✅ レポート採点基準 / How Your Reports Are Assessed

大学・大学院におけるレポート採点基準のスライド資料です。

関連リンク
🎓 大阪公立大学から紀要論文を公開 - note
🎓 Railsチュートリアル、チーム学習のコツ - note
🎓 Railsチュートリアル - 法人向けサービスの紹介

Transcript

1. εέδϡʔϧɺߨٛࢿྉɺϨ ポ ʔτɺ࠾఺ج४ͳͲ RailsνϡʔτϦΞϧɺߨٛ৘ใ·ͱΊ
2. ຊίʔεͰֶ΂Δ͜ͱ Ұॹʹ֬ೝ! (DEMO)
3. ϑϨʔϜϫʔΫ։ൃಛ࿦
   lཱͪҐஔͱɺ
   ֶ΂Δ͜ͱz
   ♻✨
4. σʔλͰݟΔ
   ղઆಈըͱ8FCςΩετͷҧ͍ RailsνϡʔτϦΞϧ × ൓సֶश ౦ژ౎ཱͷେֶӃͰ
   3VCZ3BJMT
   ߨٛΛ
   શֶՊ̍Ґ ʹ͢ΔͨΊͷतۀઃܭ      ` ` ` ` ` ` ` `         
   ఺ 
   ఺ 
   ఺ 
   ఺ 🥈 🥇 ˞ ճ౴ऀ਺͸֤೥ͰҟͳΔ
   dਓ
   ˞ 🥇 🥈
   
   ಉΫΥʔλ಺
   तۀධՁ఺ॱ ֶੜʹΑΔतۀධՁ
   ̑఺ຬ఺
   
   ୈ̍ΫΥʔλ
5. l
   ՝୊ղܾͰ͖ΔεΩϧͱ
   
   
   
