Gail E. Joseph is a Professor in the College of Education at the University of Washington, with affiliations in Early Childhood & Family Studies and Learning Sciences & Human Development. She teaches courses, advises students, and conducts research on early care and education, focusing on child care quality, social-emotional learning, teacher education, and technology integration. Ph.D., University of Washington Her research projects include statewide surveys on early childhood workforce conditions, studies on digital professional learning tools like Circle Time Magazine, and evaluations of coaching interventions (e.g., FIND in Childcare) to improve teacher-child interactions. She co-created resources such as Teacher Time and the EarlyEdU Alliance, which aims to enhance early childhood education through accessible bachelor’s degrees. Her publications span topics like social-emotional curricula, behavioral interventions, and inclusive education frameworks. She has held leadership roles as Principal Investigator (PI) of the Head Start Center for Inclusion and Co-PI of the National Center for Quality Teaching and Learning (NCQTL). 2018 David R. Thorud Leadership Award (University of Washington) She currently serves as Executive Director of Cultivate Learning at the University of Washington, advancing professional development and quality improvement initiatives nationwide.
Bruce W. Smith is an Associate Professor at the University of New Mexico, College of Arts and Sciences, Department of Psychology. His research focuses on resilience , mindfulness interventions , and positive psychology with applications in health and stress management. Ph.D., Arizona State University (2002) Director, The Phoenix Lab Email: bwsmith@unm.edu Smith's research investigates how individuals bounce back from stress and adversity, including through mindfulness , positive psychology , and narrative-based approaches like the "hero’s journey". He developed the Brief Resilience Scale , widely used in stress and health research. His work spans health psychology, examining stress responses in chronic illness (cancer, cardiovascular disease) and emergency responders (firefighters). He has also explored mindfulness-based adaptations for Latino communities and positive psychology classes that improve student well-being. Smith teaches courses in Health Psychology , Positive Psychology , and Psychology Teaching Practicum . Current graduate students in his lab include Kaitlyn Schodt and Naila deCruz-Dixon . He is not accepting new students for Fall 2025 or 2024. Key themes across his publications (2008-2023) include: Resilience measurement and applications Mindfulness in stress reduction Positive psychology interventions Cultural adaptations for mental health His work emphasizes practical applications in both clinical settings and educational environments , with a focus on undergraduate well-being and trauma-informed approaches to personal growth.
Mary Lanzerotti is a Collegiate Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. She specializes in signal processing, control systems, and medical evacuation technology. Her research focuses on hoist stabilization for MEDEVAC rescues, RF signal estimation, and material science involving liquid films. She is also deeply involved in educational initiatives, including hybrid course development and student advising strategies. Education: A.B. summa cum laude from Harvard College (1989), M. Phil. from the University of Cambridge (1991), M.S. and Ph.D. from Cornell University (1994–1997). Research Interests: Signal processing algorithms, mechanical stabilization of hoist systems, quantum computing verification, and integrated circuits design. Recent work includes gyroscopic data-driven control systems and multi-tier RF signal estimation methods. Service Roles: Member of faculty search committees, assessment committees, and the Graduate Honor System panel. Active in institutional accreditation and curriculum modernization efforts. Labs/Teams: Collaborates with interdisciplinary teams on projects involving aerospace rescue systems, laser material interaction studies, and microelectronics verification.
Dr. Andrea R. English is a Senior Lecturer in Philosophy of Education at the Moray House School of Education and Sport, University of Edinburgh. She holds significant academic leadership roles, including President-Elect of the John Dewey Society and Editor-in-Chief of IMPACT: Philosophical Perspectives on Education Policy . Her research focuses on productive struggle in learning, dialogic pedagogy, and decolonizing education. She earned her doctorate from Humboldt University Berlin and has taught globally, including at Mount Saint Vincent University and Humboldt University Berlin. Dr. English leads the Productive Struggle Lab and the Listening Study Group, emphasizing anti-oppressive and democratic educational approaches. She coordinates teacher education initiatives and supervises PhD students exploring critical thinking, inclusive education, and decolonization. Her work bridges philosophy and practice, addressing how teachers foster student resilience through pedagogical listening, particularly in STEM education. She actively contributes to Scotland’s anti-racist curriculum project and collaborates internationally on transformative learning and ethical teaching practices. Dr. English’s teaching spans undergraduate and postgraduate programs, including courses on critical thinking, inclusive pedagogy, and John Dewey’s educational philosophy. Her funded research explores AI tools for identifying student struggle and the role of negativity in transformative learning. She frequently presents at global conferences, advocating for dialogic teaching and moral education reform.
