1.Your academic year: Freshman Sophomore Junior Senior Graduate Student
2.Your previous familiarity with AI tools: Completely unfamiliar Only heard of them, barely know how to use Can use common AI tools (e.g. Deepseek,ChatGPT, etc.) for simple tasks Relatively proficient, can use AI tools to complete various tasks Very familiar, have experience in AI-related technologies or applications
3.How helpful do you find the exclusive knowledge base (including comparative literature professional literature, case library, etc.) used in the course for your learning? Very unhelpful Relatively unhelpful Neutral Relatively helpful Very helpful
4.Does the knowledge graph constructed in the course (which visually presents literary trends, connections between writers and works, etc.) help you better understand the disciplinary system of comparative literature? No help at all Slightly helpful Neutral Quite helpful Extremely helpful
5.Does the competency map (which marks the core competencies to be mastered at different learning stages) have a guiding role in your learning planning? No guiding effect at all Slight guiding effect Neutral Considerable guiding effect Significant guiding effect
6.Does the problem map (a library of typical research questions categorized by theme) help you expand your academic research ideas? No help at all Slightly helpful Neutral Quite helpful Extremely helpful
7.Does the literacy map (competency dimensions such as humanistic literacy, critical thinking, etc.) help you understand the training objectives of the comparative literature major more clearly? No help at all Slightly helpful Neutral Quite helpful Extremely helpful
8.How often do you use the Q&A system provided with the course during your learning process? Almost never 1-2 times per month 1-2 times per week 3-5 times per week Almost every day
9.How helpful is the Q&A system in solving problems you encounter during your studies? Very unhelpful Relatively unhelpful Neutral Relatively helpful Very helpful
10.How accurate do you find the feedback on your assignments from the intelligent grading system? Very inaccurate Relatively inaccurate Neutral Relatively accurate Very accurate
11.Has the feedback speed of intelligent grading improved your learning efficiency? No improvement at all Slight improvement Neutral Considerable improvement Significant improvement
12.How helpful are the revision suggestions given by intelligent grading in improving your writing skills and academic abilities? Very unhelpful Relatively unhelpful Neutral Relatively helpful Very helpful
13.In which aspects do you hope the intelligent grading function can be optimized? (Multiple choices allowed) Accuracy of feedback Targeted nature of suggestions Support for grading more types of assignments (e.g. short essays, translation exercises, etc.) Provision of more detailed error explanations Addition of excellent sample references Others:
14.Overall, how satisfied are you with this AI-Enhanced Comparative Literature course? Very dissatisfied Relatively dissatisfied Neutral Relatively satisfied Very satisfied
15.Through studying this course, which aspects do you think you have gained the most from? (Multiple choices allowed) Construction of comparative literature professional knowledge system Academic research methods and thinking abilities Ability to apply AI tools in humanities research Cross-cultural comparison and analytical abilities Academic writing and expression abilities Autonomous learning and problem-solving abilities Others:
16.How do you evaluate the degree of integration between AI technology and the comparative literature course? No integration at all, AI is merely formalism Low degree of integration, AI has insignificant effect Moderate degree of integration, has certain auxiliary effect Good degree of integration, effectively improves learning outcomes Deep integration, AI is an indispensable part of the course
17.Which AI functions do you hope to be further enhanced in future courses? (Multiple choices allowed) Expand the coverage of the knowledge base and add more cutting-edge research outcomes Optimize the knowledge graph, increase interactivity and personalized recommendations Upgrade the intelligent grading function to support grading of more complex academic papers Add AI-assisted research tools (e.g. literature review generation, research idea recommendations, etc.) Develop personalized learning paths and customize learning plans according to students' situations Add practical cases and projects that combine AI with comparative literature Others:
18.Would you recommend other students to take this AI-Enhanced Comparative Literature course? Definitely not Probably not Neutral Probably yes Definitely yes
19.Do you have any specific improvement suggestions for the construction of the "Five Databases" (knowledge base, knowledge graph, competency map, problem map, and literacy map) in the course?
20.Do you have any other comments or suggestions for this AI-Enhanced Comparative Literature course? Please feel free to share your thoughts.