Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review
Open accessAbstract
Mental disorders (MDs) with onset in childhood or adolescence include neurodevelopmental disorders (NDDs) (intellectual disability and specific learning disabilities, such as dyslexia, attention deficit disorder (ADHD), and autism spectrum disorders (ASD)), as well as a broad range of mental health disorders (MHDs), including anxiety, depressive, stress-related and psychotic disorders. There is a high co-morbidity of NDDs and MHDs. Globally, there have been dramatic increases in the diagnosis of childhood-onset mental disorders, with a 2- to 3-fold rise in prevalence for several MHDs in the US over the past 20 years. Depending on the type of MD, children often grapple with social and communication deficits and difficulties adapting to changes in their environment, which can impact their ability to learn effectively. To improve outcomes for children, it is important to provide timely and effective interventions. This review summarises the range and effectiveness of AI-assisted tools, developed using machine learning models, which have been applied to address learning challenges in students with a range of NDDs. Our review summarises the evidence that AI tools can be successfully used to improve social interaction and supportive education. Based on the limitations of existing AI tools, we provide recommendations for the development of future AI tools with a focus on providing personalised learning for individuals with NDDs.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
AI can be used to support students with disabilities in a variety of ways.
“Artificial intelligence can be used to support students with disabilities in a variety of ways (Barua et al., 2022).”
From The Future of Artificial Intelligence in Special Education Technology (2023) · cites this paper as Barua et al., 2022
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318 · see citing works
Reducing the dimensionality of data with neural networks
Hinton, G. E., & Salakhutdinov, R. R. (2006) · Science · doi:10.1126/science.1127647 · Cited by 20,928 · see citing works
Child and adolescent mental health worldwide: evidence for action
Kieling, C., Baker-Henningham, H., Belfer, M., Conti, G., Ertem, I., Omigbodun, O., Rohde, L. A., Srinath, S., Ulkuer, N., & Rahman, A. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60827-1 · Cited by 2,449 · see citing works
Danielson, M. L., Bitsko, R. H., Ghandour, R. M., Holbrook, J. R., Kogan, M. D., & Blumberg, S. J. (2018) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2017.1417860 · Cited by 1,181 · see citing works
Loss of mTOR-Dependent Macroautophagy Causes Autistic-like Synaptic Pruning Deficits
Tang, G., Gudsnuk, K., Kuo, S.-H., Cotrina, M. L., Rosoklija, G., Sosunov, A., Sonders, M. S., Kanter, E., Castagna, C., Yamamoto, A., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.07.040 · Cited by 1,146 · see citing works
Encyclopedia of Quality of Life and Well-Being Research
Michalos, A. C. (2014) · Springer eBooks · doi:10.1007/978-94-007-0753-5 · Cited by 1,130 · see citing works
BIEDERMAN, J., MONUTEAUX, M. C., MICK, E., SPENCER, T., WILENS, T. E., SILVA, J. M., SNYDER, L. E., & FARAONE, S. V. (2006) · Psychological Medicine · doi:10.1017/s0033291705006410 · Cited by 850 · see citing works
Conceptual Understanding of Convolutional Neural Network- A Deep Learning Approach
Indolia, S., Goswami, A. K., Mishra, S., & Asopa, P. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.05.069 · Cited by 785 · see citing works
Linnet, K. M., Dalsgaard, S., Obel, C., Wisborg, K., Henriksen, T. B., Rodriguez, A., Kotimaa, A., Moilanen, I., Thomsen, P. H., Olsen, J., et al. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.6.1028 · Cited by 778 · see citing works
Automated EEG-based screening of depression using deep convolutional neural network
Acharya, U. R., Oh, S. L., Hagiwara, Y., Tan, J. H., Adeli, H., & Subha, D. P. (2018) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2018.04.012 · Cited by 650 · see citing works
Self-citationComorbidity of LD and ADHD: Implications of <i>DSM-5</i> for Assessment and Treatment
DuPaul, G. J., Gormley, M. J., & Laracy, S. D. (2013) · Journal of Learning Disabilities · doi:10.1177/0022219412464351 · Cited by 451 · see citing works
Jensen, C. M., & Steinhausen, H.-C. (2015) · ADHD Attention Deficit and Hyperactivity Disorders · doi:10.1007/s12402-014-0142-1 · Cited by 402 · see citing works
Mattila, M., Hurtig, T. M., Haapsamo, H., Jussila, K. K., Kuusikko‐Gauffin, S., Kielinen, M., Linna, S., Ebeling, H. E., Bloigu, R., Joskitt, L., et al. (2010) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-010-0958-2 · Cited by 392 · see citing works
Nepon, J., Belik, S.-L., Bolton, J., & Sareen, J. (2010) · Depression and Anxiety · doi:10.1002/da.20674 · Cited by 374 · see citing works
ADHD as a Risk Factor for Incident Unprovoked Seizures and Epilepsyin Children
Hesdorffer, D. C., Lúðvígsson, P., Ólafsson, E., Guðmundsson, G., Kjartansson, Ó., & Hauser, W. A. (2004) · Archives of General Psychiatry · doi:10.1001/archpsyc.61.7.731 · Cited by 348 · see citing works
Hopkins, I. M., Gower, M. W., Perez, T. A., Smith, D. S., Amthor, F. R., Wimsatt, F. C., & Biasini, F. J. (2011) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-011-1179-z · Cited by 342 · see citing works
Proximal psychiatric risk factors for suicidality in youth: the Great Smoky Mountains Study.
Foley, D. L., Goldston, D. B., Costello, E. J., & Angold, A. C. (2006) · PubMed · doi:10.1001/archpsyc.63.9.1017 · Cited by 322 · see citing works
Personalized machine learning for robot perception of affect and engagement in autism therapy
Rudovic, O., Lee, J., Dai, M., Schuller, B., & Picard, R. W. (2018) · Science Robotics · doi:10.1126/scirobotics.aao6760 · Cited by 316 · see citing works
Henricsson, L., & Rydell, A. (2004) · Merrill-palmer Quarterly · doi:10.1353/mpq.2004.0012 · Cited by 307 · see citing works
Deep Convolutional Neural Network Model for Automated Diagnosis of Schizophrenia Using EEG Signals
Oh, S. L., Vicnesh, J., Ciaccio, E. J., Yuvaraj, R., & Acharya, U. R. (2019) · Applied Sciences · doi:10.3390/app9142870 · Cited by 307 · see citing works
Self-citationYerys, B. E., Wallace, G. L., Sokoloff, J. L., Shook, D. A., James, J. D., & Kenworthy, L. (2009) · Autism Research · doi:10.1002/aur.103 · Cited by 299 · cited 1× · see citing works
“The complex web of comorbidities between NDDs and MHDs can contribute to the severity of learning disabilities [11] in individual children and can further reduce the quality of life.”
BackgroundKhodatars, M., Shoeibi, A., Sadeghi, D., Ghaasemi, N., Jafari, M., Moridian, P., Khadem, A. A., Alizadehsani, R., Zare, A., Kong, Y., et al. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104949 · Cited by 294 · see citing works
Self-citationRegan, P. M., & Jesse, J. (2019) · Ethics and Information Technology · doi:10.1007/s10676-018-9492-2 · Cited by 286 · see citing works
Automatic analysis of affective postures and body motion to detect engagement with a game companion,
Sanghvi, J., Castellano, G., Leite, I., Pereira, A., McOwan, P. W., & Paiva, A. (2011) · Proceedings of the 6th international conference on Human-robot interaction · doi:10.1145/1957656.1957781 · Cited by 250 · see citing works
Automated depression analysis using convolutional neural networks from speech
He, L., & Cui, C. (2018) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2018.05.007 · Cited by 250 · see citing works
Fridin, M. (2013) · Computers & Education · doi:10.1016/j.compedu.2013.07.043 · Cited by 249 · see citing works
Gjevik, E., Eldevik, S., Fjæran-Granum, T., & Sponheim, E. (2010) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-010-1095-7 · Cited by 236 · see citing works
Evaluating the Engagement with Social Robots
Anzalone, S. M., Boucenna, S., Ivaldi, S., & Chétouani, M. (2015) · International Journal of Social Robotics · doi:10.1007/s12369-015-0298-7 · Cited by 236 · see citing works
Comprehensive electrocardiographic diagnosis based on deep learning
Lih, O. S., Jahmunah, V., San, T. R., Ciaccio, E. J., Yamakawa, T., Tanabe, M., Kobayashi, M., Faust, O., & Acharya, U. R. (2020) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2019.101789 · Cited by 220 · see citing works
Self-citationMultimodal Child-Robot Interaction: Building Social Bonds
Belpaeme, T., Baxter, P. E., Read, R., Wood, R., Cuayáhuitl, H., Kiefer, B., Racioppa, S., Kruijff‐Korbayová, I., Αθανασόπουλος, Γ., Enescu, V., et al. (2013) · Journal of Human-Robot Interaction · doi:10.5898/jhri.1.2.belpaeme · Cited by 213 · see citing works
Tsai, Y.-S., & Gasevic, D. (2017) · Proceedings of the Seventh International Learning Analytics & Knowledge Conference · doi:10.1145/3027385.3027400 · Cited by 211 · see citing works
Hansen, B. H., Oerbeck, B., Skirbekk, B., Petrovski, B. É., & Kristensen, H. (2018) · Nordic Journal of Psychiatry · doi:10.1080/08039488.2018.1444087 · Cited by 182 · see citing works
Elsahar, Y., Hu, S., Bouazza‐Marouf, K., Kerr, D., & Mansor, A. (2019) · Sensors · doi:10.3390/s19081911 · Cited by 182 · see citing works
Dubreuil-Vall, L., Ruffini, G., & Camprodon, J. A. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00251 · Cited by 175 · see citing works
Privacy-Preserving Decentralized Key-Policy Attribute-Based Encryption
Han, J., Susilo, W., Mu, Y., & Yan, J. H. (2012) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2012.50 · Cited by 174 · see citing works
ADHD symptoms and the teacher–student relationship: a systematic literature review
Ewe, L. P. (2019) · Emotional and Behavioural Difficulties · doi:10.1080/13632752.2019.1597562 · Cited by 163 · see citing works
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals
Bayğın, M., Doğan, Ş., Tuncer, T., Barua, P. D., Faust, O., Arunkumar, N., Abdulhay, E., Palmer, E. E., & Acharya, U. R. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104548 · Cited by 160 · see citing works
Self-citationDeveloping Kaspar: A Humanoid Robot for Children with Autism
Wood, L. J., Zaraki, A., Robins, B., & Dautenhahn, K. (2019) · International Journal of Social Robotics · doi:10.1007/s12369-019-00563-6 · Cited by 157 · see citing works
Using electrodermal activity to recognize ease of engagement in children during social interactions
Hernández, J., Riobo, I., Rozga, A., Abowd, G., & Picard, R. W. (2014) · Ubiquitous Computing · doi:10.1145/2632048.2636065 · Cited by 155 · see citing works
A historical perspective of speech recognition
Huang, X., Baker, J., & Reddy, R. (2014) · Communications of the ACM · doi:10.1145/2500887 · Cited by 153 · see citing works
Rice, L., Wall, C. A., Fogel, A., & Shic, F. (2015) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-015-2380-2 · Cited by 150 · see citing works
Dysfunction of Rapid Neural Adaptation in Dyslexia
Perrachione, T. K., Tufo, S. N. D., Winter, R. E., Murtagh, J., Cyr, A. B., Chang, P., Halverson, K. K., Ghosh, S., Christodoulou, J. A., & Gabrieli, J. D. E. (2016) · Neuron · doi:10.1016/j.neuron.2016.11.020 · Cited by 142 · see citing works
A Review on Artificial Intelligence in Special Education
Drigas, A. S., & Ioannidou, R.-E. (2013) · Communications in computer and information science · doi:10.1007/978-3-642-35879-1_46 · Cited by 139 · see citing works
Esteban, P. G., Baxter, P. E., Belpaeme, T., Billing, E., Cai, H., Cao, H.-L., Coeckelbergh, M., Costescu, C. A., David, D., Beir, A. D., et al. (2017) · Paladyn Journal of Behavioral Robotics · doi:10.1515/pjbr-2017-0002 · Cited by 137 · see citing works
Suicide in Autism Spectrum Disorders
Richa, S., Fahed, M., Khoury, E., & Mishara, B. (2014) · Archives of Suicide Research · doi:10.1080/13811118.2013.824834 · Cited by 135 · see citing works
Tor, H. T., Ooi, C. P., Lim-Ashworth, N., Wei, J. K. E., Jahmunah, V., Oh, S. L., Acharya, U. R., & Fung, D. S. S. (2021) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2021.105941 · Cited by 130 · see citing works
