جست‌وجوی استاد و پژوهشگر

Serkan Arıkanمشاهده پروفایل

دانشیار

• Educational Measurement and Evaluation
• Computerized Adaptive Testing
• Large-Scale Educational Assessments
• +۵ مورد دیگر

Assoc. Prof. Dr. Serkan Arıkan is a faculty member at Boğaziçi University's Faculty of Education, Department of Mathematics Education. His research focuses on educational measurement, computerized adaptive testing, non-routine problem solving, and large-scale assessment frameworks like PISA and TIMSS. He has developed psychometric tools for STEM competency evaluation and conducted bias detection studies in international exams. Education : PhD in Secondary Science and Mathematics Education (METU, 2010), Postdoc (Tilburg University, 2015) Awards : Outstanding Achievement in Teaching Award (2021-2022) Research Trends : His recent work includes psychometric validation of self-compassion scales, extending the Community of Inquiry framework for technology integration, and adaptive test design using multiple matrix sampling. He investigates how socioeconomic factors, item bias, and emotional skills intersect with academic performance. Projects : Leads TÜBİTAK-funded AI-based test design and computerized adaptive mathematics test initiatives. Conductor of Boğaziçi University Adaptive Testing Laboratory.

Sanford R. Studentمشاهده پروفایل

استادیار

• Educational Measurement
• Psychometrics
• Quantitative Methods
• +۳ مورد دیگر

Dr. Sanford R. Student is an Assistant Professor in the School of Education at the University of Delaware and a Resident Faculty member of the Data Science Institute. His research focuses on connecting psychometric methodologies with practical educational implications, particularly in academic growth measurement, large-scale science assessments, and instrument design. He holds a Ph.D. in Research and Evaluation Methodology from the University of Colorado Boulder (2023) and dual B.A.s in Philosophy and Computer Science from Brown University (2013). Dr. Student’s professional experience includes roles as a Research Associate at Lyons Assessment Consulting (2021–2023), Doctoral Researcher at the Center for Assessment Design, Research and Evaluation (2018–2023), and Lead Researcher for the American Bar Association’s Bar Exam study (2019–2020). Prior to academia, he worked as a Software Engineer at edX (2016–2018). His awards include selection for the 2020 AIR/NCES NAEP Data Training Workshop. Current research trends in his publications emphasize Bayesian methods, vertical scaling, and crosscutting concepts in science education. He actively contributes to educational policy discussions through work with state agencies and assessment developers. Dr. Student advises graduate students and collaborates on grants related to growth measurement and educational data systems. He is affiliated with the National Council on Measurement in Education and maintains a lab focusing on applied psychometric challenges in K-12 systems.

Shabnam Sadeghi Esfahlaniمشاهده پروفایل

دانشیار

• Robotics
• Mechatronics
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Shabnam Sadeghi Esfahlani is an Associate Professor in Robotics at the School of Engineering and the Built Environment, Anglia Ruskin University , where she serves as Deputy Leader of the BORI research group and leads the Automation & Robotics MSc program. Her interdisciplinary expertise spans mechatronics, artificial intelligence, virtual reality, and serious games , with a focus on applications for rehabilitation, medical training, and autonomous systems . As a Chartered Engineer and Senior Fellow of the Higher Education Academy , she has secured significant funding from Innovate UK, Horizon 2020, and GCRF , with grants exceeding £3 million. Education PhD in Mechanical Engineering, Anglia Ruskin University BSc (First Class) in Statistics & Mathematical Science, Shahid Beheshty University Her research integrates AI with robotics for societal impact, exemplified by the open-source SROBO ground robot and projects like Rehabgame and the Assistive Feeding Robot . She has published over 45 peer-reviewed articles and contributes to academic communities as a journal guest editor and conference organizer . Key collaborations include IET, IMechE, and the Nuffield Foundation as a mentor for young students. Scientific Awards & Recognitions: Chartered Engineer (CEng), Engineering Council UK Senior Fellow (SFHEA), Higher Education Academy Student-Voted 'Made a Difference Award' (2018) Post-Graduate Certificate in Higher Education

• Educational psychology
• Developmental Disorders
• Anger Management
• +۴ مورد دیگر

