Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines
H. Harder, S. Peitz, (n.d.).
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Technology education in elementary school using the example of 'learning robots' – development and evaluation of an in-service teacher training concept
N. Janicki, C. Tenberge, Australasian Journal of Technology Education (n.d.).
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Student Teachers ’ Knowledge of Congruence before a University Course on Geometry
M. Hoffmann, R. Biehler, in: M. Trigueros, B. Barquero, R. Hochmuth, J. Peters (Eds.), Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022), University of Hannover and INDRUM., Hannover, 2023.
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HIEF: a holistic interpretability and explainability framework
J.-P. Kucklick, Journal of Decision Systems (2023) 1–41.
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Neural Class Expression Synthesis
N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, S. Hertling (Eds.), The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), Springer International Publishing, 2023, pp. 209–226.
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Variational Learning of Euler–Lagrange Dynamics from Data
S. Ober-Blöbaum, C. Offen, Journal of Computational and Applied Mathematics 421 (2023) 114780.
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arXiv: 2112.12619

Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features
H. Halimeh, M. Caron, O. Müller, in: Hawaii International Conference on System Sciences, 2023.
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TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs
U. Qudus, M. Röder, S. Kirrane, A.-C.N. Ngomo, in: T. R. Payne, V. Presutti, G. Qi, M. Poveda-Villalón, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, J. Li (Eds.), The Semantic Web – ISWC 2023, Springer, Cham, Cham, 2023, pp. 465–483.
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Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing
I. Gräßler, M. Hieb, in: Lectures, AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023, pp. 253–524.
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eJede*r von uns sieht die Situation eben unterschiedlich 3 das ist zwar eine Schwierigkeit, aber auch eine Bereicherungc
A. Schuldt, M. Palm, P. Neumann, O. Böhm-Kasper, C. Demmer, B. Lütje-Klose, Zeitschrift Für Konzepte Und Arbeitsmaterialien Für Lehrer*innenbildung Und Unterricht 5 (2023).
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mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks
S.B. Schneider, S. Werner, R. Khalili, A. Hecker, H. Karl, in: IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.
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Research Approaches on Workplace Learning
C. Harteis, D. Gijbels, E. Kyndt, eds., Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022.
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Agency: Taking Stock of Workplace Learning Research
M. Goller, S. Paloniemi, in: Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022.
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AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development
J. Maalouly, D. Hemker, C. Hedayat, C. Rückert, I. Kaufmann, M. Olbrich, S. Lange, H. Mathis, in: 2022 Kleinheubach Conference, IEEE, Miltenberg, Germany, 2022.
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Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods
T. Sander, S. Lange, U. Hilleringmann, V. Geneiß, C. Hedayat, H. Kuhn, in: 2022 Smart Systems Integration (SSI), IEEE, Grenoble, France, 2022.
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Entwicklung und Evaluation eines Fortbildungskonzepts im Kontext der technischen Bildung an Grundschulen am Beispiel von Lernrobotern
N. Janicki, in: M. Binder, C. Wiesmüller, T. Finkbeiner (Eds.), Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. , 2022, pp. 266–286.
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User Involvement in Training Smart Home Agents
L.N. Sieger, J. Hermann, A. Schomäcker, S. Heindorf, C. Meske, C.-C. Hey, A. Dofangün, in: International Conference on Human-Agent Interaction, ACM, 2022.
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Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems
O. Schön, R.-S. Götte, J. Timmermann, in: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 2022, pp. 19–24.
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Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie
T.F. Auer, die hochschullehre 8 (2022) 662–675.
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Process-Oriented Stream Classification Pipeline: A Literature Review
L. Clever, J.S. Pohl, J. Bossek, P. Kerschke, H. Trautmann, Applied Sciences 12 (2022) 9094.
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Decision-making under Imperfect Information with Bayesian Learning or Heuristic Rules
C. Burs, T. Gries, Decision-Making under Imperfect Information with Bayesian Learning or Heuristic Rules,  Paderborn University, CIE Center for International Economics, 2022.
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HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs
U. Qudus, M. Röder, M. Saleem, A.-C. Ngonga Ngomo, in: U. Sattler, A. Hogan, M. Keet, V. Presutti (Eds.), The Semantic Web -- ISWC 2022, Springer International Publishing, Cham, n.d., pp. 462--480.
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Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung
T. Bloh, C. Caruso, die hochschullehre 8 (2022) 299–312.
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Systematizing the lexicon of platforms in information systems: a data-driven study
C. Bartelheimer, P. zur Heiden, H. Lüttenberg, D. Beverungen, Electronic Markets 32 (2022) 375–396.
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Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding
H. Afifi, F.J. Sauer, H. Karl, in: 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21), Hyderabad, India, 2021.
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Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities
H. Afifi, M. Guenther, A. Brendel, H. Karl, W. Kellermann, in: 14. ITG Conference on Speech Communication (ITG 2021), 2021.
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Learning Flow Scheduling
A. Hasnain, H. Karl, in: 2021 IEEE 18th Annual Consumer Communications &; Networking Conference (CCNC), IEEE Computer Society, n.d.
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Digitale Räume geben und nehmen: Unterrichtsinteraktion in DSH-Kursen während der COVID-19-Pandemie
S. Drumm, M. Müller, N. Stenzel, Informationen Deutsch als Fremdsprache 48 (2021) 496–515.
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IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING
F.S. Bäumer, J. Kersting, S. Denisov, M. Geierhos, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, IADIS, 2021, pp. 221--225.
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Developing and Evaluating the Concept Data Awareness for K12 Computing Education
L. Höper, in: 21st Koli Calling International Conference on Computing Education Research, Association for Computing Machinery, New York, NY, USA, 2021.
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AutoML for Multi-Label Classification: Overview and Empirical Evaluation
M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) 1–1.
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Learning Coflow Admissions
A. Hasnain, H. Karl, in: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), IEEE Communications Society, n.d.
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A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks
H. Afifi, A. Ramaswamy, H. Karl, in: 2021 IEEE 18th Annual Consumer Communications \'26; Networking Conference (CCNC) (CCNC 2021), 2021.
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Distributed Online Service Coordination Using Deep Reinforcement Learning
S.B. Schneider, H. Qarawlus, H. Karl, in: IEEE International Conference on Distributed Computing Systems (ICDCS), IEEE, 2021.
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Detection of Defects on Irregular Structured Surfaces by Image Processing Methods for Feature Extraction
T. Sander, S. Lange, U. Hilleringmann, V. Geneis, C. Hedayat, H. Kuhn, F.-B. Gockel, in: 22nd IEEE International Conference on Industrial Technology (ICIT), IEEE, Valencia, Spain , 2021.
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Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning
S.B. Schneider, R. Khalili, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, A. Hecker, Transactions on Network and Service Management (2021).
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Ranking Structured Objects with Graph Neural Networks
C. Damke, E. Hüllermeier, in: C. Soares, L. Torgo (Eds.), Proceedings of The 24th International Conference on Discovery Science (DS 2021), Springer, 2021, pp. 166–180.
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arXiv: 2104.08869

Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach
J. Prester, G. Wagner, G. Schryen, N.R. Hassan, Decision Support Systems 140 (2021).
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DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning
S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.
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Theorie-Praxis-Verzahnung in der Wirtschaftspädagogik: Potenziale und Grenzen des Lernortes Praxis
K.-H. Gerholz, M. Goller, in: C. Caruso, C. Harteis, A. Gröschner (Eds.), Edition Fachdidaktiken, Springer, Wiesbaden, 2021, pp. 393–419.
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The digital home learning environment and its relation to children’s ICT self-efficacy
S. Bonanati, H.M. Buhl, Learning Environments Research 25 (2021) 485–505.
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Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers
M. Goller, C. Caruso, C. Harteis, International Journal for Research in Vocational Education and Training 8 (2021) 208–223.
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The Concept of a Digital Twin and Its Potential for Learning Organizations
Angelina Berisha-Gawlowski, C. Caruso, C. Harteis, in: D. Ifenthaler, S. Hofhues, M. Egloffstein, C. Helbig (Eds.), Digital Transformation of Learning Organizations  , Springer, Cham, 2021, pp. 95–114.
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Conventional and Machine Learning Approaches for Network and Service Coordination
S.B. Schneider, Conventional and Machine Learning Approaches for Network and Service Coordination, 2021.
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PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data
O. Müller, M. Caron, M. Döring, T. Heuwinkel, J. Baumeister, in: 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021), n.d.
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Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review
J. Bruns, H. Gasteiger, C. Strahl, Review of Education 9 (2021) 500–538.
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Self-Driving Network and Service Coordination Using Deep Reinforcement Learning
S.B. Schneider, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, R. Khalili, A. Hecker, in: IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020.
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SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH
J. Kersting, F.S. Bäumer, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.
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Aspect Phrase Extraction in Sentiment Analysis with Deep Learning
J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 391--400.
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Conceptual Change in the Face of Digitalization
C. Harteis, M. Goller, C. Caruso, Frontiers in Education 5 (2020).
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Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen
C. Caruso, C. Adammek, S. Bonanati, S. Wiescholek, Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion 3 (2020) 18–33.
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Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen
C.A. Hahn, die hochschullehre (2020).
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Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem
M. Seiler, J. Pohl, J. Bossek, P. Kerschke, H. Trautmann, in: Parallel Problem Solving from Nature (PPSN XVI), Springer-Verlag, Berlin, Heidelberg, 2020, pp. 48–64.
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Squaring the circle: Business model teaching in large classroom settings
D. Szopinski, Journal of Business Models 7 (2019) 90–100.
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A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers
J. Schumacher, S. Rezat, in: U.T. Jankvist, M. Van den Heuvel-Panhuizen, M. Veldhuis (Eds.), Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERM, February 6 – 10, 2019), Freudenthal Group &; Freudenthal Institute, Utrecht University and ERME, Utrecht, the Netherlands, n.d.
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Deep reinforcement learning for scheduling in large-scale networked control systems
A. Redder, A. Ramaswamy, D. Quevedo, in: Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019.
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Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material
M. Schlichtig, S.A. Opel, L. Budde, C. Schulte, in: E. Jasut, S. Pozdniakov (Eds.), ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings, 2019, pp. 65–73.
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OpenML: An R Package to Connect to the Machine Learning Platform OpenML
G. Casalicchio, J. Bossek, M. Lang, D. Kirchhoff, P. Kerschke, B. Hofner, H. Seibold, J. Vanschoren, B. Bischl, Computational Statistics 34 (2019) 977–991.
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Wissensmanagement unter Bedingungen von Arbeit 4.0
C. Harteis, C. Fischer, in: G.W. Maier, G. Engels, E. Steffen (Eds.), Handbuch Gestaltung Digitaler Und Vernetzter Arbeitswelten, Springer, Berlin, Heidelberg, 2018, pp. 1--18.
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Digitalisation of Work: Between Affordances and Constraints for Learning at Work
C. Fischer, M. Goller, L. Brinkmann, C. Harteis, in: D. Ifenthaler (Ed.), Digital Workplace Learning, Springer, Cham, 2018, pp. 227--249.
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ML-Plan for Unlimited-Length Machine Learning Pipelines
M.D. Wever, F. Mohr, E. Hüllermeier, in: ICML 2018 AutoML Workshop, 2018.
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Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure
Y. Kim, S. Lee, M. Dollmann, M. Geierhos, International Journal of Advanced Science and Technology 112 (2018) 123–136.
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Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning
E. Weishäupl, E. Yasasin, G. Schryen, Computers &; Security 77 (2018) 807–823.
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Reciprocal effects between self-concept of ability and performance: A longitudinal study of children with learning disabilities in inclusive versus exclusive elementary education
J. Gorges, P. Neumann, E. Wild, D. Stranghöner, B. Lütje-Klose, Learning and Individual Differences 61 (2018) 11–20.
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Leveraging TSP Solver Complementarity through Machine Learning
