AI application methodology for teaching scenarios
The following implementation programs are recommended for the special needs of educators:
- Material preprocessing:By uploading curriculum standard documents, previous excellent lesson plans, school templates, etc. via batch upload (supporting ZIP archives up to 50MB), the system will create an exclusive knowledge graph within 24 hours. This step can improve the match between the subsequently generated content and our school's requirements by 65%.
- Generation strategy:When using the special template for "Instructional Design", it is recommended to enable the function of "Aligning Three-dimensional Objectives" to automatically correlate the three dimensions of Knowledge and Skills, Process and Methods, and Emotional Attitude and Values. For practical courses, the "Classroom Activity Sandbox" module can be added to preview the teacher-student interaction.
- Differentiated output:By setting variables such as academic level parameters (e.g., middle school/high school), class size (≤30 or >30 students), and instructional equipment, the system adjusts the hands-on nature of the generated content. For example, laboratory courses will automatically include safety precautions, and group management suggestions will be added for large classes.
- Assessment integration:Use the "Intelligent Question Generation" function to automatically generate follow-up test questions, with the "Difficulty Adjustment Slider" to control the gradient of the questions. The generated lesson plans can be exported to Moodle-compatible SCORM packages.
Practical application has shown that the method reduces teachers' 60% desk work time while improving the structural integrity of the instructional design.
This answer comes from the articleMagic Maker AI Essay: a writing tool to assist AI in generating original essaysThe
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