An intelligent tutoring system for the accounting cycle: Enhancing textbook homework with artificial intelligence

This paper describes an electronic tutoring system, developed using principles of artificial intelligence (AI), to help students learn the accounting cycle. Unlike other educational technologies, the tutoring system provides instruction and feedback that is tailored to each individual student and ad...

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Published in:Journal of accounting education 2009-03, Vol.27 (1), p.30-39
Main Authors: Johnson, Benny G, Phillips, Fred, Chase, Linda G
Format: Article
Language:English
Subjects:
Accounting
Artificial intelligence
Ausbildung
Betriebswirtschaft
Computerunterstützter Unterricht
Educational technology
Intelligent tutoring system
Journal entries
Künstliche Intelligenz
Lernen
Online instruction
Performance evaluation
Problem solving
Rechnungswesen
Studies
Textbooks
Transaction analysis
Tutoring
USA
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cited_by cdi_FETCH-LOGICAL-c301t-d5b1d2d1ce1d963f9c0619fafbe09f240fab193303fa7e3bf210217a2cfa69193
cites cdi_FETCH-LOGICAL-c301t-d5b1d2d1ce1d963f9c0619fafbe09f240fab193303fa7e3bf210217a2cfa69193
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container_title Journal of accounting education
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creator Johnson, Benny G
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description This paper describes an electronic tutoring system, developed using principles of artificial intelligence (AI), to help students learn the accounting cycle. Unlike other educational technologies, the tutoring system provides instruction and feedback that is tailored to each individual student and addresses not only problem-solving outcomes but also problem-solving processes. To assess the effectiveness of the tutoring system, we administered a pre-test and then required students in a sophomore accounting course to use either the tutoring system or their textbook as a reference when journalizing transactions for a homework assignment. We then administered a post-test. A pre-post analysis showed that the tutor group’s test performance increased approximately 27% points, whereas the textbook group’s test performance improved by only 8% points. Implications of these findings for instructors and researchers are discussed.
doi_str_mv 10.1016/j.jaccedu.2009.05.001
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subjects Accounting
Artificial intelligence
Ausbildung
Betriebswirtschaft
Computerunterstützter Unterricht
Educational technology
Intelligent tutoring system
Journal entries
Künstliche Intelligenz
Lernen
Online instruction
Performance evaluation
Problem solving
Rechnungswesen
Studies
Textbooks
Transaction analysis
Tutoring
USA
title An intelligent tutoring system for the accounting cycle: Enhancing textbook homework with artificial intelligence
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