جست‌وجوی استاد و پژوهشگر

Seth Poulsenمشاهده پروفایل

استادیار

• Computer Science Education
• Computing Theory Education
• Algorithm Education
• +۳ مورد دیگر

Seth Poulsen is an Assistant Professor in the Department of Computer Science at Utah State University. His research focuses on developing and evaluating software tools for computer science education, particularly in algorithms and computing theory. He created Proof Blocks, an interactive tool to teach mathematical proofs, and conducts educational data analysis projects. Previously, he completed a Ph.D. in Computer Science at the University of Illinois and worked as a Software Engineer at Amazon, contributing to Kindle-related projects. Education: Ph.D. in Computer Science, University of Illinois Software Engineering Experience at Amazon (Kindle Web Rendering & Kindle Lite Android App) Research Interests: Computing Education Tools (e.g., Proof Blocks) Algorithm and Theory Pedagogy Autograded Educational Assessments Educational Data Analysis His work emphasizes bridging theoretical computing concepts with practical learning tools, aiming to enhance student engagement and understanding in core computer science areas.

• Design
• Industrial Design
• Creative Practice
• +۳ مورد دیگر

Gersende Chevalier is a **Part-time Assistant Professor** at **Parsons School of Design**, part of **The New School**. She is based at the Parsons Paris campus and teaches courses in design and industrial design. Her office is located at **66 West 12th Street**, New York. While her formal education background is not detailed in the provided text, her affiliation with Parsons School of Design suggests expertise in design disciplines. Her teaching roles (e.g., Design Studio 3, ID Studio 3) imply a focus on studio-based pedagogy, spatial design, and creative problem-solving in design education. Her research interests likely align with contemporary design practices, urban design contexts, and interdisciplinary approaches to design education, given her course offerings. No specific publications or awards are mentioned in the text. Gersende has taught courses such as *Design Studio 3* (PUID 3010) and *ID Studio 3* (PAID 1022) in recent semesters, including Fall 2024 and Spring 2025. No advising or grant details are provided. No lab or team affiliations are listed in the text.

Vanessa Parsonمشاهده پروفایل

مدرس ارشد

• Cognitive Psychology
• Perception and Attention
• Psychology of Learning
• +۴ مورد دیگر

Dr. Vanessa Parson serves as Associate Head of School of Psychology and Public Health (0.5 FTE) and Academic Development Partner (0.5 FTE) at the University of Sunderland. She is a Senior Fellow of the Higher Education Academy with extensive experience across cognitive psychology, educational technology, and assessment innovation. Her research interests span cognitive psychology with specialization in perception and attention, the psychology of learning, cyberpsychology, and the impact of technology on education. She has particular expertise in how musical training affects cognitive processing and how technological aspects of everyday life enhance learning experiences. Her recent work focuses on the implications of artificial intelligence for assessment practices and educational design. Analysis of her publication record reveals a clear evolution from neuropsychological research in visual attention (early 2000s) to virtual learning environments (2008-2011), then to social media behavior (2017-2021), and most recently to AI applications in education (2021-2024). Her work consistently bridges theoretical psychology with practical educational applications, demonstrating interdisciplinary approaches across cognitive science, educational technology, and social psychology. Professional Recognition: Senior Fellow of the Higher Education Academy Dr. Parson actively supervises PhD students, including directing research on cyberstalking and obsession. Within her Academic Development Partner role, she leads the Assessment Innovation Programme's Artificial Intelligence Applications strand and co-leads the assessment change: Principles to Practice strand, working with academics across the institution to facilitate changes in practice. She has also authored two editions of "Communication and Study Skills in Psychology," demonstrating her commitment to student development.

