Big Data Course Multidimensional Evaluation Model based on Knowledge Graph enhanced Transformer
Based on the positioning of training application-oriented and innovative talents in the field of big data, this article aims to address the current situation where the theoretical system of big data course is not complete, the experimental system is unreasonable, and the assessment indicators are no...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co. Ltd.
2024-01-01
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| Series: | Cognitive Robotics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266724132400017X |
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| _version_ | 1850119160603869184 |
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| author | Ning Liu Yeyangyi Xiang Fei Wang Shuyu Cao |
| author_facet | Ning Liu Yeyangyi Xiang Fei Wang Shuyu Cao |
| author_sort | Ning Liu |
| collection | DOAJ |
| description | Based on the positioning of training application-oriented and innovative talents in the field of big data, this article aims to address the current situation where the theoretical system of big data course is not complete, the experimental system is unreasonable, and the assessment indicators are not perfect. A Transformer based “1 + 1 + N” big data course unified system and multidimensional evaluation model is constructed, reforms and practices are carried out in terms of improving the course theoretical system, increasing unit experiments and comprehensive experiment cases, and improving process assessment. The Transformer based multi-dimensional evaluation model of the big data course is proposed to solve the current problems of heavy theory and light practice, heavy standardization assessment and light innovation ability training in the course. The proposed course unified system and multidimensional evaluation model had achieved remarkable results, effectively increasing students’ construction of the big data professional knowledge system, enhancing students’ subjective initiative in learning the course, and significantly improving students’ innovative ability and ability to comprehensively solve practical problems. |
| format | Article |
| id | doaj-art-2c3cb1c8dde645ce99c5ac1193b9599b |
| institution | OA Journals |
| issn | 2667-2413 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | KeAi Communications Co. Ltd. |
| record_format | Article |
| series | Cognitive Robotics |
| spelling | doaj-art-2c3cb1c8dde645ce99c5ac1193b9599b2025-08-20T02:35:43ZengKeAi Communications Co. Ltd.Cognitive Robotics2667-24132024-01-01423724410.1016/j.cogr.2024.11.003Big Data Course Multidimensional Evaluation Model based on Knowledge Graph enhanced TransformerNing Liu0Yeyangyi Xiang1Fei Wang2Shuyu Cao3Corresponding author.; School of Information Science and Technology, Beijing Forestry University, No.35 Qinghua East Road, Haidian District, Beijing, 100091, ChinaSchool of Information Science and Technology, Beijing Forestry University, No.35 Qinghua East Road, Haidian District, Beijing, 100091, ChinaSchool of Information Science and Technology, Beijing Forestry University, No.35 Qinghua East Road, Haidian District, Beijing, 100091, ChinaSchool of Information Science and Technology, Beijing Forestry University, No.35 Qinghua East Road, Haidian District, Beijing, 100091, ChinaBased on the positioning of training application-oriented and innovative talents in the field of big data, this article aims to address the current situation where the theoretical system of big data course is not complete, the experimental system is unreasonable, and the assessment indicators are not perfect. A Transformer based “1 + 1 + N” big data course unified system and multidimensional evaluation model is constructed, reforms and practices are carried out in terms of improving the course theoretical system, increasing unit experiments and comprehensive experiment cases, and improving process assessment. The Transformer based multi-dimensional evaluation model of the big data course is proposed to solve the current problems of heavy theory and light practice, heavy standardization assessment and light innovation ability training in the course. The proposed course unified system and multidimensional evaluation model had achieved remarkable results, effectively increasing students’ construction of the big data professional knowledge system, enhancing students’ subjective initiative in learning the course, and significantly improving students’ innovative ability and ability to comprehensively solve practical problems.http://www.sciencedirect.com/science/article/pii/S266724132400017XBig dataTransformerMultidimensional evaluation modelKnowledge GraphProcess Assessment |
| spellingShingle | Ning Liu Yeyangyi Xiang Fei Wang Shuyu Cao Big Data Course Multidimensional Evaluation Model based on Knowledge Graph enhanced Transformer Cognitive Robotics Big data Transformer Multidimensional evaluation model Knowledge Graph Process Assessment |
| title | Big Data Course Multidimensional Evaluation Model based on Knowledge Graph enhanced Transformer |
| title_full | Big Data Course Multidimensional Evaluation Model based on Knowledge Graph enhanced Transformer |
| title_fullStr | Big Data Course Multidimensional Evaluation Model based on Knowledge Graph enhanced Transformer |
| title_full_unstemmed | Big Data Course Multidimensional Evaluation Model based on Knowledge Graph enhanced Transformer |
| title_short | Big Data Course Multidimensional Evaluation Model based on Knowledge Graph enhanced Transformer |
| title_sort | big data course multidimensional evaluation model based on knowledge graph enhanced transformer |
| topic | Big data Transformer Multidimensional evaluation model Knowledge Graph Process Assessment |
| url | http://www.sciencedirect.com/science/article/pii/S266724132400017X |
| work_keys_str_mv | AT ningliu bigdatacoursemultidimensionalevaluationmodelbasedonknowledgegraphenhancedtransformer AT yeyangyixiang bigdatacoursemultidimensionalevaluationmodelbasedonknowledgegraphenhancedtransformer AT feiwang bigdatacoursemultidimensionalevaluationmodelbasedonknowledgegraphenhancedtransformer AT shuyucao bigdatacoursemultidimensionalevaluationmodelbasedonknowledgegraphenhancedtransformer |