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Kathy B. EwoldtView profile

Assistant Professor

• Special Education
• Learning Disabilities
• English Learners
• +3 more

Dr. Kathy B. Ewoldt serves as Assistant Professor of Special Education within the College of Education and Human Development at the University of Texas at San Antonio. Leveraging seven years of public-school teaching experience in 6th-12th grade inclusion and resource classrooms, she specializes in improving academic outcomes for culturally and linguistically diverse students with disabilities in urban educational settings. Her research program centers on evidence-based writing interventions for students with learning disabilities and English learners, strategic promotion of STEM career pathways for students with disabilities, implementation of assistive technologies in K-12 education, and comprehensive policy development for service animals in schools. She has co-authored the authoritative text Service Animals in Schools: Legal, Educational, Administrative, and Handling Aspects and publishes in premier journals including Teaching Exceptional Children , Dyslexia , and Learning Disabilities: A Multi-Disciplinary Journal . Analysis of her 15 most recent publications (2020-2025) reveals three dominant research thrusts: (1) targeted literacy interventions for English learners with disabilities emphasizing color-cued writing strategies and paragraph construction; (2) assistive technology applications in computer science education for students with vision impairments; and (3) expanding social-emotional learning frameworks and STEM accessibility for neurodiverse learners. Her work consistently bridges research-practice gaps through rigorous methodology and equity-focused design. Dr. Ewoldt's scholarly impact is recognized through prestigious awards including the UTSA President’s Distinguished Faculty Achievement Award (2022) and Council for Learning Disabilities Outstanding Researcher Award (2021). Her complete honors portfolio features: Association of Teacher Educators Clinical Practice Fellow (2018) Council for Exceptional Children Division of Research Doctoral Student Scholar (2017) Council for Learning Disabilities Leadership Institute (2017) 41st Electronic Combat Squadron Airman of the Year (1990) Air Force 12 Outstanding Airman Nominee (1989) 41st Electronic Combat Squadron Maintenance Professional of the Year (1989) She actively directs national and state grant initiatives advancing educational equity for diverse learners, with current projects developing semantics-oriented screen readers for coding education and expanding STEM career pipelines for students with disabilities. While specific advisees aren't documented in source materials, her extensive publication record and grant leadership indicate significant mentorship of graduate researchers in special education.

Kelly Chandler-OlcottView profile

Professor

• Classroom Inquiry by Teachers
• Literacy Across the Curriculum
• Preparing Professionals to Teach Writing in Diverse and Inclusive Classrooms
• +8 more

Kelly Chandler-Olcott is currently the Dean and Laura J. and L. Douglas Meredith Professor for Teaching Excellence at Syracuse University's School of Education. A former high school English and social studies teacher, she has taught secondary and K-12 education majors for nearly 25 years while actively contributing to academic leadership as associate dean for research, department chair, and program coordinator. Ed.D. in Curriculum and Instruction from the University of Maine (1998) Her research focuses on: Teacher-led classroom inquiry Literacy integration across disciplines Training educators to teach writing in inclusive settings Recognized for her scholarship, she received the International Literacy Association’s Computers in Reading Research Award (2019) and the Divergent Book Award (2021). Her work has been supported by the National Science Foundation, International Reading Association, and Spencer Foundation. She served as Literacy Research Association Board member (2010-2013) and co-editor of the Journal of Adolescent & Adult Literacy with Kathleen A. Hinchman (2015-2021).

Hanxiang DuView profile

Assistant Professor

• Learning Analytics
• Educational Data Mining
• Machine Learning
• +3 more

Hanxiang Du serves as an Assistant Professor at Western Washington University, specializing in data-driven educational technologies with research spanning K-12 computing education to medical training simulations. Her work bridges computational methods and pedagogical innovation across diverse learning environments. Education PhD, University of Florida Research Focus Dr. Du's program centers on extracting actionable insights from educational data through: Learning Analytics: Quantitative analysis of student interaction patterns to optimize instructional design Educational Data Mining: Algorithmic discovery of behavioral trends in large-scale learning datasets AI-Powered Adaptive Systems: Development of intelligent tutoring frameworks using machine learning K-12 CS Education Reform: Curriculum innovation for equitable computer science access Immersive Medical Simulation: Extended Reality (XR) applications for clinical skill acquisition Publication Trends Her scholarly output demonstrates consistent contributions to premier interdisciplinary venues including Computers and Education, IEEE COMPSAC, and ACM SIGCSE conferences. This pattern reveals dual engagement with educational research communities and computing education specialists, emphasizing data-intensive approaches to solve real-world teaching challenges across academic and clinical settings. Scientific Awards No awards or fellowships were documented in the provided materials. Advising and Grants Details regarding graduate student mentorship and externally funded research projects were not specified in the current profile.

Mara V. MartinezView profile

Associate Professor

• Mathematics Education
• Algebra Education
• Proof Education
• +2 more

Mara V. Martinez serves as Associate Professor and Director of the Office of Mathematics Education within the Department of Mathematics, Statistics, and Computer Science at the University of Illinois at Chicago. Her academic profile centers on advancing mathematics education through research-driven curriculum development and teacher preparation initiatives. She holds a PhD and maintains active professional affiliations with PME, PMENA, AERA, and NCTM. Her research program focuses on: Designing learning environments for algebra and mathematical proof that engage students in conjecture generation and proof construction Preparing pre-service teachers to build instruction around students' mathematical thinking Longitudinal studies of early algebra interventions and their impact on K-12 learning trajectories Analysis of her 2006-2013 publications reveals a cohesive research trajectory examining algebraic reasoning across grade levels, with particular emphasis on how students develop proof skills through algebraic tools and how teachers can scaffold this process. Her work consistently bridges theoretical frameworks with practical classroom applications. No scientific awards or honors were documented in the source material. Dr. Martinez has secured research funding from the National Science Foundation, including support for her current project 'A Library of High School Mathematics: Teaching and Learning Videocases.' While her directorship of the Office of Mathematics Education implies leadership in teacher preparation programs, the provided text does not specify any graduate students under her mentorship.

Teemu LeinonenView profile

Associate Professor

• New Media Design
• E-learning
• Collaborative Learning
• +9 more

Teemu Leinonen is an Associate Professor at Aalto University's Department of Media, leading the Learning Environments research group. His work bridges new media design with educational innovations. Research focus on e-learning, collaborative learning, and creative technologies Active in digitalization of education and design research Recipient of multiple grants and awards for educational technology Research areas include: AI integration in early childhood education Virtual reality applications for healthcare Open design pedagogy for sustainable learning Digital creativity and maker culture Collaborative group work solutions Cultural-historical approaches to technology His recent publications demonstrate interdisciplinary work combining computer science, education, and psychology, with focus on: Telepresence robotics for conflict resolution Algorithmic awareness in K-12 education VR-based medical education AI-augmented creative learning Open design methodologies Cultural-historical analysis of technology Scientific awards received: Excellence in Vocational Education and Training Education Technology Award (1999) eEemeli, Apps4Learning Award (2012) Innovative Educational Application Award (1997) Mindtrek, TeleCom Finland Award (1997) Grants include multiple awards from: Alfred Kordelin Foundation Kone Foundation Foundation for Economic Education

Jennifer AlbertView profile

Associate Professor

• STEM Education
• Computer Science Education
• Science Education
• +3 more

Jennifer Albert serves as Associate Professor at The Citadel, where she directs The STEM Center of Excellence and coordinates the M.Ed. in Interdisciplinary STEM Education program. Her academic home is within the Zucker Family School of Education in the Teacher Education department. Her research focuses on meaningful STEM/STEAM learning, teacher professional development, computer science education, engagement through visualization, and thoughtful use of instructional technology. Dr. Albert specializes in STEM educational evaluation and research with emphasis on K-16 computer science education, science education, educational assessment, and STEM classroom implementation. Her recent publications reveal a strong interdisciplinary approach combining computer science education with traditional STEM pedagogy. She has published on topics ranging from project-based learning in space science to evolutionary algorithms for problem generation and professional development for computer science principles instruction. Dr. Albert has worked on several grants specializing in broadening participation of underrepresented minorities in rural schools. She has experience teaching high school science and both undergraduate and graduate courses in Science Education, including Instructional Technology and Research Methods. Notably, she helped convert the science education Master's program to be completely online.