Ira Lit is a Teaching Professor at the Graduate School of Education at Stanford University. They serve as Faculty Director of the Stanford Teacher Education Program (STEP) and are affiliated with the Stanford Woods Institute for the Environment . Their work bridges teacher education, elementary education, and educational equity. Key research areas include: Equity in education systems Design of schooling models Experiences of marginalized students Family-school partnerships Recent publications analyze teacher preparation programs, voluntary desegregation, and multilingual education. Lit has supervised doctoral students like Elena Darling Hammond and Nallely Aceves , with a focus on race, identity, and policy in California schools. They hold a Ph.D. from Stanford in Curriculum Studies and Teacher Education (2003) and have taught at Stanford since 1986.
Alison J. Mackey is Professor and Chair of the Department of Linguistics at Georgetown University, College of Arts and Sciences. She is a leading scholar in second language acquisition (SLA), with a focus on interaction, feedback, research methodology, and language learning across the lifespan. Her research interests include second language acquisition , task-based language teaching , research methodology , interaction and corrective feedback , and language learning in children and adults . She has published extensively in top-tier journals and book series, shaping methodological standards in the field. Her recent publications reflect a strong trend in methodological rigor , interactionist approaches , and practical applications of SLA research. Themes include data elicitation , stimulated recall , task design , and pragmatic development , spanning both theoretical and classroom-based inquiry. Mildenberg Prize (2012) for The Handbook of Second Language Acquisition American Association for Applied Linguistics Distinguished Scholarship and Service Award International Association of Task-based Language Learning and Teaching Distinguished Achievement Award CHOICE Outstanding Academic Title (2012) Alison Mackey has advised numerous scholars through co-authorship and editorial leadership. She is Editor-in-Chief of Cambridge University Press Annual Review of Applied Linguistics and Editor of the Routledge Second Language Research series, guiding the publication of cutting-edge research. While specific grants are not listed, her editorial work and high citation count (>35,000) reflect significant research impact and funding support. She leads and contributes to major research initiatives such as the IRIS Repository , promoting open-access research instruments in SLA. Her work fosters collaboration across institutions and supports methodological transparency and replication in the field.
Timothy Ashe is an Assistant Professor of Spanish & Linguistics at the University of Alabama at Birmingham (UAB). He holds a PhD in Spanish Linguistics from Arizona State University and has extensive experience in language education, corporate language analysis, and cross-cultural communication. His work focuses on second language acquisition, technology-enhanced language learning, and intercultural competence. Education: BA: University of Illinois at Urbana-Champaign (Spanish and Political Science) MA: DePaul University (Spanish and World Language Teaching) MA: DePaul University (English as a Second Language & Bilingual/Bicultural Education) PhD: Arizona State University (Spanish Linguistics) Research Interests: Timothy's research explores pragmatics, language for specific purposes (e.g., business, law, medicine), and the use of technology (e.g., mobile apps, social media) in language learning. He emphasizes culturally responsive frameworks to enhance proficiency and has collaborated internationally with governments and institutions. Teaching & Engagement: He teaches courses in Spanish linguistics, business Spanish, and study-abroad programs, having led student groups to Spain and Mexico for over a decade. Fluent in English, Spanish, Portuguese, and Italian, he also serves as a certified interpreter/translator in Spanish. Professional Background: Before academia, Ashe worked in corporate language analysis and as a high school language instructor. His interdisciplinary approach bridges practical language use with academic research, particularly in immersive and digital learning environments.
Dr Cosette Crisan is an Associate Professor (Teaching) in Mathematics Education at University College London’s IOE, ranked World Number 1 in Education. She specializes in curriculum design, subject-specific mentoring, and integrating digital technologies into mathematics education. Prior to joining UCL IOE in 2010, she taught mathematics at secondary and university levels for 16 years. Her research focuses on enhancing mathematics teaching practices through collaborative mentorship frameworks and technology integration. She co-leads the Curriculum and Subject Specialism Research Group and the ROPE group, driving pedagogical innovation. Notable achievements include the 2021 UCL Faculty Education Team Award for pandemic-era teaching support and leadership roles such as Academic Head of Learning and Teaching (2020–2023). She holds a PhD in Mathematics Education from London South Bank University and is a Principal Fellow of the Higher Education Academy. Current initiatives include developing a Mathematics and Secondary Mathematics Education BSc (QTS) Teacher Degree Apprenticeship program. Her research emphasizes revitalizing geometry education and preparing mentors to effectively guide novice teachers. Publications span topics like computer-aided assessment (STACK), pandemic-era teaching adaptations, and cross-cultural mentorship studies. Dr Crisan’s work bridges theory and practice, advocating for mathematics education as a design science. She actively contributes to the London Mathematical Society’s Education Committee, promoting public engagement with mathematics. Awards include the UCL Faculty Education Team Award (2021) and recognition for her role in transitioning teaching to online platforms during the pandemic. Her teaching portfolio includes leadership of the MA Mathematics Education program and supervision of doctoral candidates. Recent interests include exploring intersections between mathematics and cognitive neuroscience, inspired by her daughter’s career path.
