To begin statistical analysis, Bayesians quantify their confidence in modeling hypotheses with priors. A prior describes the probability of a certain modeling hypothesis apart from the data. Bayesians should be able to defend their choice of prior to a skeptical audience. Collaboration between evaluators and stakeholders could make their choices…

This article is grounded in social constructivist perspectives of learning: its purpose is to provide an overview of the "Interactions Sociales et Acquisition" (ISA) [Social Interactions and Acquisition] French group's research that examines how a peer-assisted learning (PAL) group context facilitates students' acquisition of motor and…

Online collaborative writing tools provide an efficient way to complete a writing task. However, existing tools only focus on technological affordances and ignore the importance of social affordances in a collaborative learning environment. This article describes a learning analytic system that analyzes writing behaviors, and creates…

In the current time of globalization, collaboration among people in virtual environments is becoming an important precondition of success. This trend is reflected also in the educational domain where students collaborate in various short-term groups created repetitively but changing in each round (e.g. in MOOCs). Students in these kind of dynamic…

This report presents findings on the numbers of public school students and staff in the United States and other jurisdictions in school year 2009-10, using data from the State Nonfiscal Survey of Public Elementary/Secondary Education of the Common Core of Data (CCD) survey system. The CCD is an annual collection of data that are reported by state…

Coding interactional data for statistical analysis presents theoretical, methodological and practical challenges. Coding schemes rely on categories that are decided by their relevance to the analytical problem under investigation. We suggest that (1) endogenous and publicly displayed concerns of participants provide for the observable organisation…

Per definition, CSCL research deals with the data of individuals nested in groups, and the influence of a specific learning setting on the collaborative process of learning. Most well-established statistical methods are not able to analyze such nested data adequately. This article describes the problems which arise when standard methods are…

The benefits of active learning in the traditional classroom setting are well established among engineering educators; however, this learning model can thrive in other settings, namely in a research group. This work presents findings from an educational research project specifically designed to foster active learning among undergraduates and…

"Composition analysis" refers to the mathematics of how component measures combine to produce composite measures based on Bookstein's functions. Composition analysis is applied to the different ways group members might work together such that their individual measures can be combined mathematically to calculate an expected measure for…

Presents the results of an experiment that examined the extent to which a single provocative incident can exacerbate negative feelings toward a group as a whole. After hearing an audiotaped interview where a Latvian student criticized U.S. college students, the U.S. students responded differently to slides showing Latvians. (MJP)

This article describes a project that simulates the interplay between management and development project teams in a business environment. Each student team was assigned a management role supervising one project and a development role implementing another project. Results indicate that teams that communicate regularly and interact socially outside…

Theoretical foundation of Response mechanisms in networks of online learners are revealed by Statistical Analysis of p* Markov Models for the Networks. Our comparative analysis of two networks shows that the minimal-effort hunt-for-social-capital mechanism controls a major behavior of both networks: negative tendency to respond. Differences in…