Inquiry-Enhanced Digital Game-Based Learning: Effects on Secondary Students’ Conceptual Understanding in Science, Game Performance, and Behavioral Patterns

This quasi-experimental study investigated the effects of enhancing digital game-based science learning with the predict-observe-explain (POE) inquiry scaffolds. One hundred twenty seventh-grade students were assigned to either an experimental group or a control group. The two groups of students played the same game, but the experimental group additionally followed a POE inquiry guide in the gameplay. Students’ in-game performance and inquiry behaviors were examined along with their conceptual understanding of the physics concepts addressed in the game. The findings suggested that the group that followed the POE guide performed significantly better in both conceptual understanding and game performance. The analysis of the two groups’ inquiry behavioral data revealed different learning pathways, which shed light on how the inquiry scaffolds helped students in GBL. The article ends with practical implications for implementing game-based science learning.

[1]  T. Kuhn,et al.  The Structure of Scientific Revolutions. , 1964 .

[2]  Roger Bakeman,et al.  Observing Interaction: An Introduction to Sequential Analysis , 1986 .

[3]  D. Hestenes,et al.  Force concept inventory , 1992 .

[4]  Marlene Scardamalia,et al.  Computer Support for Knowledge-Building Communities , 1994 .

[5]  D. Treagust,et al.  A Predict-Observe-Explain Teaching Sequence for Learning about Students' Understanding of Heat and Expansion Liquids. , 1995 .

[6]  M. Chi,et al.  Assessing Students' Misclassifications of Physics Concepts: An Ontological Basis for Conceptual Change , 1995 .

[7]  T. Kuhn.  The structure of scientific revolutions, 3rd ed. , 1996 .

[8]  R. Bakeman,et al.  Observing interaction: An introduction to sequential analysis, 2nd ed. , 1997 .

[9]  E. Mazur,et al.  Peer Instruction: Ten years of experience and results , 2001 .

[10]  Richard N. Van Eck,et al.  The effect of competition and contextualized advisement on the transfer of mathematics skills a computer-based instructional simulation game , 2002 .

[11]  Douglas B. Clark,et al.  WISE design for knowledge integration , 2003 .

[12]  J. Bransford,et al.  How students learn : history, mathematics, and science in the classroom , 2005 .

[13]  Adrianus W. Lazonder,et al.  The guided discovery principle in multimedia learning. , 2005 .

[14]  David W. Shaffer,et al.  Epistemic frames for epistemic games , 2006, Comput. Educ..

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

[16]  Ton de Jong.  Technological Advances in Inquiry Learning , 2006, Science.

[17]  Michelle F. Wright,et al.  Computer Gaming and Interactive Simulations for Learning: A Meta-Analysis , 2006 .

[18]  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 .

[19]  Elena Maceviciute,et al.  Review of: Einspruch, Eric L. An introductory guide to SPSS® for Windows®. 2nd ed. Thousand Oaks, CA: Sage Publications, 2005 , 2006, Inf. Res..

[20]  Lucia Pannese,et al.  Games and learning come together to maximise effectiveness: The challenge of bridging the gap , 2007, Br. J. Educ. Technol..

[21]  Huey-Por Chang,et al.  Investigating Primary and Secondary Students’ Learning of Physics Concepts in Taiwan , 2007 .

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

[23]  M. Beeth,et al.  Analyzing the Effect of Metaconceptual Teaching Practices on Students’ Understanding of Force and Motion Concepts , 2009 .

[24]  Robert L. Goldstone,et al.  Transformational Play as a Curricular Scaffold: Using Videogames to Support Science Education , 2009 .

[25]  Fengfeng Ke,et al.  A Qualitative Meta-Analysis of Computer Games as Learning Tools , 2009 .

[26]  S. W. Kim,et al.  Effectiveness of MMORPG-based instruction in elementary English education in Korea , 2010, J. Comput. Assist. Learn..

[27]  Chung-Yuan Hsu,et al.  Facilitating Preschoolers’ Scientific Knowledge Construction via Computer Games Regarding Light and Shadow: The Effect of the Prediction-Observation-Explanation (POE) Strategy , 2011 .

[28]  Richard E. Mayer,et al.  Multimedia learning and games. , 2011 .

[29]  Traci Sitzmann.  A META-ANALYTIC EXAMINATION OF THE INSTRUCTIONAL EFFECTIVENESS OF COMPUTER-BASED SIMULATION GAMES , 2011 .

[30]  A. Ayas,et al.  Investigating the effectiveness of a POE-based teaching activity on students’ understanding of condensation , 2012 .

[31]  Michael F. Young,et al.  Our Princess Is in Another Castle , 2012 .

[32]  James M. Boyle,et al.  A systematic literature review of empirical evidence on computer games and serious games , 2012, Comput. Educ..

[33]  Herre van Oostendorp,et al.  A meta-analytic review of the role of instructional support in game-based learning , 2013, Comput. Educ..

[34]  P. Wouters,et al.  A meta-analysis of the cognitive and motivational effects of serious games , 2013 .

[35]  Nesli Kala,et al.  THE EFFECTIVENESS OF PREDICT–OBSERVE–EXPLAIN TECHNIQUE IN PROBING STUDENTS’ UNDERSTANDING ABOUT ACID–BASE CHEMISTRY: A CASE FOR THE CONCEPTS OF pH, pOH, AND STRENGTH , 2012, International Journal of Science and Mathematics Education.

[36]  Ina Blau,et al.  Scaffolding game-based learning: Impact on learning achievements, perceived learning, and game experiences , 2014, Comput. Educ..

[37]  Douglas B. Clark,et al.  Integrating self-explanation functionality into a complex game environment: Keeping gaming in motion , 2014, Comput. Educ..

[38]  Israel Kibirige,et al.  The Effect of Predict-Observe-Explain Strategy on Learners’ Misconceptions about Dissolved Salts , 2014 .

[39]  R. Mamlok‐Naaman,et al.  Understanding Electrochemistry Concepts Using the Predict-Observe-Explain Strategy. , 2015 .

[40]  J. Gobert,et al.  Cycles of Exploration, Reflection, and Consolidation in Model-Based Learning of Genetics , 2015 .

[41]  Victor Law,et al.  Scaffolding individual and collaborative game-based learning in learning performance and intrinsic motivation , 2016, Comput. Hum. Behav..

[42]  Fengfeng Ke,et al.  Designing and integrating purposeful learning in game play: a systematic review , 2015, Educational Technology Research and Development.

[43]  Xun Ge,et al.  Metaconceptually-enhanced simulation-based inquiry: effects on eighth grade students’ conceptual change and science epistemic beliefs , 2017 .

[44]  Wen Qu,et al.  Using gameplay data to examine learning behavior patterns in a serious game , 2017, Comput. Hum. Behav..

[45]  Jerry Chih-Yuan Sun,et al.  Exploring Learners' Sequential Behavioral Patterns, Flow Experience, and Learning Performance in an Anti-Phishing Educational Game , 2017, J. Educ. Technol. Soc..

[46]  Chia-Yu Wang,et al.  Supporting technology-enhanced inquiry through metacognitive and cognitive prompts: Sequential analysis of metacognitive actions in response to mixed prompts , 2017, Comput. Hum. Behav..

[47]  Ching-Huei Chen.  The impacts of peer competition-based science gameplay on conceptual knowledge, intrinsic motivation, and learning behavioral patterns , 2018, Educational Technology Research and Development.

[48]  Ching-Huei Chen,et al.  How Competition in a Game-based Science Learning Environment Influences Students' Learning Achievement, Flow Experience, and Learning Behavioral Patterns , 2018, J. Educ. Technol. Soc..