Peng Peng
· Associate ProfessorVerifiedUniversity of Texas at Austin · Special Education
Active 2008–2026
About
Dr. Peng Peng is an Associate Professor in the Department of Special Education at the University of Texas at Austin. His research focuses on the intersection of cognitive psychology and special education, aiming to understand the development of learners by investigating the bidirectional relationship between fundamental cognitive skills—such as working memory and executive function—and academic performance. His work particularly emphasizes students at risk for learning difficulties, analyzing how domain-specific cognitive abilities are applied in subjects like reading and math. Dr. Peng integrates cognitive, social-emotional, and academic factors in his current projects, exploring interventions that combine growth mindset, working memory, and word-problem solving skills to support students with mathematics difficulties and anxiety. He employs advanced meta-analytic methods, including multi-level meta-analysis, network meta-analysis, and meta-analytic structural equation modeling, to synthesize research findings on reading and mathematics learning. His research aims to identify mechanisms linking general cognition and learning across development and to determine optimal intervention strategies for at-risk learners. Dr. Peng's contributions are recognized through funding from national organizations such as the Institute of Education Sciences and the National Science Foundation, and he has an extensive publication record in leading journals. He is also dedicated to scholarly dissemination, serving as an Associate Editor for Psychological Bulletin, Reading and Writing, and Learning and Individual Differences, and participating on editorial boards for several top-tier journals in his field.
Research topics
- Social psychology
- Psychology
- Computer Science
- Developmental psychology
- Cognitive psychology
- Mathematics education
Selected publications
Behavioral attention and academic achievement: a comprehensive meta-analysis
Child Neuropsychology · 2026-03-15
article< .01, 95% CI [-.17, -.04]. Overall, this meta-analysis quantified and systematized the significant negative relation between behavioral attention and academic achievement using scientifically rigorous methodology. Findings highlight the importance of ratings specifically of inattention, particularly by teachers, for academic achievement.
Teachers’ Knowledge of Language and Literacy Concepts: A Meta-Analysis
Educational Psychology Review · 2026-03-19
articleThe Effectiveness of Unimodal and Multimodal Warnings on Drivers’ Response Time: A Meta-Analysis
Applied Sciences · 2025-01-08 · 9 citations
articleOpen accessDriving warning systems are of great help in notifying emergencies. Based on the results of former studies as well as the multisensory integration effect (MIE), the current meta-analysis investigated the effectiveness of utilizing unimodal (i.e., auditory, visual, and tactile) and multimodal (i.e., bimodal and trimodal) driving warning systems in drivers’ response time. Sixty eligible articles representing 308 individual studies were included in this meta-analysis. The results showed: First, both auditory warnings (pooled Hedges’ g = 0.98, 95% CI: 0.34 to 1.61, p < 0.01) and tactile warnings (pooled Hedges’ g = 0.77, 95% CI: 0.22 to 1.32, p < 0.01) were found to reduce the response time significantly compared to no warning, but visual warnings did not produce significant benefit; Second, tactile warnings outperformed the visual warnings (pooled Hedges’ g = 0.74, 95% CI: 0.11 to 1.37, p < 0.05); Third, auditory-tactile bimodal warnings surpassed unimodal warnings (p < 0.05); Fourth, drivers’ response time under trimodal warning conditions were shorter than that under bimodal warning conditions but not in a significant level. Overall, the results support multisensory redundant signal effect hypothesis in multimodal conditions. Current study provides a quantitative understanding of the effectiveness of driving warnings and could contribute to the design of related technologies.
Reading and Writing · 2025-01-24 · 10 citations
articleOpen accessAbstract Phonological awareness (PA), rapid automatized naming (RAN), and verbal short-term memory (VSTM) deficits have been identified as risk factors for developmental dyslexia (DD) of alphabetic orthographies. Yet, these three facets of phonological skills in DD of Chinese, a logographic writing system, have rarely been investigated together. The present study aimed to investigate PA, RAN, and VSTM deficits in Chinese children with DD. We compared 128 third and fourth grade Mandarin-speaking Chinese children with DD aged between 8 and 11 years (mean age = 9.4 years, 73 male) and 135 age-matched controls on 7 phonological tasks, including 2 PA tasks (phoneme deletion and onset/rime deletion), 3 RAN tasks (digit, object, and color), and 2 VSTM task (spoonerism and digit span). A combination of logistic regression analysis and a machine learning approach with SHapley Additive exPlanations (SHAP) methods was employed for data analyses. Logistic regression analysis showed that similar to the results from DD in six European languages by Landerl and Ramus et al. (2013), phoneme deletion and RAN digits played major roles in predicting Chinese DD, while digit span played a minor role. SHAP analysis revealed that the most effective predictor tasks for Chinese DD are RAN pictures, phoneme deletion, and spoonerism. The results suggest important roles of RAN and PA and a minor role of VSTM in predicting Chinese DD. Findings have important implications for the diagnosis and remediation of Chinese DD.
Educational Psychology Review · 2025-08-22 · 1 citations
article1st authorCorrespondingEuropean Journal of Neuroscience · 2025-08-01 · 1 citations
articleThe multi-feature paradigm, despite its growing use in studies on MMN (mismatch negativity), faces challenges in broader adoption due to doubts about its efficacy compared to the oddball paradigm. More studies are needed to determine whether the multi-feature paradigm is sensitive to capture the MMN under complex auditory conditions, particularly in tonal languages like Mandarin. In the present study, Mandarin syllables were used as stimuli to examine differences in event-related potentials (ERPs) between the two paradigms. Our findings indicate that both vowel and tone deviations elicited similar ERPs in both paradigms, thereby supporting the validity of the multi-feature paradigm. However, the MMNs elicited by vowels and tones in the multi-feature paradigm were smaller in amplitude and occurred earlier in latency. Furthermore, our findings revealed a distinct temporal course for processing consonants, vowels, and tones, with vowels eliciting the earliest latencies, followed by tones, and consonants demonstrating the longest latencies. These findings provide further evidence for the multi-feature paradigm to be used in MMN research.
Educational Psychology Review · 2025-08-11 · 3 citations
review1st authorCorrespondingJournal of Higher Education Research · 2025-03-22
articleOpen accessSenior authorAgainst the backdrop of the rapid development of digital and intelligent technologies today, local universities' civil engineering majors are facing new opportunities and challenges. In order to meet the needs of the times and cultivate high-quality and innovative civil engineering talents, Hunan University of Arts and Science actively explores the undergraduate talent training mode of "IISP" (Ideological and Political Education Integration, Interdisciplinary Integration, Specialized Education and Entrepreneurship Integration, Post Linkage) driven by digital and intelligent technologies. This paper deeply analyzes the connotations and significance of this mode, elaborates in detail on its specific implementation strategies, including the specific paths of ideological and political education integration, curriculum setting and teaching methods of interdisciplinary integration, construction of the practice system of specialized education and entrepreneurship integration, and specific measures of post linkage. Taking the practice of Hunan University of Arts and Science as an example, through specific teaching cases, it explores the achievements, existing problems and corresponding improvement strategies in the implementation process of this mode, aiming to provide useful references for the talent training of civil engineering majors in local universities.
Journal of Educational Psychology · 2025-01-06 · 25 citations
articleOpen accessDevelopmental Psychology · 2025-09-08 · 2 citations
articleOpen access1st authorCorrespondingThis study examined the role of domain-specific working memory and emotion regulation in the relation between mathematics anxiety and mathematics performance among 264 upper elementary students (Grades 3-5). Participants completed measures of mathematics testing and learning anxiety, verbal and numerical working memory, cognitive reappraisal, expressive suppression, general anxiety, mathematics self-efficacy, and calculation. Results showed that verbal working memory, but not numerical working memory, mediated the relation between mathematics testing anxiety and calculation. Higher verbal working memory exacerbated the negative effects of both mathematics testing and learning anxiety on calculation. Higher cognitive reappraisal exacerbated the negative effects of mathematics testing anxiety on calculation. These findings suggest that mathematics anxiety hinders calculation not by disrupting numerical processing but through verbal rumination and verbal information processing, especially in children with strong verbal working memory. For children who are still developing emotion regulation and foundational mathematics, cognitive reappraisal, a typically adaptive emotion regulation strategy, may paradoxically increase cognitive load, intensifying the adverse effects of mathematics anxiety during testing. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
Recent grants
Project AIM: The Network Meta-analysis of Active Ingredients of Mathematics Instruction
NSF · $598k · 2024–2027
Frequent coauthors
- 16 shared
Hui Cai
Vanderbilt University Medical Center
- 16 shared
Ping‐Ping Bao
- 16 shared
Wei Lu
- 16 shared
Xiao‐Ou Shu
- 16 shared
Ying Zheng
Shanghai Medical College of Fudan University
- 16 shared
Genming Zhao
Fudan University
- 12 shared
Sha Tao
China Agricultural University
- 11 shared
Douglas Fuchs
Vanderbilt University
Labs
Education
- 2014
Ph.D. in Special Education, Department of Special Education
Vanderbilt University Peabody College of Education and Human Development
- 2009
Master in Educational and Developmental Psychology, State Key Lab of Neuroscience and Learning
Beijing Normal University
- 2006
Bachelor in Psychology
Beijing Normal University School of Psychology
Awards & honors
- 2018 Early Career Award from the International Dyslexia Asso…
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