[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-194417-105":53,"doc-detail-194417-en":127},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":120,"head_meta":122,"extra_data":124,"updated_unix":126},105,"en","260513532v1","2605.13532v1","","Evaluation results compare multiple GenAI tools on accuracy, completeness, and pedagogical soundness across practical web-development tasks. NotebookLM and M365 Copilot show generally good accuracy but very incomplete or incomplete coverage, while Claude offers mostly accurate results with some incompleteness and generally acceptable pedagogy. Cursor and Claude Code score strongly on completeness and pedagogical soundness. Task-level items span HTML, JavaScript components, Pages/components, reactivity, shared state, HTTP and API building, CRUD and Fetch API, authentication and password storage, user tracking, client-side user management, security essentials, styling, responsive design, accessibility/WCAG, and unit and end-to-end testing.",{"@graph":63,"@context":119},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/260513532v1/194417/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/260513532v1/194417.png","ImageObject",442,249,{"name":88,"@type":89},"Aditya","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-07","2026-09-03",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",10,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"Which GenAI tools show the best overall performance in completeness and pedagogical soundness?","Question",{"text":109,"@type":110},"Cursor and Claude Code score strongly, with complete coverage and strong pedagogical soundness compared with tools like NotebookLM and M365 Copilot.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"How do NotebookLM and M365 Copilot differ across the evaluation dimensions?",{"text":114,"@type":110},"Both are generally accurate, but they lag on completeness: NotebookLM is very incomplete and very problematic pedagogically, while M365 Copilot remains incomplete and problematic pedagogically.",{"name":116,"@type":107,"acceptedAnswer":117},"What kinds of web-development topics are included in the task evaluation?",{"text":118,"@type":110},"The evaluation covers frontend and backend topics such as HTML/JS components and reactivity, building APIs with HTTP/Hono, CRUD and Fetch API, authentication and user tracking, security essentials, styling (Tailwind/CSS), responsive design, accessibility/WCAG, and unit and end-to-end testing.","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},194417,1788438981,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":136,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":126,"read_time":76},962085564549,"https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","| GenAI Tool | Accuracy | Completeness | Pedagogical Soundness |\n| --- | --- | --- | --- |\n| NotebookLM | Generally\u003Cbr>Accurate | Very Incomplete | Very Problematic |\n| M365 Copilot | Generally\u003Cbr>Accurate | Incomplete | Problematic |\n| Claude | Mostly Accurate | Somewhat incomplete | Mostly acceptable |\n| Cursor | Accurate | Complete | Strong |\n| Claude Code | Accurate | Complete | Strong |\n\n\n| 1-1 Practicalities | Human | 22  5.5 |  | 6.0 | 1.2 | [3, 7]  3.5 |  | 3.0 | 1.7 | [1, 7]  0.42 |  | 0.05 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1-2 HTML | AI-C | 18 | 5.5 | 5.5 | 1.1 | [3, 7] | 3.6 | 3.5 | 1.5 | [1, 7] | -0.48 | 0.03 |\n| 1-3 JS and Components | Human | 16 | 5.1 | 5.0 | 0.8 | [4, 7] | 3.5 | 4.0 | 1.6 | [1, 6] | -0.39 | 0.12 |\n| 1-4 Pages and Components | Human | 16 | 5.0 | 5.0 | 1.3 | [2, 7] | 3.8 | 4.0 | 1.3 | [1, 6] | -0.46 | 0.06 |\n| 1-5 Reactivity | Human | 20 | 4.4 | 4.0 | 1.5 | [2, 7] | 4.0 | 4.0 | 2.0 | [1, 7] | -0.41 | 0.07 |\n| 1-6 Shared State | AI-C | 12 | 4.7 | 5.0 | 0.8 | [4, 6] | 4.7 | 4.0 | 1.5 | [2, 7] | 0.49 | 0.09 |\n| 2-1 [HTTP](HTTP) | Human | 28 | 5.3 | 5.5 | 0.9 | [3, 7] | 3.0 | 3.0 | 1.5 | [1, 6] | -0.39 | 0.04 |\n| 2-2 Hono | Human | 28 | 5.3 | 5.5 | 1.3 | [3, 7] | 3.6 | 4.0 | 1.4 | [1, 6] | -0.10 | 0.62 |\n| 2-3 Building an API | Human | 28 | 5.1 | 5.0 | 0.9 | [3, 7] | 3.7 | 4.0 | 1.2 | [2, 6] | -0.07 | 0.72 |\n| 2-4 CRUD | AI-C | 27 | 4.8 | 5.0 | 1.0 | [2, 7] | 4.4 | 4.0 | 1.6 | [2, 7] | -0.50 | \u003C 0.01 |\n| 2-5 Fetch API | AI-C | 26 | 4.8 | 5.0 | 0.9 | [3, 7] | 4.0 | 4.0 | 1.5 | [1, 7] | -0.31 | 0.12 |\n| 3-1 Auth x2, Storing Passwords | Human | 21 | 5.0 | 5.0 | 0.9 | [4, 7] | 3.3 | 3.0 | 1.7 | [1, 7] | -0.35 | 0.12 |\n| 3-2 Tracking Users | Human | 22 | 5.0 | 5.0 | 1.1 | [3, 7] | 3.4 | 4.0 | 1.3 | [1, 6] | -0.51 | 0.02 |\n| 3-3 Client-side User Management | Human | 22 | 4.9 | 5.0 | 1.2 | [3, 7] | 3.4 | 4.0 | 1.4 | [1, 5] | -0.40 | 0.07 |\n| 3-5 Web Security Essentials | AI-CC | 22 | 5.3 | 5.0 | 0.9 | [4, 7] | 3.1 | 3.0 | 1.4 | [1, 6] | -0.63 | \u003C 0.01 |\n| 4-1 Cascading Style Sheets | AI-CC | 23  5.0 |  | 5.0 | 0.9 | [3, 7]  3.5 |  | 4.0 | 1.3 | [1, 6]  -0.13 |  | 0.57 |\n| 4-2 Styling with Tailwind CSS and Skeleton | Human | 21 | 4.9 | 5.0 | 1.0 | [4, 7] | 3.8 | 4.0 | 1.4 | [1, 7] | -0.37 | 0.10 |\n| 4-3 Responsive Web Design | AI-CC | 22 | 5.0 | 5.0 | 1.0 | [4, 7] | 3.8 | 4.0 | 1.4 | [1, 7] | -0.37 | 0.10 |\n| 4-4 Web Accessibility and WCAG | AI-CC | 22 | 5.0 | 5.0 | 0.9 | [3, 7] | 3.6 | 4.0 | 1.6 | [1, 6] | -0.43 | 0.06 |\n| 5-1 Unit Testing etc | AI-CC | 21  5.0 |  | 5.0 | 1.0 | [3, 7]  3.5 |  | 3.5 | 1.5 | [1, 6]  -0.24 |  | 0.30 |\n| 5-2 End-to-End Testing | AI-CC | 21 | 6.0 | 6.0 | 1.1 | [4, 7] | 3.5 | 3.0 | 2.2 | [1, 7] | -0.26 | 0.32 |\n| 5-3 Evolution of Web Development | Human | 16 | 5.2 | 6.0 | 1.1 | [4, 7] | 3.5 | 3.0 | 2.2 | [1, 7] | -0.26 | 0.32 |\n| Overall (AI-C / Cursor) | AI-C | 83 | 5.0 | 5.0 | 1.0 | [2, 7] | 4.1 | 4.0 | 1.6 | [1, 7] | -0.32 | \u003C 0.01 |\n| Overall (AI-CC / Claude Code) | AI-CC | 116 | 5.1 | 5.0 | 0.9 | [3, 7] | 3.5 | 4.0 | 1.5 | [1, 7] | -0.32 | \u003C 0.01 |\n| Overall (AI) | AI | 199 | 5.1 | 5.0 | 0.9 | [2, 7] | 3.8 | 4.0 | 1.5 | [1, 7] | -0.33 | \u003C 0.01 |\n| Overall (human) | Human | 260 | 5.1 | 5.0 | 1.1 | [2, 7] | 3.5 | 4.0 | 1.5 | [1, 7] | -0.24 | \u003C 0.01 |\n| Overall (all) | - | 459  5.1 |  | 5.0 | 1.0 | [2, 7]  3.6 |  | 4.0 | 1.5 | [1, 7]  -0.28 |  | \u003C 0.01 |","cbCaip3UqVkB5IO6","https://ap.wps.com/l/cbCaip3UqVkB5IO6","pdf",516329,7,"English","# GenAI Tool Comparison\n## Accuracy and Completeness Assessment\n## Pedagogical Soundness Assessment\n# Task-Level Sections\n## Practicalities\n## Frontend: HTML, JavaScript, Components, Reactivity, Shared State\n## Backend: HTTP, Hono, Building an API, CRUD, Fetch API\n## Authentication and User Management\n## Security, Styling, Responsiveness, Accessibility\n## Testing and Web Development Evolution\n# Overall Results","[{\"question\":\"Which GenAI tools show the best overall performance in completeness and pedagogical soundness?\",\"answer\":\"Cursor and Claude Code score strongly, with complete coverage and strong pedagogical soundness compared with tools like NotebookLM and M365 Copilot.\"},{\"question\":\"How do NotebookLM and M365 Copilot differ across the evaluation dimensions?\",\"answer\":\"Both are generally accurate, but they lag on completeness: NotebookLM is very incomplete and very problematic pedagogically, while M365 Copilot remains incomplete and problematic pedagogically.\"},{\"question\":\"What kinds of web-development topics are included in the task evaluation?\",\"answer\":\"The evaluation covers frontend and backend topics such as HTML/JS components and reactivity, building APIs with HTTP/Hono, CRUD and Fetch API, authentication and user tracking, security essentials, styling (Tailwind/CSS), responsive design, accessibility/WCAG, and unit and end-to-end testing.\"}]","2605.13532v1 | PDF"]