Designing computational models of collaborative learning interaction

  title={Designing computational models of collaborative learning interaction},
  author={Patrick Jermann and M. M{\"u}hlenbrock and Amy Soller},
Computational models are computer-based representations that help to describe, explain, and analyze patterns of human behavior. Recently, we have seen a considerable amount of interest in using computational models to both represent the interaction, and better understand the process of collaborative learning. Because these processes are complex, and include coordination of both cognitive and social aspects of learning, understanding and supporting group interaction is particularly difficult… Expand

Figures, Tables, and Topics from this paper

Computational Models of Learner’s Interaction in Collaborative Learning
This paper demonstrates how three computational models of learner’s interaction and support possibilities afforded by the various types of computational model of collaborative learning processes can be used to study the nature of interaction patterns within collaborative learning in e-learning. Expand
Collaborative learning agent for promoting group interaction
This project aims to design and develop a prototype for an agent that support online collaborative learning. Online collaborative learning, which has emerged as a new form of education in theExpand
Overview on agent application to support collaborative learning interaction
The definition, classification and roles of agent to support collaborative learning interaction in E-learning are discussed and the types of interaction and communication tools to enhance interaction between all participants are described. Expand
Intelligent Evaluation of Social Knowledge Building Using Conceptual Maps with MLN
An intelligent tool called SIENA is presented, composed by the open student model, a student conceptual map with multimedia learning nodes (MLN) and Bayesian tests, designed to support the collaborative learning-process for the Computer Architecture's subject in Computers Science Engineering. Expand
From Mirroring to Guiding: A Review of State of the Art Technology for Supporting Collaborative Learning
This work reviews systems that support the management of collaborative interaction, and proposes a classification framework built on a simple model of coaching that distinguishes between mirroring systems, metacognitive tools, and coaching systems, which offer advice based on an interpretation of key indicators. Expand
Use of Intelligent Agents in Collaborative M-Learning: Case of Facilitating Group Learner Interactions
The paper demonstrates how to design intelligent agents and integrate them in collaborative mobile learning environments to allow group learners to improve their levels of group knowledge construction. Expand
Filling in the Gaps: Capturing Social Regulation in an Interactive Tabletop Learning Environment
A study of small groups collaborating at an interactive tabletop found that instances of low-quality social regulation were characterized by more than twice as much interaction with the software as high-quality instances. Expand
State of the art of interaction analysis for Metacognitive Support & Diagnosis
The document aims to present the state of the art on Interaction Analysis (highlighting the current state as well as the new trends) in three complementary dimensions: Design of IA tools and involved IA indicators, Applied Analysis methods and research questions and related applied methodologies. Expand
Design principles for an open and wide Modellingspace of modelling, collaboration And learning
The paper approaches equally important questions such as how to support self-regulation and metacognitive development for students and how to assure teachers needs accomplishment when working in typical real schools conditions. Expand
Enhancing learning through the discussion forum
This paper presents a so-called “smart” discussion forum to support, monitor and facilitate task-based collaboration for the learning process of adult learners to advance their development of critical thinking. Expand


Architectures for computer supported collaborative learning
  • D. Suthers
  • Computer Science
  • Proceedings IEEE International Conference on Advanced Learning Technologies
  • 2001
Four architectures for computer supported collaborative learning systems are analyzed using the model-view-controller design pattern and compared from the standpoints of coupling between activitiesExpand
Designing for Collaborative Discovery Learning
A general design is introduced for collaborative discovery learning, and an analysis is made how new types of instructional support can be created from the interaction between collaborative support measures and the specific learning processes involved in discovery learning. Expand
A Coached Collaborative Learning Environment for Entity-Relationship Modeling
This work shows one way to utilize domain specific knowledge in order to facilitate collaboration by encouraging students to share and discuss solution components that conflict with components of the group solution. Expand
Collaborative Learning: Cognitive and Computational Approaches
This chapter explains the processes of computer-based collaborative learning through a comparison of machine learning and dialogue operators and investigates the role of grounding in collaborative learning tasks. Expand
Modeling Through Human-Computer Interactions and Mathematical Discourse
Concept and formal aspects of the work on ϕ-calculus in its current state, which concerns the research on a rational framework that can be source and guarantee of the adequacy of a theory to its application context, are focused on. Expand
On the Social Rational Mirror: Learning E-commerce in a Web-Served Learning Environment
A Web-served Learning Environment, called PhiInEd, to assist both the planning and the execution phases of a course, and has been used by a class of D.A.E. on Business Contracts. Expand
A Contradiction-driven Approach of Learning in Discovery Learning Environments
In Educational literature, Discovery L earning appears as an approach in which the learner builds up his/her own knowledge by performing experiments within a domain and inferring/increasing rules asExpand
Belvedere: Engaging students in critical discussion of science and public policy issues.
We describe "Belvedere," a system to support students engaged in crit- ical discussion of science issues. The design is intended to address cognitive and metacognitive limitations of unpracticedExpand
Building qualitative models in ecology
A library of model fragments for reasoning about the behaviour of ecological communities is presented, including a kernel of partial models that represents general knowledge about populations that can be used in different situations. Expand
Identifying and modeling variables in complex CSCL-situations Case study: the use of asynchronous electronic discussions
  • CSCL
  • 2002