Assessing cognitive flexibility in adaptive learning technologies for special education

Mohmmad Ahmad Saleem Khasawneh

Article ID: 5172
Vol 8, Issue 12, 2024

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Abstract


This study used quantitative methods to examine the correlation between adaptive learning technology and cognitive flexibility in kids receiving special education. The study included a cohort of 120 kids, ages 8–12, who were diagnosed with particular learning difficulties, ADHD, or autism spectrum disorder. Cognitive flexibility was evaluated using the Wisconsin Card Sorting Test (WCST), while the utilization of adaptive learning technologies was quantified using self–report questionnaires. The data was analyzed using several statistical methods, such as independent samples t-tests, regression, Pearson correlation coefficients, ANOVA, and ANCOVA. The findings revealed a noteworthy and favorable correlation between the utilization of adaptive technology and the scores of cognitive flexibilities. This correlation remained significant even after accounting for demographic characteristics. Moreover, it was shown that the diagnostic status had a moderating effect on the correlation between the utilization of adaptive technology and cognitive flexibility. The results emphasize the capacity of adaptive learning technologies to improve cognitive flexibility abilities in kids with special needs, offering significant knowledge for educators, legislators, and technology developers.


Keywords


adaptive learning technologies; cognitive flexibility; special education; students with special needs

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References


Abualrish, M. A., & Khasawneh, M. A. S. (2024). Using Social Media as a Platform of Communication Between School Administration and the Local Communities to Promote Inclusive Education for Children with Special Needs. Studies in Media and Communication, 12(2), 79. https://doi.org/10.11114/smc.v12i2.6560

Aburezeq, I. M., Dweikat, F., Al-Shaar, A. S., Khasawneh, M. A. S. (2022). Case Study on the Dissemination of Radicalism on Social Media Information Sciences Letters, 11(6), 2339–2343. https://doi.org/10.18576/isl/110640

AL Hadhrami, A. S., Raja Al-Amrat, M. G., Khasawneh, M. A. S., et al. (2022). Approach to Improve Reading Skill of Students with Dyslexia. Information Sciences Letters, 11(6), 2333–2338. https://doi.org/10.18576/isl/110639

Alanazi, A. S., Almulla, A. A., & Khasawneh, M. A.S. (2023). Exploring the E-learning supporting systems for students with special needs. Revista de Gestão Social e Ambiental, 17(7), e03917. https://doi.org/10.24857/rgsa.v17n7-023

Alkhasawneh, T., Al-Shaar, A. S., Khasawneh, M., Darawsheh, S. (2022). Self-Esteem and its Relationship to some Demographic Variables among Students with Learning Disabilities. Information Sciences Letters, 11(6), 1929–1936. https://doi.org/10.18576/isl/110609

Alkhazaleh, M., Khasawneh, M. A. S., Alkhazaleh, Z. M. et al. (2022). An Approach to Assist Dyslexia in Reading Issue: An Experimental Study. Social Space, 22(3), 133-151.‏

Almulla, A. A., & Khasawneh, M. A. S. (2024). The Role of Libraries in Raising the Efficiency of Students with Special Needs in Academic Performance from The Point of View of Teachers. Revista de Gestão Social e Ambiental, 18(2), e04865. https://doi.org/10.24857/rgsa.v18n2-056

Alomari, M. A., Alqudah, R. A., Al Rub, M. O. A. (2023). The Role of Media in Educational Social Construction of Children with Special Needs Information Sciences Letters, 12(7), 2933–2940. https://doi.org/10.18576/isl/120720

Alomari, M. A., Daradkah, S. A., Al Rub, M. O. A. et al. (2023). Utilization of Multimedia Services in Libraries for Students with Disabilities. Information Sciences Letters, 12(7), 2891–2897. https://doi.org/10.18576/isl/120717

Alqudah, H., Mohammad, F. S. S. A., Khasawneh, Y. J. A., et al. (2024). Assessing the influence of parental involvement on the effectiveness of gamified early childhood education in Jordan. International Journal of Data and Network Science, 8(3), 1977–1984. https://doi.org/10.5267/j.ijdns.2024.1.015

