جست‌وجوی استاد و پژوهشگر

• Computational Aesthetics
• Architectural Design
• Digital Fabrication
• +۴ مورد دیگر

Prof. Mirco Becker is a Professor at the Leibniz University Hannover, holding roles as Executive Director of the Institute for Design and Presentation and leading the Department of Digital Methods in Architecture within the Faculty of Architecture and Landscape Sciences. His expertise focuses on computational aesthetics, digital fabrication, and robotic systems in architectural design. He manages the 3D printing facilities for the faculty and serves as the BAföG representative for Architecture students. His research integrates artificial intelligence, virtual reality, and advanced materials to explore innovative architectural solutions. Becker’s research interests emphasize computational methods for evaluating architectural aesthetics, immersive design environments, and modular robotic construction systems. His work bridges theoretical frameworks with practical applications, such as using machine learning to quantify aesthetic preferences and developing materials like felt-concrete composites. He has contributed to projects like 'VRoxel' (an immersive design tool) and 'Project DisCo' (VR-based modular block choreography). His publications highlight themes such as algorithmic aesthetics, robotic fabrication, and sustainable materials, reflecting a commitment to advancing digital tools in architecture. He actively participates in academic leadership roles, overseeing institutional facilities and student support systems.

Carolin Eitemüllerمشاهده پروفایل

پژوهشگر ارشد

• Chemistry Education
• Educational Technology
• Digital Learning Tools
• +۳ مورد دیگر

Dr. Carolin Eitemüller is a Research Fellow in the Department of Chemistry Education at the University of Duisburg-Essen, Faculty of Chemistry. She holds a Dr. rer. nat. (2015) and has been conducting postdoctoral research since 2016, focusing on educational technology, chemistry pedagogy, and student engagement. Her work includes developing digital learning tools with adaptive feedback and investigating predictors of student participation in pre-university programs. Education: Studies for Chemistry/Biology Secondary Education (Osnabrück University, 2006–2011) PhD in Natural Sciences (University of Duisburg-Essen, 2015) Research Interests: Chemistry education, digital learning tools, bridging courses, organic chemistry pedagogy, and educational equity. Her projects include the EASE initiative (2022–2024) for digital assessment in chemistry studies and the development of competency models in organic chemistry. She has received awards such as the 2019 Diversity Prize and the 2016 Outstanding Academic Performance Award for her thesis. Current grants include funding from the Interdisciplinary Centre for Educational Research (2024–2025) and the Stiftung Innovationen in der Hochschullehre (2022–2024). She advises PhD students André Kolbe and Martin Steinbach and collaborates with Prof. Maik Walpuski and colleagues on educational technology projects.

• Multimedia Learning
• Cognitive Science
• Educational Psychology
• +۳ مورد دیگر

PD Dr. Anne Schüler is a Researcher and Deputy Head of the Multiple Representations Lab at the Leibniz Institute for Knowledge Media (IWM) in Tübingen, Germany. She holds a PhD (summa cum laude) and habilitation in Psychology from Eberhard Karls University of Tübingen, with a focus on cognitive foundations of multimedia learning. Her work explores how multimedia principles enhance learning, particularly addressing validation processes, cross-modal integration, and the correction of misconceptions through instructional strategies like refutation videos. She has been an Equal Opportunities Officer at IWM since 2018. Her research spans cognitive psychology, educational technology, and instructional design, with a strong emphasis on empirical studies using eye-tracking and EEG. Key projects include investigating reactivation mechanisms during multimedia processing, the impact of digital distractions, and the design of adaptive multimedia systems. Her findings contribute to improving multimedia learning environments in education and professional contexts. Publications highlight themes such as text-picture integration dynamics, boundary conditions of multimedia effects, and the role of visual cues in comprehension. She has collaborated extensively with institutions like the University of Tübingen and international researchers, advancing theoretical frameworks for multimedia learning through experimental studies and data-driven insights.

Susanne Kugerمشاهده پروفایل

استاد

• Educational Processes in Learning Environments
• International Comparative Educational Research
• Quality and Quantity of Educational Opportunities
• +۳ مورد دیگر

Prof. Susanne Kuger is a Research Director at the Deutsches Jugendinstitut (German Youth Institute) in Munich and holds a full professorship (W3) in Social and Education Research in Childhood and Adolescence at Ludwig-Maximilians-Universität München. Her work focuses on educational processes, learning environments, and methodological innovations in large-scale studies. She has led major projects like the NEPS (National Educational Panel Study) group and contributed to international comparative research. Education: PhD in Empirical Educational Research (2011) and Habilitation (2017) from Otto-Friedrich-Universität Bamberg. Key roles: Former Head of the Department of Social Monitoring and Methodology at DJI, and guest researcher at institutions like the University of Oslo and University of Wisconsin. Her research emphasizes structural and methodological aspects of educational systems, including pandemic impacts on learning environments and cross-cultural survey methodologies. Recent publications analyze family-childcare dynamics and pandemic-related educational disparities. Advisory roles: Member of panels for DEAS (German Age Survey), RKI health studies, and SGB VIII reform committees. Grants and collaborations: Led the Corona-Kita study on infection patterns in childcare and contributed to systematic reviews on educational inequities. She coordinates interdisciplinary teams at DJI and LIfBi Bamberg, advancing quantitative methodologies for social and educational monitoring.

• Programming Education
• Novice Programming
• Educational Tools Development
• +۴ مورد دیگر

Neil Christopher Charles Brown is an Associate Professor in the School of Computing at the University of Kent, where he has been actively contributing to computing education research since completing his PhD in 2011. His work bridges theoretical computer science concepts with practical educational applications, focusing on how novices learn to program and how educational tools can better support this process. Dr. Brown's research interests center on programming education, with specific expertise in novice programming behavior, educational tool development, and computing education research methodologies. His early work focused on programming language theory and concurrency models, but he has increasingly specialized in computing education research, particularly examining how students interact with programming languages and environments. He has made significant contributions to understanding novice Java programming mistakes through large-scale data analysis and has developed frame-based programming environments to ease the transition from block-based to text-based programming. His recent publications (2023-2025) show a strong focus on AI applications in programming education, registered reports methodology in computing education research, and the development of tools like Strype that support novice programmers. Brown has published extensively in top venues including SIGCSE, ICER, and ACM Transactions on Computing Education, often collaborating with Michael Kölling on projects related to BlueJ and educational programming environments. Among his notable contributions is the Blackbox data repository project, which has collected millions of student programming attempts to analyze learning patterns. His 2018 paper 'Ten quick tips for teaching programming' in PLoS Computational Biology has been widely influential in the computing education community. Dr. Brown has served in leadership roles for major computing education conferences, including co-organizing ICER 2025 and contributing to SIGCSE workshops on research methodologies. His work demonstrates a commitment to improving both the science and practice of computing education through rigorous research and practical tool development.

• Educational Technology
• Learning Analytics
• Computer-Supported Collaborative Learning
• +۵ مورد دیگر

Minhong Wang is a Professor at the Faculty of Education, University of Hong Kong, with additional affiliation at the University of Edinburgh's Usher Institute. With an extensive publication record spanning over two decades from 2005 to 2025, Wang has established themselves as a leading researcher in educational technology and learning sciences. Their work bridges the gap between computer science and education, developing innovative technology-enhanced learning environments that support complex skill development and knowledge construction. Wang's research interests focus on educational technology, learning analytics, computer-supported collaborative learning, and cognitive mapping approaches. Their work examines how technology can enhance problem-solving processes, support self-regulated learning, and improve educational outcomes across various contexts. Recent research has expanded into multimodal learning analytics, teacher professional development through technology, and the application of advanced computational methods to educational challenges. Wang's approach integrates theoretical frameworks with practical implementations, creating systems that transform how educators and learners interact with digital environments. Analysis of Wang's recent publications (2023-2025) reveals a strategic expansion of research scope while maintaining core educational technology focus. The work demonstrates increasing sophistication in learning analytics methodologies, with growing integration of computer vision techniques and advanced machine learning approaches. This reflects a trend toward more comprehensive multimodal analysis of learning processes, moving beyond traditional text-based interactions to incorporate visual, spatial, and behavioral data in educational contexts. The research maintains strong practical applications while advancing theoretical understanding of how technology mediates learning. Wang has collaborated extensively with researchers across multiple institutions globally, particularly in Hong Kong, mainland China, and international partners. Their work demonstrates consistent funding support through numerous research projects, though specific grant details aren't visible in the publication record. The collaborative nature of the work suggests leadership in research teams focused on developing and evaluating innovative educational technologies.

• Computer Science Education
• Robotics in Education
• Artificial Intelligence
• +۲ مورد دیگر

Deepak Kumar is a Professor at Bryn Mawr College, dedicated to advancing computer science education and innovative pedagogical approaches. His work focuses on integrating creative computation, robotics, and interdisciplinary methods into curricula. He has contributed extensively to introductory computer science education, emphasizing project-based learning and the use of tools like Processing for visual programming. Research Interests: Revolutionizing introductory CS education through creative coding and robotics Designing interdisciplinary curricula that bridge technology with humanities Evaluating the impact of hackathons vs traditional lab environments Developing accessible educational tools like the Pyro robotics framework Publications highlight trends in pedagogy innovation, with a focus on K-12 outreach and undergraduate curriculum design. His work often addresses equity in computing education through creative and inclusive methodologies.

