Effects of Variation and Prior Knowledge on Abstract Concept Learning
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[1] Jian-peng Guo,et al. Learning a mathematical concept from comparing examples: the importance of variation and prior knowledge , 2011 .
[2] L. Mo,et al. Schema induction in problem solving: a multidimensional analysis. , 2004, Journal of experimental psychology. Learning, memory, and cognition.
[3] R. Sternberg. Advances in the psychology of human intelligence , 1982 .
[4] Miriam Bassok,et al. Adding Apples and Oranges: Alignment of Semantic and Formal Knowledge , 1998, Cognitive Psychology.
[5] Slava Kalyuga,et al. The Expertise Reversal Effect , 2003 .
[6] J. F. Wagner,et al. Transfer in Pieces , 2006 .
[7] D. Gentner,et al. Relational language and the development of relational mapping , 2005, Cognitive Psychology.
[8] Vincent Aleven,et al. Blocked versus Interleaved Practice with Multiple Representations in an Intelligent Tutoring System for Fractions , 2010, Intelligent Tutoring Systems.
[9] Richard Catrambone,et al. The role of perceptually represented structure in analogical problem solving , 2006, Memory & cognition.
[10] Robert L. Goldstone,et al. Contextualization in Perspective , 2009 .
[11] K. Holyoak,et al. Schema induction and analogical transfer , 1983, Cognitive Psychology.
[12] Matthew W. Lewis,et al. Self-Explonations: How Students Study and Use Examples in Learning to Solve Problems , 1989, Cogn. Sci..
[13] John Woodward. Improving mathematical problem solving in grades 4 through 8: A practice guide , 2010 .
[14] Thomas T. Hills,et al. The effects of similarity and individual differences on comparison and transfer , 2010 .
[15] F. Paas,et al. Variability of Worked Examples and Transfer of Geometrical Problem-Solving Skills: A Cognitive-Load Approach , 1994 .
[16] R. Gómez. Variability and Detection of Invariant Structure , 2002, Psychological science.
[17] Robert L. Goldstone,et al. Inducing Mathematical Concepts from Specific Examples: The Role of Schema-Level Variation , 2012, CogSci.
[18] K. Holyoak,et al. Pragmatic versus syntactic approaches to training deductive reasoning , 1986, Cognitive Psychology.
[19] Mitchell J. Nathan,et al. A theory of algebra-word-problem comprehension and its implications for the design of learning environments. , 1992 .
[20] Sean H. K. Kang,et al. Learning Painting Styles: Spacing is Advantageous when it Promotes Discriminative Contrast , 2012 .
[21] Keith J. Holyoak,et al. Interdomain Transfer Between Isomorphic Topics in Algebra and Physics , 2004 .
[22] Jill L. Quilici,et al. Teaching students to recognize structural similarities between statistics word problems , 2002 .
[23] Daniel M. Oppenheimer. The secret life of fluency , 2008, Trends in Cognitive Sciences.
[24] M. Bassok,et al. Judging a book by its cover: Interpretative effects of content on problem-solving transfer , 1995, Memory & cognition.
[25] Dedre Gentner,et al. ABSTRACTION PROCESSES DURING CONCEPT LEARNING: A STRUCTURAL VIEW , 2006 .
[26] Robert L. Goldstone. Isolated and interrelated concepts , 1996, Memory & cognition.
[27] E. Rosch,et al. Family resemblances: Studies in the internal structure of categories , 1975, Cognitive Psychology.
[28] John R. Anderson,et al. The effects of information order and learning mode on schema abstraction , 1984, Memory & cognition.
[29] R. Bjork,et al. Self-regulated learning: beliefs, techniques, and illusions. , 2013, Annual review of psychology.
[30] K. Koedinger,et al. Exploring the Assistance Dilemma in Experiments with Cognitive Tutors , 2007 .
[31] D. Gentner,et al. Learning and Transfer: A General Role for Analogical Encoding , 2003 .
[32] Dedre Gentner,et al. Systematicity and Surface Similarity in the Development of Analogy , 1986, Cogn. Sci..
[33] Doug Rohrer,et al. The effects of interleaved practice , 2010 .
[34] E. Bjork,et al. Why interleaving enhances inductive learning: The roles of discrimination and retrieval , 2013, Memory & cognition.
[35] Kenneth D. Forbus,et al. SEQL: Category learning as progressive abstraction using structure mapping , 2000 .
[36] J. Sweller,et al. Cognitive Load Theory and Complex Learning: Recent Developments and Future Directions , 2005 .
[37] Kurt VanLehn,et al. Seeing Deep Structure From the Interactions of Surface Features , 2012 .
[38] Larry L. Jacoby,et al. The Power of Examples: Illustrative Examples Enhance Conceptual Learning of Declarative Concepts , 2015 .
[39] Laura L Namy,et al. The differing roles of comparison and contrast in children's categorization. , 2010, Journal of experimental child psychology.
