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Roman FeimanView profile

Assistant Professor

• Cognitive Development
• Cognitive Psychology
• Cognitive Science
• +3 more

Roman Feiman is the Thomas J. and Alice M. Tisch Assistant Professor of Cognitive, Linguistic, and Psychological Sciences and an Assistant Professor of Linguistics at Brown University. He directs the Brown Language and Thought Lab, focusing on how humans combine words into meaningful sentences and develop logical reasoning abilities. His research integrates methods from cognitive developmental psychology, psycholinguistics, and formal semantics. Feiman holds a PhD in Psychology from Harvard University (2015), followed by postdoctoral training at Harvard and UC San Diego. His work explores the cognitive systems underlying language and thought, including negation comprehension, quantifier scope, and the development of exact equality concepts. He teaches courses such as Language Processing in Humans and Machines and Logic in Language and Thought . His research interests span cognitive development, linguistic pragmatics, and the language of thought hypothesis. Notable findings include studies on children’s understanding of negation and how logical principles shape early language acquisition. Feiman has been recognized with the 2023 Henry Merritt Wriston Fellowship. His lab investigates topics like word referencing, semantic development, and the interplay between language and nonverbal reasoning. Recent work examines how neural networks might model human cognitive processes, bridging AI and psychological theory.

Svitlana RogovchenkoView profile

Professor

• Differential Equations
• Impulsive Differential Equations
• Asymptotic Methods in Nonlinear Mechanics
• +3 more

Svitlana Rogovchenko is a Professor at the Department of Engineering Sciences, University of Agder, Norway. Her academic work bridges pure mathematical research in differential equations with innovative pedagogical approaches in engineering and interdisciplinary education. Educational Background: Doctor of Philosophy in Differential Equations (1988), Institute of Mathematics, National Academy of Sciences, Kyiv, Ukraine Master of Science in Mathematics (1983), Kyiv State University, Ukraine Research Interests: Qualitative theory of ordinary and impulsive differential equations, asymptotic methods in nonlinear mechanics, mathematical modeling, and the intersection of mathematics education with engineering and biology curricula. She focuses on conceptual understanding, pedagogical challenges, and commognitive conflicts in learning differential equations. Recent Publications Trends: Her work spans mathematical modeling of vehicle crashworthiness, interdisciplinary education for biologists and engineers, and pedagogical innovations in ordinary differential equations. Articles emphasize assessment design, group work tensions, and bridging mathematical theory with applied contexts.

Ann RivetView profile

Associate Professor

• Science Education
• Earth and Environmental Science Teaching and Learning
• Inquiry and Project-Based Science Learning
• +4 more

Ann Rivet is an Associate Professor of Science Education at Teachers College, Columbia University, and serves as the Associate Director of the Center for Sustainable Futures. She previously held the role of Program Officer in the Directorate for STEM Education at the National Science Foundation from 2016 to 2019. Her expertise lies in science education, particularly in Earth and environmental science, curriculum design, and urban school reform. Education: Ph.D. in Science Education, University of Michigan M.S. in Science Education (Earth Science), University of Michigan Sc.B. in Physics, Brown University Research Interests: Dr. Rivet's research focuses on how students develop deep understandings of Earth and environmental science concepts. She examines the intersections of scientific reasoning, instructional design, and assessment, primarily at the middle and secondary school levels. Her current work investigates how crosscutting scientific concepts influence students’ understanding of core disciplinary ideas, and how phenomena-based instructional approaches can support learning about large-scale Earth systems. She is actively involved in supporting the adoption and implementation of the Next Generation Science Standards (NGSS) through policy and practitioner-level initiatives, including the development of free, open-source curriculum materials for middle and high school science. Publications & Trends: Her work has been published in leading journals such as Science , the Journal of Research in Science Teaching , and the American Educational Research Journal . Her publications span topics from learning progressions in science to contextualizing instruction for urban students, reflecting a deep commitment to both theoretical and applied aspects of science education. Grants & Funding: Principal Investigator, NSF: "Collaborative Research: Bridging the Gap Between Tabletop Models and the Earth System" ($982,080) Science Team Member, GE Foundation: "Harlem Schools Partnership for Science and Math Education" ($5,000,000) Co-Principal Investigator, Carnegie Foundation: "Enhancing Teacher Preparation for Adolescent Literacy" ($100,000) Co-Principal Investigator, NSF: "GSE/RES Girls’ Science Practices in Urban High Poverty Communities" ($499,334) Principal Investigator, NSF (subaward): "Developing the Next Generation of Middle School Science Materials" ($137,198) Leadership & Outreach: Dr. Rivet has led multiple federally funded projects aimed at improving science education in urban schools. She has also contributed to national policy discussions through her role at the NSF and continues to shape science education standards and practices through her research and curriculum development efforts.

