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Global text processing in CSCL with learning protocols: A coding scheme for eye movement analyses

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Authors

Although eye movements have proved to be a valuable source of information for the study of cognitive processes, they are hardly regarded within CSCL. A crucial reason for this is the lack of suitable observational schemes. To bridge this gap, a coding scheme for global text processing in CSCL on the base of established well-defined eye movement measures is proposed. The scheme was evaluated in a study on explicit references in CSCL with learning protocols.
OriginalspracheEnglisch
TitelProceedings of the eighth international conference on the learning sciences - ICLS 2008 : International Perspectives in the Learning Sciences: Cre8ing a Learning World
Anzahl der Seiten2
Band3
VerlagInternational Society of the Learning Sciences
Erscheinungsdatum01.01.2008
Seiten103-104
PublikationsstatusErschienen - 01.01.2008
Veranstaltung8th International Conference for the Learning Sciences - ICLS 2008 - Utrecht, Niederlande
Dauer: 23.06.2008 → 28.06.2008
Konferenznummer: 8

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Entscheidungspsychologie

Pfister, H.-R., 2021, Handbuch Studienberatung. Grüneberg, T., Blaich, I., Egerer, J., Knickrehm, B., Liebchen, M., Lutz, L., Nachtigäller, U. & Thiel, R. (Hrsg.). Bielefeld: wbv Media, Band 1. S. 383-393 11 S. 5.3

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  1. Active Performance in Research and Development: The Value of Contextual Fit
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  3. Domestication and/or Digital Divide – How to Overcome Binary Classifications in Analysing Everyday Internet Use and Diffusion
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  5. Trajectory-based Lagrangian approaches for the extraction and characterization of coherent structures
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  7. VISU: Vagueness, Incompleteness, Subjectivity, and Uncertainty in Provenance Language Processing and Linked Open Data Modelling
  8. A Coding Scheme to Analyse Global Text Processing in Computer Supported Collaborative Learning: What Eye Movements Can Tell Us
  9. Plenary lecture entitled: "Wavelet Packets for Applications in Signal Processing and Control Systems"
  10. Improving Production Scheduling with Machine Learning
  11. Short course on numerical methods for stochastic processes

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  1. Performance and Comfort when Using Motion-Controlled Tools in Complex Tasks
  2. Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
  3. N3 - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format
  4. Comparing the Sensitivity of Social Networks, Web Graphs, and Random Graphs with Respect to Vertex Removal
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  6. Multi-Parallel Sending Coils for Movable Receivers in Inductive Charging Systems
  7. Computational modeling of material flow networks
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  9. Paraphrasing Method for Controlling a Robotic Arm Using a Large Language Model
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  11. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  12. Framework for setting up and operating biobanks
  13. Anatomy of Haar Wavelet Filter and Its Implementation for Signal Processing
  14. Perfect anti-windup in output tracking scheme with preaction
  15. Introducing a multivariate model for predicting driving performance
  16. Semantic Parsing for Knowledge Graph Question Answering with Large Language Models
  17. Reading and Calculating in Word Problem Solving
  18. Linux-based Embedded System for Wavelet Denoising and Monitoring of sEMG Signals using an Axiomatic Seminorm
  19. 'SPREAD THE APP, NOT THE VIRUS’ – AN EXTENSIVE SEM-APPROACH TO UNDERSTAND PANDEMIC TRACING APP USAGE IN GERMANY
  20. Simultaneous Constrained Adaptive Item Selection for Group-Based Testing
  21. Inversion of fuzzy neural networks for the reduction of noise in the control loop
  22. Age-related differences in processing visual device and task characteristics when using technical devices
  23. Enhancing Performance of Level System Modeling with Pseudo-Random Signals
  24. Neural Combinatorial Optimization on Heterogeneous Graphs
  25. Transformer with Tree-order Encoding for Neural Program Generation
  26. Learning Rotation Sensitive Neural Network for Deformed Objects' Detection in Fisheye Images
  27. Using Local and Global Self-Evaluations to Predict Students' Problem Solving Behaviour
  28. Implicit statistical learning and working memory predict EFL development and written task outcomes in adolescents
  29. Microstructural development of as-cast AM50 during Constrained Friction Processing: grain refinement and influence of process parameters
  30. A decoupled MPC using a geometric approach and feedforward action for motion control in robotino
  31. Evaluating the construct validity of Objective Personality Tests using a multitrait-multimethod-Multioccasion-(MTMM-MO)-approach
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  33. Development of a quality assurance framework for the open source development model
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