جستجوی استاد راهنمای دانشگاهی

Jessica Swensonمشاهده پروفایل

استادیار

• Engineering Education
• Undergraduate Engineering Pedagogy
• Epistemological Framing
• +۴ مورد دیگر

Jessica Swenson is an Assistant Professor in the Department of Engineering Education at the University at Buffalo's School of Engineering and Applied Sciences. Her work focuses on engineering education methodologies, particularly in undergraduate conceptual knowledge development, Learning Assistant programs, and fostering inclusive environments for women and multilingual learners in engineering. She holds a PhD in Mechanical Engineering from Tufts University (2018), an MS in STEM Education, and a BS in Mechanical Engineering from Northwestern University (2010). Education: PhD, Mechanical Engineering, Tufts University, 2018 MS, Science, Technology, Engineering and Mathematics Education, Tufts University, 2013 BS, Mechanical Engineering, Northwestern University, 2010 Research Interests: Jessica explores engineering design processes, epistemological framing in student learning, and how affect and identity influence academic trajectories. Her work emphasizes equitable pedagogies for multilingual learners, team dynamics in design projects, and the role of power structures in stakeholder interactions. She investigates how open-ended problems and scaffolding techniques impact problem-solving skills and engineering judgment development. Key Themes in Publications: Recent work highlights the interplay between affect and identity in first-year engineering students, strategies for multilingual learners in K-12 settings, and the role of team accomplishment in fostering belongingness. She also examines how flexible classroom spaces and maker environments influence student engagement and identity formation. Awards & Grants: No awards explicitly listed. Current research initiatives focus on NSF-funded projects related to engineering education equity and pedagogical innovation. Labs & Teams: Engaged in interdisciplinary collaborations with aviation museums and pre-service teacher networks to develop authentic engineering assessments and inclusive curriculum designs.

Susan Landمشاهده پروفایل

استاد

• Learning Sciences
• Educational Technology
• Instructional Design
• +۷ مورد دیگر

Susan Land is a Professor of Education and the Associate Dean of Undergraduate and Graduate Education in the Learning, Design, and Technology Program at Penn State University's College of Education. She also serves as the Head of the Department of Learning & Performance Systems. Dr. Land earned her doctorate in Instructional Systems from The Florida State University under Dr. Michael Hannafin. Prior to Penn State, she was a postdoctoral fellow at the University of Georgia's Learning and Performance Support Laboratory and faculty at the University of Oklahoma's Instructional Psychology and Technology Program. Earlier, she worked on instructional design projects with the U.S. Air Force Academy, Citibank, and Hewlett Packard. Her research emphasizes frameworks for technology-enhanced learning environments, particularly focusing on how learners meaningfully engage with technology in student-centered contexts. She has published over 60 manuscripts and co-edited two editions of Theoretical Foundations of Learning Environments with Dr. David Jonassen, which has been reprinted repeatedly, translated into Korean, and achieved notable sales in the Instructional Technology field. Her recent publications demonstrate a clear trajectory toward mobile, context-sensitive learning in outdoor environments using proximity-based technologies like iBeacons. These studies examine children's scientific observations in arboretums, sense-making conversations in botanical gardens, and knowledge sharing in online affinity spaces, revealing patterns in how technology mediates learning experiences across different contexts. Young Scholar Award from Association for Educational Computing and Technology (AECT) Outstanding Article of the Year Award from AECT 2015 SIG-IT Best Paper Award from American Educational Research Association (AERA) Top 10 most-published/frequently-cited authors in Educational Technology Research & Development College of Education 2016 Outstanding Teaching Award Dr. Land advises graduate students and collaborates extensively with researchers including Heather Zimmerman, Priya Sharma, and Chris Millet. Her NSF-funded research with Zimmerman examines how proximity-based computing supports children's scientific sense-making in outdoor environments. She leads the Augmented and Mobile Learning Research Group, which investigates context-sensitive, place-based learning using mobile technologies and augmented reality. Her research has been supported by multiple grants from the National Science Foundation (NSF), Institute of Museum and Library Services (IMLS), and Penn State's Center for Online Innovation in Learning (COIL). Current projects include developing the Penn State Places platform for creating iBeacon-triggered content in public spaces, with applications in arboretums, children's gardens, and community engagement initiatives.

• Computer Science Education
• Learning Technologies
• Virtual Reality in Education
• +۵ مورد دیگر

Nadine Bergner is a Professor in the Teaching and Research Area of Learning Technologies (Informatik 9) at the Faculty of Computer Science, Dresden University of Technology (TU Dresden). Her work focuses on innovative approaches to computer science education across various educational levels, from primary schools to university settings. She leads research on learning technologies, VR applications in education, and teacher training in computer science. Prof. Bergner's research spans multiple dimensions of computer science education. She has developed and evaluated numerous educational approaches including VR serious games, physical computing with Arduino, and specialized learning environments like the InfoSphere student lab. Her work emphasizes making computer science accessible and engaging for diverse learners, including young children, senior citizens, and pre-service teachers. She has made significant contributions to understanding how students form mental models of computer science concepts and how these can be effectively developed through targeted educational interventions. Her recent publications reveal a strong focus on emerging technologies in education, particularly virtual reality applications for computer science learning. She has been exploring how different interaction modalities in VR affect learning outcomes, presence, and enjoyment. Another major thread in her recent work involves machine learning education, where she has developed concept inventories and game-based learning approaches to make complex ML concepts accessible to learners. She has also been actively researching how to integrate computer science and AI competencies into teacher education across various disciplines. Prof. Bergner has made substantial contributions to the development of educational materials and frameworks for computer science education. Her work includes creating resources for programming education ("Apps programmieren für Dummies Junior"), designing concept inventories for machine learning assessment, and developing comprehensive approaches to building computational thinking skills from early childhood through higher education. She has been instrumental in shaping computer science education policy through initiatives like the Dagstuhl Declaration on education in the digital networked world. Her research often involves collaborative projects with schools and teachers, focusing on practical implementation and evaluation of computer science education approaches. She has been particularly active in developing teacher training programs and materials to support the integration of digital competencies into school curricula. Her work with the InfoSphere student lab has provided valuable insights into how extracurricular learning environments can shape students' perceptions of computer science.

Stefano Ferilliمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Data Mining
• +۶ مورد دیگر

Stefano Ferilli is a Professor of Computer Science at the University of Bari, Italy, where he leads the ARA (Apprendimento e Ragionamento Automatico) research lab within the Department of Computer Science. His academic roles include former Director of the Interdepartmental Center for Logic and Applications (CILA) and current head of the Artificial Intelligence & Intelligent Systems node in the CINI national laboratory. He holds a PhD in Computer Science and has been a key figure in advancing machine learning, logic programming, and digital library technologies. Education: Laurea (MSc equivalent) in Information Sciences (1996), Specialist Laurea in Computer Science (2003), and PhD in Computer Science (2001). His research focuses on foundational aspects of machine learning, multi-strategy reasoning, process mining, and applications in cultural heritage, bioinformatics, and smart environments. Research Contributions: Developed frameworks like INTHELEX (incremental theory learner), WoMan (process mining), and DoMInUS (document management). Over 370 publications, including a Springer monograph and multiple award-winning papers. Active in organizing conferences like ECML-PKDD, ICDM, and IRCDL, and serves on editorial boards of journals like Information Sciences . Projects: Led or participated in over 30 national and European projects, including EU-funded initiatives on digital libraries (COLLATE, DELOS) and AI applications. Collaborates with industries like Samsung and institutions like the Italian Police for traffic analysis and cultural heritage preservation. Awards: Recognized for outstanding peer review (MDPI, ECMLPKDD), best paper awards, and contributions to AI education and cultural heritage. Member of prestigious associations like AI*IA (Italian AI Society) and AICA (Italian Computing Society).

Elika Bergelsonمشاهده پروفایل

دانشیار

• Infant Language Acquisition
• Cognitive Development
• Word Learning
• +۹ مورد دیگر

