Special educators’ experiences of a numeracy intervention for autistic students

Alallawi, Barah; Denne, Louise D.; Apanasionok, Magdalena M.; Grindle, Corinna F.; Hastings, Richard P.

doi:10.1080/08856257.2021.1989128

Cited by 3 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Students take this simple examination to determine their fitness to continue in higher-level education studies. It includes a set of questions or exercises evaluating skill or knowledge based on a scientific standard that can identify the real learning abilities of each learner [ 14 – 16 ]. Specifically, the preliminary test includes psychometric questionnaires and the purpose is to detect misunderstandings, ambiguities, disabilities, or other learning difficulties that may have the students.…”

Section: Methodsmentioning

confidence: 99%

Recommendation System for Privacy-Preserving Education Technologies

Yin

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

Considering the priority for personalized and fully customized learning systems, the innovative computational intelligent systems for personalized educational technologies are the timeliest research area. Since the machine learning models reflect the data over which they were trained, data that have privacy and other sensitivities associated with the education abilities of learners, which can be vulnerable. This work proposes a recommendation system for privacy-preserving education technologies that uses machine learning and differential privacy to overcome this issue. Specifically, each student is automatically classified on their skills in a category using a directed acyclic graph method. In the next step, the model uses differential privacy which is the technology that enables a facility for the purpose of obtaining useful information from databases containing individuals’ personal information without divulging sensitive identification about each individual. In addition, an intelligent recommendation mechanism based on collaborative filtering offers personalized real-time data for the users’ privacy.

show abstract

Section: Methodsmentioning

confidence: 99%

Recommendation System for Privacy-Preserving Education Technologies

Yin

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…paraprofessionals) who might be responsible for teaching TEN-DD to students. In a qualitative study evaluating teachers’ experiences of delivering TEN-DD, teaching staff stated that they found the lesson plans describing systematic teaching methods clear and easy to follow (Alallawi et al. , 2022a).…”

Section: Teaching Early Numeracy To Children With Developmental Disab...mentioning

confidence: 99%

“…All students improved their Test of Early Mathematics Ability 3 rd edition (TEMA-3; Ginsburg and Baroody, 2003) raw scores at the post-test, with a large group effect size pre–post, and 14 individual students’ MA scores also improved. Teaching staff noted positive changes in their confidence levels and professional development (Alallawi et al. , 2022a).…”

Section: Teaching Early Numeracy To Children With Developmental Disab...mentioning

confidence: 99%

Overcoming implementation challenges through using a train-the-trainer approach to teach numeracy in a special school setting

Reardon,

Apanasionok,

Grindle

2024

TLDR

View full text Add to dashboard Cite

Purpose There is a sparsity of research that considers how to overcome implementation challenges for interventions in special school settings where specialist teaching methods are involved. Successful implementation has often relied on considerable researcher involvement, making them inaccessible and not sustainable for the majority of special schools. The purpose of this study was to implementa train-the-trainer approach to train teaching staff to use the Teaching Early Numeracy to Children with Developmental Disabilities (TEN-DD) programme in a large special school in the UK, thereby significantly reducing researcher involvement in its implementation. Design/methodology/approach One staff member was trained to become the school lead for TEN-DD and trained other teaching staff in the school on implementation. This study recruited 13 students aged between 12 and 16 years of age with developmental disabilities to receive TEN-DD. Pre- and post-intervention tests on a standardised numeracy measure were conducted. Findings A train-the-trainer model was developed and successfully delivered to train teaching staff in TEN-DD. A standardised outcome measure indicated that ten students made improvements to their numeracy skills after teachers trained using this approach delivered TEN-DD for between 3 and 10 months. Originality/value Very little research has been carried out to better understand methods for overcoming implementation challenges for delivering evidence-based teaching programmes at scale to students with developmental disabilities who attend special schools. To the best of the authors’ knowledge, this study reports the results of the first evaluation of using a train-the-trainer model for the delivery of a numeracy intervention (TEN-DD), whereby there was no involvement of researchers in implementation beyond the initial training of the school lead. This model of training for interventions may be more sustainable for special schools and help improve the uptake of evidence-based interventions.

show abstract

Secure Preschool Education Using Machine Learning and Metaverse Technologies

Zhang¹

2023

Applied Artificial Intelligence

View full text Add to dashboard Cite

Special educators’ experiences of a numeracy intervention for autistic students

Cited by 3 publications

References 23 publications

Recommendation System for Privacy-Preserving Education Technologies

Recommendation System for Privacy-Preserving Education Technologies

Overcoming implementation challenges through using a train-the-trainer approach to teach numeracy in a special school setting

Secure Preschool Education Using Machine Learning and Metaverse Technologies

Contact Info

Product

Resources

About