Dynamic group formation in mobile computer supported collaborative learning environment

Forming suitable learning groups is one of the factors that determine the efficiency of collaborative learning activities. However, only a few studies were carried out to address this problem in the mobile learning environments. In this paper, we propose a new approach for an automatic, customized, and dynamic group formation in Mobile Computer Supported Collaborative Learning (MCSCL) contexts. The proposed solution is based on the combination of three types of grouping criteria: learner’s personal characteristics, learner’s behaviours, and context information. The instructors can freely select the type, the number, and the weight of grouping criteria, together with other settings such as the number, the size, and the type of learning groups (homogeneous or heterogeneous). Apart from a grouping mechanism, the proposed approach represents a flexible tool to control each learner, and to manage the learning processes from the beginning to the end of collaborative learning activities. In order to evaluate the quality of the implemented group formation algorithm, we compare its Average Intra-cluster Distance (AID) with the one of a random group formation method. The results show a higher effectiveness of the proposed algorithm in forming homogenous and heterogeneous groups compared to the random method.(undefined

Group Formation Techniques in Computer-Supported Collaborative Learning: A Systematic Literature Review

Group formation is an essential process for group development lifecycle. It has been a growing concern to many researchers to be applied automatically in collaborative learning contexts. Forming a group is an atomic process that is affected by various factors. These factors differ depending on the group members characteristics, the context of the grouping process and the techniques used to form the group(s). This paper surveys the recently published work in group formation process providing a systematic literature review in which 30 relevant studies were analyzed. The findings of this review propose two taxonomies. The first one is for the attributes of group formation while the second is for the grouping techniques. Furthermore, we present the main findings and highlight the limitations of existing approaches in computer supported collaborative learning environment. We suggest some potential directions for future research with group formation process in both theoretical and practical aspects. In addition, We emphasize other improvements that may be inter-related with other computing areas such as cloud computing and mobility

Specifying computer-supported collaboration scripts

Collaboration scripts are activity programs which aim to foster collaborative learning by structuring interaction between learners. Computer-supported collaboration scripts generally suffer from the problem of being restrained to a specific learning platform and learning context. A standardization of collaboration scripts first requires a specification of collaboration scripts that integrates multiple perspectives from computer science, education and psychology. So far, only few and limited attempts at such specifications have been made. This paper aims to consolidate and expand these approaches in light of recent findings and to propose a generic framework for the specification of collaboration scripts. The framework enables a description of collaboration scripts using a small number of components (participants, activities, roles, resources and groups) and mechanisms (task distribution, group formation and sequencing)

Group formation in learning flow activities across virtual and physical spaces

Proceedings of: Across Spaces11 Workshop in conjunction with the EC-TEL2011, Palermo, Italy, September 21, 2011One of the main challenges in Computer-Supported Collaborative Learning is group formation according to different types of polices that depend on the pedagogical method or/and the students' profiles, and the communication of the resulting group formation to the students and the flow engines that orchestrate the collaborative learning processes. This challenge is even more demanding when the learning flows are not only supported by computers but they also integrate activities taking place in physical spaces without the assistance of computing devices. In this extended abstract we propose to combine previous contributions towards the development of an integrated solution for supporting group management across IMS Learning Design compliant virtual learning environments and activities in the physical space, such as the classroom or the playground.This work has been partially funded by the Spanish Learn 3 project (TIN2008-05163/TSI).Publicad

Semantic Modeling for Group Formation

Group formation has always been a subject of interest in collaborative learning research. As it is concerned with assigning learners to the groups that maximize their benefits, computer-supported group formation can be viewed in this context as an active personalization for the individual as an entity within the group. While applying this personalization to all students in the class can cause conflicts due to the differences of needs and interests between the individuals, negotiating the allocations to groups to reach consensus can be a very challenging task. The automated process of grouping students while preserving the individual’s personalization needs to be supported by an appropriate learner model. In this paper, we propose a semantic learner model based on the Friend of Friend (FOAF) ontology, a vocabulary for mapping social networks. We discuss the model as we analyse the different types of groups and the learners’ features that need to be modeled for each of these types

Learning log-based automatic group formation: system design and classroom implementation study

Collaborative learning in the form of group work is becoming increasingly significant in education since interpersonal skills count in modern society. However, teachers often get overwhelmed by the logistics involved in conducting any group work. Valid support for executing and managing such activities in a timely and informed manner becomes imperative. This research introduces an intelligent system focusing on group formation which consists of a parameter setting module and the group member visualization panel where the results of the created group are shown to the user and can be graded. The system supports teachers by applying algorithms to actual learning log data thereby simplifying the group formation process and saving time for them. A pilot study in a primary school mathematics class proved to have a positive effect on students’ engagement and affections while participating in group activities based on the system-generated groups, thus providing empirical evidence to the practice of Computer-Supported Collaborative Learning (CSCL) systems

An assistant for group formation in CSCL based on constraint satisfaction

Group formation is a key aspect in computer-supported collaborative learning, since different characteristics of students might influence the group performance. In this article, we present an assistant that models group formation as a weighted constraint satisfaction problem (WCSP), and considers three students’ features, namely: psychological styles, team roles and social networks. Our WCSP formulation is able to combine constraints and preferences for individuals and groups. This assistant can aid teachers to form groups considering factors such as team role balance and distribution of psychological styles. We report on a pilot study to evaluate the proposal in different scenarios.Sociedad Argentina de Informática e Investigación Operativ

An assistant for group formation in CSCL based on constraint satisfaction

Group formation is a key aspect in computer-supported collaborative learning, since different characteristics of students might influence the group performance. In this article, we present an assistant that models group formation as a weighted constraint satisfaction problem (WCSP), and considers three students’ features, namely: psychological styles, team roles and social networks. Our WCSP formulation is able to combine constraints and preferences for individuals and groups. This assistant can aid teachers to form groups considering factors such as team role balance and distribution of psychological styles. We report on a pilot study to evaluate the proposal in different scenarios.Sociedad Argentina de Informática e Investigación Operativ

A comparative analysis of two globally distributed group projects: a perspective from CSCW/CSCL research.

Globally distributed group projects are becoming an attractive and increasingly common feature in computer science education. They provide opportunities for students to engage in activities that enhance both their technical skills and wider professional competencies with concomitant benefits for graduate employability. There have been some previous attempts to investigate these projects in terms of theories of technology use and collaborative learning, and this paper continues this process by examining globally distributed group projects from the perspective of salient issues in the fields of computer-supported cooperative work (CSCW) and computer-supported collaborative learning (CSCL). After detailing CSCW models that discuss the dimensions that characterise interaction and technology use in groups, we examine aspects of group learning from the perspective of theories of CSCL. Issues of cooperation versus collaboration, motivation for learning and models of group cognition are discussed in the context of two specific group projects. Analysis of these examples allows us to characterise behaviour within groups and provide insights that can facilitate the formation and effective development of project teams. This has important educational implications for the success of these distributed group projects

Using constraint satisfaction to aid group formation in CSCL

In computer-supported collaborative learning contexts, group formation is a key aspect, since different characteristics of students might influence the group performance. In this article, we present an intelligent assistant that models group formation as a weighted constraint satisfaction problem (WCSP). The assistant takes into account three students´ features, namely: psychological styles, team roles and social networks. The proposed WCSP approach is able to combine constraints and preferences both for individuals and groups. The main goal of the assistant is to aid teachers to form learning groups considering factors such as team role balance and distribution of psychological styles. We also describe a pilot study to evaluate our proposal in different scenarios.Fil: Diaz Pace, Jorge Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; ArgentinaFil: Balmaceda, José María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; ArgentinaFil: Schiaffino, Silvia Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentin