Course Quality Assessor
Description
Recommended by
Nico@YouMind
Why we love this skill
This skill uses a 'latent stakeholder' framework and an eight-dimensional assessment model to deeply analyze courses, not only optimizing content but also building a healthy user environment. Its systematic approach and human care are unique.
Transform your course manuscripts from the ground up. Through an eight-dimensional deep assessment, build outstanding courses that are responsible to users, society, and the future, truly empowering learners.
Related Skills
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AI Textbook Quality Inspector
📚 AI Textbook Quality Inspector — Five-dimensional scan to make AI-written textbooks withstand review Textbooks written with AI assistance suffer from five common problems: hard-to-detect knowledge errors, instructional design lacking classroom feel, excessive 'correct but empty' statements, templated writing that feels robotic, and obscure language that makes students give up reading. This system performs a five-dimensional in-depth quality check chapter by chapter, examining each chapter from the perspectives of four roles: subject matter expert, instructional designer, fact-checker, and style reviewer. It outputs quantitative scores and directly replaceable modification suggestions. Five Dimensions: 📐 Knowledge Accuracy — Trace and correct concepts, models, and data one by one, with each error annotated with a source 🎯 Instructional Design — Review difficulty curve, prerequisite preparation, and chapter connections like a seasoned teacher 💎 Content Substantiveness — Expose 'correct but empty' statements, calculate real information gain per section 🤖 AI-Flavor Detection — Textbook-specific standards to distinguish normal writing from AI template patterns 📖 Readability — Paragraph rhythm, term density, assess whether students can read smoothly Highlight Features: 🔗 Cross-Chapter Consistency — Automatically generate knowledge profile, detect conceptual contradictions, inconsistent terminology, and duplicate definitions 🔄 Closed-Loop Iteration — After revision, resubmit and automatically track improvements, remaining issues, and new problems 📊 Layered Report — First see overview score + top 3 issues, then expand section-by-section analysis as needed 🎤 Sharp Commentary — No sugarcoating; if a definition is wrong, it says so bluntly, with each criticism accompanied by a revision reference Applicable to: AI-assisted undergraduate and graduate textbooks, academic monographs, and course handouts. Current version is optimized for undergraduate textbooks, but also works for graduate textbooks. Paste chapter → Get score → Make targeted revisions → Re-test until quality passes.
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?
Attainment Calculation Report
This skill helps educators and teaching administrators efficiently and accurately calculate undergraduate course goal attainment based on the course assessment plan and student score data, and generate professional analysis reports. By intelligently parsing the provided course assessment plan and score registration sheets for each assessment component, it automatically extracts key information, verifies the consistency of score weights with the plan, and calculates the attainment of each course goal and overall course goal. You will receive a well-structured attainment analysis report that includes detailed calculation results and attainment conclusions, as well as in-depth analysis of each course goal's attainment, highlighting better-performing and weaker supporting items. More importantly, based on whether the course is offered for the first time or has historical data, this skill provides targeted continuous improvement suggestions to help you optimize teaching design and adjust assessment methods, thereby effectively enhancing course teaching quality. Whether for teaching evaluation, OBE (Outcome-Based Education) certification, or continuous improvement of teaching quality, it is an indispensable assistant.
Course Quality Assessor
Description
Recommended by
Nico@YouMind
Why we love this skill
This skill uses a 'latent stakeholder' framework and an eight-dimensional assessment model to deeply analyze courses, not only optimizing content but also building a healthy user environment. Its systematic approach and human care are unique.
Transform your course manuscripts from the ground up. Through an eight-dimensional deep assessment, build outstanding courses that are responsible to users, society, and the future, truly empowering learners.
Related Skills
View allAI Textbook Quality Inspector
📚 AI Textbook Quality Inspector — Five-dimensional scan to make AI-written textbooks withstand review Textbooks written with AI assistance suffer from five common problems: hard-to-detect knowledge errors, instructional design lacking classroom feel, excessive 'correct but empty' statements, templated writing that feels robotic, and obscure language that makes students give up reading. This system performs a five-dimensional in-depth quality check chapter by chapter, examining each chapter from the perspectives of four roles: subject matter expert, instructional designer, fact-checker, and style reviewer. It outputs quantitative scores and directly replaceable modification suggestions. Five Dimensions: 📐 Knowledge Accuracy — Trace and correct concepts, models, and data one by one, with each error annotated with a source 🎯 Instructional Design — Review difficulty curve, prerequisite preparation, and chapter connections like a seasoned teacher 💎 Content Substantiveness — Expose 'correct but empty' statements, calculate real information gain per section 🤖 AI-Flavor Detection — Textbook-specific standards to distinguish normal writing from AI template patterns 📖 Readability — Paragraph rhythm, term density, assess whether students can read smoothly Highlight Features: 🔗 Cross-Chapter Consistency — Automatically generate knowledge profile, detect conceptual contradictions, inconsistent terminology, and duplicate definitions 🔄 Closed-Loop Iteration — After revision, resubmit and automatically track improvements, remaining issues, and new problems 📊 Layered Report — First see overview score + top 3 issues, then expand section-by-section analysis as needed 🎤 Sharp Commentary — No sugarcoating; if a definition is wrong, it says so bluntly, with each criticism accompanied by a revision reference Applicable to: AI-assisted undergraduate and graduate textbooks, academic monographs, and course handouts. Current version is optimized for undergraduate textbooks, but also works for graduate textbooks. Paste chapter → Get score → Make targeted revisions → Re-test until quality passes.
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?
Attainment Calculation Report
This skill helps educators and teaching administrators efficiently and accurately calculate undergraduate course goal attainment based on the course assessment plan and student score data, and generate professional analysis reports. By intelligently parsing the provided course assessment plan and score registration sheets for each assessment component, it automatically extracts key information, verifies the consistency of score weights with the plan, and calculates the attainment of each course goal and overall course goal. You will receive a well-structured attainment analysis report that includes detailed calculation results and attainment conclusions, as well as in-depth analysis of each course goal's attainment, highlighting better-performing and weaker supporting items. More importantly, based on whether the course is offered for the first time or has historical data, this skill provides targeted continuous improvement suggestions to help you optimize teaching design and adjust assessment methods, thereby effectively enhancing course teaching quality. Whether for teaching evaluation, OBE (Outcome-Based Education) certification, or continuous improvement of teaching quality, it is an indispensable assistant.
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