Professor Keiko Honda is a distinguished faculty member at Waseda University's Faculty of Education and Integrated Arts and Sciences, School of Education. With a Doctorate in Education from Teachers College, Columbia University, she has established herself as a leading expert in educational psychology, particularly focusing on developmental disorders, anger management, crisis intervention, and school counseling. Her educational background includes: Graduate School, Division of Psychology, Counseling Psychology at Teachers College, Columbia University (1994) Faculty of Liberal Arts, Social Study at International Christian University Professor Honda's research focuses on understanding and addressing the challenges faced by children with developmental disorders, particularly in emotional regulation and social interaction. Her work has led to the development of specialized intervention programs including anger management techniques for children with borderline intelligence and social skills training for children with special needs. She has pioneered approaches that combine clinical psychology with educational practices to create effective support systems in school environments. Her research has identified key developmental stages in children's needs and self-control, resulting in categorized intervention strategies. Her work has been particularly influential in developing practical tools for educators and counselors working with children who have difficulties in social interaction and emotional regulation, including VRICS (Violence Risk Check Sheet) and specialized anger management programs implemented in schools and correctional facilities. Professor Honda is actively involved in professional organizations including: Japan Psychological Association Japan School Psychologist Association Japanese Association of Criminal Psychology Japanese Association of Correction Education Japanese Association of Educational Psychology Japanese Association of Learning Disorder She supervises graduate students across multiple departments including the Graduate School of Education and the Graduate School of Letters, Arts and Sciences, teaching diverse courses related to school psychology, educational psychology, and brain-based learning in inclusive classrooms. Her current research projects focus on developing comprehensive systems for inclusive education and prosocial problem-solving strategies for children with developmental disabilities.

Nancy C. Jordanمشاهده پروفایل

استاد

• Mathematics Education
• Learning Disabilities
• Child Development
• +۳ مورد دیگر

Nancy C. Jordan is the Dean Family Endowed Chair of Education and Professor at the University of Delaware’s School of Education, specializing in Learning Sciences. She leads research on children’s mathematical learning and interventions for those facing difficulties. Her roles include Chair of the Mathematical Cognition and Learning Society’s governing board and contributions to National Research Council committees. Dr. Jordan holds a Ed.D. in Human Development from Harvard University (1985), an M.A. in Teaching from Northwestern University, and a B.A. from the University of Iowa. Her research focuses on early number sense, fraction learning, and evidence-based interventions like the Number Sense Interventions and Screener for Early Number Sense . Her grants include NSF and IES funding for projects such as Paving the Way for Fractions ($1.7M) and Fraction Sense Intervention ($3.3M). Awards include AERA Fellow (2020) and the Kauffman-Hallahan-Pullen Research Award (2020). Grants: NSF: Paving the Way for Fractions (2020–2024) IES: Fraction Sense Intervention Scaling (2020–2025) IES: Fraction Intervention for At-Risk Students (2016–2020) Awards: AERA Fellow (2020) Kauffman-Hallahan-Pullen Research Award (2020) APS Fellow Her work bridges research and practice, emphasizing accessibility for underserved populations in STEM. She collaborates with schools to implement scalable interventions and advocates for evidence-based educational policies.

Andreas Obersteinerمشاهده پروفایل

استاد

• Mathematics Education
• Cognitive Psychology
• Teacher Diagnostic Competence
• +۳ مورد دیگر