Elham KazemiView profile

Professor

• Mathematics Education
• Teacher Education
• Educational Equity
• +6 more

Elham Kazemi is a Professor of Mathematics Education at the University of Washington’s College of Education, holding the Geda and Phil Condit Endowed Chair. She specializes in elementary teacher education, instructional leadership, and equity-focused mathematics pedagogy. Her research emphasizes professional learning communities, student-centered classroom practices, and disrupting inequities in education. Education: PhD in Mathematics Education, UCLA (1999) MA in Educational Psychology, UCLA (1997) BS in Psychology (Elementary Teaching Certificate), Duke University (1992) Research Interests: Kazemi’s work focuses on equitable mathematics instruction, teacher learning, and leadership development. She designs school-wide professional development models (e.g., Math Labs) and studies classroom discourse, student disciplinary identities, and organizational learning. Key projects include the Labs Project (funded by JSMF) and RMLL (NSF-funded leader learning). Publications & Grants: Over 40 peer-reviewed articles, including work in American Educational Research Journal and Journal of Teacher Education . Co-authored influential books like Choral Counting and Counting Collections and Intentional Talk . Recipient of $5.4M+ in grants from NSF, McDonnell Foundation, and others for projects on teacher leadership and equitable instruction. Awards: 2022 AERA Open Article of the Year 2019 Outstanding Faculty Award for Educational Equity 2015 Geda & Phil Condit Professorship Advising & Leadership: Kazemi co-leads initiatives like the Leading Towards Racially Just Mathematics Instruction partnership. She has supervised numerous graduate students and collaborates with schools to implement equity-driven practices. Labs & Teams: Her work includes the Labs Project (designing Learning Labs for mathematics/literacy discussions) and the Mathematics Education Project (MEP), fostering statewide collaboration among educators.

James S. KimView profile

Professor

• Early Education
• Education Policy
• Evidence-Based Intervention
• +7 more

James S. Kim is a Professor of Education at Harvard University's Graduate School of Education, where he conducts policy-relevant research focused on improving literacy outcomes for low-income students and struggling readers. With an Ed.D. from Harvard University (2002), he leads the READS Lab (Research Enhances Adaptations Designed for Scale in Literacy), a research team that partners with school districts to solve literacy challenges through evidence-based interventions. Dr. Kim's research centers on understanding how building students' domain knowledge and reading engagement can foster long-term improvements in reading comprehension. His work emphasizes experimental design and evidence-based interventions, with a particular focus on addressing educational inequality. His research interests include early education, education policy, evidence-based intervention, human development, inequality and education gaps, informal and out-of-school learning, language and literacy development, and teachers and teaching. Kim's most significant contribution is the Model of Reading Engagement (MORE), a spiraled and sustained content literacy intervention co-developed with schoolteachers that has been shown to improve first to third-grade students' reading comprehension in science, English language arts, and math. Notably, research on MORE meets WWC (What Works Clearinghouse) standards without reservation, and long-term follow-up suggests the intervention's impact persists through fourth grade. His publications reveal a consistent focus on content literacy, domain knowledge development, and transfer effects in reading comprehension. Research on MORE meets WWC standards without reservation Long-term effects of MORE persist through fourth grade Commitment to Open Science principles (open data, open materials, preregistration) As a servant leader, Kim builds long-term partnerships with school districts to implement literacy interventions at scale. His READS Lab promotes open science practices while developing practical solutions to literacy challenges. His research on summer reading interventions, parental text messaging, and classroom-based content literacy approaches demonstrates his commitment to translating research into practice. Kim's current work includes scaling the MORE intervention to improve reading comprehension for high-needs students in moderate to high poverty schools through a Department of Education-funded project (2024-2028).

Daniel FrischemeierView profile

Professor

• Mathematics Education
• Statistics Education
• Data Science Education
• +5 more

Daniel Frischemeier is a Professor of Mathematics Didactics with a focus on Primary Education at the University of Münster's Faculty of Mathematics and Computer Science. He has established himself as a leading researcher in statistics and data science education for primary school students, with extensive contributions to educational methodology and teacher training. University of Münster (2021-present) TU Dortmund (2020-2021) University of Paderborn (2009-2020) Ludwig-Maximilians-Universität München (2017-2018) Dr. Frischemeier completed his doctoral studies at the University of Paderborn with a dissertation on statistical thinking and research using TinkerPlots software. His educational background includes graduate studies in Mathematics and undergraduate studies in Mathematics and Physics for teaching at various school levels. His research focuses on the design and testing of teaching-learning environments for primary mathematics education, particularly in the areas of data analysis, probability, and statistics. He conducts qualitative analysis of learners' cognitive processes related to the guiding principle of 'data and chance' in primary education. His work also includes the design and evaluation of teaching materials in data science and civil statistics, the use of learning videos to promote process-related skills, and the implementation of Fermi tasks and computer science education within primary mathematics lessons. Analysis of Dr. Frischemeier's recent publications reveals a strong emphasis on data literacy development in primary education, with increasing focus on the integration of digital tools and the conceptual understanding of data as models. His work bridges mathematics education with emerging fields of data science, addressing both theoretical frameworks and practical classroom applications. The research demonstrates a progression from basic statistical concepts toward more complex data modeling approaches suitable for young learners. Elected member of the International Statistical Institute (ISI) Chair of the Local Organizing Committees for IASE Satellite 2025 Conference Council-Member of the International Statistical Institute Special Edition Editor of the Statistics Education Research Journal Member of International Program Committees for major statistics education conferences Co-Leader of CERME Thematic Working Group 5 on Probability and Statistics Education Dr. Frischemeier serves in numerous editorial capacities and review roles for prominent journals in mathematics and statistics education. He leads significant research projects including 'Promoting Data Science Education for Teacher Education at the University level (DataSETUP)' and 'Data Science Education in STEAM for Civic Engagement and Social Justice from the Early Years (DataScEd4CiEn)'. His work has substantial impact on teacher education programs and curriculum development in statistics and data science for primary schools. He is actively involved in the development and leadership of the Math Center Münster (MaZ), which promotes mathematical potential for all students. His team includes numerous research assistants and doctoral candidates working on various aspects of mathematics education research, particularly focusing on data literacy and statistical reasoning in primary education contexts.

• Mathematics Education
• Geometry
• Pedagogy
• +2 more

Michael Weiss is a Lecturer in the Department of Mathematics at the University of Michigan. He teaches foundational courses such as Linear Algebra (MATH 217) and Explorations in Euclidean Geometry (MATH 431). His office is located in East Hall (Room 1868) at 530 Church Street, Ann Arbor, MI. Current Courses: MATH 217-004 (Linear Algebra), MATH 217-011 (Linear Algebra), MATH 431-001 (Explorations in Euclidean Geometry) Weiss’s research focuses on mathematics education, particularly on pedagogical strategies for teaching geometry and mathematical reasoning. His work explores the use of visual representations, interactive technologies, and narrative tools (e.g., comics) to enhance learning and teacher development. He emphasizes the role of theory-building in secondary geometry instruction and investigates how students translate abstract mathematical concepts into concrete reasoning. His publications highlight interdisciplinary approaches to education, integrating technology (e.g., animated stories, voice assistants) with traditional teaching methods. Keywords across his work include Mathematics Education , Geometry , Interactive Media , Visual Learning , and Teacher Training . Contact: mweiss@umich.edu

Anna ShustermanView profile

Professor

• Conceptual Development
• Language and Cognition
• Numerical Cognition
• +2 more

Anna Shusterman is a Professor in the Psychology Department at Wesleyan University, where she has taught and directed research in the Cognitive Development Laboratories since 2007. She co-founded and serves as co-chair of Wesleyan's College of Education Studies, established in 2020. Her educational background includes: Bachelor's degree in Neuroscience from Brown University Graduate studies and post-doctoral fellowship at Harvard University's Laboratory for Developmental Studies under Elizabeth Spelke and Susan Carey Dr. Shusterman's research centers on conceptual development in children, with a focus on the interplay between language and cognition in spatial and numerical domains. She investigates how language shapes children's understanding of numbers and space, and develops methodological approaches for translating developmental science into practical preschool classroom applications. Her work explores how young children perceive and learn about the world through simple, engaging games. Analysis of her recent publications (2019-2025) reveals consistent emphasis on numerical cognition, language acquisition, and spatial reasoning. Key themes include language's role in math development, early numeracy in diverse populations (particularly deaf and hard of hearing children), and implementation of research-based math activities in preschool settings. Her work demonstrates how language exposure in any modality supports numerical concept development and how grammatical structures influence number word acquisition. Dr. Shusterman has secured significant research funding including NSF CAREER grants and collaborative research awards. She mentors undergraduate researchers in her laboratory and actively bridges academic research with practical educational applications through her work with the College of Education Studies. She directs the Blue Lab within Wesleyan's Cognitive Development Laboratories, located in Judd Hall. The NSF-funded lab conducts studies with children under 12 from central Connecticut preschools, schools, and daycare centers, using fun games to investigate how children think about numbers, space, language, and social concepts.

Andrew IzsakView profile

Professor

• Mathematics Education
• Multiplicative Reasoning
• Psychology of Mathematical Thinking
• +4 more

Andrew Izsak is a Professor of Mathematics and Chair of the Education Department at Tufts University's School of Arts and Sciences. He holds a PhD in Science and Mathematics Education from UC Berkeley (1999), an MEd from Harvard (1993), an SM in Mathematics from MIT (1992), and a BA in Mathematics from UC Berkeley (1987). His research focuses on the psychology of mathematical thinking, particularly how teachers and students reason about multiplicative concepts like fractions, proportional relationships, and linear equations. He emphasizes the role of inscriptions (e.g., diagrams) in supporting quantitative reasoning. His work integrates psychometric modeling to assess teacher knowledge and student learning. Notably, he co-leads the Teachers’ Multiplicative Reasoning Research Group with Dr. Sybilla Beckmann, exploring how teachers’ reasoning about multiplication and fractions informs their understanding of proportional relationships. This group also investigates the utility of number lines and strip diagrams in teaching these concepts. Their psychometric studies, using diagnostic classification models, reveal distinct profiles of teachers’ fraction arithmetic reasoning skills nationally. Dr. Izsak has developed innovative mathematics courses and contributed to curricula emphasizing conceptual coherence. His research bridges cognitive science and education, addressing how foundational mathematical concepts evolve from elementary to middle school. His grants and collaborations focus on improving teacher education and student learning outcomes through structured pedagogical approaches. Key areas of exploration include the ‘multiple batches’ and ‘variable parts’ perspectives on proportional relationships, aiming to make linear equations and algebraic reasoning more accessible. His interdisciplinary work highlights the interplay between measurement, multiplicative reasoning, and educational assessment design.

• Educational Technology
• Cognitive Development
• Child-Tablet Computer Interaction
• +3 more

Adam Dubé is an Associate Professor in the Department of Educational and Counselling Psychology at McGill University's Faculty of Education. He directs the Technology, Learning, & Cognition (TLC) Lab and holds a McGill Faculty of Education Distinguished Teacher award. His research focuses on how educational technologies like tablet computers and digital games enhance learning, particularly in mathematics and cognitive development. He has published extensively on educational app design, digital assistant impacts on children’s cognitive theories, and teacher adoption of educational technologies. Education: Postdoctoral Research Fellow, University of Toronto PhD in Psychology, University of Regina MA in Psychology, University of Regina Research Interests: Educational Technology & Teaching Innovation Cognitive Development Child-Tablet Interaction Mathematical Cognition Educational App Evaluation Awards: McGill Distinguished Teacher Award (2021) Fellow, American Educational Research Association Fellow, Society for Research in Child Development Grants & Funding: SSHRC Insight Development Grants (2021-2022, 2020-2021) MITACS Accelerate Grant (2020-2021) Labs/Teams: Lead researcher at the TLC Lab, collaborating with Ubisoft Montreal on educational game curriculum guides.

Susan C. LevineView profile

Professor

• Spatial Cognition
• Numerical Development
• Cognitive Development
• +3 more

Susan C. Levine is the Rebecca Anne Boylan Distinguished Service Professor of Education and Society in the Department of Psychology at the University of Chicago. Her research explores the interplay between early spatial and numerical thinking, focusing on how adult-child interactions shape mathematical development in home and school settings. Her work examines children's understanding of natural numbers and fractions, evaluates interventions to improve math skills, and investigates how parental and teacher math attitudes influence child outcomes. Key areas include math anxiety, gesture-based learning, and socioeconomic impacts on numeracy. Recent publications highlight gesture interventions for spatial misconceptions, math anxiety in college calculus, and the role of parental interactions in shaping children's mathematical beliefs. The Distinguished Service Professor award recognizes her contributions to educational psychology.

Adele DiamondView profile

Professor

• Developmental Cognitive Neuroscience
• Executive Functions
• Prefrontal Cortex
• +6 more

Adele Diamond is a Professor at the University of British Columbia 's Faculty of Medicine , Department of Psychiatry . She pioneers Developmental Cognitive Neuroscience and challenges traditional educational and medical paradigms through her work on executive functions (EFs) and their modulation by dopamine , stress , and educational interventions . Her educational background includes: Philosophy of Science, London School of Economics (1972) B.A. in Psychology and Sociology & Anthropology, Swarthmore College (1975) Ph.D. in Developmental Psychology, Harvard University (1983) Postdoctoral Fellowship in Neuroanatomy, Yale University School of Medicine (1982-1985) Research focuses on: EFs ( cognitive flexibility , working memory , self-control ) and their neural bases in prefrontal cortex Gene-environment interactions like COMT gene polymorphism and sex differences under stress Interventions: mindful movement , Tools of the Mind curriculum, physical activity , and the arts Key scientific awards include: Fellow, Royal Society of Canada Huttenlocher Award (Flux Society for Developmental Cognitive Neuroscience) Two Honorary Doctorates (University of Cambridge, Erikson Institute) She mentors PhD students in Neuroscience, Population and Public Health, and Interdisciplinary Studies. Her lab at UBC's Centre for Brain Health and BC Children's Hospital Research Institute integrates neuroimaging (fMRI) with genetic analysis and intervention studies . Recently organized the 4-day international conference 'A Joyous Celebration' uniting 400+ attendees from 45 countries.

Maja ElmgrenView profile

Senior Lecturer

• Chemistry Education Research
• Physics Education Research
• Higher Education
• +8 more

Maja Elmgren is a Senior Lecturer in Physical Chemistry and Educational Developer at Uppsala University's Department of Chemistry and Faculty of Science and Technology. Since 2009, she has directed the Council for Educational Development (TUR), focusing on academic leadership, chemistry education, and scholarly teaching. Her research spans physical chemistry, chemistry/physics education, and higher education development. Research Interests: Leadership in higher education and doctoral assessment Educational expertise in academia Student learning in thermodynamics and kinetics Chemistry education through international cooperation Quantum mechanics conceptualization Thermal phenomena visualization via infrared cameras Article Trends: Recent publications highlight interdisciplinary learning (chemistry-mathematics), assessment reform in doctoral education, student-centered pedagogy, and technological tools in science education. Subfields include mathematical modeling, entropy understanding, and VR-funded projects on science teacher roles. Scientific Awards: Medal for Merit from Uppsala Science and Technology Student Union (2011) Distinguished Teaching Award from Uppsala University (2001) Academic Roles: Director, Council for Educational Development (TUR) since 2009 Author of "Academic Teaching" (2018) and "Universitetspedagogik" (2016) International collaborations with IUPAC and VR-funded projects Specializes in entropy/thermodynamics education and infrared camera applications