P. Kerschke, L. Kotthoff, J. Bossek, H.H. Hoos, H. Trautmann, Evolutionary Computation 26 (2018) 597–620.
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Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes
A.P. Fust, T. Jenert, C. Winkler, Entrepreneurship Research Journal 8 (2018) 1–11.
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Human agency at work: An active approach towards expertise development
M. Goller, Human Agency at Work: An Active Approach towards Expertise Development, Springer, Wiesbaden, 2017.
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Semantic Annotation of Software Requirements with Language Frame
Y.-S. Kim, S.-W. Lee, M. Dollmann, M. Geierhos, International Journal of Software Engineering for Smart Device 4 (2017) 1–6.
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The Multifaceted Nature of Agency and Professional Learning
S. Paloniemi, M. Goller, in: M. Goller, S. Paloniemi (Eds.), Agency at Work: An Agentic Perspective on Professional Learning and Development, Springer International Publishing, Cham, 2017, pp. 465–478.
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Listening to learners’ voices: Qualitative aspects of pronunciation learning during study abroad
M. Müller, Journal of Second Language Pronunciation 2 (2016) 108–142.
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Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles
C. Lyon, C.L. Nehaniv, J. Saunders, T. Belpaeme, A. Bisio, K. Fischer, F. Forster, H. Lehmann, G. Metta, V. Mohan, A. Morse, S. Nolfi, F. Nori, K. Rohlfing, A. Sciutti, J. Tani, E. Tuci, B. Wrede, A. Zeschel, A. Cangelosi, International Journal of Advanced Robotic Systems 13 (2016).
LibreCat: /record/17182
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An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames
K. Rohlfing, B. Wrede, A.-L. Vollmer, P.-Y. Oudeyer, FRONTIERS IN PSYCHOLOGY 7 (2016).
LibreCat: /record/17181
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Spielend Lehrer/in werden: problembasiertes Lernen mit virtuellen Schülerinnen/Schülern. 
S. Praetorius, D. Al-Kabbani, C. Bohndick, J. Hilkenmeier, S.T. König, H.S. Müsche, S. Sommer, K.B. Klingsieck, Zeitschrift für Hochschulentwicklung 11 (2016) 213–245.
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Learning Boolean Specifications
U. Bubeck, H. Kleine Büning, Artificial Intelligence (2015) 246–257.
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Die Bedeutung subjektiver Sichtweisen für die Implementierung betrieblicher Lernkultur
C. Fischer, C. Harteis, in: G. Niedermair (Ed.), Informelles Lernen, Annäherungen - Problemlagen - Forschungsbefunde, Trauner, Linz, 2015, pp. 107--123.
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The self-fulfilling prophecy of fear of academic failure
T. Brahm, T. Jenert, D. Wagner, in: 2015.
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A Multi-Theoretical Literature Review on Information Security Investments using the Resource-Based View and the Organizational Learning Theory
E. Weishäupl, E. Yasasin, G. Schryen, in: International Conference on Information Systems, 2015.
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Autonomous Learning of Representations
O. Walter, R. Haeb-Umbach, B. Mokbel, B. Paassen, B. Hammer, KI - Kuenstliche Intelligenz (2015) 1–13.
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Zum Einfluss des didaktischen Designs auf das (motivationale) Erleben von Lehrveranstaltungen: Eine quantitative Fallstudie im Rahmen der Methodeneinführung in den Bildungswissenschaften
M. Goller, die hochschullehre (2015).
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Alignment to the Actions of a Robot
A.-L. Vollmer, K. Rohlfing, B. Wrede, A. Cangelosi, International Journal of Social Robotics 7 (2015) 241–252.
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On the assessment of attitudes towards studying—development and validation of a questionnaire
T. Brahm, T. Jenert, Learning and Individual Differencesf: Journal of Psychology and Education 43 (2015) 233–242.
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Augmented reality in informal learning environments: A field experiment in a mathematics exhibition
P. Sommerauer, O. Müller, Computers and Education (2014) 59--68.
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Tutoring in adult-child-interaction: On the loop of the tutor's action modification and the recipient's gaze
K. Pitsch, A.-L. Vollmer, K. Rohlfing, J. Fritsch, B. Wrede, Interaction Studies 15 (2014) 55–98.
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Herausforderungen der Kompetenzorientierung in der Studienprogrammentwicklung
T. Brahm, T. Jenert, Zeitschrift Für Hochschulentwicklung 8 (2013) 7–14.
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On the assessment of attitudes towards the study process and the university: Attitudes towards the Study Environment Questionnaire (ASEQ)
T. Brahm, T. Jenert, D. Euler, in: EARLI European Association for Research on Learning and Instruction, 2013.
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Educating attention: recruiting, maintaining, and framing eye contact in early natural mother-infant interactions
I. Nomikou, K. Rohlfing, J. Szufnarowska, Interaction Studies 14 (2013) 240–267.
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Optimierung des einsatzbezogenen Lernens durch Wissensidentifikation
J. Pottebaum, Optimierung Des Einsatzbezogenen Lernens Durch Wissensidentifikation, Monsenstein und Vannerdat, Münster, 2012.
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Didaktische Potenziale des Mobile Learning für die Berufsbildung: Erfahrungen aus einem Pilotprojekt am Center for Young Professionals in Banking in der Schweiz
S. Seufert, T. Jenert, A. Kuhn-Senn, Berufsbildung in Wissenschaft Und Praxis 4 (2012) 10–13.
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How to Assess and Study the Cultural Dimension of Social Interactions in Higher Education Institutions (HEI)
A. Gebhardt, T. Jenert, in: 2012.
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Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning
B. Bischl, O. Mersmann, H. Trautmann, M. Preuß, in: Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery, New York, NY, USA, 2012, pp. 313–320.
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Weblogs zur Unterstützung der Theorie-Praxis-Integration in der Wirtschaftslehrenden-Ausbildung
T. Jenert, A. Gebhardt, R. Käser, Zeitschrift Für E-Learning 6 (2011) 17–29.
LibreCat: /record/4430

Prior entry explains order reversals in the attentional blink.
C.N.L. Olivers, F. Hilkenmeier, I. Scharlau, Attention, Perception, &; Psychophysics 73 (2011) 53–67.
LibreCat: /record/6082

Language Does Something: Body Action and Language in Maternal Input to Three-Month-Olds
I. Nomikou, K. Rohlfing, IEEE Transactions on Autonomous Mental Development 3 (2011) 113–128.
LibreCat: /record/17246
DOI: 10.1109/TAMD.2011.2140113

Zugänge zum Begriff der Lernkultur: Eine Systematisierung auf Basis kultur-und lerntheoretischer Überlegungen
T. Jenert, A. Gebhardt, Zugänge Zum Begriff Der Lernkultur: Eine Systematisierung Auf Basis Kultur-Und Lerntheoretischer Überlegungen, 2010.
LibreCat: /record/4448

Developing feedback: How children of different age contribute to a tutoring interaction with adults
A.-L. Vollmer, K. Pitsch, K.S. Lohan, J. Fritsch, K. Rohlfing, B. Wrede, in: Development and Learning (ICDL), 2010 IEEE 9th International Conference on Development and Learning, 2010, pp. 76–81.
LibreCat: /record/17253

Lernkulturen an Hochschulen: Theoretische Überlegungen zur Betrachtung studentischen Lernens unter individueller, pädagogischer und organisationaler Perspektive
T. Jenert, F. Zellweger, J. Dommen, A. Gebhardt, Lernkulturen an Hochschulen: Theoretische Überlegungen Zur Betrachtung Studentischen Lernens Unter Individueller, Pädagogischer Und Organisationaler Perspektive, 2009.
LibreCat: /record/4450

People modify their tutoring behavior in robot-directed interaction for action learning
A.-L. Vollmer, K.S. Lohan, K. Fischer, Y. Nagai, K. Pitsch, J. Fritsch, K. Rohlfing, B. Wrede, in: Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning, IEEE, 2009, pp. 1–6.
LibreCat: /record/17272
DOI: 10.1109/DEVLRN.2009.5175516

Semivirtuelle Lernumgebung zum wissenschaftlichen Arbeiten als Ergänzung des Studienangebots der Universität Augsburg
N. Heinze, T. Sporer, T. Jenert, in: Deutsche Gesellschaft Für Informationswissenschaft Und Informationspraxis: Tagungen Der Deutschen Gesellschaft Für Informationswissenschaft Und Informationspraxis, Frankfurt am Main , 2007, pp. 319–328.
LibreCat: /record/4496

How can multimodal cues from child-directed interaction reduce learning complexity in robots?
K. Rohlfing, J. Fritsch, B. Wrede, T. Jungmann, Advanced Robotics 20 (2006) 1183–1199.
LibreCat: /record/17289
DOI: 10.1163/156855306778522532

Evidence against response bias in temporal order tasks with attention manipulation by masked primes.
I. Scharlau, Psychological Research 68 (2004) 224–236.
LibreCat: /record/6068