習夥伴之研究。 數位學習科技期刊，10（2），87-111。
Ahmad, M., Mubin, O., & Orlando, J. (2017). A systematic review of adaptivity in human-robot interaction. Multimodal Technologies and Interaction, 1(3), 14-35.
Ali, S., Moroso, T., & Breazeal, C. (2019). Can children learn creativity from a social robot?. In Proceedings of the 2019 on Creativity and Cognition (pp. 359-368).
Alimisis, D. (2013). Educational robotics: Open questions and new challenges. Themes in Science and Technology Education, 6(1), 63-71.
Alves-Oliveira, P., Arriaga, P., Paiva, A., & Hoffman, G. (2019). Guide to build YOLO, a creativity-stimulating robot for children. HardwareX, 6, 1-15.
Ambarita, R. A., Yunastiti, M. I., & Indriayu, M. (2019). The Application of Group Investigation Based on Hands on Activities to Improve Learning Outcomes Based on Higher Order Thinking Skills of Students at SMA Negeri 2 Pematangsiantar. Budapest International Research and Critics in Linguistics and Education (BirLE) Journal, 2(2), 351-359.
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, 9(2), 19-42.
Arens, A. K., Morin, A. J., & Watermann, R. (2015). Relations between classroom disciplinary problems and student motivation: Achievement as a potential mediator?. Learning and Instruction, 39, 184-193.
Aşıksoy, G. & Özdamlı, F. (2016). Flipped Classroom adapted to the ARCS Model of Motivation and applied to a Physics Course. Eurasia Journal of Mathematics, Science and Technology Education, 12(6), 1589-1603.
Bai, S., Hew, K. F., & Huang, B. (2020). Does gamification improve student learning outcome? Evidence from a meta-analysis and synthesis of qualitative data in educational contexts. Educational Research Review, 30, 100322.
Barata, G., Gama, S., Jorge, J., & Gonçalves, D. (2017). Studying student differentiation in gamified education: A long-term study. Computers in Human Behavior, 71, 550-585.
Bawa, P., Watson, S. L., & Watson, W. (2018). Motivation is a game: Massively multiplayer online games as agents of motivation in higher education. Computers & Education, 123, 174-194.
Belpaeme, T., Kennedy, J., Ramachandran, A., Scassellati, B., & Tanaka, F. (2018). Social robots for education: A review. Science Robotics, 3(21) 59-68.
Besemer, S. P. & Treffinger, D. J. (1981). Analysis of creative products: Review and synthesis. The Journal of Creative Behavior, 15(3), 158-178.
Besemer, S. P., & O'Quin, K. (1999). Confirming the three-factor creative product analysis matrix model in an American sample. Creativity Research Journal, 12(4), 287-296.
Birk, M. V., Atkins, C., Bowey, J. T., & Mandryk, R. L. (2016, May). Fostering intrinsic motivation through avatar identification in digital games. In Proceedings of the 2016 CHI conference on human factors in computing systems (pp. 2982-2995).
Breazeal, C. (2004). Social interactions in HRI: the robot view. IEEE Transactions on Systems, Man, and Cybernetics, Part C. Applications and Reviews, 34(2), 181-186.
Breiner, J.M., Harkness, S.S., Johnson, C.C.,& Koehler, C.M. (2012). What is STEM? A discussion about conceptions of STEM in education and partnerships. School Science and Mathematics, 112(1), 3-11.
Brown, R., Brown, J., Reardon, K.,& Merrill, C. (2011). Understanding STEM: Current perceptions. Technology and Engineering Teacher, 20(6), 5-9.
Bryan, L.A., Moore, T.J., Johnson, C.C.,& Roehrig, G.H. (2015). Integrated STEM education. In C. C. Johnson, T. J. Moore, & E. E. Peters-Burton (Eds.), STEM roadmap: A framework for integrated STEM education (pp. 23–37). New York, NY: Routledge.