Tanja Käser is a Tenure Track Assistant Professor at EPFL's School of Computer and Communication Sciences (IC), leading the Machine Learning for Education Laboratory (ML4ED). Her interdisciplinary research bridges machine learning, data mining, and educational technology, focusing on personalized learning systems and human behavior modeling. PhD in Computer Science (ETH Zurich, 2015) - honored with Fritz Kutter Award Former Senior Data Scientist at Swiss Data Science Center (ETH Zurich) Postdoctoral Researcher at Stanford University's Graduate School of Education Research Focus Explainable AI for education Adaptive learning environments Behavioral pattern recognition Generative AI applications in pedagogy User modeling and personalization Learning analytics in unstructured settings Recent Publication Trends Her 2024-2023 work demonstrates: Interpretable clustering of learners Transformer-based language learning prediction GAN applications for creative education Teacher-AI collaboration frameworks Explainability validation methods Modular network architectures Scientific Recognition Fritz Kutter Award for best Swiss computer science thesis (2015) Advising & Collaborations Currently supervises multiple PhD students including: Cock Jade Maï L Glandorf Dominik Güres Fatma-Betül Neshaei Seyed Parsa Radmehr Bahar Shibu Abhinand Shved Ekaterina Research Infrastructure Operates from EPFL's ML4ED laboratory with hybrid on-site and digital educational systems research capabilities.
Dr. Jennifer Katz serves as an Associate Professor in the Department of Educational and Counselling Psychology, and Special Education (ECPS) at the University of British Columbia's Faculty of Education. She joined UBC in July 2016 after previously holding an Associate Professor position in Inclusive Education at the University of Manitoba. Renowned for creating the Three Block Model of Universal Design for Learning (UDL), her framework is now implemented across Canadian school divisions to advance inclusive educational practices. Dr. Katz's research centers on inclusive education K-12 , social and emotional learning (SEL) , and mental health promotion in schools . Her work integrates the Three Block Model of UDL to address diverse student needs while emphasizing indigenous perspectives through extensive collaboration with First Nation elders and communities in Manitoba, Alberta, and Quebec. This intersectional approach reimagines inclusive education through reconciliation frameworks and culturally responsive practices. Analysis of her recent publications reveals consistent focus on mental health literacy programs for students with developmental disabilities, UDL's impact on academic achievement and teacher efficacy, and the integration of Indigenous knowledge systems. Her research bridges theory and practice through classroom-based interventions, cluster-randomized trials, and transformative learning frameworks that prioritize student well-being and social inclusion. Scientific Awards: No scientific awards were documented in the provided sources. Advising and Grants: While specific graduate students and research grants aren't detailed in the text, Dr. Katz's extensive publication record and community partnerships indicate active research leadership. Her work with school divisions across Canada suggests significant program implementation funding, though grant specifics remain unreported. Labs and Teams: Dr. Katz maintains critical partnerships with First Nation communities, embedding Indigenous knowledge into educational frameworks. Her Three Block Model implementation involves multi-school division collaborations nationwide, creating practitioner-researcher networks focused on inclusive classroom transformation.
