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Teachers' Digital Competence to Assist Students with Functional Diversity: Identification of Factors through Logistic Regression Methods
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Cabero-Almenara, Julio; Guillén-Gámez, Francisco D.; Ruiz-Palmero, Julio; Palacios-Rodríguez, Antonio – British Journal of Educational Technology, 2022
We are experiencing a serious health crisis due to COVID-19 that has a major impact on the field of education. The educational system therefore needs to be updated and innovated, with the addition of digital resources, to adapt the teaching and learning processes to students with disabilities. To meet the goal of high-quality education, teachers…
Descriptors: Technological Literacy, Regression (Statistics), Students with Disabilities, Teacher Competencies
Accessibility4Equity: Cripping Technology-Mediated Compulsory Education through Sociotechnical Praxis
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Shaheen, Natalie L. – British Journal of Educational Technology, 2022
During COVID-19, technology has frequently mediated schools' emergency remote learning. Tragically, many of those technologies, despite legal requirements to the contrary, are inaccessible to disabled youth--a pattern of oppression within compulsory education that predates the pandemic by almost two decades and is rooted in ableism. In this paper,…
Descriptors: Access to Computers, Accessibility (for Disabled), Educational Technology, Students with Disabilities
An Evaluation of an Adaptive Learning System Based on Multimodal Affect Recognition for Learners with Intellectual Disabilities
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Standen, Penelope J.; Brown, David J.; Taheri, Mohammad; Galvez Trigo, Maria J.; Boulton, Helen; Burton, Andrew; Hallewell, Madeline J.; Lathe, James G.; Shopland, Nicholas; Blanco Gonzalez, Maria A.; Kwiatkowska, Gosia M.; Milli, Elena; Cobello, Stefano; Mazzucato, Annaleda; Traversi, Marco; Hortal, Enrique – British Journal of Educational Technology, 2020
Artificial intelligence tools for education (AIEd) have been used to automate the provision of learning support to mainstream learners. One of the most innovative approaches in this field is the use of data and machine learning for the detection of a student's affective state, to move them out of negative states that inhibit learning, into…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Identification
Disabled Children's Evolving Digital Use Practices to Support Formal Learning. A Missed Opportunity for Inclusion
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Cranmer, Sue – British Journal of Educational Technology, 2020
This paper takes an interdisciplinary approach combining digital education with disability theory to investigate disabled children's digital use practices for formal learning. Evidence suggests that children's lives have been transformed through engagement with digital technologies, eg, computers, laptops and mobile devices. Even so, empirical…
Descriptors: Students with Disabilities, Inclusion, Visual Impairments, Educational Technology