Internet cognitive failure affects learning progress as mediated by cognitive anxiety and flow while playing a Chinese antonym synonym game with interacting verbal-analytical and motor-control

According to the person-artifact-task model, the process of gameplay can trigger a range of emotional responses and wide variation in students' behaviors, consequently leading to varying learning outcomes. How internet cognitive failure (ICF) can affect a game player's cognitive anxiety and flow experience, and how this interplays with learning progress was explored in this study. Ninth grade students participated in playing "Running Chinese Zodiac", a Chinese antonyms and synonyms App game, which combines interactions of verbal-analytical aspects with motor-control. The motor-control aspect required players to control a tilt mechanism by tilting the smartphone left or right to select the correct answer. Data from 149 students were collected and subjected to confirmatory factor analysis and structural equation modeling. The results revealed that ICF was positively correlated to cognitive anxiety, but it was negatively correlated to flow experience. Cognitive anxiety was negatively correlated to flow experience and learning progress; while flow experience was found to be positively correlated to learning progress. The results implied that a game with verbal-analytical and motor-control would be useful to students with a low level of ICF to learn Chinese synonyms and antonyms. Internet cognitive failure was positively correlated to cognitive anxiety.Internet cognitive failure was negatively correlated to flow experience.Cognitive anxiety was negatively correlated to learning progress and flow experience.Flow experience was positively correlated to learning progress.App with verbal-analytical and motor control is useful for students with low ICF.

[1]  Maureen A. Conard,et al.  Interest level improves learning but does not moderate the effects of interruptions: An experiment using simultaneous multitasking , 2014 .

[2]  Hercy N. H. Cheng,et al.  Equal opportunity tactic: Redesigning and applying competition games in classrooms , 2009, Comput. Educ..

[3]  Gustavo Deco,et al.  The neuronal dynamics underlying cognitive flexibility in set shifting tasks , 2007, Journal of Computational Neuroscience.

[4]  Christian Lebiere,et al.  Modeling Human Performance in Complex Systems , 2012 .

[5]  M. Csíkszentmihályi Flow: The Psychology of Optimal Experience , 1990 .

[6]  J. Ellis Prospective memory or the realization of delayed intentions: A conceptual framework for research. , 1996 .

[7]  J. Hair Multivariate data analysis , 1972 .

[8]  K. Kiili Digital game-based learning: Towards an experiential gaming model , 2005, Internet High. Educ..

[9]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[10]  Reinhard Pekrun,et al.  Positive emotions in education. , 2002 .

[11]  Stanley A. Mulaik,et al.  Linear Causal Modeling with Structural Equations , 2009 .

[12]  D. Broadbent,et al.  The Cognitive Failures Questionnaire (CFQ) and its correlates. , 1982, The British journal of clinical psychology.

[13]  Barbara Schneider,et al.  Becoming Adult How Teenagers Prepare For The World Of Work , 2000 .

[14]  Michail N. Giannakos,et al.  Enjoy and learn with educational games: Examining factors affecting learning performance , 2013, Comput. Educ..

[15]  B. Desgranges,et al.  Distinct and shared cognitive functions mediate event- and time-based prospective memory impairment in normal ageing , 2011, Memory.

[16]  Timo Lainema,et al.  Flow framework for analyzing the quality of educational games , 2014, Entertain. Comput..

[17]  Jodi Asbell-Clarke,et al.  Challenging games help students learn: An empirical study on engagement, flow and immersion in game-based learning , 2016, Comput. Hum. Behav..

[18]  Steven J. Kass,et al.  The Cognitive Failures Questionnaire Revisited: Dimensions and Correlates , 2002, The Journal of general psychology.

[19]  Niels Birbaumer,et al.  Motor skill failure or flow-experience? Functional brain asymmetry and brain connectivity in elite and amateur table tennis players , 2015, Biological Psychology.

[20]  Glenn Pearce,et al.  A study into the effects of a board game on flow in undergraduate business students , 2015 .

[21]  Scott L. Hershberger,et al.  The Growth of Structural Equation Modeling: 1994-2001 , 2003 .

[22]  Gregory R. Hancock,et al.  Structural equation modeling : a second course , 2006 .

[23]  Kwaku Akrofi,et al.  Alterations of the emotional processing system may underlie preserved rapid reaction time in tinnitus , 2014, Brain Research.

[24]  José J. Cañas,et al.  Evaluating mental workload while interacting with computer-generated artificial environments , 2013, Entertain. Comput..

[25]  Ajay B. Satpute,et al.  The Functional Neural Architecture of Self-Reports of Affective Experience , 2013, Biological Psychiatry.

[26]  G. Clarebout,et al.  Competition and students’ perceptions in a game-based language learning environment , 2013 .

[27]  R. MacCallum,et al.  Power Analysis in Covariance Structure Modeling Using GFI and AGFI. , 1997, Multivariate behavioral research.

[28]  A. Bakker The work-related flow inventory: Construction and initial validation of the WOLF , 2008 .

[29]  Wynne W. Chin The partial least squares approach for structural equation modeling. , 1998 .

[30]  Elena Novak,et al.  Using video game play to improve education-majors' mathematical performance: An experimental study , 2015, Comput. Hum. Behav..

[31]  Jenova Chen,et al.  Flow in games (and everything else) , 2007, CACM.

[32]  D. Bavelier,et al.  The role of selective attention on academic foundations: A cognitive neuroscience perspective , 2012, Developmental Cognitive Neuroscience.

