Intelligent Computer-Aided Instruction Modeling and a Method to Optimize Study Strategies for Parallel Robot Instruction
Bibliographic Data
| ID | 20296291 |
|---|---|
| Authors | Da-Peng Tan, Dapeng Tan (0000-0002-6018-9648, Zhejiang University of Technology), Shi-Ming Ji, Shiming Ji (0000-0002-9353-2908, Ministry of Education of the People's Republic of China), Ming-Sheng Jin, Mingsheng Jin (0000-0002-0121-3150, Ministry of Education of the People's Republic of China) |
| Year | 2013 |
| Volume | 56 |
| Issue | 3 |
| Pages | 268-273 |
| Publication date | 2013-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Transactions on Education (JOURNAL) |
| Journal identifiers | ISSN: 0018-9359 • E-ISSN: 1557-9638 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/te.2012.2212707 |
| OpenAlex | W2089497323 |
| Language | EN |
| Citations received | 2 |
| References cited | 15 |
Parallel robots are known for their strong bearing capability and high kinematic accuracy, but they are relatively difficult to design and to teach. This paper addresses this difficulty by presenting an intelligent computer-aided instruction (ICAI) modeling method for parallel robot instruction. The paper analyzes, with reference to their incoming educational profile, Mechatronics students' cognitive processes while acquiring knowledge of parallel robots; it also compares the educational benefits of various methods of teaching this topic. The ICAI model for teaching parallel robots is rooted in machine learning, using information fusion methods based on an artificial neural network (ANN). Two terms of using the ICAI model have validated the method's effectiveness in teaching parallel robots, providing a rational study strategy and improving the students' learning process
Artificial neural network · Control engineering · Human–computer interaction · Mechatronics · Parallel manipulator · Process (computing) · Programming language · Robot · Artificial Intelligence · Computer Science · Engineering · Industrial Automation and Control Systems · Mechatronics Education and Applications · Robotic Mechanisms and Dynamics
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| Unique citing works | 2 |
|---|---|
| Citations per year | 0,17 |
| Citation span | 2014 - 2020 (7) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |