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1 Education Research Employing Operational Definitions Can Enhance the Teaching Art *Richard Hake <[email protected]> Indiana University, Emeritus <http://www.physics.indiana.edu/~hake> ABSTRACT: The operational definition of terms such as inquiry, discovery, and direct instruction is required if research findings are to be meaningfully conveyed to the education community and the general public. For example, Klahr & Nigam (2004) demonstrated the superiority of what they defined as direct instruction over what they defined as discovery learning. But their research was widely misinterpreted as showing that direct instruction in all its various forms was superior to discovery learning in all its various forms. Then Kirschner, Sweller, & Clark [2006] added to the confusion by incorrectly: (a) identifying constructivist, discovery, problem-based, experiential, and inquiry- based teaching methods as all "minimally guided"; and (b) proclaiming them all to be failures. Paraphrasing Klahr & Li (2005) “those engaged in discussions about implications and applications of educational research should focus on clearly defined instructional methods and procedures, rather than vague labels and outmoded –isms.” ____________________________________________ *Based on “Language Ambiguities in Education Research” [Hake (2008a)], submitted to the Journal of Learning Sciences on 21 August 2008 but rejected – proof positive of an exemplary paper which is online at <http://bit.ly/bHTebD>. All URL’s are hot-linked; accessed on 1 Aug. 2010. URL’s shortened by <http://bit.ly/> or <http://tinyurl.com/>. The reference is “Education Research Employing Operational Definitions Can Enhance the Teaching Art” [Hake (2010b)] – see below in References, pp. 18-26. See also Helping Students to Think Like Physicists in Socratic Dialogue Inducing Labs” [Hake (2010a)] – see below in References, pp. 18-26. © Richard R. Hake, 2 August 2010. Partially supported by NSF Grant DUE/MDR-9253965. Permission to copy or disseminate all or part of this material is granted provided that the copies are not made or distributed for commercial advantage, and the copyright and its date appear. To disseminate otherwise, to republish, or to place at another website (instead of linking to <http://www.physics.indiana.edu/~hake>) requires written permission. Please send comments and criticisms to <[email protected]>.

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Education Research Employing Operational Definitions Can Enhance the Teaching Art*†◊

Richard Hake <[email protected]> Indiana University, Emeritus <http://www.physics.indiana.edu/~hake>

ABSTRACT: The operational definition of terms such as inquiry, discovery, and direct instruction is required if research findings are to be meaningfully conveyed to the education community and the general public. For example, Klahr & Nigam (2004) demonstrated the superiority of what they defined as direct instruction over what they defined as discovery learning. But their research was widely misinterpreted as showing that direct instruction in all its various forms was superior to discovery learning in all its various forms.

Then Kirschner, Sweller, & Clark [2006] added to the confusion by incorrectly: (a) identifying constructivist, discovery, problem-based, experiential, and inquiry-based teaching methods as all "minimally guided"; and (b) proclaiming them all to be failures.

Paraphrasing Klahr & Li (2005) “those engaged in discussions about implications and applications of educational research should focus on clearly defined instructional methods and procedures, rather than vague labels and outmoded –isms.” ____________________________________________

*Based on “Language Ambiguities in Education Research” [Hake (2008a)], submitted to the Journal of Learning Sciences on 21 August 2008 but rejected – proof positive of an exemplary paper which is online at <http://bit.ly/bHTebD>. All URL’s are hot-linked; accessed on 1 Aug. 2010. URL’s shortened by <http://bit.ly/> or <http://tinyurl.com/>.

†The reference is “Education Research Employing Operational Definitions Can Enhance the Teaching Art” [Hake (2010b)] – see below in References, pp. 18-26.

◊ See also “Helping Students to Think Like Physicists in Socratic Dialogue Inducing Labs” [Hake (2010a)] – see below in References, pp. 18-26.

© Richard R. Hake, 2 August 2010. Partially supported by NSF Grant DUE/MDR-9253965. Permission to copy or disseminate all or part of this material is granted provided that the copies are not made or distributed for commercial advantage, and the copyright and its date appear. To disseminate otherwise, to republish, or to place at another website (instead of linking to <http://www.physics.indiana.edu/~hake>) requires written permission. Please send comments and criticisms to <[email protected]>.

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OUTLINE I. What Are Operational Definitions? II. Failure to Employ Operational Definitions For Pedagogical Terms Threatens the Teaching Art – Examples:

A. “The equivalence of learning paths in early science instruction: effects of direct instruction and discovery learning.” [Klahr & Nigam (2004)].* B. “Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching.” [Kirschner, Sweller, & Clark (2006)]*

III. Epilogue ________________________________________ *References here and throughout this paper are below in References, pp. 18-26.

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I. What Are Operational Definitions?

Gerald Holton Stephen Brush Physics: The Human Adventure “All intelligent human endeavor stands with one foot on observation and the other on contemplation. But scientists have gradually come to limit themselves to certain types of observations and thought processes. One distinctly striking ‘limitation’ is the tacit desire among scientists to assure that they are in fact discussing the same concepts in a given argument. . . . .

For example, the concept ‘length of an object’ as used in science is ultimately defined the very operation involved in making the measurement. The problem, ‘What is the length of a block,’ is for all practical purposes identical with the question, ‘What is the difference in between those two numbers printed on a specific meter stick that stand directly below two corresponding scratches, entered there to signify local coincidence with adjacent corners of the block?’. . . . [[My insert: or, more simply - the reading on a vernier caliper whose arms bracket the length of the block (as demonstrated during my talk)]]. . . . .