Alrishan, A. M. A. Alwaely, H., S., Alshammari, A. K. et al. (2023). The Impact of the Teacher’s Personality on the Motivation of Learning the English Language Among Governmental School Students in Saudi Arabia. Information Sciences Letters, 12(3), 1223–1230. https://doi.org/10.18576/isl/120313

Al-Rousan, A. H., Ayasrah, M. N., Khasawneh, M. A. S (2023). Psychological Stability and its Relationship to Academic Performance Among Secondary School Students. Information Sciences Letters, 12(3), 1469–1478. https://doi.org/10.18576/isl/120335

Al–Sabi, Y. N., Jaradat, S. A., Ayasrah, M. N., Khasawneh, M. A. S. (2022). Shyness and its Relation with Self-esteem in Light of Some Variables. Information Sciences Letters, 11(6), 2345–2352. https://doi.org/10.18576/isl/110641

Alsarhan, K. E., Salaemh, S. A., Khasawneh, A. J, et al. (2023). Aspects of the Ayyubids Patronage of Jerusalem 583 AH/ 1187 AD - 658 AH/ 1260 AD. Information Sciences Letters, 12(6), 2699–2706. https://doi.org/10.18576/isl/120640

Alsrehan, H., Alhrahsheh, R., AlOdwan, S. S., et al. (2024). Virtual reality socialization groups on Facebook: A new frontier for children with social anxiety disorder. International Journal of Data and Network Science, 8(2), 1229–1236. https://doi.org/10.5267/j.ijdns.2023.11.011

Alwaely, S. A., Almousa, N. A., Helali, M. M., et al. (2024). Teacher-student rapport and gamified learning: Investigating the role of interpersonal variables in classroom integration. International Journal of Data and Network Science, 8(2), 1319–1324. https://doi.org/10.5267/j.ijdns.2023.11.003

Alwaely, S. A., El-Zeiny, M. E., Alqudah, H., et al. (2023). The Impact of Teacher Evaluation on Professional Development and Student Achievement. Revista de Gestão Social e Ambiental, 17(7), e03484. https://doi.org/10.24857/rgsa.v17n7-022

Badilla-Quintana, M. G., Sepulveda-Valenzuela, E., & Salazar Arias, M. (2020). Augmented Reality as a Sustainable Technology to Improve Academic Achievement in Students with and without Special Educational Needs. Sustainability, 12(19), 8116. https://doi.org/10.3390/su12198116

Bandura, A. (1989). Human agency in social cognitive theory. American Psychologist, 44(9), 1175–1184. https://doi.org/10.1037/0003-066x.44.9.1175

Baniawwad, A. H., Tarif, L. I. B., Rady, Y., et al. (2024). Influence of Assistive Technology Training on Educators Performance in Saudi Special Education: With the Mediating Role of Educators Knowledge and Educators Self-Efficacy. Eurasian Journal of Educational Research, 110(110), 1-17.‏

Bernius, J. P., Krusche, S., & Bruegge, B. (2022). Machine learning based feedback on textual student answers in large courses. Computers and Education: Artificial Intelligence, 3, 100081. https://doi.org/10.1016/j.caeai.2022.100081

Chatzara, K., Karagiannidis, C., & Stamatis, D. (2014). Cognitive support embedded in self-regulated e-learning systems for students with special learning needs. Education and Information Technologies, 21(2), 283–299. https://doi.org/10.1007/s10639-014-9320-1

Chen, X., Zou, D., Cheng, G., et al. (2022). Blockchain in smart education: Contributors, collaborations, applications and research topics. Education and Information Technologies, 28(4), 4597–4627. https://doi.org/10.1007/s10639-022-11399-5

Clerc, J., Leclercq, M., Paik, J., et al. (2021). Cognitive flexibility and strategy training allow young children to overcome transfer-Utilization Deficiencies. Cognitive Development, 57, 100997. https://doi.org/10.1016/j.cogdev.2020.100997

