Model-centered instruction is a general theory of instructional design developed by Andrew S. Gibbons. [1] This theory can be used to design individual and group instruction for all kinds of learning in any type of learning environment. In addition, this theory may be used to design instruction with a wide variety of technologies and many media delivery systems.
The theory of model-centered instruction is based on the assumption that the purpose of instruction is to help learners construct knowledge about objects and events in their environment. In the field of cognitive psychology, theorists assert that knowledge is represented and stored in human memory as dynamic, networked structures generally known as schema or mental models. This concept of mental models was incorporated by Gibbons into the theory of model-centered instruction. This theory is based on the assumption that learners construct mental models as they process information they have acquired through observations of or interactions with objects, events, and environments. Instructional designers can assist learners by (a) helping them focus attention on specific information about an object, event, or environment and (b) initiating events or activities designed to trigger learning processes.
Instructional designers may guide learner attention by introducing learners to carefully selected objects and events that occur in certain environments. In some situations, it is not possible to have learners work with real objects, events, or environments. In these cases, instructional designers may create representations of the objects, events, or environments. These representations are called models. A model is a definition or representation of an object, event, or environment that includes some information regarding their properties, actions, or cause-effect relationships. Instructional designers may use a variety of models to help learners construct their own mental models. A model can take various mediated forms, from simple textual descriptions to complex, multimedia simulations.
According to the theory of model-centered instruction, there are three types of models: (a) a natural or manufactured cause-effect system, (b) an environment in which one or more systems operate, or (c) an expert performance—a set of purposeful, goal-driven actions that causes changes within systems and environments. These three types of models — system, environment, and expert performance - form a comprehensive framework for the representation and communication of subject-matter information in any domain.
When learners interact with complex objects or models, they sometimes need assistance in discovering and processing information. Instructional designers can guide learners by introducing problems to be solved in a sequence that may be partially or fully determined by the learner. Gibbons defines a problem as “a request for information about an incompletely known model. A problem is a request for the learner…to supply one or more of the model’s behaviors, elements, or interrelations that are missing”. [1] Problems act as filters or masks that focus learner attention on specific information about the objects or models. Problems also trigger learning processes used in the construction of mental models. As problems are solved in sequence, learners process more information and construct more comprehensive and useful mental models.
Gibbons has defined seven principles that summarize the general design prescriptions of model-centered instruction. [1] These principles are related to the overall instructional purposes, subject-matter content, and instructional strategies of model-centered instruction. Key ideas related to designing, selecting, and sequencing problems can also be found in these principles. In addition, these principles provide guidance in how to provide supportive information, physical materials, tools, and personalized assistance to the learner. These principles, as defined by Gibbons, are listed below.
1. Experience: Learners should be given maximum opportunity to interact for learning purposes with one or more systems or models of systems of three types: environment, system, and/or expert performance. The terms model and simulation are not synonymous; models can be expressed in a variety of computer-based and non-computer-based forms.
2. Problem solving: Interaction with systems or models should be focused by the solution of one or more carefully selected problems, expressed in terms of the model, with solutions being performed by the learner, by a peer, or by an expert.
3. Denaturing: Models are necessarily denatured from the real by the medium in which they are expressed. Designers must select a level of denaturing matching the target learner’s existing knowledge and goals.
4. Sequence: Problems should be arranged in a carefully constructed sequence for modeled solution or for active learner solution.
5. Goal orientation: Problems selected should be appropriate for the attainment of specific instructional goals.
6. Resourcing: The learner should be given problem solving information resources, materials, and tools within a solution environment (which may exist only in the learner’s mind) commensurate with instructional goals and existing levels of knowledge.
7. Instructional augmentation: The learner should be given support during solving in the form of dynamic, specialized, designed instructional augmentations.
An instructional theory is "a theory that offers explicit guidance on how to better help people learn and develop." It provides insights about what is likely to happen and why with respect to different kinds of teaching and learning activities while helping indicate approaches for their evaluation. Instructional designers focus on how to best structure material and instructional behavior to facilitate learning.
Learning theory describes how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a worldview, is acquired or changed and knowledge and skills retained.
Instructional design (ID), also known as instructional systems design (ISD), is the practice of systematically designing, developing and delivering instructional materials and experiences, both digital and physical, in a consistent and reliable fashion toward an efficient, effective, appealing, engaging and inspiring acquisition of knowledge. The process consists broadly of determining the state and needs of the learner, defining the end goal of instruction, and creating some "intervention" to assist in the transition. The outcome of this instruction may be directly observable and scientifically measured or completely hidden and assumed. There are many instructional design models but many are based on the ADDIE model with the five phases: analysis, design, development, implementation, and evaluation.
Software design is the process by which an agent creates a specification of a software artifact intended to accomplish goals, using a set of primitive components and subject to constraints. The term is sometimes used broadly to refer to "all the activity involved in conceptualizing, framing, implementing, commissioning, and ultimately modifying" the software, or more specifically "the activity following requirements specification and before programming, as ... [in] a stylized software engineering process."
Instructional scaffolding is the support given to a student by an instructor throughout the learning process. This support is specifically tailored to each student; this instructional approach allows students to experience student-centered learning, which tends to facilitate more efficient learning than teacher-centered learning. This learning process promotes a deeper level of learning than many other common teaching strategies.
In psychology, cognitivism is a theoretical framework for understanding the mind that gained credence in the 1950s. The movement was a response to behaviorism, which cognitivists said neglected to explain cognition. Cognitive psychology derived its name from the Latin cognoscere, referring to knowing and information, thus cognitive psychology is an information-processing psychology derived in part from earlier traditions of the investigation of thought and problem solving.
A cognitive tutor is a particular kind of intelligent tutoring system that utilizes a cognitive model to provide feedback to students as they are working through problems. This feedback will immediately inform students of the correctness, or incorrectness, of their actions in the tutor interface; however, cognitive tutors also have the ability to provide context-sensitive hints and instruction to guide students towards reasonable next steps.
Situated cognition is a theory that posits that knowing is inseparable from doing by arguing that all knowledge is situated in activity bound to social, cultural and physical contexts.
Constructivism is a theory in education which posits that individuals or learners do not acquire knowledge and understanding by passively perceiving it within a direct process of knowledge transmission, rather they construct new understandings and knowledge through experience and social discourse, integrating new information with what they already know. For children, this includes knowledge gained prior to entering school. It is associated with various philosophical positions, particularly in epistemology as well as ontology, politics, and ethics. The origin of the theory is also linked to Swiss developmental psychologist Jean Piaget's theory of cognitive development.
Problem solving is the process of achieving a goal by overcoming obstacles, a frequent part of most activities. Problems in need of solutions range from simple personal tasks to complex issues in business and technical fields. The former is an example of simple problem solving (SPS) addressing one issue, whereas the latter is complex problem solving (CPS) with multiple interrelated obstacles. Another classification is into well-defined problems with specific obstacles and goals, and ill-defined problems in which the current situation is troublesome but it is not clear what kind of resolution to aim for. Similarly, one may distinguish formal or fact-based problems requiring psychometric intelligence, versus socio-emotional problems which depend on the changeable emotions of individuals or groups, such as tactful behavior, fashion, or gift choices.
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The following outline is provided as an overview of and topical guide to thought (thinking):
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The apprentice perspective is an educational theory of apprenticeship concerning the process of learning through physical integration into the practices associated with the subject, such as workplace training. By developing similar performance to other practitioners, an apprentice will come to understand the tacit duties of the position. In the process of creating this awareness, the learner also affect their environment; as they are accepted by master practitioners, their specific talents and contributions within the field are taken into account and integrated into the overall practice.
An instructional simulation, also called an educational simulation, is a simulation of some type of reality but which also includes instructional elements that help a learner explore, navigate or obtain more information about that system or environment that cannot generally be acquired from mere experimentation. Instructional simulations are typically goal oriented and focus learners on specific facts, concepts, or applications of the system or environment. Today, most universities make lifelong learning possible by offering a virtual learning environment (VLE). Not only can users access learning at different times in their lives, but they can also immerse themselves in learning without physically moving to a learning facility, or interact face to face with an instructor in real time. Such VLEs vary widely in interactivity and scope. For example, there are virtual classes, virtual labs, virtual programs, virtual library, virtual training, etc. Researchers have classified VLE in 4 types:
Neo-Piagetian theories of cognitive development criticize and build upon Jean Piaget's theory of cognitive development.
Andrew S. Gibbons is an American practitioner and theorist in the field of instructional design and technology. He has proposed an architectural theory of instructional design influenced by the structural principles of artifact modularization drawn from a number of design disciplines, as exemplified by the work of Carliss Baldwin and Kim B. Clark.
Anchored Instruction is a technology centered learning approach, which falls under the social constructionism paradigm. It is a form of situated learning that emphasizes problem-solving within an integrated learning context, which can be examined from multiple perspectives. "In other words, the learning is contextualized to provide students with realistic roles that serve to enhance the learning process",. During teaching, activities are designed or tied around an "anchor", such as an adventure or story, with a problem at the end, that needs to be resolved. The connection made between the content and the authentic context is referred to as "anchoring". These models typically embed all the information needed for the problem to be solved, such data and hints. Anchored instruction is akin to problem-based learning (P.B.L.) with the exception of its open-endedness.