جست‌وجوی استاد و پژوهشگر

Chia Chienمشاهده پروفایل

استاد آموزشی

• Computer Science Education
• Active Learning Strategies
• Learning Assistants Model
• +۱ مورد دیگر

Chia Chien serves as a Teaching Professor in the Department of Computer Science within Rowan University's College of Science & Mathematics. She currently coordinates three key academic programs: Introduction to Object-Oriented Programming (IOOP), Introductory and Advanced Learning Assistant Seminars, and Computer Field Experience. Her teaching responsibilities for Fall 2025 include CS 04.113 (IOOP) for both regular and honors sections, and CS 99.300 (Computer Field Experience). Her research focuses on pedagogical innovation in computer science education, with primary interests in active learning methodologies, implementation of Learning Assistants models, and cooperative education frameworks. She emphasizes practical skill development through structured curricula that integrate industry experiences with classroom learning. Outstanding Teaching in Computer Science Award from Conference of NJ/NY Computer Science Department Chairs (2019) Professor Chien actively mentors students through course coordination and field experience supervision, connecting academic work with professional development opportunities. She serves as a key resource for computing students navigating internship placements and cooperative education programs, maintaining regular office hours and utilizing Rowan Success Network for student engagement. Her administrative responsibilities include managing course materials, syllabi, and academic integrity compliance across multiple sections.

• 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.

• Computer Science Education
• Formal Methods in Education
• Digital Skills Training
• +۳ مورد دیگر

Casey Hopkins is a Senior Lecturer in the Department of Computer Science at Swansea University, affiliated with the Faculty of Science and Engineering. She holds a basic proficiency in Welsh and is based at the Computational Foundry on Bay Campus. Her research focuses on computer science education, formal methods implementation in schools, and the development of stackable micro-credential systems through digital bootcamps. Teaching responsibilities include modules such as Programming 2 (CS-115) and Teaching Computing via School Placement (CSC390), which integrates practical school mentorship for aspiring educators. Her work bridges academic research with practical educational initiatives, emphasizing curriculum innovation and digital skills training. Recent publications highlight her contributions to formal methods integration in K-12 education and the evaluation of micro-credential programs. She actively contributes to international conferences and collaborates with institutions to advance computing education standards.

• Data Mining
• Machine Learning
• Network Science
• +۵ مورد دیگر

Tina Eliassi-Rad is the Inaugural Joseph E. Aoun Professor at Northeastern University . She is also an external faculty member at the Santa Fe Institute and the Vermont Complex Systems Center . Her research lies at the intersection of Artificial Intelligence , Network Science , and their societal implications . Research Interests Data Mining & Machine Learning Network Science & Complex Systems Artificial Intelligence & Society Trustworthy Network Science Just Machine Learning Recent Article Trends Her recent work focuses on Graph Neural Networks , Hypergraph Mining , Adversarial Attacks , Algorithmic Fairness , and Human-AI Coevolution . Publications explore topics like Information Inequality , Network Resilience , and Explainable AI . Scientific Awards Inaugural Joseph E. Aoun Professor at Northeastern University Advising & Grants Current Students : Wan He (Network Science PhD), David Liu (CS PhD), Zohair Shafi (CS PhD), Samantha Dies (CS PhD) Major Funders : Defense Advanced Research Projects Agency (DARPA), National Science Foundation (NSF), Army Research Lab (ARL), Defense Threat Reduction Agency (DTRA), Lawrence Livermore National Laboratory (LLNL), MIT Lincoln Laboratory (MITLL), Volkswagen Foundation, PricewaterhouseCoopers (PwC), Washington Post Labs Labs & Teams She leads the RADLAB at Northeastern University and collaborates with the Network Science Institute . Her team includes postdoctoral researchers and PhD candidates working on AI, network science, and cybersecurity.