The impact of STEAM education using robotics on the executive function of typical and ADHD students along with developmental exploration

Authors

DOI:

https://doi.org/10.14295/bjs.v3i2.467

Keywords:

Educational robotics, executive functions, STEAM, ADHD

Abstract

Educational Robotics (ER) is a novel learning approach renowned mostly for its effects on scientific academic disciplines such as science, technology, engineering, arts and mathematics (STEAM). According to recent research, ER can also influence cognitive development by increasing critical reasoning and planning abilities. The purpose of this study was to quantify the potential of ER to empower Executive Functions (EF), including the ability to govern, update, and program information. Executive Function (EF) refers to a complex set of cognitive control processes required for adaptive daily functioning. EFs are more predictive of intellectual progress, health, wealth, and quality of life over the life span than IQ or socioeconomic position. Evidence suggests that EFs can be divided into three core capacities (working memory, inhibition, and shifting), which work together to support higher-order cognitive processing (e.g., planning, problem solving) required to stay on track, resist contrary impulses and distraction, and pursue more-positive (rather than most-immediate) outcomes. Given the importance of EFs, there is a growing interest in enhancing them. The current study sought also to validate the ER's efficacy on EF in children with ADHD.

References

Abdi, A., Arabani Dana, A., Hatami, J., & Parand, A. (2014). The Effect of cognitive computer games on working memory, attention and cognitive flexibility in students with attention deficit/hyperactivity disorder. Journal of Exceptional Children, 14(1), 20-33.

American Psychiatric Association blog (2017). Executive Function of the Brain: Key to Organizing, Managing Time and More. Retrieved from https://www.psychiatry.org/news-room/apa-blogs/apa-blog/2017/01/executive-functionof- the-brain-key-to-organizing-managing-time-and-more

Bakola, L., & Drigas, A. (2020). Technological development process of emotional Intelligence as a therapeutic recovery implement in children with ADHD and ASD comorbidity. International Journal of Online & Biomedical Engineering, 16(3), 75-85. https://doi.org/10.3991/ijoe.v16i03.12877 DOI: https://doi.org/10.3991/ijoe.v16i03.12877

Basham, J. D., Stahl, S., Ortiz, K., Rice, M. F., & Smith, S. (2015). Equity matters: Digital & online learning for students with disabilities. Lawrence, KS: Center on Online Learning and Students with Disabilities.

Bellman, S., Burgstahler, S., & Hinke, P. (2015). Academic Coaching: Outcomes from a Pilot Group of Postsecondary STEM Students with Disabilities. Journal of Postsecondary Education and Disability, 28, 103-108.

Bellman, S., Burgstahler, S., & Ladner, R. (2014). Work-based learning experiences help students with disabilities transition to careers: A case study of University of Washington projects, Work, 48(3), 399-405. DOI: https://doi.org/10.3233/WOR-131780

Best, J. R., Miller, P. H., & Naglieri, J. A. (2011). Relations between executive function and academic achievement from ages 5 to 17 in a large, representative national sample. Learning and individual differences, 21(4), 327-336. DOI: https://doi.org/10.1016/j.lindif.2011.01.007

Bak, M., Krabbendam, L., Delespaul, P., Huistra, K., Walraven, W., & van Os, J. (2008). Executive function does not predict coping with symptoms in stable patients with a diagnosis of schizophrenia. BMC psychiatry, 29, 8-39. DOI: https://doi.org/10.1186/1471-244X-8-39

Bouzaboul, M., Amri, A., Abidli, Z., Saidi, H., Faiz, N., Ziri, R., & Ahami, A. (2020). Relationship between Executive Functions and Academic Performance among Moroccan Middle School Students. Dement. Neuropsychol., 14, 194–199. DOI: https://doi.org/10.1590/1980-57642020dn14-020014

Burns, R.D., Fu, Y., & Brusseau, T.A., Clements-Nolle, K., & Yang, W. (2018). Relationships among Physical Activity, Sleep Duration, Diet, and Academic Achievement in a Sample of Adolescents. Prev. Med. Rep., 12, 71–74. DOI: https://doi.org/10.1016/j.pmedr.2018.08.014

Cast (2011). Universal Design for Learning (UDL) Guidelines Version 2.0.