Self-citationSymptoms of Attention-Deficit/Hyperactivity Disorder Following Traumatic Brain Injury in Children
Levin, H., Hanten, G., Max, J., Li, X., Swank, P., Ewing-Cobbs, L., Dennis, M., Menefee, D. S., & Schachar, R. (2007) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/01.dbp.0000267559.26576.cd · Cited by 123 · see citing works
E-Readers Are More Effective than Paper for Some with Dyslexia
Schneps, M. H., Thomson, J., Chen, C., Sonnert, G., & Pomplun, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075634 · Cited by 107 · see citing works
Social Robots in Special Education: A Systematic Review
Papakostas, G. A., Sidiropoulos, G. K., Papadopoulou, C. I., Vrochidou, Ε., Kaburlasos, V. G., Papadopoulou, M. T., Holeva, V., Nikopoulou, V. A., & Dalivigkas, N. (2021) · Electronics · doi:10.3390/electronics10121398 · Cited by 106 · see citing works
Autism Spectrum Disorder Diagnostic System Using HOS Bispectrum with EEG Signals
Pham, T., Vicnesh, J., Wei, J. K. E., Oh, S. L., Arunkumar, N., Abdulhay, E., Ciaccio, E. J., & Acharya, U. R. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17030971 · Cited by 101 · see citing works
Self-citationJain, S., Thiagarajan, B., Shi, Z., Clabaugh, C., & Matarić, M. J. (2020) · Science Robotics · doi:10.1126/scirobotics.aaz3791 · Cited by 99 · see citing works
Genetics of attention-deficit/hyperactivity disorder: an update
Akutagava‐Martins, G. C., Rohde, L. A., & Hutz, M. H. (2015) · Expert Review of Neurotherapeutics · doi:10.1586/14737175.2016.1130626 · Cited by 86 · see citing works
Koh, J. E. W., Ooi, C. P., Lim-Ashworth, N., Vicnesh, J., Tor, H. T., Lih, O. S., Tan, R., Acharya, U. R., & Fung, D. S. S. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.105120 · Cited by 83 · see citing works
Self-citationAlcorn, A. M., Ainger, E., Charisi, V., Mantinioti, S., Petrović, S., Schadenberg, B. R., Tavassoli, T., & Pellicano, E. (2019) · Frontiers in Robotics and AI · doi:10.3389/frobt.2019.00107 · Cited by 77 · see citing works
Diagnosis of attention deficit hyperactivity disorder using imaging and signal processing techniques
Sridhar, C., Bhat, S., Acharya, U. R., Adeli, H., & Bairy, G. M. (2017) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2017.07.009 · Cited by 75 · see citing works
Self-citationA novel automated autism spectrum disorder detection system
Oh, S. L., Jahmunah, V., Arunkumar, N., Abdulhay, E. W., Gururajan, R., Adib, N., Ciaccio, E., Cheong, K., & Acharya, U. R. (2021) · Complex & Intelligent Systems · doi:10.1007/s40747-021-00408-8 · Cited by 75 · see citing works
Self-citationNeurodevelopmental Behavioral and Cognitive Disorders
Jeste, S. (2015) · CONTINUUM Lifelong Learning in Neurology · doi:10.1212/01.con.0000466661.89908.3c · Cited by 71 · see citing works
Gwernan‐Jones, R., Moore, D. A., Cooper, P. W., Russell, A. E., Richardson, M. A., Rogers, M., Coon, J. T., Stein, K., Ford, T. J., & Garside, R. (2016) · Emotional and Behavioural Difficulties · doi:10.1080/13632752.2015.1120055 · Cited by 69 · see citing works
Siam, K., & Al-Natour, M. (2016) · International Education Studies · doi:10.5539/ies.v9n12p167 · Cited by 61 · see citing works
Victor, E., Aghajan, Z. M., Sewart, A. R., & Christian, R. (2019) · Psychological Assessment · doi:10.1037/pas0000724 · Cited by 57 · see citing works
Improving communication skills of children with ASDs through interaction with virtual characters
Abirached, B., Zhang, Y., Aggarwal, J. K., Tamersoy, B., Fernandes, T., & Carlos, J. (2011) · SeGAH ... IEEE ... International Conference on Serious Games and Applications for Health/IEEE International Conference on Serious Games and Applications for Health · doi:10.1109/segah.2011.6165464 · Cited by 55 · see citing works
Arshad, N. I., Hashim, A. S., Ariffin, M. M., Aszemi, N. M., Low, H. M., & Norman, A. A. (2020) · IEEE Access · doi:10.1109/access.2020.3001629 · Cited by 53 · see citing works
Swedish child and adolescent psychiatric out-patients
Kopp, S., & Gillberg, C. (2003) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-003-0309-3 · Cited by 52 · see citing works
Designing Real Time Assistive Technologies
Sonne, T., Obel, C., & Grønbæk, K. (2015) · Australian Conference on Computer-Human Interaction (OzCHI) · doi:10.1145/2838739.2838815 · Cited by 47 · see citing works
Oerbeck, B., Øvergaard, K. R., Aspenes, S. T., Pripp, A. H., Mørdre, M., Aase, H., Reichborn‐Kjennerud, T., & Zeiner, P. (2017) · BMC Psychiatry · doi:10.1186/s12888-017-1204-7 · Cited by 45 · see citing works
Recent Stressful Life Events and Suicide Attempt
Wang, Y., Sareen, J., Afifi, T. O., Bolton, J. M., Johnson, E. A., & Bolton, J. M. (2012) · Psychiatric Annals · doi:10.3928/00485713-20120217-07 · Cited by 44 · see citing works
Muharib, R., Correa, V. I., Wood, C. L., & Haughney, K. L. (2018) · Journal of Special Education Technology · doi:10.1177/0162643418783479 · Cited by 43 · see citing works
Educational Software as Assistive Technologies for Children with Autism Spectrum Disorder
Purnama, Y., Herman, F. A., Hartono, J., Neilsen, Suryani, D., & Sanjaya, G. (2021) · Procedia Computer Science · doi:10.1016/j.procs.2020.12.002 · Cited by 41 · see citing works
