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Title:
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REPROGRAMMING CORRECTIONAL EDUCATION: A CONCEPTUAL FRAMEWORK FOR THE IMPLEMENTATION OF ADAPTIVE LEARNING TECHNOLOGIES IN PRISONS |
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Author(s):
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Shahram Amiri, Joseph Woodside and Humberto J. Soares |
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ISBN:
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978-989-8704-27-6 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2021 |
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Edition:
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Single |
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Keywords:
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Adaptive Learning, Correctional Education, Recidivism, Prison, Information Technology |
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Type:
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Full |
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First Page:
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218 |
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Last Page:
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226 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Considering the probability of reinstatement of the Pell Grant Program, the debate to advance educational programs in
prisons has flourished. Extensive evidence shows that the availability of learning opportunities in correctional facilities
drastically diminishes the prisoner's probabilities of recidivism and, augments the likelihood of positive social
re-integration. However, the effectiveness of these educational programs depends greatly on the methods of instruction
offered. Therefore, the real issue lies on the selection of the appropriate method of instruction. The aim of this paper is to
indicate the value of adaptive learning technologies (ALTs) to enhance a prisoner's learning abilities, by designing a
theoretical framework for the implementation of ALTs in prisons. This framework draws its basis from theories of machine
learning, adaptive learning, and information technology. The intention of this paper is to be used as a preliminary,
conceptual framework, which can then be adapted as empirical studies are developed. |
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