Martina Rau
Full Professor
Researches technology-supported learning and AI in education, including intelligent tutoring systems that support learning with multiple visual representations.
Martina Rau's lab at ETH Zurich works on learning & education technology, social computing & responsible AI and language & society. 44 papers since 2023. 6 PhD students.
At a glance
- papers, 2023–2026
- 11/ year
- at T1 venues
- 0%
- PhD students
- 6
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 9 papers2026 · T1 0 · collecting
- 23 papers2025 · T1 0
- 8 papers2024 · T1 0
- 4 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Learning & education technology17 papers
- multiple1 paper
- Social computing & responsible AI0 papers
- Language & society0 papers
- political sciences0 papers
Paper list
From the lab homepage.
20269 papers
- International Conference on Embodied Education, Copenhagen, DenmarkA Framework of Embodied Decisions for Conceptual Change Theory
- School Effectiveness and School ImprovementA networked improvement community focused upon student-centered reading practices in 13 schools in the US: effects of higher implementation frequency on reading outcomes (opens in a new tab)
- PLOS Digital HealthBeyond overconfidence: Embedding curiosity and humility for ethical medical AI (opens in a new tab)
- Computers & EducationComparing the deceptive impact of misleading data visualizations: Implications for adaptive data literacy support in computer-based learning environments (opens in a new tab)
- Learning and InstructionCross-fertilization of content and strategy knowledge: Bayesian insights into fostering scientific literacy in physics education (opens in a new tab)
- International Conference on Embodied Education, Copenhagen, DenmarkInclusion Meets Embodiment: The Case of Science Experimentation
- Personality and Individual DifferencesOn the association between the impostor phenomenon, self-esteem, and well-being in academia: A mixed-method study (opens in a new tab)
- IntelligenceThe role of prior knowledge and intelligence in resolving conceptual interference in statement-verification tasks (opens in a new tab)
- Royal Society Open ScienceUsing Shakespeare to answer psychological questions: complexity and mental representability of character networks (opens in a new tab)
202523 papers
- Educational Psychology ReviewConcreteness and Abstraction in Mathematics Education: A Taxonomy of the Semantic Landscape (opens in a new tab)
- Demagogues, Populism and Misinformation: A Guide to Combating Dark IdeasData-driven Misinformation (opens in a new tab)
- Measuring to Improve: Practical Measurement to Support Continuous Improvement in EducationDesigning an Instructionally Focused Practical Measurement System Centered on Equity
- Frontiers in PsychologyEditorial: ChatGPT and other generative AI tools (opens in a new tab)
- Educational Psychology ReviewExploring Educational Approaches to Addressing Misleading Visualizations (opens in a new tab)
- ETH Learning and Teaching JournalHow to develop and implement teaching projects in outdoor education (opens in a new tab)
- Peabody Journal of EducationHub Leaders’ Perspectives on Equity in Networked Improvement (opens in a new tab)
- Computers & EducationInoculating students against misleading data visualizations with perceptual training and informative feedback (opens in a new tab)
- Journal of Chemical EducationInstructional Analogies Dominate, Domain-Inherent Metaphors Are Overlooked: A Systematic Review of Metaphorical Mappings in Chemistry Education (opens in a new tab)
- International Conference on Artificial Intelligence in Education (AIED ), Palermo, ItalyMultidimensional Student Agency in Learning with AI: A Conceptual Framework and Design Implications (opens in a new tab)
- Studies in Educational EvaluationNetwork, school, and student demographic level effects of a networked improvement community on student reading outcomes (opens in a new tab)
- Zeitschrift für HochschulentwicklungOptimizing the Learning Process in Higher Education: The Six Process Features of Learning (opens in a new tab)
20248 papers
- Frontiers in PsychologyChatGPT's quality: Reliability and validity of concept inventory items (opens in a new tab)
- IEEE Transactions on Learning TechnologiesDevelopment of an Intelligent Tutoring System That Assesses Internal Visualization Skills in Engineering Using Multimodal Triangulation (opens in a new tab)
- EARLI SIG 6 & SIG 7 Conference, Tübingen, GermanyEmbodied Learning and Mixed Reality in Physics Experimentation
- Journal of computer assisted learningEmbodied preparation for learning basic quantum chemistry: A mixed‐method study (opens in a new tab)
- International Conference of the Learning Sciences (ICLS ), Buffalo, NY, USAExploring the Significance of Explanation in the Construction of Conceptual Metaphors (opens in a new tab)
- International Conference of the Learning Sciences (ICLS ), Buffalo, NY, USAImmersive Virtual Field Trips to Enhance Inquiry-Based Learning on Climate Change (opens in a new tab)
- Journal of Chemical EducationThe Multiple Student Conceptions of the Chemical Bond in a Quantum Chemical Context (opens in a new tab)
- Annual Meeting of the Cognitive Science (CogSci ), Rotterdam, NetherlandsVarious misleading visual features in misleading graphs: Do they truly deceive us?
20234 papers
- Artificial Intelligence in STEM EducationAdaptive support for representational competencies during technology-based problem solving in STEM (opens in a new tab)
- In their own words: What scholars want you to know about why and how to apply the science of learning in your academic settingDifferent goals imply different methods: A guide to adapting instructional methods to your context
- Journal of Educational PsychologyExploring the effects of gesture-based collaboration on students’ benefit from a perceptual training (opens in a new tab)
- Instructional ScienceTeaching advanced surgical anatomy with visual representations: comparing perceptual fluency and sense making (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ETH ZurichRolling
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Computer Science Doctorate (D-INFK)
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- Rolling (no deadline)
- Opens
- —
- GRE
- See program page
- English
- Proficiency in written and spoken English
- Fee
- See program page
Confirmed on the program page.
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