Research Review: Empirical Studies on Computer Game Play in Science Education

Research Review: Empirical Studies on Computer Game Play in Science Education

Gunilla Svingby, Elisabet M. Nilsson
DOI: 10.4018/978-1-60960-495-0.ch001
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The interest for game-based learning is growing among science educators. A range of research reviews have been published regarding the educational potentials of using computer games as a tool for learning and mediation, but on a general level. This research review focuses on empirical studies conducted on computer game play specifically used to enhance science learning. 50 publications published during the last decade were found that met the criteria of presenting empirical data from students using games for learning science in school contexts. The studies are reviewed and analysed according to: type of game, research design, research interests and research methodology, school subject and content, number and age of students, time spent on the intervention, gender, and teacher roles. The scope and quality of the studies are also discussed.
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Educational Potentials Of Computer Game Play

Researchers have long suggested that science instruction should provide students with opportunities to explore the world, and to make connections between these explorations and their personal lives (e.g. Aikenhead, 2007; Linder et al., 2007; Zeidler, 2007). Science educators in many countries have, accordingly, worked for decades to infuse inquiry into the school, but good scientific inquiry seems to be hard to implement in classrooms (Ekborg et al., 2009; Linder et al., 2007). Evaluations report, that given the constraints of classroom settings, real world data collection and laboratory experiments are difficult to conduct, meaning that there are limited opportunities for teaching higher order inquiry skills in the ordinary classroom (Linder et al., 2007). The contextual clues offered to teachers by textbooks tend to lead away from inquiry (Phelps & Lee, 2003). Game-based learning approaches, on the other hand, are constructed to situate learners in complex and authentic tasks. Given the widely acknowledged lack of student interest in school science, and the downward trend in results (e.g. Jidesjö & Oscarsson, 2006; Linder et al., 2007; Osborne, 2007), the educational potential of computer game play (e.g. Aiktin, 2004; Gee, 2003; Klopfer, 2008; Williamson, 2009) might be of interest to science educators. To achieve this, authentic problems, concepts and processes are embedded in the narrative, that provide scope for scientific inquiry (Barab et al., 2007; 2007a, 2007b; Ketelhut, 2007; Magnussen, 2008; Neulight et al. 2007).

When comparing scientific literacy or science education standards (e.g. NRC, 1996; OECD, 2003) with the characteristics of computer games, some striking correspondences can be found. Squire and Jan (2007), for example, identify five core features pertinent to designing computer games for learning. (1) Games ask students to inhabit roles. Players are encouraged to create identities that blend the game player role and the role as a scientific professional. All information, experiences and rewards occur within this role, leading to the development of specific skills and competencies mediated by digital tools (e.g. digital lab equipment). (2) The activities in the game are organised around challenges and rewards, designed to support engagement, collaboration, and learning. (3) The games offer opportunities to tie goals to particular places, particularly sites of contested spaces. (4) The games allow for embedding authentic resources and tools that enable acting on higher levels. Digital tools, such as research labs and calculators, both mediate play and provide opportunities for players to interact with the environment in new ways. (5) Playing games is fundamentally social, and produces social interaction. After having been met with scepticism at the outset, and seen as “only play”, public interest in computer games as learning tools seems to be spreading internationally (Van Eck, 2006, p. 2). On the other hand, even if theoretical assumptions ascribe computer games great potential for learning, strict empirical research is still lacking, to explain if and why computer games are effective in practice, and if so, under which conditions (e.g. Egenfeldt-Nielsen, 2007; Hanghøj, 2008; Linderoth, 2009; Williamson, 2009; Wong et al., 2007). Aitkin (2004) compares the nature of today’s science research with simulation games, and points to simulation as the core of most scientific research today.

Key Terms in this Chapter

Science Education: Science learning in school, including the physics, chemistry, biology.

Empirical Studies: Studies presenting results that are based upon empirical data, and not on theoretical assumptions.

Formal School Settings: Learning activities in school.

Research Review: An overview and analysis of the publications found that met the set criteria.

K-12 Students: Students aged 6-18 years.

Game-Based Learning: Learning settings involving computer game play.

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