Procedural knowledge: Difference between revisions

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{{Short description|AbilityKnowledge of how to doperform a somethingtask}}

{{Redirect|Street smarts|the game show|Street Smarts}}

'''Procedural knowledge''' (also known as '''know-how''', '''knowing-how''', and sometimes referred to as '''practical knowledge''', '''imperative knowledge''', or '''performative knowledge''')<ref>{{Cite book|title=The First-Person Point of View|last=Carl|first=Wolfgang|publisher=Walter de Gruyter|year=2014|isbn=9783110362855|pages=147}}</ref> is the knowledge exercised in the performance of some task. Unlike [[descriptive knowledge]] (also known as declarative knowledge, propositional knowledge or "knowing-that"), which involves knowledge of specific facts or propositions (e.g. "I know that snow is white"), in other words facts that can be expressed using [[declarative sentence]]s, procedural knowledge involves one's ability to ''do'' something (e.g. "I know how to change a flat tire"). A person doesn'tdoes not need to be able to verbally articulate their procedural knowledge in order for it to count as knowledge analyst system defferent working '''technical informatics the cabel system installing networking and technical electronics the symbol tombol componen [led] electronic digital (devices)''' 'karir business.site' swasta, luar Negri the indonesian, since procedural knowledge requires only knowing how to correctly perform an action or exercise a skill.<ref name=SEP>{{cite web |title=Knowledge How |url=https://plato.stanford.edu/entries/knowledge-how/ |website=Stanford Encyclopedia of Philosophy |access-date=14 June 2020}}</ref><ref name="Stanley 2001 411–444">{{Cite journal|last1=Stanley|first1=Jason|last2=Williamson|first2=Timothy|date=2001|title=Knowing How|journal=The Journal of Philosophy|volume=98|issue=8|pages=411–444|doi=10.2307/2678403|jstor=2678403}}</ref>

The term ''procedural knowledge'' has narrower but related technical uses in both [[cognitive psychology]] and [[intellectual property|intellectual property law]].

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The distinction between knowing-how and knowing-that was brought to prominence in [[epistemology]] by [[Gilbert Ryle]] who used it in his book ''[[The Concept of Mind]]''.<ref name="Stanley 2001 411–444"/>

Know-how is also often referred to in [[Plain English|layman's terms]] as '''street smarts''' (sometimes conceived as the opposite of [[wikt:book smart|book smart]]s), and a person employing their street smarts as ''street wise''. Know-how is often [[tacit knowledge]], which means that it can be difficult to transfer to another person by means of writing it down or verbalising it. The opposite of tacit knowledge is [[explicit knowledge]].

== Definition ==

Procedural knowledge is the "know how" attributed to technology defined by cognitive psychologists, which is simply "know how to do it" knowledge. Part of the complexity of it comes in trying to link it to terms such as ''process'', ''problem solving'', ''strategic thinking'' and the like, which in turn requires distinguishing different levels of procedure.<ref>{{Cite journal|last=McCormick|first=Robert|date=1997-01-01|title=Conceptual and Procedural Knowledge|url=https://doi.org/10.1023/A:1008819912213|journal=International Journal of Technology and Design Education|language=en|volume=7|issue=1|pages=141–159|doi=10.1023/A:1008819912213|issn=1573-1804|url-access=subscription}}</ref> It is the ability to execute action sequences to solve problems. This type of knowledge is tied to specific problem types and therefore is not widely generalizable.<ref>{{Cite journal|last1=Rittle-Johnson|first1=Bethany|last2=Siegler|first2=Robert S.|last3=Alibali|first3=Martha Wagner|date=2001|title=Developing conceptual understanding and procedural skill in mathematics: An iterative process.|url=http://dx.doi.org/10.1037/0022-0663.93.2.346|journal=Journal of Educational Psychology|volume=93|issue=2|pages=346–362|doi=10.1037/0022-0663.93.2.346|issn=1939-2176|url-access=subscription}}</ref> Procedural knowledge is goal-oriented and mediates problem-solving behavior.<ref>{{Cite journal|last1=Corbett|first1=Albert T.|last2=Anderson|first2=John R.|date=1995|title=Knowledge tracing: Modeling the acquisition of procedural knowledge|url=http://dx.doi.org/10.1007/bf01099821|journal=User Modeling and User-Adapted Interaction|volume=4|issue=4|pages=253–278|doi=10.1007/bf01099821|s2cid=19228797 |issn=0924-1868|url-access=subscription}}</ref>

