|
Andreassi, J. L. (2000). Psychophysiology: human behavior and physiological response. New Jersey,NY: Lawrence Erlbaum Associates Publishers. Baddeley, A. D. (2000). The episodic buffer: a new component of working memory? Trends in Cognitive Sciences, 4(11), 417-423. Baddeley, A. D. (2002). Is working memory still working? European Psychologist, 7(2), 85-97. Baddeley, A. D. (2003). Working memory: looking back and looking forward. [10.1038/nrn1201]. Nature Reviews Neuroscience, 4(10), 829-839. Baddeley, A. D., & Hitch, G. (1974). Working memory. The psychology of learning and motivation, 8, 47-89. Barke, H.-D. (1993). Chemical education and spatial ability. Journal of Chemical Education, 70, 968-971. Barnea, N., & Dori, Y. J. (1999). High-school chemistry students' performance and gender differences in a computerized molecular modeling learning environment. Journal of Science Education and Technology, 8(4), 257-271. doi: 10.1023/a:1009436509753 Bodner, G. M., & McMillen, T. L. B. (1986). Cognitive restructuring as an early stage in problem solving. Journal of Research in Science Teaching, 23(8), 727-737. Brook, A., Briggs, H., & Driver, R. (1984). Aspects of secondary students' understanding of the particulate nature of matter. Butler, S., & Glass, A. (1976). EEG correlates of cerebral dominance. Advances in psychobiology, 3, 219. Carter, C. S., LaRussa, M. A., & Bodner, G. M. (1987). A study of two measures of spatial ability as predictors of success in different levels of general chemistry. Journal of Research in Science Teaching, 24(7), 645-657. Concannon, Buzzetta, J. a., & Maegan. (2010). Students conceptualizing transcription and translation from a cellular perspective. Science Activities: Classroom Projects and Curriculum Ideas, 47(3), 83-88. Copolo, C., & Hounshell, P. (1995). Using three-dimensional models to teach molecular structures in high school chemistry. Journal of Science Education and Technology, 4(4), 295-305. doi: 10.1007/bf02211261 Craik, F. I. M., & Lockhart, R. S. (1972). Levels of processing: A framework for memory research. Journal of Verbal Learning and Verbal Behavior, 11(6), 671-684. doi: Doi: 10.1016/s0022-5371(72)80001-x Donchin, E., Kutas, M., & McCarthy, G. (1977). Electrocortical indices of hemispheric specialization. Lateralization in the nervous system, 339-384. Dori, Y. J., & Barak, M. (2001). Virtual and physical molecular modeling: fostering model perception and spatial understanding. Educational Technology & Society, 4(1), 61¡V74. Ealy, J. B. (1999). A student evaluation of molecular modeling in first year college chemistry. Journal of Science Education and Technology, 8(4), 309-321. doi: 10.1023/a:1009444711570 Fisher, K. M. (1985). A misconception in biology: Amino acids and translation. Journal of Research in Science Teaching, 22(1), 53-62. doi: 10.1002/tea.3660220105 Gabel, D. L., Samuel, K., & Hunn, D. (1987). Understanding the particulate nature of matter. Journal of Chemical Education, 64(8), 695. Gerě, I., & Jaušcvec, N. (1999). Multimedia: Differences in cognitive processes observed with EEG. Educational Technology Research and Development, 47(3), 5-14. doi: 10.1007/bf02299630 Gerě, I., & Jaušcvec, N. (2001). Differences in EEG power and coherence measures related to the type of presentation: Text versus Multimedia. Journal of Educational Computing Research, 25(2), 177-195. Glass, A. (1964). Mental arithmetic and blocking of the occipital alpha rhythm. Electroencephalography and Clinical Neurophysiology, 16(6), 595-603. Gutierrez, S., & Corsi-Cabrera, M. (1988). EEG activity during performance of cognitive tasks demanding verbal and/or spatial processing. International journal of neuroscience, 42(1-2), 149-155. Hays, T. (1996). Spatial abilities and the effects of computer animation on short-term and long-term comprehension. [10.2190/60Y9-BQG9-80HX-UEML]. Journal of Educational Computing Research, 14(2), 139-155. Hegarty, M., & Sims, V. (1994). Individual differences in mental animation during mechanical reasoning. Memory & Cognition, 22(4), 411-430. doi: 10.3758/bf03200867 Huk, T. (2006). Who benefits from learning with 3D models?: The case of spatial ability. Journal of Computer Assisted Learning, 22(6), 392-404. Johnson-Laird, P. N. (1983). Mental models: Cambridge Univ. Press Cambridge, UK. Juhasz, B. J., & Rayner, K. (2003). Investigating the effects of a set of intercorrelated variables on eye fixation durations in reading. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29(6), 1312-1318. doi: 10.1037/0278-7393.29.6.1312 Just, M. A., & Carpenter, P. A. (1980). A theory of reading: From eye fixations to comprehension. Psychological Review, 87(4), 329-354. Just, M. A., & Carpenter, P. A. (1984). Using eye fixations to study reading comprehension. New methods in reading comprehension research, 151-182. Keehner, M., Montello, D. R., Hegarty, M., & Cohen, C. (2004). Effects of Interactivity and spatial ability on the comprehension of spatial relations in a 3D computer visualization. Paper presented at the Proceedings of the 26th Annual Conference of the Cognitive Science Society. Kim, Y. Y., Kim, H. J., Kim, E. N., Ko, H. D., & Kim, H. T. (2005). Characteristic changes in the physiological components of cybersickness. Psychophysiology, 42(5), 616-625. Klimesch, W., Doppelmayr, M., Pachinger, T., & Ripper, B. (1997). Brain oscillations and human memory: EEG correlates in the upper alpha and theta band. Neuroscience Letters, 238(1-2), 9-12. doi: Doi: 10.1016/s0304-3940(97)00771-4 Klimesch, W., Doppelmayr, M., Schimke, H., & Ripper, B. (1997). Theta synchronization and alpha desynchronization in a memory task. Psychophysiology, 34(2), 169-176. doi: 10.1111/j.1469-8986.1997.tb02128.x Klimesch, W., Sauseng, P., & Hanslmayr, S. (2006). EEG alpha oscillations: the inhibition-timing hypothesis. Brain Research Reviews, 53(1), 63-88. Kuhman, W., Lachnit, W., & Vaitl, D. (1985). The quantification of experimental load: Methodological and empirical issues. Clinical and methodological issues in cardiovascular psychophysiology, 45-52. Lawson, A. E., Alkhoury, S., Benford, R., Clark, B. R., & Falconer, K. A. (2000). What kinds of scientific concepts exist? Concept construction and intellectual development in college biology. Journal of Research in Science Teaching, 37(9), 996-1018. Lohman, D. F. (1979). Spatial Ability: A Review and Reanalysis of the Correlational Literature: STANFORD UNIV CALIF SCHOOL OF EDUCATION. Mayer, R. E. (2001). Multimedia learning. New York: Cambridge University Press. Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38(1), 43-52. Mayer, R. E., & Sims, V. K. (1994). For whom is a picture worth a thousand words?: Extensions of a dual-coding theory of multimedia learning. Journal of Educational Psychology, 86(3), 389-401. Mills Shaw, K. R., Van Horne, K., Zhang, H., & Boughman, J. (2008). Essay contest reveals misconceptions of high school students in genetics content. Genetics, 178(3), 1157. Neuper, C., Scherer, R., Reiner, M., & Pfurtscheller, G. (2005). Imagery of motor actions: Differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. Cognitive Brain Research, 25(3), 668-677. doi: 10.1016/j.cogbrainres.2005.08.014 Nunez, P. (1995). Quantitative states of neocortex. Neocortical dynamics and human EEG rhythms, 3-67. Paivio, A. (1975). Perceptual comparisons through the mind's eye. Memory & Cognition, 3(6), 635-647. Paivio, A., & Csapo, K. (1969). Concrete image and verbal memory codes. Journal of Experimental psychology, 80(2p1), 279. Palva, S., & Palva, J. M. (2007). New vistas for α-frequency band oscillations. Trends in Neurosciences, 30(4), 150-158. Pavlinic, S., Buckley, P., Davies, J., & Wright, T. (2002). Computing in Stereochemistry - 2D or 3D representations? Research in Science Education - Past, Present, and Future 6, 295-300. Pfurtscheller, G., & Neuper, C. (1994). Event-related synchronization of mu rhythm in the EEG over the cortical hand area in man. Neuroscience Letters, 174(1), 93-96. doi: 10.1016/0304-3940(94)90127-9 Pribyl, J. R., & Bodner, G. M. (1987). Spatial ability and its role in organic chemistry: A study of four organic courses. Journal of Research in Science Teaching, 24(3), 229-240. Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124(3), 372. Rayner, K. (2001). Eye Movements in Reading. In J. S. Neil & B. B. Paul (Eds.), International Encyclopedia of the Social & Behavioral Sciences (pp. 5210-5214). Oxford: Pergamon. Rayner, K., Rotello, C. M., Stewart, A. J., Keir, J., & Duffy, S. A. (2001). Integrating text and pictorial information: Eye movements when looking at print advertisements. Journal of Experimental Psychology: Applied, 7(3), 219-226. Sankey, M. D. (2003). Multiple representations in instructional material: An issue of literacy. Paper presented at the Educause in Australia 2003 Conference, Adelaide, Australia. http://eprints.usq.edu.au/1016/ Sauseng, P., Klimesch, W., Doppelmayr, M., Pecherstorfer, T., Freunberger, R., & Hanslmayr, S. (2005). EEG Alpha synchronization and functional coupling during top-down processing in a working memory task. Human Brain Mapping, 26(2), 148-155. She, H.-C., & Chen, Y.-Z. (2009). The impact of multimedia effect on science learning: Evidence from eye movements. Computers & Education, 53(4), 1297-1307. doi: DOI: 10.1016/j.compedu.2009.06.012 Small, M. Y., & Morton, M. E. (1983). Research in college science teaching: Spatial visualization training improves performance in Organic Chemistry. Journal of College Science Teaching, 13(1), 41-43. Staver, J. R., & Jacks, T. (1988). The influence of cognitive reasoning level, cognitive restructuring ability, disembedding ability, working memory capacity, and prior knowledge on students' performance on balancing equations by inspection. Journal of Research in Science Teaching, 25(9), 763-775. Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257-285. doi: Doi: 10.1016/0364-0213(88)90023-7 Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design. Learning and Instruction, 4(4), 295-312. doi: Doi: 10.1016/0959-4752(94)90003-5 Tsaparlis, G. (1997). Atomic orbitals, molecular orbitals and related concepts: Conceptual difficulties among chemistry students. Research in Science Education, 27(2), 271-287. doi: 10.1007/bf02461321 Tuckey, H., Selvaratnam, M., & Bradley, J. (1991). Identification and rectification of student difficulties concerning three-dimensional structures, rotation, and reflection. Journal of Chemical Education, 68(6), 460-464. Urhahne, D., Nick, S., & Schanze, S. (2009). The effect of three-dimensional simulations on the understanding of chemical structures and their properties. [Article]. Research in Science Education, 39(4), 495-513. doi: 10.1007/s11165-008-9091-z van Gog, T., & Scheiter, K. (2010). Eye tracking as a tool to study and enhance multimedia learning. Learning and instruction, 20(2), 95-99. doi: DOI: 10.1016/j.learninstruc.2009.02.009 Venville, G. J., & Treagust, D. F. (1998). Exploring conceptual change in Genetics using a multidimensional interpretive framework. Journal of Research in Science Teaching, 35(9), 1031-1055. von Stein, A., Rappelsberger, P., Sarnthein, J., & Petsche, H. (1999). Synchronization between temporal and parietal cortex during multimodal object processing in man. Cerebral Cortex, 9(2), 137. Ward, L. M. (2003). Synchronous neural oscillations and cognitive processes. Trends in Cognitive Sciences, 7(12), 553-559. Weiss, S., & Rappelsberger, P. (2000). Long-range EEG synchronization during word encoding correlates with successful memory performance. Cognitive Brain Research, 9(3), 299-312. doi: Doi: 10.1016/s0926-6410(00)00011-2 Williams, R., & Morris, R. (2004). Eye movements, word familiarity, and vocabulary acquisition. Journal of Cognitive Psychology, 16(1), 312 - 339. Williamson, V. M., & Abraham, M. R. (1995). The effects of computer animation on the particulate mental models of college chemistry students. Journal of Research in Science Teaching, 32(5), 521-534. doi: 10.1002/tea.3660320508 Wu, H. K., Krajcik, J. S., & Soloway, E. (2001). Promoting conceptual understanding of chemical representations: Students' use of a visualization tool in the classroom. Journal of Research in Science Teaching, 38(7), 821-842. Yang, E.-m., Andre, T., & Greenbowe, T. J. (2003). Spatial ability and the impact of visualization/animation on learning electrochemistry. [Article]. International Journal of Science Education, 25(3), 329.
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