Academic Journal
TEACHING COLLEGE LEVEL CONTENT AND READING COMPREHENSION SKILLS SIMULTANEOUSLY VIA AN ARTIFICIALLY INTELLIGENT ADAPTIVE COMPUTERIZED INSTRUCTIONAL SYSTEM.
| Title: | TEACHING COLLEGE LEVEL CONTENT AND READING COMPREHENSION SKILLS SIMULTANEOUSLY VIA AN ARTIFICIALLY INTELLIGENT ADAPTIVE COMPUTERIZED INSTRUCTIONAL SYSTEM. |
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| Authors: | Ray, Roger D., Belden, Noelle |
| Source: | Psychological Record; Spring2007, Vol. 57 Issue 2, p201-218, 18p |
| Subject Terms: | Mathematical models of human behavior, Reading comprehension, Intelligent tutoring systems, Computer assisted instruction, Psychology education |
| Abstract: | This paper presents a behavioral model for conceptualizing advanced reading comprehension as a "higher order" behavior class. Also discussed are strategies and tactics utilized by an artificially intelligent adaptive tutoring and testing software system designed to shape such comprehension skills while also teaching subject-specific "content" to college students. The system, called MediaMatrix, offers internet delivery of relatively traditional textbook content using highly individualized and adaptive tutorial and assessment procedures (Ray, 1995a; 1995b, 2004). Extant and new research on the effectiveness of this system is presented, with particular emphasis on a preliminary study of students in two small sections of an introductory psychology course. Students were evaluated during early (pre) and late (post) portions of the semester using two equivalent forms of a specially constructed SAT/GRE type reading comprehension test. A statistically significant 17% gain from pre-to-post reading comprehension scores was observed, suggesting that both the behavioral model and the MediaMatrix strategies and tactics for shaping such higher order behaviors merit further research. Practical implications of teaching both specific course content and higher order behaviors such as reading comprehension without direct teacher contact are especially noted. [ABSTRACT FROM AUTHOR] |
| Copyright of Psychological Record is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
| FullText | Links: – Type: other Text: Availability: 0 CustomLinks: – Url: https://dx.doi.org/doi:10.1007/BF03395572 Name: EDS - Springer Nature Journals (s7799221) Category: fullText Text: View record at Springer |
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| Items | – Name: Title Label: Title Group: Ti Data: TEACHING COLLEGE LEVEL CONTENT AND READING COMPREHENSION SKILLS SIMULTANEOUSLY VIA AN ARTIFICIALLY INTELLIGENT ADAPTIVE COMPUTERIZED INSTRUCTIONAL SYSTEM. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ray%2C+Roger+D%2E%22">Ray, Roger D.</searchLink><br /><searchLink fieldCode="AR" term="%22Belden%2C+Noelle%22">Belden, Noelle</searchLink> – Name: TitleSource Label: Source Group: Src Data: Psychological Record; Spring2007, Vol. 57 Issue 2, p201-218, 18p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Mathematical+models+of+human+behavior%22">Mathematical models of human behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Reading+comprehension%22">Reading comprehension</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+tutoring+systems%22">Intelligent tutoring systems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+assisted+instruction%22">Computer assisted instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology+education%22">Psychology education</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents a behavioral model for conceptualizing advanced reading comprehension as a "higher order" behavior class. Also discussed are strategies and tactics utilized by an artificially intelligent adaptive tutoring and testing software system designed to shape such comprehension skills while also teaching subject-specific "content" to college students. The system, called MediaMatrix, offers internet delivery of relatively traditional textbook content using highly individualized and adaptive tutorial and assessment procedures (Ray, 1995a; 1995b, 2004). Extant and new research on the effectiveness of this system is presented, with particular emphasis on a preliminary study of students in two small sections of an introductory psychology course. Students were evaluated during early (pre) and late (post) portions of the semester using two equivalent forms of a specially constructed SAT/GRE type reading comprehension test. A statistically significant 17% gain from pre-to-post reading comprehension scores was observed, suggesting that both the behavioral model and the MediaMatrix strategies and tactics for shaping such higher order behaviors merit further research. Practical implications of teaching both specific course content and higher order behaviors such as reading comprehension without direct teacher contact are especially noted. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Psychological Record is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/BF03395572 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 201 Subjects: – SubjectFull: Mathematical models of human behavior Type: general – SubjectFull: Reading comprehension Type: general – SubjectFull: Intelligent tutoring systems Type: general – SubjectFull: Computer assisted instruction Type: general – SubjectFull: Psychology education Type: general Titles: – TitleFull: TEACHING COLLEGE LEVEL CONTENT AND READING COMPREHENSION SKILLS SIMULTANEOUSLY VIA AN ARTIFICIALLY INTELLIGENT ADAPTIVE COMPUTERIZED INSTRUCTIONAL SYSTEM. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ray, Roger D. – PersonEntity: Name: NameFull: Belden, Noelle IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Spring2007 Type: published Y: 2007 Identifiers: – Type: issn-print Value: 00332933 Numbering: – Type: volume Value: 57 – Type: issue Value: 2 Titles: – TitleFull: Psychological Record Type: main |
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