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39 - Practical Intelligence and Tacit Knowledge: An Ecological View of Expertise

from Part VII - General Issues and Theoretical Frameworks

Published online by Cambridge University Press:  10 May 2018

K. Anders Ericsson
Affiliation:
Florida State University
Robert R. Hoffman
Affiliation:
Florida Institute for Human and Machine Cognition
Aaron Kozbelt
Affiliation:
Brooklyn College, City University of New York
A. Mark Williams
Affiliation:
University of Utah
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References

Ackerman, P. L. (1988). Determinants of individual differences during skill acquisition: Cognitive abilities and information processing. Journal of Experimental Psychology: General, 117, 288318.Google Scholar
Adams, E. C., & Freeman, C. (2000). Communities of practice: Bridging technology and knowledge assessment. Journal of Knowledge Management, 4, 3842.Google Scholar
Amirault, R. J., & Branson, R. K. (2006). Educators and expertise: A brief history of theories and models. In Ericsson, K. A., Charness, N., Hoffman, R. R., & Feltovich, P. J. (eds.), The Cambridge handbook of expertise and expert performance (pp. 6986). Cambridge University Press.Google Scholar
Anderson, J. R. (1982). Acquisition of cognitive skill. Psychological Review, 89, 369406.Google Scholar
Andrade, H. G., & Perkins, D. N. (1998). Learnable intelligence and intelligent learning. In Sternberg, R. J. & Williams, W. M. (eds.), Intelligence, instruction, and assessment (pp. 6794). Mahwah, NJ: Erlbaum.Google Scholar
Antonakis, J., Cianciolo, A. T., & Sternberg, R. J. (eds.) (2004a). The nature of leadership. Thousand Oaks, CA: Sage Publications.Google Scholar
Antonakis, J., Cianciolo, A. T., & Sternberg, R. J. (2004b). Leadership: Past, present, and future. In Antonakis, J., Cianciolo, A. T., & Sternberg, R. J. (eds.), The nature of leadership (pp. 315). Thousand Oaks, CA: Sage Publications.Google Scholar
Argyris, C. (1993). Knowledge for action. San Francisco: Jossey-Bass.Google Scholar
Ark, T., Brooks, L. R., & Eva, K. W. (2006). Giving learners the best of both worlds: Do clinical teachers need to guard against teaching pattern recognition? Academic Medicine, 81, 405409.Google Scholar
Ark, T., Brooks, L. R., & Eva, K. W. (2007). The benefits of flexibility: The pedagogical value of instructions to adopt multifaceted diagnostic reasoning. Medical Education, 41, 281287.CrossRefGoogle ScholarPubMed
Armstrong, S. J., & Li, Y. (2017). A study of Anglo expatriate managers’ learning, knowledge acquisition, and adjustment in multinational companies in China. Academy of Management Learning and Education, 16, 122.Google Scholar
Armstrong, S. J., & Mahmud, A. (2008). Experiential learning and the acquisition of managerial tacit knowledge. Academy of Management Learning and Education, 7, 189208.Google Scholar
Barrows, H. S., & Tamblyn, R. M. (1980). Problem-based learning: An approach to medical education. New York: Springer.Google Scholar
Billett, S. (2006). Constituting the workplace curriculum. Journal of Curriculum Studies, 38, 3148.Google Scholar
Bobrow, D. G., & Whalen, J. (2002). Community knowledge sharing in practice: The Eureka story. Reflections: The SoL Journal, 4, 4759.CrossRefGoogle Scholar
Bransford, J., Sherwood, R., Vye, N., & Rieser, J. (1986). Teaching thinking and problem solving: Research foundations. American Psychologist, 41, 10781089.Google Scholar
Braude, H. D. (2009). Clinical intuition versus statistics: Different modes of tacit knowledge in clinical epidemiology and evidence-based medicine. Theoretical Medicine and Bioethics, 30, 181198.Google Scholar
Brehmer, B., & Joyce, C. R. B. (1988). Human judgment: The SJT view. Amsterdam: Elsevier.Google Scholar
Brown, J. S., & Duguid, P. (1991). Organizational learning and communities-of-practice: Toward a unified view of working, learning, and innovation. Organization Science, 2, 4057.Google Scholar
Butler, D. L., & Winne, P. H. (1995). Feedback and self-regulated learning: A theoretical synthesis. Review of Educational Research, 65, 245281.Google Scholar
Charlin, B., Roy, L., Brailovsky, C., Goulet, F., & van der Vleuten, C. (2000). The script concordance test: A tool to assess the reflective clinician. Teaching and Learning in Medicine, 12, 189195.Google Scholar
Chart, H., Grigorenko, E. L., & Sternberg, R. J. (2008). Identification: The Aurora Battery. In Plucker, J. A. & Callahan, C. M. (eds.), Critical issues and practices in gifted education (pp. 281301). Waco, TX: Prufrock.Google Scholar
Chi, M. T. H. (2006). Two approaches to the study of experts’ characteristics. In Ericsson, K. A., Charness, N., Hoffman, R. R., & Feltovich, P. J. (eds.), The Cambridge handbook of expertise and expert performance (pp. 2130). Cambridge University Press.Google Scholar
Chisholm, C. D., Whenmouth, L. F., Daly, E. A., Cordell, W. H., Giles, B. K., & Brizendine, E. J. (2004). An evaluation of emergency medicine resident interaction time with faculty in different teaching venues. Academic Emergency Medicine, 11, 149155.Google Scholar
Cianciolo, A. T., Antonakis, J., & Sternberg, R. J. (2004). Practical intelligence and leadership: Using experience as a “mentor.” In Day, D. V., Zaccaro, S., & Halpin, S. (eds.), Leader development for transforming organizations: Growing leaders for tomorrow (pp. 211236). Mahwah, NJ: Erlbaum.Google Scholar
Cianciolo, A. T., & Evans, K. M. (2013). Distributed communities of practice. In Lee, J. & Kirlik, A. (eds.), The Oxford handbook of cognitive engineering (pp. 610621). Oxford University Press.Google Scholar
Cianciolo, A. T., Grigorenko, E. L., Jarvin, L., Gil, G., Drebot, M., & Sternberg, R. J. (2006). Practical intelligence and tacit knowledge: Advancements in the measurement of developing expertise. Learning and Individual Differences, 16, 235253.Google Scholar
Cianciolo, A. T., & Sternberg, R. J. (2004). Intelligence: A brief history. Malden, MA: Blackwell.Google Scholar
Collins, H. (2013). Three dimensions of expertise. Phenomenology and the Cognitive Sciences, 12, 253273.Google Scholar
Colonia-Willner, R. (1998). Practical intelligence at work: Relationship between aging and cognitive efficiency among managers in a bank environment. Psychology and Aging, 13, 4557.Google Scholar
Crager, J., & Lemons, D. (2003). Consortium Learning Forum best-practice report: Measuring the impact of knowledge management. Houston, TX: American Productivity & Quality Center.Google Scholar
Dahl, T. (2000). Text summarisation: From human activity to computer program – the problem of tacit knowledge. Journal of Linguistics, 25, 113131.Google Scholar
Dai, D. Y., & Sternberg, R. J. (eds.) (2004). Motivation, emotion, and cognition: Integrative perspectives on intellectual functioning and development. Mahwah, NJ: Erlbaum.Google Scholar
Davidson, J. E., & Sternberg, R. J. (1984). The role of insight in intellectual giftedness. Gifted Child Quarterly, 28, 5864.Google Scholar
Denning, S. (2005). The leader’s guide to storytelling: Mastering the art and discipline of the business narrative. San Francisco: Jossey-Bass.Google Scholar
Dewey, J. (1933). How we think: A restatement of the relation of reflective thinking to the educative process. Boston: Heath.Google Scholar
Dixon, N. M., Allen, N., Burgess, T., Kilner, P., & Schweitzer, S. (2005). Company command: Unleashing the power of the army profession. West Point, NY: Center for the Advancement of Leader Development and Organizational Learning.Google Scholar
DuBois, D., & Shalin, V. L. (1995). Adapting cognitive methods to real-world objectives: An application to job knowledge testing. In Nichols, P. D., Chipman, S. F., & Brennan, R. L. (eds.), Cognitively diagnostic assessment (pp. 189220). Hillsdale, NJ: Erlbaum.Google Scholar
Duncan, J., Seitz, R. J., Kolodny, J., Bor, D., Herzog, H., Ahmed, A., … & Emslie, H. (2000). A neural basis for general intelligence. Science, 289, 457460.Google Scholar
Durning, S. J., Artino, A., Boulet, J., La Rochelle, J., Van Der Vleuten, C., Arze, B., & Schuwirth, L. (2012). The feasibility, reliability, and validity of a post-encounter form for evaluating clinical reasoning. Medical Teacher, 34, 3037.Google Scholar
Elton, L. (2010). Academic writing and tacit knowledge. Teaching in Higher Education, 15, 151160.Google Scholar
Engel, P. J. H. (2008). Tacit knowledge and visual expertise in medical diagnostic reasoning: Implications for medical education. Medical Teacher, 30, e184e188.Google Scholar
Ennis, R. H. (1987). A taxonomy of critical thinking dispositions and abilities. In Baron, J. B. & Sternberg, R. J. (eds.), Teaching thinking skills: Theory and practice (pp. 926). New York: W. H. Freeman.Google Scholar
Ericsson, K. A. (2015). Acquisition and maintenance of medical expertise: A perspective from the expert-performance approach with deliberate practice. Academic Medicine, 90, 14711486.Google Scholar
Feist, G. J. (2013). The nature and nurture of expertise: A fourth dimension. Phenomenology and the Cognitive Sciences, 12, 275288.CrossRefGoogle Scholar
Fitts, P., & Posner, M. I. (1967). Human performance. Belmont, CA: Brooks/Cole.Google Scholar
Gardner, H., Csikszentmihalyi, M., & Damon, W. (2002). Good work: Where excellence and ethics meet. New York: Basic Books.Google Scholar
Garner, W. R., Hake, H. W., & Eriksen, C. W. (1956). Operationism and the concept of perception. Psychological Review, 63, 149159.Google Scholar
Gherardi, S., Nicolini, D., & Odella, F. (1998). Toward a social understanding of how people learn in organizations. Management Learning, 29, 273297.Google Scholar
Gibson, E. J., & Pick, A. D. (2000). An ecological approach to perceptual learning and development. Oxford University Press.CrossRefGoogle Scholar
Gibson, J. J. (1979). The ecological approach to visual perception. Boston: Houghton-Mifflin.Google Scholar
Goldstein, W. M. (2006). Introduction to Brunswikian theory and method. In Kirlik, A. (ed.), Adaptive perspectives on human–technology interaction (pp. 1024). Oxford University Press.Google Scholar
Greeno, J. (1994). Gibson’s affordances. Psychological Review, 101, 336342.Google Scholar
Grotzer, T. A., & Perkins, D. N. (2000). Teaching intelligence. In Sternberg, R. J. (ed.), Handbook of intelligence (pp. 492515). Cambridge University Press.Google Scholar
Hammond, K. R., Hursch, C. J., & Todd, F. J. (1964). Analyzing the components of clinical inference. Psychological Review, 71, 438456.Google Scholar
Hedlund, J., Forsythe, G. B., Horvath, J. A., Williams, W. M., Snook, S., & Sternberg, R. J. (2003). Identifying and assessing tacit knowledge: Understanding the practical intelligence of military leaders. The Leadership Quarterly, 14, 117140.Google Scholar
Hedlund, J., Horvath, J. A., Forsythe, G. B., Snook, S., Williams, W. M., Bullis, R. C., … & Sternberg, R. J. (1998). Tacit knowledge in military leadership: Evidence of construct validity (Technical Report 1080). Alexandria, VA: US Army Research Institute for the Behavioral & Social Sciences.Google Scholar
Hedlund, J., Wilt, J. M., Nebel, K. R., Ashford, S. J., & Sternberg, R. J. (2006). Assessing practical intelligence in business school admissions: A supplement to the Graduate Management Admissions Test. Learning and Individual Differences, 16, 101127.Google Scholar
Henry, S. (2006). Recognizing tacit knowledge in medical epistemology. Theoretical Medicine and Bioethics, 27, 187213.Google Scholar
Heredia, A., Garcia-Guzman, J., Amescua, A., & Sanchez-Segura, M. I. (2013). Interactive knowledge asset management: Acquiring and disseminating tacit knowledge. Journal of Information Science and Engineering, 29, 133147.Google Scholar
Hill, N. M., & Schneider, W. (2006). Brain changes in the development of expertise: Neuroanatomical and neurophysiological evidence about skill-based adaptations. In Ericsson, K. A., Charness, N., Hoffman, R. R., & Feltovich, P. J. (eds.), The Cambridge handbook of expertise and expert performance (pp. 653682). Cambridge University Press.Google Scholar
Hoffman, R. R., Shadbolt, N., Burton, A. M., & Klein, G. A. (1995). Eliciting knowledge from experts: A methodological analysis. Organizational Behavior and Human Decision Processes, 62, 129158.Google Scholar
Horn, J. L., & Cattell, R. B. (1966). Refinement and test of the theory of fluid and crystallized general intelligences. Journal of Educational Psychology, 57, 253270.Google Scholar
Horn, J. L. & Masunaga, H. (2006). A merging theory of expertise and intelligence. In Ericsson, K. A., Charness, N., Hoffman, R. R., & Feltovich, P. J. (eds.), The Cambridge handbook of expertise and expert performance (pp. 587611). Cambridge University Press.Google Scholar
Hunter, J. E. (1983). A causal analysis of cognitive ability, job knowledge, job performance, and supervisor ratings. In Landy, F. J., Zedeck, S., & Cleveland, J. (eds.), Performance measurement and theory (pp. 257275). Hillsdale, NJ: Erlbaum.Google Scholar
Ilgen, J. S., Eva, K. W., & Regehr, G. (2016). What’s in a label? Is diagnosis the start or the end of clinical reasoning? Journal of General Internal Medicine, 31, 435437.Google Scholar
Insch, G. S., McIntyre, N., & Dawley, D. (2008). Tacit knowledge: A refinement and empirical test of the academic tacit knowledge scale. Journal of Psychology, 142, 561580.CrossRefGoogle ScholarPubMed
Karelitz, T. M., Jarvin, L., & Sternberg, R. J. (2010). The meaning of wisdom and its development throughout life. In Overton, W. (ed.), Handbook of lifespan human development (pp. 837881). New York: John Wiley.Google Scholar
Karmiloff-Smith, A. (1992). Beyond modularity: A developmental perspective on cognitive science. Cambridge, MA: MIT Press.Google Scholar
Kennedy, T. J. T., Regehr, G., Baker, G. R., & Lingard, L. (2008). Point-of-care assessment of medical trainee competence for independent clinical work. Academic Medicine, 83 (Suppl.), S89S92.Google Scholar
Kirlik, A. (1998). The ecological expert: Acting to create information to guide action. Proceedings of the 4th Conference on Human Interaction with Complex Systems (HICS ’98), Los Alamitos, CA.Google Scholar
Kirlik, A. (ed.) (2006). Adaptive perspectives on human–technology interaction. Oxford University Press.Google Scholar
Kirlik, A. (2013). Judgment analysis. In Lee, J. & Kirlik, A. (eds.), The Oxford handbook of cognitive engineering (pp. 476489). Oxford University Press.Google Scholar
Kirsh, D., & Maglio, P. (1994). On distinguishing epistemic from pragmatic action. Cognitive Science, 18, 513549.Google Scholar
Klamen, D. L. (2015). Getting real: Embracing the conditions of the third-year clerkship and reimagining the curriculum to enable deliberate practice. Academic Medicine, 90, 13141317.Google Scholar
Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
Kolb, D. A., & Fry, R. (1975). Towards an applied theory of experiential learning. In Cooper, C. L. (ed.), Theories of group processes (pp. 3358). New York: John Wiley.Google Scholar
Kulatunga-Moruzi, C., Brooks, L. R., & Norman, G. R. (2011). Teaching posttraining: Influencing diagnostic strategy with instructions at test. Journal of Experimental Psychology: Applied, 17, 195209.Google Scholar
Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge University Press.Google Scholar
Legree, P. J. (1995). Evidence for an oblique social intelligence factor established with a Likert-based testing procedure. Intelligence, 21, 247266.Google Scholar
Legree, P. J., Heffner, T. S., Psotka, J., Martin, D. E., & Medsker, G. J. (2003). Traffic crash involvement: Experiential driving knowledge and stressful contextual antecedents. Journal of Applied Psychology, 88, 1526.Google Scholar
Lesser, E. L., & Storck, J. (2001). Communities of practice and organizational performance. IBM Systems Journal, 40, 831841.Google Scholar
Lineberry, M., Kreiter, C. D., & Bordage, G. (2013). Threats to validity in the use and interpretation of script concordance test scores. Medical Education, 47, 11751183.Google Scholar
Lipman, M. (1993). Promoting better classroom thinking. Educational Psychology, 13, 291304.Google Scholar
Loevinger, J. (1966). Psychological tests in the conceptual framework of psychology. In Hammond, K. R. (ed.), The psychology of Egon Brunswik (pp. 107148). New York: Holt, Rinehart and Winston.Google Scholar
Matthew, C. T., & Sternberg, R. J. (2009). Developing experience-based (tacit) knowledge through reflection. Learning and Individual Differences, 19, 530540.Google Scholar
McDaniel, M. A., & Nguyen, N. T. (2001). Situational judgment tests: A review of practice and constructs assessed. International Journal of Selection and Assessment, 9, 103113.Google Scholar
McDaniel, M. A., & Whetzel, D. L. (2005). Situational judgment test research: Informing the debate on practical intelligence theory. Intelligence, 33, 515525.Google Scholar
Motowidlo, S. J., Dunnette, M. D., & Carter, G. W. (1990). An alternative selection procedure: The low-fidelity simulation. Journal of Applied Psychology, 75, 640647.Google Scholar
Nakano, D., Jr. Muniz, J., & Jr. Batista, E. D. (2013). Engaging environments: Tacit knowledge sharing on the shop floor. Journal of Knowledge Management, 17, 290306.Google Scholar
Neisser, U. (1976). General, academic, and artificial intelligence. In Resnick, L. B. (ed.), The nature of intelligence (pp. 135144). Hillsdale, NJ: Erlbaum.Google Scholar
Nestor-Baker, N. S., & Hoy, W. K. (2001). Tacit knowledge of school superintendents: Its nature, meaning, and content. Educational Administration Quarterly, 37, 86129.Google Scholar
Nickerson, R. S. (1989). On improving thinking through instruction. Review of Research in Education, 15, 357.Google Scholar
Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford University Press.Google Scholar
Osman, N. Y., Walling, J. L., Mitchell, V. G., & Alexander, E. K. (2015). Length of attending-student and resident-student interactions in the inpatient medicine clerkship. Teaching and Learning in Medicine, 27, 130137.Google Scholar
Oxford English Dictionary (2015). www.oed.com/.Google Scholar
Panahi, S., Watson, J., & Partridge, H. (2012). Social media and tacit knowledge sharing: Developing a conceptual model. World Academy of Science, Engineering and Technology, 64, 10951102.Google Scholar
Papierno, P., Ceci, S., Makel, M., & Williams, W. (2005). The nature and nurture of talent: A bioecological perspective on the ontogeny of exceptional abilities. Journal for the Education of the Gifted, 28, 312332.Google Scholar
Park, Y. S., Lineberry, M., Hyderi, A., Bordage, G., Riddle, J., & Yudkowsky, R. (2013). Validity evidence for a patient note scoring rubric based on the new patient note format of the United States Medical Licensing Examination. Academic Medicine, 88, 15521557.Google Scholar
Paul, R. W. (1987). Dialogical thinking: Critical thought essential to the acquisition of rational knowledge and passions. In Baron, J. B. & Sternberg, R. J. (eds.), Teaching thinking skills: Theory and practice (pp. 127148). New York: W. H. Freeman.Google Scholar
Polanyi, M. (1958). Personal knowledge: Towards a post-critical philosophy. University of Chicago Press.Google Scholar
Polanyi, M. (1966). The tacit dimension. New York: Doubleday.Google Scholar
Prober, C. G., Kolars, J. C., First, L. R., & Melnick, D. E. (2016). A plea to reassess the role of the United States Medical Licensing Examination Step 1 scores in residency selection. Academic Medicine, 91, 1215.Google Scholar
Pusic, M., Pecaric, M., & Boutis, K. (2011). How much practice is enough? Using learning curves to assess the deliberate practice of radiograph interpretation. Academic Medicine, 86, 731736.Google Scholar
Reber, A. S. (1989). Implicit learning and tacit knowledge. Journal of Experimental Psychology: General, 118, 219235.Google Scholar
Reber, A. S., & Lewis, S. (1977). Implicit learning: An analysis of the form and structure of a body of tacit knowledge. Cognition, 5, 333361.Google Scholar
Ree, M. J., Caretta, T. R., & Teachout, M. S. (1995). Role of ability and prior job knowledge in complex training performance. Journal of Applied Psychology, 80, 721730.Google Scholar
Revill, J., & Jefferson, C. (2014). Tacit knowledge and the biological weapons regime. Science and Public Policy, 41, 597610.Google Scholar
Rizan, C., Elsey, C., Lemon, T., Grant, A., & Monrouxe, L. V. (2014). Feedback in action within bedside teaching encounters: A video ethnographic study. Medical Education, 48, 902920.Google Scholar
Ryan, S., & O’Connor, R. V. (2009). Development of a team measure for tacit knowledge in software development teams. Journal of Systems and Software, 82, 229240.Google Scholar
Schmidt, F. L., & Hunter, J. E. (1993). Tacit knowledge, practical intelligence, general mental ability, and job knowledge. Current Directions in Psychological Science, 2, 89.Google Scholar
Schön, D. A. (1983). The reflective practitioner: How professionals think in action. New York: Basic Books.Google Scholar
Schwartz, D. L., & Bransford, J. D. (1998). A time for telling. Cognition and Instruction, 16, 475522.Google Scholar
Shanteau, J. (1992). Competence in experts: The role of task characteristics. Organizational Behavior and Human Decision Processes, 53, 252266.Google Scholar
Somech, A., & Bogler, R. (1999). Tacit knowledge in academia: Its effects on student learning and achievement. Journal of Psychology, 133, 605616.Google Scholar
Spengler, P. M., & Pilipis, L. A. (2015). A comprehensive meta-reanalysis of the robustness of the experience-accuracy effect in clinical judgment. Journal of Counseling Psychology, 62, 360378.Google Scholar
Sternberg, R. J. (1987a). Liking versus loving: A comparative evaluation of theories. Psychological Bulletin, 102, 331345.Google Scholar
Sternberg, R. J. (1987b). Most vocabulary is learned from context. In McKeown, M. G. & Curtis, M. E. (eds.), The nature of vocabulary acquisition (pp. 89105). Hillsdale, NJ: Erlbaum.Google Scholar
Sternberg, R. J. (1988). Beyond IQ: A triarchic theory of human intelligence. Cambridge University Press.Google Scholar
Sternberg, R. J. (1994). Cognitive conceptions of expertise. International Journal of Expert Systems, 7, 112.Google Scholar
Sternberg, R. J. (1997). Successful intelligence. New York: Plume Books.Google Scholar
Sternberg, R. J. (1998a). Abilities are forms of developing expertise. Educational Researcher, 27, 1120.Google Scholar
Sternberg, R. J. (1998b). Cupid’s arrow: The course of love through time. Cambridge University Press.Google Scholar
Sternberg, R. J. (ed.) (2002). Why smart people can be so stupid. New Haven, CT: Yale University Press.Google Scholar
Sternberg, R. J. (2003a). WICS: A model for leadership in organizations. Academy of Management Learning and Education, 2, 386401.Google Scholar
Sternberg, R. J. (2003b). Wisdom, intelligence, and creativity synthesized. Cambridge University Press.Google Scholar
Sternberg, R. J. (2009a). Preparing for college and graduate school: What do tests like the SAT, ACT, and GRE tell us? In Good, T. L. (ed.), 21st century education: A reference handbook (Vol. 2, pp. 473480). Thousand Oaks, CA: Sage Publications.Google Scholar
Sternberg, R. J. (2009b). Wisdom. In Lopez, S. J. (ed.) Encyclopedia of positive psychology (Vol. 2, pp. 10341037) New York: Wiley-Blackwell.Google Scholar
Sternberg, R. J. (2010a). College admissions for the 21st century. Cambridge, MA: Harvard University Press.Google Scholar
Sternberg, R. J. (2010b). Teaching for ethical reasoning in liberal education. Liberal Education, 96, 3237.Google Scholar
Sternberg, R. J. (2012a). A model for ethical reasoning. Review of General Psychology, 16, 319326.Google Scholar
Sternberg, R. J. (2012b). Teaching for ethical reasoning. International Journal of Educational Psychology, 1, 3550.Google Scholar
Sternberg, R. J. (2013a). Personal wisdom in the balance. In Ferrari, M. & Weststrate, N. (eds.), The scientific study of personal wisdom: From contemplative traditions to neuroscience (pp. 5374). New York: Springer.Google Scholar
Sternberg, R. J. (2013b). Teaching for wisdom. In David, S., Boniwell, I., & Ayers, A. C. (eds.), The Oxford handbook of happiness (pp. 631643). Oxford University Press.Google Scholar
Sternberg, R. J. (2015). Ethical impotence. Journal of College and Character, 16, 180185.Google Scholar
Sternberg, R. J. (2016). What universities can be. Ithaca, NY: Cornell University Press.Google Scholar
Sternberg, R. J., Forsythe, G. B., Hedlund, J., Horvath, J. A., Wagner, R. K., Williams, W. M., … & Grigorenko, E. L. (2000). Practical intelligence in everyday life. Cambridge University Press.Google Scholar
Sternberg, R. J., & Horvath, J. A. (eds.) (1999). Tacit knowledge in professional practice: Researcher and practitioner perspectives. Mahwah, NJ: Erlbaum.Google Scholar
Sternberg, R. J., Jarvin, L., & Grigorenko, E. L. (2009). Teaching for wisdom, intelligence, creativity, and success. Thousand Oaks, CA: Corwin.Google Scholar
Sternberg, R. J., & Rainbow Project Collaborators (2005). Augmenting the SAT through assessments of analytical, practical, and creative skills. In Camara, W. J. & Kimmel, E. W. (eds.), Choosing students: Higher education tools for the 21st century (pp. 159176). Mahwah, NJ: Erlbaum.Google Scholar
Sternberg, R. J., Wagner, R. K., & Okagaki, L. (1993). Practical intelligence: The nature and role of tacit knowledge in work and at school. In Puckett, J. M. & Reese, H. W. (eds.), Mechanisms of everyday cognition (pp. 205223). Hillsdale, NJ: Erlbaum.Google Scholar
Steurer, J., Held, U., & Miettinen, O. S. (2013). Diagnostic probability function for acute coronary heart disease garnered from experts’ tacit knowledge. Journal of Clinical Epidemiology, 66, 12891295.Google Scholar
Tan, H., & Libby, R. (1997). Tacit managerial versus technical knowledge as determinants of audit expertise in the field. Journal of Accounting Research, 35, 97113.Google Scholar
Tee, M. Y., & Karney, D. (2010). Sharing and cultivating tacit knowledge in an online learning environment. International Journal of Computer-Supported Collaborative Learning, 5, 385413.Google Scholar
Tolman, E. C., & Brunswik, E. (1935). The organism and the causal texture of the environment. Psychological Review, 42, 4377.Google Scholar
Venkitachalam, K., & Busch, P. (2012). Tacit knowledge: Review and possible research directions. Journal of Knowledge Management, 16, 357372.Google Scholar
Wagner, R. K. (1987). Tacit knowledge in everyday intelligent behavior. Journal of Personality & Social Psychology, 52, 12361247.Google Scholar
Wagner, R. K., & Sternberg, R. J. (1985). Practical intelligence in real-world pursuits: The role of tacit knowledge. Journal of Personality & Social Psychology, 49, 436458.Google Scholar
Wagner, R. K., & Sternberg, R. J. (1989). Tacit Knowledge Inventory for Sales: Written. Unpublished test.Google Scholar
Wagner, R. K, & Sternberg, R. J. (1990). Street smarts. In Clark, K. E. & Clark, M. B. (eds.), Measures of Leadership (pp. 493504). West Orange, NJ: Leadership Library of America.Google Scholar
Wagner, R. K., & Sternberg, R. J. (1991). Tacit Knowledge Inventory for managers. San Antonio: Psychological Corporation.Google Scholar
Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. Cambridge University Press.Google Scholar
Wenger, E. (2000). Communities of practice and social learning systems. Organization, 7, 225246.Google Scholar
Wenger, E., McDermott, R., & Snyder, W. M. (2002). Cultivating communities of practice. Boston: Harvard Business School Press.Google Scholar
Wenger, E., & Snyder, W. M. (2000). Communities of practice: The organizational frontier. Harvard Business Review (January–February), 139145.Google Scholar
Wenger, E., White, N., & Smith, J. D. (2009). Digital habitats: Stewarding technology for communities. Portland, OR: CPSquare.Google Scholar
Wigton, R. S. (1996). Social judgment theory and medical judgment. Thinking & Reasoning, 2, 175190.Google Scholar
Williams, R. G., & Dunnington, G. L. (2006). Assessing the ACGME competencies with methods that improve the quality of evidence and adequacy of sampling. ACGME Bulletin (April), 3842.Google Scholar
Williams, R. G., & Klamen, D. L. (2012). Examining the diagnostic justification abilities of fourth-year medical students. Academic Medicine, 87, 10081014.Google Scholar
Williams, W., Blythe, T., White, N., Li, J., Gardner, H., & Sternberg, R. J. (2002). Practical intelligence for school: Developing metacognitive sources of achievement in adolescence. Developmental Review, 22, 162210.Google Scholar
Williams, W., Blythe, T., White, N., Li, J., Sternberg, R. J., & Gardner, H. (1996). Practical intelligence for school handbook. New York: HarperCollins.Google Scholar
Wilson, T. D., & Dunn, E. W. (2004). Self-knowledge: Its limits, value, and potential for improvement. Annual Review of Psychology, 55, 493518.Google Scholar
Wittmann, W. W., & Süß, H. M. (1999). Investigating the paths between working memory, intelligence, knowledge, and complex problem-solving performances via Brunswik symmetry. In Ackerman, P. L., Kyllonen, P. C., & Roberts, R. D. (eds.), Learning and individual differences: Process, trait, and content determinants (pp. 77108). Washington, DC: American Psychological Association.Google Scholar
Zemel, A., & Koschmann, T. (2014). ‘Put your fingers right in here’: Learnability and instructed experience. Discourse Studies, 16, 163183.Google Scholar
Zemel, A., Koschmann, T., & LeBaron, C. (2011). Pursuing a response: Prodding recognition and expertise within a surgical team. In Streeck, J., Goodwin, C., & LeBaron, C. (eds.), Embodied interaction: Language and body in the material world (pp. 227242). Cambridge University Press.Google Scholar
Zimmerman, B. J. (2006). Development and adaptation of expertise: The role of self-regulatory processes and beliefs. In Ericsson, K. A., Charness, N., Hoffman, R. R., & Feltovich, P. J. (eds.), The Cambridge handbook of expertise and expert performance (pp. 705722). Cambridge University Press.Google Scholar

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