The concept of procedural knowledge is also widely used in mathematics educational researches. The well-influential definition of procedural knowledge in this ___domain comes from the introductory chapter by Hiebert and Lefevre (1986) of the seminal book "Conceptual and procedural knowledge: The case of mathematics", in which they divided procedural knowledge into two categories. The first one is a familiarity with the individual symbols of the system and with the syntactic conventions for acceptable configurations of symbols. The second one consists of rules or procedures of solving mathematical problems. In other words, they define procedural knowledge as knowledge of the syntax, steps conventions and rules for manipulating symbols.<ref name=":0">{{Cite book|last=Hiebert|first=James|title=Conceptual and procedural knowledge: The case of mathematics.}}</ref> Many of the procedures that students possess probably are chains of prescriptions for manipulating symbols. In their definition, procedural knowledge includes algorithms, which means if one executes the procedural steps in a predetermined order and without errors, one is guaranteed to get the solutions, but not includes heuristics, which are abstract, sophisticated and deep procedures knowledge that are tremendously powerful assets in problem solving. <ref>{{Cite journal|last=Schoenfeld|first=Alan H.|date=1979|title=Explicit Heuristic Training as a Variable in Problem-Solving Performance|url=http://dx.doi.org/10.2307/748805|journal=Journal for Research in Mathematics Education|volume=10|issue=3|pages=173–187|doi=10.2307/748805|jstor=748805 |issn=0021-8251|url-access=subscription}}</ref> Therefore, Star (2005) proposed a reconceptualization of procedural knowledge, suggesting that it can be either superficial, like ones mentioned in Hiebert and Lefevre (1986), or deep.<ref name=":1">{{Cite journal|last=Star|first=Jon R.|date=2005|title=Reconceptualizing Procedural Knowledge|journal=Journal for Research in Mathematics Education|volume=36|issue=5|pages=404–411|doi=10.2307/30034943|jstor=30034943 |issn=0021-8251|doi-access=free}}</ref><ref name=":0" /> Deep procedural knowledge is associated with comprehension, flexibility and critical judgement. For example, the goals and subgoals of steps, the environment or type of situation for certain procedure, and the constraints imposed upon the procedure by the environment.<ref>{{Cite book|title=The Development of Mathematical Thinking|year=1983|pages=253–290}}</ref> Research on procedural flexibility development indicates flexibility as an indicator for deep procedural knowledge. Individuals with superficial procedural knowledge can only use standard technique, which might lead to low efficiency solutions and probably inability to solve novel questions. However, more flexible solvers, with a deep procedural knowledge, can navigate their way through ___domain, using techniques other than ones that are over-practiced, and find the best match solutions for different conditions and goals. <ref>{{Cite book|last=Star|first=Jon R.|url=https://eric.ed.gov/?id=ED471762|title=Re-Conceptualizing Procedural Knowledge: The Emergence of "Intelligent" Performances among Equation Solvers|date=2002|publisher=ERIC/CSMEE Publications, 1929 Kenny Road, Columbus, OH 43210-1080|language=en}}</ref><ref name=":1" /><ref>Star, J. R. (2013). {{Citation|title=On the Relationship Between Knowing and Doing in Procedural Learning|date=2013-04-15|url=http://dx.doi.org/10.4324/9780203763865-22|work=International Conference of the Learning Sciences|pages=92–98|publisher=Psychology Press|doi=10.4324/9780203763865-22 |isbn=978-0-203-76386-5|s2cid=9793860 |access-date=2020-12-08}}</ref>

