Pedagogical Affordances of Multiple External Representations in Scientific Processes
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[1] Leticia Gallegos Cázares,et al. Partial Possible Models: An Approach To Interpret Students' Physical Representation. , 1998 .
[2] W. H. Leonard. A Comparison of Student Performance Following Instruction by Interactive Videodisc Versus Conventional Laboratory. , 1992 .
[3] P. Shah,et al. Exploring visuospatial thinking in chemistry learning , 2004 .
[4] R. Kozma,et al. The Roles of Representations and Tools in the Chemistry Laboratory and Their Implications for Chemistry Learning , 2000 .
[5] William A. Sandoval,et al. Mapping Trade-Offs in Teachers' Integration of Technology-Supported Inquiry in High School Science Classes , 2004 .
[6] Yehudit Judy Dori,et al. Computerized Molecular Modeling as a Tool To Improve Chemistry Teaching , 1996, J. Chem. Inf. Comput. Sci..
[7] Susan R. Goldman,et al. Learning in complex domains: When and why do multiple representations help? , 2003 .
[8] Lon Ferguson,et al. Technology affordances: the 'real story' in research with K-12 and undergraduate learners , 2006, Br. J. Educ. Technol..
[9] S. Ainsworth. DeFT: A Conceptual Framework for Considering Learning with Multiple Representations. , 2006 .
[10] Iris Tabak,et al. The Teacher as Partner: Exploring Participant Structures, Symmetry, and Identity Work in Scaffolding , 2004 .
[11] Wolff‐Michael Roth,et al. Inscriptions: Toward a Theory of Representing as Social Practice , 1998 .
[12] A. Paivio. Mental Representations: A Dual Coding Approach , 1986 .
[13] Tina Seufert. Supporting Coherence Formation in Learning from Multiple Representations , 2003 .
[14] Miky Ronen,et al. Simulation - a bridge between theory and reality: the case of electric circuits , 2001, J. Comput. Assist. Learn..
[15] J. Shea. National Science Education Standards , 1995 .
[16] Joseph Krajcik,et al. Inscriptional Practices in Two Inquiry-Based Classrooms: A Case Study of Seventh Graders' Use of Data Tables and Graphs. , 2006 .
[17] Rosária Justi,et al. A cause of ahistorical science teaching: Use of hybrid models , 1999 .
[18] Hsin-Kai Wu,et al. Effects of representation sequences and spatial ability on students’ scientific understandings about the mechanism of breathing , 2013 .
[19] David Klahr,et al. Cognition and Instruction : Twenty-five Years of Progress , 2013 .
[20] I. Greca,et al. Mental models, conceptual models, and modelling , 2000 .
[21] Bruce K. Britton,et al. Analogical Reasoning and Problem Solving in Science Textbooks , 1989 .
[22] Brian Hand,et al. Comparing student understanding of quantum physics when embedding multimodal representations into two different writing formats: Presentation format versus summary report format , 2006 .
[23] Barbara C. Buckley. Interactive multimedia and model-based learning in biology , 2000 .
[24] Rand J. Spiro,et al. Cognitive flexibility theory : advanced knowledge acquisition in ill-structured domains , 1988 .
[25] Deborah Loewenberg Ball,et al. Making Change: Instruction and its Improvement , 2001 .
[26] A. Chemero. An Outline of a Theory of Affordances , 2003, How Shall Affordances be Refined? Four Perspectives.
[27] Joseph Krajcik,et al. The impact of designing and evaluating molecular animations on how well middle school students understand the particulate nature of matter , 2009 .
[28] Jan T. van der Veen,et al. The learning effects of computer simulations in science education , 2012, Comput. Educ..
[29] Wolfgang Schnotz,et al. Commentary: Towards an Integrated View of Learning from Text and Visual Displays , 2002 .
[30] Robert L. Goldstone,et al. The Transfer of Scientific Principles Using Concrete and Idealized Simulations , 2005, Journal of the Learning Sciences.
[31] T. Jong,et al. Supporting students' learning with multiple representations in a dynamic simulation-based learning environment , 2006 .
[32] A. H. Johnstone,et al. The development of chemistry teaching: a changing response to changing demand , 1993 .
[33] J. Kolodner,et al. Toward implementing distributed scaffolding: Helping students learn science from design , 2005 .
[34] Philip Bell,et al. On the Theoretical Breadth of Design-Based Research in Education , 2004 .
[35] Ton de Jong,et al. The Integration of Computer Simulation and Learning Support: An Example from the Physics Domain of Collisions , 1999 .
