جستجوی استاد راهنمای دانشگاهی

• Human-Computer Interaction
• Learning Sciences
• Educational Technology
• +۲ مورد دیگر

Jennifer Olsen, PhD, is an Assistant Professor of Computer Science at the University of San Diego since 2020. She holds a PhD, MS, and BS in Human-Computer Interaction and Cognitive Science from Carnegie Mellon University, followed by postdoctoral research at the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. Her research focuses on the intersection of human-computer interaction, cognition, and education, emphasizing collaborative learning and educational technology design from both learner and instructor perspectives. Education: PhD in Human-Computer Interaction, Carnegie Mellon University MS in Human-Computer Interaction, Carnegie Mellon University BS in Cognitive Science, Carnegie Mellon University Research Interests: Dr. Olsen explores how collaboration supports learning, designs technologies to enhance educational practices, and investigates gaze-based metrics for understanding collaborative problem-solving. Her work spans gamified robotics, AI-driven orchestration systems, and virtual reality applications in vocational training. She emphasizes learner-centered design and the integration of social robots and virtual agents in pedagogical settings. Grants/Advising: While no specific grants or advisees are listed, her prolific publication record indicates active involvement in educational technology research and development. Her work addresses challenges in classroom orchestration, multimodal data analysis, and accessibility in educational robotics. Labs/Teams: Collaborates with interdisciplinary teams focused on educational technology, human-robot interaction, and adaptive learning systems. Her research leverages tools like FROG orchestration graphs and eye-tracking technologies to develop practical classroom solutions.

• Artificial Intelligence in Education (AIED)
• User Modeling
• Human-Computer Interaction (HCI)
• +۵ مورد دیگر

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.

Ivon Arroyoمشاهده پروفایل

استاد

• Learning Sciences
• Computer Science
• Data Science
• +۹ مورد دیگر

Ivon Arroyo is a Professor in the Department of Teacher Education & Curriculum Studies (TECS) at the University of Massachusetts Amherst. Her research focuses on integrating novel technologies into math and computational thinking education, emphasizing affective and metacognitive states. She develops intelligent tutoring systems, such as COVES, which personalize learning in real-time and utilize facial expression recognition to enhance engagement. Her work on WearableLearning explores embodied, physically active multiplayer games for K-12 classrooms, leveraging mobile devices and wearable technologies to create immersive learning experiences. Dr. Arroyo holds an Ed.D. (2003) and M.S. (2000) from UMass Amherst and a B.S. from Universidad Blas Pascal in Argentina (1995). She has been recognized with multiple awards, including Best Paper Awards at the 2009 International Conference on Artificial Intelligence in Education and the 2010 Educational Data Mining Conference, a Fulbright Fellowship (1996), and a 1994 undergraduate prize for computer vision research. Her research interests span interdisciplinary areas such as Learning Sciences , Computer Science , Data Science , and Psychology . She prioritizes culturally responsive pedagogical agents and cross-cultural studies in educational technology, particularly in Argentina, India, and the U.S. Her projects often address challenges in developing countries, including localization of tutoring systems to Spanish. Advising and grants are central to her work, with grants like the NSF CAREER Award (2020) supporting embodied math classrooms. She collaborates on teacher dashboard frameworks and explores ethical AI integration in education. Her labs focus on creating tools that merge computational innovation with theoretical learning science principles, emphasizing real-world applications like the WearableLearning Cloud Platform.