Darawsheh, S. R., Asha, I. K. K., AbuSaif, R., et al. (2023). An outline of the professional quality of teachers who teach children with special needs. Journal of Education and E-Learning Research, 10(3), 358–363. https://doi.org/10.20448/jeelr.v10i3.4711

Dorfman, L. Ya., & Kalugin, A. Yu. (2020). Resources, Potentials and Academic Achievements of Students. Part 2. From Differentiation to Integration of Resources, Potentials and Academic Achievements of Students. The Education and Science Journal, 22(5), 90–110. https://doi.org/10.17853/1994-5639-2020-5-90-110

Dougnon, G., & Matsui, H. (2022). Modelling Autism Spectrum Disorder (ASD) and Attention-Deficit/Hyperactivity Disorder (ADHD) Using Mice and Zebrafish. International Journal of Molecular Sciences, 23(14), 7550. https://doi.org/10.3390/ijms23147550

Elsharkasy, A. (2023). Emotional Intelligence for English Students with Learning Disabilities in Light of Some Variables Information Sciences Letters, 12(3), 1373–1384. https://doi.org/10.18576/isl/120327

Groom, M. J., Kochhar, P., Hamilton, A., et al. (2017). Atypical Processing of Gaze Cues and Faces Explains Comorbidity between Autism Spectrum Disorder (ASD) and Attention Deficit/Hyperactivity Disorder (ADHD). Journal of Autism and Developmental Disorders, 47(5), 1496–1509. https://doi.org/10.1007/s10803-017-3078-4

Hampton, L. H., & Chow, J. C. (2021). Deeply Tailoring Adaptive Interventions: Enhancing Knowledge Generation of SMARTs in Special Education. Remedial and Special Education, 43(3), 195–205. https://doi.org/10.1177/07419325211030669

Holzweiss, P., & Walker, D. (2016). Ethics in Higher Education: Using Collective Experiences to Enhance New Professional Training. Journal of Student Affairs Research and Practice, 53(4), 429–443. https://doi.org/10.1080/19496591.2016.1202836

Horowitz-Kraus, T. (2013). Differential Effect of Cognitive Training on Executive Functions and Reading Abilities in Children with ADHD and in Children with ADHD Comorbid with Reading Difficulties. Journal of Attention Disorders, 19(6), 515–526. https://doi.org/10.1177/1087054713502079

Interpersonal Communication Model for Children with Special Needs. (2023). Information Sciences Letters, 12(6), 2469–2474. https://doi.org/10.18576/isl/120623

Jarrah, H. Y., Bilal, D. A., Halim, M., et al. (2024). The impact of storytelling and narrative variables on skill acquisition in gamified learning. International Journal of Data and Network Science, 8(2), 1161–1168. https://doi.org/10.5267/j.ijdns.2023.11.018

Johnson, N. F. (2019). Temporal digital control: Theorizing the use of digital technologies to provide a temporal autonomous space. Time & Society, 29(3), 794–812. https://doi.org/10.1177/0961463x19886739

Kharkhurin, A. V. (2017). Language Mediated Concept Activation in Bilingual Memory Facilitates Cognitive Flexibility. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.01067

Khasawneh, Dr. Y. J. A., & Khasawneh, Dr. M. A. S. (2023). Availability of Voice-Recognition Devices to Support Visually Impaired Students in Saudi Arabian Universities. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 14(3), 186–193. https://doi.org/10.58346/jowua.2023.i3.014

Khasawneh, M. (2023). Social Attitude of Children with Special Needs in The Learning Process. Medical Archives, 77(2), 149. https://doi.org/10.5455/medarh.2023.77.149-153

Khasawneh, M. A. S. (2024). The Efficacy of a Programme Utilizing Digital Learning Technology in Fostering the Life Skills of Students with Learning Disabilities. International Journal of Learning, Teaching and Educational Research, 23(4), 18–33. https://doi.org/10.26803/ijlter.23.4.2

