Research on acceptance analysis of application programming learning platform for industrial robots
Abstract
Several factors (behavioral intention, effort expectation and performance expectation) in UTAUT (Integrated Technology Acceptance
Model) were used for data analysis using T-test. Results The experimental results showed that students had higher behavioral intention to
the entity model, higher eff ort expectation and performance expectation to the entity model, and the diff erence was signifi cant. Compared
with the virtual 3D model, students prefer the physical device that can be held in their hands and operated. Conclusion In the design of robot
application programming teaching platform, we should appropriately introduce the teaching link of solid model, and combine the advantages
of virtual model and solid model.
Keywords
Full Text:
PDFReferences
[1] Minghui Zheng. Research on Teaching Reform of Robot Programming and Operation Training Course [J]. Equipment Manufacturing
Technology,2020(10):200-203.
[2] Jing Wang, Aihong Zhu. Empirical study on Usage intention of Package recycling function express cabinet based on UTAUT model [J]. Packaging
Engineering, 2019, 40(17): 131-137.
[3] Gengxing Luo,Dacheng Li. Research on Training of Professional Talents of Industrial Robot Technology in Higher Vocational Colleges Based on
Industrial Demand -- A case study of Foshan City [J]. Vocational Education Research, 2016(08): 36-40.
[4] Huiyan Wang. Research on development status and countermeasures of strategic emerging industrial clusters of Intelligent Robots in Guangdong Province
[J]. Guangdong Economy, 2020(12): 24 -- 29.
[5] Yongtao Guo,Hongtao Tang. Research report on the construction of Industrial Robot Professional Training base [J]. Economic and Trade Practice,
2015(13): 281+283.
[6] Cuixia Hao,Hui Ye. Research on Virtual Simulation Teaching of Industrial Robot Training Course [J]. Experimental Technology and Management, 2018,
35(06): 144 -- 146.
[7] Zhongkun Hou. Research on Six-degree-of-freedom teaching Robot arm System [D]. Chengdu: Southwest Jiaotong University, 2011:39 -- 44.
DOI: https://doi.org/10.18686/esta.v10i4.589
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Hansheng Yan,Teng Zhu,Po Zhang,Li Pan