| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Editor’s Note: If you cannot see the forest for the tress, it is time to take a broader view and reassess. This study tracks changes in educational philosophy and training programs in Taiwan for the past 20 years. The Trend Analysis of Long-term Changes |
Curriculum Comparison Project | Industrial Arts Curriculum | Living Technology Curriculum | Domain of Natural Science and Living Technology: Living Technology Curriculum |
Implementation Time | Before 1995 | From 1996 to 2001 | After 2002 |
Teaching Object | Male student-centered | Male and female are grouped together and equally important | Male and female are grouped together and equally important |
Knowledge Base | Life skills | Living technology systems | Natural science and living technology of integrated instruction |
Teaching Objectives | Through the tools, machines and materials to use, technology literacy training | The whole concept of learning technology systems, science and technology literacy training | 1. To train for interest in science, develop the habit of constant study. 2. By Learning the Science and Technology of the inquiry approach and the basic knowledge, students can apply their knowledge in current and future life. 3. To train for loving the environmental resources and have an attitude of respect for life. 4. To train for independent thinking, problem solving skills. 5. To explore the interaction between people and technology. |
Table 1 for the three stages of curriculum: objectives, content, and implementation methods, a comparison can be found: the teaching goal is to follow the evolution of social changes and response measures derived from the use of skilled technical training tools, from the bottom of the inherent right to technology to realize the conservation of culture, the last to develop and adapt to society as the goal of fostering the capacity-building approach to target the needs of today's social scientific and technological personnel, but also significant considerations tend to solve problems, curriculum change and social development of technological process to each other.
The computerization periodical was borrowed from the "US Electronic Information Exchange System" plans in 1976 (Turoff and Hiltz, 1982). The Taiwan National Library started in 1970 to distribute the paper book, "Taiwan periodical paper citation index", and, in 1998, distributed the World Wide Web (WWW) altogether to include the periodical 4,813 journals, and 2,286,495 papers in December 2009 (Taiwan Periodical Literature System, 2010). "Taiwan Periodical Literature System" is mainly offered in Chinese and foreign languages in Taiwan, published in academic journals, professional journals, journals and some journals published in Hong Kong and Macao, which contain contents that can be divided into scholastic articles and general articles, including the rigorous review by the National Science Council of the TSSCI (Taiwan Social Sciences Citation Index, i.e., Taiwan's SSCI) journals (showed in Figure 2).
The samples for this research were selected from "Taiwan Periodical Literature" about "technology education" title from 1976 to
The study was implemented through the procedures. The whole process was divided into seven phases:
The first step in planning the study is to define the problem.
Whenever new ideas appeared, the researcher discussed these with the advisor in order to understand the possibility of transforming the ideas into the research topic about "technology education".
The material which is collected makes the record. It also serves as a permanent record of the original study objectives and the study methods and procedures.
Compute for frequency and percentage of category.
Analysis: use content analysis.
Analyze and interpret the results.
Discussion and conclusions.
Content analysis is a research technique that can produce insightful and valid inferences from "naturally" occurring raw data of textual materials (Shi et al., 2006). Neuman (1997) defined content analysis as: A technique for gathering and analyzing the content of text. The "content" refers to words, meanings, pictures, symbols, ideas, themes, or any message that can be communicated. It defines the analysis units and establishes the categories, that is, the outstanding repeated elements, for analyzing the raw data (Frank, 2005). Content analysis of published articles in academic journals has been conducted in a variety of professional fields where these studies provided insightful information about overall research trends and identified important scholars and papers (Shih, Feng, & Tsai, 2008). It is primarily concerned with the study of basic concept categories, which occur in any text or document which the researcher searches for structures and patterned regularities in the text and makes inferences on the basis of these regularities (Gokhale, Deokattey, & Kumar, 2006). Content analysis including three steps: open coding, axial coding, and selective coding, it would be step by step to complete. Content analysis, a research method, is consistent with the goals and standards of survey research. In a content analysis, an attempt is made to measure all variables as they naturally or normally occur. Some types of random sampling of the units of data collection is typical, making the findings generalized compared to a larger grouping or population of messages (Holsti, 1969). Therefore, the process of coding is basically one of selective reduction, which is the central idea in content analysis (Prasad, 2009).
This study used the "Taiwan Periodical Literature System" as inspection tool, and analyses the papers that were entitled with "technology education". Two hundred and seventy two papers were adapted from 87 journals between 1976 and 2009. The researcher uses conceptualization, as well as coding skill. 272 papers after open coding, implements axial coding, and by ITEA(1995) and Cajas(2000) proposed that suggested to the technical study and the technology education's research, discovers common and the different point, the concept changes into nine categories, such as Table 2:
Coding No. | Category name |
01 | Technology education concepts |
02 | Technology education strategy |
03 | Technology education development |
04 | Technology education review |
05 | Technology education problem solving |
06 | Foreign technology education |
07 | Comparison of |
08 | Technology education curriculum and instruction |
09 | Technology education for teacher education and training |
This criterion is concerned with whether codes agree as to the precise values assigned to a given variable, Holsti”s method (1969): in cases in which two coders code the same units (which is the recommended method), this is equal to percent agreement. A conceptual formula for percent agreement could be written as follows:
PA=[2X/(Y+Z)]x100
PA stands for "proportion agreement, observed," X is the number of agreements between two coders, and Y and Z are the number of units coded by coders Y and Z, respectively. This statistic also ranges from .00 (no agreement) to 1.00 (perfect agreement).
Reliability should be assessed at two points in a content analysis. A formula and Table 3 follow:
[N*(PA)]/[1+(N-1)*(PA)]……………..….n is the total number of coders
coder | coder1 | coder2 |
coder2 | 0.84 | ---------- |
coder3 | 0.82 | 0.80 |
Average PA=(0.84+0.82+0.80)/3=0.82
Content reliability=3* 0.82 / [1+(3-1)* 0.82]=0.93
Table 4 and Figure 3 illustrate the number of studies on "technology education" from 1976 to 2009. In the longitudinal aspect, the number of studies on "technology education" has decreased in recent years. From the quantitative data, the number of studies from 1976 to 1980 (7 papers, 2.57%), from 1981 to 1985 (5 papers, 1.84%), and from 1986 to 1990 (3 papers, 1.10%); then comes from 1991 to 1995 (95 papers, 34.93%) and from 1996 to 2000 (95 papers, 34.93%), these two groups of papers were the most, and finally, comes from 2001 to 2005 (49 papers, 18.01%) and from 2006 to 2009 (18 papers, 6.62%). Actually, from 2001 to 2005 the number of papers on "technology education" decreased about 41.08%, and from 2005 to 2009 the number of papers decreased about 63.24%.
Years | Papers | Percentages |
1976-1980 | 7 | 2.57% |
1981-1985 | 5 | 1.84% |
1986-1990 | 3 | 1.10% |
1991-1995 | 95 | 34.93% |
1996-2000 | 95 | 34.93% |
2001-2005 | 49 | 18.01% |
2006-2009 | 18 | 6.62% |
Total papers | 272 |
Table 5 showed the shifts of categories from 1976 to 2009. The categories "Technology education concepts" and "Foreign technology education" ranked top two, with the number of studies of 94 and 49 of the total research papers. The category, "Technology education concepts", consistently ranked top one from 1976 to 2009 with an average of 34.56% of the total research papers. This category had a descending trend within these years. The category "Foreign technology education" also ranked top two from 1976 to 2009, with an average of 18.01% of the total research papers. Otherwise, the category "Technology education for teacher education and training" consistently ranked last one from 1976 to 2009, with an average of 1.10% of the total research papers.
Ranks | Category name | Papers | Percentages |
1 | Technology education concepts | 94 | 34.56% |
2 | Foreign technology education | 49 | 18.01% |
3 | Technology education curriculum and instruction | 42 | 15.44% |
4 | Technology education development | 39 | 14.34% |
5 | Comparison of | 23 | 8.46% |
6 | Technology education strategy | 9 | 3.31% |
7 | Technology education problem solving | 8 | 2.94% |
8 | Technology education review | 5 | 1.84% |
9 | Technology education for teacher education and training | 3 | 1.10% |
This study used the "Taiwan Periodical Literature" as the inspection tool, and content analyses of the papers that were entitled “technology education". Two hundred and seventy-two papers were adapted from 87 journals between 1976 and 2009. Four findings were concluded. The result of this research will offer the trend of Technology Education as the result for the reference of further study.
After open coding, implements axial coding, and by ITEA(1995) and Cajas(2000) proposed that suggested to the technical study and the technology education's research, discovers common and the different point, the concept changes into nine categories.
The category "Technology education for teacher education and training" consistently ranked last from 1976 to 2009, with an average of 1.10% (only 3 papers) of the 272 papers.
From the quantitative standpoint, the numbers of studies from 1991 to 1995 and from 1996 to 2000 papers were the largest: 95 papers which equals 34.93% of the total papers. These results were consistent with 1990s Jackson's Mill II and the ITEA "technology is human innovation in action" in 1995.
The technology education papers decreased from 2001 to 2009 gradually: From 2001 to 2005 the technology papers decreased about 41.08%, and from 2005 to 2009 these papers decreased about 63.24%. The reason for the number decrease is that the technology education curriculum entitled, "Living Technology Curriculum" from 2001 to 2005was renamed in 2005 to "Domain of Natural Science and Living Technology: Living Technology Curriculum". Therefore, the number of researches in technology education was substantially reduced.
American Association for the Advancement of Science. (1993). Benchmarks for science literacy.
Cajas, F. (2000). Technology education research: potential directions. Journal of Technology Education, 12(1), 75-85.
Chang, C. H. (2005). Technology Education in Junior–high School-based Curriculum Development. Unpublished MA Thesis. Department of Industrial Technology Education,
Chiang, W. J., Weng, Y. Z., & Lo, Y. H. (2008). The reflection of technology education in
Druckman, D. (2002). Content analysis. In Kremenyuk, V. A. (eds). International Negotiation: Analysis, Approaches, Issues (2nd ed.), 288-312.
Fang, R. J., Teng, C. C., & Chen, C. C. (2007). How Taiwanese and Americans Think About Technology. Journal of Technology Education, 18(2), 7-23.
Frank, M. (2005). A Systems Approach for Developing Technological Literacy. Journal of Technology Education, 17(1), 19-34.
Gokhale, P. A., Deokattey, S., & Kumar, S. (2006).Accelerator driven systems (ADS) for energy production and waste transmutation: International trends in R&D. Progress in Nuclear Energy, 48(2), 91-102.
Holsti, O.R.(1969). Content analysis for the Social Sciences and Humanities.
International Technology Education Association. (1995). What is technology education?. Retrieved Dec 2, 2009, from the World Wide Web: http://www.iteaconnect.org/AboutITEA/about.htm
International Technology Education Association. (2000). Standards for technological literacy: Content for the study of technology.
Johnson, S. D. & Daugherty, J. (2008). Quality and Characteristics of Recent Research in Technology Education. Journal of Technology Education, 20(1), 16-31.
Lee, L.S. (1999). The Grade 1-9 curriculum,teaching,review of science and technology domain. Journal of Living Technology Education, 32(5). 2-6.
Lee, L-S. S. (1986). Development of industrial arts curriculum for junior high school in
Lin, K. Y. (2003).
Ministry of Education in
National Research Council [NRC]. (2002). Investigating the influence of standards: A framework for research in mathematics, science, and technology education. Committee on understanding the influence of standards on K-12 science, mathematics, and technology education.
Neuman, W. (1997). Social research methods: qualitative and quantitative approaches.
Prasad, D. (2009). Empirical Study of Teaching Presence and Critical Thinking in Asynchronous Discussion Forums. International Journal of Instructional Technology and Distance Learning, 6(11), 3-26.
Savage, E., & Sterry, L (1990). A conceptual framework for technology education. The Technology Teacher, 50 (1), 6-11.
Shavelson, R. J., & Towne, L. (Eds.). (2002). Scientific research in education. Committee on Scientific Principles for Education Research, National Research Council.
Shi, S., Mishra, P., Bonk, C. J., Tan, S., & Zhao, Y. (2006). Thread Theory: A Framework Applied to Content Analysis of Synchronous Computer Mediated Communication Data. International Journal of Instructional Technology and Distance Learning, 3(3), 17-38.
Shih, M., Feng, J., & Tsai C. C. (2008). Research and trends in the field of e-learning from 2001 to 2005: A content analysis of cognitive studies in selected journals. Computers & Education, 51(2), 955-967.
Stein, S. J., McRobbie, C. J., & Ginns,
Towne, L., Wise, L. L., & Winters, T. M. (Eds.). (2005). Advancing scientific research in education. Committee on Research in Education, National Research Council.
Turoff, Murray and Hiltz, Starr Roxanne.(1982). The Electronic Journal: A progress Report. Journal of the American Society for Information Science, Vol. 33, pp.195-202.
WANG, D.M. (2007). The elementary school science and technology educates the creation thinking curriculum design. Journal of Living Technology Education, 40(2). 11-17.
Warner,
Wicklein, R., Smith, P. C., Jr., & Kim, S. J. (2009). Essential Concepts of Engineering Design Curriculum in Secondary Technology Education. Journal of Technology Education, 20(2), 65-80.
Yu, C. (2005). Study on the development of industrial arts education in Taiwan.
Zhang, Y. H. (1999). The survey of teachers college students” technological attitude - Take national
Zuga, K.F. (1989). Relating technology education goals to curriculum planning. Journal of Technology Education, 1(1), 34-58.
Dr. Jia-Rong Wen is a Distinguished Professor at
Email: jerome@stu.edu.tw
Sheng-Huang Kuo is a PhD. Candidate in Educational Technology Division, Department of Industrial Technology Education,
Email: oxbridge.kuo@gmail.com