A study of the relationship between regulatory systems, assessment e locomotion, and online learning groups

The present paper examines the relationship between assessment, locomotion and attitudes and learning outcomes in a Computer-supported collaborative learning (CSCL) framework. Results showed that regulatory mode predicted exam marks, numbers of tasks completed, messages sent and attitudes towards the course and the ingroup. The theoretical implications and some reflections about CSCL and Regulatory-mode Theory (RMT) are presented

Teaching Software Engineering from a Collaborative Perspective: Some Latin-American Experiences

Teaching software engineering has been recognized as an important challenge for computer science undergraduate programs. Instruction in such area requires not only to deliver theoretical knowledge, but also to perform practical experiences that allow students to assimilate and apply such knowledge. This paper presents some results of two Computer-Supported Collaborative Learning (CSCL) experiences that involved students of software engineering courses from four Latin American Universities. The obtained results were satisfactory and indicate the reported collaborative activity could be appropriate to address teaching software engineering.Teaching software engineering has been recognized as an important challenge for computer science undergraduate programs. Instruction in such area requires not only to deliver theoretical knowledge, but also to perform practical experiences that allow students to assimilate and apply such knowledge. This paper presents some results of two Computer-Supported Collaborative Learning (CSCL) experiences that involved students of software engineering courses from four Latin American Universities. The obtained results were satisfactory and indicate the reported collaborative activity could be appropriate to address teaching software engineering

Group Awareness, Learning, and Participation in Computer Supported Collaborative Learning (CSCL)

AbstractThe aim of this study is to analyze the relationship between student participation in Computer-Supported Collaborative Learning (CSCL) and the effects of this on learning outcomes. Within this context, we have taken into consideration the line of research called Group Awareness (GA) to facilitate the processes of interaction between teammates. Group Awareness Widgets (GAw) are tools based on the shared information displayed by the teammates throughout the course of collaboration. The theoretical results of this review demonstrate the need to determine how GA affects the facilitation of student interactions and the enhancement of the collaborative learning process. To this end, we have reviewed the current state of a line of research called GA, a research line that aims to facilitate the communication and coordination processes so as to help to increase the quality of work and the collaboration environments in CSCL. Next, we have briefly discussed the different conceptualizations of the GA focusing on the mechanisms used to support asynchronous GA in a CSCL Environment, and we haven then addressed some of the key dimensions considered, among which we can distinguish behavioral-awareness or participation, cognitive awareness, and social consciousness. The remainder of our work consists of analyzing the relationship between the GA, the students’ learning performance, and their participation

A framework to analyze argumentative knowledge construction in computer-supported collaborative learning

Computer-supported collaborative learning (CSCL) is often based on written argumentative discourse of learners, who discuss their perspectives on a problem with the goal to acquire knowledge. Lately, CSCL research focuses on the facilitation of specific processes of argumentative knowledge construction, e.g., with computer-supported collaboration scripts. In order to refine process-oriented instructional support, such as scripts, we need to measure the influence of scripts on specific processes of argumentative knowledge construction. In this article, we propose a multi-dimensional approach to analyze argumentative knowledge construction in CSCL from sampling and segmentation of the discourse corpora to the analysis of four process dimensions (participation, epistemic, argumentative, social mode)

The importance of task appropriateness in computer‐supported collaborative learning

Collaborative learning activities can be beneficial for exchanging ideas, sharing experiences, and developing shared understanding. It is our view that the task given to the student is central to the success or otherwise of the learning experience. In this paper, we discuss the need for the adaptation of traditional face‐to‐face tasks when these are incorporated in computer‐supported collaborative learning (CSCL) environments. We focus on critical issues in relation to the implementation of CSCL tasks including: the appropriateness of the medium for the task, the role of individuals, the volume of work involved, the time allocated for tasks or sub‐tasks, and, the assessment procedures

Improving CSCL indicators by sharing multimodal teaching and learning Corpora

Procs of Computer Supported Collaborative Learning (CSCL 2009), Rhodos, Greece - PosterWe point out the need for CSCL community to reach large scale validation for its results by addressing the lack of sharing of interaction indicators and data. The main goal of the Mulce project is a definition for teaching and learning corpora (especially for interaction tracks), a technical format to organize data and a platform for corpus sharing, providing analysis and visualization tools

Trust and credibility in an online computer-supported collaborative learning (CSCL) task

This study describes the development of credibility and trust among adult learners involved in an online computer-supported collaborative learning (CSCL) activity. Eleven groups of adult learners enrolled on a distance-learning MBA were observed for twenty weeks to better understand the relationship between credibility and trust, and the effects of various types of trust on groups’ activities. The results a) indicate that credibility and competence trust are very close concepts, b) show that various types of trust operate during CSCL activity, and c) reveal that trust works on the composition, cohesion and production of collaborative groups. Implications for future research on trust and credibility in online computer-supported collaborative learning are discussed

Are chats and forums accessible in e-learning systems?: a heuristic evaluation comparing four learning content management systems

[Poster] 18th ACM conference on Innovation and technology in computer science education (ITiCSE'13), 1-3, July 2013, Canterbury (England)This paper presents a heuristic evaluation of accessibility of the Computer Supported Collaborative Learning (CSCL) tools: chat and forums in four Learning Content Management Systems (LCMS): Moodle, ATutor, dotLRN and Claroline. Moreover, some recommendations are offered in order to improve the accessibility of the toolsThis study has been partially funded by the MA2VICMR (S2009/TIC-1542) research projectPublicad

Peer Feedback Content Quality: The added value of structuring peer assessment

The present studies examined the added value of structuring the peer assessment (PA) process for the peer feedback (PFB) content quality in a wiki-based computer-supported collaborative learning (CSCL) environment in higher education, by firstly investigating a varying structuring degree in the peer feedback template (study 1) and secondly, by further structuring the role of both the assessor and assessee in the PFB process (study 2). Results of the first study revealed that structuring the PA process could be advantageous for the peer feedback content quality, while the results for study 2 are underway. The main aim of this poster presentation is to illustrate the impact of instructional interventions in which we further specify the role of the assessor and/or assessee, in order to enhance the content quality of peer feedback messages

Defining the boundaries between Artificial Intelligence in Education, Computer-Supported Collaborative Learning, Educational Data Mining, and Learning Analytics: A Need for Coherence

This review aims to provide a concise overview of four distinct research fields: Artificial Intelligence and EDucation (AIED), Computer-Supported Collaborative Learning (CSCL), Educational Data Mining (EDM), and Learning Analytics (LA). While all four fields are focused on understanding learning and teaching using technology, each field has a relatively unique or common perspective on which theoretical frameworks, methods, and ontologies might be appropriate. In this review we argue that researchers should be encouraged to cross the boundaries of their respective field and work together to address the complex challenges in education