Chaidi, I., & Drigas, A. (2020). Parents' Involvement in the Education of their Children with Autism: Related Research and its Results International Journal Of Emerging Technologies In Learning, (IJET) 15 (14), 194-203. https://doi.org/10.3991/ijet.v15i14.12509 DOI: https://doi.org/10.3991/ijet.v15i14.12509

Chaidi, E., Kefalis, C., Papagerasimou, Y., & Drigas, A. (2021). Educational robotics in Primary Education. A case in Greece, 10 (9). https://doi.org/10.33448/rsd-v10i9.16371 DOI: https://doi.org/10.33448/rsd-v10i9.16371

Chipunza, P. R. C. (2013). Using mobile devices to leverage student access to collaboratively generated re-sources: A case of WhatsApp instant messaging at a South African University. International Confer-ence on Advanced Information and Communication Technology for Education.

Demertzi, E., Voukelatos, N., Papagerasimou, Y., & Drigas, A. (2018). Online learning facilities to support coding and robotics courses for youth. International Journal of Engineering Pedagogy (iJEP), 8(3), 69-80. DOI: https://doi.org/10.3991/ijep.v8i3.8044

Di Lieto, M. C., Inguaggiato, E., Castro, E., Cecchi, F., Cioni, G., Dell’Omo, M., et al. (2017). Educational robotics intervention on executive functions in preschool children: A pilot study. Comput. Hum. Behav. 71, 16–23. https://doi.org/10.1016/j.chb.2017.01.018 DOI: https://doi.org/10.1016/j.chb.2017.01.018

Di Lieto, M. C., Pecini, C., Castro, E., Inguaggiato, E., Cecchi, F., Dario, P., et al. (2019). “Robot programming to empower higher cognitive functions in early childhood,” in Smart Learning with Educational Robotics, ed. L. Daniela, (Cham: Springer), 229–250. https://doi.org/10.1007/978-3-030-19913-5 DOI: https://doi.org/10.1007/978-3-030-19913-5_9

Diamond, A. (2013). Executive functions. Ann. Rev. Psychol. 64, 135–168. https://doi.org/10.1146/annurev-psych-113011-143750 DOI: https://doi.org/10.1146/annurev-psych-113011-143750

Diamond, A., & Ling, D. S. (2016). Conclusions about interventions, programs, and approaches for improving executive functions that appear justified and those that, despite much hype, do not. Dev. Cogn. Neurosci, 18, 34–48. https://doi.org/10.1016/j.dcn.2015.11.005 DOI: https://doi.org/10.1016/j.dcn.2015.11.005

Doulou, A., & Drigas, A. (2022). Electronic, VR & Augmented Reality Games for Intervention in ADHD Technium Social Sciences Journal, 28, 159. https://doi.org/10.47577/ tssj.v28i1.5728 DOI: https://doi.org/10.47577/tssj.v28i1.5728

Drigas, A.S., Vrettaros, J., Koukianakis, L.G. & Glentzes, J.G. (2005). A Virtual Lab and e-learning system for renewable energy sources. Int. Conf. on Educational Tech.

Drigas, A., & Dourou, A. (2013). A Review on ICTs, E-Learning and Artificial Intelligence for Dyslexic's Assistance. iJet, 8(4), 63-67. DOI: https://doi.org/10.3991/ijet.v8i4.2980

Drigas, A., & Karyotaki, M. (2017). Attentional control and other executive functions. Int J Emerg Technol Learn iJET 12(3), 219–233 DOI: https://doi.org/10.3991/ijet.v12i03.6587

Drigas, A., & Karyotaki, M. (2019). Executive Functioning and Problem Solving: A Bidirectional Relation. International Journal of Engineering Pedagogy (iJEP) 9(3), 76-98. DOI: https://doi.org/10.3991/ijep.v9i3.10186

Drigas, A., Papoutsi, C., & Skianis. (2021). Metacognitive and Metaemotional Training Strategies through the Nine-layer Pyramid Model of Emotional Intelligence. International Journal of Recent Contributions from Engineering, Science & IT (iJES), 9(4) 58-76. https://doi.org/10.3991/ijes.v9i4.26189 DOI: https://doi.org/10.3991/ijes.v9i4.26189

Drigas, A., & Mitsea, E. (2022). Conscious Breathing: a Powerful Tool for Physical & Neuropsychological Regulation. The role of Mobile Apps Technium Social Sciences Journal 28, 135-158. https://doi.org/10.47577/tssj.v28i1.5922 DOI: https://doi.org/10.47577/tssj.v28i1.5922

