Affordances and challenges of computational tools for supporting modeling and simulation practices
暂无分享,去创建一个
Camilo Vieira | Alejandra J. Magana | Michael L. Falk | Michael J. Reese | Oluwatosin O. Alabi | Sylvain Patinet | M. Falk | Camilo Vieira | S. Patinet
[1] Benedict duBoulay,et al. Some Difficulties of Learning to Program , 1986 .
[2] W.M. McCracken,et al. Text to diagram to symbol: representational transformations in problem-solving , 2001, 31st Annual Frontiers in Education Conference. Impact on Engineering and Science Education. Conference Proceedings (Cat. No.01CH37193).
[3] Jg Mackenzie,et al. Amoco Computer Simulation in Chemical Engineering Education , 2001 .
[4] J. Sweller,et al. Cognitive Load Theory and Complex Learning: Recent Developments and Future Directions , 2005 .
[5] David H. Jonassen,et al. Facilitating Problem Solving Transfer In Physics , 2008 .
[6] Sean Brophy,et al. Instructors' Intended Learning Outcomes for Using Computational Simulations as Learning Tools , 2012 .
[7] Nataliya V. Ivankova,et al. A Decade of Innovation and Success in Virtual Learning: A World-Wide Asynchronous Graduate Program in Educational Leadership and Higher Education. , 2004 .
[8] Neeraj Buch,et al. Aligning Computing Education with engineering workforce computational needs: New curricular directions to improve computational thinking in engineering graduates , 2009, 2009 39th IEEE Frontiers in Education Conference.
[9] Sean Brophy,et al. An Exploratory Study of Engineering and Science Students' Perceptions of nanoHUB.org Simulations* , 2012 .
[10] Stephen M. Alessi,et al. Building Versus Using Simulations , 2000 .
[11] Sean Brophy,et al. The Transparency Paradox: Computational Simulations as Learning Tools for Engineering Graduate Education , 2010 .
[12] Sean Brophy,et al. Student views of engineering professors technological pedagogical content knowledge for integrating computational simulation tools in nanoscale science and engineering , 2012 .
[13] T. Jong,et al. Exploratory learning with a computer simulation for control theory: learning processes and instructional support , 1993 .
[14] James P. Barber,et al. Conscience and Critic: Peer Debriefing Strategies in Grounded Theory Research , 2009 .
[15] Ali Shakouri,et al. Computational simulations as virtual laboratories for online engineering education: A case study in the field of thermoelectricity , 2016, Comput. Appl. Eng. Educ..
[16] M. Stieff. Improving Representational Competence Using Molecular Simulations Embedded in Inquiry Activities , 2011 .
[17] Sensen Li,et al. A Framework For Using Graphical Representations As Assessments Of Engineering Thinking , 2010 .
[18] J. Gibson. The Ecological Approach to Visual Perception , 1979 .
[19] Pamela Jordan. Basics of qualitative research: Grounded theory procedures and techniques , 1994 .
[20] Peggy Noel Van Meter,et al. AC 2007-1617: EFFECTS OF CONCEPTUAL UNDERSTANDING, MATH AND VISUALIZATION SKILLS ON PROBLEM-SOLVING IN STATICS , 2007 .
[21] Chenglie Hu. Integrating Modern Research into Numerical Computation Education , 2007, Computing in Science & Engineering.
[22] Daniel L. Schwartz,et al. Chapter 3: Rethinking Transfer: A Simple Proposal With Multiple Implications , 1999 .
[23] Robert B. Kozma,et al. Th e Use of Multiple Representations and the Social Construction of Understanding in Chemistry , 2012 .
[24] SimonBeth,et al. A multi-national study of reading and tracing skills in novice programmers , 2004 .
[25] Zacharias C. Zacharia,et al. Modeling-based learning in science education: cognitive, metacognitive, social, material and epistemological contributions , 2012 .
[26] Alejandra J. Magana,et al. Modeling and simulation practices for a computational thinking‐enabled engineering workforce , 2017, Comput. Appl. Eng. Educ..
[27] Mark Guzdial,et al. A multi-national, multi-institutional study of assessment of programming skills of first-year CS students , 2001, ITiCSE-WGR '01.
[28] Ton de Jong,et al. Issues in computer supported inquiry learning in science , 2007, J. Comput. Assist. Learn..
[29] J. Carson. Introduction to modeling and simulation , 2005, Proceedings of the Winter Simulation Conference, 2005..
[30] Wolff-Michael Roth. Toward an Anthropology of Graphing: Semiotic and Activity-Theoretic Perspectives , 2003 .
[31] Lorenzo Magnani,et al. Model-Based Reasoning in Scientific Discovery , 1999, Springer US.
[32] Ann C.H. Kindfield,et al. Biology Diagrams: Tools to Think With , 1994 .
[33] Mordechai Shacham. An introductory course of modeling and computation for chemical engineers , 2005, Comput. Appl. Eng. Educ..
[34] John R. Bourne,et al. The Effectiveness of Learning Simulations for Electronic Laboratories , 2002 .
[35] Behrooz Vahidi,et al. Teaching short circuit breaking test on high‐voltage circuit breakers to undergraduate students by using MATLAB‐SIMULINK , 2013, Comput. Appl. Eng. Educ..
[36] Stephen Emmott,et al. Towards 2020 Science , 2006 .
[37] Matthew B. Miles,et al. Qualitative Data Analysis: An Expanded Sourcebook , 1994 .
[38] Ton de Jong,et al. Scientific Discovery Learning with Computer Simulations of Conceptual Domains , 1998 .
[39] Eric N. Wiebe,et al. Graphic Literacy In Elementary Science Education: Enhancing Inquiry, Engineering Problem Solving, And Reasoning Skills , 2009 .
[40] W. V. van Joolingen,et al. Scientific Discovery Learning with Computer Simulations of Conceptual Domains , 1998 .
[41] L.J. Leifer,et al. Engineering design thinking, teaching, and learning , 2005, IEEE Engineering Management Review.
[42] Sean Brophy,et al. Lectures and Simulation Laboratories to improve Learners’ Conceptual Understanding , 2013 .
[43] Charles W. Anderson,et al. Preface: Inscriptions and science learning , 1999 .
[44] A. Schoenfeld. Learning to Think Mathematically: Problem Solving, Metacognition, and Sense Making in Mathematics (Reprint) , 2009 .
[45] V. Braun,et al. Using thematic analysis in psychology , 2006 .
[46] James J. Gibson,et al. The Ecological Approach to Visual Perception: Classic Edition , 2014 .
[47] Robert B. Kozma,et al. Students Becoming Chemists: Developing Representationl Competence , 2005 .
[48] Paul J. Feltovich,et al. Representation of physics knowledge by experts and novices , 1980 .
[49] Daniel L. Schwartz,et al. Rethinking transfer: A simple proposal with multiple implica-tions , 1999 .
[50] Roy D. Pea,et al. On the Cognitive Prerequisites of Learning Computer Programming. Technical Report No. 18. , 1983 .
[51] R. Kozma,et al. The Roles of Representations and Tools in the Chemistry Laboratory and Their Implications for Chemistry Learning , 2000 .
[52] Xiang-Lian Zhou,et al. Interactive computer for teaching biot poroelasticity modeling in civil engineering , 2016, Comput. Appl. Eng. Educ..
[53] Roy D. Pea,et al. On the Cognitive Effects of Learning Computer Programming: A Critical Look. Technical Report No. 9. , 1987 .
[54] Albert J. Rosa,et al. The Role of the Laboratory in Undergraduate Engineering Education , 2005 .
[55] Elliot Soloway,et al. Studying the Novice Programmer , 1988 .
[56] John J. Clement,et al. The Role of Dissonance in Conceptual Change , 1998 .
[57] P. V. Meter,et al. The Promise and Practice of Learner-Generated Drawing: Literature Review and Synthesis , 2005 .
[58] Nancy J. Nersessian,et al. Turning Experiments into Objects: The Cognitive Processes Involved in the Design of a Lab‐on‐a‐Chip Device , 2013 .
[59] T. J. Watson. The Role of the Laboratory in Undergraduate Engineering Education , 2005 .
[60] John W. Creswell,et al. Using Mixed-Methods Sequential Explanatory Design: From Theory to Practice , 2006 .
[61] K. Eisenhardt. Building theories from case study research , 1989, STUDI ORGANIZZATIVI.
[62] Yongyan Li,et al. Case study research in education , 2010 .
[63] John Sweller,et al. Cognitive Load Theory: Instructional Implications of the Interaction between Information Structures and Cognitive Architecture , 2004 .
[64] Tim O'Shea,et al. The black box inside the glass box: presenting computing concepts to novices , 1999, Int. J. Hum. Comput. Stud..
[65] Mauricio Suárez,et al. Model-Based Reasoning in Scientific Discovery , 1999 .
[66] Duncan M. Fraser,et al. Enhancing the Learning of Fluid Mechanics Using Computer Simulations , 2007 .
[67] Michelene T. H. Chi,et al. Theoretical Perspectives, Methodological Approaches, and Trends in the Study of Expertise , 2011 .
[68] Nancy J. Nersessian,et al. Model-Based Reasoning in Conceptual Change , 1999 .
[69] M. Metzger,et al. Process control kits: a hardware and software resource , 2005 .
[70] John Sweller,et al. Cognitive Load During Problem Solving: Effects on Learning , 1988, Cogn. Sci..
[71] Wallace Feurzeig,et al. Modeling and Simulation in Science and Mathematics Education , 1999, Modeling Dynamic Systems.
[72] Robert McCartney,et al. A multi-national study of reading and tracing skills in novice programmers , 2004, ITiCSE-WGR '04.
[73] B. Berg. Qualitative Research Methods for the Social Sciences , 1989 .
[74] Michelle Cook. Visual representations in science education: The influence of prior knowledge and cognitive load theory on instructional design principles , 2006 .
[75] Sharan B. Merriam,et al. Case Study Research in Education : A Qualitative Approach , 1991 .
[76] Richard Lesh,et al. Model-Eliciting Activities (MEAs) as a Bridge Between Engineering Education Research and Mathematics Education Research , 2008 .
[77] Ann L. Brown,et al. How people learn: Brain, mind, experience, and school. , 1999 .
[78] Wolff-Michael Roth,et al. Digitizing Lizards , 1999 .