Difference between revisions of "Personalization"
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Cordova and Lepper (1996) reported positive effects of personalization and choice within an educational game for children in the domain of arithmetic. Those studies found that both personalization and choice played important roles: students given a choice of personalized tasks outperformed students given tasks without choice and/or without personalization. | Cordova and Lepper (1996) reported positive effects of personalization and choice within an educational game for children in the domain of arithmetic. Those studies found that both personalization and choice played important roles: students given a choice of personalized tasks outperformed students given tasks without choice and/or without personalization. | ||
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+ | In the [[REAP_main|REAP Tutor]], the curriculum is personalized so that students receive series of practice readings that match up with their personal interests in general topic categories (e.g., Business, Arts, Science). Trade-offs were found between finding texts of interest, which appeared to improve learning, and finding texts with multiple practice opportunities. | ||
==Experimental support== | ==Experimental support== |
Revision as of 17:23, 5 April 2008
Contents
Brief statement of principle
Personalization is a process by which features of an instructional component are designed to match up with students' personal interests, experiences, or typical patterns of language use in order to increase robust learning through increased motivation.
Description of principle
Instructional tasks are often presented in ways that do not connect with the experiences and interests of individual students. Instructional programs, and specific tasks in those programs, are typically developed to work with large groups of students. Instruction can be provided on and individual bases according to domain factors such as connections to particular knowledge components, but differentiation with respect to motivational factors is less common.
Personalization is a process by which features of an instructional component are designed to match up with students' personal interests, experiences, or typical patterns of language use in order to increase robust learning through increased motivation.
Trade-offs must be considered because personalization may alter instruction in such a way that interferes with other principles, such as by reducing the amount of practice or distracting the student with interesting but irrelevant material.
Operational definition
Recent work has considered at least the following two forms of personalization:
sense similar to Clark & Mayer, 2003
Presenting language (text or speech) to the student using first- and second-person pronouns, as well as polite and informal language.
sense similar to Cordova & Lepper, 1996
Tailoring instructional content to match the learner's personal interests or preferences.
Examples
Cordova and Lepper (1996) reported positive effects of personalization and choice within an educational game for children in the domain of arithmetic. Those studies found that both personalization and choice played important roles: students given a choice of personalized tasks outperformed students given tasks without choice and/or without personalization.
In the REAP Tutor, the curriculum is personalized so that students receive series of practice readings that match up with their personal interests in general topic categories (e.g., Business, Arts, Science). Trade-offs were found between finding texts of interest, which appeared to improve learning, and finding texts with multiple practice opportunities.
Experimental support
Laboratory experiment support
In vivo experiment support
Theoretical rationale
Conditions of application
Caveats, limitations, open issues, or dissenting views
Variations (descendants)
Generalizations (ascendants)
References
Cordova, D. I. & Lepper, M. R. (1996). Intrinsic Motivation and the Process of Learning: Beneficial Effects of Contextualization, Personalization, and Choice. Journal of Educational Psychology. Vol. 88,l No. 4, 715-730.
Clark, R. C. and Mayer, R. E. (2003). e-Learning and the Science of Instruction. Jossey-Bass/Pfeiffer.