• Algorithms
• Theory & Logic
• Programming Languages & Verification
• +۴ مورد دیگر

Ali Zarezade is a researcher at the Max Planck Institute for Software Systems (MPI-SWS), focusing on interdisciplinary research spanning algorithms, machine learning, and social computing. His work integrates theoretical foundations with practical applications in cyber-physical systems, distributed networks, and human-centric AI. Key research areas include human-in-the-loop machine learning, optimal control strategies for social networks, and spatio-temporal modeling of social media activity. His methods often combine stochastic control theory, sparse regression techniques, and online algorithm design to address challenges in education technology, security, and information diffusion. Prior contributions involve developing algorithms like RedQueen and Cheshire for optimizing social network activity, probabilistic models for hyperspectral unmixing, and visual tracking systems resilient to occlusions. His research bridges computational theory with real-world systems, emphasizing scalable solutions for distributed and networked environments.

• Late Antiquity
• Roman Aristocracy
• Social Networks
• +۸ مورد دیگر

Dr. Jessica van 't Westeinde is a Postdoctoral Researcher at the Bonn Center for Dependency and Slavery Studies (University of Bonn), focusing on the digitization of the Prosopography of the Later Roman Empire and social networks in Roman and post-Roman Britain. Her work integrates prosopography, spatial analysis, and religious conflict studies. She holds a PhD in Religious Studies from Durham University (2017) and degrees from KU Leuven. Research Interests Late Antique social networks and patronage systems Forced migration and slavery in antiquity Jewish diaspora identity and urban spatiality Jerome of Stridon’s epistolary networks Ecumenical councils and conflict management Key Projects Leading digitization of PLRE volumes IIIA/IIIB for the AHRC-DFG 'Connecting Late Antiquities' project Analysis of sacred spaces in Roman Dura-Europos and late antique urban environments Awards SNF Grant (2021): Conflict Management in Late Antique Councils DAAD Conference Grant (2019) Tübingen Excellence Fellowship (2018–2020) Teaching & Leadership Organized conferences on religious conflict and urbanity (e.g., Bern 2020) Edited journal issues on Jews and the City (2022) and New Paradigms in the Study of Jerome Labs/Teams Core member of the Bonn Center for Dependency and Slavery Studies, collaborating with interdisciplinary teams on migration histories and religious economies.

Sigbert Klinkeمشاهده پروفایل

استاد

• Statistics
• Data Visualization
• E-Learning
• +۳ مورد دیگر

Sigbert Klinke is a Professor in the Chair of Statistics at Humboldt University of Berlin's Faculty of Economics and Business Administration. He specializes in statistical methodology, computational statistics, and educational technology. His work focuses on developing interactive e-learning platforms for statistics, such as MM*Stat and wiki-based systems. Klinke leads research in statistical software development, including R packages and open-source tools like Yxilon. Education: PhD in Statistics (implied by academic role). Research interests include data visualization, exploratory analysis, and reproducible research. He has authored numerous publications in statistical methodology, software development, and pedagogical innovations. His contributions span over 20 years, with impactful work in both academic research and educational tool creation. Publications emphasize statistical software (e.g., R packages, XploRe), e-learning frameworks, and methodological advancements. His work bridges theoretical statistics with practical applications, particularly in large-scale educational settings. Klinke's projects often involve interdisciplinary collaboration, such as integrating satellite image analysis with statistical computing environments.

• Paleoceanography
• Marine Geology
• Micropaleontology
• +۵ مورد دیگر

Dr. Lester Lembke-Jene is a Senior Research Scientist in the Marine Geology Section at the Alfred Wegener Institute (AWI), specializing in paleoceanography, marine geology, and micropaleontology. His research focuses on reconstructing past oceanographic and climatic changes in the subarctic Pacific, Southern Ocean, and Antarctic marginal seas. He employs proxy methods like foraminiferal isotopic composition to study ocean currents, carbon cycle dynamics, and environmental changes. Key responsibilities include curating the AWI Sediment Core Repository and coordinating marine coring equipment. He leads the XRF-Scanning Lab and has contributed to projects such as the IMPAC3.5T grant investigating Pacific Southern Ocean carbon cycle impacts on climate shifts. His work spans multidisciplinary collaborations, including roles in the International Ocean Discovery Program (IODP) and editorial boards like Discover Oceans . Notable research interests include Antarctic Circumpolar Current dynamics, methane seeps, and operational oceanography in extreme environments. He has published extensively on topics like millennial-scale current variability, geomagnetic excursion records, and machine learning applications in sediment analysis.

