High school students' perceptions of affect and collaboration during virtual science inquiry learning

This study examined affect during high school students' face-to-face collaborative inquiry learning in science, supported by the web-based software Virtual Baltic Sea Explorer. Self-reported affective states during the inquiry process in peer groups were related to evaluations of a group's collaboration and performance in three phases of interdisciplinary science inquiry (biology and chemistry). Results indicate that despite high cognitive demands, positive affect prevailed whereas negative affect was infrequent. Structural equation modelling was used to analyse the significance of affect on collaboration and group performance. The relationship between affect, collaboration, and the groups' productive outcome revealed that self-assurance had a significant effect on collaboration and support, intertwined with scientific understanding and group performance. Furthermore, a cross-lagged analysis showed a reciprocal relation between positive affect, scientific understanding, collaboration, and support. These outcomes contribute to the scarce literature on the nature and importance of affect in the process of face-to-face computer-supported collaborative inquiry and learning in science.

[1]  Tom Lunney,et al.  An emotional student model for game-play adaptation , 2011, Entertain. Comput..

[2]  J. Russell,et al.  Independence and bipolarity in the structure of current affect. , 1998 .

[3]  Marold Wosnitza,et al.  Origin, direction and impact of emotions in social online learning , 2005 .

[4]  Stephen M. Ritchie,et al.  Temporality of Emotion: Antecedent and Successive Variants of Frustration When Learning Chemistry , 2017 .

[5]  Ann C. Jones,et al.  Learning technologies: Affective and social issues in computer-supported collaborative learning , 2005, Comput. Educ..

[6]  Jordi Conesa,et al.  A Dual-Modal System that Evaluates User's Emotions in Virtual Learning Environments and Responds Affectively , 2013, J. Univers. Comput. Sci..

[7]  L. Stankov,et al.  Confidence: A better predictor of academic achievement than self-efficacy, self-concept and anxiety? , 2012 .

[8]  R. Sheldrake Students’ intentions towards studying science at upper-secondary school: the differential effects of under-confidence and over-confidence , 2016 .

[9]  Jari Lavonen,et al.  Investigating Optimal Learning Moments in U.S. and Finnish Science Classes. , 2016 .

[10]  Z. Zacharia,et al.  Physical and Virtual Laboratories in Science and Engineering Education , 2013, Science.

[11]  A. Satorra,et al.  Complex Sample Data in Structural Equation Modeling , 1995 .

[12]  J. Gross Antecedent- and response-focused emotion regulation: divergent consequences for experience, expression, and physiology. , 1998, Journal of personality and social psychology.

[13]  Robert A. Ellis,et al.  Relations between students' approaches to learning, experienced emotions and outcomes of learning , 2012 .

[14]  Paul A. Kirschner,et al.  Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: a review of the research , 2003, Comput. Hum. Behav..

[15]  L. Naudé,et al.  “Learning to like learning”: an appreciative inquiry into emotions in education , 2014 .

[16]  Wondimu Ahmed,et al.  Emotions, Self-Regulated Learning, and Achievement in Mathematics: A Growth Curve Analysis , 2013 .

[17]  Hanna Järvenoja,et al.  Research on Motivation in Collaborative Learning: Moving Beyond the Cognitive–Situative Divide and Combining Individual and Social Processes , 2010 .

[18]  T. Goetz,et al.  Academic Emotions in Students' Self-Regulated Learning and Achievement: A Program of Qualitative and Quantitative Research , 2002 .

[19]  K. Ewing The Illusion of Wholeness: Culture, Self and the Experience of Inconsistency , 1990 .

[20]  J. Russell Core affect and the psychological construction of emotion. , 2003, Psychological review.

[21]  Peter Op 't Eynde,et al.  Focusing on the Complexity of Emotion Issues in Academic Learning: A Dynamical Component Systems Approach , 2006 .

[22]  A. Fischer,et al.  Emotional collectives: How groups shape emotions and emotions shape groups , 2016, Cognition & emotion.

[23]  Richard E. Clark,et al.  Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching , 2006 .

[24]  Niels Pinkwart,et al.  Extending a virtual chemistry laboratory with a collaboration script to promote conceptual learning , 2010 .

[25]  Tilman Wolf,et al.  Assessing Student Learning in a Virtual Laboratory Environment , 2010, IEEE Transactions on Education.

[26]  J. George,et al.  Understanding when bad moods foster creativity and good ones don't: the role of context and clarity of feelings. , 2002, The Journal of applied psychology.

[27]  Antonio P. Gutierrez,et al.  The role of emotion in the learning process: Comparisons between online and face-to-face learning settings , 2012, Internet High. Educ..

[28]  Shaaron Ainsworth,et al.  Emotion understanding and performance during computer-supported collaboration , 2012, Comput. Hum. Behav..

[29]  Lisa Linnenbrink-Garcia,et al.  Students emotions and academic engagement: Introduction to the special issue , 2011 .

