Lifelong Learning with a Digital Math Game: Performance and Basic Experience Differences Across Age

Gaming is acknowledged as a natural way of learning and established as a mainstream activity. Nevertheless, gaming performance and subjective game experience were hardly examined across adult age groups for which the game was not intended to. In contrast to serious games as specific tools against a natural, age-related decline in cognitive performance, we evaluated performance and subjective experiences of the established math learning game Semideus across three age groups from 19 to 79. Observed decline in performance in terms of processing speed were not exclusively predicted by age, but also by gaming frequency. Strongest age-related drops of processing speed were found for the middle-aged group aged 35 to 59 years. On the other hand, more knowledge-dependent performance measures like the amount of correctly solved problems remained comparably stable. According to subjective ratings, the middle-aged group experienced the game as less fluent and automatic compared to the younger and older groups. Additionally, the elderly group of participants reported fewer negative attitudes towards technology than both younger groups. We conclude that, albeit performance differences with respect to processing speed, subjective gaming experience stayed on an overall high positive level. This further encourages the use of games for learning across age.

[1]  Bob De Schutter,et al.  Miami Six-O: Lessons Learned From an Intergenerational Game Design Workshop , 2017 .

[2]  Amanda Wilson,et al.  A systematic literature review of games-based learning empirical evidence in primary education , 2016, Comput. Educ..

[3]  David C. Geary,et al.  Development of Number Line Representations in Children With Mathematical Learning Disability , 2008, Developmental neuropsychology.

[4]  John C. Cavanaugh,et al.  Adult Development and Aging , 1989 .

[5]  Martin Schrepp,et al.  Konstruktion eines Fragebogens zur Messung der User Experience von Softwareprodukten , 2006, MuC.

[6]  Philipp Brauner,et al.  Serious Games for Cognitive Training in Ambient Assisted Living Environments - A Technology Acceptance Perspective , 2015, INTERACT.

[7]  M. Farage,et al.  Design Principles to Accommodate Older Adults , 2012, Global journal of health science.

[8]  Kristian Kiili,et al.  Flow experience in game based learning - a systematic literature review , 2017, Int. J. Serious Games.

[9]  Alexandra Rankin Macgill,et al.  Teens, Video Games, and Civics: Teens' Gaming Experiences Are Diverse and Include Significant Social Interaction and Civic Engagement. , 2008 .

[10]  Josep Blat,et al.  Game-Based Learning Across the Lifespan , 2017 .

[11]  Regina Vollmeyer,et al.  Die Erfassung des Flow-Erlebens , 2003 .

[12]  B. D. Schutter,et al.  Towards a Gerontoludic Manifesto , 2015 .

[13]  Pedro Miguel Moreira,et al.  Serious games for rehabilitation: A survey and a classification towards a taxonomy , 2010, 5th Iberian Conference on Information Systems and Technologies.

[14]  B. Sahakian,et al.  The mental wealth of nations , 2008, Nature.

[15]  Federica Pallavicini,et al.  Video Games for Well-Being: A Systematic Review on the Application of Computer Games for Cognitive and Emotional Training in the Adult Population , 2018, Front. Psychol..

[16]  Bruno Bonnechère,et al.  The use of commercial video games in rehabilitation: a systematic review , 2016, International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation.

[17]  Margarida Romero,et al.  Expanding the Game Design Play and Experience Framework for Game-Based Lifelong Learning (GD-LLL-PE) , 2017 .

[18]  Arthur F. Kramer,et al.  Examining cognitive function across the lifespan using a mobile application , 2012, Comput. Hum. Behav..

[19]  Arthur D. Fisk,et al.  Designing for Older Adults: Principles and Creative Human Factors Approaches , 2004 .

[20]  B. Jansen,et al.  Suitability of functional evaluation embedded in serious game rehabilitation exercises to assess motor development across lifespan. , 2017, Gait & posture.

[21]  Korbinian Moeller,et al.  Potential and limits of game-based learning , 2020, International Journal of Technology Enhanced Learning.

[22]  Kristian Kiili,et al.  Assessing fraction knowledge by a digital game , 2017, Comput. Hum. Behav..

[23]  Daniel M Wolpert,et al.  Fast But Fleeting: Adaptive Motor Learning Processes Associated with Aging and Cognitive Decline , 2014, The Journal of Neuroscience.

[24]  R. Siegler,et al.  The Development of Numerical Estimation , 2003, Psychological science.

[25]  B. Ulrich,et al.  Early gait development in human infants: Plasticity and clinical applications. , 2015, Developmental psychobiology.

[26]  R. Iyer,et al.  The impact of cognitive age on Internet use of the elderly: an introduction to the public policy implications , 2005 .

[27]  Mika Luimula,et al.  Impact of Serious Games on Health and Well-being of Elderly: A Systematic Review , 2017, HICSS.

[28]  S. Czaja,et al.  Age differences in attitudes toward computers. , 1998, The journals of gerontology. Series B, Psychological sciences and social sciences.

[29]  Martin Raubal,et al.  GazeNav: Gaze-Based Pedestrian Navigation , 2015, MobileHCI.

[30]  C. Edwards Three Approaches from Europe: Waldorf, Montessori, and Reggio Emilia. , 2002 .