Development of graphical methods for representing data has not kept up with progress in statistical techniques. This article presents a brief history of graphical representations of research findings and makes the case for a revival of methods developed in the early and mid-twentieth century, notably ISOTYPE and Chernoff's faces. It resurrects and…

Meta-analysis results are usually presented in forest plots, which show the individual study results and the summary effect along with their confidence intervals. In this paper, we propose a system of linear springs as a mechanical analogue of meta-analysis that enables visualization and enhances intuition. The length of a spring corresponds to a…

This article discussed the development of a framework that visualizes the ontological reality of educational research participants that is incumbent on existing grounded and positioning theories. The proposed framework constructs the ontological reality of participants from qualitative data collected in semi-structured interviews. This framework…

Understanding human judgement and decision making during visual inspection of data is of both practical and theoretical interest. While visualizing data is a commonly employed mechanism to support complex cognitive processes such as inference, judgement, and decision making, the process of supporting and scaffolding cognition through effective…

The standard deviation (SD) of a random sample is defined as the square-root of the sample variance, which is the "mean" squared deviation of the sample observations from the sample mean. Here, we interpret the sample SD as the square-root of twice the mean square of all pairwise half deviations between any two sample observations. This…

This work presents a proposed model in blended learning for a numerical methods course evolved from traditional teaching into a research lab in scientific visualization. The blended learning approach sets a differentiated and flexible scheme based on a mobile setup and face to face sessions centered on a net of research challenges. Model is…

This chapter provides examples of innovative methods and tools to collect, analyze, and report both quantitative and qualitative data in student affairs assessment.

Data visualization is the term used to describe the methods and technologies used to allow the exploration and communication of quantitative information graphically. Data visualization is a rapidly growing and evolving discipline, and visualizations are widely used to cover politics. Yet, while popular and scholarly publications widely use…

The Multi-State North Central Extension Research Activity (NCERA), Contributions of 4-H Participation to the Development of Social Capital, identified a strategy to pilot a research method that incorporates an inquiry-based approach to understanding community level impact of youth programs. This article focuses on how youth engagement educators…

The demand for graduates with exposure in Cloud Computing is on the rise. For many educational institutions, the challenge is to decide on how to incorporate appropriate cloud-based technologies into their curricula. In this paper, we describe our design and experiences of integrating Cloud Computing components into seven third/fourth-year…

This article describes expertise development in a player group in the massively multiplayer online game World of Warcraft using visualization of chat log data. Charts were created to get a general sense of chat trends in a specific player group engaged in "high-end raiding", a 40-person collaborative activity. These charts helped identify patterns…

Teams are an essential part of successful performance in learning and work environments. Analysis-constructed shared mental model (ACSMM) methodology is a set of techniques where individual mental models are elicited and sharedness is determined not by the individuals who provided their mental models but by an analytical procedure. This method…

Introduces the use of Formal Concept Analysis (FCA) as a methodology to visualize the data in computer-mediated communication. Bases FCA on a mathematical lattice theory and offers visual maps (graphs) with conceptual hierarchies, and proposes use of FCA combined with content analysis to analyze computer-mediated communication. (Author/LRW)

We propose a methodology for studying the processes of learning and teaching mathematics. We will argue that this methodology carries many of the advantages of qualitative approaches while still keeping the main advantage of quantitative research methodology, which is the potential to produce findings that could be generalized. At the heart of…

The Telemakus System builds on the areas of concept representation, schema theory, and information visualization to enhance knowledge discovery from scientific literature. This article describes the underlying theories and an overview of a working implementation designed to enhance the knowledge discovery process through retrieval, visual and…