Using Concept Maps to Facilitate Collaborative Simulation-Based Inquiry Learning

This study investigates the effect of a shared concept-mapping task on high school students' learning about kinematics in a collaborative simulation-based inquiry setting. Pairs of students were randomly assigned to a concept-mapping condition (12 pairs) or a control condition (13 pairs). Students in the concept-mapping condition had a computer-supported collaborative concept-mapping tool that aimed to integrate concepts and propositions. Students in the control condition used the same learning environment without the concept-mapping tool. Students' interactions with each other and with the simulation were tracked by log files. Learning was assessed with tests of intuitive and structural knowledge and a proposition test. Students in the concept-mapping condition exchanged significantly more chat messages related to experimentation, interpretation, and drawing conclusions and were more engaged in integration-oriented consensus building, which regression analysis showed to be positively related to learning gains for both intuitive and structural knowledge. Students in the concept-mapping condition outperformed their peers on the intuitive and structural knowledge tests. These results suggest that concept maps can positively influence consensus-building activities and learning in a collaborative inquiry-learning setting. The findings of the current study thereby contribute to the ongoing debate about (shared) graphical representations as scaffolds for collaborative learning.

[1]  Daniel D. Suthers,et al.  An Experimental Study of the Effects of Representational Guidance on Collaborative Learning Processes , 2003 .

[2]  J. Roschelle.  Learning by Collaborating: Convergent Conceptual Change , 1992 .

[3]  Elizabeth A. Davis,et al.  Scaffolding students' knowledge integration: prompts for reflection in KIE , 2000 .

[4]  Herbert A. Simon,et al.  Collaborative Discovery in a Scientific Domain , 1997, Cogn. Sci..

[5]  Ton de Jong,et al.  Technological Advances in Inquiry Learning , 2006 .

[6]  W. R. van Joolingen,et al.  SimQuest: authoring educational simulations. , 2003 .

[7]  C. Hmelo‐Silver,et al.  Scaffolding and Achievement in Problem-Based and Inquiry Learning: A Response to Kirschner, Sweller, and Clark (2006) , 2007 .

[8]  Jennifer L. Chiu,et al.  Teaching and Assessing Knowledge Integration in Science , 2006, Science.

[9]  Eleni A. Kyza,et al.  Middle-School Students’ Reasoning About Alternative Hypotheses in a Scaffolded, Software-Based Inquiry Investigation , 2009 .

[10]  Ton de Jong,et al.  Sharing and Confronting Propositions in Collaborative Inquiry Learning , 2009 .

[11]  Michael J. Baker,et al.  Arguing to Learn: Confronting Cognitions in Computer-Supported Collaborative Learning Environments , 2003 .

[12]  A. Ryve.  Can collaborative concept mapping create mathematically productive discourses? , 2004 .

[13]  Heinz Mandl,et al.  Knowledge Convergence in Computer-Supported Collaborative Learning: The Role of External Representation Tools , 2005 .

[14]  Pieter Wouters,et al.  Learner Performance in Multimedia Learning Arrangements: An Analysis Across Instructional Approaches , 2009 .

[15]  M. Baker,et al.  Computer-Mediated Epistemic Dialogue: Explanation and Argumentation as Vehicles for Understanding Scientific Notions , 2002 .

[16]  Barbara Wasson,et al.  Using scenarios to design complex technology-enhanced learning environments , 2012 .

[17]  Daniel T. Hickey,et al.  A new perspective for evaluating innovative science programs , 2003 .

[18]  Lauren Cifuentes,et al.  The comparative effect of individually-constructed vs. collaboratively-constructed computer-based concept maps , 2009, Comput. Educ..

[19]  F. Fischer,et al.  Fostering collaborative knowledge construction with visualization tools , 2002 .

[20]  M. Scardamalia,et al.  Designs for Collective Cognitive Responsibility in Knowledge-Building Communities , 2009 .

[21]  Ton de Jong,et al.  Co-Lab: research and development of an online learning environment for collaborative scientific discovery learning , 2005, Comput. Hum. Behav..

[22]  Y. Lou,et al.  Small Group and Individual Learning with Technology: A Meta-Analysis , 2001 .

[23]  Gijsbert Erkens,et al.  Shared Epistemic Agency: An Empirical Study of an Emergent Construct , 2010 .

[24]  Janine Swaak,et al.  Self-directed learning in simulation-based discovery environments , 1998, J. Comput. Assist. Learn..

[25]  C A Nelson,et al.  Learning to Learn , 2017, Encyclopedia of Machine Learning and Data Mining.

[26]  Y. Lou,et al.  Understanding Process and Affective Factors in Small Group versus Individual Learning with Technology , 2004 .

[27]  Xiaodong Lin,et al.  Supporting Learning of Variable Control in a Computer-Based Biology Environment: Effects of Prompting College Students to Reflect on Their Own Thinking , 1999 .

[28]  D. Jonassen,et al.  Concept mapping as cognitive learning and assessment tools , 1997 .

[29]  P. Shawn Irvin,et al.  Student learning in science simulations: Design features that promote learning gains† , 2011 .

[30]  Ton de Jong,et al.  Learner vs. System Control in Using Online Support for Simulation-based Discovery Learning , 2001 .

[31]  Ton de Jong,et al.  Supporting hypothesis generation by learners exploring an interactive computer simulation , 1991 .

[32]  F. Fischer,et al.  Knowledge convergence in collaborative learning: Concepts and assessment , 2007 .

[33]  Jerry Andriessen,et al.  Representational Tools in Computer-Supported Collaborative Argumentation-Based Learning: How Dyads Work With Constructed and Inspected Argumentative Diagrams , 2007 .

[34]  Stephanie D. Teasley.  Talking about reasoning : How important is the peer in peer collaboration? , 1997 .

[35]  Ton de Jong.  Computer simulations. Technological advances in inquiry learning. , 2006, Science.

[36]  Rex A. Thomas,et al.  Simulations: An Opportunity We Are Missing. , 1991 .

[37]  David H. Jonassen,et al.  Structural Knowledge: Techniques for Representing, Conveying, and Acquiring Structural Knowledge , 1993 .

[38]  F. Fischer,et al.  A framework to analyze argumentative knowledge construction in computer-supported collaborative learning , 2006, Comput. Educ..

[39]  Jianwei Zhang,et al.  Triple scheme of learning support design for scientific discovery learning based on computer simulation: experimental research , 2004, J. Comput. Assist. Learn..

[40]  C. Boxtel,et al.  Collaborative learning tasks and the elaboration of conceptual knowledge. , 2000 .

[41]  Url PubMed.  Retrieval Practice Produces More Learning than Elaborative Studying with Concept Mapping , 2012 .

[42]  T. Jong,et al.  Exploratory learning with a computer simulation for control theory: learning processes and instructional support , 1993 .

[43]  Wolff‐Michael Roth,et al.  The development of science process skills in authentic contexts , 1993 .

[44]  Daniel D. Suthers,et al.  Technology affordances for intersubjective meaning making: A research agenda for CSCL , 2006, Int. J. Comput. Support. Collab. Learn..

[45]  Ulrike Cress,et al.  Fostering collaborative knowledge construction in a video-based learning setting: effects of a shared workspace and a content-specific graphical representation , 2007, Br. J. Educ. Technol..

[46]  Stephanie D. Teasley.  The role of talk in children's peer collaborations. , 1995 .

[47]  George Spanoudis,et al.  Sixth Graders’ Co-construction of Explanations of a Disturbance in an Ecosystem: Exploring relationships between grouping, reflective scaffolding, and evidence-based explanations , 2011 .

[48]  Ian Kinchin,et al.  Using concept maps to optimize the composition of collaborative student groups: a pilot study. , 2005, Journal of advanced nursing.

[49]  Marcia C. Linn,et al.  Using drawings to support learning from dynamic visualizations , 2008, ICLS.

[50]  John B. Black,et al.  The Development of Cognitive Skills To Support Inquiry Learning , 2000 .

[51]  R. Mayer.  Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. , 2004, The American psychologist.

[52]  T. Jong,et al.  The Relation between Prior Knowledge and Students' Collaborative Discovery Learning Processes. , 2005 .

[53]  David H. Jonassen,et al.  Acquiring Structural Knowledge from Semantically Structured Hypertext. , 1992 .

[54]  G. Erkens,et al.  Collaborative Concept Mapping: Provoking and Supporting Meaningful Discourse , 2002 .

[55]  D. Suthers,et al.  Belvedere: Engaging students in critical discussion of science and public policy issues. , 1995 .

[56]  Roy D. Pea,et al.  Addressing the Challenges of Inquiry-Based Learning Through Technology and Curriculum Design , 1999 .

[57]  D. Suthers.  Representational guidance for collaborative inquiry. , 2003 .

[58]  N. Webb,et al.  Short Circuits or Superconductors? Effects of Group Composition on High-Achieving Students’ Science Assessment Performance , 2002 .

[59]  Iris Tabak,et al.  BGuILE: Stragtegic and conceptual scaffolds for scientific inquiry in biology classrooms , 2001 .

[60]  T. Jong,et al.  Supporting simulation-based learning; the effects of model progression and assignments on definitional and intuitive knowledge , 1998 .

[61]  Sally Blake,et al.  Inquiry and Technology , 2012 .

[62]  Marcia C. Linn,et al.  Internet Environments for Science Education , 2004 .

[63]  Pierre Dillenbourg,et al.  Sharing Solutions: Persistence and Grounding in Multimodal Collaborative Problem Solving , 2006 .

[64]  Marcia C. Linn,et al.  The effect of computer simulations on introductory thermodynamics understanding , 1993 .

[65]  Ton de Jong,et al.  Scaffolds for computer simulation based scientific discovery learning , 2006 .

[66]  Gellof Kanselaar,et al.  Collaborative learning tasks and the elaboration of conceptual knowledge [Learning and Instruction 10 (2000) 311–330] , 2001 .

[67]  Naomi J. Aldrich,et al.  Does Discovery-Based Instruction Enhance Learning?. , 2011 .

[68]  Ton de Jong,et al.  Discovery simulations and the assessment of intuitive knowledge , 2001, J. Comput. Assist. Learn..

[69]  Friedrich W. Hesse,et al.  How digital concept maps about the collaborators’ knowledge and information influence computer-supported collaborative problem solving , 2010, Int. J. Comput. Support. Collab. Learn..

[70]  Jonathan Osborne,et al.  Learning processes and collaborative concept mapping , 1997 .

[71]  Barbara Wasson,et al.  Learning by creating and exchanging objects: The SCY experience , 2010, Br. J. Educ. Technol..

[72]  Barbara Y. White,et al.  Causal Model Progressions as a Foundation for Intelligent Learning Environments , 1990, Artif. Intell..