Special Education Teachers' Perceptions of Using Artificial Intelligence in Educating Students with Disabilities
DOI:
https://doi.org/10.6000/2292-2598.2024.12.02.5Keywords:
Artificial intelligence, special education teachers, perception, students with disabilitiesAbstract
Background: Artificial intelligence technologies improve the learning environment; in the near future, they are expected to provide great benefits for students and teachers, in general, and for those with disabilities and their teachers, in particular.
Objective: This research has aimed at identifying the perceptions of special education teachers about the use of artificial intelligence in teaching students with disabilities as well as identifying the impact of some variables, such as the number of years of experience, disability category, or the school stage, on these perceptions.
Methods and Participants: The research was based on the descriptive approach. The research sample consists of 301 male and female teachers of students with disabilities from Riyadh, Kingdom of Saudi Arabia. It includes 138 males and 163 females, divided into a group of special education programs. The research used a questionnaire on the perceptions of special education teachers about the use of artificial intelligence in educating students with disabilities.
Results: The research findings showed that these teachers' perceptions were mostly neutral, that there are differences in their perceptions due to the number of years of experience, and that there are no differences in their perceptions due to the disability category or school stage variable.
Conclusions: As artificial intelligence is considered one of the modern variables in the field of education for people with disabilities in the Arab environment, it is expected to support personal education, assistive technologies, data-based decision-making when teaching people with disabilities, and promoting inclusion. The research also presented a questionnaire identifying special education teachers' perceptions of artificial intelligence.
References
Wartman SA, Combs CD. Medical education must move from the information age to the age of artificial intelligence. Acad Med 2018; 93(8): 1107-9. https://doi.org/10.1097/ACM.0000000000002044
Russel S, Norvig P. Artificial intelligence: a Modern approach. 4th ed. Prentice Hall; 2021.
García-Martínez I, Fernández-Batanero JM, Fernández-Cerero J, León SP. Analyzing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysis. J Approaches Educ Res 2023; 12(1): 171-97. https://doi.org/10.7821/naer.2023.1.1240
Bhutoria A. Personalized education and artificial intelligence in United States, China, and India: A systematic review using a Human-In-The-Loop model. Computers and Education: Artificial Intelligence 2022; 3(100068): 100068. https://doi.org/10.1016/j.caeai.2022.100068
Chen L, Chen P, Lin Z. Artificial intelligence in education: a Review. IEEE Access 2020; 8: 75264-78. https://doi.org/10.1109/ACCESS.2020.2988510
Ramani P. Artificial intelligence in higher education and changing roles of educators. World J Educ Rese 2022; 9(2): 56-67. https://doi.org/10.22158/wjer.v9n2p56
Ibrahim H, Liu F, Asim R, Battu B, Benabderrahmane S, Alhafni B, et al. Perception, performance, and detectability of conversational artificial intelligence across 32 university courses. Semantic Scholar 2023 [cited 2023 Oct 19]. https://doi.org/10.1038/s41598-023-43998-8
Kaya N, Bulut S. Artificial intelligence and education: An Overview. Psychol Psychol Rese Int J 2022; 7(3): 1-7. https://doi.org/10.23880/PPRIJ-16000303
Drigas AS, Rodi-Eleni I. Artificial intelligence in special education: a decade rev 2012; 28(6): 1366-72.
Drigas AS, Ioannidou R E. A review on artificial intelligence in special education. Information Systems, E-learning, and Knowledge Management Research: 4th World Summit on the Knowledge Society, WSKS 2011, Mykonos, Greece, September 21-23, 2011. Revised Selected Papers 2013; 4: 385-391. https://doi.org/10.1007/978-3-642-35879-1_46
Asthana P, Gupta VK. Role of artificial intelligence in dealing with emotional and behavioral Disorders. Int J Manag IT Engi 2019; 5(1): 398-403.
Garg S, Sharma S. Impact of artificial intelligence in special need education to promote inclusive pedagogy. Int J Info Educ Tech 2020; 10(7): 523-7. https://doi.org/10.18178/ijiet.2020.10.7.1418
Tiwary Ojha, S. Artificial intelligence in special education, Id& Cp. J Positive Sch Psych 2022; (6): 8341-8345. https://journalppw.com/index.php/jpsp/article/view/9109
Barua PD, Vicnesh J, Gururajan R, Oh SL, Palmer E, Azizan MM, et al. Artificial intelligence-enabled personalized Assistive tools to enhance the education of children with neurodevelopmental disorders—A Review. Int J Envi Rese Public Health 2022; 19(3): 1192. https://doi.org/10.3390/ijerph19031192
Hughes CE, Dieker LA, Glavey EM, Hines RA, Wilkins I, Ingraham K, et al. RAISE: Robotics and AI to improve STEM and social skills for elementary school students. Front Virtual Real 2022; 14; 3. https://doi.org/10.3389/frvir.2022.968312
Devi D, Rroy A D. Role of artificial intelligence (AI) in sustainable education of higher education institutions in Guwahati City: Teacher's perception. Inte Manag Rev 2023; 19: 111-116.