Muharib, R., & Alzrayer, N. M. (2017) · Review Journal of Autism and Developmental Disorders · doi:10.1007/s40489-017-0122-4 · Cited by 40 · see citing works
Yoro, A. J., Fourie, J. V., & van der Merwe, M. (2020) · African Journal of Disability · doi:10.4102/ajod.v9i0.561 · Cited by 38 · see citing works
Speaking Math — A Voice Input, Speech Output Calculator for Students with Visual Impairments
Bouck, E. C., Flanagan, S. M., Joshi, G. S., Sheikh, W., & Schleppenbach, D. (2011) · Journal of Special Education Technology · doi:10.1177/016264341102600401 · Cited by 37 · see citing works
Blockchain for Cybersecurity: A Comprehensive Survey
Bansal, P., Panchal, R., Bassi, S., & Kumar, A. (2020) · IEEE International Conference on Communication Systems and Network Technologies (CSNT) · doi:10.1109/csnt48778.2020.9115738 · Cited by 33 · see citing works
Colton, M. B., Ricks, D. J., Goodrich, M. A., Dariush, B., Fujimura, K., & Fujiki, M. (2010) · Cited by 32 · see citing works
(2008) · PsycEXTRA Dataset · doi:10.1037/e588242011-001 · Cited by 31 · see citing works
Rello, L., Williams, K., Ali, A. X., White, N. C., & Bigham, J. P. (2016) · International Web for All Conference (W4A) · doi:10.1145/2899475.2899491 · Cited by 30 · see citing works
Kim, J. C., Azzi, P., Jeon, M., Howard, A. M., & Park, C. H. (2017) · International Conference on Ubiquitous Robots and Ambient Intelligence · doi:10.1109/urai.2017.7992881 · Cited by 30 · see citing works
Examining the Effectiveness of Gamification in Human Computation
Wang, X., Goh, D. H., Lim, E., Vu, A. W. L., & Chua, A. Y. K. (2017) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2017.1287458 · Cited by 29 · see citing works
Athanaselis, T., Bakamidis, S., Dologlou, I., Argyriou, E. N., & Symvonis, A. (2012) · Multimedia Tools and Applications · doi:10.1007/s11042-012-1073-5 · Cited by 29 · see citing works
Novack, M. N., Hong, E. S., Dixon, D. R., & Granpeesheh, D. (2018) · Behavior Analysis in Practice · doi:10.1007/s40617-018-00312-7 · Cited by 28 · see citing works
A Physical-Layer Location Privacy-Preserving Scheme for Mobile Public Hotspots in NEMO-Based VANETs
Taha, S., & Shen, X. (2013) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2013.2265311 · Cited by 26 · see citing works
Elsahar, Y., Hu, S., Bouazza‐Marouf, K., Kerr, D., & Mansor, A. (2019) · Preprints.org · doi:10.20944/preprints201903.0033.v1 · Cited by 25 · see citing works
Sood, M. R., Toornstra, A., Sereno, M. I., Boland, M., Filaretti, D., & Sood, A. (2018) · JMIR Research Protocols · doi:10.2196/resprot.9583 · Cited by 23 · see citing works
Trends of Cloud Computing in Education
Shi, Y., Yang, H. H., Yang, Z., & Wu, D. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-08961-4_12 · Cited by 22 · see citing works
A Novel Reinforcement-Based Paradigm for Children to Teach the Humanoid Kaspar Robot
Zaraki, A., Khamassi, M., Wood, L. J., Lakatos, G., Tzafestas, C. S., Amirabdollahian, F., Robins, B., & Dautenhahn, K. (2019) · International Journal of Social Robotics · doi:10.1007/s12369-019-00607-x · Cited by 21 · see citing works
A study of computer-based learning model for students with dyslexia
Hamid, S. S. A., Admodisastro, N. I., & Kamaruddin, A. (2015) · Malaysian Software Engineering Conference (MySEC) · doi:10.1109/mysec.2015.7475234 · Cited by 20 · see citing works
An intelligent integrative assistive system for dyslexic learners
Ndombo, D. M., Ojo, S. O., & Osunmakinde, I. O. (2013) · Journal of Assistive Technologies · doi:10.1108/jat-11-2012-0036 · Cited by 17 · see citing works
Analysis of speech properties of neurotypicals and individuals diagnosed with autism and down
Hoque, M. E. (2008) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/1414471.1414554 · Cited by 16 · see citing works
Mental Illness in Children: Childhood Illness and Supporting the Family
Sheehan, R. (2017) · Brain Sciences · doi:10.3390/brainsci7080097 · Cited by 15 · see citing works
A Long-term Study of Robot-Assisted Therapy for Children with Severe Autism and ADHD
Rakhymbayeva, N., Seitkazina, N., Turabayev, D., Pak, A., & Sandygulova, A. (2020) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3371382.3378356 · Cited by 14 · see citing works
Handbook of Research on Practices and Outcomes in E-Learning
Yang, H. H., & Yuen, S. C.-Y. (2010) · IGI Global eBooks · doi:10.4018/978-1-60566-788-1 · Cited by 14 · see citing works
Renemane, L., Ķīvīte‐Urtāne, A., & Rancāns, E. (2021) · Medicina · doi:10.3390/medicina57090970 · Cited by 12 · see citing works
Learning Analytics in Higher Education: A Reflection
Zilvinskis, J., & Wills, J. E. (2019) · InSight A Journal of Scholarly Teaching · doi:10.46504/14201903zi · Cited by 11 · see citing works
Somma, F., Rega, A., & Gigliotta, O. (2019) · Cited by 6 · see citing works
Tsampalas, E., Dimitrios, S., Papadimitropoulou, P., Vergou, M., & Zakopoulou, V. (2017) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1095186 · Cited by 3 · see citing works
Tsampalas, E., Dimitrios, S., Papadimitropoulou, P., Vergou, M., & Zakopoulou, V. (2017) · Open Access Publishing Group - European Journal of Special Education Research · doi:10.46827/ejse.v0i0.1254 · Cited by 2 · see citing works
Researching, Evaluating, and Choosing a Backup Service in the Cloud.
Hastings, R. (2012) · Cited by 2 · see citing works
DytectiveU application: contribution to the literacy in children with dyslexia
Agama, A. A., & Gómez, R. M. (2021) · Espirales revista multidisciplinaria de investigación · doi:10.31876/er.v5i36.777 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 5
- [23]Snowling M.J. Gooch D.C. Henderson L.M. Dyslexia Encyclopedia of Human Behavior 2nd ed. Ramachandran Academic Press San Diego, CA, USA 2012 732 739
- [30]Sharif H. Khan R.A. A novel framework for automatic detection of Autism: A study on Corpus Callosum and Intracranial Brain Volume arXiv 2019
- [77]Rello L.K. Williams A. Ali N.C. White J.P. Bigham, Dytective: Towards Detecting Dyslexia across Languages Using an Online Game Proceedings of the 13th International Web for All Conference Montreal, QC, Canada 11–13 April 2016
- [90]Rouhi A. Spitale M. Catania F. Cosentino G. Gelsomini M. Garzotto F. Emotify: Emotional game for children with autism spectrum disorder based-on machine learning Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion Marina del Ray, CA, USA 16–20 March 2019 31 32
- [108]Smith S.W. Bourgeois D.T. James L. Mortati J. The Ethical and Legal Implications of Information Systems; 2021 Available online: https://bus206.pressbooks.com/chapter/chapter-12-the-ethical-and-legal-implications-of-information-systems/ (accessed on 25 February 2021)
Cited by
Sorted by citations
State of the art and practice in <scp>AI</scp> in education
Holmes, W., & Tuomi, I. (2022) · European Journal of Education · doi:10.1111/ejed.12533 · Cited by 1,093 · see citing works
<scp>AI</scp>‐driven adaptive learning for sustainable educational transformation
Strielkowski, W., Grebennikova, V., Lisovskiy, A., Rakhimova, G., & Vasileva, T. (2025) · Sustainable Development · doi:10.1002/sd.3221 · Cited by 581 · see citing works
Almufareh, M. F., Kausar, S., Humayun, M., & Tehsin, S. (2024) · Journal of Disability Research · doi:10.57197/jdr-2023-0060 · Cited by 159 · see citing works
The Future of Artificial Intelligence in Special Education Technology
Marino, M. T., Vasquez, E., Dieker, L., Basham, J., & Blackorby, J. (2023) · Journal of Special Education Technology · doi:10.1177/01626434231165977 · Cited by 142 · see citing works
The threat, hype, and promise of artificial intelligence in education
Humble, N., & Mozelius, P. (2022) · Discover Artificial Intelligence · doi:10.1007/s44163-022-00039-z · Cited by 125 · see citing works
Kirk, H. R., Vidgen, B., Röttger, P., & Hale, S. A. (2024) · Nature Machine Intelligence · doi:10.1038/s42256-024-00820-y · Cited by 122 · see citing works
Integrating AI literacy into teacher education: a critical perspective paper
Daher, R. (2025) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00475-7 · Cited by 169 · see citing works
Yenduri, G., Kaluri, R., Rajput, D. S., Lakshmanna, K., Gadekallu, T. R., Mahmud, M., & Brown, D. J. (2023) · IEEE Access · doi:10.1109/access.2023.3289496 · Cited by 135 · see citing works
Breaking Barriers—The Intersection of AI and Assistive Technology in Autism Care: A Narrative Review
Iannone, A., & Giansanti, D. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm14010041 · Cited by 87 · see citing works
Inclusive education with AI: supporting special needs and tackling language barriers
Fitas, R. (2025) · AI and Ethics · doi:10.1007/s43681-025-00824-3 · Cited by 177 · see citing works
A social robot connected with chatGPT to improve cognitive functioning in ASD subjects
Bertacchini, F., Demarco, F., Scuro, C., Pantano, P., & Bilotta, E. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1232177 · Cited by 83 · see citing works
Firth, J., Torous, J. B., López‐Gil, J. F., Linardon, J., Milton, A. C., Lambert, J. D., Smith, L., Jarić, I., Fabian, H., Vancampfort, D., et al. (2024) · World Psychiatry · doi:10.1002/wps.21188 · Cited by 99 · see citing works
Artificial Intelligence: An Untapped Opportunity for Equity and Access in STEM Education
Kohnke, S., & Zaugg, T. (2025) · Education Sciences · doi:10.3390/educsci15010068 · Cited by 77 · see citing works
The Integration of Artificial Intelligence in Inclusive Education: A Scoping Review
Pagliara, S. M., Bonavolontà, G., Pia, M., Falchi, S., Zurru, A. L., Fenu, G., & Mura, A. (2024) · Information · doi:10.3390/info15120774 · Cited by 90 · see citing works
Kooli, C., & Yusuf, N. (2024) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2024.2338330 · Cited by 63 · see citing works
Assessing the Challenges and Opportunities of Artificial Intelligence in Indian Education
Agarwal, P., & Vij, A. (2024) · International Journal for Global Academic & Scientific Research · doi:10.55938/ijgasr.v3i1.71 · Cited by 59 · see citing works
Ahmed, S., Rahman, M. S., Kaiser, M. S., & Hosen, A. S. M. S. (2025) · Digital · doi:10.3390/digital5020011 · Cited by 47 · see citing works
A Review of Artificial Intelligence Interventions for Students with Autism Spectrum Disorder
Κώτση, Σ., Χανδρινού, Σ., Iatraki, G., & Soulis, S. (2025) · Disabilities · doi:10.3390/disabilities5010007 · Cited by 41 · see citing works
Inclusive Education with AI: Supporting Special Needs and Tackling Language BarriersPreprint
Fitas, R. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5366398 · Cited by 41 · see citing works
Stein, B., Hoeft, F., & Richter, C. G. (2024) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2024.101410 · Cited by 38 · see citing works
Chen, R., Lee, V. R., & G Lee, M. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13350-w · Cited by 43 · see citing works
“Much publicized generative AI tutor projects encountered real-world challenges (Barua et al., 2022; Kamalov et al., 2023).”