The bold italicized sentence above contains an abbreviated example of we shall call an operational definition, that of length, and although it seems ridiculously involved, and may never be used explicitly, four experts engaged to measure the length can regard it as the true meaning of the length of a block, available for examination should any dispute arise. Ideally, each of the concepts used in the physical sciences can be made clear in terms of some such operational definition, and that perhaps is the most important of the mechanisms whereby mutual understanding among scientists is made possible. For clearly it is more difficult to misinterpret actions than words. . . . . . ” Holton & Brush (2001, pp. 161-164) – see below in References, pp. 18-26.

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Similarly:

Henri Poincare´

incisively commented:

“When we say force is the cause of motion we talk metaphysics, and this definition, if we were content with it, would be absolutely sterile. For a definition to be of any use, it must teach us to measure force; moreover, that suffices; it is not at all necessary that it teach us what force is in itself, nor whether it is the cause or the effect of motion.” Henri Poincare´ (1905)

And in criticisms [Hake (2004, 2005) of the California Curriculum Commission’s anti-hands-on “Criteria For Evaluating K-8 Science Instructional Materials In Preparation for the 2006 Adoption,” I opined that popular pedagogic terms such as discovery learning, direct instruction, hands-on activities, active learning, cooperative learning, inquiry, and interactive engagement, should be operationally defined, i.e., rigorous operations should be defined for distinguishing pedagogic method X from other methods Y, Z, A, B, C, . . . Consistent with:

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Percy Bridgman’s

“The true meaning of a term is found by observing what a man does with it, not what he says about it. . . . . .I believe that many of the questions asked about social and philosophical subjects will be found meaningless when examined from the point of view of operations. It would doubtless conduce greatly to clarity of thought if the operational mode of thinking were adopted in all modes of inquiry.” Percy Bridgman (1960) Not far from the Logical Positivist credo: “A statement is held to be literally meaningful only if it is either analytic or empirically verifiable.” Alfred Jules Ayer (2001)

WAIT! WAIT!! ANTI-POSITIVIST VIGILANTES - HOLD YOUR FIRE!!!

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D.C. Phillips Social Scientist's Bestiary “Nowadays, the term positivist is widely used as a generalized term of abuse. As a literal designator it ceased to have any useful function – those philosophers to whom the term accurately applies have long since shuffled off this mortal coil, while any living social scientists who either bandy the term around or are the recipients of it as an abusive label are so confused about what it means that, while the word is full of sound and fury, it signifies nothing.

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THE ANTIPOSITIVIST VIGILANTES who realize nothing of this, still claim to see positivists everywhere. (When one is confused or suffering from delirium, it is possible to see anything.) Displaying what often amounts to an embarrassing degree of philosophical illiteracy, the vigilantes rarely bother to distinguish between classical (or Comtean) positivists . . . . [[see, e.g., <http://en.wikipedia.org/wiki/Auguste_Comte>]]. . . ., on the one hand, and the more nefarious logical positivists, on the other. . . .[[see e.g., <http://en.wikipedia.org/wiki/Logical_positivism>]]. . . .Furthermore, they use a number of faulty criteria, either singly or in combination, to identify their illusory foe. The general fantasy is that anyone who is impressed by the sciences as a pinnacle of achievement of human knowledge, anyone who uses statistics or numerical data, anyone who believes that hypotheses need to be substantially warranted, anyone who is a realist (another unanalyzed but clearly derogatory word) is thereby a positivist.” D.C. Phillips (2000, p. 157)

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II. Failure to Employ Operational Definitions For Pedagogical Terms Threatens the Teaching Art – Examples:

A. "The equivalence of learning paths in early science instruction: effects of direct instruction and discovery learning" [Klahr & Nigam (2004)].

David Klahr MilenaNigam Juniei Li David Klahr and Milena Nigam (2004) demonstrated the superiority of what they defined as direct to what they defined as discovery learning. Although they were careful to operationally define their own very restricted meanings of direct instruction [“the goals, the materials, the examples, the explanations, and the pace of instruction were all teacher controlled”] and discovery learning” [“no teacher intervention beyond the suggestion of a learning objective; no guiding questions; no feedback about the quality of the child’s selection of materials, explorations, or self-assessments”] their paper was widely presented in the media in ways that could be interpreted to imply that direct instruction in all its various forms was superior to discovery learning in all its various forms. For example:

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Rachel Adelson (2004) wrote in the American Psychological Association’s Monitor On Psychology: “In science, how is critical thinking best taught? This question may be answered. . . . [by Klahr & Nigam, who]. . . . have new evidence that direct instruction - explicit teaching about how to design unconfounded experiments - most effectively helps elementary school students transfer their mastery of this important aspect of the scientific method from one experiment to another.” Sean Cavanagh (2004) wrote in Education Week: “The National Research Council is conducting a series of studies aimed at exploring topics such as the role of the laboratory in science classrooms and how states should assess students' knowledge in the subject. That renewed interest was also obvious with the release of a widely distributed study conducted by researchers at Carnegie Mellon University and the University of Pittsburgh, which was detailed at a national science “summit” sponsored by the U.S. Department of Education earlier this year. The study found that students taught through direct instruction were more likely on average to become “experts” in designing scientific experiments - an important step in the development of scientific-reasoning skills - than those taught through what is often called discovery learning. “ [My italics.] Sharon Begley (2004a) wrote in the Wall Street Journal: “It is conventional wisdom in science education. . . . that the best way to give K-12 students a deep and enduring understanding is through discovery learning . . . . . the teacher gives the kids a goal and the requisite materials and then tells them to go to it, with the hope that they will uncover principles such as Newton's laws of motion. In contrast, using direct instruction, teachers explicitly present information to students. ‘The idea is that students who acquire knowledge on their own can apply it more broadly and extend it better than if they are told or shown that same knowledge,’ says David Klahr of Carnegie Mellon University in Pittsburgh. To test this claim, he and a colleague compared how well the approaches taught 112 third- and fourth-graders a core scientific concept: To discover how one thing affects another, change only one variable at a time. . . . . . Students receiving direct instruction were explicitly told to change one property at a time and were given explanations. The discovery learners got neither. In both cases, the kids worked

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with ramps and balls, so everyone did hands-on science. The result: Not only did more kids master the control-of-variables lesson from direct instruction, but -- and this strikes at the heart of the claims for discovery learning -- the latter approach did not give kids a deeper, more enduring knowledge.” The American Association for the Advancement of Science in its AAAS EurekAlert (1998) stated: “Carnegie Mellon Researchers Say Direct Instruction, Rather Than ‘Discovery Learning’ Is Best Way To Teach Process Skills In Science: Direct instruction using the Control of Variables Strategy, rather than discovery learning, may be the best way to teach young children about science, says a Carnegie Mellon psychologist who is conducting a four-year field study in public schools in Pittsburgh, Pa. The field study could lead to a new kind of science curriculum for elementary schools.” It is ironic that the above sensational heading of the AAAS announcement, trumpeting the research of the pro-hands-on Klahr & Nigam (2004), merited a link on the virulently anti-reform Mathematically Correct Science Center website [MCSC (2008)], next to a link to the anti-hands-on testimony of California Curriculum Committee leader Stan Metzenberg (1998) before the U.S. House of Representatives.

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In “Will the No Child Left Behind Act Promote Direct Instruction of Science?” [Hake (2005)]. I listed the widespread misinterpretation (see above) of Klahr & Nigam (2004), as one of the seven reasons why direct science instruction (in the passive-student sense – see below) might dominate K-12 science education under the aegis of the “No Child Left Behind Act.”

Scholars at a Lecture [William Hogarth (1822)]

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Klahr & Li (2005), disturbed by the above reports, lamented [my insert at “. . . . .[[insert]]. . . .”; my bold text]: “Because of. . . . [[media reports such as the above]]. . . ..others are concerned that our findings may be used to ‘conclude that direct instruction is the best way to teach science’ [Tweed (2004)], to promote lecture-based passive learning ‘Stand and deliver . . . or let them discover?’. . . .[District Administration (2004)]. . . ., and to equate our specification of discovery learning with the more moderate (and presumably, more often used) versions of guided or scaffolded inquiry. . . . . we share the concern that our findings may be misinterpreted as evidence to promote one method over another for science education as a whole.. . . we are (now!) mindful of the way in which our results can be used to support or attack specific aspects of science education practice and policy. . . . . . .we may have muddied the interpretation of our findings by incorporating popular terminology like direct instruction and discovery learning into articles and public presentations of. . . . [Klahr & Nigam (2004)]. Only when we tuned in to the recent political debate in California about the permissible amounts of hands-on science vs. direct instruction . . . . . . [[Strauss (2004); Hake (2004, 2005); Woolf (2005)]]. . . . . . did we become fully aware of how easy it is for someone to pick up a terminology, and imbue it with whatever meaning suits the purpose of an argument. . . . . . One thing is clear from all of this: it is essential for the field of education to make much more precise use of terminology before moving on to public debates and policy decisions. Indeed, it is surprising that when education researchers and science educators join in heated debates about discovery learning, direct instruction, inquiry, hands-on, or minds-on, they usually abandon one of the foundations of science - the operational definition. The field of science cannot advance without clear, unambiguous, operationally defined, and replicable procedures. Education science is no exception.”

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Then Kirschner, Sweller, & Clark (2006)

Paul Kirschner John Sweller Richard Clark

added fuel to their direct-instruction-celebration bonfire (while at the same time incinerating a straw man which they called minimal guidance with:

B. “Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching.” [My italics.] [Kirschner, Sweller, & Clark (2006)]

and fanned the fire by proclaiming Klahr & Nigam’s endorsement of direct instruction with this passage: “Klahr and Nigam (2004) in a very important study, not only tested whether science learners learned more via a discovery versus direct instruction route but also, once learning had occurred, whether the quality of learning differed. Specifically, they tested whether those who had learned through discovery were better able to transfer their learning to new contexts. The findings were unambiguous. Direct instruction involving considerable guidance, including examples, resulted in vastly more learning than discovery. . . . . [my emphasis]. . . . . Those relatively few students who learned via discovery showed no signs of superior quality of learning.”