Knox J, Wang Y, Gallagher M. Introduction: AI, inclusion, and everyone learning everything. In Jeremy Knox, Yuchen wang, Michael Gallagher (Eds.), Artificial Intelligence and Inclusive Education speculative Futures and Emerging Practices. Springer Publishers 2019; pp. 1-13. https://doi.org/10.1007/978-981-13-8161-4_1
Kazimzade G, Patzer Y, Pinkwart N. Artificial intelligence in education meets inclusive educational technology-the technical state-of-the-art and Possible directions. In Jeremy Knox, Yuchen wang, Michael Gallagher (Eds.), Artificial intelligence and inclusive education speculative Futures and emerging practices. Springer Publishers 2019; pp. 61-73. https://doi.org/10.1007/978-981-13-8161-4_4
Mohammed P, Watson E. Towards inclusive education in the age of artificial intelligence: perspectives, challenges, and opportunities. In Jeremy Knox, Yuchen wang, Michael Gallagher (Eds.), Artificial Intelligence and Inclusive Education speculative Futures and Emerging Practices. Springer Publishers 2019; pp. 17-37. https://doi.org/10.1007/978-981-13-8161-4_2
Celik I, Dindar M, Muukkonen H, Järvelä S. The Promises and challenges of artificial intelligence for teachers: a Systematic Review of Research. Tech Trends 2022; 66(4): 616-30. https://doi.org/10.1007/s11528-022-00715-y
Srinivasan V. AI and learning: A preferred future. Computers and Education: Artificial Intelligence 2022; 100062. https://doi.org/10.1016/j.caeai.2022.100062
Sangapu I. Artificial intelligence in education - from a teacher and a student perspective. Elec J 2018; 1-20. https://doi.org/10.2139/ssrn.3372914
Gocen A, Aydemir F. Artificial Intelligence in Education and Schools. Res Educ Media 2021; 12(1): 13-21. https://doi.org/10.2478/rem-2020-0003
Nordin MN, Mustafa MZ, Mosbiran NF. The application of artificial intelligence in Android mobile Learning for the Special Education Students 2023 International Conference on Artificial Intelligence and smart communication (AISC), artificial intelligence and smart communication (AISC), 2023 International Conference on 2023; 27 [cited 2023 Aug 16]; 806-11. Available from: https://eds.s.ebscohost.com/eds/ detail/detail?vid=0&sid=83a611c3-77b6-4f6b-80e2-8ecab0f489bd%40redis&bdata=JkF1dGhUeXBlPXNoaWImc2l0ZT1lZHMtbGl2ZQ%3d%3d#AN=edseee.10085531&db=edseee
Lin H. Influences of artificial intelligence in education on teaching effectiveness. Int J Emerging Tech Lear (iJET) 2022; 17(24): 144-56. https://doi.org/10.3991/ijet.v17i24.36037
Zhang C, Schießl J, Plößl L, Hofmann F, Gläser‐Zikuda M. Acceptance of artificial intelligence among pre-service teachers: a multigroup analysis. Inte J Educ Tech Hig Educ 2023; 20(1): 20-49. https://doi.org/10.1186/s41239-023-00420-7
Kim NJ, Kim MK. Teacher’s Perceptions of using an artificial intelligence-based educational tool for scientific writing. Fron in Educ 2022; 29: 7. https://doi.org/10.3389/feduc.2022.755914
DEMİR K, GÜRAKSIN GE. Determining middle school students’ perceptions of the concept of artificial intelligence: A metaphor analysis. Participatory Edu Res 2022; 9(2): 297-312. https://doi.org/10.17275/per.22.41.9.2
Kim J, Merrill K, Xu K, Sellnow DD. My teacher is a machine: Understanding students’ perceptions of AI teaching assistants in online education. Int J Human-Comp Interaction 2020; 36(20): 1902-11. https://doi.org/10.1080/10447318.2020.1801227
Chan CKY, Zhou W. Deconstructing student perceptions of generative AI (GenAI) through an Expectancy Value Theory (EVT)-based Instrument [Internet]. arXiv.org 2023. https://doi.org/10.48550/arXiv.2305.01186
Alghamdi S, Alfarani L. The reality of using artificial intelligence applications in special education schools in Jeddah from the point of view of female teachers and the direction towards it. InterJ Educ Psycho Stud 2020; 8(1): 54-76. https://doi.org/10.31559/EPS2020.8.1.4
Reema A A. Teachers and students’ Perceptions on the impact of artificial intelligence on English language learning in Saudi Arabia.JAppl Linguist Lang Res 2021; 8(1): 36-47.
AlshehriB. Teacher’s directions towards employing artificial intelligence applications in confronting learning disabilities in Asir Regio, KSA. Read Know J 2023; 23(263): 357-398. https://doi.org/10.21608/mrk.2023.309389
Haseski HI. What do Turkish Pre-Service teachers think about artificial intelligence? Int J Comp Sci Educ Sch 2019; 3(2): 3-23 https://doi.org/10.21585/ijcses.v3i2.55
Hopcan S, Polat E, Ozturk ME, Ozturk L. Artificial intelligence in special education: a systematic review. Interactive Lear Envr 2022; 31(10): 1-19. https://doi.org/10.1080/10494820.2022.2067186
Schepman A, Rodway P. Initial validation of the general attitudes towards the Artificial Intelligence Scale. Comp Human Beh Rep 2020; 1: 100014. https://doi.org/10.1016/j.chbr.2020.100014
Lezhnina O, Kismihók G. A multi-method psychometric assessment of the affinity for technology interaction (ATI) scale. Comp Human Beh Rep 2020; 1: 100004. https://doi.org/10.1016/j.chbr.2020.100004
Franke T, Attig C, Wessel D. A Personal resource for technology interaction: Development and validation of the affinity for technology interaction (ATI) Scale. Inte J Human-Comp Interaction 2018; 35(6): 456-67. https://doi.org/10.1080/10447318.2018.1456150
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