Learning in virtual worlds : Using communities of practice to explain how people learn from play

Although there is interest in the educational potential of online multiplayer games and virtual worlds, there is still little evidence to explain specifically what and how people learn from these environments. This paper addresses this issue by exploring the experiences of couples that play World of Warcraft together. Learning outcomes were identified (involving the management of ludic, social and material resources) along with learning processes, which followed Wenger’s model of participation in Communities of Practice. Comparing this with existing literature suggests that productive comparisons can be drawn with the experiences of distance education students and the social pressures that affect their participation

Training Competences in Industrial Risk Prevention with Lego® Serious Play®: A Case Study

This paper proposes the use of the Lego® Serious Play® (LSP) methodology as a facilitating tool for the introduction of competences for Industrial Risk Prevention by engineering students from the industrial branch (electrical, electronic, mechanical and technological engineering), presenting the results obtained in the Universities of Cadiz and Seville in the academic years 2017–2019. Current Spanish legislation does not reserve any special legal attribution, nor does it require specific competence in occupational risk prevention for the regulated profession of a technical industrial engineer (Order CIN 351:2009), and only does so in a generic way for that of an industrial engineer (Order CIN 311:2009). However, these universities consider the training in occupational health and safety for these future graduates as an essential objective in order to develop them for their careers in the industry. The approach is based on a series of challenges proposed (risk assessments, safety inspections, accident investigations and fire protection measures, among others), thanks to the use of “gamification” dynamics with Lego® Serious Play®. In order to carry the training out, a set of specific variables (industrial sector, legal and regulatory framework, business organization and production system), and transversal ones (leadership, teamwork, critical thinking and communication), are incorporated. Through group models, it is possible to identify dangerous situations, establish causes, share and discuss alternative proposals and analyze the economic, environmental and organizational impact of the technical solutions studied, as well as take the appropriate decisions, in a creative, stimulating, inclusive and innovative context. In this way, the theoretical knowledge which is acquired is applied to improve safety and health at work and foster the prevention of occupational risks, promoting the commitment, effort, motivation and proactive participation of the student teams.Spanish Ministry of Science, Innovation and Universities / European Social Fund: Ramón y Cajal contract (RYC-2017-22222

Training Competences in Industrial Risk Prevention with Lego (R) Serious Play (R): A Case Study

This paper proposes the use of the Lego (R) Serious Play (R) (LSP) methodology as a facilitating tool for the introduction of competences for Industrial Risk Prevention by engineering students from the industrial branch (electrical, electronic, mechanical and technological engineering), presenting the results obtained in the Universities of Cadiz and Seville in the academic years 2017-2019. Current Spanish legislation does not reserve any special legal attribution, nor does it require specific competence in occupational risk prevention for the regulated profession of a technical industrial engineer (Order CIN 351:2009), and only does so in a generic way for that of an industrial engineer (Order CIN 311:2009). However, these universities consider the training in occupational health and safety for these future graduates as an essential objective in order to develop them for their careers in the industry. The approach is based on a series of challenges proposed (risk assessments, safety inspections, accident investigations and fire protection measures, among others), thanks to the use of "gamification" dynamics with Lego (R) Serious Play (R). In order to carry the training out, a set of specific variables (industrial sector, legal and regulatory framework, business organization and production system), and transversal ones (leadership, teamwork, critical thinking and communication), are incorporated. Through group models, it is possible to identify dangerous situations, establish causes, share and discuss alternative proposals and analyze the economic, environmental and organizational impact of the technical solutions studied, as well as take the appropriate decisions, in a creative, stimulating, inclusive and innovative context. In this way, the theoretical knowledge which is acquired is applied to improve safety and health at work and foster the prevention of occupational risks, promoting the commitment, effort, motivation and proactive participation of the student teams

Building Machines That Learn and Think Like People

Recent progress in artificial intelligence (AI) has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and board games, achieving performance that equals or even beats humans in some respects. Despite their biological inspiration and performance achievements, these systems differ from human intelligence in crucial ways. We review progress in cognitive science suggesting that truly human-like learning and thinking machines will have to reach beyond current engineering trends in both what they learn, and how they learn it. Specifically, we argue that these machines should (a) build causal models of the world that support explanation and understanding, rather than merely solving pattern recognition problems; (b) ground learning in intuitive theories of physics and psychology, to support and enrich the knowledge that is learned; and (c) harness compositionality and learning-to-learn to rapidly acquire and generalize knowledge to new tasks and situations. We suggest concrete challenges and promising routes towards these goals that can combine the strengths of recent neural network advances with more structured cognitive models.Comment: In press at Behavioral and Brain Sciences. Open call for commentary proposals (until Nov. 22, 2016). https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/information/calls-for-commentary/open-calls-for-commentar

Understanding the Intrinsic Motivations of User Acceptance of Hedonic Information Systems: Towards a Unified Research Model

Although user acceptance of entertainment-oriented information systems (IS), which are called Hedonic IS (HIS), has drawn considerable attention in literature, our understanding of user acceptance of HIS is still limited. This article focuses on exploring the intrinsic motivations of HIS acceptance from a unique perspective. It proposes a hybrid HIS acceptance model that considers the unique characteristics of HIS and the multiple conceptual identities of an HIS user. The model integrates intrinsic motivation factors from Hedonic theory, Flow theory, and the PAD (Pleasure, Arousal, and Dominance) emotion model with the Technology Acceptance Model. The proposed hybrid HIS acceptance model has been empirically tested by a quantitative field survey. The results indicate that emotional responses, imaginal responses, and flow experience are three main predictors of HIS acceptance

Does size really matter: a review of the role of stake and prize levels in relation to gambling-related harm

Regulatory and industry decisions influencing commercial gambling activities require clear understanding of the role that stakes and prizes play in the development and facilitation of gambling-related harm. Although industry proponents argue for increases in stakes and prizes to meet market demands, regulators remain cautious about the potential implication for gambling-related harm, while industry opponents generally condemn relaxing aspects of gambling policies. To inform this debate, this paper provides a critical examination of the relevant literature. From the review, it is concluded that limitations of the existing literature restrict our ability to draw definitive conclusions regarding the effects of stake and prize variables. Most studies contain multiple, methodological limitations, the most significant of which are diluted risk and reward scenarios used in analogue research settings not reflective of real gambling situations. In addition, there is a lack of conceptual clarity regarding many constructs, particularly the parameters defining jackpots, and the interactive nature and effect of the differing configurations of game parameters and environments are often not taken into consideration when investigating changes to one or more variables. Notwithstanding these limitations, there is sufficient evidence to suggest that stake and prize levels merit consideration in relation to harm minimisation efforts. However, substantial knowledge gaps currently exist, particularly in relation to understanding staking and prize thresholds for risky behaviour, how the impact of stakes and prizes change depending on the configuration and interaction of other game characteristics, and the role of individual and situational determinants. Based on the potential risk factors and the implications for commercial appeal, a player-focussed harm minimisation response may hold the most promise for future research and evaluation in jurisdictions where gambling is a legal and legitimate leisure activity

The Role of Massively Multiplayer Role-Playing Games in Facilitating Vocabulary Acquisition for English Language Learners: A Mixed-Methods Study

Slow vocabulary development and poor comprehension among English Language learners (ELLs) (August, Carlo, & Snow, 2005) have resulted in an academic achievement gap between ELLs and native English-speaking learners in the United States (Klingner, Artiles, & Barletta, 2006; Wilde, 2010). This mixed-methods sequential explanatory research aims to help narrow the academic gap by providing increased engagement and interaction opportunities to ELLs. In this study, I replicated and extended Bourgonjon et al. (2010)’s study identifying the predictive factors of students’ acceptance for using video games in the classrooms. A sequential qualitative study with 11 selected participants was conducted to explain how the factors, tested in the first quantitative phase of study, facilitate ELLs’ vocabulary growth. I triangulated the results of the two phases and the discussion of the findings to answer my research questions. Based on the data collected from 371 participants via a web-based survey, I tested the reliability and validity of the adapted survey scale items using inter-item correlations, factor analysis, and internal consistency reliability tests. Then, I formulated and validated path models to test the hypotheses related to relationships among variables. Results from the analysis concluded that the factor of perceived learning opportunity is an important predictors for players’ preference for using MMORPGs in the L2 English classroom. The follow-up qualitative study aims to explain why certain factors identified in the first phase were significant predictors that impact players’ preference to use MMORPGs to obtain L2 English vocabulary. Evidence shows that game texts and social interactions are major learning opportunities provided by MMORPGs. I expect that this study, along with further research in this area, will help teachers integrate MMORPGs or related game mechanics into their regular instruction to provide increased engagement and interaction opportunities to English language learners