Investigating the affordances of a CAD enabled learning environment for promoting integrated STEM learning

Abstract There has been an increased emphasis on designing integrated STEM learning environments for K-12 students that facilitate seamless learning of disciplinary concepts infused with science inquiry, engineering design, mathematical reasoning, and technological skills. However, there is limited prior research investigating how to facilitate such integrated STEM learning in formal classrooms that go beyond a simple combination of the different subject areas and instead enable teaching and learning of disciplinary concepts infused with scientific inquiry, engineering design, mathematical reasoning, and 21st century technological skills. In this paper, we investigate the affordances of using an educational Computer Aided Design tool, Energy 3D, and corresponding curricular materials to support such integrated STEM learning anchored in the engineering design process. We present an exploratory case study that was conducted in a middle school in the US, where a project-based learning approach was followed and students were asked to design a low-cost energy-efficient home within a given budget using the Energy3D CAD tool. Findings indicate that students learned to engage in the design process and demonstrated practices of idea fluency and systematic experimentation; practices usually representative of informed designers. During the design process while analyzing the problem space, generating ideas, and evaluating solutions, they developed better understanding of the relationships between variables and underlying science concepts, used various mathematical analysis tools and graphical representations embedded in the available technology to inform their engineering design decisions. The learning environment using Energy3D afforded formative feedback to help students understand relationship between variables, provided converging evidences using multiple analytical tools, and enabled visual problem decomposition using suboptimal model to engage students in integrated STEM learning. This study provides a platform for future research investigating the effectiveness of educational CAD tools and curricular scaffolds designed specifically for K-12 students for supporting integrated STEM learning anchored in the design process.

[1]  L. Schauble,et al.  Students' transition from an engineering model to a science model of experimentation , 1991 .

[2]  Richard Lehrer,et al.  From Physical Models to Biomechanics: A Design-Based Modeling Approach. , 1998 .

[3]  Martina A. Rau,et al.  Connection making between multiple graphical representations: A multi-methods approach for domain-specific grounding of an intelligent tutoring system for chemistry , 2015, Comput. Educ..

[4]  Helen R. Quinn,et al.  A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas , 2013 .

[5]  Daniel L. Schwartz,et al.  Doing with Understanding: Lessons from Research on Problem- and Project-Based Learning , 1998 .

[6]  Dawne Bell,et al.  The reality of STEM education, design and technology teachers’ perceptions: a phenomenographic study , 2016 .

[7]  Robin Adams,et al.  The Informed Design Teaching and Learning Matrix , 2012 .

[8]  Michael J. Padilla,et al.  The Construction and Validation of the Test of Graphing in Science (TOGS). , 1986 .

[9]  Mark Guzdial,et al.  Software-Realized Scaffolding to Facilitate Programming for Science Learning , 1994, Interact. Learn. Environ..

[10]  V. Shute Focus on Formative Feedback , 2008 .

[11]  Léonie J. Rennie,et al.  Integrating Science, Technology, Engineering, and Mathematics: Issues, Reflections, and Ways Forward. Teaching and Learning in Science Series. , 2012 .

[12]  J. Pellegrino,et al.  Education for Life and Work: Developing Transferable Knowledge and Skills in the 21st Century , 2013 .

[13]  Sean Brophy,et al.  Advancing Engineering Education in P‐12 Classrooms , 2008 .

[14]  John Sweller,et al.  Cognitive Load During Problem Solving: Effects on Learning , 1988, Cogn. Sci..

[15]  Chuen-Tsai Sun,et al.  Associations among scaffold presentation, reward mechanisms and problem-solving behaviors in game play , 2018, Comput. Educ..

[16]  Logan Fiorella,et al.  Using transparent whiteboards to boost learning from online STEM lectures , 2018, Comput. Educ..

[17]  M. Chun,et al.  Contextual Cueing: Implicit Learning and Memory of Visual Context Guides Spatial Attention , 1998, Cognitive Psychology.

[18]  R. Yin Case Study Research: Design and Methods , 1984 .

[19]  Gaea Leinhardt,et al.  Functions, Graphs, and Graphing: Tasks, Learning, and Teaching , 1990 .

[20]  Margot A. Vigeant,et al.  Development Of A Concept Inventory In Heat Transfer , 2009 .

[21]  W. Dugger Standards for Technological Literacy. Content for the Study of Technology. , 2000 .

[22]  Matthew J. Koehler,et al.  Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge , 2006, Teachers College Record: The Voice of Scholarship in Education.

[23]  Serkan Diner,et al.  The effects of multiple-pedagogical agents on learners academic success, motivation, and cognitive load , 2017 .

[24]  Laura M. Desimone,et al.  Are We Asking the Right Questions? Using Cognitive Interviews to Improve Surveys in Education Research , 2004 .

[25]  Andra A. DiSessa Inventing Graphing: Meta­ Representational Expertise in Children , 1991 .

[26]  P. Williams STEM Education: Proceed with Caution. , 2011 .

[27]  H. Schweingruber,et al.  STEM Integration in K-12 Education: Status, Prospects, and an Agenda for Research , 2014 .

[28]  Cheng-Chieh Chang,et al.  Exploring the cognitive loads of high-school students as they learn concepts in web-based environments , 2010, Comput. Educ..

[29]  J. Gibson The Ecological Approach to Visual Perception , 1979 .

[30]  Daniel D. Suthers,et al.  Technology affordances for intersubjective learning: a thematic agenda for CSCL , 2005, CSCL.

[31]  Tamara J. Moore,et al.  STEM Road Map : A Framework for Integrated STEM Education , 2015 .

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

[33]  Shi-Jinn Horng,et al.  Applying an online game-based formative assessment in a flowchart-based intelligent tutoring system for improving problem-solving skills , 2016, Comput. Educ..

[34]  T. Moore,et al.  Is Adding the E Enough? Investigating the Impact of K-12 Engineering Standards on the Implementation of STEM Integration , 2012 .

[35]  Leslie J. Briggs,et al.  Principles of Instructional Design , 1974 .

[36]  J. Sweller,et al.  Cognitive Load Theory and Complex Learning: Recent Developments and Future Directions , 2005 .

[37]  Ram Prasad Diwakaran,et al.  An educational exercise examining the role of model attributes on the creation and alteration of CAD models , 2011, Comput. Educ..

[38]  Camilo Vieira,et al.  Students' experimentation strategies in design: Is process data enough? , 2018, Comput. Appl. Eng. Educ..

[39]  Carla C. Johnson,et al.  What Is STEM? A Discussion About Conceptions of STEM in Education and Partnerships , 2012 .

[40]  Janet L. Kolodner,et al.  Problem-Based Learning Meets Case-Based Reasoning in the Middle-School Science Classroom: Putting Learning by Design(tm) Into Practice , 2003 .

[41]  Polly Brown,et al.  CAD: Do Computers Aid the Design Process After All? , 2009 .

[42]  Christine Schnittka,et al.  Engineering Design and Conceptual Change in Science: Addressing thermal energy and heat transfer in eighth grade , 2011 .

[43]  David Radcliffe,et al.  Impact of CAD tools on creative problem solving in engineering design , 2009, Comput. Aided Des..

[44]  Daniel C. Edelson Design Research: What We Learn When We Engage in Design , 2002 .

[45]  Robin Adams,et al.  Bridging the design‐science gap with tools: Science learning and design behaviors in a simulated environment for engineering design , 2017 .

[46]  Alejandra J. Magana Modeling and Simulation in Engineering Education: A Learning Progression , 2017 .

[47]  Ann F. McKenna,et al.  Exploring Student Conceptions of Modeling and Modeling Uses in Engineering Design , 2014 .

[48]  E. Davis Prompting Middle School Science Students for Productive Reflection: Generic and Directed Prompts , 2003 .

[49]  Po-Yao Chao,et al.  An analysis of student collaborative problem solving activities mediated by collaborative simulations , 2017, Comput. Educ..

[50]  Gerald F. Smith Idea‐Generation Techniques: A Formulary of Active Ingredients , 1998 .

[51]  Bryan Lawson,et al.  How Designers Think: The Design Process Demystified , 1990 .

[52]  Ngss Lead States Next generation science standards : for states, by states , 2013 .

[53]  Rune Johan Krumsvik,et al.  Creating formative feedback spaces in large lectures , 2015, Comput. Educ..

[54]  Pamela Baxter,et al.  Qualitative Case Study Methodology: Study Design and Implementation for Novice Researchers , 2008 .

[55]  Jie Chao,et al.  Learning and teaching engineering design through modeling and simulation on a CAD platform , 2018, Comput. Appl. Eng. Educ..