Elika Bergelson is the John L. Loeb Associate Professor of the Social Sciences in the Department of Psychology at Harvard University, within the Faculty of Arts and Sciences. She leads the Bergelson Lab (BLAB), part of Harvard's Laboratory for Developmental Studies, focusing on infant language acquisition. Her research examines how infants learn words by studying both cognitive mechanisms and environmental input through naturalistic and lab-based methods. Her research interests center on infant language acquisition , cognitive development , and word learning , with a focus on how language input, social interaction, and sensory experience shape early linguistic knowledge. She explores word comprehension, phonological and semantic representations, and the role of variability in talker and wordform input. Her lab has pioneered large-scale cross-linguistic studies and expanded into atypical development, including language acquisition in blind and deaf infants. The 15 most recent publications reflect a strong trend in naturalistic data collection , cross-linguistic comparison , and methodological innovation , particularly in using LENA recordings and open science practices. Topics include acoustic and talker variability, vocabulary development in sensory-impaired children, remote infant testing, and the reliability of speech analysis tools. Dr. Bergelson is committed to diversity, equity, and inclusivity in research and lab recruitment. She actively promotes open science, public outreach, and policy applications of developmental science. She has mentored numerous students and researchers, though specific names are not listed. Her work is supported by collaborative grants and large-scale interdisciplinary projects. The Bergelson Lab employs methods including eye-tracking , EEG , audio discrimination tasks , and corpus analysis . It continues the SEEDLingS project and collects longitudinal data from infants with sensory impairments. The lab maintains open repositories on GitHub and emphasizes reproducibility and transparency in research.

• Linguistics
• Cognitive Linguistics
• Corpus Linguistics
• +۵ مورد دیگر

Laura Alexis Janda is a Professor of Russian Linguistics at the UiT The Arctic University of Norway , where she has worked since 2008. She is a member of the CLEAR research group (Cognitive Linguistics: Empirical Approaches to Russian) and leads the THREAT-DEFUSER project funded by the Norwegian Research Council. Her academic profile spans Cognitive Linguistics , Construction Grammar , and Corpus Linguistics , with a focus on Russian, Slavic, and Sámi languages . Education: PhD in Slavic Linguistics & Certificate in Teaching ESL, UCLA (1984) Visiting Fellowships at Princeton University and UNC Chapel Hill Training in Persian, Czech, and Russian methodologies Research Interests: Janda’s work bridges constructional networks and grammatical profiling in Slavic languages, with emphasis on aspect , case semantics , numeral classifiers , and political discourse analysis . She explores how morphological units like Russian prefixes function as verb classifiers and investigates language change in Sámi and Russian contexts. Publication Trends: Recent articles analyze ChatGPT’s grammatical interpretation , constructicon architecture , and ideological messaging in Putin’s speeches . Her research integrates quantitative methods and FAIR data principles to address both theoretical and pedagogical challenges. Awards & Grants: 2021 Honorary Doctorate (University of Turku, Finland) 2018 Member of the Norwegian Academy of Science and Letters 2017 Open Data Champion (SPARC Europe) 2013-2015 Norwegian Research Council grant for 'Birds & Beasts: Shaping Events in Old Russian' 2007-2011 Norwegian Research Council grant for 'Exploring Emptiness: Russian Verbal Morphology and Cognitive Linguistics' Collaborative Networks: Janda mentors international researchers and collaborates with linguists in Russia, Norway, and the U.S. She co-developed the Russian Constructicon and Construxercise! pedagogical tool, emphasizing interdisciplinary applications of linguistic theory. Labs & Projects: She co-founded the Tromsø Construction Lab , advancing constructicon resources for Russian and Sámi languages. Her THREAT-DEFUSER project examines perceived threats in Russian and Norwegian political discourse.

Chris Impeyمشاهده پروفایل

استاد

• Astronomy
• Astrophysics
• Cosmology
• +۵ مورد دیگر

Chris Impey serves as a University Distinguished Professor in the Department of Astronomy at the University of Arizona, with over 450 publications and $20 million secured in NASA and NSF research grants. He previously held the position of Vice President at the American Astronomical Society and has developed massive open online courses (MOOCs) reaching over 420,000 students globally, generating 8 million minutes of video lecture views. His research spans observational cosmology (quasars and galaxy evolution), astrobiology, and transformative astronomy education methodologies. Recent work focuses on combating science misinformation through innovative pedagogical approaches, including the application of large language models for automated writing assessment in online learning environments. He actively explores the societal implications of space exploration and the philosophical dimensions of cosmic discovery. Analysis of his 15 most recent publications reveals a dominant trend in educational technology (70% of works), particularly LLM applications for grading and combating misinformation, alongside sustained contributions to astrobiology and space ethics. Key thematic clusters include AI-enhanced education, pseudoscience analysis, and off-Earth societal development. Notable awards include: Career Education Prize from the American Astronomical Society NSF Distinguished Teaching Scholar designation Carnegie Council’s Arizona Professor of the Year Howard Hughes Medical Institute Professorship Ted and Shirley Taubeneck Superior Teaching Award (awarded in 2022 and 2024) Professor Impey has directed $20 million in grant-funded research while pioneering scalable educational models through MOOCs and digital resources. His mentorship extends to hundreds of thousands of learners globally, with significant contributions to open educational resources including textbooks, online platforms, and multimedia content. Current initiatives focus on AI-driven assessment tools and developing curricula for space ethics and astrobiology education.

Rebecca Hedreenمشاهده پروفایل

پژوهشگر

• Information Science
• Library Science
• Health Sciences
• +۵ مورد دیگر

Rebecca Hedreen serves as the Life and Clinical Sciences Librarian and Distance Learning Coordinator at Southern Connecticut State University's Hilton C. Buley Library. With expertise spanning biology, health sciences, nursing, psychology, and information literacy, she provides specialized research support to students and faculty across multiple disciplines. Her role encompasses developing subject-specific research guides, offering citation management instruction, and coordinating distance learning library services. Dr. Hedreen's research interests focus on information literacy in health sciences, citation management tools, nursing literature search methodologies, and virtual librarianship. Her work bridges traditional library services with digital innovations, particularly in supporting distance learners through technologies like screencasts and virtual environments. She has made significant contributions to understanding how librarians can effectively support evidence-based practice in nursing and healthcare education. Her scholarly output demonstrates consistent engagement with evolving library practices over nearly two decades, from early explorations of virtual reference services in Second Life to current work on citation collection methods and professional development for library staff. Recent publications highlight her focus on precise search strategies for nursing literature and innovative approaches to supporting online learners across time zones. As a dedicated educator, Dr. Hedreen provides extensive support through research consultations, classroom instruction, and online resources. She has developed numerous subject-specific research guides covering biology, nursing, psychology, and health sciences, helping students navigate complex information landscapes. Her commitment to open access and educational resources has informed her work on OER initiatives and citation management tools. Dr. Hedreen actively contributes to the library profession through her research on distance learning, virtual reference services, and information literacy assessment. Her work helps shape best practices for academic librarians supporting online and hybrid education models, particularly in health science disciplines where precise information retrieval is critical for evidence-based practice.

Joan Kang Shinمشاهده پروفایل

استاد

• English Language Teaching (ESL/EFL/EAL) for young learners and teenagers
• Online teacher education and professional development
• International virtual communities of practice
• +۳ مورد دیگر

Dr. Joan K. Shin is a Professor of Education at George Mason University's College of Education and Human Development (CEHD). Currently serving as Associate Dean for Faculty Success and Director of CEHD's Global Online Teacher Education Center (GOTEC), she specializes in ESL/EFL/EAL education for young learners and teenagers. With professional development programs in over 100 countries, her work bridges in-person and online teacher training to build international virtual communities of practice. PhD in Language, Literacy & Culture from University of Maryland, Baltimore County (UMBC) MA in Bilingual/ESOL Education from UMBC BA in Economics from Cornell University Her research focuses on: Online TESOL education and MOOCs Visual and multimodal literacy for language learners Intercultural communication through storytelling Technology integration in teacher professional development Global virtual communities of practice Recent publications highlight trends in pandemic-era teacher training, MOOC camp effectiveness, and blended learning frameworks. She has secured over $12 million in grants, including Department of State-funded initiatives through FHI 360. Awards include: TESOL International Association's 30 Up and Coming Leaders (2016) U.S. State Department's Top 30 English Language Specialists (2021) Ben Warren International House Trust Prize (2013) HRH Duke of Edinburgh English Language Book Award (2014) As an English Language Specialist, she has conducted training across 20+ countries. Her full description outlines her Korean-American heritage, educational philosophy, and contributions to National Geographic Learning's award-winning textbook series.

Willem Hollmannمشاهده پروفایل

استاد

• Cognitive Linguistics
• Cognitive Sociolinguistics
• Dialect Grammar
• +۳ مورد دیگر

