Author: |
林美雯 Lin, Mei-Wen |
---|---|
Thesis Title: |
運用6E模式結合知識翻新教學策略於高中生人工智慧物聯網實作課程對學習表現、社會情緒學習之研究 The Study Using 6E Model and Knowledge Building Teaching Sratregy for AIoT Hands-on Activities in Senior High School Students’s Learning Performance and Social Emotional Learning |
Advisor: |
蕭顯勝
Hsiao, Hsien-Sheng |
Committee: |
趙貞怡
Chao, Jen-Yi 張玉山 Chang, Yu-Shan 蕭顯勝 Hsiao, Hsien-Sheng |
Approval Date: | 2024/01/11 |
Degree: |
碩士 Master |
Department: |
科技應用與人力資源發展學系 Department of Technology Application and Human Resource Development |
Thesis Publication Year: | 2024 |
Academic Year: | 112 |
Language: | 中文 |
Number of pages: | 112 |
Keywords (in Chinese): | 6E模式 、知識翻新 、AIoT 、人工智慧物聯網 、STEM實作 、社會情緒學習 |
Keywords (in English): | 6E model, knowledge building, AIoT, artificial intelligence Internet of Things, STEM implementation, social emotional learning |
Research Methods: | 準實驗設計法 、 調查研究 |
DOI URL: | http://doi.org/10.6345/NTNU202400359 |
Thesis Type: | Academic thesis/ dissertation |
Reference times: | Clicks: 178 Downloads: 0 |
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面對社會快速變動與科技發展,108課綱科技領域作為跨領域課程,在跨領域知識整合、真實情境與動手實作培養科技素養,同時納入新興技術於課堂中,讓學生理解當今產業與科技趨勢。
跨領域教學可藉由STEM做為實踐之教學模式,智慧城市涵蓋物聯網與人工智慧之技術,適合作為主題,內容整合機構結構、科學等領域綜合概念與應用,符合108課綱在科技教育之課程目標;6E模式提供系統性之教學框架,也透過實作強化學習經驗;結合知識翻新原則,注重學生在「想法」上的改進與建構,透過共同構建認知,在合作過程提升社會情緒學習之核心能力,藉此提升個體於群體內交流互動狀況,知識翻新教學能在課堂中鼓勵學生作為知識建構,來解決問題並構建知識,透過6E教學策略提升學生的思考與問題解決能力。
本研究在進展不同教學策略(6E結合知識翻新教學策略、6E教學策略)之人工智慧物聯網實作課程,在準時驗設計來理解教學策略不同對於高中生在學習表現、社會情緒學習與實作表現之影響,實驗結果顯示學習表現中,人工智慧物聯網知識、社會情緒學習與實作表現均有顯著差異,說明運用6E模式與知識翻新原則對於學生在知識、社會情緒學習與實作表現可以有助益。
In the face of rapid social changes and technological development, the 108 Curriculum Science and Technology Field is a cross-field course that cultivates scientific and technological literacy through cross-field knowledge integration, real-life situations and hands-on practice. It also incorporates emerging technologies into the classroom to allow students to understand today's industries and technologies trend.
Cross-field teaching can use STEM as a practical teaching model. Smart city covers the Internet of Things and artificial intelligence technology, which is suitable as a theme. The content integrates comprehensive concepts and applications in institutional structure, science and other fields, and is in line with the 108 curriculum in science and technology education. Course objectives; the 6E model provides a systematic teaching framework, and also strengthens learning experience through practice; combines the principle of knowledge renovation, focuses on the improvement and construction of students' "ideas", and enhances society through joint construction of cognition in the collaborative process. The core ability of emotional learning v is used to improve individual communication and interaction within the group. Knowledge renovation teaching can encourage students to solve problems and construct knowledge as knowledge construction in the classroom, and improve students' thinking and problem-solving abilities through 6E teaching strategies.