Chelsea Gillespieمشاهده پروفایل

استاد مدعو

• Theater Production
• Stage Management
• Dance Theater
• +۳ مورد دیگر

Chelsea Gillespie is an Adjunct Instructor in Drama at Vassar College, appointed since 2024. She holds a BA in Theater and Dance from The College of Wooster (2013). Her professional career includes extensive stage management roles with renowned institutions such as the Alvin Ailey American Dance Theater, Brooklyn Academy of Music, and the John F. Kennedy Center for Performing Arts. Gillespie has toured globally, blending artistic collaboration with educational outreach. Education: Bachelor of Arts in Theater and Dance, The College of Wooster Research & Teaching Focus: Gillespie emphasizes creative problem-solving methodologies in stage management education. Her classes encourage students to develop personalized artistic approaches. She currently teaches DRAM-213: Introduction to Stage Management in Production at Vassar. Professional Affiliations: Stage Manager for Ailey II, Dance Africa, and The Fringe Festival Collaborations with Parsons Dance, Satellite Collective, and The Stella Adler Studio of Acting Teaching & Outreach: Beyond production work, she engages in guest lecturing and curriculum development, prioritizing interdisciplinary creativity.

Matthew Spencerمشاهده پروفایل

استادیار

• Analog Circuit Design
• RF Circuit Design
• MEMS Relays
• +۸ مورد دیگر

Matthew Spencer is an Assistant Professor of Electrical Engineering at Harvey Mudd College, where he teaches core courses in systems engineering, analog design, and radio frequency circuits. He is based in the College of Engineering and actively leads the Analog Circuit Engineering (ACE) Lab in Parsons 2381, mentoring undergraduate students in hands-on research and design. His research focuses on analog and RF circuit design , MEMS relays , marine ultrasound systems , and programmatic circuit generation . He integrates engineering with educational innovation, emphasizing experiential learning and collaborative problem-solving. His work bridges technical design and pedagogical development, training students to become circuit experts and independent researchers. Matthew Spencer has developed numerous open-source tools and educational resources, including circuit simulators, lab curricula, and software for automated design. He is deeply committed to improving engineering education through accessible, practical, and inquiry-driven learning experiences. His teaching includes courses such as E79 (Introduction to Systems Engineering), E80 (Experimental Engineering), E151 (Introduction to Analog Design), and E157 (Radio Frequency Circuit Design), all featuring project-based labs and mastery-based assessment. He leads the ACE Lab, a vibrant research and learning space where students engage in cutting-edge analog circuit projects and interdisciplinary exploration. The lab emphasizes technical excellence, communication, and persistence in research. While specific scientific awards and publications are not listed in the provided text, his work has been featured in IEEE Spectrum, and he maintains a Google Scholar profile. No advisees are explicitly mentioned. His contact is managed through institutional channels, with availability coordinated via calendar access.

Tiffany Barnesمشاهده پروفایل

استاد

• AI in Education
• Programming Education
• Intelligent Tutoring Systems
• +۳ مورد دیگر

Dr. Tiffany Barnes is a Professor at North Carolina State University, focusing on AI-driven educational technologies and equitable computing education. Her work bridges computer science pedagogy with cognitive science, particularly in intelligent tutoring systems and metacognitive skill development. She leads research on LLM applications in education, programming education tools like Jigsaw and MerryQuery, and initiatives to increase diversity in STEM. Her research explores how cultural barriers impact international students and develops frameworks to support K-12 teachers in integrating computational thinking. Barnes collaborates with educators and institutions to design scalable interventions that improve persistence in computing, particularly for underrepresented groups. Key tools include Pinpoint for code analysis and Block-Based Learning environments for novice programmers. Barnes’ recent efforts emphasize ethical AI in education, participatory design with teachers, and project-based curricula like Computer Science Frontiers for high school students. Her work spans NSF-funded projects, teacher professional development programs, and equity-focused research to democratize access to computing education.

