Mariola Moeyaert

Associate Professor

University at Albany, State University of New York

United States

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About

Mariola Moeyaert is an Associate Professor at the University at Albany, State University of New York. Her research focuses on the effectiveness of interventions for individuals with autism and disabilities, as well as the impact of mobile multitasking on learning outcomes. Recent articles include systematic reviews and meta-analyses addressing single-case experimental design studies and strategies for promoting self-regulation in preschool settings.

Articles (11)

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2022

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2021

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2021

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2021

Collaborators (9)

Kat Steiner

University of Oxford

UNITED KINGDOM

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Karolina Urton

Prof. Dr.

University of Münster

GERMANY

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Rahel Warnatsch

Graduate Research Assistant for Prof. Parish

Inland Norway University of Applied Sciences

NORWAY

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Elie ChingYen Yu

University at Albany, State University of New York

UNITED STATES

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Don McMahon

Assistant Professor of Special Educatoin

Washington State University

UNITED STATES

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Zheng Yan

Professor

University at Albany, State University of New York

UNITED STATES

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Kyung Hyun Park

UNITED STATES

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Rumen Manolov

Profesor agregado interino

University of Barcelona

SPAIN

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Matthias Grünke

University of Cologne

GERMANY

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Mariola Moeyaert

Research Interests

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Articles (11)

Mobile multitasking in learning: A meta-analysis of effects of mobilephone distraction on young adults’ immediate recall

The effectiveness of augmented reality‐based interventions for individuals with autism and/or intellectual and developmental disabilities: A Bayesian three‐level meta‐analysis of single‐case experimental design data

Effects of Graphic Organizers on Outcomes for Students with Disabilities: Three-Level Meta-Analysis of Single-Case Studies

PROTOCOL: Key characteristics of effective preschool‐based interventions to promote self‐regulation: A systematic review and meta‐analysis

Systematic Review of Descriptions and Justifications Provided for Single-Case Quantification Techniques

Characteristics of Moderators in Meta-Analyses of Single-Case Experimental Design Studies

Evaluating the design and evidence of single-case experimental designs using the What Works Clearinghouse standards

The Power to Explain Variability in Intervention Effectiveness in Single-Case Research Using Hierarchical Linear Modeling

Assessing generalizability and variability of single-case design effect sizes using two-stage multilevel modeling including moderators

Multilevel meta-analysis of the effectiveness of self-regulated strategy development in writing for children with ASD

SCD‐MVA : A mobile application for conducting single‐case experimental design research during the pandemic

Collaborators (9)

Kat Steiner

Karolina Urton

Rahel Warnatsch

Elie ChingYen Yu

Don McMahon

Zheng Yan

Kyung Hyun Park

Rumen Manolov

Matthias Grünke

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