Prof. Dr. Andreas Obersteiner serves as Professor of Mathematics Education at the Technical University of Munich (TUM), School of Social Sciences and Technology, Department of Educational Sciences since April 2021. He leads the Chair of Mathematics Education and holds the position of Academic Program Director for the Professional Profile 'Natural Science Education – Teaching at Gymnasium' since 2022. His research centers on mathematical cognition, teacher development, and fraction learning, with significant contributions to understanding cognitive biases in numerical processing. Education Background 1. Staatsexamen for Teaching at Gymnasium (1999-2004) 2. Staatsexamen (2005-2007) PhD in Educational Sciences, TUM School of Education (2012) Habilitation, TUM School of Education (2018) Research Focus Prof. Obersteiner's work investigates mathematical cognition with emphasis on mental number representation and the natural number bias in fraction comparison. His research employs eye-tracking methodology to analyze cognitive processes in students and teachers. He develops interventions to enhance teacher diagnostic competence and mathematical learning, particularly through projects like FractAl and FracVisET that address fraction understanding. His interdisciplinary approach bridges educational psychology, cognitive science, and mathematics education. Publication Trends His recent publications (2023-2025) demonstrate consistent focus on fraction cognition, natural number bias mitigation, and teacher assessment competencies. He frequently employs mixed-methods approaches combining eye-tracking, verbal reports, and experimental interventions. Publication venues include top-tier journals like Learning and Instruction and Educational Studies in Mathematics , reflecting his impact on both theoretical and practical aspects of mathematics education. Scientific Recognition Alexander von Humboldt Fellowship (2017-2018) Academic Leadership Prof. Obersteiner supervises doctoral candidates including Dr. Sarah Huber and leads multiple funded projects (ALICE, DigiProMIN, COSIMA). As Academic Program Director, he shapes teacher education curricula. His editorial roles include Associate Editor for the Journal of Numerical Cognition (2020-2024) and coordination of EARLI's Special Interest Group 'Conceptual Change' (2019-2023). Research Infrastructure He directs the Chair of Mathematics Education at TUM, which operates within the Department of Educational Sciences and collaborates with TUM Referenzgymnasien schools. His team conducts experimental research using eye-tracking labs and digital simulations for teacher training, supported by current projects including RocketTutor and SHARP.

Michael Gaidoschikمشاهده پروفایل

استاد

• Mathematics Education
• Arithmetic Instruction in Primary Education
• Developmental Research on Part-Whole Concept of Numbers
• +۳ مورد دیگر

Michael Gaidoschik is a tenured full professor in Mathematics Education at the Faculty of Education, Free University of Bozen-Bolzano . He teaches courses on mathematics didactics for primary education (ages 5-12) and focuses on early arithmetic instruction, part-whole number concepts, and inclusive teaching methodologies. Office hours: Tuesday 13:00-14:00 Email: Michael.Gaidoschik@unibz.it His research addresses challenges in arithmetic instruction, particularly transitions from kindergarten to primary school , inclusive education strategies , and developmental approaches to number sense . He critiques traditional diagnostics like 'dyscalculia' and promotes didactic solutions for learning difficulties. Recent publication trends show emphasis on flexible decimal place value teaching , division conceptualization , metric system instruction , and interdisciplinary frameworks for mathematical learning barriers .

Elisabeth Moser Opitzمشاهده پروفایل

استاد

• Special Education
• Inclusive Education
• Mathematics Education
• +۳ مورد دیگر

Prof. Dr. Elisabeth Moser Opitz is a Full Professor of Special Education with a focus on Inclusion and Instruction Research at the University of Zurich. She leads the Institute of Educational Science and has held academic roles since 2010. Her research prioritizes inclusive education, mathematics learning difficulties (e.g., dyscalculia), and diagnostic tools for educational assessment. Key projects include SMILE (addressing mathematics difficulties in adolescents) and the Zurich Learning Progress Study (LEAPS) , examining learning trajectories from kindergarten through compulsory schooling. She has authored over 100 publications, focusing on teacher training, special education practices, and social-emotional development in classrooms. Education: 2000: Doctorate in Educational Science (University of Fribourg) 1991: Master's in Special Education (University of Fribourg) 1983: Primary School Teaching Certification Research Interests: Moser Opitz investigates inclusive pedagogical strategies, early numerical competence, and systemic educational equity. Her work bridges theory and practice, emphasizing teacher collaboration and contextual factors influencing student success. Grants/Leadership: Active in Swiss National Science Foundation projects (e.g., SinuS analyzing secondary school inclusion). She directs the LEAPS consortium, combining interdisciplinary expertise from multiple Swiss universities. Her contributions include developing diagnostic tools like the BASIS-MATH-G series for early mathematics assessment. Labs/Teams: Leads projects at the Institute of Educational Science, collaborating with experts in mathematics didactics, educational psychology, and teacher education.

• Artificial Intelligence
• Explainable AI (XAI)
• Green AI
• +۱۲ مورد دیگر

Dr Andrew Starkey is a Reader in the School of Engineering at the University of Aberdeen, where he also completed his PhD in 2001. He holds an Honours degree in Applied Mathematics from the University of St Andrews. He is actively involved in research and currently accepting PhD students in Engineering. His work bridges academia and industry, with a focus on AI applications in engineering, bioinformatics, and geosciences. University: University of Aberdeen School: School of Engineering Academic Rank: Reader Email: a.starkey@abdn.ac.uk Phone: +44 (0)1224 272801 Dr Starkey's research centers on Explainable AI (XAI) , Green AI , and Autonomous AI , with applications in robotics, econometrics, bioinformatics, seismic data analysis, and virtual reality. He has developed novel methods for feature selection, autonomous learning, and knowledge abstraction from agent-environment interactions. His work emphasizes low computational cost and transparency in AI systems. The most recent publications reflect a strong trend in applying AI to complex real-world problems, including digital rock technology, robotic grasping, real-time event detection, and medical data analysis. His interdisciplinary research combines machine learning with domain-specific knowledge in engineering and life sciences, often resulting in practical, industry-ready solutions. Millennium Product Award John Logie Baird Award for Innovation Enterprise Fellowship from Royal Society of Edinburgh and Scottish Enterprise Dr Starkey has supervised multiple research projects and secured funding from major bodies including EPSRC, BBSRC, and industry partners. His past work on the GRANIT project led to the development of AI-based condition monitoring for ground anchorages, resulting in commercialization through BlueFlow Ltd. He has collaborated with researchers across disciplines, including Dr Alasdair MacKenzie (bioinformatics), Dr Anne Schwab (seismic analysis), and Dr David Hazlerigg (genomics). He leads research in AI-driven engineering solutions and is the CEO of BlueFlow Ltd, a spinout company commercializing AI technologies developed at the University of Aberdeen. His lab focuses on developing autonomous, explainable, and environmentally sustainable AI systems for real-world deployment.

Mona Holmqvistمشاهده پروفایل

استاد

• Educational Science
• School and Teaching Profession
• Learning Theories
• +۷ مورد دیگر

Mona Holmqvist is a Professor of Educational Sciences specializing in school and the teaching profession at Lund University's Department of Educational Sciences within the Faculty of Humanities and Theology. She serves as Director of Doctoral Studies in Educational Sciences and has held professorships since 2017, returning to Lund University in 2023 after positions at HKr, GU, and MAU. Her academic journey began with teacher certification for grades 4-6, subject teaching credentials for 7-9, and secondary teaching in pedagogy/psychology, culminating in her 1995 PhD in pedagogy from Lund University focused on teaching students with autism. Her research spans learning theories, particularly variation theory development, and practice-based educational research from early childhood to higher education. Holmqvist has special expertise in subject didactics and special didactics for individuals with ADHD and autism. She has served as principal investigator for ten externally funded research projects and coordinated three research schools, including the National Research School for Pedagogical Work (2001-2010) and SET—Research School in Special Education for Teacher Educators (2018-2022). Her recent publications demonstrate a strong focus on inclusive education, special didactics, and early mathematics development, with particular attention to students with autism and ADHD. Current projects include a VR-funded study on number sense in 5-6 year-olds and an Erasmus project for higher education course development in Bhutan. Professional leadership roles include Vice Chair of the Academic Merit Review Board in Higher Education Pedagogy at Lund University, membership on the Swedish Research Council's Committee for Educational Sciences, and editorial board positions for three academic journals. Director of Doctoral Studies in Educational Sciences at Lund University Principal Investigator for 10+ externally funded research projects Supervisor for 14 doctoral students and 9 licentiates Member of Swedish Research Council's Educational Science Committee Editorial board member for 3 academic journals Her work consistently bridges theoretical frameworks with practical classroom applications, particularly in inclusive educational settings and teacher professional development. Current research emphasizes content-inclusive teaching approaches that provide equitable learning opportunities for diverse student populations.