Francesco Fabianoمشاهده پروفایل

پژوهشگر ارشد

• Multi-agent systems
• Epistemology
• Autonomous planning
• +۷ مورد دیگر

Francesco Fabiano is a Research Fellow at the Department of Computer Science, University of Oxford, and an Affiliated Faculty Member at New Mexico State University. He previously served as Assistant Professor at New Mexico State University (2023–2024) and held Adjunct Professor roles at Saint Joseph’s University and University of Parma. His research spans neuro-symbolic AI, multi-agent systems, epistemology, and autonomous planning. Postdoctoral Research Associate at University of Oxford (2025–present) Ph.D. in Computer Science from University of Udine (2018–2021) Master’s Degree in Computer Science from New Mexico State University (2017–2018) Bachelor’s Degree in Computer Science from University of Parma (2013–2016) His work focuses on neuro-symbolic architectures that integrate formal logic with machine learning, particularly for multi-agent epistemic planning and ethical decision-making frameworks . He explores hybrid systems combining System-1/System-2 cognitive paradigms to enhance AI trustworthiness. Recent publications analyze knowledge representation in neuro-symbolic systems, the role of large language models in planning, and heuristic optimization in multi-agent epistemic solvers like EFP. His work also addresses ethical AI and explainable data-to-text frameworks . Best Ph.D. Thesis Award by GULP (2022) He collaborates with IBM Watson Research Lab on cognitive theory-inspired AI paradigms and contributes to open-source planning tools like EFP. His teaching experience includes courses in Applied Machine Learning , Automated Planning , and LaTeX programming .

• Mathematics Education
• History of Mathematics
• Semiotic Mediation
• +۵ مورد دیگر

Michela Maschietto is a Full Professor at the Department of Education and Human Sciences, University of Modena and Reggio Emilia, with a focus on mathematics education methodology and historical mathematical artifacts. She previously held positions at the Mathematics campus and leads the Laboratory of Mathematical Machines. Research Interests: Her work bridges physical and digital tools in mathematics education, emphasizing semiotic mediation, argumentation development, and historical instrument reconstruction for pedagogical purposes. She explores geometric-mechanical artifacts for calculus concepts and investigates connections between spatial/geometrical knowledge. 2025 study on geometry education trends using didactic tetrahedron model 2024 research on physical-digital tool integration for argumentative skill development 2023 projects involving tactile calculus devices and conic section machines Teaching Activities: She designs mandatory laboratory components for primary education students, covering national guidelines, semiotic mediation theory, and historical artifacts like abacuses and programmable robots. Her courses emphasize problem-solving, geometric visualization, and standardized assessment analysis. Laboratory Involvement: As head of the Mathematical Machines Laboratory, she organizes exhibitions and workshops using reconstructed historical instruments for mathematics popularization. This includes collaborations with international researchers on topics like the Pythagorean theorem and conic sections.

Clara Colombattoمشاهده پروفایل

استادیار

• Cognitive Psychology
• Social Psychology
• Vision Science
• +۵ مورد دیگر

Dr. Clara Colombatto is an Assistant Professor in the Department of Psychology at the University of Waterloo, where she directs the Vision and Cognition Lab. She holds an honorary lecturer position at University College London and a PhD from Yale University. Her research explores how visual perception extracts social and cognitive states from others, focusing on attentiveness, confidence, and metacognition. She investigates non-biological agents like AI and the perceptual roots of social cognition, including group dynamics and moral judgment. Education: BS in Neuroscience and Philosophy, Duke University PhD in Psychology, Yale University Postdoctoral Research Fellow, University College London Research Interests: Perception of attentiveness and metacognition, social group perception, AI ethics, moral judgment, and visual cognition. Her work bridges cognitive psychology, vision science, and social psychology to understand how humans perceive other minds and interact with non-human agents. Recent Trends in Articles: Recent work emphasizes human-AI collaboration, trust in technology, and perceptual foundations of social interaction. Key themes include gaze dynamics, confidence attribution in AI, and optimal group size perception. Grants & Collaborations: Collaborates with institutions like Princeton University, University of Oxford, and Microsoft Research. Her team includes students working on topics like robot teleoperation and moral narratives. Labs & Teams: Leads the Vision and Cognition Lab at Waterloo, focusing on experimental psychology and computational modeling. Current projects explore metacognition in advice-taking and perceptual grouping in social interactions.