[40] Dedre Gentner,et al. Bootstrapping the Mind: Analogical Processes and Symbol Systems , 2010, Cogn. Sci..
[41] Dedre Gentner,et al. Structure-Mapping: A Theoretical Framework for Analogy , 1983, Cogn. Sci..
[42] Robert L. Goldstone,et al. The Import of Knowledge Export: Connecting Findings and Theories of Transfer of Learning , 2012 .
[43] M. Gick,et al. Do contrasting examples facilitate schema acquisition and analogical transfer , 1992 .
[44] H. Mandl,et al. Learning from Worked-Out Examples: The Effects of Example Variability and Elicited Self-Explanations , 1998, Contemporary educational psychology.
[45] Allan B. I. Bernardo. Analogical Problem Construction and Transfer in Mathematical Problem Solving , 2001 .
[46] Joanne Lobato. Alternative Perspectives on the Transfer of Learning: History, Issues, and Challenges for Future Research , 2006 .
[47] Miriam Bassok,et al. Following the standard form: Effects of equation format on algebraic modeling , 2011, Memory & cognition.
[48] K. Scherer,et al. How Seductive Details Do Their Damage : A Theory of Cognitive Interest in Science Learning , 2004 .
[49] Brian H. Ross,et al. Effects of principle explanation and superficial similarity on analogical mapping in problem solving. , 1997 .
[50] B. McMurray,et al. Speaker variability augments phonological processing in early word learning. , 2009, Developmental science.
[51] Robert L. Goldstone,et al. The Importance of Being Interpreted: Grounded Words and Children’s Relational Reasoning , 2012, Front. Psychology.
[52] Vincent Aleven,et al. Is it better to give than to receive? The assistance dilemma as a fundamental unsolved problem in the cognitive science of learning and instruction , 2008 .
[53] Dedre Gentner,et al. The role of comparison in preschoolers' novel object categorization. , 2010, Journal of experimental child psychology.
[54] Elsa Eiriksdottir,et al. Procedural Instructions, Principles, and Examples , 2011, Hum. Factors.
[55] R. Shepard,et al. Toward a universal law of generalization for psychological science. , 1987, Science.
[56] J. LeFevre,et al. Do Written Instructions Need Examples , 1986 .
[57] Vladimir M Sloutsky,et al. The Advantage of Abstract Examples in Learning Math , 2008, Science.
[58] Kenneth R. Koedinger,et al. Learning Spurious Correlations instead of Deeper Relations , 2003 .
[59] John R Anderson,et al. Using a model to compute the optimal schedule of practice. , 2008, Journal of experimental psychology. Applied.
[60] Anderson,et al. LEVv The Effects of Category Generalizations and Instance Similarity on Schema Abstraction , 2022 .
[61] Daniel L. Schwartz,et al. A time for telling , 1998 .
[62] Robert L. Goldstone,et al. Concreteness Fading in Mathematics and Science Instruction: a Systematic Review , 2014 .
[63] Daniel L. Schwartz,et al. Resisting Overzealous Transfer: Coordinating Previously Successful Routines With Needs for New Learning , 2012 .
[64] K. Holyoak,et al. Mathematical problem solving by analogy. , 1991, Journal of experimental psychology. Learning, memory, and cognition.
[65] M. Posner,et al. On the genesis of abstract ideas. , 1968, Journal of experimental psychology.
[66] Nick Chater,et al. Variability is the spice of learning, and a crucial ingredient for detecting and generalizing in nonadjacent dependencies , 2004 .
[67] D. Medin,et al. The specific character of abstract thought: Categorization, problem-solving, and induction: Volume 5 , 1989 .
[68] Miriam Bassok,et al. Effects of semantic cues on mathematical modeling: Evidence from word-problem solving and equation construction tasks , 2005, Memory & cognition.
[69] B. Ross. This is like that: The use of earlier problems and the separation of similarity effects. , 1987 .
[70] Hermann G. Ebner,et al. Improving cross-content transfer in text processing by means of active graphical representation , 2003 .
[71] J. Mestre. Transfer of learning from a modern multidisciplinary perspective , 2005 .
[72] B. Ross. Remindings and their effects in learning a cognitive skill , 1984, Cognitive Psychology.
[73] Robert L. Goldstone,et al. The Transfer of Scientific Principles Using Concrete and Idealized Simulations , 2005, Journal of the Learning Sciences.
[74] Daniel L. Schwartz,et al. Practicing versus inventing with contrasting cases: The effects of telling first on learning and transfer. , 2011 .
[75] Robert L. Goldstone,et al. Integrating Formal and Grounded Representations in Combinatorics Learning , 2013 .
[76] Katharina Scheiter,et al. The acquisition of problem-solving skills in mathematics: How animations can aid understanding of structural problem features and solution procedures , 2010 .