Burke, B. N. (2014). The ITEEA 6E Learning ByDesign™ Model: Maximizing Informed Design and Inquiry in the Integrative STEM Classroom. Technology and Engineering Teacher, 73(6), 14-19.
Bybee, R. W. & Fuchs, B. (2006). Preparing the 21st century workforce: A new reform in science and technology education. Journal of Research in Science Teaching: The Official Journal of the National Association for Research in Science Teaching, 43(4), 349-352.
Bybee, R. W. (1997). Achieving scientific literacy: From purposes to practices. Portsmouth, NH: Heinemann.
Bybee, R. W. (2009). The BSCS 5E instructional model and 21st century skills. Colorado Springs, CO: BSCS.
Bybee, R. W. (2010). Advancing STEM education: A 2020 vision. Technology and Engineering Teacher, 70(1), 30-35.
Calkin, A. B. (2018). Writing on writing. International journal of educational research, 87, 127-137.
Caragliu, A., & Del Bo, C. F. (2019). Smart innovative cities: The impact of Smart City policies on urban innovation. Technological Forecasting and Social Change, 142, 373-383.
Chakraborty, S., Dutta, S., & Timoney, J. (2021). The Cyborg Philharmonic: Synchronizing interactive musical performances between humans and machines. Humanities and Social Sciences Communications, 8(1), 1-9.
Chang, C. C. & Chen, Y. (2020). Using mastery learning theory to develop task-centered hands-on STEM learning of Arduino-based educational robotics: psychomotor performance and perception by a convergent parallel mixed method. Interactive Learning Environments, 1-16.
Chen, Y. & Chang, C. (2018). The Impact of an Integrated Robotics STEM Course with a Sailboat Topic on High School Students’ Perceptions of Integrative STEM, Interest, and Career Orientation. Eurasia Journal of Mathematics, Science and Technology Education, 14(12), em1614.
Chen, Y. C. (2019). Effect of mobile augmented reality on learning performance, motivation, and math anxiety in a math course. Journal of Educational Computing Research, 57(7), 1695-1722.
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), 1-18.
Chew, S. L., & Cerbin, W. J. (2021). The cognitive challenges of effective teaching. The Journal of Economic Education, 52(1), 17-40.
Ching, Y. H., Hsu, Y. C., & Baldwin, S. (2018). Developing computational thinking with educational technologies for young learners. TechTrends, 62(6), 563-573.
Çiftçi, A., Topçu, M. S., & Foulk, J. A. (2020). Pre-service early childhood teachers’ views on STEM education and their STEM teaching practices. Research in Science & Technological Education, 1-27.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.), Hillsdale, NJ: Lawrence Erlbaum Associates Inc.
Craft, A., & Jeffrey, B. (2008). Creativity and performativity in teaching and learning: Tensions, dilemmas, constraints, accommodations and synthesis. British Educational Research Journal, 34(5), 577-584.
Dale, E. (1969). Audiovisual methods in teaching. NY: Dryden Press.
Daniela, L. & Lytras, M. D. (2019). Educational Robotics for Inclusive Education. Technology, Knowledge and Learning, 24(2), 219-225.
Darling-Hammond, L. (2017). Teacher education around the world: What can we learn from international practice?. European Journal of Teacher Education, 40(3), 291-309.
Deci, E. L., & Ryan, R. M. (1985). The general causality orientations scale: Self-determination in personality. Journal of research in personality, 19(2), 109-134.
Deterding, S., Sicart, M., Nacke, L., O'Hara, K., & Dixon, D. (2011). Gamification. using game-design elements in non-gaming contexts. In CHI'11 extended abstracts on human factors in computing systems (pp. 2425-2428).
Deublein, A., Pfeifer, A., Merbach, K., Bruckner, K., Mengelkamp, C., & Lugrin, B. (2018). Scaffolding of motivation in learning using a social robot. Computers & Education, 125(1), 182-190.
Dewey, J. (1938). Experience and education. New York: Macmillan.
Diyas, Y., Brakk, D., Aimambetov, Y., & Sandygulova, A. (2016, March). Evaluating peer versus teacher robot within educational scenario of programming learning. In 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (pp. 425-426). IEEE.
Duggan, K., & Shoup, K. (2013). Business gamification for dummies. John Wiley & Sons.
Eckhoff, A., & Urbach, J. (2008). Understanding imaginative thinking during childhood: Sociocultural conceptions of creativity and imaginative thought. Early Childhood Education Journal, 36(2), 179-185.
Eguchi, A. (2016). RoboCupJunior for promoting STEM education, 21st century skills, and technological advancement through robotics competition. Robotics and Autonomous Systems, 75, 692-699.
Ejiwale, J. A. (2013). Barriers to successful implementation of STEM education. Journal of Education and Learning, 7(2), 63-74.
English, L. D. (2016). STEM education K-12: Perspectives on integration. International Journal of STEM Education, 3(3), 1-8.
Gardiner, P. (2017). Rethinking feedback: Playwriting pedagogy as teaching and learning for creativity. Teaching and Teacher Education, 65, 117-126.
Gong, S. (2020). On the Cultivation of Middle School Students' Creativity. English Language Teaching, 13(1), 134-140.
Good, T. L. & Lavigne, A. L. (2017). Looking in classrooms. Routledge.
Goodrich, M. A., & Schultz, A. C. (2008). Human-robot interaction: a survey. Now Publishers Inc.
Groening, C. & Binnewies, C. (2019). “Achievement unlocked!”-The impact of digital achievements as a gamification element on motivation and performance. Computers in Human Behavior, 27(1), 35-45.
Guilford, J. (1956). Fundamental Statistics in Psychology and Education, 3e éd. Les Etudes Philosophiques, 11(4).
Gulacar, O., Zowada, C., Burke, S., Nabavizadeh, A., Bernardo, A., & Eilks, I. (2020). Integration of a sustainability-oriented socio-scientific issue into the general chemistry curriculum: Examining the effects on student motivation and self-efficacy. Sustainable Chemistry and Pharmacy, 15(1), 100-232.
Hagger, M. S., Sultan, S., Hardcastle, S. J., & Chatzisarantis, N. L. (2015). Perceived autonomy support and autonomous motivation toward mathematics activities in educational and out-of-school contexts is related to mathematics homework behavior and attainment. Contemporary Educational Psychology, 41, 111-123.
Haiguang, F., Shichong, W., Shushu, X., & Xianli, W. (2020). Research on Human-Computer Cooperative Teaching Supported by Artificial Intelligence Robot Assistant. In Artificial Intelligence Supported Educational Technologies (pp. 45-58). Springer, Cham.
Hamann, H., Pinciroli, C., & von Mammen, S. (2018, September). A Gamification Concept for Teaching Swarm Robotics. In 2018 12th European Workshop on Microelectronics Education (EWME) (pp. 83-88). IEEE.
Han, J., & Kim, D. (2009, March). r-Learning services for elementary school students with a teaching assistant robot. In 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (pp. 255-256). IEEE.
Hannel, S. L., & Cuevas, J. (2018). A Study on Science Achievement and Motivation Using Computer-Based Simulations Compared to Traditional Hands-On Manipulation. Georgia Educational Researcher, 15(1), 40-55.
Hashim, H., Ali, M. N., & Shamsudin, M. A. (2018). Enhancing an Entrepreneurial Mindset in Secondary School Students by Introducing the Green-STEM Project via the Integration of the 6E Instructional Model. Journal of Science and Mathematics Education in Southeast Asia, 41.
Heiner, C.(2018, February). A Robotics Experience for All the Students in an Elementary School. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education (pp. 729-734). ACM.
Herschbach, D. R. (2011). The STEM initiative: Constraints and challenges. Journal of STEM Teacher Education, 48(1), 96–112.
Honey, M., Pearson, G., & Schweingruber, H. (Eds.). (2014). STEM integration in K-12 education: Status, prospects, and an agenda for research. Washington, DC: National Academies Press.
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. Journal of Educational Technology & Society, 19(1), 337-349.
Hsiao, H. S., Chang, C. S., Lin, C. Y., Chang, C. C., & Chen, J. C. (2014). The influence of collaborative learning games within different devices on student’s learning performance and behaviours. Australasian Journal of Educational Technology, 30(6), 652-669.
Hsiao, H. S., Chen, J. C., Lin, C. Y., Zhuo, P. W., & Lin, K. Y. (2019). Using 3D printing technology with experiential learning strategies to improve preengineering students' comprehension of abstract scientific concepts and hands‐on ability. Journal of Computer Assisted Learning, 35(2), 178-187.
Hsiao, H. S., Lin, Y. W., Lin, K. Y., Lin, C. Y., Chen, J. H., & Chen, J. C. (2019). Using robot-based practices to develop an activity that incorporated the 6E model to improve elementary school students’ learning performances. Interactive Learning Environments, 1-15.
Hu, Y., Feng, L., Mutlu, B., & Admoni, H. (2021, June). Exploring the Role of Social Robot Behaviors in a Creative Activity. In Designing Interactive Systems Conference 2021 (pp. 1380-1389).
Huang, R., & Liu, X. (2018). Cultivating creativity by scaling up maker education in K-12 schools. In Authentic Learning Through Advances in Technologies (pp. 29-41). Springer, Singapore.
Hung, C. Y., Sun, J. C. Y., & Liu, J. Y. (2019). Effects of flipped classrooms integrated with MOOCs and game-based learning on the learning motivation and outcomes of students from different backgrounds. Interactive Learning Environments, 27(8), 1028-1046.
Johnson, D., Deterding, S., Kuhn, K. A., Staneva, A., Stoyanov, S., & Hides, L. (2016). Gamification for health and wellbeing: A systematic review of the literature. Internet Interventions, 6, 89-106.
Julià, C., & Antolì, J. Ò. (2018). Enhancing spatial ability and mechanical reasoning through a STEM course. International Journal of Technology and Design Education, 28(4), 957-983.
Kalogiannakis, M., Papadakis, S., & Zourmpakis, A. I. (2021). Gamification in science education. A systematic review of the literature. Education Sciences, 11(1), 22.
Karwowski, M., Jankowska, D. M., Brzeski, A., Czerwonka, M., Gajda, A., Lebuda, I., & Beghetto, R. A. (2020). Delving into creativity and learning. Creativity Research Journal, 32(1), 4-16.
Keller, J. M. (1987). Development and use of the ARCS model of instructional design.Journal of Instructional Development, 10(3), 2-10.
Keller, J. M. (2009).Motivational design for learning and performance: The ARCS model approach. Springer Science & Business Media.
Kelley, T. R. & Knowles, J. G. (2016). A conceptual framework for integrated STEM education. International Journal of STEM Education, 3(11), 2-11.
Kennedy, J., Baxter, P., & Belpaeme, T. (2015, March). The robot who tried too hard: Social behaviour of a robot tutor can negatively affect child learning. In 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (pp. 67-74). IEEE.
Khalil, N. & Osman, K. (2017). STEM-21CS module: Fostering 21st century skills through integrated STEM. K-12 STEM Education, 3(3), 225-233.
Khanlari, A. (2013, December). Effects of educational robots on learning STEM and on students' attitude toward STEM. In 2013 IEEE 5th conference on engineering education (ICEED) (pp. 62-66). IEEE.
Kim, Y., & Park, N. (2012). The effect of STEAM education on elementary school student’s creativity improvement. In Computer applications for security, control and system engineering (pp. 115-121). Springer, Berlin, Heidelberg.
