TY - GEN
T1 - Using AHP to project-based learning develop in machinery manufacturing of technology universities students
AU - Chen, Dyi Cheng
AU - You, Ci Syong
AU - Huang, Ying Chia
PY - 2017/1/1
Y1 - 2017/1/1
N2 - While Project-based learning applications have been extensively investigated, the machinery manufacturing for technology universities students is unexplored. First, this study collects the status of machinery manufacturing, the scope of technical knowledge of machinery manufacturing and the relevant literature on Project-based learning performance. Project-based learning has used in the generation of novel ideas for student. In addition, this study involves a quantitative and qualitative content analysis of relevant documents, textbooks and teaching objectives of machinery manufacturing performance, which includes Objectives knowledge, Type of Problems and Projects, Progression, Size and Duration, in 7 hierarchies and 25 indexes. Second, this study assesses these criteria by employing the analytic hierarchy process (AHP) technique to solicit opinions from 10 experts by using questionnaires. Results show that Type of Problems and Projects, Students’ Learning, Objectives knowledge, Progression, Size and Duration, Academic Staff and Facilitation, Assessment and Evaluation (0.090), Space and Organization, have weights of 0.215, 0.190, 0.185, 0.131, 0.101, 0.090, 0.088 respectively.
AB - While Project-based learning applications have been extensively investigated, the machinery manufacturing for technology universities students is unexplored. First, this study collects the status of machinery manufacturing, the scope of technical knowledge of machinery manufacturing and the relevant literature on Project-based learning performance. Project-based learning has used in the generation of novel ideas for student. In addition, this study involves a quantitative and qualitative content analysis of relevant documents, textbooks and teaching objectives of machinery manufacturing performance, which includes Objectives knowledge, Type of Problems and Projects, Progression, Size and Duration, in 7 hierarchies and 25 indexes. Second, this study assesses these criteria by employing the analytic hierarchy process (AHP) technique to solicit opinions from 10 experts by using questionnaires. Results show that Type of Problems and Projects, Students’ Learning, Objectives knowledge, Progression, Size and Duration, Academic Staff and Facilitation, Assessment and Evaluation (0.090), Space and Organization, have weights of 0.215, 0.190, 0.185, 0.131, 0.101, 0.090, 0.088 respectively.
UR - http://www.scopus.com/inward/record.url?scp=85041447176&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85041447176&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-71084-6_17
DO - 10.1007/978-3-319-71084-6_17
M3 - Conference contribution
AN - SCOPUS:85041447176
SN - 9783319710839
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 154
EP - 160
BT - Emerging Technologies for Education - 2nd International Symposium, SETE 2017, Held in Conjunction with ICWL 2017, Revised Selected Papers
A2 - Huang, Tien-Chi
A2 - Lau, Rynson
A2 - Huang, Yueh-Min
A2 - Spaniol, Marc
A2 - Yuen, Chun-Hung
PB - Springer Verlag
T2 - 2nd International Symposium on Emerging Technologies for Education, SETE 2017, held in Conjunction with the 16th International Conference on Web-based learning, ICWL 2017
Y2 - 20 September 2017 through 22 September 2017
ER -