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Dutt, Sarthika; Ahuja, Neelu Jyothi; Kumar, Manoj – Education and Information Technologies, 2022
Several studies have investigated the need for learning difficulties identification specifically Dyslexia, Dysgraphia and Dyscalculia. The identification of these difficulties among children is a multiple screening process under psychologist's supervision. Learning difficulties identification is a difficult task; it affects the learning process…
Descriptors: Intelligent Tutoring Systems, Special Education, Learning Disabilities, Students with Disabilities
Mohsen Mahmoudi-Dehaki; Nasim Nasr-Esfahani – Journal of Advanced Academics, 2025
This study examined the efficacy and acceptability of human-artificial intelligence (AI) hybrid tutoring in improving the writing skills of twice exceptional (2e) bilingual students with motor dysgraphia and attention-deficit hyperactivity disorder (ADHD) by employing an explanatory sequential design. In the quantitative phase, 12 2e bilingual…
Descriptors: Foreign Countries, Twice Exceptional, Bilingual Students, Attention Deficit Hyperactivity Disorder
Thapliyal, Monika; Ahuja, Neelu Jyothi; Shankar, Achyut; Cheng, Xiaochun; Kumar, Manoj – Journal of Computing in Higher Education, 2022
This paper presents the ontological design and implementation of the differentiated learning environment in the domain model of an intelligent tutoring system for children with specific learning disabilities. It addresses the learners need for differentiated instruction in a preferential learning environment. The proposed model helps to identify…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Students with Disabilities, Learning Disabilities
Gupta, Sambhav; Chen, Yu – Journal of Information Systems Education, 2022
Supporting student academic success has been one of the major goals for higher education. However, low teacher-to-student ratio makes it difficult for students to receive sufficient and personalized support that they might want to. The advancement of artificial intelligence (AI) and conversational agents, such as chatbots, has provided…
Descriptors: Inclusion, Undergraduate Students, At Risk Students, Artificial Intelligence
Klingler, Severin; Wampfler, Rafael; Käser, Tanja; Solenthaler, Barbara; Gross, Markus – International Educational Data Mining Society, 2017
Gathering labeled data in educational data mining (EDM) is a time and cost intensive task. However, the amount of available training data directly influences the quality of predictive models. Unlabeled data, on the other hand, is readily available in high volumes from intelligent tutoring systems and massive open online courses. In this paper, we…
Descriptors: Classification, Artificial Intelligence, Networks, Learning Disabilities
Janet Mannheimer Zydney; Casey Hord – International Journal of Designs for Learning, 2023
In this design case, we describe our first attempt to create a virtual mathematics tutoring program for students with learning disabilities. We describe in detail how the design was motivated by the pandemic which forced schools into remote learning, how a university and school collaborated on the design, the rationale for our design decisions,…
Descriptors: Mathematics Instruction, Intelligent Tutoring Systems, Learning Disabilities, Students with Disabilities
Zikai Wen – ProQuest LLC, 2021
Drill and practice is a well-received approach to repeatedly train learners' skills through a series of exercises and to reward them with corrective feedback. However, drill-based training may not improve learners' performance if its exercises are badly designed (e.g., not fun, not relevant to the learning goal, and becoming too difficult or too…
Descriptors: Educational Games, Game Based Learning, Computer Games, Artificial Intelligence
Xin, Yan Ping; Tzur, Ron; Hord, Casey; Liu, Jia; Park, Joo Young; Si, Luo – Learning Disability Quarterly, 2017
The Common Core Mathematics Standards have raised expectations for schools and students in the United States. These standards demand much deeper content knowledge from teachers of mathematics and their students. Given the increasingly diverse student population in today's classrooms and shortage of qualified special education teachers,…
Descriptors: Intelligent Tutoring Systems, Computer Assisted Instruction, Mathematics Instruction, Learning Disabilities
Kamsa, Imane; Elouahbi, Rachid; El Khoukhi, Fatima – Journal of Information Technology Education: Research, 2017
Aim/Purpose: To identify and rectify the learning difficulties of online learners. Background: The major cause of learners' failure and non-acquisition of knowledge relates to their weaknesses in certain areas necessary for optimal learning. We focus on e-learning because, within this environment, the learner is mostly affected by these…
Descriptors: Foreign Countries, Graduate Students, Masters Programs, Learning Disabilities
Singh, Ajay, Ed.; Yeh, Chia Jung, Ed.; Blanchard, Sheresa, Ed.; Anunciação, Luis, Ed. – IGI Global, 2021
Rehabilitation professionals working with students with disabilities and the families of those students face unique challenges in providing inclusive services to special education student populations. There needs to be a focus on adaptive teaching methods that provide quality experience for students with varying disabilities to promote student…
Descriptors: Students with Disabilities, Inclusion, Special Education, Teaching Methods

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