Julius Späteمشاهده پروفایل

پژوهشگر ارشد

• Digitalization in Social Work
• Residential Care Research
• Socio-technical Systems
• +۲ مورد دیگر

Dr. Julius Späte serves as an Academic Assistant (Research Fellow) in the Department of Social and Educational Sciences at Potsdam University of Applied Sciences since 2021, contributing to the dual-digital Social Work (B.A.) program. His work bridges research and practical application in digital social work, with office hours held Mondays 11:45-12:15 on-site and flexible digital appointments by email. Education: BA in Social Work, Hochschule Merseburg (2010-2013) MA in Applied Media and Cultural Studies, Hochschule Merseburg (2013-2015) Doctorate in Education, Christian-Albrecht University of Kiel (2016-2024) Advanced training as systemic consultant, German Society for Systemic Therapy (2020-2022) Research Focus: Späte's work centers on digital transformation in social services, examining socio-technical integration, professional competency development, and residential care privacy. He investigates how digital tools reshape practice through qualitative and mixed-methods approaches, emphasizing framework conditions and practical facilitations for effective implementation in institutional settings. Publication Trends: His 2021-2024 output reveals escalating specialization in digital social work, progressing from foundational transformation frameworks to targeted analyses of AI applications (e.g., ChatGPT) and privacy dynamics. The research consistently advocates for cross-institutional initiatives while documenting evolving professional requirements in socio-technical environments through both theoretical and empirical lenses. Projects & Teaching: He leads the #EducatingSociety in the Digital Age network establishing university collaborations for digital social work research, and contributes to BASA Dual-Digital's methodological-constructive studies. His teaching focuses on academic writing, thesis development, and digital literacy, with frequent invited lectures at national conferences addressing technology integration challenges. Research Ecosystem: Späte operates within the BASA Dual-Digital research collective and #EducatingSociety network, facilitating collaborative knowledge production across institutional boundaries. His work connects academic research with practitioner perspectives through projects examining digital transformation from students' and service providers' viewpoints.

Thies Pfeifferمشاهده پروفایل

استاد

• Human-Machine Interaction
• Augmented Reality
• Virtual Reality
• +۵ مورد دیگر

Prof. Thies Pfeiffer holds a professorship in Computer Science with a specialization in Human-Machine Interaction at the University of Applied Sciences Emden/Leer. His work focuses on Mixed Reality technologies (AR/VR) applied to healthcare training, industrial assistance systems, and educational innovation. He leads the research group exploring immersive learning environments and has developed tools like TrainAR for procedural training. Key areas include: Eyetracking for interaction design XR accessibility standards Multi-user VR simulations for nursing training Virtual patient avatars in psychiatry education Research initiatives include the DiViFaG project for digital health training frameworks and the Mixality platform showcasing current projects. He serves on the COGAIN Association board, advancing assistive technology research. His work bridges human factors engineering with practical applications across healthcare, education, and industry.

Robert Ringelمشاهده پروفایل

پژوهشگر

• Computer Science Education
• Programming Pedagogy
• Task-Based Learning
• +۳ مورد دیگر

Dr. Robert Ringel is a researcher at HTW Dresden's Faculty of Computer Science and Mathematics, specializing in programming education and task-based learning methodologies. His work focuses on developing frameworks for effective programming instruction, leveraging tools like Jupyter Notebooks. He contributes to educational research, including a doctoral dissertation on programming learning frameworks and publications on digital teaching environments. His courses include Applied Programming and Applied Methods of Machine Learning. He actively maintains open educational resources like the LearningTasks4Programming repository, emphasizing Python learning tasks for beginners.

Bozana Meinhardt-Injacمشاهده پروفایل

استاد

• Developmental Psychology
• Socio-emotional Development
• Human-Technology Interaction
• +۴ مورد دیگر

Prof. Bozana Meinhardt-Injac holds a professorship in Psychology with a focus on Developmental Psychology at the Katholische Hochschule für Sozialwesen Berlin. Her research explores socio-emotional development across the lifespan, human-technology interaction, and AI applications in Social Work, Health, and Education. She teaches foundational psychology, lifespan developmental psychology, and quantitative research methods. Her work integrates empirical studies on facial emotion processing, digital skill development, and the ethical implications of AI in social services. Notable projects include analyzing emoji adoption patterns in aging populations and evaluating VR platforms for mental health support. Publications span from 2007 to 2025, reflecting a focus on cognitive aging, technology acceptance, and neurodevelopmental challenges. ORCID: 0000-0001-7023-8100 . Research highlights include the role of texture in face perception, developmental trajectories of theory of mind, and the impact of irrelevant auditory stimuli on memory recall. Methodological contributions include designing validated face-processing tasks and evaluating immersive VR systems for stroke rehabilitation.