Barton (1987) found that leadership groups are generally more informed about biotechnology than the general public, and are more likely to see that benefits outweigh risks. Hoban (1990) reported in a major study conducted in North Carolina that public knowledge of genetic engineering is generally low. Since agricultural educators will likely serve a vital role as interpreters of biotechnology to their students and to their communities, it is important that teachers of agriculture understand and have appropriate attitudes (e.g., willingness to study the issues, acceptance of new concepts, etc.) toward the subject. At present, not much is known about teacher attitudes toward the new biotechnology. Martin, et. al. (1989) in a national study, and Malpiedi-Kirby (1990) in North Carolina, found generally positive teacher attitudes toward agriscience instruction in agricultural education, of which the new biotechnology is a part. State leaders need reliable data on which to plan preservice and inservice education programs on biotechnology and related curriculum development. Therefore, baseline data such as in this study are needed to fill the void.
PURPOSE AND OBJECTIVES
The primary purpose of the study was to determine the attitudes of teachers of agriculture toward biotechnology. Specific objectives were to:
a) determine teacher interest in biotechnology; b) assess teacher knowledge of biotechnology; c) learn the information sources teachers used to gain knowledge of biotechnology; d) ascertain teacher acceptance of biotechnology; and e) consider the effects of demographics on teacher attitudes toward biotechnology.
PROCEDURES
This was a descriptive study involving self-assessment on a structured written instrument. The population consisted of teachers of agriculture in the states of Georgia, Maryland and Tennessee. Questionnaires were distributed to those teachers of agriculture aattending their respective summer inservice conferences. Social Security numbers on the returns were used to identify respondents. To insure that the sample was representative of the population, a mailed follow-up was made to a 50% random sample of nonrespondents. Response from the initial mailing was 51.4%. After four weeks, a telephone follow-up was made to a 10% random sample of nonrespondents. When no significant differences were noted on 15 demographic and response variables, the data from those responding to the follow-ups were combined with the returns from the original respondents. Thus, nearly two-thirds (422 or 66.3%) of the teachers of agriculture in the three states provided data for the study.
Data were collected using the Inventory of Biotechnology in Agricultural Education, as developed by the researchers from the literature and their own education/experience. The Inventory was made up of four sections: Introduction/Directions, Personal Interest in and Knowledge of Biotechnology, Professional Preparation/Involvement in Biotechnology, and Demographics. The instrument was reviewed for content validity by a panel of experts from the University who were involved in research, agriculture, education and biotechnology; their suggestions were incorporated into the final version of the questionnaire. The instrument was trial tested for readability with the 26 enrollees in a graduate course in Agricultural Education. Data were collected during the late summer and fall of 1990. Analysis revealed high reliability --a Cronbach's alpha of .87 for all parts.
ANALYSIS OF DATA
Primarily descriptive statistics -- count, means, medians, frequencies, percentages and Chi square -- were used to analyze the data. Significant differences in means were determined by using t-tests and analysis of variance.
RESULTS
Demographics. Respondents ranged in age from 22-70 years; median age was 39.5 years. Females made up just 7.3% of respondents. Ninety-three percent of the group were Caucasian; the largest minority group was African-American at 4.8%; the next largest minority was American Indian at 1.7%.
Most respondents (50.9%) held masters degrees; 36.5% had bachelors degrees, 8.0% had education specialist degrees and just 2.9% had doctorates. Respondents originated primarily (83%) from the states of Georgia, Maryland, and Tennessee. Experience levels ranged from less than one year to 44 years; the median was 11 years. One-fifth (22.3%) reported experience in teaching other subjects, while eight out of ten (79%) reported other experience, including farming, government, and industry. Most respondents (89.7%) were in A, AA or AAA schools; but 10.3% were in very large systems (AAAA). Median enrollment was 100 students in agriculture. One-half (51.3%) of all participants were in single teacher departments. Agricultural production (50.7%), agricultural mechanics (46.9%) and horticulture (35.3%) were the most common specialties reported. Most respondents (72.5%) were employed for 12 months; however, 16% were on 10 month contracts.
Interest and Knowledge Levels. Mean ratings of perceived interest and knowledge may be viewed in Table 1. In every category mean interest levels were significantly higher (p<.05) than mean knowledge levels.
Sources of knowledge. The major sources of information on the new biotechnology used by teachers of agriculture in the three states were as follows: newspapers, 79.6%; agricultural journals, 79.4%; television, 63.5%; inservice workshops, 34.4%; education journals, 32.9%; radio, 31.3%; graduate courses, 15.6%; undergraduate courses, 14.0%; and employment in biotechnology, 5.7%. The providers of information on biotechnology that were most trusted by respondents are indicated in Table 2.
Table 1
Level of interest in and knowledge of biotechnology held by teachers of agriculture (N=422)
| Category | Interest | Knowledge | Sig.* | ||||
|---|---|---|---|---|---|---|---|
| n | M | SD | n | M | SD | ||
| Animal Biotechnology | 404 | 4.1 | 1.1 | 411 | 2.8 | 1.1 | 0.0001 |
| Plant Biotechnology | 404 | 4.0 | 1.1 | 411 | 2.6 | 1.0 | 0.0001 |
| Regulations and Safety | 400 | 3.5 | 1.1 | 409 | 2.2 | 1.0 | 0.0001 |
| Bio-chemical Production/Modification of Materials | 405 | 3.4 | 1.1 | 411 | 2.0 | 1.0 | 0.0001 |
| Waste Management and Treatment | 401 | 3.4 | 1.2 | 408 | 1.9 | 1.0 | 0.0001 |
| Human Health Care | 402 | 3.2 | 1.2 | 408 | 2.1 | 1.1 | 0.0001 |
| Bioengineering | 402 | 2.8 | 1.3 | 407 | 1.9 | 1.0 | 0.0001 |
Table 2
Most trusted providers of information reported by teachers of agriculture (N=422)
| Category |
|
|
|
|
| University/college |
|
|
|
|
| Agricultural journals/newsletters |
|
|
|
|
| Cooperative Extension Service |
|
|
|
|
| Education journals/newsletters |
|
|
|
|
| U.S. government agencies |
|
|
|
|
| Colleagues |
|
|
|
|
| State government agencies |
|
|
|
|
| Companies selling biotechnology products/services |
|
|
|
|
| Other |
|
|
|
|
Most respondents (78.9%) reported that modern biotechnology was being incorporated into the agriculture curriculum. The major means of incorporation are detailed, by state, in Table 3.
Table 3
Methods reported by teachers for incorporation of biotechnology into the agriculture curriculum (N=422)
| Method of Incorporation | All | Georgia | Maryland | Tennessee | ||||
|
|
|
|
|
|
|
|
|
|
| Infused into regular agriculture classes |
224
|
53.1
|
87
|
48.9
|
37
|
59.7
|
99
|
55.3
|
| Units on biotechnology are taught in selected classes |
95
|
22.5
|
25
|
14.0
|
19
|
30.6
|
50
|
27.9
|
| Selected lessons on biotechnology are taught in all classes |
87
|
20.6
|
27
|
15.2
|
18
|
29.0
|
42
|
23.5 |
| Courses in biotechnology are taught on quarter, semester, or annual bases |
16
|
3.8
|
6
|
3.4
|
7
|
11.3
|
3
|
1.7
|
| Other |
16
|
3.8
|
5
|
2.8
|
2
|
3.2
|
9
|
5
|
Respondents indicated that their plans for changes in the curriculum were as follows: a) to add emphasis, 69.4%; b) to keep about the same emphasis, 29.5%; and c) to reduce emphasis, 1%. These data and state totals are indicated in Table 4.
Table 4
Planned changes in the curriculum reported by respondents (N=422)
| Response | All | Georgia | Maryland | Tennessee | ||||
|
|
|
|
|
|
|
|
|
|
| Add emphasis in biotechnology |
|
|
|
|
|
|
|
|
| Keep about same emphasis |
|
|
|
|
|
|
|
|
| Reduce emphasis on biotechnology |
|
|
|
|
|
|
|
|
Table 5
Factors affecting respondents' decisions to teach biotechnology. (N=422)
| Factor | All | Georgia | Maryland | Tennessee | F | ||||||||
|
|
|
|
|
|
|
|
|
|
|
|
|
||
| Availability of teaching materials |
327
|
3.9
|
1.2
|
127
|
3.8
|
1.2
|
49
|
4.3
|
1.0
|
149
|
3.9
|
1.2
|
2.45
|
| Funding for equipment/supplies |
314
|
3.9
|
1.3
|
120
|
3.8
|
1.3
|
49
|
4.0
|
1.2
|
143
|
3.9
|
1.3
|
0.09
|
| Provisions for inservice/update training |
321
|
3.6
|
1.4
|
126
|
3.7
|
1.3
|
50
|
4.1
|
1.1
|
143
|
3.3
|
1.4
|
9.08*
|
| Ability level of students |
328
|
3.5
|
1.4
|
126
|
3.3
|
1.5
|
49
|
3.7
|
1.5
|
151
|
3.6
|
1.3
|
2.49
|
| Preparation time |
314
|
3.1
|
1.3
|
122
|
3.1
|
1.4
|
49
|
3.2
|
1.4
|
141
|
3.0
|
1.2
|
0.75
|
| Size of class/enrollment |
306
|
2.5
|
1.4
|
117
|
2.4
|
1.4
|
49
|
2.6
|
1.5
|
138
|
2.5
|
1.3
|
0.01
|
| Community attitudes toward biotechnology |
296
|
2.4
|
1.3
|
115
|
2.5
|
1.3
|
46
|
1.9
|
1.3
|
133
|
2.4
|
1.3
|
3.22*
|
| Other |
17
|
2.9
|
1.5
|
7
|
3.7
|
1.7
|
2
|
1.0
|
0.0
|
8
|
2.6
|
0.9
|
3.54
|
Respondents' evaluations of the extent to which biotechnology would affect various aspects of the program are displayed in Table 6.
Enhanced student knowledge of agriculture and improved prestige of the program were seen as positive results by a majority of respondents; SAEP and FFA activities were believed to be less affected.
Table 6
Effects of biotechnology in the curriculum on various aspects of the local Agricultural Education program as perceived by respondents (N=422)
| Aspects of Program | Little......................................................................................................................................................Much | |||||||
|
|
|
|
|
|
|
|
|
|
| Student understanding of agriculture |
346
|
42
|
33
|
101
|
109
|
61
|
3.3
|
1.2
|
| Prestige for the program |
331
|
62
|
39
|
86
|
88
|
56
|
3.1
|
1.3
|
| Recruitment of students |
340
|
106
|
45
|
90
|
55
|
44
|
2.7
|
1.4
|
| Student retention |
317
|
70
|
64
|
96
|
59
|
28
|
2.7
|
1.2
|
| Supervised agricultural experience programs |
330
|
112
|
66
|
82
|
55
|
15
|
2.4
|
1.2
|
| FFA Activities |
331
|
116
|
74
|
74
|
37
|
10
|
2.2
|
1.1
|
| Other |
12
|
8
|
0
|
0
|
1
|
1
|
1.9
|
1.4
|