[33]  P. Calvo,et al.  Directions for an Embodied Cognitive Science , 2008 .

[34]  Roland Neumann,et al.  Effects of approach-avoidance related motor behaviour on the startle response during emotional picture processing , 2014, Biological Psychology.

[35]  R. Engle Working Memory Capacity as Executive Attention , 2002 .

[36]  Ping Zhang,et al.  A person-artefact-task (PAT) model of flow antecedents in computer-mediated environments , 2003, Int. J. Hum. Comput. Stud..

[37]  Felicia A. Huppert,et al.  High prevalence of prospective memory impairment in the elderly and in early-stage dementia: Findings from a population-based study , 2000 .

[38]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[39]  Joseph R. Bardeen,et al.  Sex differences in the indirect effects of cognitive processes on anxiety through emotion regulation difficulties , 2015 .

[40]  Janet Wesson,et al.  Improving the controllability of tilt interaction for mobile map-based applications , 2012, Int. J. Hum. Comput. Stud..

[41]  C. Grillon,et al.  Describing the interplay between anxiety and cognition: from impaired performance under low cognitive load to reduced anxiety under high load. , 2012, Psychophysiology.

[42]  Lars Bäckman,et al.  Patterns of prospective and retrospective memory impairment in preclinical Alzheimer's disease. , 2006, Neuropsychology.

[43]  M. Csíkszentmihályi Flow. The Psychology of Optimal Experience. New York (HarperPerennial) 1990. , 1990 .

[44]  Yi-Ling Chen,et al.  Using a "prediction-observation-explanation" inquiry model to enhance student interest and intention to continue science learning predicted by their Internet cognitive failure , 2014, Comput. Educ..

[45]  Christian Grillon,et al.  The impact of anxiety upon cognition: perspectives from human threat of shock studies , 2013, Front. Hum. Neurosci..

[46]  Margaret Wilson,et al.  Six views of embodied cognition , 2002, Psychonomic bulletin & review.

[47]  Jon-Chao Hong,et al.  Internet cognitive failure relevant to self-efficacy, learning interest, and satisfaction with social media learning , 2016, Comput. Hum. Behav..

[48]  Tal Sobol-Shikler,et al.  Automatic inference of complex affective states , 2011 .

[49]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[50]  M. Csíkszentmihályi Beyond boredom and anxiety , 1975 .

[51]  A. Damasio,et al.  Deciding Advantageously Before Knowing the Advantageous Strategy , 1997, Science.

[52]  A. Buss,et al.  Two anxiety factors in psychiatric patients. , 1962, Journal of abnormal and social psychology.

[53]  Yi-Shun Wang,et al.  Predicting smartphone brand loyalty: Consumer value and consumer-brand identification perspectives , 2016, Int. J. Inf. Manag..

[54]  N. Lavie,et al.  High Perceptual Load Makes Everybody Equal , 2007, Psychological science.

[55]  Charles D. Spielberger,et al.  Anxiety as an Emotional State , 1972 .

[56]  Ryan Shaun Joazeiro de Baker,et al.  Modeling how incoming knowledge, persistence, affective states, and in-game progress influence student learning from an educational game , 2015, Comput. Educ..

[57]  Erol Özçelik,et al.  The effect of competition on learning in games , 2015, Comput. Educ..

[58]  Cyril Brom,et al.  Flow, social interaction anxiety and salivary cortisol responses in serious games: A quasi-experimental study , 2014, Comput. Educ..

[59]  K. Ikoma,et al.  Brain activity during the flow experience: A functional near-infrared spectroscopy study , 2014, Neuroscience Letters.

[60]  Lieven De Marez,et al.  Improving arithmetic skills through gameplay: Assessment of the effectiveness of an educational game in terms of cognitive and affective learning outcomes , 2014, Inf. Sci..

[61]  Richard G. Lomax,et al.  A Beginner's Guide to Structural Equation Modeling , 2022 .

[62]  Chris North,et al.  Design and evaluation of freehand menu selection interfaces using tilt and pinch gestures , 2011, Int. J. Hum. Comput. Stud..

[63]  M. Csíkszentmihályi,et al.  The Concept of Flow , 2014 .

[64]  Bryan P. Bergeron,et al.  Developing serious games , 2006 .

[65]  Steven P. Tipper,et al.  Individual differences in selective attention: The relation of priming and interference to cognitive failure , 1987 .

[66]  Sharon L Thompson-Schill,et al.  Approach, Avoidance, and Inhibition: Personality Traits Predict Cognitive Control Abilities. , 2011, Personality and individual differences.

[67]  Patrick R. Thomas,et al.  Relationships between Flow, Self-Concept, Psychological Skills, and Performance , 2001 .

[68]  Angela J. Yu,et al.  Should I stay or should I go? How the human brain manages the trade-off between exploitation and exploration , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.

[69]  F. Ullén,et al.  Physiological correlates of the flow experience during computer game playing. , 2015, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[70]  Barbara D. Klein,et al.  An Examination of the Effects of Flow on Learning in a Graduate-Level Introductory Operations Management Course , 2010 .

[71]  Steven Taylor,et al.  Robust dimensions of anxiety sensitivity: development and initial validation of the Anxiety Sensitivity Index-3. , 2007, Psychological assessment.

[72]  William J. Doll,et al.  A Confirmatory Factor Analysis of the End-User Computing Satisfaction Instrument , 1994, MIS Q..

[73]  John Pates,et al.  The Effects of Hypnosis on Flow States and Performance , 1994 .