Drigas, A., Mitsea, E., & Skianis, C. (2022). Clinical Hypnosis & VR, Subconscious Restructuring-Brain Rewiring & the Entanglement with the 8 Pillars of Metacognition X 8 Layers of Consciousness X 8 Intelligences. International Journal of Online & Biomedical Engineering (IJOE) 18 (1), 78-95. https://doi.org/10.3991/ijoe.v18i01.26859 DOI: https://doi.org/10.3991/ijoe.v18i01.26859

Dubuc, M.-M., Aubertin-Leheudre, M., & Karelis, A.D. (2020). Relationship between Interference Control and Working Memory with Academic Performance in High School Students: The Adolescent Student Academic Performance Longitudinal Study (ASAP). J. Adolesc, 80, 204–213. DOI: https://doi.org/10.1016/j.adolescence.2020.03.001

Garon, N., Bryson, S. E., & Smith, I. M. (2008). Executive function in preschoolers: a review using an integrative framework. Psychol. Bull, 134:31. https://doi.org/10.1037/0033-2909.134.1.31 DOI: https://doi.org/10.1037/0033-2909.134.1.31

Grunewaldt, K. H., Løhaugen, G. C. C., Austeng, D., Brubakk, A.-M., & Skranes, J. (2013). Working memory training improves cognitive function in VLBW preschoolers. Pediatrics 131, 747–754. https://doi.org/10.1542/peds.2012-1965 DOI: https://doi.org/10.1542/peds.2012-1965

Hwang, J., & Taylor, J. C. (2016). Stemming on STEM: A STEM education framework for students with disabilities. Journal of Science Education for Students with Disabilities, 19, 39-49. DOI: https://doi.org/10.14448/jsesd.06.00017

Karr, J. E., Areshenkoff, C. N., Rast, P., Hofer, S. M., Iverson, G. L., & Garcia-Barrera, M. A. (2018). The unity and diversity of executive functions: a systematic review and re-analysis of latent variable studies. Psychol. Bull. 144:1147. https://doi.org/10.1037/bul0000160 DOI: https://doi.org/10.1037/bul0000160

Kefalis, C., Kontostavlou, EZ., & Drigas, A, (2020). The Effects of Video Games in Memory and Attention. Int. J. Eng. Pedagog. (IJEP) 10 (1), 51-61. https://doi.org/10.3991/ijep.v10i1.11290 DOI: https://doi.org/10.3991/ijep.v10i1.11290

Koch, A. (2016). Project iCAN: A STEM learning and persistence model for postsecondary students with disabilities. University of Central Florida. Orlando, FL.

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

Miller, M. R., Giesbrecht, G. F., Müller, U., McInerney, R. J., & Kerns, K. A. (2012). A latent variable approach to determining the structure of executive function in preschool children. J. Cogn. Dev. 13, 395–423. https://doi.org/10.1080/ 15248372.2011.585478 DOI: https://doi.org/10.1080/15248372.2011.585478

Mitsea, E., Lytra, N., Akrivopoulou, A., & Drigas, A. (2020). Metacognition, Mindfulness and Robots for Autism Inclusion. Int. J. Recent Contributions Eng. Sci. IT 8 (2), 4-20. DOI: https://doi.org/10.3991/ijes.v8i2.14213

Milton, H. (2010). Effects Of A Computerized Working Memory Training Program On Attention, Working Memory, And Academics, In Adolescents With Severe ADHD/LD, psychology journal, 1(14), 120 – 122.

Morgan, P.L., Farkas, G., Wang, Y., Hillemeier, M.M., Oh, Y., & Maczuga, S. (2019). Executive Function Deficits in Kindergarten Predict Repeated Academic Difficulties across Elementary School. Early Child. Res. Q., 46, 20–32. DOI: https://doi.org/10.1016/j.ecresq.2018.06.009

Morningstar, M. E., Zagona, A. L., Uyanik, H., Xie, J., & Mahal, S. (2017). Implementing College and Career Readiness: Critical Dimensions for Youth With Severe Disabilities. Research and Practice for Persons with Severe Disabilities, 42 (3). https://doi.org/10.1177/1540796917711439 DOI: https://doi.org/10.1177/1540796917711439

Murphy, K. R., Barkley, R. A., & Bush, T. (2002). Young adults with attention deficit hyperactivity disorder: subtype differences in comorbidity, educational, and clinical history. The Journal of nervous and mental disease, 190(3), 147-157. DOI: https://doi.org/10.1097/00005053-200203000-00003

Parker, D. R., Hoffman, S. F., Sawilowsky, S., & Rolands, L. (2011). An Examination of the Effects of ADHD Coaching on University Students' Executive Functioning. Journal of Postsecondary Education and Disability, 24(2), 115-132.