Kim, C., Kim, D., Yuan, J., Hill, R. B., Doshi, P., & Thai, C. N. (2015). Robotics to promote elementary education pre-service teachers' STEM engagement, learning, and teaching. Computers & Education, 91, 14-31.
Kim, T. H., Ramos, C., & Mohammed, S. (2017). Smart city and IoT. Future Generation Computer Systems, 76, 159-162.
Kimbell, R., Stables, K., Wheeler, A. D., Wozniak, A. V., & Kelly, A. V. (1991). The assessment of performance in design and technology. London: Schools Examinations and Assessment Council and HMSO.
Kolb, D. A. (2014). Experiential learning: Experience as the source of learning and development. FT press.
Kory, J., & Breazeal, C. (2014, August). Storytelling with robots: Learning companions for preschool children's language development. In The 23rd IEEE international symposium on robot and human interactive communication (pp. 643-648). IEEE.
Kory-Westlund, J. M. & Breazeal, C. (2019, June). Assessing children's perceptions and acceptance of a social robot. In Proceedings of the 18th ACM International Conference on Interaction Design and Children (pp. 38-50).
Köse, H., Uluer, P., Akalın, N., Yorgancı, R., Özkul, A., & Ince, G. (2015). The effect of embodiment in sign language tutoring with assistive humanoid robots. International Journal of Social Robotics, 7(4), 537-548.
Kuo, M. S., & Chuang, T. Y. (2016). How gamification motivates visits and engagement for online academic dissemination–An empirical study. Computers in Human Behavior, 55, 16-27.
Labov, J. B., Reid, A. H., & Yamamoto, K. R. (2010). Integrated biology and undergraduate science education: a new biology education for the twenty-first century?. CBE—Life Sciences Education, 9(1), 10-16.
Landers, R. N., & Callan, R. C. (2011). Casual social games as serious games: The psychology of gamification in undergraduate education and employee training. In Serious games and edutainment applications (pp. 399-423). Springer, London.
Lasso-Rodríguez, G., & Gil-Herrera, R. (2019). Advanced human-robot interaction for learning with robotic process automation. ICERI2019 Proceedings, 7718-7723.
Law, K. M., Geng, S., & Li, T. (2019). Student enrollment, motivation and learning performance in a blended learning environment: The mediating effects of social, teaching, and cognitive presence. Computers & Education, 136(1), 1-12.
Lepuschitz, W., Merdan, M., Koppensteiner, G., Balogh, R., & Obdržálek, D. (Eds.). (2017). Robotics in Education: Latest Results and Developments (Vol. 630). Springer.
Li, K., & Keller, J. M. (2018). Use of the ARCS model in education: A literature review. Computers & Education, 122, 54-62.
Liang, C., Ip, C. Y., Wu, S. C., Law, K. M. Y., Wang, J. H., Peng, L. P., & Liu, H. C. (2019). Personality traits, social capital, and entrepreneurial creativity: Comparing green socioentrepreneurial intentions across Taiwan and Hong Kong. Studies in Higher Education, 44(6), 1086-1102.
Lin, K. Y. (2014). To develop technological talents with the competency of integrating theory and practice through interdisciplinary STEM education. Journal of Technology and Human Resource Education, 1(1), 1.
Lin, K. Y., Hsiao, H. S., Williams, P. J., & Chen, Y. H. (2020). Effects of 6E-oriented STEM practical activities in cultivating middle school students’ attitudes toward technology and technological inquiry ability. Research in Science & Technological Education, 38(1), 1-18.
Lin, K. Y., Yu, K. C., Hsiao, H. S., Chang, Y. S., & Chien, Y. H. (2020). Effects of web-based versus classroom-based STEM learning environments on the development of collaborative problem-solving skills in junior high school students. International Journal of Technology and Design Education, 30(1), 21-34.
Lou, S. J., Chou, Y. C., Shih, R. C., & Chung, C. C. (2017). A study of creativity in CaC2 steamship-derived STEM project-based learning. Eurasia Journal of Mathematics, Science and Technology Education, 13(6), 2387-2404.