This study is developing an artificial intelligence Internet of Things practical course with different teaching strategies (6E combined knowledge renovation teaching strategy, 6E teaching strategy), and is designed to understand the impact of the course on students' learning performance and social-emotional learning, and social emotions. The relationship between high and low learning groups in knowledge. The experimental results show that there are significant differences in learning performance between artificial intelligence Internet of Things knowledge and social-emotional learning and implementation performance, indicating that 6E teaching strategies combined with knowledge renovation principles can improve learning performance, social-emotional learning and implementation performance.
王淑卿、葉宗一、王國華(2020)。合作問題解決自我效能量表發展與科學學習成就關係之探討。科學教育學刊,28(4),353-377。https://doi.org/10.6173/CJSE.202012_28(4).0003
王智弘(2019)。素養導向師資培育與課綱轉化─教育2030的觀點。臺灣教育評論月刊,8(12),32-37。https://doi.org/10.6791/TER
王瑞壎(2022)。STEM/STEAM 跨領域科際整合教育之探究。臺灣教育評論月刊,11(4),13-20。
周毓貞(2014)。國小六年級學童家庭社會資本、英語自我效能與英語學習態度之結構方程模型分析(未出版之碩士論文)。國立台北教育大學課程與教學研究所。
林坤誼(2018)。臺灣推動自造教育的省思與建議。臺灣教育評論月刊,7(2),6-9。https://doi.org/10.6791/TER
林坤誼、游光昭、洪國峰(2011)。操作技能對思考與實作表現影響之研究。課程與教學,14(4),161-185。https://doi.org/ 10.6384/CIQ.201110.0162
林逸棟、陳信正(2019)。配合新課綱技術型高中實作評量之評析。臺灣教育評論月刊,8(9),34-41。 https://doi.org/10.6791/TER
范信賢(2016)。核心素養與十二年國民基本教育課程網要:導讀《國民核心素養:十二年國教課程改革的DNA》。國家教育研究院教育脈動電子期刊,5,1-7。https://j108in.knsh.com.tw/article01.asp?ID=29
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。https://doi.org/ 10.6209/JORIES.2016.61(2).06
張仁家、林癸妙(2019)。美國 STEM 教育的發展沿革與經驗-以俄亥俄州為例。科技與人力教育季刊,5(4),1-25。https://doi.org/ 10.6587/JTHRE.201906_5(4).0001
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。https://doi.org/10.6791/TER
陳美如、陳宜嫻(2022)。運用知識翻新社群及電腦支持協作學習促進職前教師之社會情緒能力,教育研究月刊,339,52-70。https://doi.org/10.53106/168063602022070339004
陳翠(2017)。歐、陸、臺[核心素養〕的未來走向設想,臺灣教育評論月刊,6(11),117-119。https://doi.org/10.6791/TER
詹惠雪、黃曰鴻(2020)。教師對素養導向課程設計的理解與實踐反思。課程與教學,23(3),29-58。https://doi.org/ 10.6384/CIQ.202007_23(3).0002
廖家現、范斯淳(2020)。高中生活科技工程設計實作教學活動-以班級 「養機場」為例。工業科技教育學刊,(13),44-64。https://doi.org/10.6306/JITE.202011_(13).0004
盧秀琴、賴淑菁(2020)。使用 6E 教學策略教導國小學生製作[電磁車]專題以培養STEAM素養。中等教育,71(1),10-28。https://doi.org/ 10.6249/SE.202003_71(1).0002
蔡清田(2018)。核心素養的課程發展。五南。
二、 外文部分
Abichandani, P., Sivakumar, V., Lobo, D., Iaboni, C., & Shekhar, P. (2022). Internet-of-things curriculum, pedagogy, and assessment for stem education: A review of literature. IEEE Access, 10, 38351-38369.
Ahad, M. A., Paiva, S., Tripathi, G., & Feroz, N. (2020). Enabling technologies and sustainable smart cities. Sustainable Cities and Society, 61, 102301. https://doi.org/10.1016/j.scs.2020.102301
Ak, Ş. (2016). The role of technology‐based scaffolding in problem‐based online asynchronous discussion. British Journal of Educational Technology, 47(4), 680-693. https://doi.org/10.1111/bjet.12254
Alanya-Beltran, J., Hassan, A. M. M., Bag, A., Debnath, M., & Bora, A. (2022, May 26). Critical Analysis of Intelligent IoT in Creating Better Smart Waste Management and Recycling for Sustainable Development.[ Conference paper] In International Conference on Emerging Technologies in Computer Engineering (pp. 217-225). Cham: Springer International Publishing. https://link.springer.com/chapter/10.1007/978-3-031-07012-9_19
Ansari, A. H., & Malik, S. (2017). Ability-based emotional intelligence and knowledge sharing: The moderating role of trust in co-workers. VINE Journal of Information and Knowledge Management Systems, 47(2), 211-227.https://doi.org/10.1108/VJIKMS-09-2016-0050
Asterhan, C. S., & Eisenmann, T. (2011). Introducing synchronous e-discussion tools in co- located classrooms: A study on the experiences of “active” and “silent” secondary school students. Computers in Human Behavior, 27(6), 2169–2177. https://doi.org/10.1016/j.chb.2011.06.011
Aygün, H. E., & Taşkın, Ç. Ş. (2022). The effect of social-emotional learning program on social-emotional skills, academic achievement and classroom climate. Psycho-Educational Research Reviews, 11(1), 59- 76. https://doi.org/10.52963/PERR_Biruni_V11.N1.05
Aygün, H. E., & Taşkın, Ç. Ş. (2022). The effect of social-emotional learning program on social-emotional skills, academic achievement and classroom climate. Psycho-Educational Research Reviews, 11(1), 59-76. https://doi.org/10.52963/PERR_Biruni_V11.N1.05
Balyk, N., Leshchuk, S., & Yatsenyak, D. (2023). Design and implementation of an IoT-based educational model for smart homes: a STEM approach. Journal of Edge Computing, 2(2), 148-162. https://doi.org/10.55056/jec.632
Barry, N. (2014).The ITEEA 6E learning byDeSIGNTM Model. Technol. Eng. Teach., 73, 14–19.
Berland, L. K., & Steingut, R. (2016). Explaining variation in student efforts towards using math and science knowledge in engineering contexts. International Journal of Science Education, 38(18), 2742-2761. https://doi.org/10.1080/09500693.2016.1260179
Besemer, S. P. & Treffinger, D. J. (1981). Analysis of creative products: Review and synthesis. The Journal of Creative Behavior, 15(3), 158-178. . https://doi.org/10.1002/j.2162-6057.1981.tb00287.x
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. https://doi.org/10.1111/j.1949-8594.2011.00109.x
Bruner, J. S. (2009). Actual minds, possible worlds. Harvard university press.
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.
Burbaitė, R., Drąsutė, V., & Štuikys, V. (2018). Integration of computational thinking skills in STEM-driven computer science education. In 2018 IEEE Global Engineering Education Conference (EDUCON) (pp.1824-1832).https://doi.org/10.1109/EDUCON.2018.8363456
Burke, B. N. (2014). “The ITEEA 6E Learning by Design Model.” Technology and Engineering Teacher, 73 (6), 14–17
Bybee, R. W. (2009). The BSCS 5E instructional model and 21st century skills. Colorado Springs, CO: BSCS. https://doi.org/ 10.12691/education-7-6-6
Bybee, R. W. (2013). The case for STEM education: Challenges and opportunities. National Science Teachers Association Press.
