Corona virus (COVID- 19) and education for all achievement: artificial intelligence and special education needs- achievements and challenges

Abstract

The shortage of well-trained teachers especially in special education is a serious problem worldwide. To attain education for all as enshrined in the Sustainable Development Goals (SDGs), there is urgent need for robot ways of solving this problem with grave consequences for the future of children with disabilities and special education needs. Thus, education delivery methods like other services need to be innovative. The purpose of this studi is to examine the achievements and challenges in the application of AI for teaching children with special education needs. This research used the literature review method. The result of this study shows that AI has the power to enhance learning for children with special needs while curbing some of the problems such children are encountering in accessing quality and relevant education. In conclusion the findings revealed some significant achievements and the possibilities of more if the appropriate technologies are applied consistently with the right environment both in schools and homes.

Keywords
  • Key words
  • Education for All
  • children with disabilities
  • Artificial Intelligence
  • special education needs
  • achievements
  • challenges
  • Covid-19
How to Cite
Bah, Y. M., & Artaria, M. D. (2020). Corona virus (COVID- 19) and education for all achievement: artificial intelligence and special education needs- achievements and challenges. COUNS-EDU: The International Journal of Counseling and Education, 5(2), 64–70. https://doi.org/10.23916/0020200528630
References
  1. Adebisi R.O. et al., (2015). Using Assistive Technology in Teaching Children with Learning Disabilities in the 21st Century. Available at: https://files.eric.ed.gov/fulltext/EJ1078825.pdf
  2. Almokaramah M. et al. (2013). Diagnosing Learning Disabilities in a Special Education by an Intelligent Agent Based System. Available at: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.299.6109&rep=rep1&type=pdf
  3. Bosede I.E. et al., (2017). Why not Robot Teachers: Artificial Intelligence for Addressing Teacher Shortage. Available at: file:///C:/Users/UTG-202/AppData/Local/Temp/preprints201712.0022.v1.pdf
  4. Bryant & Bryant (1998). Using Assistive Technology to Enhance the Skills of Students with Learning Disabilities. Available at: https://journals.sagepub.com/doi/abs/10.1177/105345129803400109
  5. Burgstahler( 2003). The Role of Technology in Preparing Youth with Disabilities for Postsecondary Education and Employment. Availabe at: https://journals.sagepub.com/doi/10.1177/016264340301800401
  6. Chassignola M. et al. (2018). Artificial Intelligence trends in education: a narrative overview. Available at: https://pdf.sciencedirectassets.com/280203/1-s2.0-S1877050918X00131/1-s2.0-S1877050918315382/main.pdf?X-Amz-Security-
  7. Dickstein-Fischer L.A. et al., (2017). Socially assistive robots: current status and future prospects for autism interventions. Available at: https://www.dovepress.com/socially-assistive-robots-current-status-and-future-prospects-for-auti-peer-reviewed-fulltext-article-IEH#
  8. Drigas A. et al. (2012). Artificial intelligence in special education: A decade review. International Journal of Engineering Education. Available at: file:///C:/Users/UTG-202/AppData/Local/Temp/ijeeAISPECIALEDU.pdf
  9. Drigas A. et al., (2013). A Review on Artificial Intelligence in Special Education. Communications in Computer and Information Science. 278. 385–391. 10.1007/978-3-642-35879-1_46. Available at: file:///C:/Users/UTG-202/AppData/Local/Temp/chp3A10.10072F978-3-642-35879-1_46.pdf
  10. Eleyan et al. (2011). Coaching, Tutoring and Mentoring in the Higher Education as a solution ‎to retain students in their major and help them achieve success. Available at: https://www.researchgate.net/publication/302596700_Coaching_Tutoring_and_Mentoring_in_the_Higher_Education_as_a_solution_to_retain_students_in_their_major_and_help_them_achieve_success
  11. Emst E. et al., (2019). Economics of Artificial Intelligence: Implications for the Future of Work. Available at: https://content.sciendo.com/configurable/contentpage/journals$002fizajolp$002f9$002f1$002farticle-20190004.xml
  12. Graetz K.A. (n.d.). Chapter 6. The Psychology of Learning Environments. Available at: https://www.educause.edu/research-and-publications/books/learning-spaces/chapter-6-psychology-learning-environments
  13. Guyana Ministry of Education (n.d.). Roles of a Techer in the Classroom. Available at: https://www.education.gov.gy/web/index.php/teachers/tips-for-teaching/item/1603-roles-of-a-teacher-in-the-classroom
  14. Ilkka T. (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education: Policies for the Future. 10.2760/12297. Available at: https://www.researchgate.net/publication/329544152_The_Impact_of_Artificial_Intelligence_on_Learning_Teaching_and_Education_Policies_for_the_Future
  15. Johnson J. (2003). Children, robotics, and education. Artificial Life and Robotics. 7. 16-21. 10.1007/BF02480880. Available at: https://www.researchgate.net/publication/226696409_Children_robotics_and_education
  16. Kapur R. (2019). Development of Teaching-Learning Materials. Available at: https://www.researchgate.net/publication/334083571_Development_of_Teaching-Learning_Materials
  17. Keiler L.S. (2018). Teachers’ roles and identities in student-centered classrooms. https://doi.org/10.1186/s40594-018-0131-6. Available at:
  18. https://stemeducationjournal.springeropen.com/articles/10.1186/s40594-018-0131-6
  19. Mohammed P.S. et al. (n.d.). Towards Inclusive Education in the Age of Artificial Intelligence: Perspectives, Challenges, and Opportunities. Available at: https://static1.squarespace.com/static/52d6e9eee4b0201eed8b8bef/t/5c70303224a6940d620dac69/1550856244761/Towards+Inclusive+Education+in+the+Age+of+Artificial+Intelligence-+Perspectives%2C+Challenges%2C+and+Opportunities+%E2%80%93+Phaedra+S.+Mohammed+and+Nell+Watson.pdf
  20. National Academy of Sciences (2019). Artificial Intelligence in Health Care:
  21. The Hope, the Hype,
  22. the Promise, the Peril
  23. Pholphirul P. et al., (2014). IT investment and constraints in developing countries: Evidence from Thai manufacturers. Available at: https://journals.sagepub.com/doi/10.1177/0266666914535616
  24. Pomsta K. P. et al., (2018). Blending Human and Artificial Intelligence to Support Autistic Children’s Social Communication Skills. Available at: https://dl.acm.org/doi/10.1145/3271484
  25. Popenici S. et al. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and practice in technology enhanced learning, 12(1), 22. https://doi.org/10.1186/s41039-017-0062-8 Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294271/pdf/41039_2017_Article_62.pdf
  26. Quenneville, J. (2002). Tech Tools for Students with Learning Disabilities: Infusion into Inclusive Classrooms. Preventing School Failure. 45. 167-170. 10.1080/10459880109603332. Available at: https://www.researchgate.net/publication/247524461_Tech_Tools_for_Students_with_Learning_Disabilities_Infusion_into_Inclusive_Classrooms
  27. Tucker E.A. (2016). Artificial Intelligence and Disability: An Academic Study of AI Use in The Classroom for Students with Disabilities. Available at: https://www.elijahatucker.me/projects/Tucker_Elijah_Thesis.pdf
  28. Valiente, C. et al., (2012). Linking Students' Emotions and Academic Achievement: When and Why Emotions Matter. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3482624/
  29. Wright C.M. (2016). Teacher Perceived Barriers to Inclusive Instructional Delivery
  30. Approaches.