Games zijn bedoeld voor vermaak, maar we kunnen ze ook opvatten als een vorm van cultuur. Ze vertellen iets over de samenleving waarin ze zijn gemaakt: al dan niet met opzet komen er via de verbeelding van de makers opvattingen over de samenleving in games terecht. Games zetten op hun beurt aan tot verbeelding, waardoor gamers zich mogelijk gestimuleerd voelen na te denken over die samenleving. Toch is het aannemelijk dat gamers daar weinig voor voelen, omdat dit een plezierige ervaring in de weg kan staan. Maar gamers blijken wel degelijk geneigd tot reflectie op de wereld om ons heen, over het leven, over goed en kwaad. Ruim driekwart van de gamers uit dit onderzoek zegt dat wel eens te doen. Tegen de verwachting is daarbij geen verschil te zien tussen reguliere gamers en professionals, zoals reviewers en game designers. Verondersteld werd dat die laatstgenoemden zich beroepsmatig vaker aangezet voelen tot reflectie op de wereld om ons heen. Vaker dan verwacht blijken gamers een kunstervaring te ondergaan bij het spelen van games. In de context van deze studie wil dat zeggen dat die spelers ‘tussen de regels door’ commentaar op de spel- en verhaalgebeurtenissen hebben opgemerkt, dat hen aan het denken zette over de wereld. Daarbij was geen verschil te zien tussen mainstream games en indiegames. De verwachting dat de meeste gamers vooral de bijzondere vormgeving van games noemen als reden om ze als kunst te bestempelen is ten slotte wel bevestigd. Dit laat meteen ook het verschil zien tussen de gangbare esthetische kunstopvatting en wat ik in deze studie onder kunst versta: het ervaren van een betekenisproces dat stimuleert tot reflectie op het leven.
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For over thirty years, there has been a discussion about the effectiveness of educational games in comparison to traditional learning materials. To help further this discussion, we aim to understand ‘how educational games work’ by formalising (and visualising) the educational and motivational aspects of such games. We present a model that focuses on the relationship between three different aspects: user properties, game mechanics, and learning objectives. In two example cases, we have demonstrated how the model can be used to analyse existing games and their game/instructional design, and suggest possible improvements in both motivational and educational aspects based on the model. As such, we introduce a novel approach to analysing educational games and, by inference, a novel design process for designing more effective educational games.
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In September 2010, Hanze University of Applied Sciences in Groningen (the Netherlands) started a 20-week international program titled GameOn! The object of this program is for students to develop serious games, that aim to help the youth become aware of social and/or health related issues. Since the start of GameOn! students have worked on a number of different projects, all related to education through the use of interactive media. Topics were malaria, hiv/aids and personal hygiene. In all these projects, specific knowledge about the target region, domain knowledge of the subject of the game, and the target group was brought in by specialists and local representatives. The lessons drawn, in development and production, from these projects are: 1. The importance of an agile game development method that allows for regular testing, feedback moments and changes. 2. The importance of a user/player centred design and the context of playful experiences. 3. Cultural awareness in game design and development: consider and adapt to the values and beliefs of the target audience. 4. Collaboration and co-creation with local representatives in game development adds to game acceptance. 5. A very positive attitude towards the use of computers in education in the targeted areas. Addressing and incorporating these aspects into projects may contribute in more effective and adequate (social) health games or, in a broader sense, more effective interactive media applications aimed at facilitating educational learning.
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Exergames, as one might infer from the name, are a combination of exercise and games. As such, they stimulate players to perform certain behaviours by providing them with engaging game mechanics (Whitehead, Johnston, Nixon, & Welch, 2010). While they can be used during physiotherapeutic rehabilitation sessions, they are particularly useful to increase therapy adherence at home (Song, Peng, & Lee, 2011). In this extended abstract, we explore an approach that addresses the first problem: how can we design a game that can be mapped on a wide range of therapeutic exercises?
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An important step in the design of an effective educational game is the formulation of the to-be-achieved learning goals. The learning goals help shape the content and the flow of the entire game, i.e. they provide the basis for choosing the game’s core (learning) mechanics. A mistake in the formulation of the learning goals or the resulting choice in game mechanics can have large consequences, as the game may not lead to the intended effects. At the moment, there are many different methods for determining the learning goals; they may be derived by a domain expert, based on large collections of real-life data, or, alternatively, not be based on anything in particular. Methods for determining the right game mechanics range from rigid taxonomies, loose brainstorming sessions, to, again, not any method in particular. We believe that for the field of educational game design to mature, there is a need for a more uniform approach to establishing the learning goals and translating them into relevant and effective game activities. This paper explores two existing, non-game design specific, methods to help determine learning goals and the subsequent core mechanics: the first is through a Cognitive Task Analysis (CTA), which can be used to analyse and formalize the problem and the knowledge, skills, attitudes that it is comprised of, and the second is through the Four Components Instructional Design (4C-ID), which can be used to determine how the task should be integrated into an educational learning environment. Our goal is to see whether these two methods provide the uniform approach we need. This paper gives an overview of our experiences with these methods and provides guidelines for other researchers on how these methods could be used in the educational game design process.
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What makes an educational game good? This paper describes three research directions that could provide insight in the underlying principles of effective educational games. These aspects are 1) The importance of distinguishing between types of to-be-learned knowledge, 2) the need to understand the relationship between game mechanics and learning goals, and 3) using research on intelligent tutoring systems to create more personalized learning experiences. Central in these directions is the concept of cognition and how it impacts the educational effectiveness of an educational game. This paper will give a short introduction on cognition and discuss why the research directions require further research.
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In social settings, people often need to reason about unobservablemental content of other people, such as their beliefs, goals, orintentions. This ability helps them to understand, to predict, and evento influence the behavior of others. People can take this ability furtherby applying it recursively. For example, they use second-order theory ofmind to reason about the way others use theory of mind, as in ‘Alicebelieves that Bob does not know about the surprise party’. However,empirical evidence so far suggests that people do not spontaneously usehigher-order theory of mind in strategic games. Previous agent-basedmodeling simulations also suggest that the ability to recursively applytheory of mind may be especially effective in competitive settings. Inthis paper, we use a combination of computational agents and Bayesianmodel selection to determine to what extent people make use of higherordertheory of mind reasoning in a particular competitive game, theMod game, which can be seen as a much larger variant of the well-knownrock-paper-scissors game.We let participants play the competitive Mod game against computationaltheory of mind agents. We find that people adapt their level oftheory of mind to that of their software opponent. Surprisingly, knowinglyplaying against second- and third-order theory of mind agents enticeshuman participants to apply up to fourth-order theory of mindthemselves, thereby improving their results in the Mod game. This phenomenoncontrasts with earlier experiments about other strategic oneshotand sequential games, in which human players only displayed lowerorders of theory of mind.
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