Willem Hollmann is a Professor of Linguistics and currently serves as Head of the School of Philosophy, Psychology and Language Sciences at the University of Edinburgh. He holds academic roles such as Associate Dean of Undergraduate Studies and has previously been Interim Executive Dean at Lancaster University. His expertise spans cognitive linguistics, cognitive sociolinguistics, and verbal deception detection, with a strong commitment to language education and policy. Willem Hollmann holds academic qualifications including an MA from the University of Amsterdam, another MA from the University of Manchester, and a PhD from the University of Manchester. Willem Hollmann’s research focuses on cognitive-typological linguistic theory, particularly construction grammar and usage-based models, cognitive sociolinguistics, dialect grammar, language change, and the history of English. His recent work extends into verbal deception detection and forensic linguistics. He emphasizes the intersection of language structure and social factors, contributing to both theoretical and applied linguistic studies. His recent publications explore syntactic constraints in English, cognitive sociolinguistic applications, and the use of epistemic modals in academic writing by Japanese EFL students. He also engages with generative vs. usage-based linguistic theories, phonological evidence in adjective analysis, and the evolution of comparative modals in English. His work bridges theoretical linguistics with applied areas like education and forensic analysis. Willem Hollmann has been recognized through various professional roles and contributions, though no specific scientific awards are listed in the provided information. Willem Hollmann has supervised numerous PhD students, including those who have secured academic positions globally. He is open to supervising research in cognitive-typological theory, sociolinguistics, dialect grammar, and deception detection. While specific grants are not detailed, his consultancy work with UK government departments and educational bodies underscores his engagement with applied linguistic initiatives. He is actively involved in language education policy, chairs the LAGB’s Education Committee, and contributes to the Committee for Linguistics in Education. His collaborations extend to institutions like the Department for Education and OCR, reflecting his commitment to educational linguistics.

Akos Ledecziمشاهده پروفایل

استاد

• Computer Science Education
• Wireless Sensor Networks
• Model Integrated Computing
• +۳ مورد دیگر

Akos Ledeczi is a Professor of Computer Science and Electrical and Computer Engineering at Vanderbilt University's School of Engineering. His research focuses on computer science education and wireless sensor networks (WSN) , with notable contributions to visual programming tools like NetsBlox and anti-poaching systems like WIPER. He holds a Ph.D. from Vanderbilt University and a Diploma from the Technical University of Budapest. His education initiatives include the NetsBlox platform for K-12 STEM education and a popular Coursera MOOC on introductory programming. In WSN, his team developed a countersniper system with real-time shooter localization and a wearable system for military applications. He is also a leader in Model Integrated Computing , creating tools like the Web-based Generic Modeling Environment. Recent work includes NSF-funded projects on cybersecurity education in middle schools and animal-borne acoustic monitoring. His awards include the ACM SenSys Test of Time Award (2014) and the Best Showpiece Award at IEEE VL/HCC (2021). Key grants and collaborations span NSF projects, Vodafone innovation programs, and the Cyber Makerspace initiative. His lab develops tools like DeepForge and RoboScape Online , emphasizing open-source and collaborative platforms. Students supervised include Devin Jean (K-12 tools), Gordon Stein (robotics simulations), and Brian Broll (NetsBlox extensions).

Joey Huangمشاهده پروفایل

استادیار

• Computational Thinking
• Educational Technology
• STEM Learning
• +۶ مورد دیگر

Dr. Joey Huang is an Assistant Professor of Learning, Design, & Technology in the Department of Teacher Education and Learning Sciences at North Carolina State University's College of Education. She is affiliated with the Digital Transformation of Education cluster through the Chancellor's Faculty Excellence Program. Her work bridges educational psychology and computing to create innovative learning environments that promote equity and collaboration in STEM education. Dr. Huang's research focuses on computational thinking, educational technology design, and broadening participation in STEM among underrepresented groups. She explores how hands-on, interdisciplinary activities—such as fiber crafts, robotics, and creative coding—can deepen students' understanding of computational concepts. Through NSF-funded projects like ReCrafting Computer Science, she integrates tangible crafts with computational thinking to create more inclusive pathways into computer science education. Her methodological approach combines both qualitative and quantitative methods to investigate collaborative learning, identity formation, and equity in technology-rich educational contexts. Dr. Huang's publication record shows a clear trajectory toward creating personalized, interactive learning experiences for K-12 and undergraduate students. Her recent work emphasizes virtual and augmented reality learning environments, gender-inclusive maker education, and AI-enhanced educational technologies. She has made significant contributions to understanding how learners co-design with AI in STEAM contexts and how interdisciplinary collaboration serves as a core skill in modern education. ACM CHI Honorable Mention AERA's Best Student Paper Best Paper Nomination for CSCL 2024 NSF CAREER Award recipient Dr. Huang has advised numerous research projects and collaborated extensively with colleagues across disciplines. Her work with the Friday Institute and Belk Center demonstrates her commitment to translating research into practical educational applications. She actively participates in professional development initiatives to help K-12 teachers integrate digital technologies into their classrooms, supporting NC State's mission of preparing educators for 21st-century classrooms.

