A Pilot Study Investigating the Use of Mobile Technology for Coordinating Educational Plans in Inclusive Settings

Siyam, Nur; Abdallah, Sherief

doi:10.1177/01626434211033581

Cited by 14 publications

(24 citation statements)

References 35 publications

(65 reference statements)

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“…To evaluate the proposed model, we deployed a mobile app that can be used by caregivers. This mobile app has been developed and tested in our previous study as an app that facilitates communication and coordination between different parties involved in the therapy and learning of students with ASD [ 62 ]. In this study, we added to the mobile app the feature of selecting a motivator.…”

Section: Methodsmentioning

confidence: 99%

“…The mobile app, “IEP-Connect,” was developed to enable information sharing between different parties involved in the intervention of special education needs and disabilities (SEND) students. IEP-Connect uses the individualized educational plan (IEP) as the main point of coordination [ 62 ]. The app allows teachers, therapists and parents to record details of daily sessions and classes regarding students’ progress toward the IEP goals, including behavior monitoring data and motivators used.…”

Section: Introductionmentioning

confidence: 99%

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Toward automatic motivator selection for autism behavior intervention therapy

Siyam

Abdallah²

2022

Univ Access Inf Soc

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Children with autism spectrum disorder (ASD) usually show little interest in academic activities and may display disruptive behavior when presented with assignments. Research indicates that incorporating motivational variables during interventions results in improvements in behavior and academic performance. However, the impact of such motivational variables varies between children. In this paper, we aim to address the problem of selecting the right motivator for children with ASD using reinforcement learning by adapting to the most influential factors impacting the effectiveness of the contingent motivator used. We model the task of selecting a motivator as a Markov decision process problem. The states, actions and rewards design consider the factors that impact the effectiveness of a motivator based on applied behavior analysis as well as learners’ individual preferences. We use a Q-learning algorithm to solve the modeled problem. Our proposed solution is then implemented as a mobile application developed for special education plans coordination. To evaluate the motivator selection feature, we conduct a study involving a group of teachers and therapists and assess how the added feature aids the participants in their decision-making process of selecting a motivator. Preliminary results indicated that the motivator selection feature improved the usability of the mobile app. Analysis of the algorithm performance showed promising results and indicated improvement of the recommendations over time.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Toward automatic motivator selection for autism behavior intervention therapy

Siyam

Abdallah²

2022

Univ Access Inf Soc

Self Cite

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“…To evaluate the proposed model, we deployed a mobile app that can be used by caregivers. This mobile app has been developed and tested in our previous study as an app that facilitates communication and coordination between different parties involved in the therapy and learning of students with ASD (Siyam & Abdallah, 2021). In this study, we added to the mobile app the feature of selecting a motivator.…”

Section: Methodsmentioning

confidence: 99%

“…The mobile app, "IEP-Connect", was developed to enable information sharing between different parties involved in the intervention of special education needs and disabilities (SEND) students. IEP-Connect uses the Individualized Educational Plan (IEP) as the main point of coordination (Siyam & Abdallah, 2021). The app allows teachers, therapists and parents to record details of daily sessions and classes regarding students' progress towards the IEP goals, including behavior monitoring data and motivators used.…”

Section: Introductionmentioning

confidence: 99%

“…Once the response is entered, the app takes the user back to the "Motivator Suggestion" screen (Fig3(a)) to record a new behaviour, choose another student, or exit the app. We then administered the System Usability Scale (SUS) again, and compared the results to the SUS score previously obtained to answer the rst research question(Siyam & Abdallah, 2021). To evaluate the performance of the Q-Learning algorithm, we rst applied the Chi-square test to answer the second research question.…”

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confidence: 99%

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Towards Automatic Motivator Selection for Autism Behavior Intervention Therapy

Siyam

Abdallah

2021

Preprint

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Children with autism spectrum disorder (ASD) usually show little interest in academic activities and may display disruptive behavior when presented with assignments. Research indicates that incorporating motivational variables during interventions results in improvements in behavior and academic performance. However, the impact of such motivational variables varies between children. In this paper, we aim to solve the problem of selecting the right motivator for children with ASD using Reinforcement Learning by adapting to the most influential factors impacting the effectiveness of the contingent motivator used. We model the task of selecting a motivator as a Markov Decision Process problem. The states, actions and rewards design consider the factors that impact the effectiveness of a motivator based on Applied Behavior Analysis as well as learners’ individual preferences. We use a Q-Learning algorithm to solve the modelled problem. Our proposed solution is then implemented as a mobile application developed for special education plans coordination. To evaluate the motivator selection feature, we conduct a study involving a group of teachers and therapists and assess how the added feature aids the participants in their decision-making process of selecting a motivator. Preliminary results indicated that the motivator selection feature improved the usability of the mobile app. Analysis of the algorithm performance showed promising results and indicated improvement of the recommendations over time.

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Understanding the integration of accessibility requirements in the development process of information systems: a systematic literature review

Teixeira,

Eusébio,

Teixeira

2024

Requirements Eng

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People with disabilities (PwD) are frequently excluded from certain activities due to the lack of accessible information. In this area, information systems can help PwD by allowing access to a range of information about the accessibility of spaces, facilities, and products. There has been an increase in technologies that promote accessibility, but there are few literature studies which analyse how these technologies were developed to ensure access for all. To address this gap, this study aims to explore the integration of accessibility requirements in the processes of developing information systems. To achieve this aim, a systematic literature review was conducted using the PRISMA reporting guidelines. To conduct the review, a search was carried out for primary studies in four well-established databases—SCOPUS, Web of Science, IEEE, and ACM. A snowball search to find additional studies was also performed. Based on this, 34 papers were obtained to conduct the study. In general, the studies published on this topic are relatively recent, with healthcare and education being the two major areas where accessibility in information systems is most addressed. The integration of accessibility seems to be primarily applied during the requirement assessment and testing phases, involving potential users in the process. The results obtained within this systematic literature review raise awareness about the integration of accessibility for the success of solutions, which are oriented towards the accessible market. Additionally, the different practical and theoretical contributions can help future practitioners and technology developers establish guidelines that promote the integration of accessibility, thus achieving a more accessible and inclusive society.

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A Pilot Study Investigating the Use of Mobile Technology for Coordinating Educational Plans in Inclusive Settings

Cited by 14 publications

References 35 publications

Toward automatic motivator selection for autism behavior intervention therapy

Toward automatic motivator selection for autism behavior intervention therapy

Towards Automatic Motivator Selection for Autism Behavior Intervention Therapy

Understanding the integration of accessibility requirements in the development process of information systems: a systematic literature review

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