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Professor Steven Higgins' Outputs (150)

Application of Bayesian Posterior Probabilistic Inference in Educational Trials (2020)
Journal Article
Uwimpuhwe, G., Singh, A., Higgins, S., & Kasim, A. (online). Application of Bayesian Posterior Probabilistic Inference in Educational Trials. International Journal of Research & Method in Education, 44(5), 533-554. https://doi.org/10.1080/1743727X.2020.1856067

Educational researchers advocate the use of an effect size and its confidence interval to assess the effectiveness of interventions instead of relying on a p-value, which has been blamed for lack of reproducibility of research findings and the misuse... Read More about Application of Bayesian Posterior Probabilistic Inference in Educational Trials.

Application of Bayesian posterior probabilistic inference in educational trials (2020)
Journal Article
Uwimpuhwe, G., Singh, A., Higgins, S., & Kasim, A. (2021). Application of Bayesian posterior probabilistic inference in educational trials. International Journal of Research & Method in Education, 44(5), 533-554. https://doi.org/10.1080/1743727X.2020.1856067

Educational researchers advocate the use of an effect size and its confidence interval to assess the effectiveness of interventions instead of relying on a p-value, which has been blamed for lack of reproducibility of research findings and the misuse... Read More about Application of Bayesian posterior probabilistic inference in educational trials.

Using working memory performance to predict mathematics performance 2 years on (2020)
Journal Article
Allen, K., Giofrè, D., Higgins, S., & Adams, J. (2020). Using working memory performance to predict mathematics performance 2 years on. Psychological Research, 85(5), 1986-1996. https://doi.org/10.1007/s00426-020-01382-5

A number of previous studies have used working memory components to predict mathematical performance in a variety of ways; however, there is no consideration of the contributions of the subcomponents of visuospatial working memory to this prediction.... Read More about Using working memory performance to predict mathematics performance 2 years on.

Latent Class Evaluation in Educational Trials: What Percentage of Children Benefits from an Intervention? (2020)
Journal Article
Uwimpuhwe, G., Singh, A., Higgins, S., Coux, M., Xiao, Z., Shkedy, Z., & Kasim, A. (2022). Latent Class Evaluation in Educational Trials: What Percentage of Children Benefits from an Intervention?. The Journal of Experimental Education, 90(2), 404-418. https://doi.org/10.1080/00220973.2020.1767021

Educational stakeholders are keen to know the magnitude and importance of different interventions. However, the way evidence is communicated to support understanding of the effectiveness of an intervention is controversial. Typically studies in educa... Read More about Latent Class Evaluation in Educational Trials: What Percentage of Children Benefits from an Intervention?.

Children and young people’s concerns and needs relating to their use of health technology to self-manage long-term conditions: a scoping review (2020)
Journal Article
Blower, S., Swallow, V., Maturana, C., Stones, S., Phillips, R., Dimitri, P., Marshman, Z., Knapp, P., Dean, A., Higgins, S., Kellar, I., Curtis, P., Mills, N., & Martin-Kerry, J. (2020). Children and young people’s concerns and needs relating to their use of health technology to self-manage long-term conditions: a scoping review. Archives of Disease in Childhood, 105(11), 1093-1104. https://doi.org/10.1136/archdischild-2020-319103

Background: The use of patient-facing health technologies to manage long-term conditions is increasing; however, children and young people may have particular concerns or needs before deciding to use different health technologies. Aims: To identify c... Read More about Children and young people’s concerns and needs relating to their use of health technology to self-manage long-term conditions: a scoping review.

Translating laboratory evidence into classroom practice with teacher-led randomised controlled trials - a perspective and meta-analysis (2020)
Journal Article
Churches, R., Dommett, E., Devonshire, I., Hall, R., Higgins, S., & Korin, A. (2020). Translating laboratory evidence into classroom practice with teacher-led randomised controlled trials - a perspective and meta-analysis. Mind, Brain, and Education, 14(3), 292-302. https://doi.org/10.1111/mbe.12243

We initiated and structured a single program that supervised teachers, some with neuroscience or psychology degrees, to collaborate and explore the effects of science of learning‐translated pedagogy. This article reports on the 34 findings from teach... Read More about Translating laboratory evidence into classroom practice with teacher-led randomised controlled trials - a perspective and meta-analysis.

Working memory predictors of mathematics across the middle primary school years (2020)
Journal Article
Allen, K., Giofrè, D., Higgins, S., & Adams, J. (2020). Working memory predictors of mathematics across the middle primary school years. British Journal of Educational Psychology, 90(3), 848-869. https://doi.org/10.1111/bjep.12339

Background: Work surrounding the relationship between visuospatial working memory (WM) and mathematics performance is gaining significant traction as a result of a focus on improving academic attainment. Aims: This study examined the relative contrib... Read More about Working memory predictors of mathematics across the middle primary school years.

Working Memory Predictors of Written Mathematics in 7-8 Year Old Children (2019)
Journal Article
Allen, K., Giofrè, D., Higgins, S., & Adams, J. (2020). Working Memory Predictors of Written Mathematics in 7-8 Year Old Children. Quarterly Journal of Experimental Psychology, 73(2), 239-248. https://doi.org/10.1177/1747021819871243

There is extensive evidence for the involvement of working memory in mathematical attainment. This study aims to identify the relative contributions of verbal, spatial-simultaneous, and spatial-sequential working memory measures in written mathematic... Read More about Working Memory Predictors of Written Mathematics in 7-8 Year Old Children.

Embedding educational technologies in early years education (2019)
Journal Article
Jack, C., & Higgins, S. (2019). Embedding educational technologies in early years education. Research in Learning Technology, 27, Article 2033. https://doi.org/10.25304/rlt.v27.2033

This survey of 335 practitioners builds on research which challenged the view that educational technologies are rarely used in early years settings. Previous research tends to focus on individual devices. This research looks at the range of devices b... Read More about Embedding educational technologies in early years education.

Supporting children and young people when making decisions about joining clinical trials: qualitative study to inform multimedia website development (2019)
Journal Article
Martin-Kerry, J. M., Knapp, P., Atkin, K., Bower, P., Watt, I., Stones, C., Higgins, S., Sheridan, R., Preston, J., Horton Taylor, D., Baines, P., & Young, B. (2019). Supporting children and young people when making decisions about joining clinical trials: qualitative study to inform multimedia website development. BMJ Open, 9(1), bmjopen-2018-023984. https://doi.org/10.1136/bmjopen-2018-023984

Objectives: To understand stakeholders’ views regarding the content and design of paediatric clinical trial multimedia websites. To describe how this knowledge informed the development of the multimedia websites. Design: Qualitative study comprising... Read More about Supporting children and young people when making decisions about joining clinical trials: qualitative study to inform multimedia website development.

User testing digital, multimedia information to inform children, adolescents and their parents about healthcare trials (2018)
Journal Article
Sheridan, R., Martin-Kerry, J., Watt, I., Higgins, S., Stones, S., Horton-Taylor, D., & Knapp, P. (2019). User testing digital, multimedia information to inform children, adolescents and their parents about healthcare trials. Journal of Child Health Care, 23(3), 468-482. https://doi.org/10.1177/1367493518807325

Digital, multimedia information resources (MMIs) containing text, video, animation and pictures are a promising alternative to written participant information materials designed to inform children, adolescents and parents about healthcare trials, but... Read More about User testing digital, multimedia information to inform children, adolescents and their parents about healthcare trials.

What is educational technology and how is it being used to support teaching and learning in the early years? (2018)
Journal Article
Jack, C., & Higgins, S. (2019). What is educational technology and how is it being used to support teaching and learning in the early years?. International Journal of Early Years Education, 27(3), 222-237. https://doi.org/10.1080/09669760.2018.1504754

There are many digital technologies available to support teaching and learning. Historically the focus has tended to be on computers, but this has extended to include interactive whiteboards and tablets. As well as these technologies, which were orig... Read More about What is educational technology and how is it being used to support teaching and learning in the early years?.

Phonics: reading policy and the evidence of effectiveness from a systematic ‘tertiary’ review (2018)
Journal Article
Torgerson, C., Brooks, G., Gascoine, L., & Higgins, S. (2019). Phonics: reading policy and the evidence of effectiveness from a systematic ‘tertiary’ review. Research Papers in Education, 34(2), 208-238. https://doi.org/10.1080/02671522.2017.1420816

Ten years after publication of two reviews of the evidence on phonics, a number of British policy initiatives have firmly embedded phonics in the curriculum for early reading development. However, uncertainty about the most effective approaches to te... Read More about Phonics: reading policy and the evidence of effectiveness from a systematic ‘tertiary’ review.

The power of noise and the art of prediction (2017)
Journal Article
Xiao, Z., & Higgins, S. (2018). The power of noise and the art of prediction. International Journal of Educational Research, 87, 36-46. https://doi.org/10.1016/j.ijer.2017.10.006

Data analysis usually aims to identify a particular signal, such as an intervention effect. Conventional analyses often assume a specific data generation process, which implies a theoretical model that best fits the data. Machine learning techniques... Read More about The power of noise and the art of prediction.

An Empirical Unravelling of Lord’s Paradox (2017)
Journal Article
Xiao, Z., Higgins, S., & Kasim, A. (2019). An Empirical Unravelling of Lord’s Paradox. The Journal of Experimental Education, 87(1), 17-32. https://doi.org/10.1080/00220973.2017.1380591

Lord's Paradox occurs when a continuous covariate is statistically controlled for and the relationship between a continuous outcome and group status indicator changes in both magnitude and direction. This phenomenon poses a challenge to the notion of... Read More about An Empirical Unravelling of Lord’s Paradox.

What does learning look like? Using cartoon story boards to investigate student perceptions (from 4 to 15) of learning something new (2017)
Book Chapter
Wall, K., Higgins, S., Hall, E., & Gascoine, L. (2017). What does learning look like? Using cartoon story boards to investigate student perceptions (from 4 to 15) of learning something new. In M. Emme, & A. Kirova (Eds.), Good question : arts-based approaches to collaborative research with children and youth (211-227). The Canadian Society for Education through Art