Teacher professional learning community and interdisciplinary collaborative teaching path under the informationization basic education model
The construction of a learning community cannot be separated from the participation of information technology. The current teacher learning community has problems of low interaction efficiency and insufficient enthusiasm for group cooperative teaching. This study adopts the Latent Dirichlet allocati...
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| Format: | Article |
| Language: | English |
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University of Belgrade
2024-01-01
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| Series: | Yugoslav Journal of Operations Research |
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| Online Access: | https://doiserbia.nb.rs/img/doi/0354-0243/2024/0354-02432400029L.pdf |
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| author | Li Gen Jamil Hazri Bin |
| author_facet | Li Gen Jamil Hazri Bin |
| author_sort | Li Gen |
| collection | DOAJ |
| description | The construction of a learning community cannot be separated from the participation of information technology. The current teacher learning community has problems of low interaction efficiency and insufficient enthusiasm for group cooperative teaching. This study adopts the Latent Dirichlet allocation method to process text data generated by teacher interaction from the evolution of knowledge topics in the learning community network space. At the same time, the interaction data of the network commu-nity learning space is used to extract the interaction characteristics between teachers, and a collaborative teaching group is formed using the K-means clustering algorithm. This study verifies the management effect of Latent Dirichlet allocation and K-means algorithm in learning community space through experiments. The experiment showed that the Latent Dirichlet allocation algorithm had the highest F1 value at a K value of 12, which is 0.88. It collaborated with the filtering algorithm on the overall F1 value. At the same time, there were a total of 4 samples with incorrect judgments in Latent Dirichlet allocation, with an accuracy of 86.7%, which is higher than other algorithm models. The results indicate that the proposed Latent Dirichlet allocation combined with K-means algorithm has superior performance in the management of teacher professional learning communities, and can effectively improve the service level of teacher work. |
| format | Article |
| id | doaj-art-bd037f37671b43409eb36733b94b254d |
| institution | Kabale University |
| issn | 0354-0243 1820-743X |
| language | English |
| publishDate | 2024-01-01 |
| publisher | University of Belgrade |
| record_format | Article |
| series | Yugoslav Journal of Operations Research |
| spelling | doaj-art-bd037f37671b43409eb36733b94b254d2025-01-30T06:47:14ZengUniversity of BelgradeYugoslav Journal of Operations Research0354-02431820-743X2024-01-0134470772410.2298/YJOR2403029L0354-02432400029LTeacher professional learning community and interdisciplinary collaborative teaching path under the informationization basic education modelLi Gen0https://orcid.org/0009-0006-1631-732XJamil Hazri Bin1https://orcid.org/0000-0002-9219-4505School of Educational Studies, Universiti Sains Malaysia, Penang, MalaysiaSchool of Educational Studies, Universiti Sains Malaysia, Penang, MalaysiaThe construction of a learning community cannot be separated from the participation of information technology. The current teacher learning community has problems of low interaction efficiency and insufficient enthusiasm for group cooperative teaching. This study adopts the Latent Dirichlet allocation method to process text data generated by teacher interaction from the evolution of knowledge topics in the learning community network space. At the same time, the interaction data of the network commu-nity learning space is used to extract the interaction characteristics between teachers, and a collaborative teaching group is formed using the K-means clustering algorithm. This study verifies the management effect of Latent Dirichlet allocation and K-means algorithm in learning community space through experiments. The experiment showed that the Latent Dirichlet allocation algorithm had the highest F1 value at a K value of 12, which is 0.88. It collaborated with the filtering algorithm on the overall F1 value. At the same time, there were a total of 4 samples with incorrect judgments in Latent Dirichlet allocation, with an accuracy of 86.7%, which is higher than other algorithm models. The results indicate that the proposed Latent Dirichlet allocation combined with K-means algorithm has superior performance in the management of teacher professional learning communities, and can effectively improve the service level of teacher work.https://doiserbia.nb.rs/img/doi/0354-0243/2024/0354-02432400029L.pdfprofessional learning communityinterdisciolinary collaborative teachingknowledge topicsgroupingpotential dirichlet distributioninteractive |
| spellingShingle | Li Gen Jamil Hazri Bin Teacher professional learning community and interdisciplinary collaborative teaching path under the informationization basic education model Yugoslav Journal of Operations Research professional learning community interdisciolinary collaborative teaching knowledge topics grouping potential dirichlet distribution interactive |
| title | Teacher professional learning community and interdisciplinary collaborative teaching path under the informationization basic education model |
| title_full | Teacher professional learning community and interdisciplinary collaborative teaching path under the informationization basic education model |
| title_fullStr | Teacher professional learning community and interdisciplinary collaborative teaching path under the informationization basic education model |
| title_full_unstemmed | Teacher professional learning community and interdisciplinary collaborative teaching path under the informationization basic education model |
| title_short | Teacher professional learning community and interdisciplinary collaborative teaching path under the informationization basic education model |
| title_sort | teacher professional learning community and interdisciplinary collaborative teaching path under the informationization basic education model |
| topic | professional learning community interdisciolinary collaborative teaching knowledge topics grouping potential dirichlet distribution interactive |
| url | https://doiserbia.nb.rs/img/doi/0354-0243/2024/0354-02432400029L.pdf |
| work_keys_str_mv | AT ligen teacherprofessionallearningcommunityandinterdisciplinarycollaborativeteachingpathundertheinformationizationbasiceducationmodel AT jamilhazribin teacherprofessionallearningcommunityandinterdisciplinarycollaborativeteachingpathundertheinformationizationbasiceducationmodel |