Volume 2 Month 8 Day 7 – Educational psychology
Educational psychology is the study of how humans learn in educational settings, the effectiveness of educational interventions, the psychology of teaching, and the social psychology of schools as organizations. Educational psychology is concerned with how students learn and develop, often focusing on subgroups such as gifted children and those subject to specific disabilities. Although the terms “educational psychology” and “school psychology” are often used interchangeably, researchers and theorists are likely to be identified in the US and Canada as educational psychologists, whereas practitioners in schools or school-related settings are identified as school psychologists. This distinction is however not made in the UK, where the generic term for practitioners is “educational psychologist.”
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Educational psychology can in part be understood through its relationship with other disciplines. It is informed primarily by psychology, bearing a relationship to that discipline analogous to the relationship between medicine and biology. Educational psychology in turn informs a wide range of specialities within educational studies, including instructional design, educational technology, curriculum development, organizational learning, special education and classroom management. Educational psychology both draws from and contributes to cognitive science and the learning sciences. In universities, departments of educational psychology are usually housed within faculties of education, possibly accounting for the lack of representation of educational psychology content in introductory psychology textbooks
Social, moral and cognitive development
An abacus provides concrete experiences for learning abstract concepts.
To understand the characteristics of learners in childhood, adolescence, adulthood, and old age, educational psychology develops and applies theories of human development. Often represented as stages through which people pass as they mature, developmental theories describe changes in mental abilities (cognition), social roles, moral reasoning, and beliefs about the nature of knowledge.
For example, educational psychologists have researched the instructional applicability of Jean Piaget’s theory of development, according to which children mature through four stages of cognitive capability. Piaget hypothesized that children are not capable of abstract logical thought until they are older than about 11 years, and therefore younger children need to be taught using concrete objects and examples. Researchers have found that transitions, such as from concrete to abstract logical thought, do not occur at the same time in all domains. A child may be able to think abstractly about mathematics, but remain limited to concrete thought when reasoning about human relationships. Perhaps Piaget’s most enduring contribution is his insight that people actively construct their understanding through a self-regulatory process.[2]
Piaget proposed a developmental theory of moral reasoning in which children progress from a naive understanding of morality based on behavior and outcomes to a more advanced understanding based on intentions. Piaget’s views of moral development were elaborated by Kohlberg into a stage theory of moral development. There is evidence that the moral reasoning described in stage theories is not sufficient to account for moral behavior. For example, other factors such as modeling (as described by the social cognitive theory of morality) are required to explain bullying.
Rudolf Steiner’s model of child development interrelates physical, emotional, cognitive, and moral development[3] in developmental stages similar to those later described by Piaget.[4]
Developmental theories are sometimes presented not as shifts between qualitatively different stages, but as gradual increments on separate dimensions. Development of epistemological beliefs (beliefs about knowledge) have been described in terms of gradual changes in people’s belief in: certainty and permanence of knowledge, fixedness of ability, and credibility of authorities such as teachers and experts. People develop more sophisticated beliefs about knowledge as they gain in education and maturity.[5]
Individual differences and disabilities
An example of an item from a cognitive abilities test.Each person has an individual profile of characteristics, abilities and challenges that result from learning and development. These manifest as individual differences in intelligence, creativity, cognitive style, motivation, and the capacity to process information, communicate, and relate to others. The most prevalent disabilities found among school age children are attention-deficit hyperactivity disorder (ADHD), learning disability, dyslexia, and speech disorder. Less common disabilities include mental retardation, hearing impairment, cerebral palsy, epilepsy, and blindness.[2]
Although theories of intelligence have been discussed by philosophers since Plato, intelligence testing is an invention of educational psychology, and is coincident with the development of that discipline. Continuing debates about the nature of intelligence revolve on whether intelligence can be characterized by a single factor known as general intelligence,[6] multiple factors (e.g., Gardner’s theory of multiple intelligences[7]), or whether it can be measured at all. In practice, standardized instruments such as the Stanford-Binet IQ test and the WISC[8] are widely used in economically developed countries to identify children in need of individualized educational treatment. Children classified as gifted are often provided with accelerated or enriched programs. Children with identified deficits may be provided with enhanced education in specific skills such as phonological awareness.
Learning and cognition
Two fundamental assumptions that underlie formal education systems are that students (a) retain knowledge and skills they acquire in school, and (b) can apply them in situations outside the classroom. But are these assumptions accurate? Research has found that, even when students report not using the knowledge acquired in school, a considerable portion is retained for many years and long term retention is strongly dependent on the initial level of mastery.[9] One study found that university students who took a child development course and attained high grades showed, when tested 10 years later, average retention scores of about 30%, whereas those who obtained moderate or lower grades showed average retention scores of about 20%.[10] There is much less consensus on the crucial question of how much knowledge acquired in school transfers to tasks encountered outside formal educational settings, and how such transfer occurs.[11] Some psychologists claim that research evidence for this type of far transfer is scarce,[12][13] while others claim there is abundant evidence of far transfer in specific domains.[14] Several perspectives have been established within which the theories of learning used in educational psychology are formed and contested. These include behaviorism, cognitivism, social cognitive theory, and constructivism. This section summarizes how educational psychology has researched and applied theories within each of these perspectives.
Behavioral perspective
Applied behavior analysis, a set of techniques based on the behavioral principles of operant conditioning, is effective in a range of educational settings.[15] For example, teachers can improve student behavior by systematically rewarding students who follow classroom rules with praise, stars, or tokens exchangeable for sundry items.[16][17] Despite the demonstrated efficacy of awards in changing behavior, their use in education has been criticized by proponents of self-determination theory, who claim that praise and other rewards undermine intrinsic motivation. There is evidence that tangible rewards decrease intrinsic motivation in specific situations, such as when the student already has a high level of intrinsic motivation to perform the goal behavior.[18] But the results showing detrimental effects are counterbalanced by evidence that, in other situations, such as when rewards are given for attaining a gradually increasing standard of performance, rewards enhance intrinsic motivation.[19][20] Many effective therapies have been based on the principles of Applied Behavior Analysis, including Pivotal Response Therapy which is used to treat Autism Spectrum Disorders.
Cognitive perspective
Among current educational psychologists, the cognitive perspective is more widely held than the behavioral perspective perhaps because it admits causally related mental constructs such as traits, beliefs, memories, motivations and emotions. Cognitive theories claim that memory structures determine how information is perceived, processed, stored, retrieved and forgotten. Among the memory structures theorized by cognitive psychologists are separate but linked visual and verbal systems described by Allan Paivio’s dual coding theory. Educational psychologists have used dual coding theory and cognitive load theory to explain how people learn from multimedia presentations.[21]
Three experiments reported by Krug, Davis and Glover[22] demonstrated the advantage of delaying a 2nd reading of a text passage by one week (distributed) compared with no delay between readings (massed).The spaced learning effect, a cognitive phenomenon strongly supported by psychological research, has broad applicability within education.[23] For example, students have been found to perform better on a test of knowledge about a text passage when a second reading of the passage is delayed rather than immediate (see figure).[22] Educational psychology research has confirmed the applicability to education of other findings from cognitive psychology, such as the benefits of using mnemonics for immediate and delayed retention of information.[24]
Problem solving, regarded by many cognitive psychologists as fundamental to learning, is an important research topic in educational psychology. A student is thought to interpret a problem by assigning it to a schema retrieved from long term memory. When the problem is assigned to the wrong schema, the student’s attention is subsequently directed away from features of the problem that are inconsistent with the assigned schema.[25] The critical step of finding a mapping between the problem and a pre-existing schema is often cited as supporting the centrality of analogical thinking to problem solving.
Social cognitive perspective
Main article: Social cognitive theory
Social cognitive theory is a highly influential fusion of behavioral, cognitive and social elements that was initially developed by educational psychologist Albert Bandura. In its earlier, neo-behavioral incarnation called social learning theory, Bandura emphasized the process of observational learning in which a learner’s behavior changes as a result of observing others’ behavior and its consequences. The theory identified several factors that determine whether observing a model will affect behavioral or cognitive change. These factors include the learner’s developmental status, the perceived prestige and competence of the model, the consequences received by the model, the relevance of the model’s behaviors and consequences to the learner’s goals, and the learner’s self-efficacy. The concept of self-efficacy, which played an important role in later developments of the theory, refers to the learner’s belief in his or her ability to perform the modeled behavior.
An experiment by Schunk and Hanson,[26] that studied grade 2 students who had previously experienced difficulty in learning subtraction, illustrates the type of research stimulated by social learning theory. One group of students observed a subtraction demonstration by a teacher and then participated in an instructional program on subtraction. A second group observed other grade 2 students performing the same subtraction procedures and then participated in the same instructional program. The students who observed peer models scored higher on a subtraction post-test and also reported greater confidence in their subtraction ability. The results were interpreted as supporting the hypothesis that perceived similarity of the model to the learner increases self-efficacy, leading to more effective learning of modeled behavior. It is supposed that peer modeling is particularly effective for students who have low self-efficacy.
Over the last decade, much research activity in educational psychology has focused on developing theories of self-regulated learning (SRL) and metacognition. These theories work from the central premise that effective learners are active agents who construct knowledge by setting goals, analysing tasks, planning strategies and monitoring their understanding. Research has indicated that learners who are better at goal setting and self-monitoring tend to have greater intrinsic task interest and self-efficacy;[27] and that teaching learning strategies can increase academic achievement.[28]
Constructivist perspective
Main article: Constructivism (learning theory)
Constructivism is a category of learning theories in which emphasis is placed on the agency and prior knowledge of the learner, and often on the social and cultural determinants of the learning process. Educational psychologists distinguish individual (or psychological) constructivism, identified with Piaget’s learning theory, from social constructivism. A dominant influence on the latter type is Lev Vygotsky’s work on sociocultural learning, describing how interactions with adults, more capable peers, and cognitive tools are internalized to form mental constructs. Elaborating on Vygotsky’s theory, Jerome Bruner and other educational psychologists developed the important concept of instructional scaffolding, in which the social or information environment offers supports for learning that are gradually withdrawn as they become internalized.
Motivation
Motivation is an internal state that activates, guides and sustains behavior. Educational psychology research on motivation is concerned with the volition or will that students bring to a task, their level of interest and intrinsic motivation, the personally held goals that guide their behavior, and their belief about the causes of their success or failure.
A form of attribution theory developed by Bernard Weiner[29] describes how students’ beliefs about the causes of academic success or failure affect their emotions and motivations. For example, when students attribute failure to lack of ability, and ability is perceived as uncontrollable, they experience the emotions of shame and embarrassment and consequently decrease effort and show poorer performance. In contrast, when students attribute failure to lack of effort, and effort is perceived as controllable, they experience the emotion of guilt and consequently increase effort and show improved performance.
Motivational theories also explain how learners’ goals affect the way that they engage with academic tasks.[30] Those who have mastery goals strive to increase their ability and knowledge. Those who have performance approach goals strive for high grades and seek opportunities to demonstrate their abilities. Those who have performance avoidance goals are driven by fear of failure and avoid situations where their abilities are exposed. Research has found that mastery goals are associated with many positive outcomes such as persistence in the face of failure, preference for challenging tasks, creativity and intrinsic motivation. Performance avoidance goals are associated with negative outcomes such as poor concentration while studying, disorganized studying, less self-regulation, shallow information processing and test anxiety. Performance approach goals are associated with positive outcomes, and some negative outcomes such as an unwillingness to seek help and shallow information processing.
Research methodology
The research methods used in educational psychology tend to be drawn from psychology and other social sciences. There is also a history of significant methodological innovation by educational psychologists, and psychologists investigating educational problems. Research methods address problems in both research design and data analysis. Research design informs the planning of experiments and observational studies to ensure that their results have internal, external and ecological validity. Data analysis encompasses methods for processing both quantitive (numerical) and qualitative (non-numerical) research data. Although, historically, the use of quantitative methods was often considered an essential mark of scholarship, modern educational psychology research uses both quantitative and qualitative methods.
Quantitative methods
Test scores and other educational variables often approximate a normal distribution.Perhaps first among the important methodological innovations of educational psychology was the development and application of factor analysis by Charles Spearman. Factor analysis is mentioned here as one example of the many multivariate statistical methods used by educational psychologists. Factor analysis is used to summarize relationships among a large set of variables or test questions, develop theories about mental constructs such as self-efficacy or anxiety, and assess the reliability and validity of test scores.[31] Over one hundred years after its introduction by Spearman, factor analysis has become a research staple figuring prominently in educational psychology journals.
Because educational assessment is fundamental to most quantitative research in the field, educational psychologists have made significant contributions to the field of psychometrics. For example, alpha, the widely used measure of test reliability was developed by educational psychologist Lee Cronbach. The reliability of assessments are routinely reported in quantitative educational research. Although, originally, educational measurement methods were built on classical test theory, item response theory and Rasch models are now used extensively in educational measurement worldwide. These models afford advantages over classical test theory, including the capacity to produce standard errors of measurement for each score or pattern of scores on assessments and the capacity to handle missing responses.
Meta-analysis, the combination of individual research results to produce a quantitative literature review, is another methodological innovation with a close association to educational psychology. In a meta-analysis, effect sizes that represent, for example, the differences between treatment groups in a set of similar experiments, are averaged to obtain a single aggregate value representing the best estimate of the effect of treatment.[32] Several decades after Pearson’s work with early versions of meta-analysis, Glass[33] published the first application of modern meta-analytic techniques and triggered their broad application across the social and biomedical sciences. Today, meta-analysis is among the most common types of literature review found in educational psychology research.
Other quantitative research issues associated with educational psychology include the use of nested research designs (e.g., a student nested within a classroom, which is nested within a school, which is nested within a district, etc.) and the use of longitudinal statistical models to measure change.
Qualitative methods
Qualitative methods are used in educational studies whose purpose is to describe events, processes and situations of theoretical significance. The qualitative methods used in educational psychology often derive from anthropology, sociology or sociolinguistics. For example, the anthropological method of ethnography has been used to describe teaching and learning in classrooms. In studies of this type, the researcher may gather detailed field notes as a participant observer or passive observer. Later, the notes and other data may be categorized and interpreted by methods such as grounded theory. Triangulation, the practice of cross-checking findings with multiple data sources, is highly valued in qualitative research.
Case studies are forms of qualitative research focusing on a single person, organization, event, or other entity. In one case study,[34] researchers conducted a 150-minute, semi-structured interview with a 20-year old woman who had a history of suicidal thinking between the ages of 14 to 18. They analyzed an audio-recording of the interview to understand the roles of cognitive development, identity formation and social attachment in ending her suicidal thinking.
Qualitative analysis is most often applied to verbal data from sources such as conversations, interviews, focus groups, and personal journals. Qualitative methods are thus, typically, approaches to gathering, processing and reporting verbal data. One of the most commonly used methods for qualitative research in educational psychology is protocol analysis.[35] In this method the research participant is asked to think aloud while performing a task, such as solving a math problem. In protocol analysis the verbal data is thought to indicate which information the subject is attending to, but is explicitly not interpreted as an explanation or justification for behavior. In contrast, the method of verbal analysis[36] does admit learners’ explanations as a way to reveal their mental model or misconceptions (e.g., of the laws of motion). The most fundamental operations in both protocol and verbal analysis are segmenting (isolating) and categorizing sections of verbal data. Conversation analysis and discourse analysis, sociolinguistic methods that focus more specifically on the structure of conversational interchange (e.g., between a teacher and student), have been used to assess the process of conceptual change in science learning.[37] Qualitative methods are also used to analyse information in a variety of media, such as students’ drawings and concept maps, video-recorded interactions, and computer log records.
Vishal Jain
From Wikipedia
