Lecture

Investigating Collaboration as a Process with Theory-Driven Learning Analytics

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Description

This lecture delves into the evaluation framework CLAP, which aims to uncover the collective process of collaboration in learning. It discusses the types of evidence collected, such as anecdotal and correlational, and the importance of establishing causal relationships. The lecture explores the dynamics of collaboration, the evaluation of collaborative learning, and the cognitive load theory. It also examines the concept of interactivity gains and coordination costs in collaborative learning, emphasizing the significance of network interactions. The presentation concludes with a detailed analysis of two learning communities, highlighting the evolution phases and effectiveness of collaborative learning.

Official source

Related concepts (32)

Collaboration

Collaboration (from Latin com- "with" + laborare "to labor", "to work") is the process of two or more people, entities or organizations working together to complete a task or achieve a goal. Collaboration is similar to cooperation. Most collaboration requires leadership, although the form of leadership can be social within a decentralized and egalitarian group. Teams that work collaboratively often access greater resources, recognition and rewards when facing competition for finite resources.

Collaborative learning

Collaborative learning is a situation in which two or more people learn or attempt to learn something together. Unlike individual learning, people engaged in collaborative learning capitalize on one another's resources and skills (asking one another for information, evaluating one another's ideas, monitoring one another's work, etc.). More specifically, collaborative learning is based on the model that knowledge can be created within a population where members actively interact by sharing experiences and take on asymmetric roles.

Mass collaboration

Mass collaboration is a form of collective action that occurs when large numbers of people work independently on a single project, often modular in its nature. Such projects typically take place on the internet using social software and computer-supported collaboration tools such as wiki technologies, which provide a potentially infinite hypertextual substrate within which the collaboration may be situated. Open source software such as Linux was developed via mass collaboration.

Computer-supported collaboration

Computer-supported collaboration research focuses on technology that affects groups, organizations, communities and societies, e.g., voice mail and text chat. It grew from cooperative work study of supporting people's work activities and working relationships. As net technology increasingly supported a wide range of recreational and social activities, consumer markets expanded the user base, enabling more and more people to connect online to create what researchers have called a computer supported cooperative work, which includes "all contexts in which technology is used to mediate human activities such as communication, coordination, cooperation, competition, entertainment, games, art, and music" (from CSCW 2023).

Collective intelligence

Collective intelligence (CI) is shared or group intelligence (GI) that emerges from the collaboration, collective efforts, and competition of many individuals and appears in consensus decision making. The term appears in sociobiology, political science and in context of mass peer review and crowdsourcing applications. It may involve consensus, social capital and formalisms such as voting systems, social media and other means of quantifying mass activity.

Related lectures (40)

Social Cognition

Delves into social cognition, collaborative learning effectiveness, group consensus, and the role of technology in enhancing interactions.

Spatial Configuration and Teaching

Explores the impact of spatial configuration on teaching interactions in classrooms, analyzing seating arrangements and teacher movements.

Scientific Cooperation Networks: Typology and Evolution

Delves into the typology and evolution of scientific cooperation networks, discussing decentralized research networks and global collaboration challenges.

Student Teams: Learning Team Skills MOOC: Teaching Science and Engineering

Discusses strategies for forming diverse teams and tools for making collective decisions in student project teams.

Collaborative writing with Overleaf and Authorea