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Educação/Ensino
Publicado: 2021-09-29

STEAM education- metacognition – Specific Learning Disabilities

N.C.S.R. "Demokritos"ΙΙΤ- Net Media Lab & Mind - Brain R&D, Athens, Greece
N.C.S.R. "Demokritos"ΙΙΤ- Net Media Lab & Mind - Brain R&D, Athens, Greece
STEM education, Problem-based learning, Science education, Specific learning disabilities, Metacognition, 21st century skills, Problem solving

Resumo

Students with Specific Learning Disabilities, tend to have low academic performance because of the cognitive disorders and deficits of their working memory, as well as executing fuctions like these of processing - organizing and recalling information. Development of the Metacognitive skills, like those that presented by Drigas & Mitsea (2020), as 8 pillars of Metacognition, such as self-Awareness, self-Monitoring and Self-Regulation, helping these students recognize their weaknesses and introduce strategies and tactics will assist them to compensate their cognitive deficits, by becoming more flexible and adapt to any changes coming up, better. STEAM (Science, Technology, Engineering, Art, and Mathematics) education involves students in the education process, via a multifaceted and multi-sensory approach of to develop Meta-cognitive Skills, control the way they learn while building up the necessary knowledge, in order to secure equal academic and career opportunities. As a result, their independence and self-esteem being boosted preparing them to come up against 21st century challenges.

