| Project/Area Number |
04558040
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| Research Category |
Grant-in-Aid for Developmental Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
科学教育(含教育工学)
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| Research Institution | Shirayuri College |
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Principal Investigator |
AZUMA Hiroshi Shirayuri College, Dvelopmental Psychology, Prof., 文学部, 教授 (60012548)
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| Co-Investigator(Kenkyū-buntansha) |
IIYAMA Yoshiko Shirayuri College, Dvelopmental Psychology, Prof., 文学部, 教授 (00202838)
HANTA Susumu Shirayuri College, Dvelopmental Psychology, Prof., 文学部, 教授 (10018038)
KASHIWAGI Keiko Shirayuri College, Dvelopmental Psychology, Prof., 文学部, 教授 (10086324)
MORINAGA Ryoko Shirayuri College, Dvelopmental Psychology, Prof., 文学部, 教授 (50255931)
NAKAMURA Tasukashi Shirayuri College, Dvelopmental Psychology, Prof., 文学部, 教授
林 洋一 白百合女子大学, 文学部, 助教授 (20145650)
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| Project Period (FY) |
1992 – 1994
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| Project Status |
Completed (Fiscal Year 1994)
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| Budget Amount *help |
¥6,900,000 (Direct Cost: ¥6,900,000)
Fiscal Year 1994: ¥1,200,000 (Direct Cost: ¥1,200,000)
Fiscal Year 1993: ¥2,400,000 (Direct Cost: ¥2,400,000)
Fiscal Year 1992: ¥3,300,000 (Direct Cost: ¥3,300,000)
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| Keywords | database, / learning disablities / developmental disabilites / データベース / 発達障害児 / LD / エキスパートシステム / プロトコール分析 / 治療教育 / LD児 / 発達診断 / エキスパート行動 |
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| Research Abstract |
The principal program was constructed with Macintosh hyper card.
The program provides the soft-signs one by one, requests students to give probabilistic diagnosis for each of hyper-activity, mental retardation, autism and learning disability following each presentation of a soft sign. Then the probability distribution of experts' judgment is shown The principal outcome of this study is a computer assisted instruction program which trains graduate students and education alpractitioners in diagnosing learning disability differentiated from mental retardation, hyper-activity and autism.
As the basis of study, the complete data of 120 clear cases of learning disability were collected to from a data base. All those cases were subjected to continuous observation.
Based in this data base information and experts' opinion, the soft signs of learning disability were listed for different age-levels from infancy. as a feed back. As preseanted soft symptoms accumulate, the experts diagnosis converge upon a most probable category.
In this way, the student learn the differential weightings different signs through experience.
Although numerical validity data cannot be provided at this stage, this program was effective in training students to judge more like experts.
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