Michael S. Horn is a Professor of Learning Sciences and Computer Science at Northwestern University, serving as Program Coordinator for Learning Sciences. He holds a PhD in Computer Science from Tufts University and a ScB in Computer Science from Brown University. His research focuses on the intersection of human-computer interaction and learning, emphasizing the use of emerging technologies in museums, classrooms, and informal settings. Notable projects include multi-touch tabletops in natural history museums, tangible programming languages for early education, and the TIDAL Lab’s innovative exhibits like Build-a-Tree and DeepTree. Education background includes: PhD in Computer Science (Tufts University, 2009) MS in Computer Science (Tufts University, 2006) ScB in Computer Science (Brown University, 1997) Research interests span tangible interaction design, computational literacy, and museum-based learning. He has led projects such as the ‘Energy Monsters’ board game and the TunePad music-coding platform. His work integrates technology with pedagogical practices to foster collaborative and exploratory learning environments. Active collaborations include the Computer History Museum and the California Academy of Sciences. Advising contributions include mentoring doctoral students like Dr. Mmachi Obiorah and Pei-Yi. His lab, TIDAL, explores interactive technologies for education, with grants from NSF and industry partnerships. Recent articles highlight innovations in computational thinking integration, music-coding hybrid practices, and AI-driven qualitative analysis.
Prof. April Wang is an Assistant Professor in the Department of Computer Science at ETH Zurich. Her work focuses on Educational Technology, Human-Computer Interaction, and AI-driven tools for programming education. She is affiliated with the Professur Educational Technology group and teaches courses such as Human Computer Interaction and Ethics in Computing. Her research explores interactive learning environments, collaborative data science workflows, and AI-augmented educational systems. Her research interests span computational notebooks, live coding interfaces, and human-AI collaboration in software development. Notable contributions include frameworks like DBox for algorithm learning and EDBooks for interactive programming narratives. She also investigates challenges in real-time collaboration tools and automated documentation systems for data scientists. Recent work emphasizes understanding user needs in automated copilot systems and resolving conflicts in collaborative notebook environments. Her projects often bridge theoretical HCI principles with practical educational tools, aiming to enhance both instructor efficacy and student engagement. Prof. Wang’s teaching portfolio includes courses on user-centered interface design and ethical scientific practices. She actively contributes to advancing interdisciplinary computational literacy through initiatives like datAR, which uses everyday objects to teach data concepts.
Dr. Zara Ersozlu is a Senior Lecturer in Mathematics Education within the School of Education at the University of Newcastle, Australia. With a distinguished international career spanning multiple continents, she has held academic positions at prestigious institutions including North Carolina State University (USA), Gazi and Gaziosmanpasa Universities (Turkey), National Taiwan Normal University (Taiwan), The University of Western Australia, Murdoch University, and Deakin University. Her academic journey includes tenured positions as an Associate Professor and leadership roles as Department Head and Chair in teacher education disciplines. Currently, she teaches undergraduate and postgraduate courses in mathematics education, including Effective Pedagogies in Primary Mathematics, K-6 Mathematics, K-6 Numeracy, and Digitally Supported Learning. Dr. Ersozlu earned her Doctor of Philosophy from Firat University in Turkey and her Master of Art from Sakarya University. Her extensive academic preparation is complemented by five years of practical teaching experience in public schools prior to entering academia. This blend of theoretical knowledge and practical classroom experience informs her approach to teacher education and educational research. At the broadest level, Dr. Ersozlu's research investigates solutions to real-life problems impacting people's well-being, success, and capacity to achieve. Her scholarly work spans primary and secondary mathematics education, the psychology of mathematics (including metacognition, self-regulation, and anxiety), cross-cultural educational studies, teacher education, virtual simulated learning environments, and educational assessment. She has increasingly focused on the transformative potential of AI and machine learning in education, exploring how these technologies alter teaching, learning, and research processes. Her methodological expertise encompasses both quantitative and qualitative approaches, allowing her to effectively analyze both small and large educational datasets. Analysis of Dr. Ersozlu's recent publications reveals a strong emphasis on mathematics anxiety, teacher education, and the integration of technology in learning environments. Her work demonstrates a consistent focus on practical applications of educational research to address real-world challenges in mathematics education. The interdisciplinary nature of her research connects educational psychology, technology integration, and cross-cultural perspectives, with particular attention to how these elements intersect in teacher preparation and student learning outcomes. 2023 ATEA Research Recognition Award from the Australian Teacher Education Association 2021 Fellow of the Higher Education Academy (Advance HE, UK) 2010 Fellowship Program for Postdoctoral Researchers from the Council of Higher Education of Turkey Dr. Ersozlu is deeply committed to mentoring the next generation of scholars, currently supervising four PhD students and having successfully guided ten students to completion. Her grant portfolio includes significant funding for projects such as Best Practice Guidelines for RPL in Initial Teacher Education Programs ($60,000), Exploring the Reciprocal Relationship Between Mathematics Anxiety and Mathematical Resilience ($2,599), and multiple conference travel awards. She serves as an Associate Editor for several prominent journals including the International Electronic Journal of Mathematics Education and as Editor for Interdisciplinary STEM Education. Her editorial work reflects her standing as a respected voice in mathematics education research. Dr. Ersozlu's academic leadership extends to her role in developing innovative teaching approaches that integrate virtual simulation technology and learning analytics. Her work with TeachLivE™, a mixed-reality classroom simulation platform, demonstrates her commitment to creating authentic learning experiences for teacher education students. Through these initiatives, she bridges the gap between educational theory and classroom practice, preparing future educators to effectively implement evidence-based teaching strategies in diverse learning environments.
Professor Judy Kay is a leading academic in Computer Science at the University of Sydney, holding a Chair in Human-Centred Technology Research within the Faculty of Engineering and IT. Her work focuses on designing personalized systems that empower users to control their data, particularly in lifelong learning and health contexts. She leads the Human Centred Technology Research Cluster and is Editor-in-Chief of the International Journal of Artificial Intelligence in Education (IJAIED). Education: Studied at the University of Sydney, inspired to pursue academia due to its multidisciplinary environment and student collaboration opportunities. Research interests include user modeling, scrutable AI systems, and interfaces for personal informatics. Current projects span virtual reality learning environments, health data dashboards, and ethical AI transparency. Her work has led to commercialized technologies like the Personis system. Publications include over 200 peer-reviewed works in top venues like CHI, UbiComp, and AIED conferences. Awards highlight her contributions to computing education and AIED, including the 2023 Lifetime Achievement Award. Advises 4 current PhD/Master’s students focusing on topics like Open Learner Models in VR and health decision-making tools. Collaborates with multidisciplinary teams across computer science, health sciences, and education. Labs/Teams: Leads research groups in the School of Computer Science and collaborates with the Charles Perkins Centre on health-related projects.
Dr James Lamb is a Lecturer in Digital Education at the Moray House School of Education and Sport, University of Edinburgh, where he is affiliated with the Institute for Education, Community and Society (IECS) and Edinburgh Futures Institute. He teaches on the MSc in Digital Education and MSc in Education Futures programs, and serves as course organiser for several key courses including 'Learning Spaces and Digital Technologies', 'The Future of Learning Organisations', and 'Education and Digital Cultures'. As an active researcher, he contributes to the Centre for Research in Digital Education and leads the Hybrid Pioneers research group. Dr Lamb's educational background includes a PhD from the University of Edinburgh (funded by ESRC), an MSc with distinction from the University of Edinburgh, and a BA degree with distinction from Edinburgh Napier University. His doctoral research focused on 'Space, Sociomateriality, Sound: the Learning Spaces of Higher Education,' reflecting his longstanding interest in the relationship between physical environments and educational experiences. Dr Lamb's research primarily investigates the relationship between learning spaces and digital technologies, with particular attention to how sound features within educational contexts and how multimodal approaches can enhance teaching and assessment. His work bridges theoretical frameworks from postdigital studies, sociomaterial theory, and spatial analysis to examine how digital technologies transform physical and conceptual learning environments. He has developed innovative methodologies for studying learning spaces, including the use of 'digital multimodal postcards' that capture both visual and auditory dimensions of educational experiences. His research is characterized by a strong commitment to practical applications that can inform educational design and improve student learning experiences in both physical and digital settings. Dr Lamb's extensive publication record demonstrates a clear evolution toward increasingly sophisticated explorations of postdigital learning spaces. His recent work integrates concepts from architecture, music, and mobility studies to create a more holistic understanding of how learners inhabit and transform educational environments. A notable trend is his growing focus on sustainability, equity, and well-being within learning space design, reflecting broader shifts in educational priorities toward more humane and socially responsible approaches to technology integration. Dr Lamb actively supervises PhD students Edward Martin and Nick Hood, and is open to supervising projects related to learning spaces, sound in education, and multimodal teaching and assessment in higher education. His supervision approach emphasizes connecting theoretical frameworks with practical educational applications, encouraging students to develop innovative methodologies for investigating complex educational phenomena. Dr Lamb leads the Elektronisches Lernen Muzik project, which explores the relationship between music and learning, and is a co-author of the influential Manifesto for Teaching Online. He is also a key member of the Hybrid Pioneers research group, which investigates the challenges and opportunities of hybrid teaching and learning environments. These initiatives reflect his commitment to exploring the intersections between traditional educational practices and emerging digital possibilities.