AI-Enhanced Dyscalculia Screening: A Survey of Methods and Applications for Children
Bhushan, S., Sharmila, A., Eisa, T. A. E., Nasser, M., Singh, A. K., & Kumar, P. (2024) · Diagnostics · doi:10.3390/diagnostics14131441 · Cited by 41 · see citing works
Neurobiological Relationships Between Neurodevelopmental Disorders and Mood Disorders
Bertollo, A. G., Puntel, C. F., da Silva, B. V., Martins, M., Bagatini, M. D., & Ignácio, Z. M. (2025) · Brain Sciences · doi:10.3390/brainsci15030307 · Cited by 36 · see citing works
Kooli, C., & CHAKRAOUI, R. (2025) · Sustainable Futures · doi:10.1016/j.sftr.2025.101042 · Cited by 81 · see citing works
Oyelere, S. S., & Aruleba, K. (2025) · Computers and Education Open · doi:10.1016/j.caeo.2025.100245 · Cited by 42 · see citing works
Machine Learning for Predicting Neurodevelopmental Disorders in Children
Toki, E. I., Tsoulos, I. G., Santamato, V., & Pange, J. (2024) · Applied Sciences · doi:10.3390/app14020837 · Cited by 35 · see citing works
Kayyali, M. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-7220-3.ch013 · Cited by 34 · see citing works
Chen, J. J. (2025) · AI Brain and Child · doi:10.1007/s44436-025-00002-6 · Cited by 34 · see citing works
Albahri, A. S., Joudar, S. S., Hamid, R. A., Zahid, I. A., Alqaysi, M. E., Albahri, O. S., Alamoodi, A. H., Kou, G., & Sharaf, I. M. (2023) · International Journal of Fuzzy Systems · doi:10.1007/s40815-023-01597-9 · Cited by 28 · see citing works
Altınay, Z., Altınay, F., Sharma, R. C., Dağlı, G., Shadiev, R., Yıkıcı, B., & Altınay, M. (2024) · Societies · doi:10.3390/soc14080148 · Cited by 27 · see citing works
Zhang, L., Carter, R. A., Liu, Y., & Peng, P. (2024) · Review of Educational Research · doi:10.3102/00346543241293424 · Cited by 44 · see citing works
Hoose, S., & Králiková, K. (2024) · Administrative Sciences · doi:10.3390/admsci14090227 · Cited by 26 · see citing works
Elshaer, I. A., AlNajdi, S. M., & Salem, M. A. (2025) · Sustainability · doi:10.3390/su17125609 · Cited by 25 · see citing works
AI Adoption for Collaboration: Factors Influencing Inclusive Learning Adoption in Higher Education
Alyoussef, I. Y., Drwish, A. M., Albakheet, F. A., Alqahtani, R. H. A., & Technology, A. A. A. E. (2025) · IEEE Access · doi:10.1109/access.2025.3567656 · Cited by 35 · see citing works
AI Tools Like ChatGPT for People with Neurodevelopmental Disorders
Moraiti, I., & Drigas, A. S. (2023) · International Journal of Online and Biomedical Engineering (iJOE) · doi:10.3991/ijoe.v19i16.43399 · Cited by 22 · see citing works
Yu, L., Ge, Y., Ansari, S., Imran, M. A., & Ahmad, W. (2025) · Sensors · doi:10.3390/s25154763 · Cited by 22 · see citing works
Habibi, F., Sedaghatshoar, S., Attar, T., Shokoohi, M., Kiani, A., & Malek, A. N. (2025) · AI and Ethics · doi:10.1007/s43681-024-00608-1 · Cited by 21 · see citing works
Functionality of Apps for People with Autism: Comparison between Educators from Florence and Granada
Montes, C. D. P. G., Fuentes, A. R., Cara, M. J. C., & Capperucci, D. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19127019 · Cited by 20 · see citing works
Okul Öncesi Eğitimi Öğretmenlerinin Yapay Zekâya İlişkin Görüşleri
Küçükkara, M. F., Ünal, M., & Sezer, T. (2024) · Temel Eğitim Araştırmaları Dergisi · doi:10.55008/te-ad.1431142 · Cited by 23 · see citing works
Al-Nafjan, A., Alghamdi, M. M. M., Alhakbani, N., & Al-Ohali, Y. (2024) · Diagnostics · doi:10.3390/diagnostics15010060 · Cited by 21 · see citing works
AI-Assisted Models for Dyslexia and Dysgraphia
Iyer, L., Chakraborty, T., Reddy, K. N., Jyothish, K., & Krishnaswami, M. (2023) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-0378-8.ch008 · Cited by 19 · see citing works
Pan, Y., & Foroughi, A. (2024) · Journal of Cloud Computing Advances Systems and Applications · doi:10.1186/s13677-023-00558-9 · Cited by 19 · see citing works
Aldakhil, A. F. (2024) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2024.104858 · Cited by 30 · see citing works
Hong, H., & Kim, Y. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12809-6 · Cited by 25 · see citing works
Alsudairy, N. A., & Eltantawy, M. M. (2024) · Journal of Intellectual Disability - Diagnosis and Treatment · doi:10.6000/2292-2598.2024.12.02.5 · Cited by 18 · see citing works
Explainable AI for Autism Classification in Children
Magboo, M. S. A., & Magboo, V. P. C. (2022) · Smart innovation, systems and technologies · doi:10.1007/978-981-19-3359-2_17 · Cited by 18 · see citing works
Design of an intelligent grading system for college English translation based on big data technology
Li, X., & Huang, C. (2025) · Systems and Soft Computing · doi:10.1016/j.sasc.2025.200205 · Cited by 17 · see citing works
Digital Dialogue—How Youth Are Interacting With Chatbots
Pratt, N., Madhavan, R., & Weleff, J. (2024) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2024.0084 · Cited by 17 · see citing works
Integrating AI tools for enhanced autism education: a comprehensive review
Adako, O. P., Adeusi, O. C., & Alaba, P. A. (2024) · International Journal of Developmental Disabilities · doi:10.1080/20473869.2024.2392983 · Cited by 22 · see citing works
GenAI, Robots, and Inclusive Special Education
Sağdıç, A., Elumar-efe, E., & Sani-Bozkurt, S. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-1351-0.ch015 · Cited by 16 · see citing works
Stasolla, F., Akbar, K., Passaro, A., Dragone, M., Gioia, M. D., & Zullo, A. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1372769 · Cited by 16 · see citing works