Morgane Chevalierمشاهده پروفایل

دانشیار

• Educational Robotics
• Computational Thinking
• E-learning
• +۴ مورد دیگر

Morgane Chevalier is an Associate Professor at Vaud Teacher Training College (HEP Vaud) working within the Media, Digital Uses and Computer Science Teaching unit (UER MI). She specializes in multimedia pedagogical engineering, combining project management with e-learning scripting. Her work bridges educational theory and practical implementation of digital technologies in classroom settings, with particular focus on primary education. With prior experience teaching in primary schools in Seine-Saint-Denis (France), working in human resources in Montreal (Canada), and teaching in the Canton of Vaud, Chevalier brings diverse perspectives to her academic work. She holds a Master's degree in e-learning from IPM, Lille 1 and is currently pursuing a MAS in 'Theories, practices and training devices for teachers' to refine her understanding of institutional and social contexts of teacher training in French-speaking Switzerland. Her research interests focus on three complementary areas: online homework implementation in blended learning environments and fostering teacher communities of practice; how e-learning supports teacher professionalization; and robotics as a medium for knowledge, specifically examining how classroom robot integration impacts student learning and teaching practices. She is particularly interested in emerging communities of practice around educational technology. Analysis of her recent publications reveals a strong emphasis on educational robotics as a vehicle for developing computational thinking in primary education. Her work consistently explores scaffolded learning approaches, intervention methods, and teacher perspectives on implementing robotics in classrooms. A recurring theme is the development of models to help teachers identify relevant computational thinking concepts during different phases of educational robotics activities. Chevalier serves in several organizational roles including as an Associate HEP Professor, delegate of the intermediate body to the HEP Council, delegate of the Specialized Pedagogy Study Commission, and scientific collaborator at EPFL's LSRO. She is also a member of the educanet2 Community. Her teaching spans Bachelor primary programs, MASPE education, and continuing education courses covering image creation and processing, media education, Thymio II robotics, and flipped classroom methodologies. She collaborates extensively with EPFL researchers, particularly on projects involving the Thymio educational robot, and has developed frameworks for creative computational problem solving through robotics. Her work demonstrates a commitment to translating research into practical classroom applications while supporting teacher development in the digital age.

• Child Disability
• Developmental Disabilities
• Rehabilitation
• +۴ مورد دیگر

Annette Majnemer is a Professor at McGill University's School of Physical and Occupational Therapy within the Faculty of Medicine and Health Sciences. She serves as a Senior Scientist at the Research Institute of the McGill University Health Centre (IR-MUHC), where she is affiliated with both the Child Health and Human Development Program and the Center for Evaluative Research in Health. Her academic career is firmly rooted in pediatric rehabilitation science, with particular emphasis on understanding and improving outcomes for children with developmental disabilities. Dr. Majnemer's research program focuses on child, adult, and environmental factors that influence activity limitations and participation restrictions in children and youth with developmental disabilities. She has particular expertise in studying children born at high risk of impairment, including preterm survivors and children with congenital heart disease, as well as those with cerebral palsy. A significant portion of her recent work has centered on knowledge translation and exchange strategies designed to promote best practices in early identification of impairment and adoption of effective rehabilitation interventions. She leads the CHILD-BRIGHT Network, a pan-Canadian patient-oriented research strategy targeting children with brain-based disorders, which represents one of the most significant collaborative efforts in childhood disability research in Canada. Her publication record demonstrates a strong trajectory in childhood disability research, with recent work increasingly focusing on innovative approaches to rehabilitation service delivery, including telehealth, digital interventions, and gamification strategies to enhance participation. The breadth of her research spans from basic understanding of developmental trajectories to implementation science examining how to effectively integrate evidence into practice. Her work consistently emphasizes patient and family engagement, recognizing the critical importance of incorporating the perspectives of children with disabilities and their families in research design and service development. Dr. Majnemer has been instrumental in developing and evaluating coaching interventions for parents of children with developmental delays, examining how to optimize leisure participation for children with disabilities, and creating tools to measure inclusion in community settings. Her work on the Child Community Health Inclusion Index represents an important contribution to the field's ability to assess and improve community participation for children with disabilities. Through her leadership of the CHILD-BRIGHT Network and numerous collaborative research projects, Dr. Majnemer has established herself as a central figure in Canadian childhood disability research, bridging clinical practice, research, and policy to improve outcomes for children with disabilities and their families across the country.

Yannis Konstasمشاهده پروفایل

دانشیار

• Natural Language Processing (NLP)
• Artificial Intelligence (AI)
• Natural Language Generation (NLG)
• +۳ مورد دیگر

Yannis Konstas is an Associate Professor (Reader in the UK system) at Heriot-Watt University’s School of Mathematical & Computer Sciences, Department of Computer Science. He co-leads the Safe and Secure AI for Robotics (SAIR) theme at the National Robotarium. His research focuses on Responsible, Safe, and Explainable AI applications using NLP, including Gender-Based Violence (GBV) detection via LLMs, Social Behavior Modeling, and Vision-Language-Action (VLA) models for robotics. He holds a PhD from the University of Edinburgh (2013), supervised by Mirella Lapata, and has held postdoctoral roles at the University of Washington and the University of Edinburgh. Research interests include Natural Language Generation (NLG), representations, modeling, and evaluation across domains like math problems and dialogue systems. His work spans Psycholinguistics, semantics, and Information Retrieval. He actively explores new fields, such as LLM interpretability and instruction-driven robotic manipulation. He accepts PhD students and collaborates on interdisciplinary projects, including regulatory compliance digitalization and embodied AI for egocentric video understanding. Education: PhD in Computer Science (2013), University of Edinburgh; Postdoctoral Researcher at University of Washington (2015–2017) and University of Edinburgh.

• Physics Education Research
• Astrophysics and Cosmology
• Quantum Mechanics
• +۳ مورد دیگر

Andrew F. Heckler is a Professor and Vice Chair for Administration in the Department of Physics at The Ohio State University, within the College of Arts and Sciences. He holds a B.S. in Physics from Ohio State (1986) and a Ph.D. in Physics from the University of Washington (1994). His research focuses on Physics Education Research and Astrophysics/Cosmology, emphasizing cognitive processes in STEM learning, assessment methodology, and educational equity. Key areas include student response time analysis, mastery-based learning, and curriculum design. He leads initiatives in digital education tools, such as online vector practice platforms and equitable assessment instruments. His work explores how self-efficacy and social comparison impact academic performance, particularly in physics courses. Heckler has developed frameworks to improve graduate-level physics instruction, addressing misconceptions in quantum mechanics and materials science. Publications highlight analysis of procrastination patterns, pandemic-era digital divides, and the role of concreteness in educational examples. His research bridges educational psychology with physics pedagogy, aiming to enhance student success through evidence-based interventions. He actively contributes to national projects like QuSTEAM, advancing quantum information science education.

Ryan Shiمشاهده پروفایل

استادیار

• Artificial Intelligence for Social Good
• Reinforcement Learning
• Game Theory
• +۷ مورد دیگر

Ryan Shi is an Assistant Professor at the School of Computing and Information (SCI) at the University of Pittsburgh. His research focuses on applying AI to address societal challenges in food security, environmental conservation, and public health, collaborating with nonprofit organizations globally. He specializes in game theory, online learning, and reinforcement learning, emphasizing deployable solutions. Shi holds a B.A. in Mathematics and Computer Science from Swarthmore College and a Ph.D. in Societal Computing from Carnegie Mellon University's School of Computer Science. He interned at Microsoft and Facebook during his Ph.D. and has been recognized with awards such as the 2023 IAAI Deployed Application Award and the 2022 Siebel Scholar Award. His work includes developing systems like Newspanda for environmental media monitoring and Maviper for interpretable multi-agent reinforcement learning. Recent projects involve optimizing food bank logistics, improving crowdsourcing platforms, and advancing low-resource language NLP for environmental conservation. Key Research Themes: Interpretable AI, Social Good Deployment, Responsible Algorithms Notable Deployments: Food rescue platforms, conservation monitoring tools Shi's research bridges theoretical foundations and real-world impact, with a focus on scalability, sustainability, and ethical considerations in AI applications.