Anna Nedlinمشاهده پروفایل

مدرس

• French Language Education
• Second Language Acquisition
• French Literature
• +۳ مورد دیگر

Anna Nedlin is an Adjunct Lecturer at the University of Arizona, based in the Modern Languages Office. She holds a BA in French Language Teaching from Foreign Languages Teachers Training College (Wrocław, Poland), an MA in French Literature from SUNY Stony Brook, and an MFA in Design and Technology from Parsons School of Design. Prior to joining Arizona in 2018, she taught French for eight years at Aspen Country Day School in Aspen, CO. Education: BA (Wrocław), MA (SUNY Stony Brook), MFA (Parsons) Her pedagogical philosophy emphasizes French as a vital 21st-century skill, fostering critical thinking, problem-solving, and cross-cultural understanding. She advocates for language education as a tool to enrich global citizenship and improve societal well-being. Her teaching integrates technology and cultural immersion to enhance language acquisition. No academic awards or grants are explicitly mentioned in the provided text. She has not listed advised students or research articles in the available materials. No labs, teams, or collaborative projects are described in the text.

• Combinatorics
• Graph Theory
• Discrete Mathematics
• +۳ مورد دیگر

Dr. Ku Cheng Yeaw is a Senior Lecturer at the Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University (NTU). He holds a PhD from Queen Mary, University of London (2005) and has held prior academic positions at the California Institute of Technology (Harry Bateman Research Instructor, 2005–2008) and the National University of Singapore (Visiting Fellow/Lecturer/Senior Lecturer, 2008–2016). His research focuses on combinatorics, graph theory, and discrete mathematics, with notable contributions to eigenvalue analysis, intersecting families, and extremal set theory. He has an extensive publication record spanning over two decades, addressing topics such as hypergraphs, permutation patterns, and spectral properties of graphs. Dr. Ku has not been explicitly noted for awards or student advisement in the provided text.

Susan H. Rodgerمشاهده پروفایل

استاد

• Computer Science Education
• Educational Software
• Programming Pedagogy
• +۳ مورد دیگر

Susan H. Rodger is a Professor of the Practice in the Department of Computer Science at Duke University , where she has served since 2008. She also holds the role of Director of Undergraduate Studies in the same department since 2018. Purdue University · 1989 Ph.D. in Computer Science N.C. State University · 1983 BS in Computer Science and Mathematics Her research focuses on Computer Science Education , particularly on tools and methods to enhance learning. She has contributed to the development of JFLAP and Alice , which are widely used for teaching automata theory and programming through animation. Her recent work explores Parsons Problems as a pedagogical approach to reduce novice programming challenges. Her publications highlight trends in interactive learning and multi-institutional studies , emphasizing the integration of empirical research with educational software. These works span topics like syntax mastery, algorithm design, and debugging techniques for beginners. Scientific Awards: IEEE Computer Society 2019 Taylor L. Booth Education Award Outstanding Educator 2014 She has advised numerous undergraduate research students , particularly in projects involving tools like Alice and JFLAP. Her grants include funding from the National Science Foundation, notably for the ACM Global Computing Education Conference and collaborative research on Peer Instruction in CS . She leads initiatives such as the Duke ACM-W chapter and Duke Grad Job Board, fostering student engagement and professional development in computing.

• Computer Science Education
• Educational Technology
• Mastery Learning
• +۳ مورد دیگر

Daniel D. Garcia is a Professor in the Department of Computer Science at the University of California, Berkeley. He specializes in computer science education, focusing on innovative teaching methods, mastery learning, and the development of educational technology tools. His work includes contributions to platforms like Snap!, Prairielearn, and GradeSync, which aim to enhance student engagement and learning outcomes through adaptive and automated systems. Research Interests Computer Science Education: Developing curricula and tools for K-12 and university-level instruction. Educational Technology: Designing interactive tools like Snap! and automated assessment systems. Mastery Learning: Implementing policies and systems to improve student success in computing courses. Cybersecurity Education: Integrating security concepts into introductory computing courses. Articles Trends Recent work emphasizes tools for automated assessment (e.g., Checkpoint, GradeSync), mastery learning systems, and interactive programming environments. He also explores the impact of course policies on student performance and sentiment. Awards No specific awards listed in the provided texts. Advising & Grants Collaborates with teams on grants related to educational technology and curriculum development, though specific grants are not detailed here. Advises students on projects related to the Beauty and Joy of Computing (BJC) curriculum and Snap! development. Labs/Teams Part of the BJC curriculum development team and leads initiatives at UC Berkeley for improving computing education through technology and pedagogy innovation.