AI Syndrome: an intellectual asset for students or a progressive cognitive decline
Ahmad, O., maliha, H., & Ahmed, I. (2024) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2024.103969 · Cited by 14 · see citing works
Utepbayeva, A. (2024) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2024.14.7.2119 · Cited by 17 · see citing works
Kim, H.-S., Hwang, H., Gwak, S., Yoon, J., & Park, K. (2024) · PLoS ONE · doi:10.1371/journal.pone.0305726 · Cited by 27 · see citing works
Ahmad, W., Raj, R., & Shokeen, R. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-5538-1.ch001 · Cited by 14 · see citing works
Adako, O. P., Adeusi, O. C., & Alaba, P. A. (2025) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2025.2477678 · Cited by 19 · see citing works
Artificial Intelligence and Innovative Applications in Special Education
Şen, N., & Akbay, T. (2023) · Öğretim Teknolojisi ve Hayat Boyu Öğrenme Dergisi - Instructional Technology and Lifelong Learning · doi:10.52911/itall.1297978 · Cited by 13 · see citing works
Liu, X., Lau, N. M. L., Chuin, A., Leung, W.-K., Ho, A.-T. T., Das, M., Liu, M., & Kwok, C. (2023) · International Symposium of Chinese CHI (Chinese CHI) · doi:10.1145/3629606.3629625 · Cited by 13 · see citing works
Distractibility and Impulsivity in ADHD as an Evolutionary Mismatch of High Trait Curiosity
Cunff, A. L. (2024) · Evolutionary Psychological Science · doi:10.1007/s40806-024-00400-8 · Cited by 17 · see citing works
Acosta-Vargas, P., Acosta-Vargas, G., Salvador-Acosta, B., & Jadán-Guerrero, J. L. (2024) · International Conference on eDemocracy & eGovernment · doi:10.1109/icedeg61611.2024.10702085 · Cited by 13 · see citing works
ChatGPT enhances reading comprehension for children with dyslexia in Arabic language
Gharaibeh, M., & Basulayyim, A. (2025) · Disability and Rehabilitation: Assistive Technology · doi:10.1080/17483107.2025.2508389 · Cited by 13 · see citing works
Amouri, H., Haroud, S., Ouchaouka, L., & Saqri, N. (2025) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2025.1616327 · Cited by 12 · see citing works
Dange, P., Mistry, T., & Mann, S. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-47997-7_3 · Cited by 12 · see citing works
Yang, F., Wei, J., Zhao, X., & An, R. (2025) · JMIR mhealth and uhealth · doi:10.2196/58597 · Cited by 15 · see citing works
Educational Games and the Potential of AI to Transform Writing Across the Curriculum
Evmenova, A. S., Regan, K. S., Mergen, R. L., & Nawash, R. H. (2025) · Education Sciences · doi:10.3390/educsci15050567 · Cited by 22 · see citing works
The Impact of Artificial Intelligence on Learners and Teachers: A Mathematics Education Perspective
Li, X., Gould, T., & Zaki, R. (2024) · Integrated science · doi:10.1007/978-3-031-60713-4_9 · Cited by 11 · see citing works
Shahini, A., Kamath, A. P., Sharma, E., Salvi, M., Tan, R., Siuly, S., Seoni, S., Ganguly, R., Devi, A., Deo, R. C., et al. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103441 · Cited by 18 · see citing works
Self-citationCesaroni, V., Pasqua, E., Bisconti, P., & Galletti, M. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-98462-4_10 · Cited by 11 · see citing works
A SYSTEMATIC ANALYSIS OF AI-EMPOWERED EDUCATIONAL TOOLS DEVELOPED IN INDIA FOR DISABLED PEOPLE
Shivani, Gupta, M., & Gupta, S. B. (2024) · Information Technologies and Learning Tools · doi:10.33407/itlt.v100i2.5501 · Cited by 9 · see citing works
AI in autism education: a review of collaborative and longitudinal approaches
Adako, O. P., Adeusi, O. C., & Alaba, P. A. (2025) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2025.2579825 · Cited by 9 · see citing works
Artificial Intelligence and Literacy Development in K–12 Schools
Maher, D., & Young, K. (2023) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-0205-7.ch004 · Cited by 8 · see citing works
Supporting Preschool Emotional Development with AI-Powered Robot
Berrezueta-Guzmán, J., Dolón-Poza, M., & Wagner, S. (2025) · ACM International Conference on Interaction Design and Children (IDC) · doi:10.1145/3713043.3731548 · Cited by 9 · see citing works
Revolutionizing Education With NLP and ML
Ravikumar, R. N., Aarthi, S., Sapaeva, B. S., Jumaniyozov, Y., Praveen, V. M., & Siddheswaran, V. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6791-0.ch011 · Cited by 8 · see citing works
Sandipa, B. D., Mitratne, D. M., Isurika, M. D. A., Kandanaarachchi, D. S., Rathnayake, S. C., & Tissera, W. (2023) · International Research Journal of Innovations in Engineering and Technology · doi:10.47001/irjiet/2023.709010 · Cited by 8 · see citing works
Using Artificial Intelligence in Teaching Health and Physical Education
Konukman, F., Sortwell, A., Filiz, B., Tüfekçioğlu, E., Yılmaz, E. B., & Ünlü, H. (2025) · Journal of Physical Education Recreation & Dance · doi:10.1080/07303084.2025.2522601 · Cited by 7 · see citing works
Rappa, N. A., Nonis, K. P., Tang, K., Cooper, G., Cooper, M. G., & Sims, C. (2026) · British Journal of Educational Technology · doi:10.1111/bjet.70048 · Cited by 7 · see citing works
Jia, Q., Wang, X., Zhou, R., Ma, B., Fei, F., & Han, H. (2023) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2023.1310400 · Cited by 8 · see citing works
Kamber, E. (2025) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-7949-3.ch007 · Cited by 7 · see citing works
Tozzi, A. E., Gesualdo, F., Pandolfi, E., Ferro, D., Cinelli, G., Bozzola, E., Aversa, T., Mauro, A. D., Mameli, C., & Croci, I. (2023) · The Italian Journal of Pediatrics/Italian journal of pediatrics · doi:10.1186/s13052-023-01512-w · Cited by 8 · see citing works
