{"title":"通过虚拟学习环境中的 POE 教学策略提高认知能力","authors":"Ancheng Jiang , Gaofeng Li","doi":"10.1016/j.cogsys.2024.101295","DOIUrl":null,"url":null,"abstract":"<div><div>With the introduction of information technology into education, the educational environment has undergone qualitative changes, that is, from a real learning environment to a digital learning environment. In a virtual learning environment (VLE), learners not only perceive themselves in new ways but also construct themselves in new ways. However, the POE (Prediction-Observation-Explanation) teaching strategy includes prediction, observation, and explanation. At the entry point of the learning strategy, the effective interaction between teachers and students can promote the development of cognitive ability. Therefore, this paper analyzed the perceptual entropy and matching degree through the radar target tracking algorithm, aiming at analyzing the current situation of the classroom and the advantages of POE teaching strategies. The findings of the study indicate that the POE teaching strategy greatly enhances students’ cognitive ability by teaching through prediction, observation, and interpretation. The research offers a novel contribution to the field of POE teaching strategy under a virtual cultural learning environment by expanding the comprehensive benefits of its students’ cognitive ability cultivation, exploring its impact on students’ academic performance, and offering practical recommendations for its implementation in the learning environment. The research demonstrates that POE strategies have positive effects on students’ academic performance and attitudes toward physics. Under the radar target tracking algorithm, the model matching degree and simplified entropy of the POE teaching strategy were both increasing. The mean of the model fit was 0.61, which was 0.40 higher than that of the first day, and the mean of the simplified entropy was 0.38, which was 0.12 higher than that of the first day. Finally, the cognitive ability and cognitive regulation ability of students under the POE teaching strategy were higher than those of the traditional teaching strategy. Compared with the traditional teaching strategy, cognitive ability was 9% higher, and cognitive regulation ability was 6% higher.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"88 ","pages":"Article 101295"},"PeriodicalIF":2.1000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing cognitive abilities through the POE teaching strategy in a virtual learning environment\",\"authors\":\"Ancheng Jiang , Gaofeng Li\",\"doi\":\"10.1016/j.cogsys.2024.101295\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>With the introduction of information technology into education, the educational environment has undergone qualitative changes, that is, from a real learning environment to a digital learning environment. In a virtual learning environment (VLE), learners not only perceive themselves in new ways but also construct themselves in new ways. However, the POE (Prediction-Observation-Explanation) teaching strategy includes prediction, observation, and explanation. At the entry point of the learning strategy, the effective interaction between teachers and students can promote the development of cognitive ability. Therefore, this paper analyzed the perceptual entropy and matching degree through the radar target tracking algorithm, aiming at analyzing the current situation of the classroom and the advantages of POE teaching strategies. The findings of the study indicate that the POE teaching strategy greatly enhances students’ cognitive ability by teaching through prediction, observation, and interpretation. The research offers a novel contribution to the field of POE teaching strategy under a virtual cultural learning environment by expanding the comprehensive benefits of its students’ cognitive ability cultivation, exploring its impact on students’ academic performance, and offering practical recommendations for its implementation in the learning environment. The research demonstrates that POE strategies have positive effects on students’ academic performance and attitudes toward physics. Under the radar target tracking algorithm, the model matching degree and simplified entropy of the POE teaching strategy were both increasing. The mean of the model fit was 0.61, which was 0.40 higher than that of the first day, and the mean of the simplified entropy was 0.38, which was 0.12 higher than that of the first day. Finally, the cognitive ability and cognitive regulation ability of students under the POE teaching strategy were higher than those of the traditional teaching strategy. Compared with the traditional teaching strategy, cognitive ability was 9% higher, and cognitive regulation ability was 6% higher.</div></div>\",\"PeriodicalId\":55242,\"journal\":{\"name\":\"Cognitive Systems Research\",\"volume\":\"88 \",\"pages\":\"Article 101295\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cognitive Systems Research\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1389041724000895\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Systems Research","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1389041724000895","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Enhancing cognitive abilities through the POE teaching strategy in a virtual learning environment
With the introduction of information technology into education, the educational environment has undergone qualitative changes, that is, from a real learning environment to a digital learning environment. In a virtual learning environment (VLE), learners not only perceive themselves in new ways but also construct themselves in new ways. However, the POE (Prediction-Observation-Explanation) teaching strategy includes prediction, observation, and explanation. At the entry point of the learning strategy, the effective interaction between teachers and students can promote the development of cognitive ability. Therefore, this paper analyzed the perceptual entropy and matching degree through the radar target tracking algorithm, aiming at analyzing the current situation of the classroom and the advantages of POE teaching strategies. The findings of the study indicate that the POE teaching strategy greatly enhances students’ cognitive ability by teaching through prediction, observation, and interpretation. The research offers a novel contribution to the field of POE teaching strategy under a virtual cultural learning environment by expanding the comprehensive benefits of its students’ cognitive ability cultivation, exploring its impact on students’ academic performance, and offering practical recommendations for its implementation in the learning environment. The research demonstrates that POE strategies have positive effects on students’ academic performance and attitudes toward physics. Under the radar target tracking algorithm, the model matching degree and simplified entropy of the POE teaching strategy were both increasing. The mean of the model fit was 0.61, which was 0.40 higher than that of the first day, and the mean of the simplified entropy was 0.38, which was 0.12 higher than that of the first day. Finally, the cognitive ability and cognitive regulation ability of students under the POE teaching strategy were higher than those of the traditional teaching strategy. Compared with the traditional teaching strategy, cognitive ability was 9% higher, and cognitive regulation ability was 6% higher.
期刊介绍:
Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial.
The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition.
Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.