• Computer Science Education
• Artificial Intelligence Education
• K-12 Computer Science
• +5 more

Franz Jetzinger is a researcher at the Professorship for Computer Science Education (Lehrstuhl für Informatikdidaktik) at the Technical University of Munich (TUM), working under the direction of Prof. Dr. Tilman Michaeli. He is based at Marsstr. 20-22(2907)/IV, 80335 Munich, with his office in room 2907.04.446. Jetzinger teaches courses in the Computer Science Education program, including "digi4all - Kompetenzen für das Unterrichten in einer digitalen Welt" and "Übung zur Didaktik der Informatik" for both winter and summer semesters of 2024/25 and 2025. His research focuses on several key areas within computer science education, with particular emphasis on Artificial Intelligence and Machine Learning education for K-12 settings. He has developed and delivered professional development programs for computer science teachers, especially regarding AI integration into compulsory computer science classrooms. His work spans teacher training, curriculum development, and practical implementation strategies for bringing AI education to secondary school levels. Jetzinger's publications reveal a strong focus on AI education in K-12 settings, with multiple publications in 2023-2025 addressing scalable professional development for teachers and evidence-based approaches to teaching AI. His work also includes substantial contributions to German computer science textbooks for Bavarian high schools, covering topics from object-oriented modeling to AI education. Developed professional development programs for AI education Contributed to multiple computer science textbooks for Bavarian high schools Conducted research on debugging processes in learning environments Participated in the TRR419 SHARP research project Worked on the "Von Bits zu QuBits" quantum computing education initiative Through his work with the Bavarian Ministry of Education and various workshops, Jetzinger has been instrumental in implementing AI education across Bavarian schools, delivering numerous training sessions throughout 2024 and 2025 on both basic and advanced AI topics for teachers.

Veronica CateteView profile

Assistant Professor

• K-12 Computer Science Education
• Learning Sciences
• Human Computer Interaction
• +5 more

Dr. Veronica Cateté is an Assistant Professor in the Department of Computer Science at NC State University, specializing in K-12 Computer Science Education. Her research bridges Computer Science frontiers with the Learning Sciences, focusing on enabling broader participation in computing through curriculum design, teacher training, and game-based learning environments. Ph.D. in Computer Science (2018), NC State University M.S. in Computer Science (2012), UNC Charlotte B.S. in Computer Science (2010), NC State University Her recent publications highlight innovations in AI education , cybersecurity pedagogy , and game-based learning , with a focus on rural and underserved communities. Key trends include scaffolding designs for advanced learners and collaborative problem-solving frameworks. NSF Graduate Research Fellow (2012) Microsoft Research Scholar (2012) Best Paper Awards at ITICSE (2016-2017), SIGCSE (2022), and FDG (2014) Recipient of NC State's Equity for Women Award (2017) and Outstanding Dissertation Award (2018) Dr. Cateté mentors graduate and undergraduate students in the CEREAL Lab, guiding research on topics like human-computer interaction, AI for social justice, and educational equity for Black and Brown girls. Her grants include $1.17M from NSF for rural AI engagement programs and $598K for socially relevant computing initiatives. She is actively involved in study abroad programs (Rwanda) and national consortia like STARS Computing Corps, promoting diversity in computing through curriculum reform and community-building efforts.

Adam GawedaView profile

Assistant Professor

• Artificial Intelligence
• Computer Science Education
• Intelligent Agents
• +2 more

Adam Gaweda is an Assistant Teaching Professor in the Department of Computer Science at North Carolina State University. His research focuses on applying artificial intelligence to computer science education, with current work on improving lower-level computer science exercises and deliberate practice methods for students. His educational background includes: Ph.D. in Computer Science from North Carolina State University (2023) M.S. in Computer Science from University of North Carolina Wilmington (2016) B.S. in Computer Science from University of North Carolina Wilmington (2013) B.A. in Theatre – Performance from University of North Carolina Wilmington (2013) Gaweda's research spans two main areas: computer science education and biometrics. His current work centers on developing AI-driven tools for computer science education, particularly in creating exercises that promote deliberate practice and using nudge theory to encourage student practice. Earlier, he explored biometric identification using facial dynamics and artificial face aging. His expertise includes artificial intelligence, intelligent agents, and educational technology. Analysis of his recent publications (2021-2023) reveals a strong focus on computer science education, especially the application of the ICAP framework (Interactive, Constructive, Active, Passive) to model student engagement. His work often involves designing platforms like TYPOS for typing exercises and studying collaborative coding camps for elementary students. The research integrates behavioral science (nudge theory) and learning theory to enhance student outcomes in programming courses. Prior to joining NC State, he served as the Lead Software Development Instructor at Cape Fear Community College and worked as a Systems Analyst and Research Developer for Efficient Energy Technology, a smart-thermostat company in Leland, North Carolina.

Sarah HeckmanView profile

Teaching Professor

• Computer Science Education
• Software Engineering
• Educational Technology
• +2 more

Sarah Heckman is a Teaching Professor and Director of Undergraduate Programs in the Department of Computer Science at North Carolina State University, where she holds the Alumni Distinguished Undergraduate Professor title as the department's first teaching-track faculty hire. Her work bridges computer science education and software engineering through empirical research on learning processes and educational tool development. Heckman earned all her degrees from NC State: B.S. (2004), M.S. (2005), and Ph.D. (2009) in Computer Science. As a graduate student, she received the IBM Ph.D. Fellowship three times. Her research centers on computing education (SOS-CER), investigating software engineering skill transfer, automated feedback systems, and student help-seeking behaviors in programming environments. She develops tools like EclipseMonitor for real-time data collection and examines pedagogical approaches across diverse student populations, with particular focus on inclusive teaching practices and educational technology integration. Recent publications reveal strong trends in computing education research methodology, student behavior analysis, and faculty development for teaching-track academics. Her work spans empirical studies on office hour dynamics, help resource ecosystems, and cross-national comparisons of CS education research, consistently emphasizing evidence-based interventions to improve learning outcomes. Heckman has received numerous teaching honors recognizing her educational impact. Computer Science 'Person of Exceptional Performance' (PEP) Award (2019) Alumni Distinguished Undergraduate Professor Award (2018) NC State Computer Science Outstanding Young Alumni Award (2017) NC State Academy of Outstanding Teachers (2015) Alumni Association Outstanding Teacher Award (2015) Google CS Engagement Award (2015) Carol Miller Undergraduate Lecturer Award (2014) Most Receptive Undergraduate Professor Outside of the Classroom (2013) IBM Ph.D. Fellowship (three-time recipient) She has advised graduate students including Brittany Johnson (2017, now Assistant Professor at George Mason University) and Kai Presler-Marshall (2022, now Lecturer at Bowdoin College). Her $4+ million in research funding spans nine major NSF grants addressing cybersecurity workforce development (SFS: $2.7M), K-12 CS education capacity building ($202k), undergraduate retention diagnostics ($60k), and peer teaching initiatives ($98k), with consistent focus on broadening participation for women and underrepresented groups. As Director of Undergraduate Programs, Heckman leads the Early Research Scholars Program (ERSP) and develops integrated teaching platforms for STEM education. She collaborates across campus on initiatives like the Computer Science Pathways grant to analyze student persistence patterns and implements evidence-based practices through the NC State Academy of Outstanding Teachers.

