Do student perceptions of teaching predict the development of representational competence and biological knowledge?
Tài liệu tham khảo
Ainsworth, 2006, DeFT: a conceptual framework for considering learning with multiple representations, Learning and Instruction, 16, 183, 10.1016/j.learninstruc.2006.03.001
Ainsworth, 2011, Drawing to learn in science, Science, 333, 1096, 10.1126/science.1204153
Baumert, 2009
Baumert, 2010, Teachers' mathematical knowledge, cognitive activation in the classroom, and student progress, American Educational Research Journal, 47, 133, 10.3102/0002831209345157
Canham, 2010, Effects of knowledge and display design on comprehension of complex graphics, Learning and Instruction, 20, 155, 10.1016/j.learninstruc.2009.02.014
Clausen, 2002
De Jong, 2001, The quality of student ratings of teacher behavior, Learning Environments Research, 4, 51, 10.1023/A:1011402608575
Eilam, 2012
Fauth, 2014, Student ratings of teaching quality in primary school: dimensions and prediction of student outcomes, Learning and Instruction, 29, 1, 10.1016/j.learninstruc.2013.07.001
Fraser, 2003, Science learning environments: assessment, effects and determinants, 527
Gilbert, 2005, Visualization: a metacognitive skill in science and science education, 9
Greeno, 1997, Practicing representations: learning with and about representational forms, Phi Delta Kappan, 78, 361
Hand, 1999, A writing in science framework designed to enhance science literacy, International Journal of Science Education, 21, 1021, 10.1080/095006999290165
Hox, 2002
Hubber, 2010, Teaching and learning about force with a representational focus: pedagogy and teacher change, Research in Science Education, 40, 5, 10.1007/s11165-009-9154-9
Hu, 1999, Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives, Structural Equation Modeling: A Multidisciplinary Journal, 6, 1, 10.1080/10705519909540118
Kattmann, 2008, Texte, 357
Kohl, 2006, Effect of instructional environment on physics students’ representational skills, Physical Review Special Topics - Physics Education Research, 2, 1, 10.1103/PhysRevSTPER.2.010102
Kozma, 2003, The material features of multiple representations and their cognitive and social affordances for science understanding, Learning and Instruction, 13, 205, 10.1016/S0959-4752(02)00021-X
Kozma, 2000, The roles of representations and tools in the chemistry laboratory and their implications for chemistry learning, Journal of the Learning Sciences, 9, 105, 10.1207/s15327809jls0902_1
Kozma, 1997, Multimedia and understanding: expert and novice responses to different representations of chemical phenomena, Journal of Research in Science Teaching, 34, 949, 10.1002/(SICI)1098-2736(199711)34:9<949::AID-TEA7>3.0.CO;2-U
Kozma, 2005, Students becoming chemists: developing representational competence, 121
Krajcik, 2010, Supporting students in developing literacy in science, Science, 328, 456, 10.1126/science.1182593
Kress, 2001
Kunter, 2006, Who is the expert? Construct and criteria validity of student and teacher ratings of instruction, Learning Environments Research, 9, 231, 10.1007/s10984-006-9015-7
Kunter, 2007, Effective classroom management and the development of subject-related interest, Learning and Instruction, 17, 494, 10.1016/j.learninstruc.2007.09.002
Lemke, 1990
Lemke, 2004, The literacies of science, 33, 10.1598/0872075192.2
Lipowsky, 2009, Quality of geometry instruction and its short-term impact on students' understanding of the Pythagorean Theorem, Learning and Instruction, 19, 527, 10.1016/j.learninstruc.2008.11.001
Lowe, 2011, Aligning affordances of graphics with learning task requirements, Applied Cognitive Psychology, 25, 452, 10.1002/acp.1712
Lüdtke, 2009, Assessing the impact of learning environments: how to use student ratings of classroom or school characteristics in multilevel modeling, Contemporary Educational Psychology, 34, 120, 10.1016/j.cedpsych.2008.12.001
Lüdtke, 2006, Reliability and agreement of student ratings of the classroom environment: a reanalysis of TIMSS data, Learning Environments Research, 9, 215, 10.1007/s10984-006-9014-8
Merzyn, 1996, A comparison of some linguistic variables in fifteen science texts, 361
Mortimer, 2000, Analysing discourse in the science classroom, 127
Nitz, 2012, Die Verwendung von Fachsprache im Biologieunterricht: Entwicklung eines Erhebungsinstruments, Zeitschrift für Didaktik der Naturwissenschaften, 18, 117
Nitz, S., Prechtl, H., and Nerdel, C. (in press). Survey of classroom use of representations: development, field test and multilevel analysis. Learning Environments Research.
Norris, 2003, How literacy in its fundamental sense is central to scientific literacy, Science Education, 87, 224, 10.1002/sce.10066
Prain, 2006, An exploratory study of teachers' and students' use of multi-modal representations of concepts in primary science, International Journal of Science Education, 28, 1843, 10.1080/09500690600718294
Schnotz, 2001, Sign systems, technologies, and the acquisition of knowledge, 9
Schroeder, 2011, Teachers’ beliefs, instructional behaviors, and students’ engagement in learning from texts with instructional pictures, Learning and Instruction, 21, 403, 10.1016/j.learninstruc.2010.06.001
Scott, 1998, Teacher talk and meaning making in science classrooms: a Vygotskian analysis and review, Studies in Science Education, 32, 45, 10.1080/03057269808560127
Seidel, 2007, Teaching effectiveness research in the past decade: the role of theory and research design in disentangling meta-analysis results, Review of Educational Research, 77, 454, 10.3102/0034654307310317
Snijders, 1999
Stieff, 2011, Improving representational competence using molecular simulations embedded in inquiry activities, Journal of Research in Science Teaching, 48, 1137, 10.1002/tea.20438
Stieff, 2011, Identifying representational competence with multi-representational displays, Cognition and Instruction, 29, 123, 10.1080/07370008.2010.507318
Taskin, 2012, Students' understanding of chemical formulae: a review of empirical research, International Journal of Science Education, 1
Tytler, 2007, Representational issues in students learning about evaporation, Research in Science Education, 37, 313, 10.1007/s11165-006-9028-3
Van Meter, 2006, Learner-generated drawing as a strategy for learning from content area text, Contemporary Educational Psychology, 31, 142, 10.1016/j.cedpsych.2005.04.001
Van Meter, 2005, The promise and practice of learner-generated drawing: literature review and synthesis, Educational Psychology Review, 17, 285, 10.1007/s10648-005-8136-3
Wagner, 2013, Construct validity of student perceptions of instructional quality is high, but not perfect: dimensionality and generalizability of domain-independent assessments, Learning and Instruction, 28, 1, 10.1016/j.learninstruc.2013.03.003
Waldrip, 2010, Using multi-modal representations to improve learning in junior secondary science, Research in Science Education, 40, 65, 10.1007/s11165-009-9157-6
Wellington, 2001
Wu, 2012, Pedagogical affordances of multiple external representations in scientific processes, Journal of Science Education and Technology, 21, 754, 10.1007/s10956-011-9363-7
Yore, 2010, Epilogue: plotting a research agenda for multiple representations, multiple modality, and multimodal representational competency, Research in Science Education, 40, 93, 10.1007/s11165-009-9160-y
Yore, 2007, The literacy component of mathematical and scientific literacy, International Journal of Science and Mathematics Education, 5, 559, 10.1007/s10763-007-9089-4