Using AHP to project-based learning develop in machinery manufacturing of technology universities students

Dyi-Cheng Chen, Ci Syong You, Ying Chia Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationEmerging Technologies for Education - 2nd International Symposium, SETE 2017, Held in Conjunction with ICWL 2017, Revised Selected Papers
EditorsTien-Chi Huang, Rynson Lau, Yueh-Min Huang, Marc Spaniol, Chun-Hung Yuen
PublisherSpringer Verlag
Pages154-160
Number of pages7
ISBN (Print)9783319710839
DOIs
Publication statusPublished - 2017 Jan 1
Event2nd International Symposium on Emerging Technologies for Education, SETE 2017, held in Conjunction with the 16th International Conference on Web-based learning, ICWL 2017 - Cape Town, South Africa
Duration: 2017 Sep 202017 Sep 22

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10676 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Symposium on Emerging Technologies for Education, SETE 2017, held in Conjunction with the 16th International Conference on Web-based learning, ICWL 2017
CountrySouth Africa
CityCape Town
Period17-09-2017-09-22

Fingerprint

Project-based Learning
Analytic hierarchy process
Analytic Hierarchy Process
Machinery
Manufacturing
Students
Progression
Content Analysis
Student Learning
Textbooks
Qualitative Analysis
Questionnaire
Teaching
Universities
Evaluation
Knowledge

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Chen, D-C., You, C. S., & Huang, Y. C. (2017). Using AHP to project-based learning develop in machinery manufacturing of technology universities students. In T-C. Huang, R. Lau, Y-M. Huang, M. Spaniol, & C-H. Yuen (Eds.), Emerging Technologies for Education - 2nd International Symposium, SETE 2017, Held in Conjunction with ICWL 2017, Revised Selected Papers (pp. 154-160). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10676 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-71084-6_17
Chen, Dyi-Cheng ; You, Ci Syong ; Huang, Ying Chia. / Using AHP to project-based learning develop in machinery manufacturing of technology universities students. Emerging Technologies for Education - 2nd International Symposium, SETE 2017, Held in Conjunction with ICWL 2017, Revised Selected Papers. editor / Tien-Chi Huang ; Rynson Lau ; Yueh-Min Huang ; Marc Spaniol ; Chun-Hung Yuen. Springer Verlag, 2017. pp. 154-160 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Chen, D-C, You, CS & Huang, YC 2017, Using AHP to project-based learning develop in machinery manufacturing of technology universities students. in T-C Huang, R Lau, Y-M Huang, M Spaniol & C-H Yuen (eds), Emerging Technologies for Education - 2nd International Symposium, SETE 2017, Held in Conjunction with ICWL 2017, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10676 LNCS, Springer Verlag, pp. 154-160, 2nd International Symposium on Emerging Technologies for Education, SETE 2017, held in Conjunction with the 16th International Conference on Web-based learning, ICWL 2017, Cape Town, South Africa, 17-09-20. https://doi.org/10.1007/978-3-319-71084-6_17

Using AHP to project-based learning develop in machinery manufacturing of technology universities students. / Chen, Dyi-Cheng; You, Ci Syong; Huang, Ying Chia.

Emerging Technologies for Education - 2nd International Symposium, SETE 2017, Held in Conjunction with ICWL 2017, Revised Selected Papers. ed. / Tien-Chi Huang; Rynson Lau; Yueh-Min Huang; Marc Spaniol; Chun-Hung Yuen. Springer Verlag, 2017. p. 154-160 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10676 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Chen D-C, You CS, Huang YC. Using AHP to project-based learning develop in machinery manufacturing of technology universities students. In Huang T-C, Lau R, Huang Y-M, Spaniol M, Yuen C-H, editors, Emerging Technologies for Education - 2nd International Symposium, SETE 2017, Held in Conjunction with ICWL 2017, Revised Selected Papers. Springer Verlag. 2017. p. 154-160. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-71084-6_17