• Cross-cultural psychology
• Mathematics education
• School psychology
• +3 more

Dr. Zheng Zhou is a Professor of Psychology at St. John's College of Liberal Arts and Sciences, St. John's University. She holds a Ph.D. in School Psychology from Columbia University (1996), and her academic career includes significant contributions to cross-cultural educational psychology. Dr. Zhou is a Fulbright Scholar and Fellow of APA Division 16, recognized as one of the top 15 contributors to School Psychology literature. She serves as an Associate Editor for School Psychology International and has held leadership roles in professional organizations like the Board of Scientific Affairs (BSA). Education: Ph.D. 1996, Columbia University, School Psychology M.Phil. 1995, Columbia University, School Psychology M.S. 1989, Tulane University, School Psychology B.A. 1982, Suzhou University, China, English Research Focus: Dr. Zhou’s work centers on cross-cultural studies in mathematics education, particularly comparing U.S. and Chinese pedagogical approaches. Her research also addresses school adjustment of Asian-American youth and cultural competence in counseling. Key areas include children’s mathematical reasoning, bilingual education, and the psychosocial adaptation of immigrant adolescents. Publications Trends: Her articles consistently explore cultural differences in cognitive development and educational practices, with a focus on fractions, relational concepts, and cross-cultural comparisons in math instruction. Recent work emphasizes bridging Western and Eastern pedagogical strategies to enhance global educational outcomes. Awards & Recognition: Fulbright Scholar Fellow of APA Division 16 Top 15 contributor to School Psychology literature Multiple Faculty Recognition Awards from St. John’s University Advising & Leadership: Dr. Zhou advises students in graduate programs like Psycholinguistics of Bilingualism and Cross-Cultural Psychology. She has guest-edited special issues on topics such as Psychological and Educational Needs of Children in Asia and Culture and Psychology: Fulbright Psychologists and Educators in China . Her service includes roles as Chair of Division 16’s Committee on Ethnic Minority Affairs and liaison to the BSA.

Elizabeth SpelkeView profile

Professor

• Cognitive Development
• Infant Cognition
• Core Knowledge
• +7 more

Elizabeth Spelke is the Marshall L. Berkman Professor of Psychology at Harvard University and an investigator at the NSF-MIT Center for Brains, Minds and Machines. She leads the Spelke Lab, which conducts behavioral research on infants and preschool children to understand the origins of uniquely human cognitive capacities such as formal mathematics, symbolic representation, and object taxonomy. Education: B.A. in Social Relations from Radcliffe College (1971), Ph.D. in Psychology from Cornell University (1978). Professional Experience: Faculty positions at the University of Pennsylvania, Cornell University, MIT, and Harvard University since 2001. Her research focuses on core knowledge systems in infancy, including understanding of objects, actions, people, places, number, and geometry. She collaborates with computational cognitive scientists to model infant cognition and with economists to apply findings to educational interventions. Her work integrates developmental, comparative, and cross-cultural perspectives. Her recent publications span topics such as early math learning, social evaluation in toddlers, goal inference, and the interplay between language and conceptual development. Trends in her recent work include experimental field studies, interdisciplinary collaborations, and theoretical synthesis of core knowledge frameworks. National Academy of Sciences (USA), 1999 American Academy of Arts and Sciences, 1997 National Academy of Sciences Prize in Psychological and Cognitive Sciences, 2014 C.L. de Carvalho-Heineken Prize for Cognitive Sciences, 2016 George A. Miller Prize, Cognitive Neuroscience Society, 2018 Mentor Awards from APS and APA, 2021 Spelke has mentored numerous researchers and collaborated widely across disciplines. Her lab’s work is supported by major grants from the NSF and other institutions. She has pioneered the use of behavioral methods to study infant cognition and has been instrumental in translating cognitive science into educational practice. She directs the Spelke Lab at Harvard, which investigates core cognitive systems through behavioral experiments with infants and young children. The lab explores how innate knowledge structures interact with experience to produce complex human cognition.