Research On The Design And Application Of Autonomous Learning Task Sheet Based On The Rain Classroom Platform

Since the implementation of the New Curriculum Reform,the concept of school education has gradually shifted from being "teacher-centered" to "student-centered," emphasizing the importance of the student’s role in learning and focusing on the development of their autonomous learning abilities.The teacher’s role has transformed from being the "subject" to being the "facilitator," truly returning the classroom to the students.This direction of reform in teaching and learning has provided a new approach for guiding students in autonomous learning and implementing differentiated instruction.As a result,the autonomous learning task sheet has become a hot topic of research for scholars and front-line teachers.When designing autonomous learning task sheets,teachers need to consider the types of knowledge in the field of information technology and design appropriate learning tasks based on different knowledge types to help students master the knowledge more efficiently.Additionally,teachers should take into account the actual situation and dynamic development of students,and provide task sheets that fit their individual circumstances,as much as possible,to adapt and meet their learning needs.This will enable every student in the class to gradually achieve mastery of knowledge and advanced abilities according to their own learning situations.Therefore,it is particularly important to design autonomous learning task sheets that are tailored to different types of knowledge and also meet the dynamic learning situations of students.In response to the above situation,this paper conducts research on the design and application of autonomous learning task sheets based on the Rain Classroom platform.Different task sheets are generated based on knowledge types and dynamic learning situations,and the effective use of autonomous learning task sheets is employed to enhance the effectiveness of teaching in the field of information technology.The paper focuses on the following aspects:Firstly,the relevant concepts and research context of autonomous learning task sheets are clarified.By reviewing a large number of domestic and foreign literature,the research status and issues of domestic and foreign scholars on individualized instruction and autonomous learning task sheets are analyzed and summarized.The core concepts involved in this research,including individualized instruction and autonomous learning task sheets,are defined.Detailed introductions are provided for the Rain Classroom platform and the theoretical foundation of the research,laying the groundwork for further research on autonomous learning task sheets.Secondly,in response to the lack of dynamism and personalization in traditional learning task sheets that mainly target all students,an improved autonomous learning task sheets generation model is proposed.A task library is constructed based on the textbook chapters and sections,and the attribute hierarchy of knowledge points in knowledge blocks is analyzed to determine the sequence of knowledge learning.The principles and processes of task library construction are proposed.Based on the "Revised Bloom’s Taxonomy",Anderson divides the dimensions of knowledge into four categories: factual knowledge,conceptual knowledge,procedural knowledge,and metacognitive knowledge.The author analyzes the characteristics of each type of knowledge in detail on this basis and proposes corresponding learning task design strategies.A data-based learner feature library is constructed,and the principles of learning stratification are proposed to dynamically generate tags for students.An approach was proposed to generate learning tasks based on content-learner feature matching,aiming to better cater to the dynamic learning situations of students.Specifically,tasks and students’ dynamic learning situations are encoded and classified according to the layers of subject knowledge,problem-solving,and subject thinking.Then,hierarchical matching is conducted based on the encoding.This matching mechanism can better consider students’ personalized needs,making the self-directed learning tasks more relevant to their actual situations,and providing better ideas and methods for generating such tasks.Ultimately,this approach can enhance the personalization and targeting of self-directed learning tasks.Thirdly,we conducted practical research on the application of autonomous learning task sheets using the Rain Classroom platform.Firstly,we selected the content of the "Encryption and Decryption-Caesar Cipher" chapter in the high school Information Technology course to generate autonomous learning task sheets.Then,we applied these autonomous learning task sheets in high school Information Technology classroom teaching using the Rain Classroom platform.Secondly,by combining student learning performance with satisfaction questionnaires and teacher interviews regarding the use of autonomous learning task sheets,we verified the feasibility and effectiveness of the dynamically designed autonomous learning task sheets based on the Rain Classroom platform.This has a practical and effective role in truly improving the teaching effectiveness of the Information Technology subject.Both students and teachers had a generally positive experience and perception when using the autonomous learning task sheets.Finally,based on the analysis of the application results,we summarized the problems in the design and application of autonomous learning task sheets and proposed corresponding suggestions and optimization strategies,pointing out the areas that need further strengthening in the application.Through this research,we hope to assist teachers in creating autonomous learning task sheets that better match the students’ learning situation,improving the effectiveness of their use,and providing valuable reference for personalized teaching practices.