[77] Richard E. Mayer,et al. Principles for Managing Essential Processing in Multimedia Learning: Segmenting, Pre-training, and Modality Principles , 2005 .
[78] Jon R. Star,et al. Spurious Correlations in Mathematical Thinking , 2001 .
[79] R. Mayer,et al. Increased interestingness of extraneous details in a multimedia science presentation leads to decreased learning. , 2008, Journal of experimental psychology. Applied.
[80] Marci S. DeCaro,et al. The Effects of Feedback During Exploratory Mathematics Problem Solving: Prior Knowledge Matters , 2012 .
[81] Keith J. Holyoak,et al. "Interdomain transfer between isomorphic topics in algebra and physics": Correction to Bassok and Holyoak (1989). , 1989 .
[82] Dedre Gentner,et al. Comparison Facilitates Children's Learning of Names for Parts , 2007 .
[83] Florencia K. Anggoro,et al. Structure mapping and relational language support children's learning of relational categories. , 2011, Child development.
[84] Daniel L. Schwartz,et al. EFFICIENCY AND INNOVATION IN TRANSFER , 2005 .
[85] Vladimir M Sloutsky,et al. The cost of concreteness: the effect of nonessential information on analogical transfer. , 2013, Journal of experimental psychology. Applied.
[86] Mitchell J. Nathan. Rethinking Formalisms in Formal Education , 2012 .
[87] S. Hochstein,et al. Comparison processes in category learning: From theory to behavior , 2008, Brain Research.
[88] Alexander Renkl,et al. Finding and fixing errors in worked examples: Can this foster learning outcomes? ☆ , 2007 .
[89] Paul J. Feltovich,et al. Categorization and Representation of Physics Problems by Experts and Novices , 1981, Cogn. Sci..
[90] David W. Carraher,et al. Street mathematics and school mathematics , 1993 .
[91] B. Rittle-Johnson,et al. The Importance of Prior Knowledge When Comparing Examples: Influences on Conceptual and Procedural Knowledge of Equation Solving , 2009 .
[92] Stephen K. Reed. Constraints on the abstraction of solutions , 1989 .
[93] Larissa K. Samuelson,et al. Learn Locally, Think Globally , 2010, Psychological science.
[94] Arthur B. Markman,et al. Role-governed categories , 2001, J. Exp. Theor. Artif. Intell..
[95] Daniel L. Schwartz,et al. Inventing to Prepare for Future Learning: The Hidden Efficiency of Encouraging Original Student Production in Statistics Instruction , 2004 .
[96] K. Holyoak,et al. Overcoming contextual limitations on problem-solving transfer. , 1989 .
[97] D. Gentner,et al. Comparison and Categorization in the Development of Relational Similarity , 1996 .
[98] B. Ross. Distinguishing Types of Superficial Similarities: Different Effects on the Access and Use of Earlier Problems , 1989 .
[99] M. Malbrán. The Cambridge Handbook of Multimedia Learning , 2007 .
[100] Robert L. Goldstone,et al. When Do Words Promote Analogical Transfer? , 2010, J. Probl. Solving.
[101] A. Kooijman,et al. Using route and survey information to generate cognitive maps: differences between normally sighted and visually impaired individuals , 2009 .
[102] Jian-Peng Guo,et al. Effects of example variability and prior knowledge in how students learn to solve equations , 2014 .
[103] L. Verschaffel,et al. Abstract or concrete examples in learning mathematics? A replication and elaboration of Kaminski, Sloutsky, and Heckler’s study , 2011 .
[104] M. Bassok. Using Content to Interpret Structure: Effects on Analogical Transfer , 1996 .
[105] Jill L. Quilici,et al. Role of examples in how students learn to categorize statistics word problems. , 1996 .
[106] Colleen M. Seifert,et al. Learning “How” Versus Learning “When”: Improving Transfer of Problem-Solving Principles , 1994 .
[107] John Sweller,et al. Cognitive Load During Problem Solving: Effects on Learning , 1988, Cogn. Sci..
[108] B. Ross,et al. Content Effects in Problem Categorization and Problem Solving , 1996 .
[109] Slava Kalyuga. Expertise Reversal Effect and Its Implications for Learner-Tailored Instruction , 2007 .
[110] Daniel M. Belenky,et al. The Effects of Idealized and Grounded Materials on Learning, Transfer, and Interest: An Organizing Framework for Categorizing External Knowledge Representations , 2014 .
[111] Dedre Gentner,et al. Analogical Encoding: Facilitating Knowledge Transfer and Integration , 2004 .
[112] Liesbeth Kester,et al. Combining shared control with variability over surface features: Effects on transfer test performance and task involvement , 2009, Comput. Hum. Behav..
[113] Albert T. Corbett,et al. The Knowledge-Learning-Instruction Framework: Bridging the Science-Practice Chasm to Enhance Robust Student Learning , 2012, Cogn. Sci..