Research Article
Exploration of Information Practice of Constructive English Learning Platform Based on Ant Colony Algorithm
@INPROCEEDINGS{10.1007/978-3-031-63130-6_47, author={Xizhen Ai and Yanyan Zong}, title={Exploration of Information Practice of Constructive English Learning Platform Based on Ant Colony Algorithm}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Third EAI International Conference, BigIoT-EDU 2023, August 29-31, 2023, Liuzhou, China, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2024}, month={7}, keywords={Constructive Ant colony algorithm English learning platform Information exploration}, doi={10.1007/978-3-031-63130-6_47} }- Xizhen Ai
Yanyan Zong
Year: 2024
Exploration of Information Practice of Constructive English Learning Platform Based on Ant Colony Algorithm
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-63130-6_47
Abstract
This study explores the informationization practice of a constructive English learning platform based on ant colony algorithm. In traditional English learning, students are often passive recipients of knowledge and lack the ability to actively participate and solve problems. In order to change this situation, we have designed an information-based learning platform based on ant colony algorithm, aiming to enhance students’ constructive learning experience. Our platform inspires students to actively participate and collaborate in learning by simulating the behavior of ants. In ant colony algorithm, ants represent students, and each ant represents a learner. On the platform, students can independently choose learning content, set learning goals, and construct new knowledge and understanding through collaborative learning and practical activities with other students. This article first briefly introduces the background and purpose of system design, and then conducts a detailed requirement analysis of the system, including a clear problem definition and feasibility analysis; In the preliminary design stage, a system structure model was established, and a database and interface were designed.
Through the simulation of ant paths and pheromones, we use the platform to provide guiding questions, stimulate discussions, and provide feedback, promoting students’ thinking development and knowledge construction. Teachers play a guiding and supporting role on the platform, providing appropriate resources, guidance, and evaluation to ensure that students’ learning goals are achieved.
However, we also realize that the platform still needs further improvement and refinement. For example, how to better guide students to engage in autonomous learning and evaluation during the learning process, and how to provide more diverse learning resources. In future research, we will continue to explore the development of a constructive English learning platform based on ant colony algorithm to enhance students’ learning experience and effectiveness.