Love, T. S. & Deck, A. (2015). The ocean platform engineering design challenge: Flooded with STEM content and practices. Science Scope, 39(3), 33.
Lytridis, C., Bazinas, C., Papakostas, G. A., & Kaburlasos, V. (2019, April). On Measuring Engagement Level During Child-Robot Interaction in Education. In International Conference on Robotics and Education RiE 2017 (pp. 3-13). Springer, Cham.
Lytridis, C., Vrochidou, E., Chatzistamatis, S., & Kaburlasos, V. (2018, June). Social engagement interaction games between children with Autism and humanoid robot NAO. In The 13th international conference on soft computing models in industrial and environmental applications (pp. 562-570). Springer, Cham.
Maican, C., Lixandroiu, R., & Constantin, C. (2016). Interactivia. ro–A study of a gamification framework using zero-cost tools. Computers in Human Behavior, 61, 186-197.
Makrakis, V. & Kostoulas-Makrakis, N. (2016). Bridging the qualitative–quantitative divide: Experiences from conducting a mixed methods evaluation in the RUCAS programme. Evaluation and Program Planning, 54(C), 144-151.
Margot, K. C. & Kettler, T. (2019). Teachers’ perception of STEM integration and education: a systematic literature review. International Journal of STEM Education, 6(1), 1-16.
Matarić, M. J., & Scassellati, B. (2016). Socially assistive robotics. Springer handbook of robotics, 1973-1994.
Mataric, M. J., Koenig, N. P., & Feil-Seifer, D. (2007, March). Materials for enabling hands-on robotics and STEM education. In AAAI spring symposium: Semantic scientific knowledge integration (pp. 99-102).
McCroskey, J. C., Hamilton, P. R., & Weiner, A. N. (1974). The effect of interaction behavior on source credibility, homophily, and interpersonal attraction. Human Communication Research, 1(1), 42-52.
McGraw, K. O., & Wong, S. P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods, 1(1), 30.
Mekler, E. D., Brühlmann, F., Tuch, A. N., & Opwis, K. (2017). Towards understanding the effects of individual gamification elements on intrinsic motivation and performance. Computers in Human Behavior, 100(71), 525-534.
Micari, M., Van Winkle, Z., & Pazos, P. (2016). Among friends: the role of academic-preparedness diversity in individual performance within a small-group STEM learning environment. International Journal of Science Education, 38(12), 1904-1922.
Moro, M., Agatolio, F., & Menegatti, E. (2018). The RoboESL Project: Development, evaluation and outcomes regarding the proposed robotic enhanced curricula. International Journal of Smart Education and Urban Society (IJSEUS), 9(1), 48-60.
Movellan, J. R., Tanaka, F., Fortenberry, B., & Aisaka, K. (2005, July). The RUBI/QRIO project: origins, principles, and first steps. In Proceedings. The 4th International Conference on Development and Learning, 2005 (pp. 80-86). IEEE.
Mylonas, G., Paganelli, F., Cuffaro, G., Nesi, I., & Karantzis, D. (2021). Using gamification and IoT-based educational tools towards energy savings-some experiences from two schools in Italy and Greece. Journal of Ambient Intelligence and Humanized Computing, 1, 1-20.
Nadelson, L. S. & Seifert, A. L. (2017). Integrated STEM defined: Contexts, challenges, and the future. The Journal of Educational Research, 110(3), 221-223.
National Academy of Sciences(2014). STEM integration in K‐12 education: Status, prospects, and an agenda for research. Washington, DC: National Academies Press.
National Research Council. (2011). Successful K-12 STEM education: Identifying effective approaches in science, technology, engineering, and mathematics. Washington, DC: National Academies Press.
Okita, S. (2015). The potential of peer robots to assist human creativity in finding problems and problem solving. Teachers College Record, 117(10), 1-8.
Omar, S., Jain, J., & Noordin, F. (2013). Motivation in learning and happiness among the low science achievers of a Polytechnic Institution: An exploratory study. Procedia-Social and Behavioral Sciences, 90, 702-711.
Omokawa, R., Kobayashi, M., & Matsuura, S. (2019, July). Expressing the Personality of a Humanoid Robot as a Talking Partner in an Elementary School Classroom. In International Conference on Human-Computer Interaction (pp. 494-506). Springer, Cham.
Papert, S. (1980). Mindstorms: Children, computers and powerful ideas. New York: Basic Books.
Papert, S. (1984). New theories for new learnings. School Psychology Review, 13(4), 422-428.
Pollard, V., Hains-Wesson, R., & Young, K. (2018). Creative teaching in STEM. Teaching in Higher Education, 23(2), 178-193.
Reyes, G. E. B., López, E., Ponce, P., & Mazón, N. (2020). Role Assignment Analysis of an Assistive Robotic Platform in a High School Mathematics Class, Through a Gamification and Usability Evaluation. International Journal of Social Robotics, 1-16.
Riswanto, A. & Aryani, S. (2017). Learning motivation and student achievement: description analysis and relationships both. The International Journal of Counseling and Education, 2(1), 42-47.
Robinson, N. L., Turkay, S., Cooper, L. A., & Johnson, D. (2019, December). Social robots with gamification principles to increase long-term user interaction. In Proceedings of the 31st Australian Conference on Human-Computer-Interaction (pp. 359-363).
Saadatzi, M. N., Pennington, R. C., Welch, K. C., & Graham, J. H. (2018). Small-group technology-assisted instruction: Virtual teacher and robot peer for individuals with autism spectrum disorder. Journal of autism and developmental disorders, 48(11), 3816-3830.
Sailer, M., & Sailer, M. (2021). Gamification of in‐class activities in flipped classroom lectures. British Journal of Educational Technology, 52(1), 75-90.
Sailer, M., Hense, J. U., Mayr, S. K., & Mandl, H. (2017). How gamification motivates: An experimental study of the effects of specific game design elements on psychological need satisfaction. Computers in Human Behavior, 69, 371-380.
Sailer, M., Hense, J., Mandl, H., & Klevers, M. (2017). Fostering development of work competencies and motivation via gamification. In Competence-based vocational and professional education (pp. 795-818). Springer, Cham.
Sanchez, D. R., Langer, M., & Kaur, R. (2020). Gamification in the classroom: Examining the impact of gamified quizzes on student learning. Computers & Education, 144, 103666.
Sanders, M. (2009). The poetry of Chartism: aesthetics, politics, history (No. 62). Cambridge University Press.
Sarı, U., Alıcı, M., & Şen, Ö. F. (2018). The effect of STEM instruction on attitude, career perception and career interest in a problem-based learning environment and student opinions. The Electronic Journal for Research in Science & Mathematics Education, 22(1)1-21.
Savin-Baden, M. & Major, C. H. (2004). Foundations of problem-based learning. McGraw-hill education (UK).
Schön, D. (1990). Educating the reflective practitioner: Toward a new design for teaching and learning in the professions. San Francisco, CA: Jossey-Bass.
Seaborn, K., & Fels, D. I. (2015). Gamification in theory and action: A survey. International Journal of human-computer studies, 74, 14-31.
Selwyn, N. (2019). Should robots replace teachers?: AI and the future of education. John Wiley & Sons.
Sheridan, T. B. (2016). Human–robot interaction: status and challenges. Human Factors, 58(4), 525-532.
Silva, R. J. R. D., Rodrigues, R. G., & Leal, C. T. P. (2019). Gamification in Management Education: A Systematic Literature Review. BAR-Brazilian Administration Review, 16(2)1-31.
Sternberg, R. J. (2001). What is the common thread of creativity? Its dialectical relation to intelligence and wisdom. American Psychologist, 56(4), 360.
