Instructional Theories Learning Development

An instructional theory refers to a theory that provides clear guidance on how to assist individuals learn and develop. Instructional theories center on how to design material for enhancing the education of individuals. They differ from learning theories in the sense that while learning theories explain how learning occurs, instructional theories stipulate how to assist individuals to learn.

Stated differently, instructional theories, as informed by learning theories, delineate the core teaching approaches (such as worked examples versus partial solutions, lecture versus cooperative activities, immediate versus deferred reinforcements) that may be included in a lesson. Instructional theories are usually normative and situation specific. The field of instructional science deals with understanding and improving instructional methods to make them more appealing and effective (Edgar, 2012, p. 2).

The origins of instructional theories can be traced to formative endeavors by educational psychologists to map out the link between psychology and the pragmatic application of instructional theory in education settings. John Dewey (1910) and Edward Thorndike (1913) are two important theorists who envisaged a special connection between instructional theory and educational practice (Dijkstra, Schott, Tennyson & Seel, 2012, p. 3). The connection between the philosophical perspectives and instructional theories is obvious. For instance, learning activities in a traditional classroom are centered on and controlled by the instructor, who presents the materials to be learned and prescribes the kinds of learning activities that students engage in.

Learners are expected to read and analyze the information (through homework and classroom activity) until they master it. Knowledge is regarded as a commodity to be passed from the teacher to the learner. In sum, instructional theories identify methods of instruction (ways of supporting and facilitating learning), as well as the circumstances in which the methods may or may not be used.

A Perspective on the Connection between Theory and Practice

The connection between instructional theories and pedagogical practices is made complex by a number of factors. It can be perceived that pedagogical practices should be founded on the best instructional theories available, but this relationship may not be as simple. Educational practices are likely to be informed by philosophical beliefs than by empirical evidence and theoretical discernment of learning. Learning institutions are established according to the various cultural and community beliefs and worldviews, the human nature, as well as what are to be learned. They also differ with respect to their beliefs regarding teaching and learning, although philosophical convictions frequently come first (Duffy & Jonassen, 2013, p. 17).

All instructional programs and educational systems incorporate some instructional theory, even though such theory is in most instances implied and frequently goes unnoticed. Vastly different classrooms materialize from different philosophical views. For instance, if one is of the conviction that knowledge is produced anew by each student, that a student’s mental activity decides what he or she learns, and that learning happens from engaging in authentic assignments in a social atmosphere, then the resultant classroom is likely to involve learners working on projects and learning in groups.

In this manner, the students are able to discuss how best to tackle problems or consult on the meaning of various concepts. There is a consistency between theoretical beliefs and pedagogical practices. However, the question concerning which comes first is not always clear since evidence exists that people seek out and agree to information that affirms their preexisting beliefs while rejecting those that do not conform to such beliefs.

There exists a reciprocatory link between theory and practice. A common conviction is that knowledge flows from systematic theories to the advancement of effectual practices, that effective instructional theories inform sound pedagogical practices (Leong & Austin, 2006, p. 7). However, science does not always work in such a linear manner. An examination of both social and physical sciences reveals that ideas frequently derive from observation and interrogation of naturally occurring events. Scientific theories often come from attempts to find practical solutions to problems, such as asking the question “what is the best approach of teaching the concept of osmosis?”.

Established pedagogical practices that teachers have been found to be effectual should be used as sources of ideas in coming up with a practicable instructional theory. A final caveat in comprehending the connection between theory and practice involves acknowledging that the learners are more important than the instructor in deciding the material to be learned. However, this is not to say that the teacher’s role is unimportant, only that the perceptions, previous knowledge, and beliefs of learners should dictate what and if they learn things related to the teacher’s instructional goals.

Attribution Theory

This theory deals with the manner in which individuals perceive and use information to explain events (Higgins & LaPointe, 2012, p. 1). It looks at what information is collected and how it is treated to shape a causal judgment. Heider (1958) first proposed the attribution theory, although other psychologists such as Weiner (1974) and Jones et al (1972) developed a theoretical framework that later became a key research model in social psychology. Heider offered a discourse on what he termed as “commonsense” or “naïve” psychology. According to his perspective, individuals are similar to recreational scientists, attempting to understand the behavior of other individuals by gathering and analyzing information until they obtain a reasonable cause or explanation.

Instructional Theories – Key Statements and Assumptions

Attribution theory concerns itself with how people construe events and how this construal relates to their thoughts and behaviors. The theory presumes that individuals try to determine why people behave in the manner that they do. An individual seeking to understand why other people or person behaved in a certain manner may attribute one or several causes to the behavior (Erbas, Turan, Aslan & Dunlap, 2010, p. 118). Heider proposed that individuals usually make two kinds of attributions, namely internal attribution and external attribution.

Internal attribution involves the deduction that a person is acting in a certain manner because of some inherent attribute about the individual, such as personality or attitude. Conversely, external attribution involves the assumption that a person behaves in a certain manner due to the circumstances that he or she is undergoing. Attributions are also considerably affected by motivational and emotional drives (Higgins & LaPointe, 2012, p. 3). Faulting other people and evading personal blame are existent convenient and self-serving attributions.

Instructional-Theories-Learning-Development
Instructional-Theories-Learning-Development

Individuals also tend to make attributions in defending against what they perceive as attacks. People sometimes even blame victims for their circumstances as they seek to distance themselves from thoughts and feelings of suffering the same predicament. Lastly, individuals also tend to assign less variableness to other people than themselves, viewing themselves as more versatile and less conventional compared to others.

A three-stage process forms the basis of an attribution. First, the individual must observe or perceive a behavior. Second, the individual must trust that the behavior was deliberately performed, and lastly, the individual must establish if he or she believes that the other person was coerced into performing the behavior (in such a scenario, the cause will be attributed to the circumstances) or not (where the action will be attributed to the other individual). Weiner’s attribution theory focused on achievement. He identified effort, aptitude, task complexity, and luck as essential factors that affect attribution for achievement (Higgins & LaPointe, 2012, p. 2). Attributions are categorized under three underlying dimensions, which include stability, controllability, and the locus of control (Jarvis, 2012, p. 148).

The stability dimension looks at whether causes remain constant or change with time. For example, effort may be categorized as internal and variable while aptitude may be categorized as a constant, internal cause. Conversely, controllability contrasts causes that are within the control of an individual, such as skills, from those that one is not able to control, such as mood, ability, the actions of other individuals, and luck. Lastly, the locus of control dimension is divided into two poles, which include external and internal locus of control.

Application of the Attribution Theory

Weiner’s Attribution Theory has found widespread application in various fields, including clinical psychology, law, and education. Weiner contended that causal attribution determines how people react to achievement and failure. For instance, a student is not likely to experience a sense of pride and accomplishment if he or she receives an A grade from an instructor who gives only higher grades. Conversely, a higher grade from instructors who issues few high grades is likely to lead to immense satisfaction to the student (Weiner, 1980, p. 362).

Students with higher academic achievements and high self-esteem often attribute their superior performance and achievements to internal, established, and intractable factors such as aptitude while attributing failure to internal, tractable factors such as task complexity and the level of effort. For instance, students experiencing recurring failure in numeracy are likely to consider themselves as being less proficient in arithmetic.

This self-perception of numeracy ability evidences itself in the learner’s prospects of success on numeracy tasks, as well in their thoughts on failure or success in the same tasks. Similarly, learners with learning disabilities are more likely to attribute their failure to ability, which is an intractable factor and not effort, which is more tractable.

The Elaboration Theory

This theory holds that to optimize learning, instruction should be prepared in an order of increasing complexity. For instance, when teaching procedural tasks, it is important to present the simplest adaptation of the task first. The lessons that follow should present additional adaptations until all the tasks have been taught. In all the lessons, the teacher should remind the students of all tasks taught (synthesis or summary). An important view of the Elaboration Theory is the observation that the student needs to develop a purposeful context for the assimilation of consequent skills and ideas (Nenkov, Haws & Kim, 2014, p. 769). Therefore, the Theory deals solely with organizational approaches at the macro level.

It stipulates that the instruction begin with an overview that provides knowledge of a few simple but general ideas, with the rest of the instruction presenting exhaustive ideas that expound on earlier ones. The Elaboration Theory includes three models of instruction, as well as systems from stipulating these models based on instructional goals.

Similar to other models of instruction, the three components comprise strategy components. It is imperative to note that the Elaboration Theory is not fixed, but continues to improve as studies expose weak strategy aspects that should be purged from the model and novel strategy aspects that ought to be included into the models.

The Models of the Theory

The three models of the elaboration include procedurally organized model, the conceptually organized model, as well as the theoretically organized model (Reigeluth, 2013, p. 368). A procedurally organized learning program, such as a regression analysis course, would teach the least complex and most generally applicable processes and procedures first, with the rest being taught as is necessary in attaining the same purpose but under different and more challenging conditions.

Conversely, a course in genetics may utilize a conceptually organized model where the general concepts are presented first. Lastly, a course in introductory microeconomics would probably utilize a theoretical structure where the fundamental principles (such as marginal costs, costs and opportunity costs, scarcity, rational choices, etc.) are taught first.

Application of the Elaboration Theory

The theory may be applied to the design of instruction, particularly in the cognitive domain. Instruction is more effectual when it adheres to an elaboration strategy, that is, the use of epitomes comprising analogies, motivators, syntheses, as well as summaries. For instance, nearly all economic principles may be explained as elaborations of the classic law of demand and supply, including taxation, regulation, and monopolies.

