Modeling Effective and Ineffective Knowledge Communication and Learning Discourses in CSCL with Hidden Markov Models

Research output: Contributions to collected editions/worksChapterpeer-review

Authors

The grounding theory according to Clark (1996; Clark and Brennan, 1991) is a prominent approach to describe the co-construction of knowledge in computersupported collaborative learning (CSCL) environments. Communication problems such as incoherence or inadequate coordination are common in simultaneous textbased chat tools resulting in impaired grounding processes, which again may affect learning outcomes. Thus collaboration scripts like learning protocols are implemented to increase the structure of chat discourses and to reduce communication problems in order to support grounding processes. In this study the impact of grounding itself on learning outcomes was examined by implementing a

confederate in each learning group, who showed either a constructive or a destructive grounding behavior. Probabilistic models were computed for both the discourses of the present study as well as effective and ineffective discourses of a previous study. The long-term objective of this research is an adaptive script automatically detecting discourse structures in order to support grounding and thus to facilitate knowledge communication and learning processes.
Original languageEnglish
Title of host publicationAdvances in Applied Digital Human Modeling
EditorsVincent G. Duffy
Number of pages10
Place of PublicationBoca Raton
PublisherCRC Press
Publication date01.01.2010
Pages549-558
ISBN (print)9781439835111
ISBN (electronic)9780429151842
DOIs
Publication statusPublished - 01.01.2010

    Research areas

  • Business psychology
  • Adaptive scripting, Chat, CSCL, Grounding, Hidden markov models

Recently viewed

Publications

  1. Methodologies for noise and gross error detection using univariate signal-based approaches in industrial applications
  2. Modelling tasks—The relation between linguistic skills, intra-mathematical skills, and context-related prior knowledge
  3. Authenticity and authentication in language learning
  4. Development of a Didactic Graphical Simulation Interface on MATLAB for Systems Control
  5. Knowledge Graph Question Answering Using Graph-Pattern Isomorphism
  6. Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
  7. Using learning protocols for knowledge acquisition and problem solving with individual and group incentives
  8. Analysis of Complexity Reduction in Kalman Filters Through Decoupling Control With Chattered Inputs in PMSM
  9. Towards a Dynamic Interpretation of Subjective and Objective Values
  10. Analysis of priority rule-based scheduling in dual-resource-constrained shop-floor scenarios
  11. Substructure, subgraph, and walk counts as measures of the complexity of graphs and molecules.
  12. Essentializing the binary self
  13. Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System
  14. Using mixture distribution models to test the construct validity of the Physical Self-Description Questionnaire
  15. Adaptive and Dynamic Feedback Loops between Production System and Production Network based on the Asset Administration Shell
  16. A sufficient asymptotic stability condition in generalised model predictive control to avoid input saturation
  17. Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring
  18. Evaluation of Time/Phase Parameters in Frequency Measurements for Inertial Navigation Systems
  19. The Scalable Question Answering Over Linked Data (SQA) Challenge 2018
  20. A Lightweight Simulation Model for Soft Robot's Locomotion and its Application to Trajectory Optimization
  21. Optimal regulation for dynamic hybrid systems based on dynamic programming in the case of an intelligent vehicle drive assistant
  22. Expertise in research integration and implementation for tackling complex problems
  23. Application of non-convex rate dependent gradient plasticity to the modeling and simulation of inelastic microstructure development and inhomogeneous material behavior
  24. Isocodal and isospectral points, edges, and pairs in graphs and how to cope with them in computerized symmetry recognition
  25. Set-oriented numerical computation of rotation sets
  26. On the Power and Performance of a Doubly Latent Residual Approach to Explain Latent Specific Factors in Multilevel-Bifactor-(S-1) Models
  27. Machine Learning and Knowledge Discovery in Databases
  28. Building a process layer for business applications using the blackboard pattern
  29. A discrete approximate solution for the asymptotic tracking problem in affine nonlinear systems
  30. Closed-loop control of product geometry by using an artificial neural network in incremental sheet forming with active medium
  31. Global text processing in CSCL with learning protocols
  32. Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
  33. Unity and diversity in the law of state responsibility
  34. N3 - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format
  35. Comparing the Sensitivity of Social Networks, Web Graphs, and Random Graphs with Respect to Vertex Removal
  36. Optimal trajectory generation using MPC in robotino and its implementation with ROS system
  37. Multi-Parallel Sending Coils for Movable Receivers in Inductive Charging Systems
  38. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace