What Video Games Have to Teach Us about Learning and Literacy

The Savage Mind.

Graph-Theoretic Concepts in Computer Science

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Non-Western Perspectives on Learning and Knowing

In the United States, there is nothing new about whistle-blowers who provided public knowledge of government-led surveillance. In June 2013, Edward Snowden, a former NSA contractor, released numero...

No Place to Hide: Edward Snowden, The NSA, and the U.S. Surveillance State

A serious game needs to combine a number of different aspects to help the end user in reaching the desired effects. This requires incorporating a broad range of different aspects in the design, stemming from a broad range of different fields of expertise. For designers, developers, researchers, and other stakeholders it is not straightforward how to organize the design and development process, to make sure that these aspects are properly addressed. In this chapter we will discuss a number of ways of organizing the design and development process and various models that support specific design decisions during this process, concluding with a discussion of design patterns for serious games.

/pdf/processes-and-models-for-serious-game-design-and-development-2zschzkogj.pdf

Processes and models for serious game design and development

Assume that the system of two polynomial equations f(x,y) = 0 and g(x,y) = 0 has a finite number of solutions. Then the solution consists of pairs of an x-value and an y-value. In some cases conventional methods to calculate these solutions give incorrect results and are complicated to implement due to possible degeneracies and multiple roots in intermediate results. We propose and test a two-step method to avoid these complications. First all x-roots and all y-roots are calculated independently. Taking the multiplicity of the roots into account, the number of x-roots equals the number of y-roots. In the second step the x-roots and y-roots are matched by constructing a weighted bipartite graph, where the x-roots and the y-roots are the nodes of the graph, and the errors are the weights. Of this graph the minimum weight perfect matching is computed. By using a multidimensional matching method this principle may be generalized to more than two equations.

/pdf/using-bipartite-and-multidimensional-matching-to-select-the-o3iolnqnio.pdf

Using bipartite and multidimensional matching to select the roots of a system of polynomial equations

This chapter discusses educational aspects and possibilities of serious games. For researchers as well as game designers we describe key learning theories to ground their work in theoretical framework. We draw on recent meta-reviews to offer an exhaustive inventory of known learning and affective outcomes in serious games, and to discuss assessment methods valuable not only for research but also for efficient serious game design. The implementation and design of serious games are outlined in separated sections. Different individual characteristics that seem to be strongly affecting process of learning with serious games (learning style, gender and age) are discussed with emphasis on game development.

Games for Learning

The use of games as interventions in the domain of health care is often paired with evaluating the effects in randomized clinical trials. The iterative design and development process of games usually also involves an evaluation phase, aimed at identifying improvements for subsequent iterations. Since game design theory and theories from associated fields provide no unified framework for designing successful interventions, interpreting evaluation results and formulating improvements is complicated. This case study explores an approach of monitoring design decisions and corresponding theories throughout the design and development cycle, allowing evaluation results to be attributed to design decisions. Such an approach may allow the game design and development process to iterate the game more efficiently towards use in practice.

/pdf/attributing-design-decisions-in-the-evaluation-of-game-based-2se40eyb0i.pdf

Attributing design decisions in the evaluation of game-based health interventions

The roots of a system of two bivariate polynomial equations are calculated using a two-step method. First all x-roots and y-roots are determined independently. Then tolerance based weighted matching is used to form (x,y)-pairs that together form a minimum-error solution to the system.

/pdf/selecting-the-roots-of-a-small-system-of-polynomial-3cgulekbs1.pdf

Eelco Braad

Papers

Processes and models for serious game design and development

Using bipartite and multidimensional matching to select the roots of a system of polynomial equations

Games for Learning

Attributing design decisions in the evaluation of game-based health interventions

Selecting the roots of a small system of polynomial equations by tolerance based matching