• Computer Science Education
• Programming Education
• Adaptive Learning Systems
• +۶ مورد دیگر

Barbara Ericson is a Professor in the Computer Science and Engineering department at the University of Michigan, Ann Arbor. Her research focuses on computer science education, programming pedagogy, and broadening participation in computing. She has developed innovative educational tools including interactive ebooks and Parsons problems for teaching programming concepts. Dr. Ericson's research interests span multiple areas of computer science education including adaptive learning systems, CS teacher professional development, and broadening participation in computing, particularly for underrepresented groups. She has pioneered work on Parsons problems as learning tools and has extensively researched how to make computer science education more accessible and effective. Her recent work has focused on AI literacy and the integration of large language models in programming education. Her publication record shows a clear trend toward integrating AI technologies into computer science education while maintaining a strong focus on equity and accessibility. The majority of her recent articles address how to effectively use AI tools like large language models in programming education, develop AI literacy among students, and create more inclusive computing classrooms. Her work bridges educational theory with practical classroom applications. Dr. Ericson has received recognition for her work in broadening participation in computing, particularly through initiatives like Sisters Rise Up and Project Rise Up 4 CS which support underrepresented students in Advanced Placement Computer Science courses. She has been instrumental in developing the Runestone Interactive platform for free, open-source computer science ebooks and has conducted extensive research on how teachers and students use these resources. Her work on adaptive Parsons problems has influenced programming pedagogy across multiple institutions.

Craig Zillesمشاهده پروفایل

استاد

• Computer Science Education
• Learning Analytics
• Computer Architecture
• +۷ مورد دیگر

Craig Zilles is a Professor and Severns Faculty Scholar in the Department of Computer Science at the University of Illinois at Urbana-Champaign. His primary affiliation is within the College of Engineering. He holds a Ph.D. from the University of Wisconsin-Madison (2002), where his research focused on compiler-architecture interactions and speculation techniques. Research Interests: Zilles' work spans computing education (e.g., computer-based testing, learning analytics, concept inventories) and computer architecture (e.g., compilers, dynamic optimization, managed languages). He pioneered the Computer-based Testing Facility (CBTF), a platform revolutionizing assessment practices in STEM education. Awards & Recognition: Recipient of the NSF CAREER Award, IEEE Micro Top Picks, ASPLOS Best Paper Awards (2010, 2013), and numerous teaching accolades including the Excellence in Undergraduate Teaching Award (2018) and the IEEE Education Society's Mac Van Valkenburg Early Career Teaching Award (2010). Teaching: Instructs courses such as CS 105 (Intro Computing for Non-Tech), CS 233 (Computer Architecture), and advanced topics in computer science education. Known for innovative pedagogical approaches, including mastery-based grading and automated assessment systems. Labs & Projects: Leads the CBTF initiative and contributes to PrairieLearn, an open-source platform enabling adaptive, randomized problem generation. His research also explores AI-driven autograding and anti-plagiarism strategies in the age of generative AI.

Xu Wangمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Educational Technologies
• Artificial Intelligence
• +۴ مورد دیگر