[56]  Sridhar S. Condoor,et al.  Innovative Conceptual Design: Theory and Application of Parameter Analysis , 2001 .

[57]  Tamara J. Moore,et al.  Considerations for Teaching Integrated STEM Education , 2012 .

[58]  M. Hilton Exploring the Intersection of Science Education and 21st Century Skills: A Workshop Summary , 2010 .

[59]  Maryanne M. Gobble,et al.  Design Thinking , 2010, The Palgrave Encyclopedia of the Possible.

[60]  Rodger W. Bybee,et al.  The Teaching of Science: 21st-Century Perspectives , 2010 .

[61]  Senay Purzer,et al.  Assessing idea fluency through the student design process , 2015, 2015 IEEE Frontiers in Education Conference (FIE).

[62]  David Crismond,et al.  Learning and using science ideas when doing investigate‐and‐redesign tasks: A study of naive, novice, and expert designers doing constrained and scaffolded design work , 2001 .

[63]  Craig A. Berg,et al.  Assessing Students' Abilities to Construct and Interpret Line Graphs: Disparities between Multiple-Choice and Free-Response Instruments , 1994 .

[64]  Camilo Vieira,et al.  Visual learning analytics of educational data: A systematic literature review and research agenda , 2018, Comput. Educ..

[65]  Aakanksha Angra,et al.  Development of a framework for graph choice and construction. , 2016, Advances in physiology education.

[66]  Johannes Strobel,et al.  The role of authenticity in design-based learning environments: The case of engineering education , 2013, Comput. Educ..

[67]  Fengfeng Ke,et al.  Collaborative science learning in an immersive flight simulation , 2016, Comput. Educ..

[68]  A. Rubin Statistics for Evidence-Based Practice and Evaluation , 2006 .

[69]  Po-Yao Chao,et al.  Exploring students' computational practice, design and performance of problem-solving through a visual programming environment , 2016, Comput. Educ..

[70]  Jane Darke,et al.  The primary Generator and the Design Process , 1979 .

[71]  Jie Chao,et al.  Investigating Teacher’s Technological Pedagogical Content Knowledge in a CAD-enabled Learning Environment , 2017 .

[72]  Martha W. Alibali,et al.  Building Cohesion Across Representations: A Mechanism for STEM Integration , 2013 .

[73]  Philip M. Sadler,et al.  Engineering Competitions in the Middle School Classroom: Key Elements in Developing Effective Design Challenges , 2000 .

[74]  William R. Shadish,et al.  Quasi-experimental Designs , 2005 .

[75]  Alejandra J. Magana,et al.  Investigating the Impact of Using a CAD Simulation Tool on Students’ Learning of Design Thinking , 2018 .

[76]  J. Rowley Using case studies in research , 2002 .

[77]  Ruth N. Schwartz,et al.  Effects of pacing and cognitive style across dynamic and non-dynamic representations , 2011, Comput. Educ..

[78]  Prashant Doshi,et al.  Robotics to promote elementary education pre-service teachers' STEM engagement, learning, and teaching , 2015, Comput. Educ..

[79]  Xin Chen,et al.  Analyzing productive learning behaviors for students using immediate corrective feedback in a blended learning environment , 2018, Comput. Educ..

[80]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[81]  Marlit Annalena Lindner,et al.  Test-takers' eye movements: Effects of integration aids and types of graphical representations , 2017, Comput. Educ..

[82]  Hassan Tairab,et al.  How do secondary school science students interpret and construct scientific graphs? , 2004 .

[83]  Etienne Wenger,et al.  Situated Learning: Legitimate Peripheral Participation , 1991 .

[84]  L.J. Leifer,et al.  Engineering design thinking, teaching, and learning , 2005, IEEE Engineering Management Review.

[85]  H. Mandl,et al.  Inert knowledge: Analyses and remedies , 1996 .

[86]  Matthew M. Mehalik,et al.  Middle‐School Science Through Design‐Based Learning versus Scripted Inquiry: Better Overall Science Concept Learning and Equity Gap Reduction , 2008 .

[87]  Nian-Shing Chen,et al.  Effects of an integrated concept mapping and web-based problem-solving approach on students' learning achievements, perceptions and cognitive loads , 2014, Comput. Educ..

[88]  Camilo Vieira,et al.  Using Learning Analytics to Characterize Student Experimentation Strategies in the Context of Engineering Design , 2016 .