Dongkuan XuView profile

Assistant Professor

• Machine Learning
• Natural Language Processing
• Computer Vision
• +7 more

Dongkuan Xu is an Assistant Professor in the Department of Computer Science at North Carolina State University, leading the Generative Intelligent Computing (GIC) Lab. His research spans Artificial Intelligence , focusing on scalable, efficient, and reliable AI systems for large language models, diffusion models, and generative frameworks. Education Ph.D. in Computer Science, Pennsylvania State University (2022) M.S. in Optimization and Data Mining, University of Chinese Academy of Sciences (2017) B.E. in Information Management and System, Renmin University of China (2014) His research explores test-time adaptation, computational efficiency, and trustworthy AI through uncertainty-aware learning and robust generalization. Applications include Education , Robotics , Agriculture , Networking , and Healthcare . Recent work emphasizes hardware-algorithm co-design and domain-specific AI platforms like Synthora and Gentopia. His publications from 2024–2025 highlight advancements in Vision Transformers , Diffusion Models , Edge Computing , and Trustworthy AI , with grants from NVIDIA , Microsoft , and the National Science Foundation . Awards include the AAAI Best Demonstration Award (2025), NVIDIA Academic Grant (2025), and the Carla Savage Award (2024). He actively mentors undergraduate researchers and co-chairs workshops at top venues like DAC , CVPR , and KDD , aiming to democratize AI access and enhance its reliability across real-world domains.

• Information Technology Education
• Educational Technologies
• Computational Thinking
• +2 more

Ali Oluk is an Instructor (Lecturer) at Kastamonu University's Taşköprü Vocational School, Department of Medical Services and Techniques. He has been serving in this position since 2012 and was appointed as Vocational School Deputy Director from 2021-2024, with a continued appointment from 2025 onward. His academic work focuses on educational technologies, particularly computational thinking and programming education. Dr. Oluk received his Bachelor's Degree from Selçuk University's Ahmet Keleşoğlu Faculty of Education, Computer and Educational Technologies Teaching Program (2004-2008), followed by a Master's Degree from Amasya University's Institute of Science in Computer Education and Educational Technologies (2015-2017). His primary research interests lie in Information Technology Education and Educational Technologies . Dr. Oluk's work particularly focuses on computational thinking skills development, block-based programming environments like Scratch, algorithm development, and the integration of artificial intelligence in education. His research spans across various educational levels from elementary to higher education, with a special emphasis on how logical-mathematical intelligence relates to computational thinking. Dr. Oluk's scholarly impact is reflected in his publication record with 23 total publications, including 7 journal articles, 14 conference papers, and 2 book chapters. His work has accumulated 183 citations in the UNIS database and 490 citations in Google Scholar, with an h-index of 6 and 10 respectively. His research shows a clear trajectory from foundational work on Scratch programming to more recent investigations into artificial intelligence education. Ön Lisans Sağlık Bölümü Öğrencilerinin Yapay Zekâ İle ilgili Görüşleri (2024) - TÜBİTAK project where he served as Advisor İlk Devrem İlk Programım İlk Robotum (2018) - TÜBİTAK project where he served as Principal Investigator Dr. Oluk has taught numerous courses related to computer technologies, information systems, and documentation techniques at the vocational school level. His teaching portfolio includes courses such as 'Web Literacy and Information Access,' 'Computer Technologies,' 'Basic Information Technologies,' and 'Correspondence Techniques' across multiple academic years from 2013 to present.

Deon GarciaView profile

Senior Lecturer

• Mathematics Education
• Liberal Arts Mathematics
• Teacher Training in Mathematics
• +2 more

Deon Garcia serves as a Senior Lecturer and Director of Liberal Studies in the Department of Mathematics and Computer Science at the University of Redlands, where he has been a faculty member since 2003. His educational background includes: Coursework toward a Doctorate in Curriculum and Instruction, University of California, Riverside M.S. in Applied Mathematics, University of California, Riverside B.S. in Pure Mathematics, University of California, Riverside Garcia specializes in mathematics education with dual emphases: building calculus foundations for STEM students and developing accessible mathematical content for liberal arts audiences through topics like voting theory and apportionment. His work significantly focuses on teacher preparation, evidenced by sustained involvement in NSF-funded initiatives and national conferences aimed at improving mathematical pedagogy for K-12 educators. His notable recognitions include: California State PTA Continuing Service Award (2018) University of Redlands Outstanding Teaching Award (2017) University of Redlands Outstanding Teaching Award (2009) California State PTA Honorary Service Award (1999) Garcia has secured significant grant-supported roles including participation in NSF-funded Mathematics Preparation Initiative for middle school teachers and facilitation of Lesson Study programs through the Inland Counties Mathematics Project. His professional service extends to conference presentations on mathematical pedagogy for elementary teachers and STEM engagement for young women.

Oladele Oladunjoye CampbellView profile

Senior Lecturer

• Computer Science Education
• Novice Programming Education
• Generative AI
• +3 more

Dr. Oladele Oladunjoye Campbell is a Principal Lecturer (mapped to Senior Lecturer rank) at Niger State Polytechnic, Zungeru, Nigeria, with nearly three decades of experience in computer science education, administration, and research. His work focuses on improving computing pedagogy in African higher education contexts through evidence-based interventions and cross-institutional collaboration. His academic credentials include: PhD in Computer Science Education, University of South Africa (2022) MSc in Computer Science, University of Ibadan (2003) BSc in Computer Science, University of Ibadan (1994) Dr. Campbell's research centers on novice programming education with emphasis on constructionist approaches (e.g., Scratch), generative AI integration, and psychological factors like the impostor phenomenon. His work addresses critical gaps in computing education across Nigeria and Africa, particularly regarding gender disparities, academic progression, and culturally responsive teaching methods. He actively investigates how visual arts backgrounds influence programming achievement and develops practical tools for educational transformation. Analysis of his publication trajectory reveals increasing focus on context-specific challenges in African computing education, with recent work pivoting toward generative AI's disruptive potential. His studies consistently bridge theory and practice, emphasizing scalable interventions for resource-constrained environments while maintaining rigorous empirical validation through multi-institutional collaborations. His professional recognition includes: ACM Senior Member (2021) Dr. Campbell leads the Capstone Project Portal initiative—a Flask-based system with Google Apps Script integration for managing final-year projects—and is designing interactive tutorials for first-year programming courses. He serves on the Regional Advisory Committee for CompEd 2025 and has co-authored 'A Guided Introduction to C++ Programming.' His current projects include reflective-intervention designs for HND computing students and empirical studies on generative AI's impact in programming education. He maintains active collaborations with University of South Africa and University of Eastern Finland researchers while contributing to Nigeria's computing education ecosystem through teacher preparation program analysis and policy recommendations.

Adrian DegondaView profile

Lecturer

• Digital Games in Education
• Augmented Reality in Teacher Training
• Computer Science Didactics
• +2 more

Adrian Degonda is a lecturer at the Zurich University of Teacher Education ( PH Zurich ), specializing in media education and computer science didactics. He focuses on integrating augmented reality , digital games , and AI tools into teacher training and K-12 education, particularly for secondary school computer science instruction. Key research areas include AR in teacher education , game-based learning , and pedagogical game design Collaborates with ETH Zurich and PH FHNW on immersive learning technologies Develops AI-supported educational escape games and AR visualization tools His recent publications examine: Impact of Microsoft HoloLens on student teacher motivation Critical factors in AR technology adoption for science education Development of digital literacy frameworks for Swiss teacher training Interdisciplinary ethnology-computer science projects using embroidery data visualization Current projects include: Net Zero simulation game about sustainable construction Computer Science in Schools initiative across German-speaking Switzerland