A Bayesian-based knowledge tracing model for improving safety training outcomes in construction: An adaptive learning framework
Safety training plays a pivotal role in effectively reducing unsafe behaviors in the construction industry. Despite the numerous effort to improve safety training, existing studies lacked consideration of trainees' different learning characters, nor did they adapt the suitable training material...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-03-01
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| Series: | Developments in the Built Environment |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266616592200045X |
| _version_ | 1811172183396843520 |
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| author | Sheng Xu Manfang Sun Weili Fang Ke Chen Hanbin Luo Patrick X.W. Zou |
| author_facet | Sheng Xu Manfang Sun Weili Fang Ke Chen Hanbin Luo Patrick X.W. Zou |
| author_sort | Sheng Xu |
| collection | DOAJ |
| description | Safety training plays a pivotal role in effectively reducing unsafe behaviors in the construction industry. Despite the numerous effort to improve safety training, existing studies lacked consideration of trainees' different learning characters, nor did they adapt the suitable training materials to trainees' mastery of safety knowledge. Against this contextual backdrop, this research proposes a Bayesian-based Knowledge Tracing (BKT) model to recommend personalized training materials according to trainees's learning progress. The proposed BKT model tracks and predicts trainees' performance with their cognitive characters, abilities, and historical training records. It also adjusts trainee's probability of mastering safety knowledge concepts for determining future training sessions. In this way, the safety training is adaptive and personalized, thus more effective. An exploration study is conducted in the laboratory environment to validate the effectiveness and feasibility of the proposed BKT model. The research results showed that 83.33% of the respondents felt gained safety knowledge after the training, and 66.67% of the respondents affirmed the effectiveness of the BKT model-based training system in improving the effectiveness of training. The results demonstrated that the proposed model performed well at educating safety knowledge and reducing unsafe behavior. |
| first_indexed | 2024-04-10T17:25:38Z |
| format | Article |
| id | doaj.art-235e6d3d38954315bdcdfcfc636f6d19 |
| institution | Directory Open Access Journal |
| issn | 2666-1659 |
| language | English |
| last_indexed | 2024-04-10T17:25:38Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Developments in the Built Environment |
| spelling | doaj.art-235e6d3d38954315bdcdfcfc636f6d192023-02-04T04:18:42ZengElsevierDevelopments in the Built Environment2666-16592023-03-0113100111A Bayesian-based knowledge tracing model for improving safety training outcomes in construction: An adaptive learning frameworkSheng Xu0Manfang Sun1Weili Fang2Ke Chen3Hanbin Luo4Patrick X.W. Zou5School of Economics and Management, Chang'an University, Xi'an, 710064, ChinaSchool of Economics and Management, Chang'an University, Xi'an, 710064, ChinaDepartment of Civil and Building Systems, Technische Universität Berlin, Gustav-Meyer-Allee 25, 13156, Berlin, Germany; Corresponding author.School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, 430074, Wuhan, ChinaSchool of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, 430074, Wuhan, ChinaSchool of Economics and Management, Chang'an University, Xi'an, 710064, ChinaSafety training plays a pivotal role in effectively reducing unsafe behaviors in the construction industry. Despite the numerous effort to improve safety training, existing studies lacked consideration of trainees' different learning characters, nor did they adapt the suitable training materials to trainees' mastery of safety knowledge. Against this contextual backdrop, this research proposes a Bayesian-based Knowledge Tracing (BKT) model to recommend personalized training materials according to trainees's learning progress. The proposed BKT model tracks and predicts trainees' performance with their cognitive characters, abilities, and historical training records. It also adjusts trainee's probability of mastering safety knowledge concepts for determining future training sessions. In this way, the safety training is adaptive and personalized, thus more effective. An exploration study is conducted in the laboratory environment to validate the effectiveness and feasibility of the proposed BKT model. The research results showed that 83.33% of the respondents felt gained safety knowledge after the training, and 66.67% of the respondents affirmed the effectiveness of the BKT model-based training system in improving the effectiveness of training. The results demonstrated that the proposed model performed well at educating safety knowledge and reducing unsafe behavior.http://www.sciencedirect.com/science/article/pii/S266616592200045XAdaptive learningBehavior modificationSafety trainingBayesian knowledge tracingConstruction safety |
| spellingShingle | Sheng Xu Manfang Sun Weili Fang Ke Chen Hanbin Luo Patrick X.W. Zou A Bayesian-based knowledge tracing model for improving safety training outcomes in construction: An adaptive learning framework Developments in the Built Environment Adaptive learning Behavior modification Safety training Bayesian knowledge tracing Construction safety |
| title | A Bayesian-based knowledge tracing model for improving safety training outcomes in construction: An adaptive learning framework |
| title_full | A Bayesian-based knowledge tracing model for improving safety training outcomes in construction: An adaptive learning framework |
| title_fullStr | A Bayesian-based knowledge tracing model for improving safety training outcomes in construction: An adaptive learning framework |
| title_full_unstemmed | A Bayesian-based knowledge tracing model for improving safety training outcomes in construction: An adaptive learning framework |
| title_short | A Bayesian-based knowledge tracing model for improving safety training outcomes in construction: An adaptive learning framework |
| title_sort | bayesian based knowledge tracing model for improving safety training outcomes in construction an adaptive learning framework |
| topic | Adaptive learning Behavior modification Safety training Bayesian knowledge tracing Construction safety |
| url | http://www.sciencedirect.com/science/article/pii/S266616592200045X |
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