== Development ==

The development of procedural knowledge is always entangled with the development of [[declarative knowledge]]. Researchers suggested that initial problem solving involves explicitly referring to examples, and participants start with pure example-based processing.<ref>{{Cite journal|last1=Anderson|first1=John R.|last2=Fincham|first2=Jon M.|date=1994|title=Acquisition of procedural skills from examples.|url=http://dx.doi.org/10.1037/0278-7393.20.6.1322|journal=Journal of Experimental Psychology: Learning, Memory, and Cognition|volume=20|issue=6|pages=1322–1340|doi=10.1037/0278-7393.20.6.1322|pmid=7983466 |issn=1939-1285|url-access=subscription}}</ref><ref name=":2">{{Cite journal|last1=Anderson|first1=John R.|last2=Fincham|first2=Jon M.|last3=Douglass|first3=Scott|date=1997|title=The role of examples and rules in the acquisition of a cognitive skill.|url=http://dx.doi.org/10.1037/0278-7393.23.4.932|journal=Journal of Experimental Psychology: Learning, Memory, and Cognition|volume=23|issue=4|pages=932–945|doi=10.1037/0278-7393.23.4.932|pmid=9231437 |issn=1939-1285|url-access=subscription}}</ref> The examples illustrate the solution of a similar problem and the problem solver analogically maps the solution of the example onto a solution for the current problem. People make extensive reference to examples even when they are initially taught the rules and principles.<ref>{{Cite journal|last1=Ross|first1=Brian H.|last2=Kennedy|first2=Patrick T.|date=1990|title=Generalizing from the use of earlier examples in problem solving.|url=http://dx.doi.org/10.1037/0278-7393.16.1.42|journal=Journal of Experimental Psychology: Learning, Memory, and Cognition|volume=16|issue=1|pages=42–55|doi=10.1037/0278-7393.16.1.42|issn=1939-1285|url-access=subscription}}</ref> It is believed that when people acquiringacquire cognitive skills, firstlyfirst an example is encoded as a declarative structure. When participants are tested on their first problems, they have two possible ways to respond. If the example matches the problem they learned, they can simply retrieve the answer. However, if it does not match, they must analogically extend the example.<ref name=":2" /> With repeated practice, general rules develop, and the specific example is no longer accessed. In this way, knowledge transitions from a declarative form (encoding of examples) to a procedural form (productionsproduction rules), which is called the adaptive control of thought—rational (ACT-R) theory.<ref>{{Cite book|last=Anderson|first=John R.|author-link=John Robert Anderson (psychologist)|title=Rules of the Mind|publisher=Lawrence Erlbaum Associates, Inc.|year=1993|isbn=9780805812008}}</ref>

However, inon certain occasions, procedural and declarative knowledge can be acquired independently. ResearchesResearch with amnesicamnesiac patients found that they can learn motor skills without the ability to recollect the episodes in which they learned them,. The research also found that the patients learned and retained the ability to read mirror-reversed words efficiently, yet were severely impaired in recognizing those words,. whichThis giveresearch evidencesgives evidence about the neurological basis differences inbetween procedural and declarative knowledge.<ref>{{Cite journal|last=Corkin|first=Suzanne|date=1968|title=Acquisition of motor skill after bilateral medial temporal-lobe excision|url=http://dx.doi.org/10.1016/0028-3932(68)90024-9|journal=Neuropsychologia|volume=6|issue=3|pages=255–265|doi=10.1016/0028-3932(68)90024-9|issn=0028-3932|url-access=subscription}}</ref><ref>{{Cite journal|last1=Cohen|first1=N.|last2=Squire|first2=L.|date=1980-10-10|title=Preserved learning and retention of pattern-analyzing skill in amnesia: dissociation of knowing how and knowing that|url=http://dx.doi.org/10.1126/science.7414331|journal=Science|volume=210|issue=4466|pages=207–210|doi=10.1126/science.7414331|pmid=7414331 |bibcode=1980Sci...210..207C |issn=0036-8075|url-access=subscription}}</ref> Researchers also found that some normal subjects, like amnesicamnesiac patients, showed substantial procedural learning in the absence of explicit declarative knowledge. Even though declarative knowledge may influence performance on a procedural task, procedural and declarative knowledge may be acquired separately, and one does not need to have knowledge of one type in order to build the other type of knowledge. The influence caused byof declarative knowledge mightmay be due to the facilitation toof a process of pathway activation that is outside of conscious awareness.<ref name=":3">{{Cite journal|last1=Willingham|first1=Daniel B.|last2=Nissen|first2=Mary J.|last3=Bullemer|first3=Peter|date=1989|title=On the development of procedural knowledge.|url=http://dx.doi.org/10.1037/0278-7393.15.6.1047|journal=Journal of Experimental Psychology: Learning, Memory, and Cognition|volume=15|issue=6|pages=1047–1060|doi=10.1037/0278-7393.15.6.1047|pmid=2530305 |issn=1939-1285|url-access=subscription}}</ref> If the prime is highly predictive of the target, the amount of facilitation is increased because of an active, conscious, attentional effect that is superimposed on the pathway activation.<ref>{{Cite book|last1=Posner|first1=Micheal I|title=Facilitation and inhibition in the processing of signals|last2=Snyder|first2=Charles R|pages=669–682}}</ref> Therefore, if and when subjects develop explicit declarative knowledge of procedure, they can use this knowledge to form attentional expectancies regarding the next item in this procedure.<ref name=":3" />