[30]  J. Barbalet SOCIAL EMOTIONS: CONFIDENCE, TRUST AND LOYALTY , 1996 .

[31]  Stephen M. Ritchie,et al.  Emotionally Intense Science Activities , 2015 .

[32]  Toni Kempler Rogat,et al.  Interrelation between regulatory and socioemotional processes within collaborative groups characterized by facilitative and directive other-regulation , 2015, Comput. Hum. Behav..

[33]  Sigal G. Barsade,et al.  Mood and Emotions in Small Groups and Work Teams , 2001 .

[34]  Ben Shneiderman,et al.  A model for computer frustration: the role of instrumental and dispositional factors on incident, session, and post-session frustration and mood , 2006, Comput. Hum. Behav..

[35]  Kurt Reusser,et al.  Activating Positive Affective Experiences in the Classroom: "Nice to Have" or Something More?. , 2011 .

[36]  Ryan Shaun Joazeiro de Baker,et al.  The Dynamics between Student Affect and Behavior Occurring Outside of Educational Software , 2011, ACII.

[37]  Donna L. Rigano,et al.  Students' Regulation of Their Emotions in a Science Classroom. , 2016 .

[38]  Michaela Gläser-Zikuda,et al.  An investigation of the influence of emotional factors on learning in physics instruction , 2003 .

[39]  Reinhard Pekrun,et al.  International handbook of emotions in education. , 2014 .

[40]  Karen Zschocke,et al.  Emotions in group work: insights from an appraisal-oriented perspective , 2016 .

[41]  Angela M. O'Donnell,et al.  The contribution of a virtual biology laboratory to college students’ learning , 2009 .

[42]  Zuway-R. Hong,et al.  The Role of Emotional Factors in Building Public Scientific Literacy and Engagement with Science , 2012 .

[43]  D. Treagust,et al.  An Exploration of Secondary Students’ Mental States When Learning About Acids and Bases , 2014 .

[44]  Christine Armatas,et al.  Motivational Perspectives on Students’ Responses to Learning in Virtual Learning Environments , 2006 .

[45]  Dionne I. Cross,et al.  Teacher Identities, Beliefs, and Goals Related to Emotions in the Classroom , 2007 .

[46]  D. K. Meyer,et al.  Re-conceptualizing Emotion and Motivation to Learn in Classroom Contexts , 2006 .

[47]  Arthur C. Graesser,et al.  Better to be frustrated than bored: The incidence, persistence, and impact of learners' cognitive-affective states during interactions with three different computer-based learning environments , 2010, Int. J. Hum. Comput. Stud..

[48]  John Ainley,et al.  Student engagement with science in early adolescence : the contribution of enjoyment to students' continuing interest in learning about science , 2011 .

[49]  D. Zimmaro,et al.  The Influence of Collaborative Learning on Student Attitudes and Performance in an Introductory Chemistry Laboratory , 2002 .

[50]  K. Scherer What are emotions? And how can they be measured? , 2005 .

[51]  Hanna Järvenoja,et al.  How Students Describe the Sources of Their Emotional and Motivational Experiences during the Learning Process: A Qualitative Approach , 2005 .

[52]  Michael Lewis,et al.  Shame and Pride and their Effects on Student Achievement , 2014 .

[53]  A. Graesser,et al.  Dynamics of affective states during complex learning , 2012 .

[54]  Toni Kempler Rogat,et al.  Affect and engagement during small group instruction , 2011 .

[55]  S. Volet,et al.  Trajectories of change in university students’ general views of group work following one single group assignment: significance of instructional context and multidimensional aspects of experience , 2014 .

[56]  Annika Lantz-Andersson,et al.  ICT tools in environmental education: reviewing two newcomers to schools , 2014 .

[57]  R. Pekrun,et al.  Emotions and Motivation in Learning and Performance , 2014 .

[58]  Toni Kempler Rogat,et al.  Socially Shared Regulation in Collaborative Groups: An Analysis of the Interplay Between Quality of Social Regulation and Group Processes , 2011 .

[59]  Anne C. Frenzel,et al.  The Control-Value Theory of Achievement Emotions: An Integrative Approach to Emotions in Education , 2007 .

[60]  Dirk T. Tempelaar,et al.  Feelings and performance in the first year at university: Learning-related emotions as predictors of achievement outcomes in mathematics and statistics , 2015 .

[61]  Sanna Järvelä,et al.  Regulation of emotions in socially challenging learning situations: an instrument to measure the adaptive and social nature of the regulation process , 2013 .

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

[63]  M. Vauras,et al.  Productive Disciplinary Engagement in High- and Low-Outcome Student Groups: Observations From Three Collaborative Science Learning Contexts , 2019, Research in Science Education.

[64]  Hanna Järvenoja,et al.  Socio-emotional conflict in collaborative learning—A process-oriented case study in a higher education context , 2014 .