Smart Unit Design Starter v2.0
Turn a topic into a class-ready smart plan
Description
Turn a knowledge point into a smart teaching plan ready for class. This Skill is designed for college teachers who want to build smart courses but don't know where to start. Teachers only need to provide the course name, teaching topic, target students, and class hours to generate a complete, ready-to-implement unit-level smart teaching design. It helps you: 1. Restructure teaching objectives across three dimensions: knowledge, ability, and quality; 2. Design a truly actionable AI-enhanced classroom activity; 3. Form a complete teaching process covering pre-class, in-class, and post-class; 4. Generate student task sheets and multi-dimensional evaluation rubrics; 5. Clarify AI usage boundaries, teacher review points, and classroom backup plans. Suitable for courses in humanities, STEM, medicine, art and design, economics and management, ideological and political education, and other higher education subjects. After opening the Skill, follow the prompts to fill in basic course information, and a teaching plan will be generated. Teachers are not required to master complex prompts or prepare complete course materials in advance.
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Smart Course Dev II Workbench
Systematically transform a traditional course into a smart course. This Skill is designed for college instructors who have already completed some lesson plans, syllabi, or unit designs and wish to further develop the entire course into a smart course. Teachers only need to provide the course name, target students, credit hours, course content, and existing materials, and a complete smart course construction plan will be generated, including: 1. Course positioning and construction problem diagnosis; 2. Knowledge, ability, and quality objective system; 3. OBE course objective mapping; 4. Project-based course content restructuring; 5. Course knowledge graph structure; 6. Smart teaching model for pre-class, in-class, and post-class; 7. Digital teaching resource development checklist; 8. Course AI assistant design plan; 9. Formative assessment and course evaluation system; 10. Construction tasks, implementation steps, and deliverable list. Applicable to courses in liberal arts, sciences, engineering, medicine, economics, management, arts, ideological and political education, etc. for undergraduate and vocational colleges. This Skill focuses on solving the problem of 'how to systematically build an entire course' and does not handle actual teaching data analysis, student early warning, or course operation diagnosis. Related tasks are completed by the third-level Skill.
Diagnosis & Improvement v2.0
Take your smart course from construction to active use and continuous improvement. This Skill is for university teachers who have already implemented course teaching and have data such as grades, assignments, evaluation rubrics, classroom interactions, or learning platform data. After uploading teaching data, the system will automatically complete: 1. Teaching data completeness check 2. Overall class learning analysis 3. Identification of weak knowledge points and skills 4. Student stratification and learning warnings 5. Stratified exercises and differentiated teaching interventions 6. Quality analysis of assignments, projects, and works 7. Analysis of course objective achievement 8. Design of teaching data visualization plans 9. Attribution of teaching problems 10. Continuous improvement plan for the next course cycle Applicable to various data types such as grade sheets, assignment scoring sheets, project evaluation rubrics, classroom interaction records, learning platform data, student work evaluations, AI conversation records, etc. This Skill does not redesign the entire course but, based on real teaching outcomes, helps teachers answer three questions: How well are students learning? Where exactly are the problems? How should teaching, practice, and improvement proceed next?
Course Ideological Inspiration
Many teachers of new engineering courses know the importance of ideological and political education in courses, but they don't know how to integrate it into their specific knowledge points, how to avoid forced elevation, or where to start in class. This Skill is designed for teachers of new engineering and interdisciplinary courses such as intelligent manufacturing, smart materials, mechanical engineering, automation, computer science, artificial intelligence, electrical control, and materials science. It helps you start from a specific knowledge point and quickly gain inspiration for ideological integration. Simply enter the course name, chapter/knowledge point, and target audience, and I will generate: - A brief explanation of the knowledge point; - 2-3 natural integration directions; - Related national strategies or real-world context; - 3 thought-provoking classroom questions; - A short suggestion for classroom use. This free version is suitable for teachers to quickly assess whether a knowledge point has room for ideological integration. If you need a complete plan including case materials, question chains, 1-minute/3-minute teaching scripts, student activities, lesson plan/PPT embedding suggestions, and three-dimensional evaluation methods, you can use the paid version: 'New Engineering Course Ideological Integration Plan Generator'. This Skill is suitable for: - Teachers of new engineering courses trying ideological integration for the first time; - University teachers revising lesson plans, PPTs, or instructional designs; - Teachers who want to quickly find an entry point for ideological integration but do not yet need a complete plan; - Teachers of courses in intelligent manufacturing, smart materials, mechanical engineering, automation, computer science, artificial intelligence, materials, etc.
Smart Unit Design Starter v2.0
Turn a topic into a class-ready smart plan
Description
Turn a knowledge point into a smart teaching plan ready for class. This Skill is designed for college teachers who want to build smart courses but don't know where to start. Teachers only need to provide the course name, teaching topic, target students, and class hours to generate a complete, ready-to-implement unit-level smart teaching design. It helps you: 1. Restructure teaching objectives across three dimensions: knowledge, ability, and quality; 2. Design a truly actionable AI-enhanced classroom activity; 3. Form a complete teaching process covering pre-class, in-class, and post-class; 4. Generate student task sheets and multi-dimensional evaluation rubrics; 5. Clarify AI usage boundaries, teacher review points, and classroom backup plans. Suitable for courses in humanities, STEM, medicine, art and design, economics and management, ideological and political education, and other higher education subjects. After opening the Skill, follow the prompts to fill in basic course information, and a teaching plan will be generated. Teachers are not required to master complex prompts or prepare complete course materials in advance.
Related Skills
View allSmart Course Dev II Workbench
Systematically transform a traditional course into a smart course. This Skill is designed for college instructors who have already completed some lesson plans, syllabi, or unit designs and wish to further develop the entire course into a smart course. Teachers only need to provide the course name, target students, credit hours, course content, and existing materials, and a complete smart course construction plan will be generated, including: 1. Course positioning and construction problem diagnosis; 2. Knowledge, ability, and quality objective system; 3. OBE course objective mapping; 4. Project-based course content restructuring; 5. Course knowledge graph structure; 6. Smart teaching model for pre-class, in-class, and post-class; 7. Digital teaching resource development checklist; 8. Course AI assistant design plan; 9. Formative assessment and course evaluation system; 10. Construction tasks, implementation steps, and deliverable list. Applicable to courses in liberal arts, sciences, engineering, medicine, economics, management, arts, ideological and political education, etc. for undergraduate and vocational colleges. This Skill focuses on solving the problem of 'how to systematically build an entire course' and does not handle actual teaching data analysis, student early warning, or course operation diagnosis. Related tasks are completed by the third-level Skill.
Diagnosis & Improvement v2.0
Take your smart course from construction to active use and continuous improvement. This Skill is for university teachers who have already implemented course teaching and have data such as grades, assignments, evaluation rubrics, classroom interactions, or learning platform data. After uploading teaching data, the system will automatically complete: 1. Teaching data completeness check 2. Overall class learning analysis 3. Identification of weak knowledge points and skills 4. Student stratification and learning warnings 5. Stratified exercises and differentiated teaching interventions 6. Quality analysis of assignments, projects, and works 7. Analysis of course objective achievement 8. Design of teaching data visualization plans 9. Attribution of teaching problems 10. Continuous improvement plan for the next course cycle Applicable to various data types such as grade sheets, assignment scoring sheets, project evaluation rubrics, classroom interaction records, learning platform data, student work evaluations, AI conversation records, etc. This Skill does not redesign the entire course but, based on real teaching outcomes, helps teachers answer three questions: How well are students learning? Where exactly are the problems? How should teaching, practice, and improvement proceed next?
Course Ideological Inspiration
Many teachers of new engineering courses know the importance of ideological and political education in courses, but they don't know how to integrate it into their specific knowledge points, how to avoid forced elevation, or where to start in class. This Skill is designed for teachers of new engineering and interdisciplinary courses such as intelligent manufacturing, smart materials, mechanical engineering, automation, computer science, artificial intelligence, electrical control, and materials science. It helps you start from a specific knowledge point and quickly gain inspiration for ideological integration. Simply enter the course name, chapter/knowledge point, and target audience, and I will generate: - A brief explanation of the knowledge point; - 2-3 natural integration directions; - Related national strategies or real-world context; - 3 thought-provoking classroom questions; - A short suggestion for classroom use. This free version is suitable for teachers to quickly assess whether a knowledge point has room for ideological integration. If you need a complete plan including case materials, question chains, 1-minute/3-minute teaching scripts, student activities, lesson plan/PPT embedding suggestions, and three-dimensional evaluation methods, you can use the paid version: 'New Engineering Course Ideological Integration Plan Generator'. This Skill is suitable for: - Teachers of new engineering courses trying ideological integration for the first time; - University teachers revising lesson plans, PPTs, or instructional designs; - Teachers who want to quickly find an entry point for ideological integration but do not yet need a complete plan; - Teachers of courses in intelligent manufacturing, smart materials, mechanical engineering, automation, computer science, artificial intelligence, materials, etc.
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