Learning While Playing

This chapter reports on the initial results of a study conducted in the project FunTain. The main purpose was to identify general guidelines/implications for edutainment games, in order to guide designers of such games as they often lack in design guidelines. Usability evaluations were conducted on an edutainment game in order to find usability problems. These findings were analyzed and used as input in focus group meetings, held with joint teams of game designers and HCI experts. The outcome of the focus groups was a proposal of a list of ten general design guidelines. Findings indicate that users had problems in understanding the underlying model for the game as well as identifying the knowledge related content. Experts, further, gave comments about feedback problems and different types of consistencies. Some of the implications from the findings are guidelines for earning and loosing points, scoring and performance feedback and game object characteristics.

Interaction with MMOGs and Implications for E-Learning Design

E-learning is emerging as one of the fastest organizational uses of the Internet as a supplementary or alternative mode for corporate training. However its effectiveness is questioned and most of e-learning courses and applications have been accused of being quite static, non-authentic and superficial, poorly designed, and thus non-motivating. Their philosophical assumption views learning as an isolated phenomenon, a static knowledge in a can that could be transmitted to the learners. In this chapter it is argued that many useful lessons for e-learning designers can be learned from game design and especially from the design of massive multi-player online games (MMOGs). A review on instructional quality of games and design elements of MMOGs is conducted under the perspective of adult learning, in order to identify, adapt, and propose design implications for e-learning design.

Designing Games for Learning

This chapter discusses two games that were designed to target learning as well as implications for the design of future games intended for this purpose. It illustrates how the ADDIE model of instructional design can be leveraged to produce digital game spaces as well as the limitations that designers face based on the goals of the project, the chosen technology, and the audience chosen for the digital intervention. The goal of this chapter is to use real-world examples of learning game design processes in order to prepare instructional designers for the complexity of using game and instructional design principles as a means of improving student motivation, learning, and other psychological factors that prepare them for engaging meaningfully in the educational experience.

Instructional Game Design Using Cognitive Load Theory

This chapter proposes an instructional game design framework based on the 4C/ID-model and cognitive load theory, its associated theoretical foundation. The proposed systematic design framework serves as the processing link to connect games’ powerful characteristics in enhancing learning experience with desired learning outcomes. In this chapter we focus on the cognitive aspect of learning outcome: the development of transferable schema. This chapter introduces design guidelines to attain specific game characteristic by prioritizing the design components in 4C/ID-model. Each game characteristic consists of three levels of design emphasis: preliminary, secondary, and tertiary. The ultimate goal of this chapter is to initiate a series of dialogue between cognitive learning outcome, systematic instructional design, and instructional game design thereby seeking to improve the overall game design and instructional efficiency.

GaME Design for Intuitive Concept Knowledge

Game-based, metaphor-enhanced (GaME) design is a process for engineering instructional games to prepare learners with the prior knowledge they need to learn later, more complex science concepts. The key step in the method is specifying a domain’s relational structure and then developing a game world based upon that structure. Reviewing relevant game design, cognitive science, and learning science theories, the author argues: (a) the need for GaME design; (b) that game worlds, complex concepts, and mental models are analogous systems; (c) how game-based technologies can provide a pragmatic and embodied context for making complex, introductory concepts intuitive; and (d) that the pragmatic, physical, and procedural aspects of games make them powerful learning tools that must be carefully designed. The author illustrates GaME design using Selene: A Lunar Creation GaME. Rigorous methods for design of instructional games will enhance control over learning outcomes.

Gender and Racial Stereotypes in Popular Video Games

While the violent content of video games has caused wide concern among scholars, gender, and racial stereotypes in video games are still an understudied area. The purpose of this chapter is to provide a better understanding of the stereotypical phenomenon in video games. The book chapter first provides a comprehensive review of previous studies conducted upon gender-role and racial portrayals in video games. Then a small-scale content analysis on a sample of official trailers, introductory sequences and covers of 19 of the most popular video games is introduced. Finally, the implications of stereotype in video games and the possible social and psychological impacts on players, especially adolescent players, are discussed.

Play Styles and Learning

This chapter reviews player types found in commercial MMOs and educational games and a palette of play styles and learning is proposed from which game designers and educators can more easily imagine (or perhaps “paint”) their target audience. Two studies show how the palette might be applied. Study 1 examines the impact of different in-game reward schemas on player types. Study 2 compares classroom play with one child per computer versus paired play of the same educational game. Educational game design and the way a teacher structures in-class educational game play both influence emergent play and learning. Player archetypes (more commonly called player types) help game designers imagine the needs and interests of potential players. Considering learner types would be similarly useful. Learning styles relevant to educational game design and classroom use are described, including intrinsic and extrinsic achievement orientation, motivation, individual traits, and competition and other social factors.

Development, Identity, and Game-Based Learning

This chapter considers the use of computer games to help students construct their personal identity and develop dispositions that become active and responsible citizenship. It argues that the construction of identity requires both performative and narrative components and that these elements can be realized in a learning environment that affords students the opportunity to engage in a dialectic interplay between role playing in a game world and dialogic interaction outside of the game world. Research findings from an initial data set showing how students project their identities onto in-game characters are shared. The findings suggest that role playing in computer games can be effective in fostering attitudes, values, and beliefs desired of citizenship education.

Evaluating and Managing Cognitive Load in Games

This chapter provides an overview of our cognitive architecture and its implications for the design of game-based learning environments. Design of educational technologies should take into account how the human mind works and what its cognitive limitations are. Processing limitations of working memory, which becomes overloaded if more than a few chunks of information are processed simultaneously, represent a major factor influencing the effectiveness of learning in educational games. The chapter describes different types and sources of cognitive load and the specific demands of games on cognitive resources. It outlines information presentation design methods for dealing with potential cognitive overload, and presents some techniques (subjective rating scales, dual-task techniques, and concurrent verbal protocols) that could be used for evaluating cognitive load in electronic gaming in education.

Designing a Computational Model of Learning

What would a game or simulation need to have in order to teach a teacher how people learn? This chapter uses a four-part framework of knowledge, learner, assessment, and community (Bransford et al., 2000) to discuss design considerations for building a computational model of learning. A teaching simulation—simSchool—helps illustrate selected psychological, physical, and cognitive models and how intelligence can be represented in software agents. The design discussion includes evolutionary perspectives on artificial intelligence and the role of the conceptual assessment framework (Mislevy et al., 2003) for automating feedback to the simulation user. The purpose of the chapter is to integrate a number of theories into a design framework for a computational model of learning.