Jennifer Docktor [ 04/07/08
Research References:
Jump To:
- Validity & ReliabilityReferences
- Rubric Construction References
- Problem Solving References
Validity & Reliability References:[top of page]
American Educational Research Association, American Psychological Association, & National
Council on Measurement in Education (1999). Standards for educational and psychological testing. Washington, DC: American Educational Research Association.
Ary, D., Jacobs, L.C., & Razavieh, A. (1985). Introduction to research in education (3rd ed.).
New York, NY: Holt, Rinehart and Winston.
[pp. 138-155, Sampling; pp. 213-240, Validity & Reliability]
Banerjee, M., Capozzoli, M., McSweeney, L., & Sinha, D. (1999). Beyond kappa: A review of
interrater agreement measures. The Canadian Journal of Statistics, 27(1), 3-23.
Borg, W.R., & Gall, M.D. (1989). Educational research: An introduction (5th ed.). White Plains,
NY: Longman. [pp.213-242, populations and samples; pp. 245-263, validity & reliability]
Cicchetti, D.V., & Fleiss, J.L. (1977). Comparison of the null distributions of weighted kappa
and the C ordinal statistic. Applied Psychological Measurement, 1, 195-201.
Cohen, J. (1968). Weighted kappa: Nominal scale agreement with provision for scaled
disagreement or partial credit. Psychological Bulletin, 70(4), 213-220.
Cohen, L., Manion, L., & Morrison, K. (2000). Research methods in education (5th ed.). New
York, NY: RoutledgeFalmer.
Creswell, J.W. (1998). Qualitative inquiry and research design: Choosing among five traditions.
Thousand Oaks, California: Sage Publications, Inc.
Fleiss, J.L., & Cohen, J. (1973). The equivalence of weighted kappa and the intraclass
correlation coefficient as measures of reliability. Educational and Psychological Measurement, 33, 613-619.
Gay, L.R. (1981). Educational research: Competencies for analysis & application. Columbus,
Ohio: Charles E. Merrill Publishing Co.
Howell, D.C. (2002). Statistical methods for psychology (5th ed.). Pacific Grove, CA: Thomson
Learning, Inc.
Kane, M.T. (1992). An argument-based approach to validity. Psychological Bulletin, 112(3),
527-535.
Kane, M.T. (2001). Current concerns in validity theory. Journal of Educational Measurement,
38(4), 319-342.
Linn, R.L., Baker, E.L., & Dunbar, S.B. (1991). Complex, performance-based assessment:
Expectations and validation criteria. Educational Researcher, 20(8), 15-21.
Lohr, S.L. (1999). Sampling: Design and analysis. Pacific Grove, California: Brooks/Cole
Publishing Company.
Messick, S. (1994). The interplay of evidence and consequences in the validation of performance
assessments. Educational Researcher, 23(2), 13-23.
Messick, S. (1995). Validity of psychological assessment: Validation of inferences from persons’
responses and performances as scientific inquiry into score meaning. American Psychologist, 50(9), 741-749.
Moss, P.A. (1992). Shifting conceptions of validity in educational measurement: Implications for
performance assessment. Review of Educational Research, 62(3), 229-258.
Rubric Construction References: [top of document]
Arter, J., & McTighe, J. (2001). Scoring rubrics in the classroom. Thousand Oaks, California:
Corwin Press, Inc.
Bargainnier, S. (2003). Fundamentals of rubrics. Retrieved September 14, 2007 from the
University of Idaho Enriched Learning Environment Project web site:
Baughin, J.A., Brod, E.F., & Page, D.L. (2002). Primary trait analysis: A tool for classroom-
based assessments. College Teaching, 50(2), 75-80.
Ebel, R.L. (1982). Proposed solution to two problems of test construction. Journal of
Educational Measurement, 19(4), 267-278.
Ebert-May, D. (1999). Scoring rubrics for written assignments and oral presentations. Retrieved
March 28, 2007, from University of Wisconsin-Madison, National Institute for Science
Education Field-tested Learning Assessment Guide Web site:
Gibbs, G., & Simpson, C. (2003). Does your assessment support your students’ learning?
Journal of Learning and Teaching in Higher Education, 1(1), 1-27 (?).
Mertler, C.A. (2001). Designing scoring rubrics for your classroom. Practical Assessment,
Research & Evaluation, 7(25).
Montgomery, K. (2002). Authentic tasks and rubrics: Going beyond traditional assessments in
college teaching. College Teaching, 50(1), 34-39.
Murthy, S. (2007). Peer-assessment of homework using rubrics. Proceedings of the 2007 Physics
Education Research Conference (pp. 156-159). Melville, NY: American Institute of Physics.
Quellmalz, E.S. (1991). Developing criteria for performance assessments: The missing link.
Applied Measurement in Education, 4(4), 319-331.
Problem-Solving References:[top of document]
Abel, C.F. (2003). Heuristics and problem solving. New Directions for Teaching and Learning,
95, 53-58.
Adelson, B. (1984). When novices surpass experts: The difficulty of a task may increase with
expertise. Journal of Experimental Psychology: Learning, Memory, and Cognition, 10,
483-495.
Alexander, P.A. (2003). The development of expertise: The Journey from acclimation to
proficiency. Educational Researcher, 32(8), 10-14.
Anderson, J.R. (1987). Skill acquisition: Compilation of weak-method problem solutions.
Psychological Review, 94(2), 192-210.
Anzai, Y. & Yokoyama, T. (1984). Internal models in physics problem solving. Cognition and
Instruction, 1(4), 397-450.
Arons, A.B. (1976). Cultivating the capacity for formal reasoning: Objectives and procedures in
an introductory physical science course. American Journal of Physics, 44(9), 834-838.
Arons, A.B. (1990). A guide to introductory physics teaching. New York: Wiley.
[Chapter 13: Critical Thinking, pp.313-327]
Bagno, E., & Eylon, B. (1997). From problem solving to knowledge structure: An example from
the domain of electromagnetism. American Journal of Physics, 65(8), 726-736.
Bassok, M. (1990). Transfer of domain-specific problem-solving procedures. Journal of
Experimental Psychology: Learning, Memory, & Cognition, 16(3), 522-533.
Bédard, Jean, & Chi, M.T.H. (1992). Expertise. Current Directions in Psychological Science,
1(4), 135-139.
Bhaskar, R., & Simon, H.A. (1989). Problem solving in semantically rich domains: An example
from engineering thermodynamics. In H.A. Simon (Ed.), Models of thought vol. 2 (pp.
197-214). New Haven: YaleUniversity Press. (Reprinted from Cognitive Science, 1, pp. 193-215, 1977)
Bing, T., & Redish, E.F. (2006). The cognitive blending of mathematics and physics knowledge.
Proceedings of the 2006 Physics Education Research Conference, (pp. XX-XX). Melville, NY: American Institute of Physics.
Blue, J.M. (1997). Sex differences in physics learning and evaluations in an introductory
course. Unpublished doctoral dissertation, University of Minnesota, TwinCities.
Bolton, J., Keynes, M., & Ross, S. (1997). Developing students’ physics problem-solving skills.
Physics Education, 32(3), 176-185.
Carney, A. (2006, October). What do we want our students to learn? Transform, 1, 1-6.
Champagne, A.B., Gunstone, R.F., & Klopfer, L.E. (1982). A perspective on the differences
between expert and novice performance in solving physics problems. Research in Science Education, 12, 71-77.
Champagne, A.B., Klopfer, L.E., & Anderson, J.H. (1980). Factors influencing the learning of
classical mechanics. American Journal of Physics, 48(12), 1074-1079.
Chase, W.G., & Simon, H.A. (1973). Perception in chess. Cognitive Psychology, 4, 55-81.
Chi, M.T.H. (1985). Interactive roles of knowledge and strategies in the development of
organized sorting and recall. In S.F. Chipman, J.W. Segal, & R. Glaser (Eds.), Thinking and learning skills vol. 2: Research and open questions (pp. 457-483). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
Chi, M.T.H. (1996). Constructing self-explanations and scaffolded explanations in tutoring.
Applied Cognitive Psychology, 10, S33-S49.
Chi, M.T.H. (2006). Two approaches to the study of experts’ characteristics. In K.A. Ericsson,
N. Charness, R.R. Hoffman, & P.J. Feltovich (Eds.), The Cambridge handbook of expertise and expert performance (pp. 21-30). New York, NY: CambridgeUniversity Press.
Chi, M.T.H., Bassok, M., Lewis, M.W., Reimann, P., & Glaser, R. (1989). Self-explanations:
How students study and use examples in learning to solve problems. Cognitive Science,
13(2), 145-182.
Chi, M.T.H., DeLeeuw, N., Chiu, M.H., & LaVancher, C. (1994). Eliciting self-explanations
improves understanding. Cognitive Science, 18, 439-477.
Chi, M.T.H., Feltovich, P. & Glaser, R. (1981). Categorization and representation of physics
problems by experts and novices. Cognitive Science, 5, 121-152.
Chi, M.T.H., Glaser, R., & Rees, E. (1982). Expertise in problem solving. In R.J. Sternberg (Ed.)
Advances inthe psychology of human intelligence vol. 1 (pp. 7-75).Hillsdale, NJ: Erlbaum.
Chi, M.T.H., & VanLehn, K.A. (1991). The content of physics self-explanations. The Journal of
the Learning Sciences, 1(1), 69-105.
Clement, J.J. (1979). Mapping a student’s causal conceptions from a problem-solving protocol.
In J. Lochhead & J. Clement (Eds.), Cognitive process instruction: Research on teaching thinking skills (pp. 133-146). Philadelphia: The Franklin Institute Press.
Clement, J. (1988). Observed methods for generating analogies in scientific problem solving.
Cognitive Science, 12, 563-586.
Clement, J.J. (1998). Expert novice similarities and instruction using analogies. International
Journal of Science Education, 20(10), 1271-1286.
Cohen, E., & Kanim, S.E. (2004). Algebraic difficulties in physics. Retrieved September 9,
2007, from New MexicoStateUniversity, Space Grant Consortium web site:
Cohen, E., & Kanim, S.E. (2005). Factors influencing the algebra “reversal error”. American
Journal of Physics, 73(11), 1072-1078.
Davidson, J.E. (2003). Insights about insightful problem solving. In J. E. Davidson & R. J.
Sternberg (Eds.), The psychology of problem solving (pp. 149-175). Cambridge, UK: CambridgeUniversity Press.
Davidson, J.E., Deuser, R., & Sternberg, R.J. (1994). The role of metacognition in problem
solving. In Metcalfe & Shimamura (Eds.), Metacognition (pp. 207-226). Cambridge: MIT press.
Davidson, J. E., & Sternberg, R. J. (Eds.). (2003). The psychology of problem solving.
Cambridge, UK: CambridgeUniversity Press.
deJong, T., & Ferguson-Hessler, M.G.M. (1986). Cognitive structures of good and poor novice
problem solvers in physics. Journal of Educational Psychology, 78(4), 279-288.
de Jong, T., & Ferguson-Hessler, M.G.M. (1991). Knowledge of problem situations in physics:
A comparison of good and poor novice problem solvers. Learning and Instruction, 1, 289-302.
de Jong, T., & Ferguson-Hessler, M.G.M. (1996). Types and qualities of knowledge.
Educational Psychologist, 31(2), 105-113.
De Mul, F.F.M., Batlle, C.M.I., De Bruijn, I., & Rinzema, K. (2004). How to encourage
university students to solve physics problems requiring mathematical skills: The ‘adventurous problem solving’ approach. European Journal of Physics, 25(1), 51-61.
Dhillon, A.S. (1998). Individual differences within problem-solving strategies used in physics.
Science Education, 82, 379-405.
diSessa, A.A. (1993). Toward an epistemology of physics. Cognition and Instruction, 10(2/3),
105-225.
Dominowski, R.L., & Bourne, Jr., L.E. (1994). History of research on thinking and problem
solving. In R.J. Sternberg (Ed.), Thinking and Problem Solving (pp. 1-35). San Diego: Academic Press, Inc.
Donald, J.G. (1991). The learning task in engineering courses: A study of professors’ perceptions
of the learning process in six selected courses. European Journal of Engineering Education, 16(2), 181-192.
Donald, J.G. (1992). Professors’ and students’ conceptualizations of the learning task in
engineering courses. European Journal of Engineering Education, 17(3), 229-245.
Dreyfus, H.L., & Dreyfus, S.E. (1986). Mind over machine. New York: Free Press.
[Chapter 1 “Five Steps from Novice to Expert” pp. 16-51]
Driver, R., & Warrington, L. (1985). Students’ use of the principle of energy conservation in
problem situations. Physics Education, 20, 171-176.
Duch, B.J., Groh, S.E., & Allen, D.E. (2001). The power of problem-based learning. Sterling,
Virginia: Stylus Publishing, LLC.
Dufresne, R.J., Gerace, W.J., & Leonard, W.J. (1997). Solving physics problems with multiple
representations. The Physics Teacher, 35, 270-275.
Dufresne, R.J., Gerace, W.J., Hardiman, P.T., & Mestre, J.P. (1992). Constrainingnovices to
perform expertlike problem analyses: Effects on schema acquisition. Journal of the Learning Sciences,2(3), 307–331.
Dufresne, R.J., Leonard, W.J., & Gerace, W.J. (February, 1995) A qualitative model for the
storage of domain-specific knowledge and its implications for problem-solving. Physics
Education Research Group. University of Massachusetts-Amherst. Retrieved on March
26, 2007 from
Elio, R., & Scharf, P.B. (1990). Modeling novice-to-expert shifts in problem-solving strategy
and knowledge organization. Cognitive Science, 14(4), 579-639.
Ericsson, K.A. (2003). The acquisition of expert performance as problem solving: Construction
and modification of mediating mechanisms through deliberate practice. In J. E. Davidson & R. J. Sternberg (Eds.), The psychology of problem solving (pp. 31-86). Cambridge, UK: CambridgeUniversity Press.
Ericsson, K.A. (2006). Protocol analysis and expert thought: Concurrent verbalizations of
thinking during experts’ performance on representative tasks. In K.A. Ericsson, N. Charness, R.R. Hoffman, & P.J. Feltovich (Eds.), The Cambridge handbook of expertise and expert performance (pp. 223-242). New York, NY: CambridgeUniversity Press.
Etkina, E., Van Heuvelen, A.V., White-Brahmia, S., Brookes, D.T., Gentile, M., Murthy, S., et
al. (2006). Scientific abilities and their assessment. Physical Review Special Topics – Physics Education Research, 2(020103), 1-15.
Eylon, B., & Reif, F. (1984). Effects of knowledge organization on task performance. Cognition
and Instruction, 1(1), 5-44.
Farnham-Diggory, S. (1994). Paradigms of knowledge and instruction. Review of Educational
Research, 64(3), 463-477.
Feldon, D.F. (2007). The implications of research on expertise for curriculum and pedagogy.
Educational Psychology Review, 19, 91-110.
Feltovich, P.J., Prietula, M.J., & Ericsson, K.A. (2006). Studies of expertise from psychological
perspectives. In K.A. Ericsson, N. Charness, R.R. Hoffman, & P.J. Feltovich (Eds.), The Cambridge handbook of expertise and expert performance (pp. 41-68). New York, NY: CambridgeUniversity Press.
Ferguson-Hessler, M.G.M., & de Jong, T. (1987). On the quality of knowledge in the field of
electricity and magnetism. American Journal of Physics, 55(6), 492-497.
Ferguson-Hessler, M.G.M., deJong, T. (1990). Studying physics texts: Differences in study
processes between good and poor performers. Cognition and Instruction, 7(1), 41-54.
Ferguson-Hessler, M.G.M., & de Jong, T. (1993). Does physics instruction foster university
students’ cognitive processes?: A descriptive study of teacher activities. Journal of Research in Science Teaching, 30(7), 681-696.
Finegold, M., & Mass, R. (1985). Differences in the process of solving physics problems
between good problem solvers and poor problem solvers. Research in Science and Technology Education, 3, 59-67.
Flavell, J.H. (1976). Metacognitive aspects of problem solving. In L.B. Resnick (Ed.), The
nature of intelligence (pp. 231-235). Hillsdale, NJ: Lawrence Erlbaum Associates.
Flavell, J.H. (1979). Metacognition and cognitive monitoring: A new area of cognitive-
developmental inquiry. American Psychologist, 34(10), 906-911.
Foster, T. (2000). The development of students' problem-solving skills from instruction
emphasizing qualitative problem-solving. Unpublished doctoral dissertation, University
of Minnesota, Twin Cities.
Frederiksen, N. (1984). Implications of cognitive theory for instruction in problem solving.
Review of Educational Research, 54(3), 363-407.
French, J.N., & Rhoder, C. (1992). Teaching thinking skills: Theory and practice. New York:
Garland Publishing Inc. [pp. 151-182: Problem solving and decision making]
Frensch, P.A., & Sternberg, R.J. (1991). Skill-related differences in game playing. In R.J.
Sternberg & P.A. Frensch (Eds.), Complex problem solving: Principles and mechanisms (pp. 343-381). Hillsdale, NJ: Lawrence Erlbaum.
Gaigher, E., Rogan, J.M., & Braun, M.W.H. (2007). Exploring the development of conceptual
understanding through structured problem-solving in physics. International Journal of Science Education, 29(9), 1089-1110.
Garofalo, J., & Lester, F.K. (1985). Metacognition, cognitive monitoring, and mathematical
performance. Journal for Research in Mathematics Education, 16(3), 163-176.
Ge, X., & Er, N. (2005). An online support system to scaffold real-world problem solving.
Interactive Learning Environments, 13(3), 139-157.
Gentner, D. (1983). Structure-mapping: A theoretical framework for analogy. Cognitive Science,
7, 155-170.
Gentner, D., & Markman, A.B. (1997). Structure mapping in analogy and similarity. American
Psychologist, 52(1), 45-56.
Gerace, W.J., & Beatty, I.D. (2005, February). Teaching vs. learning: Changing perspectives on
problem solving in physics instruction. Paper presented at the 9th Common Conference of
the Cyprus Physics Association and Greek Physics Association, Nicosia, Cyprus.
Gick, M.L. (1986). Problem-solving strategies. Educational Psychologist, 21(1 & 2), 99-120.
Goldstein, I.P., & Brown, J.S. (1979). The computer as a personal assistant for learning. In J.
Lochhead & J. Clement (Eds.), Cognitive process instruction: Research on teaching thinking skills (pp. 201-207). Philadelphia: The Franklin Institute Press.
Grayson, D.J., & McDermott, L. C. (1996). Use of the computer for research on student thinking
in physics. American Journal of Physics, 64(5), 557-565.
Green, B.F., McCloskey, M., & Caramazza, A. (1985). The relation of knowledge to problem
solving, with examples from kinematics. In S.F. Chipman, J.W. Segal, & R. Glaser (Eds.), Thinking and learning skills vol. 2: Research and open questions (pp. 141-159). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc
Greenfield, L.B. (1979). Engineering student problem solving. In J. Lochhead & J. Clement
(Eds.), Cognitive process instruction: Research on teaching thinking skills (pp. 229-238). Philadelphia: The Franklin Institute Press.
Hallabaugh, M. (1995). Physics problem-solving in cooperative learning groups. Unpublished
doctoral dissertation, University of Minnesota, TwinCities.
Halloun, I.A. (1996). Schematic modeling for meaningful learning of physics. Journal of
Research in Science Teaching, 33(9), ??-??.
Halloun, I.A., & Hestenes, D. (1985). The initial knowledge state of college physics students.
American Journal of Physics, 53(11), 1043-1055.
Hambrick, D.Z., & Engle, R.W. (2003). The role of working memory in problem solving. In J.
E. Davidson & R. J. Sternberg (Eds.), The psychology of problem solving (pp. 176-206). Cambridge, UK: CambridgeUniversity Press.
Harper, K.A. (2006). Student problem-solving behaviors. The Physics Teacher, 44(4), 250-251.
Harskamp, E., & Ding, N. (2006). Structured collaboration versus individual learning in solving
physics problems. International Journal of Science Education, 28(14), 1669-1688.
Hassebrock, F., Johnson, P.E., Bullemer, P., Fox, P.W., & Moller, J.H. (1993). When less is
more: Representation and selective memory in expert problem solving. The American Journal of Psychology, 106(2), 155-189.
Hayes, J.R. (1985). Three problems in teaching general skills. In S.F. Chipman, J.W. Segal, & R.
Glaser (Eds.), Thinking and learning skills vol. 2 (pp. 391-405). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
Hayes, J.R. (1989). The complete problem solver (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum
Associates.
Hayes-Roth, B., & Hayes-Roth, F. (1979). A cognitive model of planning. Cognitive Science, 3,
275-310.
Hegarty, M. (1991). Knowledge and processes in mechanical problem solving. In R.J. Sternberg
& P.A. Frensch (Eds.), Complex problem solving: Principles and mechanisms (pp. 253-285). Hillsdale, NJ: Lawrence Erlbaum.
Hegarty, M., Mayer, R.E., & Monk, C.A. (1995). Comprehensionof arithmetic word problems:
A comparison of successful and unsuccessfulproblem solvers. Journal of Educational Psychology,87(1), 18–32.
Heller, J. I., & Reif, F. (1984). Prescribing effective human problem-solving processes: Problem
description in physics. Cognition and Instruction, 1(2), 177-216.
Heller, K., & Heller, P. (2000). The competent problem solver for introductory physics.Boston:
McGraw-Hill.
Heller, K., & Heller, P. (2006). Instructor’s handbook: A guide for TAs. University of
Minnesota, Department of Physics.
Heller, P., Heller, K., & Kuo, V. (2004, January). Procedure for setting goals for an introductory
physics course. Contributed talk presented at the meeting of the American Association of
Physics Teachers, Miami Beach, FL.
Heller, P., & Hollabaugh, M. (1992). Teaching problem solving through cooperative grouping.
Part 2: Designing problems and structuring groups. American Journal of Physics, 60(7), 637-644.
Heller, P., Keith, R., & Anderson, S. (1992). Teaching problem solving through cooperative
grouping. Part 1: Group versus individual problem solving. American Journal of Physics, 60(7), 627-636.
Henderson, C. (2002). Faculty conceptions about the teaching and learning of problem solving
in introductory calculus-based physics. Unpublished doctoral dissertation, University of Minnesota, TwinCities.
Henderson, C., Yerushalmi, E., Kuo, V.H., Heller, P., & Heller, K. (2004). Grading student
problem solutions: The challenge of sending a consistent message. American Journal of
Physics, 72(2), 164-169.
Hewitt, P.G. (1983). Millikan lecture 1982: The missing essential – a conceptual understanding
of physics. American Journal of Physics, 51(4), 305-311.
Heywood, J. (2005). Engineering education: Research and development in curriculum and
instruction. Hoboken, New Jersey: John Wiley & Sons, Inc. [Chapter 10: Problem Solving pp. 243-260]
Hoellwarth, C., Moelter, M.J., & Knight, R.D. (2005). A direct comparison of conceptual
learning and problem solving ability in traditional and studio style classrooms. American Journal of Physics, 73(5), 459-462.
Holyoak, K.J., Junn, E.N., & Billman, D.O. (1984). Development of analogical problem-solving
skill. Child Development, 55(6), 2042-2055.
Hsu, L., Brewe, E., Foster, T. M., & Harper, K. A. (2004). Resource letter RPS-1: Research in
problem solving. American Journal of Physics, 72(9), 1147-1156.
Hudson, H.T., & McIntire, W.R. (1977). Correlation between mathematical skills and success in
physics. American Journal of Physics, 45(5), 470-471.
Huffman, D. (1997). Effect of explicit problem solving instruction on high school students’
problem-solving performance and conceptual understanding of physics. Journal of Research in Science Teaching, 34(6), 551-570.
Hung, W., & Jonassen, D.H. (2006). Conceptual understanding of causal reasoning in physics.
International Journal of Science Education, 28(13), 1601-1621.
Hunt, E. (1994). Problem solving. In R.J. Sternberg (Ed.), Thinking and problem solving (pp.
215-232). San Diego, CA: Academic Press, Inc.
Johnson, M. (2001). Facilitating high quality student practice in introductory physics. American
Journal of Physics, Physics Education Research Supplement,69(7), S2-S11.
Jonassen, D.H. (1997). Instructional design models for well-structured and ill-structured
problem-solving learning outcomes. Educational Technology Research & Development, 45(1), 65-94.
Jonassen, D. (2003). Using cognitive tools to represent problems. Journal of Research on
Technology in Education, 35(3), 362-381.
Kalyuga, S. (2006). Rapid cognitive assessment of learners’ knowledge structures. Learning and
Instruction, 16(10), 1-11.
Kim, E., & Pak, S. (2002). Students do not overcome conceptual difficulties after solving 1000
traditional problems. American Journal of Physics, 70(7), 759-765.
Klenk, M., & Forbus, K. (2006, July). Analogical model formulation for AP physics problems.
Paper presented at the 20th International Workshop on Qualitative Reasoning, Hannover, NH.
Klenk, M., & Forbus, K. (2007a). Cognitive modeling of analogy events in physics problem
solving from examples. In The Proceedings of CogSci-07, Nashville, TN.
Klenk, M., & Forbus, K. (2007b). Measuring the level of transfer learning by an AP physics
problem-solver. In The Proceedings of AAAI-07: Twenty-second conference on Artificial Intelligence, Vancouver, BC, Canada.
Koch, A., & Eckstein, S.G. (1995). Skills needed for reading comprehension of physics texts and
their relation to problem-solving ability. Journal of Research in Science Teaching, 32(6), 613-628.
Koplowitz, H. (1979). The feeling of knowing when one has solved a problem. In J. Lochhead &