   ۀ຿਱ߦೳྗΛ਎ʹ͚ͭΔ
6. ϑϨʔϜϫʔΫ։ൃಛ࿦ ίϥϘ։ൃಛ࿦ ← 1#-Ͱ։ൃ͢Δ ← ڞಉͰ։ൃ͢Δ ← ̍ਓͰ։ൃ͢Δ ਎ۙͳ՝୊Λղܾ (PBL) (※ ίί͕๻ͷ୲౰)
7. ࢀߟ: ΩϟϦΞΛ࣌ؒɾۭؒ࣠Ͱߟ͑Δ https://speakerdeck.com/kentaro/thinking-about-your-career-from-both-time-and-space-viewpoints “มΘΓʹ͍͘ಛੑΛڧԽ͢Δ” ࢀߟ: AIIT PBL Method - Advanced Institute of Industrial Technology https://aiit.ac.jp/education/pbl/
8. AI Λ׆༻͠ɺAI ͱڠௐ͠Α͏ ࢀߟ: ChatGPT Λ૊ΈࠐΜͩ 24 ࣌ؒ TAɿڭҭݱ৔ʹ͓͚Δ LLM ׆༻ͷ՝୊ͱվળ https://speakerdeck.com/yasslab/education-and-llm-case-study-of-railstutorial-ai-support
9. AI Λ׆༻͠ɺAI ͱڠௐ͠Α͏ ࢀߟ: PaperBench: Evaluating AI’s Abilities to Replicate AI Research - OpenAI https://openai.com/index/paperbench/ ֓ཁ: AI ͸୹ظͰߴ͍ύϑΥʔϚϯεΛൃش͢Δɺਓ͸௕ظͰߴ͍ύϑΥʔϚϯεΛൃش͢Δ ʢʮAI (o1)ʯ͸ 2025 ೥࣌఺ͷ OpenAI ͷϞσϧɺʮਓ (Human)ʯ͸େֶӃमྃ૬౰ͷεΩϧɻʣ
10. AI Λ׆༻͠ɺAI ͱڠௐ͠Α͏ ࢀߟ: PaperBench: Evaluating AI’s Abilities to Replicate AI Research - OpenAI https://openai.com/index/paperbench/ ֓ཁ: AI ͸୹ظͰߴ͍ύϑΥʔϚϯεΛൃش͢Δɺਓ͸௕ظͰߴ͍ύϑΥʔϚϯεΛൃش͢Δ ʢʮAI (o1)ʯ͸ 2025 ೥࣌఺ͷ OpenAI ͷϞσϧɺʮਓ (Human)ʯ͸େֶӃमྃ૬౰ͷεΩϧɻʣ AI ͚ͩ → ਓ͚ͩ ↑
11. AI Λ׆༻͠ɺAI ͱڠௐ͠Α͏ ࢀߟ: PaperBench: Evaluating AI’s Abilities to Replicate AI Research - OpenAI https://openai.com/index/paperbench/ ֓ཁ: AI ͸୹ظͰߴ͍ύϑΥʔϚϯεΛൃش͢Δɺਓ͸௕ظͰߴ͍ύϑΥʔϚϯεΛൃش͢Δ ʢʮAI (o1)ʯ͸ߴ౓ͳਪ࿦ೳྗΛ࣋ͭ AI ͷϞσϧɺʮਓ (Human)ʯ͸େֶӃमྃ૬౰ͷεΩϧΛ࣋ͭʣ AI + ਓ (ڠௐ) ΑΓෳࡶͳ՝୊Λ ΑΓ୹ظʹղܾɻ
12. ຊίʔεͰֶ΂Δ͜ͱʢ࠶ܝʣ Ұॹʹ֬ೝ! (DEMO)
13. ߨٛεέδϡʔϧͱɺߨٛࢿྉ·ͱΊ Ұॹʹ֬ೝ! (DEMO)
14. तۀܗଶͱ੒੷ͷ෇͚ํ
15. तۀܗଶͱ੒੷ͷ෇͚ํ ※ ৄࡉ͸ʰߨٛࢿྉ·ͱΊʱΛ͝ࢀর͍ͩ͘͞
16. ߨٛΛগͳ͘ɺ࣭໰ରԠΛॏࢹ ࣭໰ରԠ ର໘ߨٛ ࣭໰ରԠ ର໘ߨٛ 2017೥౓·Ͱ 2018೥౓Ҏ߱
17. खΛಈ͔࣌ؒ͢ͷ࠷େԽ ௌ࣌ؒ͘ → ಈ࣌ؒ͘ ෼͔Βͳ͍ → ௐ΂ΒΕΔ ஌͍ͬͯΔ → ಋ͖ग़ͤΔ
18. Ϩϙʔτͷ࠾఺ج४ test ͸ޙͰॻ͘? ઌʹॻ͘? ͳͥ? devise Λ࢖͏? ࢖Θͳ͍? ͳͥ? scaffold Λ࢖͏? ࢖Θͳ͍? ͳͥ? Yes/No ͸ͲͪΒͰ΋େৎ෉ʂWhy Λॏࢹ લఏ: ͋ΔϓϩδΣΫτ X ͷ։ൃʹ͓͍ͯ
19. Yes/No ͸ͲͪΒͰ΋ྑ͍ɻWhy Λॏࢹ ΈΜͳ͕ͦ͏ݴ͍ͬͯΔ͔Β ӡ༻ͷίετ͕ߴ͘ͳΔ͔Β Τϥ͍ਓ͕ͦ͏ݴ͔ͬͯͨΒ ͜ͷ࢓༷͸ޙͰมߋ͢Δ͔Β ྫ: νʔϜϝϯόʔΛٕज़తʹઆಘͰ͖Δ͔? 🤔 💭 ·ͣ͸ࣗ෼ͷओுΛॻ͘ɻʒ੾ޙʹڞ༗ɾٞ࿦
20. Q. ࢓༷͕มΘΔՄೳੑ͸͋Δ? Q. Ͳ͜·Ͱॻ͘? 100%໢ཏ? Q. ԿͰॻ͘? minitest? RSpec? ·ͣ͸ࣗ෼ͷओுΛॻ͘ɻ͋ͱͰڞ༗ͯٞ͠࿦ ྫ: ͋ͳͨͷϓϩδΣΫτXʹ͓͍ͯ test ͸ޙͰॻ͘? ઌʹॻ͘? ͳͥ? શମͰͷσΟεΧογϣϯ͸ධՁͷର৅֎Ͱ͢ɻ ͱ͸͍͑ࢀՃ͢Δͱૣ͘ߟ͑Δ࿅शʹͳΓ·͢ɻ
21. AI Λ׆༻͠ɺAI ͱڠௐ (࠶ܝ) ࢀߟ: PaperBench: Evaluating AI’s Abilities to Replicate AI Research - OpenAI https://openai.com/index/paperbench/ ֓ཁ: AI ͸୹ظͰߴ͍ύϑΥʔϚϯεΛൃش͢Δɺਓ͸௕ظͰߴ͍ύϑΥʔϚϯεΛൃش͢Δ ʢʮAI (o1)ʯ͸ߴ౓ͳਪ࿦ೳྗΛ࣋ͭ AI ͷϞσϧɺʮਓ (Human)ʯ͸େֶӃमྃ૬౰ͷεΩϧΛ࣋ͭʣ AI + ਓ (ڠௐ) ΑΓෳࡶͳ՝୊Λ ΑΓ୹ظʹղܾɻ
22. RailsνϡʔτϦΞϧ × ൓సֶश --.
    ͕ɺ΋ͨΒͨ͠มԽ ɾ ࣭໰ͷ਺͕ ໿ 27 ഒ ʹ૿Ճ “༗ਓ” ΑΓ “ແਓ” ͷํ͕࣭໰͠΍͍͢ (?) ɾ Ͳ͏͔᪴͘ɺͲ͏௚͔͢ʁ ֶशऀͷ͖᪴ ≒ ߨٛͷվળ఺ ɾ ԿΛ໰͏͔ɺͳͥ໰͏͔ʁ ઃ໰จʹΑͬͯ͸ “࣭໰͢Δ͚ͩ” ʹͳΔ
23. σʔλͰݟΔ
    ղઆಈըͱ8FCςΩετͷҧ͍ RailsνϡʔτϦΞϧ × ൓సֶश "*
    Λ༻͍ͯ໰୊Λղ͘ͱ͖ɺ
    ໰୊Λ೉͍͠ͱײ͡·͔ͨ͠ʁ 2 ֶੜʹΑΔ
    "*
    ʹର͢ΔධՁ
    ̏ஈ֊ධՁ
    