Referências

  1. ANWARI, I.; YAMADA, S.; UNNO, M.; SAITO, T.; SUWARMA, I.; MUTAKINATI, L.; KUMANO, Y. Implementation of authentic learning and assessment through STEM education approach to improve students’ metacognitive skills. K-12 STEM Education. Vol.1, n.3, p.123-136, 2015.
  2. http://dx.doi.org/10.14456/k12stemed.2015.24
  3. BASHAM, J.; MARINO, M. Understanding STEM education and supporting students through universal design for learning. Teaching exceptional children. Vol.45, n.4, p.8-15, 2013. https://doi.org/10.1177%2F004005991304500401
  4. BOGDANOVIC, I.; OBADOVIC, D.; CVJETICANIN, S. Students’ metacognitive awareness and physics learning efficiency and correlation between them. European Journal of Physics Education. Vol.6, n.2, p.18-30, 2015. http://dx.doi.org/10.20308/ejpe.96231
  5. KAGAR, C; KAGAR, T. The Impact of Children’s Long-Term Participation in STEM Clubs on Their Attitudes towards STEM Subjects. International Journal of Computer Science Education in Schools. Vol.2, n.5, p.20-29, 2019. https://doi.org/10.21585/ijcses.v0i0.51
  6. CHARYTON, C.; MERRILL, J. Assessing General Creativity and Creative Engineering Design in First Year Engineering Students. Journal of Engineering Education. Vol.98, n.2, p.145–156, 2009. https://doi.org/10.1002/j.2168-9830.2009.tb01013.x
  7. CORLU, M.; AYDIN, E. Evaluation of Learning Gains through Integrated STEM Projects . International Journal of Education in Mathematics, Science and Technology. Vol.4, n.1, p. 20-29, 2016. http://dx.doi.org/10.18404/ijemst.35021
  8. COUTINHO, M.; REDFORD, J.; CHURCH, B. A. The Interplay Between Uncertainty Monitoring and Working Memory: Can metacognition become automatic?. Memory & Cognition. Vol.43, p.990-1006, 2015. http://dx.doi.org/10.3758/s13421-015-0527-1
  9. DRIGAS, A. S.; KARYOTAKI, M. A Layered Model of Human Consciousness. International Journal of Recent Contributions from Engineering Science & IT (iJES). Vol.7, n.3, p.41-50, 2019. https://doi.org/10.3991/ijes.v7i3.11117
  10. DRIGAS, A.S.; KARYOTAKI, M. Executive Fuctioning and Problem Solving: A Bidirectional Relation. International Journal of Engineering Pedagogy (iJEP). Vol.9, n.3, p.76-98, 2019. http://dx.doi.org/10.3991/ijep.v9i3.10186
  11. DRIGAS, A.S.; MITSEA, E. The 8 Pillars of Metacognition. International Journal of Emerging Technologies in Learning (iJET). Vol.15, n.21, p.162-178, 2020. http://dx.doi.org/10.3991/ijet.v15i21.14907
  12. DRIGAS, A.S.; MITSEA, E.; MANTAS, P. Soft Skills & Metacognition as Inclusion Amplifiers in the 21st Century. International Journal of Online and Biomedical Engineering (iJOE). Vol.17, n.4, p.121-132, 2021. http://dx.doi.org/10.3991/ijoe.v17i04.20567
  13. EFKLIDES, A. The role of metacognitive experiences in the learning process. Psicothema, v.21, n.1, p.76-82, 2009.
  14. ENGLISH, L. Learning while designing in a fourth-grade integrated STEM problem. International Journal of Technology and Design Education. Vol.29, p.1011-1032, 2018. https://doi.org/10.1007/s10798-018-9482-z
  15. ERDOGAN, N.; STUESSYB, C. Examining the Role of Inclusive STEM Schools in the College and Career Readiness of Students in the United States: A Multi-Group Analysis on the Outcome of Student Achievemen. Educational Sciences: Theory and Practice. Vol.15, n.6, p.1517-1529,2015. https://doi.org/10.12738/estp.2016.1.0072
  16. FLYNN, K. Fostering Critical Thinking Skills in Students with Learning Disabilities through Online Problem-Based Learning. In: International Comference e-learning 2014, July 15-19, Lisbon, Portugal, International Association for the Development of the Information Society, 2014.
  17. HWANG, J.; TAYLOR, J. Stemming on STEM: A STEM education framework for students with disabilities. Journal of Science Education for Students with Disabilities. Vol.19, n.1, p.39-49, 2016.
  18. http://dx.doi.org/10.14448/jsesd.06.00017
  19. KAFADAR, H. Cognitive Model of Problem Solving. Yeni Symposium. Vol.50, n.4, 2012.
  20. KEFALIS, C.; DRIGAS, A.S. Web Based and Online Applications in Stem Education. International Journal of Engineering Pedagogy (i-Jep). Vol.9, n.4, p.76-85, 2019. https://doi.org/10.3991/ijep.v9i4.10691
  21. MOGONEA, F.R.; MOGONEA, F. The specificity of developing metacognition at children with learning difficulties. Procedia-Social and Behavioral Sciences. Vol.78, p.155-159, 2013.
  22. https://doi.org/10.1016/j.sbspro.2013.04.270
  23. MUTAKINATI, L.; ANWARI, I.; KUMANO, Y. Analysis of students’ critical thinking skill of middle school through stem education project-based learning. Jurnal Pendidikan IPA Indonesia. Vol.7, n.1, p.54-65, 2018.
  24. https://doi.org/10.15294/jpii.v7i1.10495
  25. PAPPAS, M. A.; DRIGAS, A. S.; Polychroni, F. An Eight-Layer Model for Mathematical Cognition. International Journal of Emerging Technologies in Learning (iJET). Vol.13, n.10, p.69-82, 2018.
  26. https://doi.org/10.3991/ijet.v13i10.8633
  27. PHANG, F.; YUSOF, K.; ABD AZIZ, A.; NAWI, N. Cooperative problem-based learning to develop 21st century skills among secondary school students through STEM education. In: 7th World Engineering Education Forum (WEEF), 13-16 Nov 2017, Kuala Lumpur Malaysia, IEEE., 2018. https://doi.org/10.1109/WEEF.2017.8467122
  28. PINTO- LIORENTE, A.; CASILLAS- MARTIN, S.; CABEZAS- MARTIN, M.; GARCIA, P. Developing Computational Thinking via theVisual Programming Tool: Lego Education WeDo. In: Fourth International Conferenceon Technological Ecosystems for Enhancing Multiculturality, Nov 2016 Spain, Association for computing Machinery, NY USA, 2016.
  29. https://doi.org/10.1145/3012430.3012495
  30. PLASMAN, J.; GOTTFRIED, Μ. Applied STEM coursework, high school dropout rates, and students with learning disabilities. Educational Policy. ?Vol.32, n.5, p.664-696, 2018.
  31. https://doi.org/10.1177%2F0895904816673738
  32. ROBERTSON, S. Perspectives from Cognition and Neuroscience. In: Problem Solving, 2nd Edition, London & New York, Routledge, 2017, ISBN 9781315712796
  33. ROGERS, M.; HODGE, J.; COUNTS, J. Self-Regulated Strategy Development in Reading, Writing, and Mathematics for Students With Specific Learning Disabilities. Teaching Exceptional Children. Vol.53, n.2, p.104-112, 2020.
  34. http://dx.doi.org/10.1177/0040059920946780
  35. SLEKIENE, V.; LAMANAUSKAS, V. Development and Improving Students Experimental Skills Through STEM Activities. Natural Science Education. Vol.17, n.2, p.61-73. 2020. http://dx.doi.org/10.48127/gu-nse/20.17.61
  36. SOCRATOUS, C.; IOANNOU, A. Using Educational Robotics as Tools for Metacognition: an Empirical Study in Elementary STEM Education. Directorate General for European Programmes, Coordination and Development, 2020. http://dx.doi.org/10.3217/978-3-85125-657-4-11
  37. STERNBERG, R. J. Cognitive Psychology (3rd edition). Wadsworth, 2003, ISBN 978-960-953-997-5.
  38. TRAININ, G.; SWANSON, H. Cognition, Metacognition and Achievement of College Students with Learning Disabilities. Learning Disability Quarterly. Vol.28, n.4, p. 261-272, 2005. http://dx.doi.org/10.2307/4126965
  39. VELASQUEZ, F.; CABABARO BUENO, D. Metacognitive Skills in Problem Solving of Senior High School STEM Strand Students. Institutional Multidisciplinary Research and Development Journal. Vol.2, p.124-129, 2019.
  40. DOI: 10.13140/RG.2.2.18820.99207
  41. VENVILLE, G.; RENNIE , L.; WALLACE, J. Decision Making and Sources of Knowledge: How Students Tackle Integrated Tasks in Science, Technology and Mathematics. Research in Science Education. Vol. 34, p. 115-135, 2004. https://doi.org/10.1023/B:RISE.0000033762.75329.9b
  42. WOOLFOLK, A. Education Psychology, 9th Edition. Pearsonn Education Inc. 2005.
  43. ZAYYAD, M. STEAM Education for Students with Specific Learning Disorders. Research highlights in education and science, p.31-42, 2019.

Como Citar

Lytra, N., & Drigas, A. (2021). STEAM education- metacognition – Specific Learning Disabilities. Scientific Electronic Archives, 14(10). https://doi.org/10.36560/141020211442