Torsten Zeschمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing
• Educational Technology
• +۶ مورد دیگر

Prof. Dr.-Ing. Torsten Zesch serves as Deputy Scientific Director, Member of the Executive Board, and Head of the Research Professorship for Computational Linguistics at FernUniversität in Hagen since March 2022. He previously held W2 and W1 Professorships for Sprachtechnologie (Language Technology) at Universität Duisburg-Essen from 2014-2022. Zesch is also Spokesperson of the Advisory Board of the German Society for Computational Linguistics and Language Technology (GSCL) since 2024, having previously served as GSCL President from 2018-2024. Dr. Zesch completed his dissertation (Dr.-Ing.) in Computer Science at Technische Universität Darmstadt in 2009. His research spans robust language processing systems, analysis of non-standard language structures, and educational applications of language technology, with particular focus on automatic content scoring and spelling error correction for learner language. Zesch's recent publications reveal a strong focus on integrating language technology with educational applications. His work demonstrates expertise in developing practical NLP solutions for educational assessment, including transformer-based spelling error feedback systems, hierarchical automatic scoring methods, and leveraging LLMs for educational applications despite cold-start problems. He also maintains significant research in hate speech detection, particularly in multimodal contexts and visio-linguistic models. As leader of the Computational Linguistics research professorship within the CATALPA research center, Zesch directs a team investigating how language technology can support educational processes. His projects DAKODA and KISS-Pro focus on language acquisition and educational applications. He has contributed significantly to the field through numerous publications in top NLP and educational technology venues, with over 100 publications spanning from 2006 to present.

Diana Galvan Sosaمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Knowledge Acquisition
• Applications of NLP in Education
• +۳ مورد دیگر

Diana Galvan Sosa is a Researcher at the University of Cambridge, affiliated with the ALTA Institute (Automated Language Teaching and Assessment) and the NLIP group. She holds a doctoral degree in Information Science from Tohoku University (Japan). Her research focuses on Natural Language Processing (NLP), particularly knowledge acquisition and applications of NLP in education, including feedback generation systems for second language (L2) learners. She also contributes to clinical text analysis and hate speech detection research. Education: PhD in Information Science from Tohoku University, Japan. Research Interests: Grammatical Error Correction Educational Technology Clinical NLP Explainability in AI Temporal Relation Extraction Multimodal Reasoning Recent Work Trends: Her most recent publications (2023-2025) emphasize advanced NLP applications like GPT-4 analysis for error correction, hate speech detection leveraging platform guidelines, and evaluation frameworks for AI explanations. Earlier work includes foundational studies on clinical text analysis and addiction treatment populations. Labs/Groups: Active member of the ALTA Institute and NLIP group at Cambridge. Also contributes to open-source projects like the GECToR framework for grammatical error correction, reflected in her GitHub repositories.

• Computer-Supported Collaborative Learning (CSCL)
• Artificial Intelligence in Education
• Human-Computer Interaction
• +۳ مورد دیگر

Nikol Rummel is a Professor at Ruhr-Universität Bochum , specializing in Computer-Supported Collaborative Learning (CSCL) , Artificial Intelligence in Education , and Human-Computer Interaction . Her work bridges educational technology with hardware reverse engineering , focusing on AI-orchestrated learning environments and adaptive tools for collaboration. Her research spans AI-orchestration tools ( Pair-Up , Co-Designing Orchestration Support ), collaborative problem-solving ( Learning Alone or Together ), and hardware reverse engineering education ( Promoting Skill Acquisition ). She investigates how multimodal data and adaptive feedback enhance learning outcomes, teacher practices, and emotional regulation. Her publications highlight trends in generative AI for academic writing , collaboration scripts , and cognitive obfuscation in cybersecurity education. Collaborations with researchers like Vincent Aleven, Christof Paar, and Steffen Becker underscore her interdisciplinary approach. Nikol Rummel’s work emphasizes teacher dashboards ( What Information Should CSCL Dashboards Provide? ), dynamic student pairing ( Combining Dialog Acts and Skill Modeling ), and emotional engagement in learning ( How to Enjoy Writing Papers ).