Xu Wang is an Assistant Professor in the Department of Computer Science and Engineering at the University of Michigan, with a courtesy appointment in the School of Information. Her research focuses on developing human-AI collaborative techniques to support education, particularly in scalable teaching and medical training. Her work includes AI systems for instructors, AR-based surgical learning tools, and generative AI for educational resources. Education: Ph.D. in Human-Computer Interaction from Carnegie Mellon University (advisors: Ken Koedinger and Carolyn Rose); M.Ed. from Harvard Graduate School of Education; B.Sc. from Beijing Normal University. Research Interests: Human-AI collaboration in education, AR systems for surgical training, AI-driven question generation, and teacher-AI collaboration in STEM education. Her lab, the Lifelong Learning Lab, explores intersections of HCI, learning sciences, and AI to optimize human learning. Scientific Awards: NSF awards for surgical training and teacher-AI collaboration, CHI Best Paper Honorable Mention (2024), LAK Best Short Paper Award (2024), and CSCW Best Paper Honorable Mention (2020). Grants: Multiple NSF-funded projects, including $1.2M for surgical training tools and $200K for teacher-AI collaboration in video-based STEM resources. Advises Ph.D. students in areas like medical AR, AI feedback systems, and educational data analytics. Labs/Teams: Leads the Lifelong Learning Lab, collaborating with researchers in medicine, computer science, and education to develop AI-driven educational tools and medical training systems.

Barbara Ericsonمشاهده پروفایل

دانشیار

• Computing Education
• Learning Analytics
• Artificial Intelligence
• +۵ مورد دیگر

Barbara Ericson is an Associate Professor at the University of Michigan, holding dual appointments in the School of Information and the Department of Electrical Engineering and Computer Science in the College of Engineering. She specializes in computing education, learning analytics, and artificial intelligence, with a focus on interactive e-books, adaptive learning tools, and increasing diversity in STEM. Her work includes developing the CSAwesome curriculum and the Rise UP 4 CS initiative to support underrepresented students in AP Computer Science. Ericson earned her PhD in Human-Centered Computing from Georgia Tech, an MS in Computer Science from the University of Michigan, and a BS in Computer Science from Wayne State University. Her research has been recognized with prestigious awards, including the ACM Karl V. Karlstrom Outstanding Educator Award (2010) and the A. Richard Newton Educator ABIE Award (2012). Her research emphasizes active learning strategies like adaptive Parsons problems, which break down programming tasks into manageable steps. She also explores AI literacy in K-12 and higher education, leveraging large language models (LLMs) to enhance learning. Ericson’s platforms, such as Runestone Interactive, provide free, interactive textbooks with tools for peer instruction and data-driven analytics to improve educational outcomes. Ericson’s efforts in broadening participation in computing include multi-state initiatives and mentorship programs. She has conducted multi-institutional studies on Parsons problems and their impact on novice programmers. Her work on the Tutor Engagement Assistant (TEA) promotes effective teaching assistant-student interactions. Her honors include the Foley Scholar distinction at Georgia Tech (2016) for doctoral excellence. Current projects focus on AI-supported learning tools, equity in CS education, and scaling interactive e-book adoption globally.

Paul Wiegandمشاهده پروفایل

دانشیار

• Machine Learning
• Optimization
• Natural Computation
• +۳ مورد دیگر

R. Paul Wiegand is an Associate Professor in the Department of Computing & Information Sciences at Winthrop University's College of Business Administration. He holds a Ph.D. in Computer Science from George Mason University (2004), an M.S. from the University of North Carolina-Charlotte (1999), and a B.S. from Winthrop University (1996). His research focuses on machine learning, optimization, natural computation, multiagent systems, and probabilistic reasoning, with recent work exploring novelty search algorithms and coevolutionary methods. He has held roles at the University of Central Florida and the Navy Center for Applied Research in Artificial Intelligence. Dr. Wiegand's pedagogical approach emphasizes contextual learning and student engagement. He actively organizes academic events like the Winthrop SMACS Programming Competition and co-leads the interdisciplinary Mathematics & Computer Science student seminar. His research projects include NSF-funded work on coevolutionary peer-instruction systems and DoD-funded smart network routing algorithms. He also explores foundational theory for swarm-based task allocation and decentralized systems. Key research contributions include studies on robust path tracking, evolutionary programming for Parsons puzzles, and multiagent learning dynamics. His work bridges theoretical computer science with practical applications in education, robotics, and network optimization. Beyond academia, he plays in the bands Read-Only Time Travel and PhyNight , contributing to local music scenes in South Carolina.