Student Perceptions of Cognitive Efficiency: Implications for Instruction
https://doi.org/10.4471/ijep.2013.22
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Abstract
This study used a phenomenological approach with content analysis to create a model of how students perceive cognitive efficiency (CE), which is generally described as increases in the rate, amount, or conceptual clarity of knowledge, versus cognitive costs needed to attain knowledge. Graduate education students completed a five-item open-ended survey to measure perceptions of CE and what factors they believed enhanced or inhibited CE. Analysis of results revealed that student perceptions of CE predominantly focused on malleable aspects of self-regulated and reflective cognition, aligning with many descriptions of expert teaching. Students described a diminished emphasis on knowledge acquisition and information processing, in contrast to views typically associated with CE in instructional and psychological research(Hoffman & Schraw, 2010; van Gog & Paas, 2008). Practical teaching and learning implications, including suggestions for instructional practice and future research are presented.
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Ansari, T. L., & Derakshan, N. (2011). The neural correlates of cognitive effort in anxiety: Effects on processing efficiency. Biological Psychology, 86, 337-348.
Google Scholar CrossrefArtzt, A. F., & Armour-Thomas, E. (1998). Mathematics teaching as problem solving: A framework for studying teacher metacognition underlying instructional practice in mathematics. Instructional Science, 26, 5-25.
Google Scholar CrossrefAuthors (2012). Details removed for peer review.
Google Scholar CrossrefAuthors (2010). Details removed for peer review.
Google Scholar CrossrefAuthors (2009). Details removed for peer review.
Google Scholar CrossrefAuthors (2008). Details removed for peer review.
Google Scholar CrossrefAyres, P., & van Gog, T. (2009). State of the art research into Cognitive Load Theory. Computers in Human Behavior, 25(2), 253-257.
Google Scholar CrossrefBannert, M., & Mengelkamp, C. (2008). Assessment of metacognitive skills by means of instruction to think aloud and reflect when prompted. Does the verbalization method affect learning? Metacognition and Learning, 3, 39-58.
Google Scholar CrossrefBassett, D., BulImore, E., Meyer-Lindenberg, A., Apud, J., Weinberger, D., & Coppola, R. (2009). Cognitive fitness of cost-efficient brain functional networks. Proceedings of the National Academy of Sciences of the United States of America, 106(28), 11747-11752.
Google Scholar CrossrefBailey, B. P., & Konstan, J. A. (2006). On the need for attention-aware systems: Measuring effects of interruption on task performance, error rate, and affective state. Computers in Human Behavior, 22(4), 685-708.
Google Scholar CrossrefBeckmann, J. F. (2010). Taming a beast of burden – On some issues with the conceptualization and operationalisation of cognitive load. Learning and Instruction, 20, 250–264.
Google Scholar CrossrefBereiter, C., & Scardamlia, M. (1989). Intentional learning as a goal of instruction. In L. B. Resnick (Ed.), Knowing, learning, and instruction: Essays in honor of Robert Glaser (pp. 361-392). Hillsdale, NJ: Lawrence Erlbaum Associates.
Google Scholar CrossrefBereiter, C., & Scardamalia, M. (1993). Surpassing ourselves: An inquiry into the nature and implications of expertise. Chicago: Open Court.
Google Scholar CrossrefBerliner, D. C., (2001). Learning about and learning from expert teachers. International Journal of Educational Research, 35, 463-482.
Google Scholar CrossrefBjorklund, D., & Schneider, W. (1996). The interaction of knowledge, aptitude, and strategies in children’s memory performance. Advances in Child Development and Behavior, 26, 59-89.
Google Scholar CrossrefBransford, J., Derry, S., Berliner, D., & Hammerness, K. with Beckett, K.L. (2005). Theories of learning and their roles in teaching. In L. Darling-Hammond & J. Bransford (Eds.), Preparing teachers for a changing world: What teachers should learn and be able to do (pp. 40-87). San Francisco: Jossey-Bass.
Google Scholar CrossrefCalvo, M. G., Eysenck, M., Ramos, P. M., & Jimenez, A. (1994). Compensatory reading strategies in test anxiety. Anxiety, Stress, and Coping, 7, 99-116.
Google Scholar CrossrefCates, G. L., Burns, M. K., & Joseph, L. M. (2010). Introduction to the special issue: Instructional efficiency and the impact on learning and data-based decision making. Psychology in the Schools, 47(2), 111-113. doi: 10.1002/pits.20456
Google Scholar CrossrefChinn, C. A., & Brewer, W. F. (1993). The role of anomalous data in knowledge acquisition: A theoretical framework and implications for science instruction. Review of Educational Research, 63, 1-49.
Google Scholar CrossrefCommon Core State Standards Initiative (2012). Retrieved on June 4, 2012 from http://www.corestandards.org/the-standards/mathematics/introduction/standards-for-mathematical-practice/
Google Scholar CrossrefCorbalan, G., Kester, L., & van Merriënboer, J. G. (2009). Dynamic task selection: Effects of feedback and learner control on efficiency and motivation. Learning and Instruction, 19, 455-465.
Google Scholar CrossrefCorno, L. (2008). On teaching adaptively. Educational Psychologist, 43(3), 161-173.
Google Scholar CrossrefCreswell, J. W. (2007). Qualitative inquiry & research design: Choosing among five approaches. Thousand Oaks, CA: Sage Publications.
Google Scholar CrossrefCreswell, J. W. (2008). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Upper Saddle River, NJ: Prentice Hall.
Google Scholar CrossrefCsikszentmihalyi, M. (1997). Finding flow: The psychology of engagement with everyday life. New York: Basic Books.
Google Scholar CrossrefDixon, J. K., Larson, M., Leiva, M., & Adams, T. L. (2012). GO MATH! (Grade 4 Student and Teachers’ Editions for the Common Core State Standards for Mathematics). Orlando, FL: Houghton Mifflin Harcourt Publishing Company.
Google Scholar CrossrefD'Mello, S., & Graesser, A. (2011). The half-life of cognitive-affective states during complex learning. Cognition & Emotion, 25(7), 1299-1308.
Google Scholar CrossrefDoppelmayr, M., Klimesch, W., Hödlmoser, K., Sauseng, P., & Gruber, W. (2005). Intelligence related upper alpha desynchronization in a semantic memory task. Brain Research Bulletin, 66, 171-177.
Google Scholar CrossrefDweck, C., (1986). Motivational processes affecting learning. American Psychologist, 41(10), 1040-1048.
Google Scholar CrossrefDweck, C. S., & Leggett, E. (1988). A social-cognitive approach to motivation and personality.
Google Scholar CrossrefPsychological Review, 95(2), 256–273.
Google Scholar CrossrefEfklides, A. (2011). Interactions of metacognition with motivation and affect in self-regulated learning: The MASRL model. Educational Psychologist, 46(1), 6-25. doi:10.1080/00461520.2011.538645
Google Scholar CrossrefEricsson, K. A., & Kintsch, W. (2007). Long-term working memory. Psychological Review, 102,
Google Scholar Crossref-245.
Google Scholar CrossrefEvans, J. (2008). Dual-processing accounts of reasoning, judgment, and social cognition. Annual Review of Psychology, 59(1), 255-278.
Google Scholar CrossrefFales, C., Barch, D., Burgess, G., Schaefer, A., Mennin, D., Gray, J., et al. (2008). Anxiety and cognitive efficiency: Differential modulation of transient and sustained neural activity during a working memory task. Cognitive, Affective & Behavioral Neuroscience, 8(3), 239-253. doi:10.3758/CABN.8.3.239.
Google Scholar CrossrefFenstermacher, G. D., & Richardson, V. (2000). On making determinations of quality in teaching. Paper prepared for the Board on International Comparative Studies in Education of the National Academies of Science and the National Research Council, Washington, D. C.
Google Scholar CrossrefFlutter, J. (2006). This place could help you learn: Student participation in creating better school environments. Educational Review, 58(2), 183–193.