Castillo, R., Salguero, J. M., Fernández-Berrocal, P., & Balluerka, N. (2013).Effects of an emotional intelligence intervention on aggression and empathy among adolescents. Journal of adolescence, 36(5), 883-892. https://doi.org/10.1016/j.adolescence.2013.07.001
Castro Lundin, A., Ozkil, A. G., & Schuldt-Jensen, J. (2017). Smart cities: A case study in waste monitoring and management. http://hdl.handle.net/10125/41320
Cesareni, D., Cacciamani, S., & Fujita, N. (2016). Role taking and knowledge building in a blended university course. International Journal of Computer-Supported Collaborative Learning, 11(1), 9-39. https://doi.org/10.1007/s11412-015-9224-0
Chalmers, C., Carter, M. L., Cooper, T., & Nason, R. (2017). Implementing “big ideas” to advance the teaching and learning of science, technology, engineering, and mathematics (STEM). International Journal of Science and Mathematics Education, 15(1), 25-43. . https://doi.org/10.1007/s10763-017-9799-1
Chen, B., & Hong, H.-Y. (2016). Schools as knowledge-building organizations: Thirty years of design research. Educational Psychologist, 51(2), 266–288. https://doi.org/10.1080/00461520.2016.1175306
Chen, J. C., Huang, Y., Lin, K. Y., Chang, Y. S., Lin, H. C., Lin, C. Y., & Hsiao, H. S. (2020). Developing a hands‐on activity using virtual reality to help students learn by doing. Journal of Computer Assisted Learning, 36(1), 46-60. https://doi.org/10.1111/jcal.12389
Chen, J. J., & Adams, C. B. (2022). Drawing from and Expanding their Toolboxes: Preschool Teachers’ Traditional Strategies, Unconventional Opportunities, and Novel Challenges in Scaffolding Young Children’s Social and Emotional Learning During Remote Instruction Amidst COVID-19. Early Childhood Education Journal,51, 1-13. https://doi.org/10.1007/s10643-022-01359-6
Chen, S. Y., Lai, Y. H., & Lin, Y. S. (2020). Research on head-mounted virtual reality and computational thinking experiments to improve the learning effect of AIoT maker course: case of earthquake relief scenes. Frontiers in psychology, 11, 1164. https://doi.org/10.3389/fpsyg.2020.01164
Chernyshenko, O. S., Kankaraš, M., & Drasgow, F. (2018). Social and emotional skills for student success and well-being: Conceptual framework for the OECD study on social and emotional skills. https://doi.org/10.1787/19939019
Ching, Y. H., Hsu, Y. C., & Baldwin, S. (2018). Developing computational thinking with educational technologies for young learners. TechTrends, 62(6), 563-573. https://doi.org 10.1007/s11528-018-0292-7
Ching, Y. H., Yang, D., Wang, S., Baek, Y., Swanson, S., & Chittoori, B. (2019). Elementary school student development of STEM attitudes and perceived learning in a STEM integrated robotics curriculum. TechTrends, 63(5), 590-601. https://doi.org/10.1007/s11528-019-00388-0
Chung, C. C., Lin, C. L., & Lou, S. J. (2018). Analysis of the learning effectiveness of the STEAM-6E special course—A case study about the creative design of IoT assistant devices for the elderly. Sustainability, 10(9),30-46.https://doi.org/10.3390/su10093040
Collaborative for Academic, Social, and Emotional Learning. (2020). Core SEL competencies. https://casel.org/casel-sel-framework-11-2020/
Conley, C. S. (2015). SEL in higher education. Handbook of social and emotional learning: Research and practice, 197-212. Guilford Press
Domitrovich, C. E., Harris, A. R., Syvertsen, A. K., Morgan, N., Jacobson, L., Cleveland, M., ... & Greenberg, M. T. (2022). Promoting Social and Emotional Learning in Middle School: Intervention Effects of Facing History and Ourselves. Journal of youth and adolescence. https://doi.org/1-16.10.1007/s10964-022-01596-3
Dong, Z. Y., Zhang, Y., Yip, C., Swift, S., & Beswick, K. (2020). Smart campus: definition, framework, technologies, and services. IET Smart Cities, 2(1), 43-54. https://doi.org/10.1049/iet-smc.2019.0072
Fan, S. C., Yu, K. C., & Lin, K. Y. (2021). A framework for implementing an engineering-focused STEM curriculum. International Journal of Science and Mathematics Education, 19(8), 1523-1541.https://doi.org/10.1007/s10763-020-10129-y
Fidai, A., Kwon, H., Buettner, G., Capraro, R. M., Capraro, M. M., Jarvis, C., ... & Verma, S. (2019, October 16-19). Internet of Things (IoT) Instructional Devices in STEM Classrooms: Past, Present and Future Directions. Covington, KY, USA. In 2019 IEEE Frontiers in Education Conference (FIE) (pp. 1-9). IEEE. https://doi.org/10.1109/FIE43999.2019.9028679
Graesser, A. C., Fiore, S. M., Greiff, S., Andrews-Todd, J., Foltz, P. W., & Hesse, F. W. (2018). Advancing the science of collaborative problem solving. Psychological Science in the Public Interest, 19(2), 59-92. https://doi.org/10.1177/1529100618808244
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future generation computer systems, 29(7), 1645-1660. https://doi.org/10.1016/j.future.2013.01.010
Gutiérrez-Braojos, C., Rodríguez-Domínguez, C., Daniela, L., & Carranza-García, F. (2023). An analytical dashboard of collaborative activities for the knowledge building. Technology, Knowledge and Learning, 1-27. https://doi.org/10.1007/s10758-023-09644-y
Ha, C. (2023). Students’ self-regulated learning strategies and science achievement: exploring the moderating effect of learners’ emotional skills. Cambridge Journal of Education, 1-22. https://doi.org/10.1080/0305764X.2023.2175787
Hod, Y., Katz, S., & Eagan, B. (2020). Refining qualitative ethnographies using epistemic network analysis: a study of socioemotional learning dimensions in a humanistic knowledge building community. Computers & Education, 156, 103943. https://doi.org/10.1016/j.compedu.2020.103943
Hong, H. Y., Lin, P. Y., Chen, B., & Chen, N. (2019). Integrated STEM learning in an idea-centered knowledge-building environment. The Asia-Pacific Education Researcher, 28(1), 63-76. https://doi.org/10.1007/s40299-018-0409-y
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. https://doi.org/10.1080/10494820.2019.1636090
Janiesch, C., Zschech, P., & Heinrich, K. (2021). Machine learning and deep learning. Electronic Markets, 31(3), 685-695. https://doi.org/10.1007/s12525-021-00475-2
Jongluecha, P., & Worapun, W. (2022). Developing Grade 3 Student Science Learning Achievement and Scientific Creativity Using the 6E Model in STEAM Education. Journal of Educational Issues, 8(2), 142-151. https://doi.org/10.5296/jei.v8i2.20049
Kaniawati, D. S., & Suryadi, S. (2017). Integration of STEM education in learning cycle 6E to improve problem solving skills on direct current electricity. Proceeding of ICMSE, 3(1), 106-109.
Kashi, S., Hod, Y., Lee, A. V. Y., Yuan, G., Cohen, E., Bielaczyc, K., ... & Zhang, J. (2023). Infrastructuring for Knowledge Building: Advancing a framework for sustained innovation. Qwerty-Open and Interdisciplinary Journal of Technology, Culture and Education, 18(1), 139-156. https://doi.org/10.30557/QW000068
Khalil, N. & Osman, K. (2017). STEM-21CS module: Fostering 21st century skills through integrated STEM. K-12 STEM Education, 3(3), 225-233. https://www.learntechlib.org/p/209552/.
Kortuem, G., Bandara, A., Smith, N., Richards, M., & Petre, M. (2013). Educating the Internet-of-Things generation. Computer, 46(2), 53–61. https://doi.org/10.1109/MC.2012.390
Kuguoglu, B. K., van der Voort, H., & Janssen, M. (2021). The Giant Leap for Smart Cities: Scaling Up Smart City Artificial Intelligence of Things (AIoT) Initiatives. Sustainability, 13(21), 12295. https://doi.org/10.3390/su132112295
KÜPANA, M. N. (2015). Social emotional learning and music education. SED-Sanat Eğitimi Dergisi, 3(1), 75-88.https://doi.org/ 10.7816/sed-03-01-05
Kusumah, Y. S., & Martadiputra, B. A. P. (2022). Investigating the Potential of Integrating Augmented Reality into the 6E Instructional 3D Geometry Model in Fostering Students' 3D Geometric Thinking Processes. International Journal of Interactive Mobile Technologies, 16(6). https://doi.org/10.3991/ijim.v16i06.27819
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.https://doi.org/10.1187/cbe.09-12-0092
Lai, Y. H., Chen, S. Y., Lai, C. F., Chang, Y. C., & Su, Y. S. (2021). Study on enhancing AIoT computational thinking skills by plot image-based VR. Interactive Learning Environments, 29(3), 482-495. https://doi.org/10.1080/10494820.2019.1580750
Lawrence, M., & Woods, E. (2014). Smart waste–advanced collection, processing, energy recovery, and disposal technologies for the Municipal Solid Waste Value Chain: Global WORLD ENERGY COUNCIL. Navigant Research.
Lee, M. H., Chai, C. S., & Hong, H. Y. (2019). STEM education in Asia Pacific: Challenges and development. The Asia-Pacific Education Researcher, 28(1), 1-4. https://doi.org/10.1007/s40299-018-0424-z
Lei, C., & Chan, C. K. (2018). Developing metadiscourse through reflective assessment in knowledge building environments. Computers & Education, 126, 153-169. https://doi.org/10.1016/j.compedu.2018.07.006
Lim, T. C., Wilson, B., Grohs, J. R., & Pingel, T. J. (2022). Community-engaged heat resilience planning: Lessons from a youth smart city STEM program. Landscape and Urban Planning, 226, 104497. https://doi.org/10.1016/j.landurbplan.2022.104497
Lin, F., & Chan, C. K. (2018). Examining the role of computer‐supported knowledge‐building discourse in epistemic and conceptual understanding. Journal of Computer Assisted Learning, 34(5), 567-579. https://doi.org/10.1111/jcal.12261
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. https://doi.org/10.1080/02635143.2018.1561432
Lin, Y. S., Chen, S. Y., Tsai, C. W., & Lai, Y. H. (2021). Exploring computational thinking skills training through augmented reality and AIoT learning. Frontiers in Psychology, 12, 640115. https://doi.org/10.3389/fpsyg.2021.640115
Malik, S. (2022). Emotional intelligence and innovative work behaviour in knowledge-intensive organizations: how tacit knowledge sharing acts as a mediator?. VINE Journal of Information and Knowledge Management Systems, 52(5), 650-669.https://doi.org/10.1108/VJIKMS-09-2020-0158
Matthews, G., Zeidner, M., & Roberts, R. D. (2006). Models of Personality and Affect for Education: A Review and Synthesis. In P. A. Alexander & P. H. Winne (Eds.), Handbook of educational psychology (pp. 163–186). Lawrence Erlbaum Associates
Mayer, J. D., Roberts, R. D., & Barsade, S. G. (2008). Human abilities: Emotional intelligence. Annual Review of Psychology, 59, 507–536. 10.1146/annurev.psych. https://doi.org/59.103006.093646
Mazzer, K. R., & Rickwood, D. J. (2014). Teachers’ role breadth and perceived efficacy in supporting student mental health. Advances in School Mental Health Promotion, 8(1), 29–41. https://doi.org/10.1080/1754730X.2014.978119
McGraw, K. O., & Wong, S. P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods, 1(1), 30-46. https://doi.org/10.1037/1082-989X.1.1.30
Merrill, C. (2009). The Future of TE Masters Degrees: STEM. Presentation at the 70th Annual International Technology Education Association Conference, Louisville, Kentucky.(2012, December 8). Integrative STEM education as “best practice”. Integrative STEM education as “best practice.
Miyake, N., & Kirschner, P. A. (2014). The social and interactive dimensions of collaborative learning. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 418–438). Cambridge University Press. https://doi.org/10.1017/CBO9781139519526.026
Moore, T. J., Stohlmann, M. S., Wang, H. H., Tank, K. M., Glancy, A. W., & Roehrig, G. H. (2014). Implementation and integration of engineering in K-12 STEM education. In Engineering in Pre-College Settings: Synthesizing Research, Policy, and Practices (pp. 35-60). Purdue University Press.
Morcom, V. (2015). Scaffolding social and emotional learning within ‘shared affective spaces’ to reduce bullying: A sociocultural perspective. Learning, Culture and Social Interaction, 6, 77-86. https://doi.org/10.1016/j.lcsi.2015.04.002
Muhonen, H., Rasku-Puttonen, H., Pakarinen, E., Poikkeus, A. M., & Lerkkanen, M. K. (2017). Knowledge-building patterns in educational dialogue. International Journal of Educational Research, 81, 25-37. https://doi.org/10.1016/j.ijer.2016.10.005
Nadelson, L. S. & Seifert, A. L. (2017). Integrated STEM defined: Contexts, challenges, and the future. The Journal of Educational Research, 110(3), 221-223. https://doi.org/10.1080/00220671.2017.1289775
Näykki, P., Järvenoja, H., Järvelä, S., & Kirschner, P. (2017). Monitoring makes a difference: Quality and temporal variation in teacher education students’ collaborative learning. Scandinavian Journal of Educational Research, 61(1), 31-46. https://doi.org/10.1080/00313831.2015.1066440
Niu, S. J., Niemi, H., & Furman, B. (2022). Supporting K-12 Students to Learn Social-Emotional and Self-Management Skills for Their Sustainable Growth with the Solution-Focused Kids’ Skills Method. Sustainability, 14(13), 7947. https://doi.org/10.3390/su14137947
Organisation for Economic Co-operation and Development. (2021). Beyond academic learning: First results from the survey of social and emotional skills. OECD.
Panayiotou, M., Humphrey, N., & Wigelsworth, M. (2019). An empirical basis for linking social and emotional learning to academic performance. Contemporary Educational Psychology, 56, 193-204. https://doi.org/10.1016/j.cedpsych.2019.01.009
Papadakis, S. (2020). Evaluating a teaching intervention for teaching STEM and programming concepts through the creation of a weather-forecast app for smart mobile devices. In Handbook of research on tools for teaching computational thinking in P-12 education (pp. 31-53). IGI Global. https://doi.org/10.4018/978-1-7998-4576-8.ch002
Partnership for 21st Century Skills. (2019). Framework for 21st century learning. Retrieved .http://www.battelleforkids.org/learning-hub/learning-hub-item/framework-for-21st-century- learning
Peterson, A. (2018). Connecting STEM curriculum with social emotional learning in early childhood. Undergraduate Research Journal, 22(1), 5.
Philibert, C. T. (2021). Everyday SEL in High School: Integrating Social Emotional Learning and Mindfulness Into Your Classroom. Routledge. https://doi.org/10.4324/9781003141068
Prabha, C., Mittal, P., Sharma, A., & Singh, J. (2022, November). AIoT Emerging Technologies, Use Cases, and Its Challenges in Implementing Smart Cities. In 2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon) (pp. 1-5). IEEE. https://doi.org/10.1109/NKCon56289.2022.10126917
Reicher, H. (2010). Building inclusive education on social and emotional learning: Challenges and perspectives–a review. International Journal of Inclusive Education, 14(3), 213-246. https://doi.org/10.1080/13603110802504218
Şahin, Ş., & Kiliç, A. (2023). Effectiveness of the project-based 6E learning model. European Journal of Open, Distance and E-Learning, 25(1), 31-48. https://doi.org/10.2478/eurodl-2023-0003
Sahni, S. (2018). Integrating assessments in innovative learning process. In The Future of Higher Education in the Middle East and Africa (pp. 105-124). Springer Publishing. https://doi.org/10.1007/978-3-319-64656-5_10
Salinger, G., & Zuga, K. (2009). Background and history of the STEM movement. The overlooked STEM imperatives: Technology and engineering, 4-9. Reston, VA: ITEEA.
Sanders, M. E. (2008). Stem, stem education, stemmania.
Santa Barbara: ABC-CLIO. Brackett, M. A., Rivers, S. E., & Salovey, P. (2011). Emotional intelligence: implications for personal, social, academic, and workplace success. Social and Personality Psychology Compass, 5(1), 88–103. https://doi.org/10.1111/j.1751-9004.2010.00334.x
Scardamalia, M. (2002). Collective cognitive responsibility for the advancement of knowledge. In B. Smith (Ed.) Liberal Education in a Knowledge Society (pp. 67-98). Chicago: Open Court.
Scardamalia, M. (2004). CSILE/Knowledge Forum. In Education and Technology: An Encyclopedia (pp. 183-192).
Scardamalia, M., & Bereiter, C. (2006). Knowledge building: Theory, pedagogy, and technology. In K. Sawyer (Ed.), Cambridge Handbook of the Learning Sciences (pp. 97-118).New York: Cambridge University Press. https://www.learntechlib.org/p/43123/.
Schonert-Reichl, K. A. (2019). Advancements in the landscape of social and emotional learning and emerging topics on the horizon. Educational psychologist, 54(3), 222-232. https://doi.org/10.1080/00461520.2019.1633925
Soliman, D., Costa, S., & Scardamalia, M. (2021). Knowledge building in online mode: Insights and reflections. Education Sciences, 11(8), 425. https://doi.org/10.3390/educsci11080425
Stallman, H. M. (2010). Psychological distress in university students: A comparison with general population data. Australian Psychologist, 45(4), 249-257. https://doi.org/10.1080/00050067.2010.482109
Stehle, S. M., & Peters-Burton, E. E. (2019). Developing student 21 st Century skills in selected exemplary inclusive STEM high schools. International Journal of STEM education, 6(1), 1-15. https://doi.org/10.1186/s40594-019-0192-1
Štuikys, V., & Burbaitė, R. (2018). Smart STEM‐driven computer science eduscation—Theory, methodology and robot‐based practices. Springer Publishing.https://doi.org/10.1007/978‐3‐319‐78485‐4
Taylor, R. D., Oberle, E., Durlak, J. A., & Weissberg, R. (2017). Promoting positive youth development through school-based social and emotional learning interventions: A meta-analysis of follow-up effects. Child Development, 88(4), https://doi.org/1156–1171. 10.1111/cdev.12864
Thomas, C. L., Zolkoski, S. M., & Sass, S. M. (2022). Investigating the psychometric properties of the social-emotional learning scale. Assessment for Effective Intervention, 47(3), 127-136. https://doi.org/10.1177/15345084209845
Tosey, P., & Marshall, J. (2017). The demise of inquiry-based HRD programmes in the UK: Implications for the field. Human Resource Development International, 20(5), 393-402. https://doi.org/10.1080/13678868.2017.1329368
Tsai, C. C., Cheng, Y. M., Tsai, Y. S., & Lou, S. J. (2021). Impacts of AIOT implementation course on the learning outcomes of senior high school students. Education Sciences, 11(2), 82-111. https://doi.org/10.3390/educsci11020082
Vygotsky, L. S., & Cole, M. (1978). Mind in society: Development of higher psychological processes. Harvard university press.
Wu, H. T., & Tseng, K. C. (2023, April). Smart Farm Teaching Aids Based on STEM Concepts. In International Conference on Bio-inspired Information and Communication Technologies (pp. 11-21). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43135-7_2
Wu, T. T., Lee, H. Y., Wang, W. S., Lin, C. J., & Huang, Y. M. (2023). Leveraging computer vision for adaptive learning in STEM education: effect of engagement and self-efficacy. International Journal of Educational Technology in Higher Education, 20(1), 53-79. https://doi.org/10.1186/s41239-023-00422-5
Zhang, H., Li, J., Wen, B., Xun, Y., & Liu, J. (2018). Connecting intelligent things in smart hospitals using NB-IoT. IEEE Internet of Things Journal, 5(3), 1550-1560. https://doi.org/10.1109/JIOT.2018.2792423
Zhou, M., & Ee, J. (2012). Development and validation of the social emotional competence questionnaire (SECQ). https://doi.org/10.1037/t69172-000
Zhu, G., Raman, P., Xing, W., & Slotta, J. (2021). Curriculum design for social, cognitive and emotional engagement in Knowledge Building. International Journal of Educational Technology in Higher Education, 18, 1-19. https://doi.org/10.1186/s41239-021-00276-9
Zhu, Y., Jia, G., Han, G., Zhou, Z., & Guizani, M. (2019, June). An NB-IoT-based smart trash can system for improved health in smart cities.[ [Poster presentation ] In 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC). IEEE. https://doi.org/10.1109/IWCMC.2019.8766748