Flexible scripting in net-based learning groups

Publikation: Beiträge in SammelwerkenAufsätze in SammelwerkenForschung

Standard

Flexible scripting in net-based learning groups. / Haake, Jörg M.; Pfister, Hans-Rüdiger.
Scripting Computer-Supported Collaborative Learning: cognitive, computational and educational perspectives. Hrsg. / Frank Fischer; Ingo Kollar; Heinz Mandl; Jorg M. Haake. New York: Springer Verlag, 2007. S. 155-175 (Computer-supported collaborative learning series; Band 6).

Publikation: Beiträge in SammelwerkenAufsätze in SammelwerkenForschung

Harvard

Haake, JM & Pfister, H-R 2007, Flexible scripting in net-based learning groups. in F Fischer, I Kollar, H Mandl & JM Haake (Hrsg.), Scripting Computer-Supported Collaborative Learning: cognitive, computational and educational perspectives. Computer-supported collaborative learning series, Bd. 6, Springer Verlag, New York, S. 155-175. https://doi.org/10.1007/978-0-387-36949-5_10

APA

Haake, J. M., & Pfister, H.-R. (2007). Flexible scripting in net-based learning groups. In F. Fischer, I. Kollar, H. Mandl, & J. M. Haake (Hrsg.), Scripting Computer-Supported Collaborative Learning: cognitive, computational and educational perspectives (S. 155-175). (Computer-supported collaborative learning series; Band 6). Springer Verlag. https://doi.org/10.1007/978-0-387-36949-5_10

Vancouver

Haake JM, Pfister HR. Flexible scripting in net-based learning groups. in Fischer F, Kollar I, Mandl H, Haake JM, Hrsg., Scripting Computer-Supported Collaborative Learning: cognitive, computational and educational perspectives. New York: Springer Verlag. 2007. S. 155-175. (Computer-supported collaborative learning series). doi: 10.1007/978-0-387-36949-5_10

Bibtex

@inbook{187a70ce626647ce9d85a07964e8a541,
title = "Flexible scripting in net-based learning groups",
abstract = "CSCL scripts facilitate cooperative learning by constraining the activities of co-learners and thereby supporting coordination between distributed co-learners as well as guiding co-learners through the collaborative learning process. So far, such scripts have been encoded in CSCL environments and their tools. This made flexible adaptations of scripts an expensive task, which hinders experience-based improvements of CSCL scripts. In this chapter, we present a formal model of CSCL scripts and show how it can be used to help teachers and designers develop, adapt and experiment with CSCL scripts. In our approach, a script is represented as an extended finite state automaton, which is used to control the user interface and the possible activities in a web-based CSCL environment. We distinguish between atomic scripts, which support a specific collaborative learning activity, and composite scripts, which support a complex collaborative learning task through a sequence of atomic or composite scripts. Scripts can be created by a two-step process: defining atomic CSCL scripts, and linking existing scripts into a composite script for the overall learning activity. This approach enables the definition and reuse of CSCL scripts as well as their adaptation to learning groups and learning situations.",
keywords = "Business psychology, Collaborative Learning, Cooperative Learning, Finite State Automaton, Computer Support Collaborative Learn, Collaboration Script",
author = "Haake, {J{\"o}rg M.} and Hans-R{\"u}diger Pfister",
year = "2007",
month = jan,
day = "1",
doi = "10.1007/978-0-387-36949-5_10",
language = "English",
isbn = "978-0-387-36947-1",
series = "Computer-supported collaborative learning series",
publisher = "Springer Verlag",
pages = "155--175",
editor = "Frank Fischer and Ingo Kollar and Heinz Mandl and Haake, {Jorg M.}",
booktitle = "Scripting Computer-Supported Collaborative Learning",
address = "Germany",

}

RIS

TY - CHAP

T1 - Flexible scripting in net-based learning groups

AU - Haake, Jörg M.

AU - Pfister, Hans-Rüdiger

PY - 2007/1/1

Y1 - 2007/1/1

N2 - CSCL scripts facilitate cooperative learning by constraining the activities of co-learners and thereby supporting coordination between distributed co-learners as well as guiding co-learners through the collaborative learning process. So far, such scripts have been encoded in CSCL environments and their tools. This made flexible adaptations of scripts an expensive task, which hinders experience-based improvements of CSCL scripts. In this chapter, we present a formal model of CSCL scripts and show how it can be used to help teachers and designers develop, adapt and experiment with CSCL scripts. In our approach, a script is represented as an extended finite state automaton, which is used to control the user interface and the possible activities in a web-based CSCL environment. We distinguish between atomic scripts, which support a specific collaborative learning activity, and composite scripts, which support a complex collaborative learning task through a sequence of atomic or composite scripts. Scripts can be created by a two-step process: defining atomic CSCL scripts, and linking existing scripts into a composite script for the overall learning activity. This approach enables the definition and reuse of CSCL scripts as well as their adaptation to learning groups and learning situations.