== Activation ==

Lashley (1951) proposed that behavioral sequences are typically controlled with central plans, and the structure of the plans is hierarchical. Some evidences also support this hypothesis. Same behaviors can have different functional interpretations depending on the context in which they occur. The same sound pattern can be interpreted differently depending on where it occurs in a sentence, for example, ''there'' and ''their''. Such contextual dependence is only possible with functionally overarching states of the sort implied by hierarchical plans. <ref>{{Cite book|last=Lashley|first=K. S.|title=The problem of serial order in behavior}}</ref> The initiation time of a movement sequence and the inter-response times of the sequence elements can increase with its length.<ref name=":4">{{Cite journal|last1=Rhodes|first1=Bradley J.|last2=Bullock|first2=Daniel|last3=Verwey|first3=Willem B.|last4=Averbeck|first4=Bruno B.|last5=Page|first5=Michael P.A.|date=2004|title=Learning and production of movement sequences: Behavioral, neurophysiological, and modeling perspectives|url=http://dx.doi.org/10.1016/j.humov.2004.10.008|journal=Human Movement Science|volume=23|issue=5|pages=699–746|doi=10.1016/j.humov.2004.10.008|pmid=15589629 |issn=0167-9457|hdl=2144/1921|s2cid=8012945 |hdl-access=free}}</ref> Further, inter-response times can depend on the size of the phrase that is about to be generated. The larger the phrase, the longer the inter-response time.<ref>{{Cite journal|last1=Collard|first1=Ren?|last2=Povel|first2=Dirk-Jan|date=1982|title=Theory of serial pattern production: Tree traversals.|url=http://dx.doi.org/10.1037/0033-295x.89.6.693|journal=Psychological Review|volume=89|issue=6|pages=693–707|doi=10.1037/0033-295x.89.6.693|issn=0033-295X|url-access=subscription}}</ref><ref>{{Cite journal|last1=Rosenbaum|first1=David A.|last2=Kenny|first2=Sandra B.|last3=Derr|first3=Marcia A.|date=1983|title=Hierarchical control of rapid movement sequences.|url=http://dx.doi.org/10.1037/0096-1523.9.1.86|journal=Journal of Experimental Psychology: Human Perception and Performance|volume=9|issue=1|pages=86–102|doi=10.1037/0096-1523.9.1.86|pmid=6220126 |issn=1939-1277|url-access=subscription}}</ref> Such data have been interpreted in terms of decoding or unpacking hierarchical plans into their constituents. Moreover, learning difficulties changes with the easiness of behavioral sequences.<ref>{{Cite journal|last=Restle|first=Frank|date=1970|title=Theory of serial pattern learning: Structural trees.|url=http://dx.doi.org/10.1037/h0029964|journal=Psychological Review|volume=77|issue=6|pages=481–495|doi=10.1037/h0029964|issn=1939-1471|url-access=subscription}}</ref><ref>{{Cite journal|last=Simon|first=Herbert A.|date=1972|title=Complexity and the representation of patterned sequences of symbols.|url=http://dx.doi.org/10.1037/h0033118|journal=Psychological Review|volume=79|issue=5|pages=369–382|doi=10.1037/h0033118|issn=0033-295X|url-access=subscription}}</ref> Finally, long-term learning of skills is naturally characterized by the process of forming ever larger hierarchical units or chunks.<ref name=":4" /> People learn control structures for successively larger units of behavior, with newly learned routines calling up or relying on more elementary routines, like learning to play simple notes before being able to play a piano concerto.<ref>{{Cite journal|last1=Bryan|first1=William Lowe|last2=Harter|first2=Noble|date=1897|title=Studies in the physiology and psychology of the telegraphic language.|url=http://dx.doi.org/10.1037/h0073806|journal=Psychological Review|volume=4|issue=1|pages=27–53|doi=10.1037/h0073806|issn=0033-295X}}</ref>

As for process of behavior plan forming, Rosenhaum et al. (2007) proposed that plans are not formed from scratch for each successive movement sequence but instead are formed by making whatever changes are needed to distinguish the movement sequence to be performed next from the movement sequence that has just been performed.<ref name=":5">{{Cite journal|last1=Rosenbaum|first1=David A.|last2=Cohen|first2=Rajal G.|last3=Jax|first3=Steven A.|last4=Weiss|first4=Daniel J.|last5=van der Wel|first5=Robrecht|date=2007|title=The problem of serial order in behavior: Lashley's legacy|url=http://dx.doi.org/10.1016/j.humov.2007.04.001|journal=Human Movement Science|volume=26|issue=4|pages=525–554|doi=10.1016/j.humov.2007.04.001|pmid=17698232 |issn=0167-9457|url-access=subscription}}</ref> There are evidences found that motor planning occurs by changing features of successively needed motor plans.<ref>{{Cite journal|last1=Rosenbaum|first1=David A|last2=Weber|first2=Robert J|last3=Hazelett|first3=William M|last4=Hindorff|first4=Van|date=1986|title=The parameter remapping effect in human performance: Evidence from tongue twisters and finger fumblers|url=http://dx.doi.org/10.1016/0749-596x(86)90045-8|journal=Journal of Memory and Language|volume=25|issue=6|pages=710–725|doi=10.1016/0749-596x(86)90045-8|issn=0749-596X|url-access=subscription}}</ref> Also, Rosenhaum et al. (2007) found that even single movements appear to be controlled with hierarchically organized plans, with starting and goal postures at the top level and intermediate states comprising the transition from the starting to the goal at the lower level.<ref name=":5" />

== Interaction with conceptual knowledge ==

The most common understanding in relation to the procedural and conceptual knowledge is of the contrast of ''knowing how'' and ''knowing that''.<ref>{{Cite book|last=Ryle|first=G.|title=The concept of mind|year=1949}}</ref> Some see the distinction as a contrast between the tacit knowledge of technology and the explicit knowledge of science.<ref>{{Cite book|last1=Cross|first1=A.|title=Technology in schools: a reader|last2=McCormick|first2=R.|year=1986}}</ref> Conceptual knowledge allows us to explain why, hence the distinction of "know how" and "know why".<ref>{{Cite book|last=Plant|first=M.|title=How is science useful to technology.|year=1994}}</ref> Conceptual knowledge is concerned with relationships among items of knowledge, such that when students can identify these links, it means they have conceptual understanding. Cognitive psychologists also use the term ''declarative knowledge'' to contrast it with procedural knowledge, and define it as "knowledge of facts".<ref>{{Cite book|last=Anderson|first=J.R.|title=Cognitive psychology and its implications|year=2005}}</ref> However, declarative knowledge may be a collection of unrelated facts, whereas conceptual knowledge puts the focus on relationships.<ref>{{Cite book|last1=Heibert|first1=J.|title=Conceptual and procedural knowledge: The case of mathematics.|last2=Lefevre|first2=P.|year=1986}}</ref> Also, declarative knowledge is an inert form of knowledge which contrasted with procedural knowledge as an active form, but conceptual knowledge can be part of an active process. Therefore, it is important to know that conceptual knowledge is not simply factual knowledge but consists of ideas that give some power to thinking about technological activity.

Evidence from mathematics learning research supports the idea that conceptual understanding plays a role in generation and adoption of procedures. Children with greater conceptual understanding tend to have greater procedural skill.<ref>{{Cite journal|last1=Hiebert|first1=James|last2=Wearne|first2=Diana|date=1996|title=Instruction, Understanding, and Skill in Multidigit Addition and Subtraction|url=http://dx.doi.org/10.1207/s1532690xci1403_1|journal=Cognition and Instruction|volume=14|issue=3|pages=251–283|doi=10.1207/s1532690xci1403_1|issn=0737-0008|url-access=subscription}}</ref> Conceptual understanding precedes procedural skill.<ref>{{Cite journal|last1=Gelman|first1=Rochel|last2=Meck|first2=Elizabeth|date=1983|title=Preschoolers' counting: Principles before skill|url=http://dx.doi.org/10.1016/0010-0277(83)90014-8|journal=Cognition|volume=13|issue=3|pages=343–359|doi=10.1016/0010-0277(83)90014-8|pmid=6683141 |s2cid=5070684 |issn=0010-0277|url-access=subscription}}</ref> Instruction about concepts as well as procedures can lead to increased procedural skill.<ref>{{Cite journal|last1=Hiebert|first1=James|last2=Wearne|first2=Diana|date=1992|title=Links between Teaching and Learning Place Value with Understanding in First Grade|url=http://dx.doi.org/10.2307/749496|journal=Journal for Research in Mathematics Education|volume=23|issue=2|pages=98|doi=10.2307/749496|jstor=749496 |issn=0021-8251|url-access=subscription}}</ref> And increasing conceptual knowledge leads to procedure generation.<ref>{{Cite journal|last=Perry|first=Michelle|date=1991|title=Learning and transfer: Instructional conditions and conceptual change|url=http://dx.doi.org/10.1016/0885-2014(91)90049-j|journal=Cognitive Development|volume=6|issue=4|pages=449–468|doi=10.1016/0885-2014(91)90049-j|issn=0885-2014|hdl=2027.42/29108|hdl-access=free}}</ref><ref name=":6">{{Cite journal|last1=Rittle-Johnson|first1=Bethany|last2=Alibali|first2=Martha Wagner|date=1999|title=Conceptual and procedural knowledge of mathematics: Does one lead to the other?|url=http://dx.doi.org/10.1037/0022-0663.91.1.175|journal=Journal of Educational Psychology|volume=91|issue=1|pages=175–189|doi=10.1037/0022-0663.91.1.175|issn=0022-0663|url-access=subscription}}</ref> However, this relationship is not unidirectional. Conceptual and procedural knowledge develop iteratively, but the conceptual knowledge may have a greater influence on procedural knowledge than the reverse.<ref name=":6" /><ref>{{Cite journal|last1=Rittle-Johnson|first1=Bethany|last2=Siegler|first2=Robert S.|last3=Alibali|first3=Martha Wagner|date=2001|title=Developing conceptual understanding and procedural skill in mathematics: An iterative process.|url=http://dx.doi.org/10.1037/0022-0663.93.2.346|journal=Journal of Educational Psychology|volume=93|issue=2|pages=346–362|doi=10.1037/0022-0663.93.2.346|issn=1939-2176|url-access=subscription}}</ref> Conceptual instruction led to increased conceptual understanding and to generation and transfer of a correct procedure. Procedural instruction led to increased conceptual understanding and to adoption, but only limited transfer, of the instructed procedure.

== Technical uses of the phrase ==

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=== Employee knowledge ===

{{norefs|section|date=February 2025}}

Under [[English law]], employees have a dutyduties of [[good faith]] and [[fidelity]] until their [[termination of employment|employment ceases]], wherebywhence only the former still applies.

It is sometimes unclear what forms of "know how" that was divulged to an employee in order to carry out their functions and then becomes their own knowledge rather than a secret of their previous employer. Some employers will specify in their employment contracts that a [[grace period]] will apply to know how that starts when a person leaves them as an employee.

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* [[Normative science]]

* [[Procedural memory]]

* [[Implicit memory]]

* [[Muscle memory]]

* [[Motor learning]]

* [[Motor skill]]

* [[Process philosophy]]

* [[Scientific method]]