The Experts below are selected from a list of 5775 Experts worldwide ranked by ideXlab platform
Dai-yi Wang - One of the best experts on this subject based on the ideXlab platform.
-
Collaborative Problem-Solving Process in a Web-Based Anchored Instruction
2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT), 2016Co-Authors: Dai-yi WangAbstract:On-line videos are widely used on e-learning. However, the learning activities of on-line video still need to be designed and evaluated especially. Wang (2010) proposed a web-based anchored instruction that were a new online learning activity based on anchored instruction and composed of on-line video learning and Collaborative Problem-Solving learning. In this study, the author investigated the process of Collaborative problem solving and examined the relationships among students' learning styles, learning outcomes and Problem-Solving abilities in the web-based anchored instruction. The results showed that problem analysis and group discussion had a significant relation with learning outcomes, and personal annotations made before Collaborative learning could contribute to subsequent group discussion.
-
ICALT - Collaborative Problem-Solving Process in a Web-Based Anchored Instruction
2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT), 2016Co-Authors: Dai-yi WangAbstract:On-line videos are widely used on e-learning. However, the learning activities of on-line video still need to be designed and evaluated especially. Wang (2010) proposed a web-based anchored instruction that were a new online learning activity based on anchored instruction and composed of on-line video learning and Collaborative Problem-Solving learning. In this study, the author investigated the process of Collaborative problem solving and examined the relationships among students' learning styles, learning outcomes and Problem-Solving abilities in the web-based anchored instruction. The results showed that problem analysis and group discussion had a significant relation with learning outcomes, and personal annotations made before Collaborative learning could contribute to subsequent group discussion.
Meletis Margaritis - One of the best experts on this subject based on the ideXlab platform.
-
ICALT - On tools for analysis of Collaborative problem solving
Proceedings 3rd IEEE International Conference on Advanced Technologies, 2003Co-Authors: Nikolaos Avouris, Vassilis Komis, Georgios Fiotakis, Meletis MargaritisAbstract:Analysis of Collaborative problem solving involves analysis of dialogue and interaction, analysis of tasks and social roles through ethnographic and other field studies. Use of tools to facilitate this process can be very useful. We discuss first the key requirements of a new generation of interaction and collaboration analysis tools. We then present how these requirements have lead to the design of prototype tools, recently developed. These tools can relate and synchronize various streams of field data. An important characteristic of the tools is their support for a multilayer structure of annotations of various levels of abstraction, through which the activity can be interpreted and presented.
-
On tools for analysis of Collaborative problem solving
Third IEEE International Conference on Advanced Learning Technologies (ICALT'03), 2003Co-Authors: Nikolaos Avouris, Vassilis Komis, Georgios Fiotakis, Meletis MargaritisAbstract:Analysis of Collaborative problem solving involves analysis of dialogue and interaction, analysis of tasks and social roles through ethnographic and other field studies. Use of tools to facilitate this process can be very useful. In this paper we discuss first the key requirements of a new generation of interaction and collaboration analysis tools. We then present how these requirements have lead to the design of prototype tools, recently developed. These tools can relate and synchronize various streams of field data. An important characteristic of the tools is their support for a multi-layer structure of annotations of various levels of abstraction, through which the activity can be interpreted and presented.
Nikolaos Avouris - One of the best experts on this subject based on the ideXlab platform.
-
ICALT - On tools for analysis of Collaborative problem solving
Proceedings 3rd IEEE International Conference on Advanced Technologies, 2003Co-Authors: Nikolaos Avouris, Vassilis Komis, Georgios Fiotakis, Meletis MargaritisAbstract:Analysis of Collaborative problem solving involves analysis of dialogue and interaction, analysis of tasks and social roles through ethnographic and other field studies. Use of tools to facilitate this process can be very useful. We discuss first the key requirements of a new generation of interaction and collaboration analysis tools. We then present how these requirements have lead to the design of prototype tools, recently developed. These tools can relate and synchronize various streams of field data. An important characteristic of the tools is their support for a multilayer structure of annotations of various levels of abstraction, through which the activity can be interpreted and presented.
-
On analysis of Collaborative problem solving: an object-oriented approach
Computers in Human Behavior, 2003Co-Authors: Nikolaos Avouris, Angelique Dimitracopoulou, Vassilis KomisAbstract:Abstract During the last decade an increased interest has been observed on computer-supported Collaborative problem solving. This relatively new area of research requires new methodological approaches of interaction and problem solving analysis. Usually analysis of Collaborative problem solving situations is done through discourse analysis or interaction analysis, where in the center of attention are the actors involved (students, tutors etc.). An alternative framework, called “Object-oriented Collaboration Analysis Framework (OCAF)” is presented here, according to which the objects of the Collaboratively developed solution become the center of attention and are studied as entities that carry their own history. This approach produces a reversed view of the process, according to which the solution is made of structural components that are ‘owned’ by actors who have contributed in various degrees to their development. OCAF provides both qualitative and quantitative measures of collaboration. It is shown that this framework can be applied effectively both in synchronous computer supported Collaborative environments of distance groups and in face-to-face Collaborative activities.
-
On tools for analysis of Collaborative problem solving
Third IEEE International Conference on Advanced Learning Technologies (ICALT'03), 2003Co-Authors: Nikolaos Avouris, Vassilis Komis, Georgios Fiotakis, Meletis MargaritisAbstract:Analysis of Collaborative problem solving involves analysis of dialogue and interaction, analysis of tasks and social roles through ethnographic and other field studies. Use of tools to facilitate this process can be very useful. In this paper we discuss first the key requirements of a new generation of interaction and collaboration analysis tools. We then present how these requirements have lead to the design of prototype tools, recently developed. These tools can relate and synchronize various streams of field data. An important characteristic of the tools is their support for a multi-layer structure of annotations of various levels of abstraction, through which the activity can be interpreted and presented.
-
CSCL - OCAF: an object-oriented model of analysis of Collaborative problem solving
Proceedings of the Conference on Computer Support for Collaborative Learning Foundations for a CSCL Community - CSCL '02, 2002Co-Authors: Nikolaos Avouris, Vassilis Komis, Angelique Dimitracopoulou, Christos FidasAbstract:Computer-supported Collaborative problem solving requires new methodological approaches of interaction and problem solving analysis. Usually analysis of Collaborative problem solving situations is done through discourse analysis or interaction analysis, where in the center of attention are the actors involved (students, tutors etc.). An alternative framework, called "Object-oriented Collaboration Analysis Framework (OCAF)" is presented here, according to which the objects of the Collaboratively developed solution become the center of attention and are studied as entities that carry their own history. This approach produces a view of the process, according to which the solution is made of structural components that are 'owned' by actors who have contributed in various degrees to their development. OCAF is based on both actions and dialogues of actors, providing qualitative as well as quantitative indicators of collaboration and solution quality. The paper presents first the framework notation. Examples of its use in analysis of distance groups and face-to-face Collaborative activities are provided next, followed by the dimensions of the framework supported analysis for teachers and researchers. Web-based tools supporting the OCAF approach are also presented.
Vassilis Komis - One of the best experts on this subject based on the ideXlab platform.
-
ICALT - On tools for analysis of Collaborative problem solving
Proceedings 3rd IEEE International Conference on Advanced Technologies, 2003Co-Authors: Nikolaos Avouris, Vassilis Komis, Georgios Fiotakis, Meletis MargaritisAbstract:Analysis of Collaborative problem solving involves analysis of dialogue and interaction, analysis of tasks and social roles through ethnographic and other field studies. Use of tools to facilitate this process can be very useful. We discuss first the key requirements of a new generation of interaction and collaboration analysis tools. We then present how these requirements have lead to the design of prototype tools, recently developed. These tools can relate and synchronize various streams of field data. An important characteristic of the tools is their support for a multilayer structure of annotations of various levels of abstraction, through which the activity can be interpreted and presented.
-
On analysis of Collaborative problem solving: an object-oriented approach
Computers in Human Behavior, 2003Co-Authors: Nikolaos Avouris, Angelique Dimitracopoulou, Vassilis KomisAbstract:Abstract During the last decade an increased interest has been observed on computer-supported Collaborative problem solving. This relatively new area of research requires new methodological approaches of interaction and problem solving analysis. Usually analysis of Collaborative problem solving situations is done through discourse analysis or interaction analysis, where in the center of attention are the actors involved (students, tutors etc.). An alternative framework, called “Object-oriented Collaboration Analysis Framework (OCAF)” is presented here, according to which the objects of the Collaboratively developed solution become the center of attention and are studied as entities that carry their own history. This approach produces a reversed view of the process, according to which the solution is made of structural components that are ‘owned’ by actors who have contributed in various degrees to their development. OCAF provides both qualitative and quantitative measures of collaboration. It is shown that this framework can be applied effectively both in synchronous computer supported Collaborative environments of distance groups and in face-to-face Collaborative activities.
-
On tools for analysis of Collaborative problem solving
Third IEEE International Conference on Advanced Learning Technologies (ICALT'03), 2003Co-Authors: Nikolaos Avouris, Vassilis Komis, Georgios Fiotakis, Meletis MargaritisAbstract:Analysis of Collaborative problem solving involves analysis of dialogue and interaction, analysis of tasks and social roles through ethnographic and other field studies. Use of tools to facilitate this process can be very useful. In this paper we discuss first the key requirements of a new generation of interaction and collaboration analysis tools. We then present how these requirements have lead to the design of prototype tools, recently developed. These tools can relate and synchronize various streams of field data. An important characteristic of the tools is their support for a multi-layer structure of annotations of various levels of abstraction, through which the activity can be interpreted and presented.
-
CSCL - OCAF: an object-oriented model of analysis of Collaborative problem solving
Proceedings of the Conference on Computer Support for Collaborative Learning Foundations for a CSCL Community - CSCL '02, 2002Co-Authors: Nikolaos Avouris, Vassilis Komis, Angelique Dimitracopoulou, Christos FidasAbstract:Computer-supported Collaborative problem solving requires new methodological approaches of interaction and problem solving analysis. Usually analysis of Collaborative problem solving situations is done through discourse analysis or interaction analysis, where in the center of attention are the actors involved (students, tutors etc.). An alternative framework, called "Object-oriented Collaboration Analysis Framework (OCAF)" is presented here, according to which the objects of the Collaboratively developed solution become the center of attention and are studied as entities that carry their own history. This approach produces a view of the process, according to which the solution is made of structural components that are 'owned' by actors who have contributed in various degrees to their development. OCAF is based on both actions and dialogues of actors, providing qualitative as well as quantitative indicators of collaboration and solution quality. The paper presents first the framework notation. Examples of its use in analysis of distance groups and face-to-face Collaborative activities are provided next, followed by the dimensions of the framework supported analysis for teachers and researchers. Web-based tools supporting the OCAF approach are also presented.
Kurt Peterschmidt - One of the best experts on this subject based on the ideXlab platform.
-
Computational psychometrics for the measurement of Collaborative problem solving skills
Frontiers in Psychology, 2017Co-Authors: Stephen T. Polyak, Alina A. Von Davier, Kurt PeterschmidtAbstract:This paper describes a psychometrically-based approach to the measurement of Collaborative problem solving skills, by mining and classifying behavioral data both in real-time and in post-game analyses. The data were collected from a sample of middle school children who interacted with a game-like, online simulation of Collaborative problem solving tasks. In this simulation, a user is required to collaborate with a virtual agent to solve a series of tasks within a first-person maze environment. The tasks were developed following the psychometric principles of Evidence Centered Design (ECD) and are aligned with the Holistic Framework developed by ACT. The analyses presented in this paper are an application of an emerging discipline called computational psychometrics which is growing out of traditional psychometrics and incorporates techniques from educational data mining, machine learning and other computer/cognitive science fields. In the real-time analysis, our aim was to start with limited knowledge of skill mastery, and then demonstrate a form of continuous Bayesian evidence tracing that updates sub-skill level probabilities as new conversation flow event evidence is presented. This is performed using Bayes' rule and conversation item conditional probability tables. The items are polytomous and each response option has been tagged with a skill at a performance level. In our post-game analysis, our goal was to discover unique gameplay profiles by performing a cluster analysis of user's sub-skill performance scores based on their patterns of selected dialog responses.