AB - CSCL scripts facilitate cooperative learning by constraining the activities of co-learners and thereby supporting coordination between distributed co-learners as well as guiding co-learners through the collaborative learning process. So far, such scripts have been encoded in CSCL environments and their tools. This made flexible adaptations of scripts an expensive task, which hinders experience-based improvements of CSCL scripts. In this chapter, we present a formal model of CSCL scripts and show how it can be used to help teachers and designers develop, adapt and experiment with CSCL scripts. In our approach, a script is represented as an extended finite state automaton, which is used to control the user interface and the possible activities in a web-based CSCL environment. We distinguish between atomic scripts, which support a specific collaborative learning activity, and composite scripts, which support a complex collaborative learning task through a sequence of atomic or composite scripts. Scripts can be created by a two-step process: defining atomic CSCL scripts, and linking existing scripts into a composite script for the overall learning activity. This approach enables the definition and reuse of CSCL scripts as well as their adaptation to learning groups and learning situations.

KW - Business psychology

KW - Collaborative Learning

KW - Cooperative Learning

KW - Finite State Automaton

KW - Computer Support Collaborative Learn

KW - Collaboration Script

UR - https://www.mendeley.com/catalogue/cac9144e-1ee7-353d-9a04-f8d5dfa3e85e/

U2 - 10.1007/978-0-387-36949-5_10

DO - 10.1007/978-0-387-36949-5_10

M3 - Contributions to collected editions/anthologies

SN - 978-0-387-36947-1

T3 - Computer-supported collaborative learning series

SP - 155

EP - 175

BT - Scripting Computer-Supported Collaborative Learning

A2 - Fischer, Frank

A2 - Kollar, Ingo

A2 - Mandl, Heinz

A2 - Haake, Jorg M.

PB - Springer Verlag

CY - New York

ER -

DOI

Zuletzt angesehen

Publikationen

  1. Evolutionary generation of dispatching rule sets for complex dynamic scheduling problems
  2. Modelling tasks—The relation between linguistic skills, intra-mathematical skills, and context-related prior knowledge
  3. Algebraic combinatorics in mathematical chemistry. Methods and algorithms. I. Permutation groups and coherent (cellular) algebras.
  4. Ant colony optimization algorithm and artificial immune system applied to a robot route
  5. Development of a Didactic Graphical Simulation Interface on MATLAB for Systems Control
  6. Proceedings of the SeMantic Answer Type and Relation Prediction Task at ISWC 2021 Semantic Web Challenge (SMART2021)
  7. Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System
  8. Modelling the Complexity of Measurement Estimation Situations - A Theoretical Framework for the Estimation of Lengths
  9. Building a process layer for business applications using the blackboard pattern
  10. Emergency detection based on probabilistic modeling in AAL environments
  11. Control of a Sun Tracking Robot Based on Adaptive Sliding Mode Control with Kalman Filtering and Model Predictive Control
  12. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  13. Introducing a multivariate model for predicting driving performance
  14. Identification of structure-biodegradability relationships for ionic liquids - clustering of a dataset based on structural similarity
  15. Age-related differences in processing visual device and task characteristics when using technical devices
  16. Implicit statistical learning and working memory predict EFL development and written task outcomes in adolescents
  17. Entropy-guided feature generation for structured learning of Portuguese dependency parsing
  18. Using the flatness of DC-Drives to emulate a generator for a decoupled MPC using a geometric approach for motion control in Robotino
  19. A discrete-time fractional order PI controller for a three phase synchronous motor using an optimal loop shaping approach
  20. Globally asymptotic output feedback tracking of robot manipulators with actuator constraints
  21. Construct Objectification and De-Objectification in Organization Theory
  22. A model predictive control in Robotino and its implementation using ROS system
  23. Long-term memory predictors of adult language learning at the interface between syntactic form and meaning
  24. Comparing the performance of computational estimation methods for physicochemical properties of dimethylsiloxanes and selected siloxanols
  25. Human–learning–machines: introduction to a special section on how cybernetics and constructivism inspired new forms of learning
  26. A change of values is in the air
  27. Integrating errors into the training process
  28. Analysis of Complexity Reduction in Kalman Filters Through Decoupling Control With Chattered Inputs in PMSM