Problems with the Instructional Theories and Recommendations

Elaboration theory contends that the structure of content should be made plain and overt to learners through a number of organizers and synthesizers. This view is rather problematic in the sense that presenting learners with an outline that reflects the text structure is likely to encourage memory-level indoctrination and encumber the transfer of the memorized material to problem-solving assignments. Such likely negative outcomes of explicit teaching structure might be because of the continuous knowledge-of-result feedback that is usually characteristic of motor learning tasks. It is uncontested that learning may not occur when learners are able to decipher things effortlessly.

As it is currently constituted, the Elaboration Theory is more of an instructional design procedure than a theory. It provides precise steps for structuring instruction. Such a procedural approach presents two principal problems. First, the procedural directions prescribed beforehand often go beyond the knowledge base regarding instructional and learning processes and are frequently at variance with such knowledge and second, those tasked with designing instructions are disposed to adhere to models in a general, principle-based manner notwithstanding the procedural stipulations.

The theory should be redeveloped into a series of guiding rules that are lucidly referenced to instructional and learning processes. A rule-based formulation will permit instructional designers to adapt the theoretical constructs to a wider variety of situations.

The Component Display Theory

This theory was developed by David Merrill (1983) and delineates the microelements of instruction, that is, particular ideas and means of teaching them (Reigeluth, 2013, p. 279). The theory categorizes learning as bi-directional and comprising of content (concepts, facts, processes, principles, and procedures) and performance (memory and generalities). It identifies four principal forms of presentation, which include rules, examples, recall, and practice.

Rules refer to expositive presentation of generality while examples are expositive presentation of occasions and instances (Duncan & Goddard, 2011, p. 80). Conversely, recall is inquisitory or probing generality while practice refers to probing instances. The Component Display Theory also includes secondary presentation forms, which include goals, mnemonics, preconditions, as well as feedback. The theory stipulates that instruction is only effective as long as it contains all essential primary and secondary forms. Therefore, a comprehensive lesson would comprise of a goal, followed by a permutation of rules, examples, practice, mnemonics, recall, and feedback that are task-specific and appropriate.

CDT further proposes that for a given goal and student, there exists a distinctive combination of the various forms of presentation that leads to the most effectual and successful learning experience. In addition, a number of assumptions underlie the Component Display Theory. While there are several varieties of memory, the theory holds that algorithmic and associative memory structures have direct connections to the performance aspects of Find/Use and remember correspondingly. While algorithmic memory is made up of outlines or rules, associative memory consists of successive levels of network structure. The differentiation between the Find and Use performances lies in the use of extant rules in processing inputs compared to forming new rules through the restructuring of existing ones.

Application of the CDT

 The Component Display Theory has found extensive usage in applied instructional design. It was employed in designing the TICCIT computer-based instructional system (Choi, 1986, p. 40). One of the key roles of instruction is to foster active mental processing by the learner. Evidence exists that there is a direct correlation between the quality and quantity of learning and cognitive processing of pertinent information by the student. Nonetheless, proper use of attention focusing information, as well as an experiential environment, may improve the requisite mental processing, thereby improving the level of learning. Because computers are interactive, the execution of this active involvement becomes easier than is the case with other instructional media.

Limitations of the CDT

There exist at least for different elements of instruction that impinge in student performance, including the organization of instruction, the method of instruction delivery, student motivation, and the method used in managing the interaction between the instruction and the student (Choi, 1986, p. 43). Further, instructional organization may be classified into two distinct categories, which include organizing instruction on a set of topics and organizing it on one topic. The Component Display Theory only examines the organization of instruction on one topic. Although the theory covers only a single, limited facet of instruction, its meticulous procedures offer instructional designers ways of producing effectual instruction within this limited domain.

Instructional Theories Conclusion and Thoughts

The basic aim of instructional theories is to enhance the quality of instruction. A learning-focused instructional theory should provide guidelines for designing learning environments that can offer the proper combinations of self-direction, empowerment, structure, guidance, and challenge. It must also include guidelines for aspects that have been mostly ignored in instructional design, which include deciding among the various instructional approaches, including project-based learning, tutorials, problem-based learning, and simulations.

The needs for learning have increased and, therefore, new paradigms must provide guidelines for promoting social, emotional, spiritual, attitudinal, and ethical development, as well as an intricate understanding, meta-cognitive strategies, complex cognitive tasks, and higher-order critical thinking skills in the cognitive sphere. Various instructional theories must provide guidelines in every of the above spheres of learning and development.

References

Choi, S. Y. (1986). Application of Component Display Theory in Designing and Developing CALI. Calico Journal, 3(4), 40-45.

Dijkstra, S., Schott, F., Tennyson, R. D., & Seel, N. M. (2012). Instructional Design: Volume I: Theory, Research, and Models:volume Ii: Solving Instructional Design Problems. Hoboken, NJ: Taylor and Francis.

Duffy, T. M., & Jonassen, D. H. (2013). Constructivism and the technology of instruction: A conversation. Hillsdale, NJ: Lawrence Erlbaum Associates Publishers.

Duncan, S. F., & Goddard, H. W. (2011). Family life education: Principles and practices for effective outreach. Thousand Oaks, CA: SAGE.

Edgar, D. W. (2012). Learning theories and historical events affecting instructional design in education: Recitation literacy toward extraction literacy practices. Sage Open, 2(4), 1-9.

Erbas, D., Turan, Y., Aslan, Y. G., & Dunlap, G. (2010). Attributions for Problem Behavior as Described by Turkish Teachers of Special Education. Remedial and Special Education, 31(2), 116-125.

Higgins, N. C., & LaPointe, M. R. P. (2012). An individual differences measure of attributions that affect achievement behavior: Factor structure and predictive validity of the academic attributional style questionnaire. Sage Open, 2(4), 1-15.

Jarvis, M. (2012). Teaching psychology 14-19: Issues & techniques. Abingdon, UK: Routledge.

Leong, F. T. L., & Austin, J. T. (2006). The psychology research handbook: A guide for graduate students and research assistants. Thousand Oaks, CA: Sage Publications.

Nenkov, G. Y., Haws, K. L., & Kim, M. J. (2014). Fluency in Future Focus: Optimizing Outcome Elaboration Strategies for Effective Self-Control. Social Psychological and Personality Science, 5(7), 769-776.

Reigeluth, C. M. (2013). Instructional-design theories and models: An Overview of Their Current Status. Hillsdale, NJ: Lawrence Erlbaum Associates.

Relevant Posts

Dissertation Help

Approaches for Research Dissertations

Did you find any useful knowledge relating to instructional theories in this post? What are the key facts that grabbed your attention? Let us know in the comments. Thank you.

Educational Inequality

Powerful Knowledge and Educational Inequality

Powerful knowledge is an important idea in the modern educational discussion, focusing on the question of how different styles of education and different courses of study serve students in different ways, preparing some for positions of importance and leadership, and miring others in a perpetuating cycle of working-class, and often poverty-level, existence. It is clear, from an observation of how the educational system is currently working in Australia, that there is a significant level of inequality in what students learn between the vocational-oriented competency-based training, or CBT, institutions and the higher-education institutions, which leads to an inequality in future opportunities for the students, and even finally to an inequality in the ability of these students, in their adult lives, to engage in the important conversations of their democratic society and even to participate in the political activities of their country as citizens. In this literature review, I examine the implications of powerful knowledge and vocationally-oriented education in Australia and propose solutions to the problem of educational inequality based on powerful knowledge. In conducting this literature review, I collected sources pertinent to the subject, first from the class readings, and then from my own searches on the topic, to ensure objectivity and to obtain information about current statistics in Australian education. Except where I was looking for historical data, sources were generally from 2000 and later

Definitions

Powerful knowledge is, simply put, the knowledge that is required to be able to have power (Young & Muller, 2010). Powerful knowledge “is the knowledge needed to progress in the world but also that least likely to be discovered outside of school for those from disadvantaged backgrounds” (Whitty, 2010, p. 32) (p 32). There are different bodies of powerful knowledge in the different disciplines, and then there is a generally accepted overall powerful knowledge, which is used to demonstrate to people from widespread disciplines that an individual has the capability of thinking clearly and logically, communicating effectively, and other important qualities for effective leadership (Beck, 2013). Even before powerful knowledge became a concept as such in education, the idea of norms without with students would not be able to get a job or would not have credibility in their fields permeated education, and provided the conceptual basis by which teachers ruthlessly eradicated grammatical anomalies from their classrooms and enforced normative, middle-class speech patterns under the assumption that speaking with lower-class dialects would make students sound uncouth and uneducated (Ogbu, 1995). Powerful knowledge goes far beyond simple normative grammar usage, however, and includes a host of thought patterns which indicate rigor of intellectual thought, such as knowledge of testing methods. It is knowledge that enables individuals to think critically and systematically, learn new subjects and comprehend them, understand logical rigor and fallacies and experimental methods for proving unsubstantiated claims (Beck, 2013). But how does this lead to educational inequality…

Particular powerful knowledge is determined by each discipline (Green, 2010). Some disciplines have powerful knowledge that is highly specialized and inaccessible to individuals outside that academic discipline. This powerful knowledge is called esoteric knowledge (Beck, 2013). Esoteric knowledge is powerful knowledge that is so discipline-specific as to be inaccessible to anyone outside of that discipline. Scientific fields are this way, with a specific vocabulary and knowledge base that is not used outside the field. There is an initiation required for an esoteric knowledge field (ibid).

Knowledge of the powerful is knowledge of the ruling class; that is, the ideas they think about and consider important  (Beck, 2013). It is whatever topics make up the compelling conversations of the day: capitalism versus socialism, universal human rights, pacifism versus imperial militarism, etc.. There is a strong connection between knowledge of the powerful and powerful knowledge, a) because the powerful people are often rigorously schooled in powerful knowledge, and b) because the discussions in the knowledge of the powerful often use powerful knowledge paradigms, without understanding which it is oftentimes impossible to engage in the discussion. However they are related, they are not the same thing (ibid). The connection between knowledge of the powerful and powerful knowledge goes a long way toward explaining the phenomenon that political debates are often divided along class lines, with more educated people tending toward one side of the debate and less educated people tending toward the other (Rose, 2000).

Powerful knowledge and knowledge of the powerful are concepts that exist within the framework of critical realism. Critical realism is a framework of viewing the society as a whole, with knowledge and norms outside of the viewer and even outside of the individual member of society. Essentially, from a critical realist point of view, curriculum development must take into account the “big picture” in order to serve the total needs of society (Priestley, 2011). Critical realism is closely connected to the idea of inequality in education as related to powerful knowledge. As Michael F.D. Young said, the knowledge issue is both an epistemological issue and a social justice issue, because those kids who don’t get to university often don’t get access to what I call powerful knowledge and they are the people who need it most, because they’re going to find life really tough without it (quoted in Whitty, 2010, p. 31). Is this an argument in favor of educational inequality…

Within the discussion of how education happens in light of powerful knowledge theory, there are further concepts to be defined. The classification of knowledge refers to how students view the knowledge that is available to them. For instance, school subjects are often separated from information gained at home and from each other, so that math, science, English, and history classes often have nothing to do with each other in a student’s school experience. As Bernstein explains it, “Classification reflects the distribution of power and the principles by which boundaries are established between categories. Strong classification is underpinned by the rule that ‘things must be kept apart.’ Weak classification is underpinned by the rule that ‘things must be brought together’” (Whitty, 2010, p. 36). Thus curricula that focus on integration between subjects and curricula that aim at bringing students’ home experiences into the classroom as a basis of reference are weak classification curricula, while curricula that separate out subjects and focus only on the things that are supposed to be learned in any given lesson (without reference to students’ extracurricular experiences) are strong classification curricula. Subjects that are heaviest in powerful knowledge tend to be the most strongly classified, and subjects that depend on esoteric knowledge are almost exclusively strongly classified. That is, there is usually quite a bit of overlap between elementary social studies and students’ home lives, but there is not likely to be much overlap at all between calculus and a student’s everyday life.

Framing is the way in which the material is presented and the methods of student engagement in the literature: “Framing, on the other hand, reflects the distribution of control over communication. Strong framing is where the transmitter has explicit control over the communication; weak framing gives the inquirer more apparent control over the communication” (Whitty, 2010, p. 36). Thus classes that are strongly framed are likely to be lecture-heavy, and students will learn facts from the instructor, the textbook, and other authorities. In classes that are weakly framed, students are likely to learn in a more discovery-based model. As with classification, subjects with significant amounts of powerful knowledge tend to be more strongly framed than subjects without powerful knowledge, and subjects with esoteric knowledge are the most strongly framed. As was stated above, esoteric knowledge generally requires an initiation, which often takes the form of strongly framed education.

Classification and framing are of utmost importance in this discussion. Classification is how students see the information they are learning – is it only important in the classroom, or is there overlap into real life? Strong classification education is self-referential in the classroom; weak classification education overlaps into everyday life. Similarly with framing, subjects that are framed strongly build up information systematically in a series of lectures; subjects that are framed weakly have little prerequisite knowledge required and allow students to approach problems according to their own curiosity and interest notably in educational inequality…. Whitty (2010) says that weak classification and weak framing have been largely unsuccessful in British systems, but that strong classification and strong framing also perpetuate an educational inequality, with the result that there is a need for a third solution.

Education Dissertations Essay Powerful Knowledge and Educational Inequality

Vertical knowledge and horizontal knowledge also play an important part in the discussion of powerful knowledge. Vertical knowledge is the abstract knowledge encountered in the higher-education system; it is what we refer to as powerful knowledge. Horizontal knowledge is day-to-day knowledge, such as vocational training knowledge (Wheelahan, 2010). Some disciplines require very structured instruction and have hierarchical (vertical) knowledge. Even problem-based learning requires a thorough instruction in the basics before students can understand enough to solve the problem. Physics is one such discipline. In academic disciplines, powerful knowledge is the knowledge passed down by the instructor. Other disciplines do not have such a specific set of vocabulary and concepts that need to be imparted by the teacher. These disciplines lend themselves well to problem-based learning and often deal with horizontal knowledge. Vocational skills are often this way (Wheelahan, 2010).

Knowledge-based education and project-based education are also terms that are used to make the distinction between curricula centering on powerful knowledge and curricula centering on practical skills. The fate of project-based education has been mixed since its original introduction as a revolutionary answer to the problem of school failure and drop-out rates. In Britain, as project-based education came en vogue as a progressive movement in education, it became clear through test scores that students were not gaining the abstract conceptual framework they needed for leadership success (powerful knowledge). As this trend became apparent, wealthier parents simply paid to send their students to private schools that taught knowledge-based subjects earlier, so the working-class students were primarily subjected to the lower standards and lower grades that resulted from the project-based reforms (Whitty, 2010).

Powerful knowledge in the modern educational system

Currently, the discussion of powerful knowledge centers on a discussion of career or vocational-oriented training as the model for education versus a more liberal arts, knowledge-for-knowledge’s-sake model of education. Education is commonly considered to aim towards the purpose of enabling students to acquire a well-paying job, and this is the case in the powerful knowledge discussion as well. In modern educational theory, “There has been a movement toward … wanting subject-learning to be thought of in terms of what the learner should be ableto do as a result of that teaching” (Yates, 2011, p. 34). This shift has been notable since 1975, and has changed the face of education from one of learning about the world to one of learning how to do a job (Yates & Collins, The absence of knowledge in Australian curriculum reforms, 2010). Digital technology is a force driving skills-based learning (Young & Muller, 2010). Easy access to education, more convenience in taking classes, and other factors lead people, especially working people trying to get better jobs, to take advantage of competency-based programs that will qualify them for a promotion or a more lucrative career path. Thus we recognize competency-based training (CBT) as an important aspect of education in the context that the vast majority of students, after college, will need to be able to support themselves with a career.

The question at hand is not whether education is intended to provide students with the means of entering the workforce, but what role their education forms them to play in that workforce. There is a significant difference between the roles that higher-education, academic programs prepare students for and the roles that vocational training programs prepare them for: “The purpose of an academic curriculum is to induct students into a field of knowledge (the academic disciplines) while the purpose of a vocational curriculum is to induct students into a field ofpractice. The process of selection (the classification of knowledge) and the way knowledge is selected, sequenced, paced and evaluated (the framing of knowledge) will be different in each” (Wheelahan, 2010, p. 55).

Vocational training provides students with the knowledge they need to do a specific job. As it is performed in Australian schools, CBT does not provide broader knowledge about the subject matter, or vertically-integrated knowledge that would allow students to move upwards in their career area, or to apply their knowledge to another, related field:

CBT excludes students from access to disciplinary knowledge because it collapses the distinction between vertical and horizontal discourses, and because knowledge in curriculum is weakly classified and framed. Students are not provided with the ‘recognition’ rules they need to access different kinds of knowledge. CBT does not provide students with the capacity to recognize and navigate the distinction between theoretical and everyday knowledge and between different kinds of theoretical knowledge. The boundaries are rendered opaque. (Wheelahan, 2010, p. 56)

That is, if CBT combined its job-based training with a vertical integration of knowledge, it would be providing students with powerful knowledge and preparing them to become leaders in their field. As it is, however, vertical knowledge and abstract reasoning are not included in CBT curricula. In other words, CBT teaches students how to do things, but it does not teach them how to think. In fact, currently, abstract knowledge in VET programs is limited to knowledge that has practical application. According to the Training Package Development Handbook, while knowledge must be expressed units of competency, their elements or performance criteria should not be entirely knowledge based unless a clear and assessable workplace outcome is described. Knowledge in units of competency:

  • Should be in context;
  • Should only be included if it refers to knowledge actually applied at work. (quoted in Wheelahan, 2010, p. 57)

Limiting generalized information also limits students’ abilities to synthesize information and come up with solutions to new problems, because it teaches a series of actions to take in a given number of scenarios and no more. Thus current standards of CBT in fact disadvantage students even in the workforce for which CBT supposedly prepares them. In one striking example, a competency-based program at a university and a parallel higher-education program at the same university set assignments aimed at the same general objectives. The competency-based program has the objective, “Develop and update the legal knowledge required for business compliance” in the tourism and hospitality industries, while the higher-education program has the objective, “provide students with an understanding and awareness of the basic principles of Contract Law, a familiarity with relevant case law and an introduction to the statutory provisions pertinent to the course” (Wheelahan, 2010, p. 58). The students in the CBT program learned specifics of current legal requirements for running a hotel. The students in the higher-education program learned the principles behind those specific requirements, thus enabling them to think about a multitude of different industries, and the reasons behind the requirements, and even be able to create a proposal for future policies given changing circumstances. The specific knowledge of the CBT students prepares them for a very specific job, with very little competence for upward mobility. The generalized, powerful knowledge of the higher-education students prepares them for a wide range of jobs, up to and including making new policies on a lobbying or legislative level. Powerful knowledge prepares students for power; failing to give students powerful knowledge sets them up for not being able to have power.

This is not only a problem of CBT versus higher education; it is also a problem of class. As one study on class in Australian education showed, “middle class children destined for professional and managerial occupations are taught a curriculum that emphasizes choice, flexibility and independent learning, whereas those destined for semi- or unskilled occupations are taught rote learning, punctuality and obedience” (Gerwitz & Cribb, 2009, p. 113). In other words, lower-class children are taught the skills of serfdom while middle-class and higher children are taught the skills of rule and leadership.

Educational Inequality

Educational inequality stems from class inequality, and begins long before students arrive for their first day of school. According to Bernstein’s theory, children learn by means of codes, and these codes are present from early childhood in the home (Hoadley & Muller, 2009). In Bernstein’s theory, these codes are the different things that students learn, which make the difference between education and socialization for leadership and education for labor work. These codes create a class divide at an educational level. The four original contexts of language that socialize children and determine their leadership place in later life are the “regulative, instructional, imaginative and interpersonal” (Hoadley & Muller, 2009, p. 70). That is, children learn social codes about the rules they must follow, the instructions that are given to them, the imaginative activities in which they engage, and the interactions they have with others, including parents, teachers, and friends. The home environment determines in a large part what the student’s success will be in learning the explicit, abstract knowledge presented in school. Therefore, students from middle- and upper-class families are at an advantage, while students from lower-class families are at a disadvantage, because lower-class children often communicate more literally and have less working language for abstract thought or creative instruction (Sadovnik, 1991). `Power and control are the two ends of the instructional spectrum, and the language in which children learn to understand and convey ideas sets them up to either have power over others or to be controlled by others (Hoadley & Muller, 2009, p. 71). These codes are the “how” of pedagogy – whatever students are learning, are they learning it through authoritarian/teacher-controlled discourse or through open-ended/student-controlled discourse? (ibid). Problem-based and inquiry-based pedagogy help to address these inequality issues, as they train students to take an active role in their education, and this has been the basis of progressive movements toward such modes of education.

However, there is another element in education which stands at odds to the importance of student-initiated learning: powerful knowledge. Curiosity-based and open-ended learning work well for “mundane or everyday knowledge,” but they do not provide an effective tool for students to gain “esoteric or universal, principled knowledge” (Hoadley & Muller, 2009, p. 75). Concept-rich subjects are often best taught in a specialist-centric or expert-centric learning environment (ibid). In addition, framing is extremely important in hierarchical subjects, and this affects the extent to which students can be in control of their own discovery (p. 76).

There is a strong link between higher income/higher academic achievement and lower income/lower academic achievement (Wheelahan, 2010, p. 52). Lower academic achievement often leads to CBT programs in tertiary education, while higher academic achievement often leads to “the elite professions and the academic disciplines” (ibid). This is an issue of income inequality. Students from higher-class backgrounds are more likely to already be in a position in which they can assimilate the presence of an authoritative teacher and still remain engaged as active participants in their own learning, but students from lower-class backgrounds are more likely to resort to the codes that they learned from childhood, responding to authority with passivity and rote obedience, which limits the effective engagement they take in the subject and thus their success at learning the powerful knowledge (Wheelahan, 2010). Meanwhile the school path destined for lower-achieving students, CBT, “acts as a mechanism for social stratification because it denies students access to the abstract theoretical knowledge they need to participate in ‘society’s conversation’” (Wheelahan, 2010, p. 47).

Competency-based training “ties knowledge and skill directly to workplace performance and roles, and not to systematic structured disciplinary systems of meaning” (Wheelahan, 2010, p. 48). Esoteric knowledge allows for abstract discussion of ideas; CBT does not deal in these abstracts (p. 49). This limits students’ abilities to move within their field to other jobs which are related but not exactly what they were trained to do, or to move upwards within their field to higher levels of management, if they were not trained for such positions, as they failed to gain the abstract knowledge that would let them apply their practical knowledge to other situations. Young and Muller (2010) say that learning powerful knowledge requires the background of a middle-class household; otherwise, the student will not have the theoretical and discursive framework to be able to learn the information as powerful knowledge – that is, as abstract knowledge – or be able to make use of it.

Not only is CBT a problem for job mobility, and therefore social mobility, but it is even a problem for a democratic government. As Wheelahan (2010) compellingly argues, “democratic access to theoretical knowledge is a precondition for an effective democracy because such knowledge is the means that society uses to conduct its conversation about what it should be like and how it should change” (p. 48). This idea builds on the definition above of knowledge of the powerful: it is necessary to have training in powerful knowledge in order to engage in the knowledge of the powerful, and therefore to effectively participate in a democracy.

Rather than lifting students out of poverty and enabling them to have a better life than their parents, CBT in Australia is currently perpetuating the cycle of poverty and disenfranchisement. The numbers confirm the analysis that this is a problem as low-income students only comprised 14.6% of the higher-education student body in 2002 (Thomas & Quinn, 2007, pp. 38-39).

Students from low socio-economic backgrounds are not only underrepresented in higher education (that is, academic environments aimed at providing powerful knowledge and preparing students for leadership) and overrepresented in CBT programs, but they are becoming more so. As the numbers of lower-income students in higher-education programs continues to lower, the wealth and class divide becomes more entrenched, with the children of the leaders becoming leaders and the children of the workers immediately becoming workers (Wheelahan, 2010, p. 53).

Solutions

CBT programs must begin to offer theoretical, abstract, powerful knowledge as part of the program. By adding powerful knowledge questions and abstract reasoning sections to current testing standards for CBT programs, institutions would be required to teach this knowledge. This would enable students learning a particular profession to have the knowledge and skills they need to be able to become leaders and policymakers in that field, rather than having limited upward job mobility.

Of course, there are also differences in abilities that must be taken into account. One way to address this would be to include multiple hierarchies in the CBT programs. “Multiple hierarchies of knowledge” refers to hierarchies about how we value knowledge, and especially how we assess it (Nairn, 2012, p. 26). The failure of the current system demonstrates that single and dual forms of valuation are insufficient to ensure that each student has a fair chance. However, with more systems of standards, it would be possible to customize the taught skill sets (including the “skill” of engaging abstract knowledge) to reflect a wider variety of ability levels, rather than a simple dichotomy between the future powerful and the future not powerful.

When determining higher-level skills that will be tested on in the CBT programs, standards creators should use potential vertical career movement as a standard for the information and thinking skills that need to be taught. An example was given above of standards in a CBT program for the hospitality industry and a parallel standard in a higher education program, in which the CBT standard was quite specific as to laws in the single case and sector, while the higher education standard was broad and abstract, referring to underlying principles by which students would be able to understand and even create other policies.  By considering that a CBT student in the hospitality industry may move up to the position of regulator or lobbyist in the industry, classes should be offered that hone the cognitive skills required for those positions. In my own teaching practice, even without the benefit of redefined standards, I can use the paradigm of future career movement to determine what powerful knowledge my students will need to be successful in their fields of study, and introduce them to abstract concepts in class discussions regardless of their future educational path.

References

Beck, J. (2013). Powerful knowledge, esoteric   knowledge, curriculum knowledge. Cambridge Journal of Education,   177-193.

Cause,   L. (2010). Bernstein’s code theory and the educational researcher. Asian Social Science, 3-9.

Gerwitz,   S., & Cribb, A. (2009). Knowledge and the curriculum. In S. Gerwitz, & A. Cribb,Understanding Education: A Sociological Perspective   (pp. 111-132). Cambridge: Polity Press.

Green,   B. (2010). Knowledge, the future, and education(al) research: A new-millennial challenge. The Australian Educational Researcher,   43-62.

Hoadley,   U., & Muller, J. (2009). Codes, pedagogy and knowledge: Advances in   Bernsteinian sociology of education. In M. W. Apple, S. J. Ball, & L. A. Gandin, The Routledge International Handbook of the Sociology of Education   (pp. 69-78). Hoboken: Routledge.

Nairn,   S. (2012). A critical realist approach to knowledge: Implications for evidence-based practice in and beyond nursing. Nursing Inquiry, 6-17.

Ogbu,   J. U. (1995). Cultural problems in minority education: Their interpretations and consequences – Part two: Case studies. The Urban Review, 271-297.

Priestley,   M. (2011). Whatever happened to curriculum theory? Critical realism and curriculum change. Pedagogy, Culture & Society, 221-237.

Rose,   F. (2000). Coalitions across the class divide: Lessons from the labor, peace, and environmental movements. Ithaca, NY: Cornell University Press.

Sadovnik,   A. R. (1991). Basil Bernstein’s theory of pedagogic practice: A structuralist approach.Sociology of Education, 48-63.

Shah,   M., & Nair, C. S. (2013). Private for-profit higher education in Australia: Widening access, participation and opportunities for   public-private collaboration. Higher education research and development, 820-832.

Thomas,   E., & Quinn, J. (2007). First generation entry into higher education: An international study. New York: McGraw-Hill International.

Wheelahan,   L. (2010). The structure of pedagogic discourse as a relay for power. In P. Singh,Toolkits, translation devices and conceptual accounts: essays on Basil Bernstein’s sociology of knowledge (pp. 47-63). New York: Peter
Lang.

Whitty,   G. (2010). Revisiting school knowledge: Some sociological perspectives on new   school curricula. European Journal of Education, 28-45.

Yates,   L. (2011). Re-thinking knowledge, re-thinking work. In L. Yates, C. Collins,   & K. O’Connor,Australia’s Curriculum Dilemmas (pp. 25-44).   Melbourne: Melbourne University Publishing.

Yates,   L., & Collins, C. (2010). The absence of knowledge in Australian   curriculum reforms.European Journal of Education, 89-102.

Young,   M., & Muller, J. (2010). Three educational scenarios for the future:   Lessons from the sociology of knowledge. European Journal of Education,   11-27.

We would like to get your thoughts on Educational Inequality. Please leave a comment.

Click Here To View Education Dissertation Topics