[36] A. Renkl,et al. Instructional Aids to Support a Conceptual Understanding of Multiple Representations. , 2009 .
[37] J. J. Gibson. The theory of affordances , 1977 .
[38] Noah D. Finkelstein,et al. Strongly and Weakly Directed Approaches to Teaching Multiple Representation Use in Physics , 2007 .
[39] E. Wong,et al. Self‐generated analogies as a tool for constructing and evaluating explanations of scientific phenomena , 1993 .
[40] Albert J. Rosa,et al. The Role of the Laboratory in Undergraduate Engineering Education , 2005 .
[41] H. Schweingruber,et al. TAKING SCIENCE TO SCHOOL: LEARNING AND TEACHING SCIENCE IN GRADES K-8 , 2007 .
[42] Hans Spada,et al. The Active Integration of Information during Learning with Dynamic and Interactive Visualisations , 2004 .
[43] J. Frederiksen,et al. Inquiry, Modeling, and Metacognition: Making Science Accessible to All Students , 1998 .
[44] Michael Hammond,et al. What is an affordance and can it help us understand the use of ICT in education? , 2010, Education and Information Technologies.
[45] L. Yore,et al. Examining the literacy component of science literacy: 25 years of language arts and science research , 2003 .
[46] Richard Lowe,et al. Animation and learning: selective processing of information in dynamic graphics , 2003 .
[47] John W. Shrum,et al. The effects of microcomputer‐based laboratory exercises on the acquisition of line graph construction and interpretation skills by high school biology students , 1990 .
[48] John K. Gilbert,et al. The use of analogue models by students of chemistry at higher education level , 1991 .
[49] Douglas B. Clark,et al. Helping students revise disruptive experientially supported ideas about thermodynamics: Computer visualizations and tactile models , 2004 .
[50] Ileana María Greca,et al. The kinds of mental representations‐‐models, propositions and images‐‐used by college physics students regarding the concept of field , 1997 .
[51] Iris Tabak,et al. Synergy: A Complement to Emerging Patterns of Distributed Scaffolding , 2004, The Journal of the Learning Sciences.
[52] Chi-Yan Tsui. Teaching and Learning Genetics with Multiple Representations , 2003 .
[53] Vincent N. Lunetta,et al. The Laboratory in Science Education: Foundations for the Twenty-First Century , 2004 .
[54] Wolff‐Michael Roth,et al. Mathematization of experience in a grade 8 open-inquiry environment: An introduction to the representational practices of science , 1994 .
[55] John K. Gilbert,et al. Models in explanations, Part 1 : Horses for courses? , 1998 .
[56] Barbara Y. White,et al. Causal Model Progressions as a Foundation for Intelligent Learning Environments , 1990, Artif. Intell..
[57] John K. Gilbert,et al. Models in explanations, Part 2: Whose voice? Whose ears? , 1998 .
[58] Joseph Krajcik,et al. A protocol analysis of the influence of technology on students' actions, verbal commentary, and thought processes during the performance of acid‐base titrations , 1993 .
[59] Russell Tytler,et al. Representational Issues in Students Learning About Evaporation , 2007 .
[60] Rolf Ploetzner,et al. Students' difficulties in learning physics from dynamic and interactive visualizations , 2006 .
[61] M. Cosgrove,et al. A study of science‐in‐the‐making as students generate an analogy for electricity , 1995 .
[62] Robert B. Kozma,et al. Students Becoming Chemists: Developing Representationl Competence , 2005 .
[63] Annemarie Sullivan Palincsar,et al. The interplay of first-hand and second-hand investigations to model and support the development of scientific knowledge and reasoning , 2001 .
[64] M. Bannert,et al. Construction and interference in learning from multiple representation , 2003 .
[65] S. Puntambekar,et al. Comparing Classroom Enactments of an Inquiry Curriculum: Lessons Learned From Two Teachers , 2007 .
[66] Björn B. de Koning,et al. Facilitating Understanding of Movements in Dynamic Visualizations: an Embodied Perspective , 2011 .
[67] R. Kozma,et al. Multimedia and understanding: Expert and novice responses to different representations of chemical phenomena , 1997 .
[68] Hans Spada,et al. Learning to Relate Qualitative and Quantitative Problem Representations in a Model-Based Setting for Collaborative Problem Solving , 1999 .
[69] Vesna Ferk,et al. Students' understanding of molecular structure representations , 2003 .
[70] Jay L. Lemke,et al. The literacies of science , 2004 .