Parker, D. R., & Boutelle, K. (2009). Executive Function Coaching for College Students with Learning Disabilities and ADHD: A New Approach for Fostering Self‐Determination. Learning Disabilities Research & Practice, 24(4), 204-215. DOI: https://doi.org/10.1111/j.1540-5826.2009.00294.x

Purpura, D.J., Schmitt, S.A., Ganley, C.M. (2017). Foundations of Mathematics and Literacy: The Role of Executive Functioning Components. J. Exp. Child Psychol., 153, 15–34. DOI: https://doi.org/10.1016/j.jecp.2016.08.010

Robinson, C., & Gahagan, J. (2010). Coaching students to academic success and engagement on campus. About Campus, 15(4), 26-29. https://doi.org/10.1002/abc.20032 DOI: https://doi.org/10.1002/abc.20032

Romine, C. B., & Reynolds, C. R. (2005). A model of the development of frontal lobe functioning: Findings from a meta-analysis. Applied neuropsychology, 12(4), 190-201. DOI: https://doi.org/10.1207/s15324826an1204_2

Stathopoulou, A., Karabatzaki, Z., Tsiros, D., Katsanton,i S., & Drigas, A. (2019). Mobile apps the educational solution for autistic students in secondary education. Journal of Interactive Mobile Technologies (IJIM) 13 (2), 89-101. https://doi.org/10.3991/ijim.v13i02.9896 DOI: https://doi.org/10.3991/ijim.v13i02.9896

Sowers, J.-A., Powers, L., Schmidt, J., Keller, T. E., Turner, A., Salazar, A., & Swank, P. R. (2017). A Randomized Trial of a Science, Technology, Engineering, and Mathematics Mentoring Program. Career Development and Transition for Exceptional Individuals, 40(4), 196-204. https://doi.org/10.1177/2165143416633426 DOI: https://doi.org/10.1177/2165143416633426

Tajik-Parvinchi, D., Wright, L., & Schachar, R. (2014). Cognitive rehabilitation for attention deficit/hyperactivity disorder (ADHD): Promises and problems. Journal of the Canadian Academy of Child and Adolescent Psychiatry, Journal de l'Académie canadienne de psychiatrie de l'enfant et de l'adolescent, 23(3), 207–217.

Thorell, L. B., Lindqvist, S., Bergman Nutley, S., Bohlin, G., & Klingberg, T. (2009). Training and transfer effects of executive functions in preschool children. Dev. Sci. 12, 106–113. https://doi.org/10.1111/j.1467-7687.2008.00745.x DOI: https://doi.org/10.1111/j.1467-7687.2008.00745.x

Usai, M. C., Viterbori, P., Traverso, L., & De Franchis, V. (2014). Latent structure of executive function in five- and six-year-old children: a longitudinal study. Eur. J. De. Psychol. 11, 447–462. https://doi.org/10.1080/17405629.2013.840578 DOI: https://doi.org/10.1080/17405629.2013.840578

Van de Weijer-Bergsma, E., Kroesbergen, E. H., & Van Luit, J. E. H. (2015). Verbal and visual-spatial working memory and mathematical ability in different domains throughout primary school. Mem. Cogn. 43, 367–378. https://doi.org/10.3758/ s13421-014-0480-4 DOI: https://doi.org/10.3758/s13421-014-0480-4

Weyandt, L., DuPaul, G.J., Verdi, G., Rossi, J.S., Swentosky, A.J., Vilardo, B.S., & Carson, K.S. (2013). The performance of college students with and without ADHD: Neuropsychological, academic, and psychosocial functioning. Journal of Psychopathology and Behavioral Assessment, 35, 421–435. DOI: https://doi.org/10.1007/s10862-013-9351-8

Xie, J., Basham, J. D., Marino, M. T., & Rice, M. (2018). Reviewing research on mobile learning for students with and without disabilities in k-12 educational settings. Journal of Special Education Technology, 33. 1647-1664. https://doi.org/10.1177/0162643417732292 DOI: https://doi.org/10.1177/0162643417732292

Downloads

Published

2024-02-01

How to Cite

Drakatos, N., & Drigas, A. (2024). The impact of STEAM education using robotics on the executive function of typical and ADHD students along with developmental exploration. Brazilian Journal of Science, 3(2), 113–122. https://doi.org/10.14295/bjs.v3i2.467