Ateeq, A. A., Alzoraiki, M., Milhem, M., Beshr, B. A. H., & Meer, S. A. (2024) · Studies in systems, decision and control · doi:10.1007/978-3-031-54379-1_50 · Cited by 7 · see citing works
Hurford, R. M., Derry, M., & Bavuso, E. (2025) · Journal of Vocational Rehabilitation · doi:10.1177/10522263241312734 · Cited by 6 · see citing works
Artificial intelligence impacts in education and pediatric mental health
Liberatore, G., Kim, A., Brenner, J., & Milanaik, R. L. (2025) · Current Opinion in Pediatrics · doi:10.1097/mop.0000000000001453 · Cited by 6 · see citing works
The Evolution of AI in Education From Concept to Classroom
Kayyali, M. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-1827-1.ch013 · Cited by 6 · see citing works
Oleribe, O. O. (2025) · Healthcare · doi:10.3390/healthcare13151898 · Cited by 7 · see citing works
Baeyaert, J. (2025) · Sustainable Futures · doi:10.1016/j.sftr.2025.101126 · Cited by 9 · see citing works
Hamid, M. S., Hamza, E. A., Bedewy, D. A., Elsiddig, F. M. E., AlShammari, S. A., Bakhiet, S. F. A., & Mohamed, N. I. A. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1640556 · Cited by 6 · see citing works
Nasrallah, M., Moghrabi, A. E., Kayal, M., Matar, D., Alwan, I., & Fakhouy, M. (2025) · International Journal of Developmental Disabilities · doi:10.1080/20473869.2025.2456800 · Cited by 7 · see citing works
“Empowering Education: The Role of Artificial Intelligence in Supporting Students with Disabilities”
Tripathi, V., Palak, P., Bali, A., Sharma, P., Chadha, S., & Sharma, B. (2024) · International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC) · doi:10.1109/icmacc62921.2024.10893983 · Cited by 6 · see citing works
An Overview of Socially Assistive Robotics for Special Education
Suneesh, S., & Garate, V. R. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-24670-8_17 · Cited by 6 · see citing works
Acharya, M., & Mohbey, K. K. (2024) · Applied Intelligence and Informatics. · doi:10.1007/978-981-97-0914-4_3 · Cited by 6 · see citing works
AI and the Next Generation: Protecting Childhood in the Digital Age
de Barros, G. O., & Soares, O. S. (2025) · Information systems engineering and management · doi:10.1007/978-3-031-86079-9_5 · Cited by 5 · see citing works
Using AI to teach English to multilingual autistic children: a qualitative study
Mohamed, A. M. A. (2025) · International Journal of Inclusive Education · doi:10.1080/13603116.2025.2564336 · Cited by 10 · see citing works
Reframing AI governance in education: insights from the social model of disability
Marland, B., & Arantes, J. A. (2026) · Learning Media and Technology · doi:10.1080/17439884.2025.2595443 · Cited by 5 · see citing works
Altınay, F., Tlili, A., Altınay, Z., Dağlı, G., Adedoyın, O. B., Huang, R., Xu, L., Jemni, M., Mogavi, R. H., & Metwally, A. H. S. (2024) · Smart computing and intelligence · doi:10.1007/978-981-97-1298-4_7 · Cited by 5 · see citing works
Zraydi, F., Opoku, M. P., Guirguis, B. M., Ndijuye, L. G., & Gyimah, E. M. (2026) · Smart Learning Environments · doi:10.1186/s40561-026-00430-8 · Cited by 9 · see citing works
Mullan, F., Mather, H., Bateman, H., Cairns, A., Nasseripour, M., Binnie, V., Dawson, L. J., McCracken, G., & Ellis, J. S. (2024) · BDJ · doi:10.1038/s41415-024-7948-9 · Cited by 4 · see citing works
Ahmed, S. (2025) · Journal of Posthumanism · doi:10.63332/joph.v4i3.1816 · Cited by 4 · see citing works
The role of integration of AI in Science Learning in Special Education Needs
Kotsari, K., & Smyrnaiou, Z. (2024) · International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion (DSAI) · doi:10.1145/3696593.3696639 · Cited by 4 · see citing works
Alhaif, A. M., Aleidi, A. I., Ali, D. A. S., Besheir, M. A., Diab, H. M., & Ibrahem, U. M. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13635-0 · Cited by 4 · see citing works
Digital Health: An Opportunity to Advance Health Equity for People With Disabilities
JAIN, P., Jain, B., Doshi, R. H., Jain, U., Claypool, H., Aboulafia, A. H., & Swenor, B. K. (2025) · Milbank Quarterly · doi:10.1111/1468-0009.70049 · Cited by 4 · see citing works
- Authors
- Barua, P. D., Vicnesh, J., Gururajan, R., Oh, S. L., Palmer, E., Azizan, M. M., Kadri, N. A., & Acharya, U. R.
- Affiliations
- University of Technology Sydney (AU)
- Ngee Ann Polytechnic (SG)
- University of Southern Queensland (AU)
- UNSW Sydney (AU)
- Universiti Sains Islam Malaysia (MY)
- University of Malaya (MY)
- Asia University (TW)
- Corresponding author
- Azizan, Muhammad Mokhzaini
- ORCID
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2022-01-21
- Volume
- 19
- Issue
- 3
- Pages
- 1192
- ISSN
- 1660-4601 (ISSN-L)
- PMC
- PMC8835076
- OpenAlex
- W4205370021
- Cited by
- 270
- References
- 97
- Citations by year
- 2026: 70 · 2025: 106 · 2024: 63 · 2023: 23 · 2022: 8
- FWCI
- 6.31
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Keywords
- artificial intelligence, assistive technology, neurodevelopmental disorders, children with disabilities, personalized learning, autism spectrum disorder, dyslexia, attention deficit hyperactivity disorder, intellectual disability, mental illness, learning difficulties, social interaction, machine learning, educational intervention
- MeSH terms
- Autism Spectrum Disorder, Adolescent, Anxiety Disorders, Artificial Intelligence, Attention Deficit Disorder with Hyperactivity, Child, Humans, Neurodevelopmental Disorders
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review