Demographic Variables, Experience, Aptitudes and Attitudes as Predictors of Teachers' Learning about Computers [electronic resource] / Glenn E. Snelbecker and Others.
This study was conducted to examine the extent to which one's demographic characteristics, previous experience, aptitudes, and attitudes may be indicative of probable success in learning about computers. Information was derived from two National Science Foundation (NSF)-funded programs designed...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
[S.l.] :
Distributed by ERIC Clearinghouse,
1992.
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| Subjects: |
MARC
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| 100 | 1 | |a Snelbecker, Glenn E. | |
| 245 | 1 | 0 | |a Demographic Variables, Experience, Aptitudes and Attitudes as Predictors of Teachers' Learning about Computers |h [electronic resource] / |c Glenn E. Snelbecker and Others. |
| 260 | |a [S.l.] : |b Distributed by ERIC Clearinghouse, |c 1992. | ||
| 300 | |a 14 p. | ||
| 500 | |a ERIC Document Number: ED344877. | ||
| 500 | |a ERIC Note: Paper presented at the Annual Meeting of the American Educational Research Association (San Francisco, CA, April 23, 1992). "Filled" type throughout document. |5 ericd. | ||
| 520 | |a This study was conducted to examine the extent to which one's demographic characteristics, previous experience, aptitudes, and attitudes may be indicative of probable success in learning about computers. Information was derived from two National Science Foundation (NSF)-funded programs designed to retrain experienced teachers to become K-12 computer science teachers. In these programs, employed teachers, certified in other areas, took a series of courses to become qualified to teach computer science and to serve as computer resource persons at either the elementary or secondary level. Subjects in the current study are high school teachers (N=42) and elementary school teachers (N=47), who completed the NSF program and the Computer Attitude Scale, the Computer Aptitude, Literacy and Interest Profile, and a series of questionnaires. Results indicate that some kind of previous experience with computers is predictive of successful achievement, but which experiences are most important is not clear. (LL) | ||
| 650 | 1 | 7 | |a Aptitude. |2 ericd. |
| 650 | 1 | 7 | |a Aptitude Treatment Interaction. |2 ericd. |
| 650 | 0 | 7 | |a Computer Literacy. |2 ericd. |
| 650 | 1 | 7 | |a Computer Science Education. |2 ericd. |
| 650 | 0 | 7 | |a Elementary School Teachers. |2 ericd. |
| 650 | 0 | 7 | |a Elementary Secondary Education. |2 ericd. |
| 650 | 0 | 7 | |a Higher Education. |2 ericd. |
| 650 | 0 | 7 | |a Inservice Teacher Education. |2 ericd. |
| 650 | 1 | 7 | |a Microcomputers. |2 ericd. |
| 650 | 1 | 7 | |a Predictor Variables. |2 ericd. |
| 650 | 0 | 7 | |a Secondary School Teachers. |2 ericd. |
| 650 | 0 | 7 | |a Teacher Attitudes. |2 ericd. |
| 650 | 1 | 7 | |a Teacher Characteristics. |2 ericd. |
| 650 | 0 | 7 | |a Teaching Experience. |2 ericd. |
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