Google Scholar CrossrefFlutter, J., & Rudduck, J. (2004). Consulting pupils: What’s in it for schools? London: Routledge-Falmer.
Google Scholar CrossrefFink, A., Grabner, R. H., Neuper, C., & Neubauer, A. C. (2005). EEG alpha band dissociation with increasing task demands. Cognitive Brain Research, 24, 252-259.
Google Scholar CrossrefFraivillig, J., Murphy, L., & Fuson, K. (1999). Advancing children’s mathematical thinking in everyday mathematics classrooms. Journal for Research in Mathematics Education, 30, 148-170.
Google Scholar CrossrefFeldon, D. F. (2007). Cognitive load and classroom teaching: The double-edged sword of automaticity. Educational Psychologist, 42(3), 123-137.
Google Scholar CrossrefGiorgi, A. (1997). The theory, practice, and evaluation of phenomenological methods as a qualitative research procedure. Journal of Phenomenological Psychology, 28, 235-281.
Google Scholar CrossrefGillen, A., Wright, A., & Spink, L. (2011). Student perceptions of a positive climate for learning: A case study. Educational Psychology in Practice, 27, 65-82.
Google Scholar CrossrefGreene, J. A., Muis, K. R., & Pieschl, S. (2010). The role of epistemic beliefs in students’ self-regulated learning with computer-based learning environments: Conceptual and methodological issues. Educational Psychologist, 45, 245-257
Google Scholar CrossrefHaier, R. J., Siegel, B., Tang, C., Abel, L., & Buchsbaum, S. (1992). Intelligence and changes in regional cerebral glucose metabolic rate following learning. Intelligence, 16, 415-442.
Google Scholar CrossrefHambrick, D., & Engle, R. (2003). The role of working memory in problem solving. In J. Davidson & R. Sternberg (Eds.), The psychology of problem solving (pp. 176-206). NY: Cambridge University Press.
Google Scholar CrossrefHambrick, D. Z., Kane, M. J., & Engle, R. W. (2005). The role of working memory in higher-level cognition: Domain specific versus domain-general perspectives. In R. Sternberg & J. E. Pretz (Eds.), Cognition and intelligence: Understanding the mechanisms of the mind (pp. 104-121). NY: Cambridge University Press.
Google Scholar CrossrefHammer, D. (1996). Misconceptions or p-prims: How may alternative perspectives of cognitive structure influence instructional perceptions and intentions? The Journal of the Learning Sciences, 5(2), 97-127.
Google Scholar CrossrefHammerness, K., Darling-Hammond, L., Bransford, J., with Berliner, D., Cochran-Smith, M., McDonald, M., & Zeichner, K. (2005). How teachers learn and develop. In L.Darling-Hammond, J., Bransford, P. LePage, K. Hammerness, and H. Duffy (Eds). Preparing Teachers for a Changing World: What teachers should learn and be able to do (pp. 358-359). San Francisco: Jossey-Bass.
Google Scholar CrossrefHattie, J (2003) ‘Teachers make a difference: What is the research evidence?’ Paper presented at the Australian Council for Educational Research Conference ‘Building Teacher Quality: What Does the Research Tell Us?’ 19-21 October 2003, Melbourne, Australia. Retrieved from https://www.det.nsw.edu.au/proflearn/docs/pdf/qt_hattie.pdf
Google Scholar CrossrefHelsdingen, A., van Gog, T., & van Merriënboer, J. (2011). The effects of practice schedule and critical thinking prompts on learning and transfer of a complex judgment task. Journal of Educational Psychology, 103(2), 383-398. doi:10.1037/a0022370
Google Scholar CrossrefJaušovec, N., & Jaušovec, K. (2003). Intelligence related differences in induced brain activity during the performance of memory tasks. Personality and Individual Differences, 36, 597-612.
Google Scholar CrossrefJaušovec, N., & Jaušovec, K. (2004). Differences in induced brain activity during the performance of learning and working-memory tasks related to intelligence. Brain and Cognition, 54, 65-74.
Google Scholar CrossrefKalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). The expertise reversal effect. Educational Psychologist, 38, 23-31.
Google Scholar CrossrefKalyuga, S. (2006). Assessment of learners organised knowledge structures in adaptive learning environments. Applied Cognitive Psychology, 20, 333-342.
Google Scholar CrossrefKalyuga, S. (2007). Expertise reversal effect and its implications for learner-tailored instruction. Educational Psychology Review, 19, 509-539.
Google Scholar CrossrefKalyuga, S., & Sweller, J. (2005). Rapid dynamic assessment of expertise to improve the efficiency of adaptive e-learning. Educational Technology Research and Development, 53(3), 83-93.
Google Scholar CrossrefKaroly, P. (1993). Mechanisms of self-regulation: A systems view. Annual Review of Psychology, 44, 23-52.
Google Scholar CrossrefKirschner, F., Paas, F., & Kirschner, P. (2009). Individual and group-based learning from complex cognitive tasks: Effects on retention and transfer efficiency. Computers in Human Behavior, 25(2), 306-314. doi:10.1016/j.chb.2008.12.008.
Google Scholar CrossrefKirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, and problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41, 75-86.
Google Scholar CrossrefKlimesch, W. (1999). EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis. Brain Research Reviews, 29, 169-195.
Google Scholar CrossrefKonrad, M., Helf, S., & Joseph, L. M. (2011). Evidence-based instruction is not enough: Strategies for increasing instructional efficiency. Intervention in School and Clinic, 47(2), 67-74.
Google Scholar CrossrefKreber, C., Castleden, H., Erfani, N., & Wright, T. (2007). Self-regulated learning about university teaching: An exploratory study. Teaching in Higher Education, 10(1), 75-97.
Google Scholar CrossrefLinn, M. C., & Eylon, B. (2008). Science education: Integrating views of learning and instruction. In P. A. Alexander & P. Winne (Eds.), Handbook of educational psychology (2nd ed., pp. 511-544). Mahwah, NJ: Lawrence Erlbaum.
Google Scholar CrossrefLópez, O. S. (2007). Classroom diversification: A strategic view of educational productivity. Review of Educational Research, 77, 28–80.
Google Scholar CrossrefMason, L. (2007). Introduction: Bridging the cognitive and sociocultural approaches in research on conceptual change: Is it feasible? Educational Psychologist, 42(1), 1-7.
Google Scholar CrossrefMayer, R. E. (2001). Multi-media learning. NY: Cambridge University Press.
Google Scholar CrossrefMcCaslin, M., & Good, T. L. (1996). The informal curriculum. In D. C. Berliner & R. C. Calfee (Eds.), Handbook of educational psychology (pp. 622-670). New York: Simon & Schuster Macmillan.
Google Scholar CrossrefMiles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook. 2nd ed., Sage: Thousand Oaks, CA.
Google Scholar CrossrefMussweiler, T., & Epstude, K. (2009). Relatively fast! Efficiency advantages of comparative thinking. Journal of Experimental Psychology: General, 138, 1-21.
Google Scholar CrossrefNational Board of Professional Teacher Standards (2012). Retrieved on June 4, 2012 from http://www.nbpts.org/
Google Scholar CrossrefNeubauer, A. C., & Fink, A. (2009). Intelligence and neural efficiency. Neuroscience and Biobehavioral Reviews, 33, 1004-1023.
Google Scholar CrossrefPaas, F., Tuovinen, J., Tabbers, H., & Van Gerven, P. (2003). Cognitive load measurement as a means to advance cognitive load theory. Educational Psychologist, 38(1), 63-71.
Google Scholar CrossrefPekrun, R., Elliot, A. J., & Maier, M. A. (2009). Achievement goals and achievement emotions: Testing a model of their joint relations with academic performance. Journal of Educational Psychology, 101, 115–135.
Google Scholar CrossrefPerry, N. E., Turner, J. C., & Meyer, D. K. (2006). Classrooms as contexts for motivated learning. In P. A. Alexander & P. Winne (Eds.), Handbook of educational psychology (2nd ed., pp. 327-348). Mahwah, NJ: Lawrence Erlbaum.
Google Scholar CrossrefPianta, R. C., Hamre, B., & Stuhlman, M. (2003). Relationships between teachers and children. In W. M. Reynolds & G. E. Miller (Eds.), Handbook of child psychology: Vol. 7. Educational psychology (pp. 199-234). New York: John Wiley.
Google Scholar CrossrefPintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In M. Boekaerts, P.R. Pintrich & M. Zeidner (Eds.), Handbook of self-regulation (pp. 451-501). San Diego, CA: Academic Press.
Google Scholar CrossrefPintrich, P. R., Marx, R., & Boyle, R. (1993). Beyond cold conceptual change: The role of motivational beliefs and classroom contextual factors in the process of conceptual change. Review of Educational Research, 63, 167–199.
Google Scholar CrossrefPintrich, P. R., & Zusho, A. (2002). The development of academic self-regulation: The role of cognitive and motivational factors. In A. Wigfield & J. S. Eccles (Eds.), Development of achievement motivation (pp. 249-284). San Diego, CA: Academic Press.
Google Scholar CrossrefPollack, E., Chandler, P., & Sweller, J. (2002). Assimilating complex information. Learning and Instruction, 12, 61-86.
Google Scholar CrossrefPyc, M. A., & Rawson, K. A. (2007). Examining the efficiency of schedules of distributed retrieval practice. Memory & Cognition, 35, 1917-1927.
Google Scholar CrossrefRaven, J.C., Court, J.H., & Raven, J. (1983). Manual for Raven’s progressive matrices and vocabulary scales. New York: Psychological Corporation.
Google Scholar CrossrefRay, R., & Zald, D. (2012). Anatomical insights into the interaction of emotion and cognition in the prefrontal cortex. Neuroscience and Biobehavioral Reviews, 36(1), 479-501.
Google Scholar CrossrefReif, F. (2008). Applying cognitive science to education: Thinking and learning in scientific and other complex domains. Cambridge, MA: The MIT Press.
Google Scholar CrossrefRichards, L., & Morse, J. M. (2013). Qualitative methods (3rd ed.). Thousand Oaks, CA: Sage Publications.
Google Scholar CrossrefRosch, E. (1973). On the internal structure of perceptual and semantic categories. In T. E., Moore (Ed.), Cognitive development and the acquisition of language (pp. 112-144). NY: Academic Press.
Google Scholar CrossrefRoyer, J. M., Tronsky, L. M., Chan, Y., Jackson, S. J., & Marchant III, H. (1999). Math-fact retrieval as the cognitive mechanism underlying gender differences in math test performance. Contemporary Educational Psychology, 24, 181–266.
Google Scholar CrossrefRypma, B., Berger, J. S., Prabhakaran, V., Bly, B. M., Kimberg, D. Y., et al. (2006). Neural correlates of cognitive efficiency. NeuroImage, 33, 969-979.
Google Scholar CrossrefRypma, B., & D’Espositio, M. (2000). Isolating the neural mechanisms of age-related changes in human working memory. Nature Neuroscience, 3, 509-515.
Google Scholar CrossrefScharfenberg, F., & Bogner, F. (2010). Instructional efficiency of changing cognitive load in an out-of-school laboratory. International Journal of Science Education, 32(6), 829-844.
Google Scholar CrossrefShulman, L. S. (1987). “Knowledge and teaching: Foundations of the new reform.” Harvard Educational Review Feb. 1987: 1-22.
Google Scholar CrossrefSmith, E. R., & DeCoster, J. (2000). Dual-process models in social and cognitive psychology: Conceptual integration and links to underlying memory systems. Personality and Social Psychology Review, 4(2), 108-131.
Google Scholar CrossrefStanovich K. E. (2004). The robot’s rebellion: Finding meaning in the age of Darwin. Chicago:
Google Scholar CrossrefUniversity Press.
Google Scholar CrossrefStanovich, K. (2009). What intelligence tests miss: The psychology of the rational mind. The reflective mind, the algorithmic mind, and the autonomous mind (pp. 20-44). New Haven, CT; University Press.
Google Scholar CrossrefSternberg, R. J. (1998). Metacognition, abilities, and developing expertise: What makes an expert student? Instructional Science, 25, 137-140.
Google Scholar CrossrefSternberg, R. J. & Horvath, J. A (1995). A prototype view of expert teaching. Educational Researcher, 24(6), 9-17.
Google Scholar CrossrefStilley, C., Bender, C., Dunbar-Jacob, J., Sereika, S., & Ryan, C. (2010). The impact of cognitive function on medication management: Three studies. Health Psychology, 29(1), 50-55. doi:10.1037/a0016940.
Google Scholar CrossrefSwanson, H. L., Kehler, P., & Jerman, O. (2010). Working memory, strategy knowledge, and strategy instruction in children with reading disabilities. Journal of Learning Disabilities, 43(1), 24-47.
Google Scholar CrossrefTsui, A. M. (2009). Distinctive qualities of expert teachers. Teachers and Teaching: Theory and Practice, 15(4), 421-439.
Google Scholar CrossrefUnsworth, N., & Engle, R. W. (2007). The nature of individual differences in working memory capacity: Active maintenance in primary memory and controlled search from secondary memory. Psychological Review, 114, 104-132.
Google Scholar CrossrefValli, L., & Buese, D. (2007). The changing roles of teachers in an era of high-stakes accountability. American Educational Research Journal, 44, 519-558.
Google Scholar Crossrefvan Gog, T., Kester, L., & Paas, F. (2011). Effects of concurrent monitoring on cognitive load and performance as a function of task complexity. Applied Cognitive Psychology, 25(4), 584-587.
Google Scholar Crossrefvan Gog, T., & Paas, F. (2008). Instructional efficiency: Revisiting the original construct in educational research. Educational Psychologist, 43, 16-26.
Google Scholar Crossrefvan Manen, M., (1990). Researching lived experience: Human science for an action sensitive pedagogy. London, Ontario: Althouse Press.
Google Scholar CrossrefMerriënboer, J., Kirschner, P. A., & Kester, L. (2003). Taking the load off a learner’s mind: instructional design for complex learning. Educational Psychologist, 38(1), 5-13.
Google Scholar CrossrefVerplanken, B. (2006). Beyond frequency: Habit as mental construct. British Journal of Social Psychology, 45(3), 639-656. doi:10.1348/014466605X49122.
Google Scholar CrossrefVogel-Walcutt, J., Marino Carper, T., Bowers, C., & Nicholson, D. (2010). Increasing efficiency in military learning: Theoretical considerations and practical applications. Military Psychology, 22, 311-339.
Google Scholar CrossrefWalczyk J. J., & Griffith-Ross, D. A. (2006). Time restriction and the linkage between subcomponent efficiency and algebraic inequality success. Journal of Educational Psychology, 98, 617-627.
Google Scholar CrossrefWalczyk, J. J., Wei, M., Griffith-Ross, D. A., Goubert, S. E., Cooper, A. L., & Zha, P. (2007). Development of the interplay between automatic process and cognitive resources in reading. Journal of Educational Psychology, 99, 867-887.
Google Scholar CrossrefWhelan, R. R. (2007). Neuroimaging of cognitive load in instructional multimedia. Educational Research Review, 2, 1-12.
Google Scholar CrossrefZimmerman, B. J. (1989). A social cognitive view of self-regulated academic learning. Journal of Educational Psychology, 81(3), 329–339.
Google Scholar CrossrefZimmerman, B. J. (2001). Theories of self-regulated learning and academic achievement: An overview and analysis. In B. J. Zimmerman and D. Schunk (Eds.), Self-regulated learning and academic achievement: Theoretical perspectives (pp. 1-38). Mahwah, NJ: Lawrence Erlbaum.
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