Jordan Taylorمشاهده پروفایل

استاد

• Motor Control
• Neuroscience
• Computational Motor Learning
• +۲ مورد دیگر

Professor Jordan Taylor is affiliated with Princeton University as a faculty member in the Department of Biomedical Engineering within the School of Engineering and Applied Science. His research focuses on unraveling computational processes in motor control and learning, with particular emphasis on interactions between explicit cognitive strategies and implicit motor adaptation during skill acquisition. Taylor leads the Intelligent Performance and Adaptation Laboratory , aiming to develop optimal training protocols for motor rehabilitation post-stroke or disease. Research Interests : Taylor investigates how humans learn motor skills through dual mechanisms of declarative strategy formation and implicit neural adaptation. His work explores the neural systems underlying these processes and their functional consequences, especially in pathological conditions like cerebellar degeneration. Current studies examine working memory constraints, reward modulation of implicit adaptation, and plan-based generalization of motor learning. Publication Trends : Recent articles analyze dual mechanisms in sensorimotor learning, reward-driven adaptation, and contextual influences on motor memory. His computational neuroscience approach combines behavioral experiments, neural imaging, and theoretical modeling to study cognitive-motor interactions across various tasks.

Katherine Twomeyمشاهده پروفایل

مدرس

• Language Development
• Cognitive Development
• Infant and Toddler Learning
• +۳ مورد دیگر

Katherine Twomey is a Lecturer in Language & Communicative Development at the University of Manchester's Division of Psychology, Communication and Human Neuroscience. She holds a PhD from the University of Sussex (2013) focusing on early word learning processes. Her research uses computational and empirical methods to study how infants and toddlers learn language, particularly the influence of environmental stimuli and curiosity-driven exploration. She is affiliated with the Autism@Manchester initiative and the Centre for Robotics and Artificial Intelligence (RAI), contributing to interdisciplinary projects. Key research areas include curiosity mechanisms in early learning, the role of perceived emotions in word acquisition, and telehealth interventions for aphasia. She has received awards such as the Future Research Leaders Fellowship (2016) and has published over 50 peer-reviewed works. Twomey’s work addresses UN Sustainable Development Goal 4 (Quality Education) and 3 (Good Health and Well-being), with projects like the TALES program targeting post-stroke literacy recovery. She actively collaborates with NHS trusts and participates in autism-focused summits, demonstrating commitment to translational research and societal impact. Her research methodologies span experimental psychology, neurocomputational modeling, and longitudinal studies, with datasets archived at the UK Data Service. Twomey is also engaged in public outreach, contributing to media discussions on child language development and autism advocacy.

Stavros Demetriadisمشاهده پروفایل

استاد

• Learning Technologies
• Educational Technology
• ICT in Education
• +۷ مورد دیگر

Stavros Demetriadis is a Full Professor at the School of Informatics, Aristotle University of Thessaloniki, Greece. His research focuses on Learning Technologies, including Conversational Agents in Education, Learning Analytics, Computer-Supported Collaborative Learning (CSCL), Computational Thinking, and Massive Open Online Courses (MOOCs). He has led EU-funded projects like colMOOC and developed educational tools such as 'pytolearn' for Python instruction and 'Cubes Coding' (winner of Open Education Challenge 2014 and NUMA Competition 2014). He has supervised 5 completed PhD theses, 4 ongoing PhDs, and over 60 Master’s theses. Academic Appointments: Full Professor (2020–present), Associate Professor (2015–2020), Assistant Professor (2012–2015), Lecturer (2002–2008), Informatics Teacher (1989–2002) Education: PhD in Multimedia Technology in Education (2000), MSc in Electronic Physics (1986), BSc in Physics (1983) His work bridges AI and education, with over 161 publications and an h-index of 27. Recent research explores ChatGPT integration, ethics in Learning Analytics, and AI-driven assessment tools. He has delivered invited talks at institutions like the University of Valladolid (2024) and coordinates the 'Teachers' Fast-paced Distance Training on Tele-education' project. Awards include three international best paper awards and recognition for his 'Cubes Coding' project. Key Research Contributions: Developed frameworks for Conversational Agents in CSCL Innovated Computational Thinking pedagogy through robotics Explored ethics and culture in Learning Analytics adoption Created Python-based MOOCs for non-programmers He has taught courses like Human-Computer Interaction and Learning Analytics, and led short programs on Conversational AI. His collaborations span institutions in Spain, Denmark, and Greece. ORCID: 0000-0002-1561-6372; Google Scholar, Semantic Scholar, and Scopus profiles list his extensive output.

Diane Poulin-Duboisمشاهده پروفایل

استاد

• Cognitive Development
• Language Development
• Bilingualism
• +۵ مورد دیگر

Diane Poulin-Dubois is a Full Professor in the Department of Psychology at Concordia University's Faculty of Arts and Science, where she serves as Thesis Supervisor and leads the Cognitive and Language Development Lab within the Centre for Research in Human Development (CRDH). Her research significantly contributes to understanding early cognitive and language development in infants and young children. She earned her PhD from Université de Montréal followed by postdoctoral fellowships at McGill University and Harvard University, establishing her expertise in developmental psychology. Her educational background forms the foundation for her innovative research approaches. Professor Poulin-Dubois's research focuses on cognitive development (including categorization, selective trust, and theory of mind) and language development (particularly bilingualism). Her work examines how children learn about objects and people in their environment, with recent emphasis on children's interactions with social robots. She investigates whether toddlers attribute mental states to robots, how they determine whom to trust for information, and whether bilingualism provides cognitive advantages during early development. Her publication record shows a clear evolution toward human-robot interaction research, with numerous 2023-2025 papers examining children's trust in robots versus humans, anthropomorphism of technology, and theory of mind development in technological contexts. This represents a significant expansion of traditional developmental psychology into emerging technological domains. Her scholarly impact has been recognized with prestigious awards: 2019 Pickering Award for outstanding contributions to developmental psychology in Canada 2016 Prix Acfas Thérèse Gouin-Décarie for social science 1996 Prix du meilleur article de vulgarisation scientifique de l'ACFAS Professor Poulin-Dubois has successfully secured funding from major agencies including NSERC, SSHRC, and NICHD. Her mentorship has shaped numerous successful careers, with former students including Ilana Frank-Mor (BA 89, MA 93, PhD 99), Susan Graham (MA 90, PhD 96), and Sabrina Chiarella (BA 07, MA 10, PhD 15). Several students have won Graduate Research Communicator of the Year Awards under her guidance. She directs the Cognitive and Language Development Lab, which actively collaborates with international research teams in Italy, Singapore, and the US. The lab's current focus includes examining children's trust in robot versus human informants, investigating the cognitive effects of bilingualism, and exploring the developmental origins of selective social learning. The lab regularly recruits volunteers and welcomes prospective graduate students interested in cutting-edge developmental research.

Betty Tärningمشاهده پروفایل

پژوهشگر

• Cognitive Science
• Educational Technology
• Human-Computer Interaction
• +۵ مورد دیگر

Betty Tärning is a researcher at the Department of Philosophy, Lund University , specializing in Cognitive Science and Educational Technology . She is affiliated with the eSSENCE: The e-Science Collaboration and contributes to the LU Profile Area: Natural and Artificial Cognition . Her work focuses on digital learning environments, pedagogical agents, and feedback systems. Email: betty.tarning@lucs.lu.se Office: LUX:B467, Helgonavägen 3, Lund Research Interests: Tärning investigates how virtual reality and educational games can enhance learning outcomes, particularly in middle school and early childhood education . Her recent work explores robotic emotional expression and feedback neglect in digital contexts. Article Trends: Recent publications emphasize human-robot interaction , virtual learning environments , and feedback mechanisms in educational games. She integrates cognitive modeling with pedagogical design to address challenges in digital literacy and student engagement . Projects & Collaborations: Active in initiatives like DeSIDE: Designing Sustainable Digital Work and Virtuellt klassrum som forskningsplattform , she collaborates across disciplines, including with Pufendorf IAS and Humanities Lab . Her network includes researchers from Sweden , Europe , and North America .

Ines Zeitlhoferمشاهده پروفایل

پژوهشگر

• Digital Learning
• Educational Technology
• Metacognition
• +۳ مورد دیگر

Ines Zeitlhofer is a PhD student and Research Assistant at the Department of Educational Science, University of Salzburg, affiliated with the School of Education. Her research focuses on metacognition and problem-solving in digital learning environments, with a particular emphasis on pedagogical agents and multimedia learning. Prior to this role, she earned a Master of Educational Sciences from the University of Salzburg and worked as a teacher at Group Scolarie Sophie Barat in Paris and a lecturer for Business German at the Université Paris Cité’s Faculty of Law and Economics. Her work explores cognitive and metacognitive strategies to enhance learning performance, leveraging digital tools and multimedia approaches. Recent publications highlight her contributions to understanding appraisal processes in multimedia learning, the impact of pedagogical agents on motivation, and the application of cognitive prompts in digital platforms. Ines is part of the Digital Learning Research Group (DLRG), collaborating on projects that bridge educational theory and technological innovation. She holds no explicitly stated awards but is actively engaged in advancing evidence-based practices in digital education.

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.

Guannan Liuمشاهده پروفایل

استادیار

• Cybersecurity
• Network Security
• System Security
• +۴ مورد دیگر

Guannan Liu is an Assistant Professor of Computer Science at the Colorado School of Mines, specializing in cybersecurity and network security. He holds a Ph.D. in Computer Engineering from Virginia Tech (2023) and a BS from Purdue University (2016). His research focuses on system/network security, human-factor security, cloud computing security, and user authentication mechanisms. He has identified critical vulnerabilities in online services, collaborating with major tech firms to address resource mismanagement issues. Dr. Liu's work has been published in top-tier security conferences. He actively seeks motivated students for cybersecurity research projects. His honors include a Student Travel Grant for DSN 2022 and academic recognition through Dean’s List distinctions. His research bridges theoretical insights with practical impact, particularly in identifying real-world system vulnerabilities through comprehensive measurements. Key areas of exploration include container registry typosquatting, cloud gaming service misuse, DNS query analysis, and acoustic side-channel attacks on IoT devices. His interdisciplinary work integrates software engineering, artificial intelligence, and network measurement techniques to enhance security across diverse systems.

Ryan P. McMahanمشاهده پروفایل

دانشیار

• Extended Reality (XR)
• Virtual Reality (VR)
• Learning Sciences
• +۳ مورد دیگر

Dr. Ryan P. McMahan is an Associate Professor of Computer Science and Learning Sciences at the University of Central Florida (UCF), leading the eXtended Reality & Training (XRT) Lab. He holds a Ph.D. from Virginia Tech (2011) and has expertise in leveraging XR/VR technologies for training and education. His work emphasizes enhancing learning outcomes through immersive systems, with over $3.4M in secured funding. He is an NSF CAREER Award recipient and authored the textbook 3D User Interfaces: Theory and Practice (2nd Ed.). Education Ph.D. Computer Science, Virginia Tech (2011) M.S. Computer Science, Virginia Tech (2007) B.S. Computer Science, Virginia Tech (2004) Research Interests focus on XR/VR applications in education, human-computer interaction, and training systems. Key areas include interaction fidelity, personalized learning, and embodied cognition in virtual environments. Awards include the NSF CAREER Award and teaching accolades such as UCF’s 2023 Excellence in Graduate Teaching Award. His research has generated 5,000+ citations with a h-index of 26. Professional Engagement includes roles as IEEE TVCG Associate Editor and organizer of ICAT-EGVE 2020. He mentors students in UCF’s Mixed Reality Engineering Graduate Certificate program and advises initiatives like Girls Who Code.