[71] Pamela Joy Mulhall,et al. What is the purpose of this experiment? Or can students learn something from doing experiments? , 2000 .
[72] Allan G. Harrison,et al. Learning about atoms, molecules, and chemical bonds: A case study of multiple-model use in grade 11 chemistry , 2000 .
[73] Kim Pittman,et al. Student-generated analogies: Another way of knowing? , 1999 .
[74] Joseph Krajcik,et al. Exploring middle school students' use of inscriptions in project-based science classrooms , 2006 .
[75] Wolff-Michael Roth,et al. Graphing: Cognitive ability or practice? , 1997 .
[76] Wolff-Michael Roth,et al. Interpretations of graphs by university biology students and practicing scientists: Toward a social practice view of scientific representation practices , 1999 .
[77] Hsin-Kai Wu,et al. Ninth-Grade Student Engagement in Teacher-Centered and Student-Centered Technology-Enhanced Learning Environments. , 2007 .
[78] Marida Ergazaki,et al. High‐school students’ reasoning while constructing plant growth models in a computer‐supported educational environment , 2005 .
[79] Brian J. Reiser,et al. Complementary roles of software-based scaffolding and teacher-student interactions in inquiry learning , 1997, CSCL.
[80] John J. Clement,et al. Model based learning and instruction in science , 2008 .
[81] N. Sanjay Rebello,et al. Quantum mechanics for everyone: Hands-on activities integrated with technology , 2002 .
[82] Richard Lowe,et al. Interrogation of a dynamic visualization during learning , 2004 .
[83] Barbara Y. White,et al. Alternative Approaches to Using Modeling and Simulation Tools for Teaching Science , 1999 .
[84] R. Duit. On the role of analogies and metaphors in learning science. , 1991 .
[85] Michael R. Abraham,et al. The effects of computer animation on the particulate mental models of college chemistry students , 1995 .
[86] Joseph Krajcik,et al. Enacting Reform-Based Science Materials: The Range of Teacher Enactments in Reform Classrooms , 2005 .
[87] Jennifer A. Fredricks,et al. Inquiry in Project-Based Science Classrooms: Initial Attempts by Middle School Students , 1998 .
[88] Z. Dagher. Analysis of analogies used by science teachers , 1995 .
[89] Shaaron Ainsworth,et al. The functions of multiple representations , 1999, Comput. Educ..
[90] Noah S. Podolefsky,et al. When learning about the real world is better done virtually: A study of substituting computer simulations for laboratory equipment , 2005 .
[91] Helen R. Quinn,et al. A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas , 2013 .
[92] Thomas Andre,et al. Using a computer simulation before dissection to help students learn anatomy , 2000 .
[93] R. Pintó,et al. Scientific Processes in PISA Tests Observed for Science Teachers , 2009 .
[94] Joseph Krajcik,et al. Influence of levels of information as presented by different technologies on students' understanding of acid, base, and ph concepts , 1994 .
[95] David F. Treagust,et al. A typology of school science models , 2000 .
[96] William J. McKinney. The Educational Use of Computer Based Science Simulations: Some Lessons from the Philosophy of Science , 1997 .
[97] Shawn M. Glynn,et al. Learning from analogy‐enhanced science text , 1998 .
[98] Barbara Y. White,et al. Dynamic mental models in learning science : The importance of constructing derivational linkages among models , 1999 .
[99] B. White. ThinkerTools: Causal Models, Conceptual Change, and Science Education , 1993 .
[100] Xueli Zou,et al. Multiple representations of work-energy processes , 2001 .
[101] R. Moreno,et al. Do Multiple Representations Need Explanations? The Role of Verbal Guidance and Individual Differences in Multimedia Mathematics Learning , 2004 .
[102] Gail Chittleborough,et al. The role of submicroscopic and symbolic representations in chemical explanations , 2003 .
[103] John K. Gilbert,et al. Visualization in science education , 2005 .
[104] Vimla L. Patel,et al. The explanatory role of spontaneously generated analogies in reasoning about physiological concepts , 1996 .
[105] Jeannett Martin,et al. Reading Science: Critical and Functional Perspectives on Discourses of Science , 1998 .
[106] Z. Zacharia,et al. The effects of an interactive computer-based simulation prior to performing a laboratory inquiry-based experiment on science teachers' conceptual understanding of physics , 2002 .
[107] V. Prain,et al. An Exploratory Study of Teachers’ and Students’ Use of Multi‐modal Representations of Concepts in Primary Science , 2006 .