Stipek, D., Feiler, R., Daniels, D., & Milburn, S. (1995). Effects of different instructional approaches on young children's achievement and motivation. Child development, 66(1), 209-223.
Striepe, H., Donnermann, M., Lein, M., & Lugrin, B. (2019). Modeling and Evaluating Emotion, Contextual Head Movement and Voices for a Social Robot Storyteller. International Journal of Social Robotics, 1-17.
Stronge, J. H. (2018). Qualities of effective teachers. ASCD.
Struyf, A., De Loof, H., Boeve-de Pauw, J., & Van Petegem, P. (2019). Students’ engagement in different STEM learning environments: integrated STEM education as promising practice?. International Journal of Science Education, 41(10), 1387-1407.
Štuikys, V. & Burbaitė, R. (2018). Smart STEM-driven computer science education—Theory, methodology and robot-based practices. Cham: Springer.
Tanenbaum, C. (2016). STEM 2026: A vision for innovation in STEM education. US Department of Education, Washington, DC.
Taylor, I. A. (2017). A retrospective view of creativity investigation. In Perspectives in creativity (pp. 1-36). Routledge.
Treffinger, D. J., Isaksen, S. G., & Stead-Dorval, K. B. (2005). Creative problem solving: An introduction. Prufrock Press Inc..
Van Minkelen, P., Gruson, C., Van Hees, P., Willems, M., De Wit, J., Aarts, R., ... & Vogt, P. (2020, March). Using self-determination theory in social robots to increase motivation in L2 word learning. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (pp. 369-377).
Wang, Y. K. (2004, March). Context awareness and adaptation in mobile learning. In The 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, 2004. Proceedings. (pp. 154-158). IEEE.
Werbach, K. (2014, May). (Re) defining gamification: A process approach. In International conference on persuasive technology (pp. 266-272). Springer, Cham.
Werbach, K., & Hunter, D. (2015). The gamification toolkit: dynamics, mechanics, and components for the win. Wharton School Press.
Williams, F. E. (1972). Identifying and measuring creative potential. New Jersey：Educational Technology Publicatons.
Wong, W. C., Xu, H., Li, Y., & He, W. J. (2014). What can we know about the creative potentials of teachers and students? What can we hope for in terms of the cultivation of creativity?. The International Journal of Creativity and Problem Solving, 24(2), 23-43.
Wu, J. J., & Albanese, D. L. (2013). Imagination and creativity: Wellsprings and streams of education–the Taiwan experience. Educational Psychology, 33(5), 561-581.
Wu, T., Tai, Y. (2016). Effects of multimedia information technology integrated multi-sensory instruction on students’ learning motivation and outcome. Eurasia Journal of Science & Technology Education 12(4), 1065-1074.
York, S., Lavi, R., Dori, Y. J., & Orgill, M. (2019). Applications of systems thinking in STEM education. Journal of Chemical Education, 96(12), 2742-2751.
Yun, S. S., Choi, J., Park, S. K., Bong, G. Y., & Yoo, H. (2017). Social skills training for children with autism spectrum disorder using a robotic behavioral intervention system. Autism Research, 10(7), 1306-1323.
Zaga, C., Lohse, M., Truong, K. P., & Evers, V. (2015, October). The effect of a robot’s social character on children’s task engagement: Peer versus tutor. In International Conference on Social Robotics (pp. 704-713). Springer, Cham.
Zainuddin, Z., Chu, S. K. W., Shujahat, M., & Perera, C. J. (2020). The impact of gamification on learning and instruction: A systematic review of empirical evidence. Educational Research Review, 100326.
Zawieska, K., & Duffy, B. R. (2015). The social construction of creativity in educational robotics. In Progress in Automation, Robotics and Measuring Techniques (pp. 329-338). Springer, Cham.
Zichermann, G. & Cunningham, C. (2011). Gamification by design: Implementing game mechanics in web and mobile apps. " O'Reilly Media, Inc.".