Determining needs and priorities of learners with special needs for support services in an open and distance learning context in Turkey

This study aims to identify needs and priorities of learners with special needs for support services in an open and distance teaching university in Turkey based on disability type. Exploratory sequential design was adopted. In the qualitative phase, semi-structured interviews were performed with six individuals from each group, including hearing impairment, visual impairment, and physical disability to determine the needs of the learners. Data were coded based on a thematic framework involving managerial, pedagogical, social, and technical support. To determine the priorities of the learners with special needs for support services in the quantitative phase, surveys were developed separately for three groups with disabilities based on the qualitative findings. A total of 703 learners took part in the surveys. The quantitative data were analyzed using descriptive statistics. Findings of the study revealed that learners with special needs require a wide variety of services regarding managerial, pedagogical, social, technical and vocational support. Existing support systems need to be improved and awareness for these systems should be increased to make services more inclusive

Supporting Inclusive Learning Using Chatbots? A Chatbot-Led Interview Study

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 opportunities for assisting learning for different types of students. This research aims at investigating the opportunities and requirements of chatbots as an intelligent helper to facilitate equity in learning. We developed a chatbot as an experimental platform to investigate the design opportunities of using chatbots to support inclusive learning. Through a chatbot-led user study with 215 undergraduate students, we found chatbots provide the opportunity to support students who are disadvantaged, with diverse life environments, and with varied learning styles. This could be achieved through an accessible, interactive, and confidential way

Personalised presentation of mathematics for visually impaired or dyslexic students: challenges and benefits

Artificial Intelligence in Education (AIEd) has the potential to transform learning by providing personalised and adaptive environments and enabling more effective assessment and feedback (Luckin et al., 2016). Implementing AIEd has different challenges involving accommodating different learning styles, understanding how learners interact with tools, creating accessible technology for students with learning or sensory disabilities, and managing cognitive load and stress. The potential benefits of using AIEd for the personalised presentation supports inclusive learning environments, including improved understanding, accessibility to learning (Costas-Jauregui et al., 2021), reduced stress (Hsu et al., 2021), and cognitive load (Turan & Goktas, 2016), to improve mathematical understanding and student confidence. Neto et al. (2021) argue that the opportunity to utilise robots to enhance inclusive classroom experiences lies in their ability to utilise their physical attributes, multimodal feedback systems, customised social behaviours, and sensory functions. The potential benefits promote the development of inclusive and intelligent educational frameworks. In this paper, the authors examine the potential of using AIEd combined with robotics to provide a personalised learning framework for students with learning disabilities (e.g., dyslexia) and sensory disabilities (e.g., vision impairment/blindness). The paper will assess the challenges and benefits of the AIEd framework combined with robotics for inclusive mathematics education