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More generally Kirschner, Sweller, & Clark’s (KSC’s) abstract sets forth their thesis [my bold text]: ******************************************* ABSTRACT: Evidence for the superiority of guided instruction is explained in the context of our knowledge of human cognitive architecture, expert–novice differences, and cognitive load. Although un-guided or minimally guided instructional approaches are very popular and intuitively appealing, the point is made that these approaches ignore both the structures that constitute human cognitive architecture and evidence from empirical studies over the past half-century that consistently indicate that minimally guided instruction is less effective and less efficient than instructional approaches that place a strong emphasis on guidance of the student learning process. The advantage of guidance begins to recede only when learners have sufficiently high prior knowledge to provide “internal” guidance. Recent developments in instructional research and instructional design models that support guidance during instruction are briefly described. ******************************************* The above abstract, together with their provocative and seemingly non sequitur title “Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching,” suggests that KSC regard all constructivist, discovery, problem-based, experiential, and inquiry-based teaching as (a) “un-guided or minimally guided,” and (b) “failures.”

On the other hand, critics of KSC – see e.g., Part II “The Evidence for Constructivism” in Tobias & Duffy (2009), Hmelo-Silver et al. (2007), Schmidt et al. (2007) - point out that these methods are generally neither: (a) “un-guided or minimally guided,” nor (b) “failures.”

I agree with the KSC critics.

In my opinion, KSC are incinerating a Straw Man:

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KSC’s Un-guided or Minimally Guided Straw Man

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III. Epilogue As an Epilogue I have lifted a few sentences from Thomas Duffy’s (2009) “Building Lines of Communication and a Research Agenda” in:

Sigmund Tobias Thomas Duffy Constructivist Instruction: Success or Failure?

Therein Duffy wrote (my bold and italic text; my insert at “. . . .[[insert]]. . . .”): “Constructivism and the Design of Instruction: Success or Failure? That was the question underlying this volume. The not-so-surprising answer seems to be that success – or failure – is in the eye of the beholder. . . . . .[[unfortunately, Tobias and Duffy and most of the “beholders” who contributed to Tobias & Duffy (2009) appear to be either oblivious or dismissive of education research in STEM (Science, Technology, Engineering, & Mathematics) disciplines – see e.g., DeHaan (2005), Hake (1998a,b; 2002; 2008b), Heron & Meltzer (2005), Kelly et al. (2008), Klymkowsky et al. (2003), Michael (2006), Millis (2010), National Academies (2008), Nelson (2010), and Wood & Gentile (2003)]]. . . . the constructivist authors have argued consistently that guidance is essential; that it is simply a matter of the context of the guidance. And in an examination of the research described in the chapters and in the key journals, e.g., The Journal of the Learning Sciences. . .[[in my opinion, more "key" for STEM disciplines are: e.g., Am. J. Phys. <http://bit.ly/d7xaDk> ; J. Chem. Ed. < http://bit.ly/bwYYwJ>; J. Eng. Ed. <http://bit.ly/aW9epX>; Life Science Ed. < http://bit.ly/bmKAKL>; and Phys. Rev. Special Topics PER <http://bit.ly/9bCkUm>]]. . . . find numerous studies where there is considerable guidance, even direct instruction [Schwartz, Lindgren, & Lewis (2009)], and an emphasis on the need for a consistent structure (guidance) not only in the immediate instructional context but in the larger schooling context in which the instruction occurs [Herman & Gomez (2009), Duschl & Duncan (2009), Kolodner et al. (2003)].

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INDEED THERE ARE NO STUDIES DESCRIBED IN THIS VOLUME WHERE GUIDANCE IS ABSENT. The constructivists have their own myopic view, seemingly adverse to talking about mechanisms, in particular, information-processing mechanisms, that may underlie the effectiveness of guidance or scaffolding. As a consequence, the rationale for guidance and the prescription for guidance remains ill-defined. Klahr (2009) quite reasonably, calls for an operational definition of the various constructivist instructional models – definitions that would identify the key variables. I can understand the frustration of Klahr and the misinterpretation of . . . .[[Hey- Duffy! it’s by not of !!]]. . . . Kirschner (2009), Sweller (2009), and Mayer (2009) when the constructivist instructional approach is so ill-defined. Indeed, perhaps the constructivists should design a learning environment to support learning about constructivism – certainly an ill-structured problem.” A possible theme for the Physics Education Research Conference in 2011 (PERC 2011)?

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References [URL's shortened by <http://bit.ly/> and <http://tinyurl.com/>; all URL’s accessed on 29-30 July 2010. ] AAAS EurekAlert. 1998. “Carnegie Mellon Researchers Say Direct Instruction, Rather Than ‘Discovery Learning’ Is Best Way To Teach Process Skills In Science,” 13 February; online at <http://www.eurekalert.org/pub_releases/1998-02/CMU-CMRS-130298.php>. Adelson, R. 2004. “Instruction versus exploration in science learning: Recent psychological research calls ‘discovery learning’ into question,” Monitor On Psychology 35(6): 34; online at <http://www.apa.org/monitor/jun04/instruct.html>. Ayer, A.J. 2001. Language, Truth, and Logic. Penguin Classics. Amazon.com information at <http://amzn.to/dzbxuG>. First published in 1936. A Wikipedia entry on Ayer is at <http://en.wikipedia.org/wiki/A_J_Ayer>. Begley, S. 2004a. “The Best Ways to Make Schoolchildren Learn? We Just Don't Know,” Wall Street Journal, 10 December, page B1; online <http://tinyurl.com/yptcyn>, scroll to the APPENDIX. See also Begley (2004b). Begley, S. 2004b. "To Improve Education, We Need Clinical Trials To Show What Works," Wall Street Journal, 17 December, page B1; online at <http://tinyurl.com/29phnb>, scroll to the APPENDIX. Bridgman, P.W. 1960. Logic of Modern Physics. Macmillan. Amazon.com information at <http://amzn.to/bCDJZM>. First published in 1927. A Wikipedia entry on Bridgman is at <http://en.wikipedia.org/wiki/Percy_Bridgman>. Cavanagh, S. 2004. ““NCLB Could Alter Science Teaching,’ Education Week 24(11): 1, 12-13, November 10; online at <http://tinyurl.com/2n4mrd>, scroll to the APPENDIX. Chen, Z. & D. Klahr, 1999. “All other things being equal: Children’s acquisition of the control of variables strategy.” Child Development 70: 10981120; online as a 932 kB pdf at <http://tinyurl.com/25q8ux>.

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DeHaan, R.L. 2005. "The Impending Revolution in Undergraduate Science Education," Journal of Science Education and Technology 14(2): 253-269; abstract online at <http://tinyurl.com/ymwwe3>. DeHaan wrote: “There is substantial evidence that scientific teaching in the sciences, i.e., teaching that employs instructional strategies that encourage undergraduates to become actively engaged in their own learning, can produce levels of understanding, retention and transfer of knowledge that are greater than those resulting from traditional lecture/lab classes. But widespread acceptance by university faculty of new pedagogies and curricular materials still lies in the future.” District Administration. 2004. “Stand and deliver . . . or let them discover?” DistrictAdministration 40(11): 59, November; online at <http://bit.ly/aEERDT> (scoll down). Amazon.com, in apparent violation of copyright, SELLS this article for $5.95 at <http://amzn.to/ctaqLZ>! Duffy, T.M. 2009. “Building Lines of Communication and a Research Agenda,” in Tobias & Duffy (2009), pp. 351-367. Duschl, R.A. & R.G. Duncan. 2009. “Beyond the Fringe: Building and Evaluating Scientific Knowledge Systems,” in Tobias & Duffy (2009), pp. 311-332. Hake, R.R. 1998a. “Interactive-engagement vs traditional methods: A six thousand- student survey of mechanics test data for introductory physics courses,” Am. J. Phys. 66(1): 64-74; online at <http://tinyurl.com/3xuyqe> (84 kB). As indicated in Hake (2008b), subsequent research of many other investigators is consistent with the results of this work: a two-standard-deviation superiority in pre-to-posttest average normalized gains <g> of heavily guided, constructivist-like, “interactive engagement” (IE) methods over “traditional” (T) passive-student methods in introductory mechanics courses, where both IE and T methods are operationally defined in Hake (1998a). Hake, R.R. 1998b. “Interactive- engagement methods in introductory mechanics courses,” online at <http://tinyurl.com/2tg5d9> (108 kB) - a crucial companion paper to Hake (1998a). Hake, R.R. 2002. "Lessons from the physics education reform effort," Ecology and Society 5(2): 28; online at <http://www.ecologyandsociety.org/vol5/iss2/art28/>. Hake, R.R. 2004. “Direct Science Instruction Suffers a Setback in California - Or Does It?” AAPT Announcer 34(2): 177; online as a 420 kB pdf at <http://bit.ly/aWsazm>. A 132 kB pdf version of the slides shown at the meeting is also available at <http://bit.ly/d40ksO>.

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Hake, R.R. 2005.“Will the No Child Left Behind Act Promote Direct Instruction of Science” Am. Phys. Soc. 50: 851; online at <http://tinyurl.com/3x85l5> (256 kB). Hake, R.R. 2008a. “Language Ambiguities in Education Research,” submitted to the Journal of Learning Sciences on 21 August but rejected – proof positive of an exemplary article; online at <http://bit.ly/bHTebD> and as ref. 54 at <http://www.physics.indiana.edu/~hake>. David Klahr <http://en.wikipedia.org/wiki/David_Klahr> wrote to me privately (quoted by permission): “I liked the paper. I think it's very thoughtful and nuanced. However it is tough going, even for someone as familiar with the issues (and as favorably cited by you) as I am. It's a shame that it was rejected, but I wonder if the reviewer just wasn't up to the very careful reading necessary to really follow your arguments all the way through. Even though I know this area quite well, obviously, I did have to really focus to fully understand the distinctions you were making.” Hake, R.R. 2008b. “Design-Based Research in Physics Education Research: A Review,” in Kelly, Lesh, & Baek (2008; pp. 493-508). A pre-publication version of Hake's chapter is online at <http://www.physics.indiana.edu/~hake/DBR-Physics3.pdf> (1.1 MB). Hake, R.R. 2010a. “Helping Students to Think Like Physicists in Socratic Dialogue Inducing Labs,” submitted on 28 June 2010 to the Physics Education Research Conference; Portland, OR; 21-22 July; online as reference 59 at <http://www.physics.indiana.edu/~hake/>. Hake, R.R. 2010b. “Education Research Employing Operational Definitions Can Enhance the Teaching Art," invited talk, Portland AAPT meeting, 19 July; online as reference 60 at <http://www.physics.indiana.edu/~hake/>. Halloun, I. & Hestenes, D. 1985a. “The initial knowledge state of college physics,” Am. J. Phys. 53(11): 1043-1055; online at <http://modeling.asu.edu/R&E/Research.html>. ABSTRACT: “An instrument to assess the basic knowledge state of students taking a first course in physics has been designed and validated. Measurements with the instrument show that the student's initial qualitative, common sense beliefs about motion and causes has a large effect on performance in physics, but conventional instruction induces only a small change in those beliefs.” Contains the “Mechanics Diagnostic” test (omitted from the online version), precursor to the widely used “Force Concept Inventory” [Hestenes et al. (1992), Halloun et al.(1995)]. Halloun, I. & D. Hestenes. 1985b. “Common sense concepts about motion,” Am. J. Phys. 53(11): 1056-1065; online at <http://modeling.asu.edu/R&E/Research.html>. ABSTRACT: “Common sense beliefs of college students about motion and its causes are surveyed and analyzed. A taxonomy of common sense concepts which conflict with Newtonian theory is developed as a guide to instruction.”

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Halloun, I., R.R. Hake, E.P. Mosca, & D. Hestenes. 1995. "Force Concept Inventory (Revised)," online (password protected) at <http://modeling.asu.edu/R&E/Research.html>, scroll down to "Evaluation Instruments." Currently available in 19 languages: Arabic, Chinese, Czech, English, Finnish, French, French (Canadian), German, Greek, Italian, Japanese, Malaysian, Persian, Portuguese, Russian, Spanish, Slovak, Swedish, & Turkish. Hmelo-Silver, C.E., R.G. Duncan, and C.A. Chinn. 2007. “Scaffolding and Achievement in Problem-Based and Inquiry Learning: A Response to Kirschner, Sweller, and Clark (2006),” Educational Psychologist 42(2): 99-107; online as a 96 kB pdf at <http://tinyurl.com/2zy783>. Herman, P. & L.M. Gomez. 2009. “Taking Guided Learning to School: Reconciling the Cognitive, Motivational, and Social Contexts of Instruction,” in Tobias & Duffy (2009), pp. 62-81. Heron, P.R.L. & D. Meltzer. 2005. "The future of physics education research: Intellectual challenges and practical concerns," Am. J. Phys. 73(5): 390-394; online as a 56 kB pdf at <http://bit.ly/axznvY> (56 kB). Hestenes, D., M. Wells and G. Swackhamer. 1992. Force Concept Inventory, Phys. Teach. 30, 141; online (but without the test itself) at <http://modeling.asu.edu/R&E/Research.html>, Tables I and II, revised for the 1995 version [Halloun et al. (2005)] are online at <http://modeling.asu.edu/R&E/Research.html>, directly below the first reference under "Articles about the FCI." Hogarth, W. 1822. Scholars at a Lecture, online at <http://bit.ly/bVs5Ti>.

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Holton, G. & S.G. Brush. 2001. Physics the Human Adventure: From Copernicus to Einstein and Beyond. Rutgers University Press, publisher’s information at <http://bit.ly/bqG4p7>. Amazon.com information at <http://amzn.to/9air1r>, note the searchable “Look Inside” feature. A Google “book preview” is online at <http://tinyurl.com/2nfts6>. Operational definitions are discussed in Chapter 12 “On the Nature of Concepts.” Holton and Brush add this clarification to their discussion of operational definitions: ”It is necessary to enter here a warning against carrying this mode of thinking too far. Rigorous application of operationalism can be and in fact has been used to attack speculations that may well develop and turn out to be fruitful after all. For example, at the end of the nineteenth century the physicist Ernst Mach argued that the atom is a physically meaningless concept, because there was at that time no way to observe or measure its discrete individual properties. Nevertheless, atomic theories being developed in those years . . . . . were to be of great value to science even though the atom at that time had to be defined in terms of observable physical and chemical interactions rather than in terms of measurable dimensions. Another attempt to distinguish between scientific and nom-scientific statements was made by Karl Popper. . . . .[[<http://en.wikipedia.org/wiki/Karl_Popper>]] . . . . . in his influential The Logic of Scientific Discovery [Popper (1934)]. Basing himself on his principle that science proceeds by making bold conjectures and attempting to refute them (Section 3.1) he declared: a statement that cannot be ‘falsified’ (that is, proven to be false) by any conceivable experiment is not a scientific statement. . . . . .Popper’s criterion may be too strict, if we interpret it to mean (as Popper himself originally did) that a theory is scientific only if it leads to testable predictions about events or phenomena not yet observed. The domain of science cannot be – and in practice has not been - limited to what can be brought into a terrestrial laboratory for controlled experimentation. The falsifiability criterion has been used, quite absurdly to argue that Darwinian evolution is not a scientific theory because we cannot use it to predict what species will evolve in the future. . . . .The essential point that both Bridgman and Popper wanted to make, and which must not be obscured by any misapplications of their criteria, is that scientific concepts must eventually be connected with observations about the real world if they are to survive. . . . .[[My emphasis]]. . . .” [In my opinion, the operationally undefined and unfalsifiable “isms” in much of the education literature allow little connection with the real world of classroom teaching. Kelly, A.E., R.A. Lesh, & J.Y. Baek. 2008. Handbook of Design Research Methods in Education: Innovations in Science, Technology, Engineering, and Mathematics Learning and Teaching, Routledge. Publisher's information at <http://tinyurl.com/4eazqs>; Amazon.com information at <http://tinyurl.com/5n4vvo>. Kirschner, P.A., J. Sweller, & R.E. Clark. 2006. “Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching,” Educational Psychologist 41(2): 75-86; online at <http://bit.ly/duJVG4> (176 kB).

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Kirschner, P.A. 2009. “Epistemology or Pedagogy, That Is the Question,” in Tobias & Duffy (2009), pp. 144-157. Klahr, D. & M. Nigam. 2004. “The equivalence of learning paths in early science instruction: effects of direct instruction and discovery learning,” Psychological Science 15(10): 661-667; online as a 388 kB pdf at <http://tinyurl.com/2kho83>. See also the earlier study of Chen & Klahr (1999). Klahr, D. & J. Li. 2005. “Cognitive Research and Elementary Science Instruction: From the Laboratory, to the Classroom, and Back,” Journal of Science Education and Technology 14(2): 217-238; online as a 536 kB pdf at <http://tinyurl.com/2b62uk>. See also Klahr et al. (2007). Klahr, D., L.M. Triona, & C. Williams. 2007. “Hands on what? The relative effectiveness of physical vs. virtual materials in an engineering design project by middle school children,” Journal of Research in Science Teaching 44: 183–203; online at <http://bit.ly/cocuyJ>. Klahr, D. 2009. “ ‘To Every Thing There is a Season, and a Time to Every Purpose Under the Heavens’: What about Direct Instruction?” in Tobias & Duffy (2009), pp. 291-310; online as a 274 kB pdf at <http://bit.ly/bDrWbz>. Klymkowsky, M.W., K. Garvin-Doxas, & M. Zeilik. 2003. “Bioliteracy and Teaching Efficiency: What Biologists Can Learn from Physicists,” Cell Biology Education 2: 155-161; online at <http://www.lifescied.org/cgi/reprint/2/3/155>. Kolodner, J.L., P.J. Camp, D. Crismond, B. Fasse, J. Gray, J. Holbrook, S. Puntambekar, & M. Ryan. 2003. “Problem-based Learning Meets Case-Based Reasoning in the Middle Schools: Putting Learning by DesignTM Into Practice. Journal of Learning Sciences 12(4): 495-547; online as a 397 kB pdf at <http://bit.ly/cPJk8U>. Mayer, R.E. 2009. “Constructivism as a Theory of Learning Versus Constructivism as a Prescription for Instruction,” in Tobias & Duffy (2009), pp. 184-200. MCSC. 2008. Mathematically Correct Science Corner <http://mathematicallycorrect.com/science.htm>. This site also features the opinions of direct instruction (in the passive-student sense) champion Stan Metzenberg (1998), a leader in the California Curriculum Commission’s attempt of enforce anti-hands-on science-education in K-8.

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Metzenberg, S. 1998. Testimony before the U.S. House of Representatives; online at Mathematically Correct <http://www.mathematicallycorrect.com/>, scroll down to and click on "Science Corner" under "Site Index" and then click on (a) " Stan Metzenberg at the House Science Committee" to bring up <http://mathematicallycorrect.com/stanmetz.htm>, and (b) “Follow-Up Questions for Dr. Stan Metzenberg” to bring up <http://mathematicallycorrect.com/moremetz.htm>. Michael, J. 2006. “Where's the evidence that active learning works?” Advances in Physiology Education 30: 159-167, online at <http://tinyurl.com/ykzp7lt>. Michael wrote: “One of the most striking findings [came from comparison of the learning outcomes (as measured by the FCI and a related inventory on mechanics) from 14 traditional courses (2,084 students) and 48 courses using "interactive-engagement" (active learning) techniques (4,458 students) . . . . .[[Hake (1998a,b)]]. . . . . The results on the FCI assessment showed that students in the interactive engagement courses outperformed students in the traditional courses by 2 SDs. Similarly, students in the interactive-engagement courses outperformed students in the traditional courses on the Mechanics Baseline Test, a measure of problem-solving ability. This certainly looks like evidence that active learning works! Research in physics education is having a profound effect on the development of instructional materials.” Millis, B. ed. 2010. Cooperative Learning in Higher Education: Across the Disciplines, Across the Academy (New Pedagogies and Practices for Teaching in Higher Education), foreword by James Rhem. Stylus Publishing, publisher's information at <http://bit.ly/91pq6F>. Amazon.com information at <http://amzn.to/9tXDQr>, note the searchable "Look Inside" feature. Nelson, C. 2010. "Want Brighter, Harder Working Students? Change Pedagogies!" in Millis (2010, pp. 119-140). Nelson wrote: “Hake (1998a,b; 2002) has assembled the most impressive data set assessing the effectiveness of alternate pedagogical strategies in science. Prior work [Halloun & Hestenes (1985a,b) had produced sets of concept-focused qualitative pretests and posttests . . . . .[[see, e.g., <http://en.wikipedia.org/wiki/Concept_inventory>]]. . . .that cover central concepts from introductory physics – tests on which wrong answers are based on common student misconceptions.” National Academies. 2008. “Workshop on Linking Evidence and Promising Practices in STEM Undergraduate Education”: Commissioned Papers at <http://www7.nationalacademies.org/bose/PP_Commissioned_Papers.html>.

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Phillips, D. C. 1995. “The good, the bad, and the ugly: The many faces of constructivism,” Educational Researcher 24(7): 5-12; online to subscribers at <http://edr.sagepub.com/content/vol24/issue7>. Also reprinted with some changes and additions as Chapter 1 of Phillips (2000). Phillips, D.C. 2000. Expanded social scientist's bestiary: a guide to fabled threats to, and defenses of, naturalistic social science. Rowman & Littlefield; publisher’s information at <http://tinyurl.com/ycmlvy>. Amazon.com information at <http://amzn.to/cstR0B>. See also Phillips (1995) and Phillips & Burbules (2000). Phillips, D.C. & N.C. Burbules. 2000. Postpositivism and Educational Research. Rowman & Littlefield; publisher's information at <http://tinyurl.com/yncvls >. Amazon.com information <http://tinyurl.com/yelju39>. See especially "Mistaken accounts of positivism," pp. 11-14. Poincare´, H. 1905. Science and Hypothesis, Walter Scott Publishing; online at <http://bit.ly/9hVfA8> thanks to the Mead Project. Amazon.com information on a 1952 version by Dover is at <http://amzn.to/d1w47d> with a searchable “Look Inside” feature. A Wikipedia entry on Poincare´ is at <http://en.wikipedia.org/wiki/Henri_Poincaré>. Popper, K. 1934. The Logic of Scientific Discovery. A 2002 edition is available from Routledge, 2nd edition. Amazon.com information at <http://amzn.to/90LIRX>, note the searchable “Look Inside” feature. Resnick, L.B. and Hall, M.W. 1998. “Learning Organizations for Sustainable Education Reform,” Daedalus 127(4): 89-118; online at <http://ifl.lrdc.pitt.edu/ifl/index.php/resources/publications/> (scroll down). Resnick & Hall wrote: “Knowledge-based Constructivism, taken seriously, points to a position that can moderate the century-long polarity between passive drill pedagogies and child-centered discovery pedagogies.” And in the abstract of Hake (2008a) I wrote: “. . . . KSC’s conception of constructivist teaching appears limited – the ‘knowledge-based constructivism’ of Resnick & Hall is not ‘minimally guided’ and instructional methods consistent with it are not failures, as judged by the assessment literature.” Despite its relevance to the consideration of the success or failure of constructivism, my cursory searches suggest that Resnick & Hall (1998) was not cited by: (a) any of the contributors to Tobias & Duffy (2009), (b) Taber (2010a) in his review of that volume, nor (c) Phillips (2000) in his later version (Chapter 1) of Phillips (1995). Schmidt, H.G., S.M.M. Loyens, T. van Gog, & F. Paas. 2007. “Problem-Based Learning is Compatible with Human Cognitive Architecture: Commentary on Kirschner, Sweller, and Clark (2006),” Educational Psychologist 42(2): 91-97; online as a 72 kB pdf at <http://tinyurl.com/2uxf6z>.

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Schwartz, D.L., R. Lindgren, & S. Lewis. 2009. “Constructivism in an Age of Non-Constructivist Assessments,” in Tobias & Duffy (2009), pp. 34-61; a proof copy is online at <http://bit.ly/9SKEdv> as a 414 kB pdf. Strauss, V. 2004. “Back to Basics vs. Hands-On Instruction: California Rethinks Science Labs,” Washington Post, Tuesday, 3 February, page A12, a “preview” is online at <http://bit.ly/9eVBrs>; the complete report may be purchased at the same URL for $3.95. Sweller, J. 2009. “What Human Cognitive Architecture Tells Us About Constructivism,” in Tobias & Duffy (2009), pp. 127-143. Taber, K.S. 2010a. “Constructivism and Direct Instruction as Competing Instructional Paradigms: An Essay Review of Tobias & Duffy (2009)” Education Review 13(8); online at <http://www.edrev.info/essays/v13n8index.html>. See also Taber (2010b). Taber, K. S. 2010b. “Straw Men and False Dichotomies: Overcoming Philosophical Confusion in Chemical Education,” Journal of Chemical Education 87(5): 552-558. An abstract is online at <http://pubs.acs.org/doi/abs/10.1021/ed8001623>. Tobias, Sigmund & T.M. Duffy, eds. 2009. "Constructivist Instruction: Success or Failure?" Routledge; foreword by Robert Sternberg; publisher's information at <http://tinyurl.com/y9xpear>. Amazon.com information at <http://amzn.to/dDiCUI>; note the searchable “Look Inside” feature. For a severely truncated version see the Google Book preview at <http://tinyurl.com/yaffdma>. For a review see Taber (2010a). Tweed, A. 2004. “Direct Instruction: Is It the Most Effective Science Teaching Strategy” NSTA Reports, 15 December; response to Cavanagh (2004); online at <http://tinyurl.com/3a63x5>, scroll to the APPENDIX. At the time, Tweed was the president of the National Science Teachers Association (NSTA). Wood, W.B., & J.M. Gentile. 2003. "Teaching in a research context," Science 302: 1510; 28 November; a summary is online at <http://bit.ly/9qGR6m>. Wood & Gentile wrote: “Physics educators have led the way in developing and using objective tests to compare student learning gains in different types of courses, and chemists, biologists, and others are now developing similar instruments. These tests provide convincing evidence that students assimilate new knowledge more effectively in courses including active, inquiry-based, and collaborative learning, assisted by information technology, than in traditional courses.” Woolf, L. 2005. “California Political Science Education,” APS Forum on Education Newsletter, Summer; online at <http://bit.ly/axrC00>.