Kumar, V., & Upadhyay, R. (2021). Reflection and data based adaptive teaching strategy for student centric learning. Academia Letters. https://doi.org/10.20935/al4135

Lajoie, S. P., & Gube, M. (2018). Adaptive expertise in medical education: Accelerating learning trajectories by fostering self-regulated learning. Medical Teacher, 40(8), 809–812. https://doi.org/10.1080/0142159x.2018.1485886

Luoma, J. B., & Vilardaga, J. P. (2013). Improving Therapist Psychological Flexibility While Training Acceptance and Commitment Therapy: A Pilot Study. Cognitive Behaviour Therapy, 42(1), 1–8. https://doi.org/10.1080/16506073.2012.701662

Mansour, A., Harahsheh, F., Wazani, K. W., et al. (2024). The influence of social media, big data, and data mining on the evolution of organizational behavior: Empirical study in Jordanian telecommunication sector. International Journal of Data and Network Science, 8(3), 1929–1940. https://doi.org/10.5267/j.ijdns.2024.1.020

McCormick, E. M., & Telzer, E. H. (2017, March 1). Adaptive Adolescent Flexibility: Neurodevelopment of Decision-making and Learning in a Risky Context. Journal of Cognitive Neuroscience, 29(3), 413-423. https://doi.org/10.1162/jocn_a_01061

Mennetrey, C., & Angeard, N. (2018). Cognitive flexibility training in three-year-old children. Cognitive Development, 48, 125–134. https://doi.org/10.1016/j.cogdev.2018.08.004

Mutual Relationships: Saudi Universities and The Private Sector for Economic Developmen. (2023). Information Sciences Letters, 12(8), 2643–2652. https://doi.org/10.18576/isl/120818

Nser, K. K., Alhrahsheh, R., Alshalabi, N., et al. (2024). Multimodal Social Network Analysis: Exploring Language, Visual, and Audio Data in Online Communities. Studies in Media and Communication, 12(2), 148. https://doi.org/10.11114/smc.v12i2.6666

Numan Al Sabi, Y., Abdulwahab Jaradat, S., Saleem Al Taqatqa, F. A., et al. (2022). Using Social Media Network by Special Education Teachers. International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE), 10(2), 39–50. https://doi.org/10.23947/2334-8496-2022-10-2-39-50

Ozturk, Y. (2022). Parent Rated Bedtime Resistance and Comorbidity May Predict Levels of Attention Among Turkish Children Diagnosed with ADHD in On-Line Education Classes During the COVID-19. Northern Clinics of Istanbul. https://doi.org/10.14744/nci.2022.77674

Paphiti, M., & Eggers, K. (2022). Cognitive flexibility in younger and older children who stutter. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1017319

Peñarrubia, M., Navarro-Soria, I., Palacios, J., et al. (2021). ADHD Symptomatology, Executive Function and Cognitive Performance Differences between Family Foster Care and Control Group in ADHD-Diagnosed Children. Children, 8(5), 405. https://doi.org/10.3390/children8050405

Popham, M., Counts, J., Ryan, J. B., et al. (2018). A systematic review of self‐regulation strategies to improve academic outcomes of students with EBD. Journal of Research in Special Educational Needs, 18(4), 239–253. Portico. https://doi.org/10.1111/1471-3802.12408

Rane, N., Choudhary, S., & Rane, J. (2023). Education 4.0 and 5.0: Integrating Artificial Intelligence (AI) for Personalized and Adaptive Learning. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4638365

Saarivirta, T., & Karppinen, J. (2016). Higher Education Policy and Flexibility in University Studies - Student Experiences with Electronic Exams in Finland. Educational Practice and Theory, 38(1), 57–69. https://doi.org/10.7459/ept/38.1.05

Sahni, J. (2023). Is Learning Analytics the Future of Online Education? International Journal of Emerging Technologies in Learning (IJET), 18(02), 33–49. https://doi.org/10.3991/ijet.v18i02.32167

Saleem Khasawneh, M. A. (2024). The Level of Availability of Environmental Facilities in Public Schools and Their Role in the Academic Performance of Students with Disabilities. Journal of Educational and Social Research, 14(3), 124. https://doi.org/10.36941/jesr-2024-0061

Salman, O. K., Khasawneh, Y. J. A., Alqudah, H., et al. (2024). Tailoring gamification to individual learners: A study on personalization variables for skill enhancement. International Journal of Data and Network Science, 8(2), 789–796. https://doi.org/10.5267/j.ijdns.2023.12.025

Saputra, M. A. (2020). A Comparison on Motivation in Learning English between Who Taught by Using Picture Stories and Who Taught by Using Conventional Technique of the Second Year Students’ of Madrasah Tsanawiyah Darul Hikmah Pekanbaru. SALEE: Study of Applied Linguistics and English Education, 1(01), 39–50. https://doi.org/10.35961/salee.v1i01.76

Schubert, A.-L., Ferreira, M. B., Mata, A., et al. (2021). A diffusion model analysis of belief bias: Different cognitive mechanisms explain how cognitive abilities and thinking styles contribute to conflict resolution in reasoning. Cognition, 211, 104629. https://doi.org/10.1016/j.cognition.2021.104629

Tang, J. (2023). Artificial intelligence-based needs analysis for english specific purposes in digital environment. Learning and Motivation, 83, 101914. https://doi.org/10.1016/j.lmot.2023.101914

Tuttle, M., & Carter, E. W. (2023). Assistive Technology Use Among Students with Visual Impairments in Academic Classes. Journal of Special Education Technology. https://doi.org/10.1177/01626434231217050

Vitiello, V. E., Greenfield, D. B., Munis, P., et al. (2011). Cognitive Flexibility, Approaches to Learning, and Academic School Readiness in Head Start Preschool Children. Early Education and Development, 22(3), 388–410. https://doi.org/10.1080/10409289.2011.538366

Vygotsky, L. S. (1978). The prehistory of written discourse (French). Social Science Information, 17(1), 1–17. https://doi.org/10.1177/053901847801700101

Wafa'A, H., & Khasawneh, M. A. S. (2024). The Correlation Between the Use of YouTube Short Videos to Enhance Foreign Language Reading and Writing Proficiency, and the Academic Performance of Undergraduates. Eurasian Journal of Educational Research, 109(109), 1-13.‏

Watkins, T. (2023). The Relationship between Reading Vocabulary and Reading Comprehension in a Direct Instruction Reading Program. Advances in Social Sciences Research Journal, 9(12), 517–535. https://doi.org/10.14738/assrj.912.13683

Weymeis, H., Van Leeuwen, K., & Braet, C. (2017). Adaptive emotion regulation, academic performance and internalising problems in Flemish children with special educational needs: a pilot study. European Journal of Special Needs Education, 34(1), 124–135. https://doi.org/10.1080/08856257.2017.1421601

Wiers, R. W. (2018). Cognitive Training in Addiction: Does It Have Clinical Potential? Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3(2), 101–102. https://doi.org/10.1016/j.bpsc.2017.12.008

Young, S., & Cocallis, K. (2023). A Systematic Review of the Relationship Between Neurodiversity and Psychosexual Functioning in Individuals with Autism Spectrum Disorder (ASD) or Attention-Deficit/Hyperactivity Disorder (ADHD). Neuropsychiatric Disease and Treatment, Volume 19, 1379–1395. https://doi.org/10.2147/ndt.s319980

Zaghlool, Z. D. M., & Khasawneh, M. A. S. (2023). Aligning Translation Curricula with Technological Advancements; Insights from Artificial Intelligence Researchers and Language Educators. Studies in Media and Communication, 12(1), 58. https://doi.org/10.11114/smc.v12i1.6378




DOI: https://doi.org/10.24294/jipd.v8i12.5172

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