    ̍ϲ݄ؒ
    
    HQUUVSCP https://bit.ly/learn-to-code-with-chatgpt-raw-data
24. σʔλͰݟΔ
    ղઆಈըͱ8FCςΩετͷҧ͍ RailsνϡʔτϦΞϧ × ൓సֶश 2 डߨੜʹΑΔ࢖ͬͯΈͨॴײ
    ʢҰ෦ൈਮʣ ίϐϖͰ͸ͳ͍͜ͱΛূ໌͢ΔͨΊͷ࿑ྗ
    ʢճ౴ͷਖ਼͠͞ɺ͔֬Β͠͞ɺग़యͳͲͷௐࠪʣ͕ҙ֎ͱ͕࣌ؒඞཁ l l ˠ
    ݪҼʮ໰୊ͷճ౴ʹ͸ඞͣग़యΛ໌هͯ͠Լ͍͞ʯ
    ɹ
    ͍ͬͨΜʮग़యແ͠Ͱ
    0,ʯʹͯ͠Έͨͱ͜Ζ
     ܦݧ͕ͳ͔ͬͨͨΊɺ$IBU(15ʹฉ͖·ͨ͠
    ʢษڧʹͳΓ·ͨ͠ʣ ˠ
    ओʹʮॳΊͯ৮ΕΔτϐοΫʯͰ࢖ΘΕΔ܏޲
    
25. RailsνϡʔτϦΞϧ × ൓సֶश ࠾఺͕େมʹͳͬͯ͠·ͬͨ
26. RailsνϡʔτϦΞϧ × ൓సֶश ࠾఺͕େมʹͳͬͨཧ༝ͷߟ࡯ ઃ໰ྫɿͳͥ Git ͳͲͷπʔϧͰόʔδϣϯ؅ཧΛ͢Δ͜ͱ͕ଟ͍ʁ ΋͠όʔδϣϯ؅ཧΛ͠ͳ͔ͬͨ৔߹ɺͲ͏ͳΔʁ --.
    ͷීٴલ --.
    ͷීٴޙ 👀 ઃ໰ΛಡΉ 🔍 จݙΛௐ΂Δ 📝 ճ౴Λهೖ͢Δ 👀 ઃ໰ΛಡΉ 🔍 จݙΛௐ΂Δ 📝 ճ౴Λهೖ͢Δ ճ౴͕ ෼͔Βͳ͍ ճ౴͕ ݟ͖͑ͯͨ LLM (AI) ʹ ฉ͍ͯΈΔ ਖ਼͍͔͠ ֬ೝ͢Δ ճ౴Λਫ਼ࠪ͠ దٓमਖ਼͢Δ
27. RailsνϡʔτϦΞϧ × ൓సֶश ࠾఺͕େมʹͳͬͨཧ༝ͷߟ࡯ ઃ໰ྫɿͳͥ Git ͳͲͷπʔϧͰόʔδϣϯ؅ཧΛ͢Δ͜ͱ͕ଟ͍ʁ ΋͠όʔδϣϯ؅ཧΛ͠ͳ͔ͬͨ৔߹ɺͲ͏ͳΔʁ --.
    ͷීٴޙ 👀 ઃ໰ΛಡΉ 🔍 จݙΛௐ΂Δ 📝 ճ౴Λهೖ͢Δ LLM (AI) ʹ ฉ͍ͯΈΔ ਖ਼͍͔͠ ֬ೝ͢Δ ճ౴Λਫ਼ࠪ͠ దٓमਖ਼͢Δ
28. RailsνϡʔτϦΞϧ × ൓సֶश ࠾఺͕େมʹͳͬͨཧ༝ͷߟ࡯
29. RailsνϡʔτϦΞϧ × ൓సֶश --.
    Λߟྀͨ͠
    ࠾఺ج४ͷ໌֬Խ શͯ߹ͬͯͨΒਖ਼౴ ͱͨ͠ ճ౴Λཧղ͠ɺదٓਫ਼ࠪ͠ɺ ϙΠϯτΛߜΓɺमਖ਼͢Δɻ
30. RailsνϡʔτϦΞϧ × ൓సֶश "*
    ࣌୅ʹେࣄͳ
    ࡟ΔεΩϧΛຏ͘ w ੜ੒"*͕ੜ੒ͨ͠੒Ռ෺͸৑௕ͳ͜ͱ͕ଟ͍͔Βɺෆཁͳ΋ͷ͸࡟আͯ͠։ൃݩͷෛՙΛ্͛ͳ͍Α͏ʹ͠Α͏
    w ੜ੒"*͕ੜ੒ͨ͠੒Ռ෺ʹ͸ෳ਺ͷ࿩୊ؚ͕·Εͯ͠·͍ͬͯΔ͜ͱ͕͋Δ͔Βɺ
    ݸผͷ࿩୊ʹ෼ׂͯ͠ɺ։ൃݩͷෛՙΛ্͛ͳ͍Α͏ʹ͠Α͏
    w ։ൃݩ͔Βͷίϝϯτ΍ϨϏϡʔΛੜ੒"*ʹؙ౤͛ͯ͠ฦࣄΛ͢ΔΜ͡Όͳͯࣗ͘෼͕ཧղͯ͠΍ΓