Towards Individualized Instruction with Technology-Enabled Tools and Methods
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| Title: | Towards Individualized Instruction with Technology-Enabled Tools and Methods |
|---|---|
| Language: | English |
| Authors: | Chung, Gregory K. W. K., Delacruz, Girlie C., Dionne, Gary B., Baker, Eva L., Lee, John, Osmundson, Ellen |
| Source: | Online Submission. 2007. |
| Peer Reviewed: | N |
| Page Count: | 41 |
| Publication Date: | 2007 |
| Sponsoring Agency: | Institute of Education Sciences (ED), Washington, DC. |
| Document Type: | Reports - Research Speeches/Meeting Papers |
| Education Level: | Grade 6 Grade 7 |
| Descriptors: | Mathematical Concepts, Intelligent Tutoring Systems, Identification, Effect Size, Educational Technology, Algebra, Individualized Instruction, Teaching Methods, Technology Integration, Mathematics Skills, Computer Assisted Instruction, Pretests Posttests, Instructional Effectiveness, Grade 6, Grade 8 |
| Geographic Terms: | California |
| Abstract: | In this study we explored the effectiveness of individualizing instruction using a system that diagnosed students' knowledge gaps in pre-algebra and provided individualized instruction and practice. One hundred middle school students participated, and received either no instruction or individualized computer-based instruction. Diagnosis of individual student knowledge gaps was based on a rapid 90-item pretest that mapped to a Bayesian network of presumed knowledge dependencies among various pre-algebra concepts. Given a diagnosis, a student received computer-based direct instruction. Instruction was generally less than 5 minutes followed by practice opportunities and its design was based on empirically supported features. In 4 out of 6 posttest scales, compared to students receiving no instruction, students who were diagnosed as low-knowledge on a concept and received instruction on that concept performed higher on the posttest scale for that concept with effect sizes ranging from .76 to .91. This finding held only for students who were engaged in the task (i.e., compliant as measured by participants' clickstream). This finding provides support for the idea that very brief instruction can be developed for pre-algebra concepts, be matched to an individual, and be effective. Implications are discussed for the development of "dumb" instructional and assessment systems (vs. "smart" systems such as intelligent tutoring systems), empirically guided instructional design, instructional efficiency using technology-enabled techniques, and the importance of gathering process data to measure degree of implementation. (Contains 7 tables. The following are appended: (1) Summary of Design Guidelines Implemented in Instruction; (2) Student Background Detail; (3) Student Background Measures; (4) Sample of Pretest Items; and (5) Transfer Test Items.) |
| Abstractor: | Author |
| Number of References: | 50 |
| Entry Date: | 2007 |
| Accession Number: | ED499180 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED499180 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: ED499180 AccessLevel: 3 PubType: Report PubTypeId: report PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Towards Individualized Instruction with Technology-Enabled Tools and Methods – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chung%2C+Gregory+K%2E+W%2E+K%2E%22">Chung, Gregory K. W. K.</searchLink><br /><searchLink fieldCode="AR" term="%22Delacruz%2C+Girlie+C%2E%22">Delacruz, Girlie C.</searchLink><br /><searchLink fieldCode="AR" term="%22Dionne%2C+Gary+B%2E%22">Dionne, Gary B.</searchLink><br /><searchLink fieldCode="AR" term="%22Baker%2C+Eva+L%2E%22">Baker, Eva L.</searchLink><br /><searchLink fieldCode="AR" term="%22Lee%2C+John%22">Lee, John</searchLink><br /><searchLink fieldCode="AR" term="%22Osmundson%2C+Ellen%22">Osmundson, Ellen</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Online+Submission%22"><i>Online Submission</i></searchLink>. 2007. – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: Pages Label: Page Count Group: Src Data: 41 – Name: DatePubCY Label: Publication Date Group: Date Data: 2007 – Name: SourceSuprt Label: Sponsoring Agency Group: SrcSuprt Data: Institute of Education Sciences (ED), Washington, DC. – Name: TypeDocument Label: Document Type Group: TypDoc Data: Reports - Research<br />Speeches/Meeting Papers – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Grade+6%22">Grade 6</searchLink><br /><searchLink fieldCode="EL" term="%22Grade+7%22">Grade 7</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Mathematical+Concepts%22">Mathematical Concepts</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+Tutoring+Systems%22">Intelligent Tutoring Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Identification%22">Identification</searchLink><br /><searchLink fieldCode="DE" term="%22Effect+Size%22">Effect Size</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Technology%22">Educational Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Algebra%22">Algebra</searchLink><br /><searchLink fieldCode="DE" term="%22Individualized+Instruction%22">Individualized Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Integration%22">Technology Integration</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Skills%22">Mathematics Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Instruction%22">Computer Assisted Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Pretests+Posttests%22">Pretests Posttests</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Effectiveness%22">Instructional Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Grade+6%22">Grade 6</searchLink><br /><searchLink fieldCode="DE" term="%22Grade+8%22">Grade 8</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22California%22">California</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this study we explored the effectiveness of individualizing instruction using a system that diagnosed students' knowledge gaps in pre-algebra and provided individualized instruction and practice. One hundred middle school students participated, and received either no instruction or individualized computer-based instruction. Diagnosis of individual student knowledge gaps was based on a rapid 90-item pretest that mapped to a Bayesian network of presumed knowledge dependencies among various pre-algebra concepts. Given a diagnosis, a student received computer-based direct instruction. Instruction was generally less than 5 minutes followed by practice opportunities and its design was based on empirically supported features. In 4 out of 6 posttest scales, compared to students receiving no instruction, students who were diagnosed as low-knowledge on a concept and received instruction on that concept performed higher on the posttest scale for that concept with effect sizes ranging from .76 to .91. This finding held only for students who were engaged in the task (i.e., compliant as measured by participants' clickstream). This finding provides support for the idea that very brief instruction can be developed for pre-algebra concepts, be matched to an individual, and be effective. Implications are discussed for the development of "dumb" instructional and assessment systems (vs. "smart" systems such as intelligent tutoring systems), empirically guided instructional design, instructional efficiency using technology-enabled techniques, and the importance of gathering process data to measure degree of implementation. (Contains 7 tables. The following are appended: (1) Summary of Design Guidelines Implemented in Instruction; (2) Student Background Detail; (3) Student Background Measures; (4) Sample of Pretest Items; and (5) Transfer Test Items.) – Name: AbstractInfo Label: Abstractor Group: Ab Data: Author – Name: Ref Label: Number of References Group: RefInfo Data: 50 – Name: DateEntry Label: Entry Date Group: Date Data: 2007 – Name: AN Label: Accession Number Group: ID Data: ED499180 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 41 Subjects: – SubjectFull: Mathematical Concepts Type: general – SubjectFull: Intelligent Tutoring Systems Type: general – SubjectFull: Identification Type: general – SubjectFull: Effect Size Type: general – SubjectFull: Educational Technology Type: general – SubjectFull: Algebra Type: general – SubjectFull: Individualized Instruction Type: general – SubjectFull: Teaching Methods Type: general – SubjectFull: Technology Integration Type: general – SubjectFull: Mathematics Skills Type: general – SubjectFull: Computer Assisted Instruction Type: general – SubjectFull: Pretests Posttests Type: general – SubjectFull: Instructional Effectiveness Type: general – SubjectFull: Grade 6 Type: general – SubjectFull: Grade 8 Type: general – SubjectFull: California Type: general Titles: – TitleFull: Towards Individualized Instruction with Technology-Enabled Tools and Methods Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chung, Gregory K. W. K. – PersonEntity: Name: NameFull: Delacruz, Girlie C. – PersonEntity: Name: NameFull: Dionne, Gary B. – PersonEntity: Name: NameFull: Baker, Eva L. – PersonEntity: Name: NameFull: Lee, John – PersonEntity: Name: NameFull: Osmundson, Ellen IsPartOfRelationships: – BibEntity: Dates: – D: 10 M: 04 Type: published Y: 2007 Titles: – TitleFull: Online Submission Type: main |
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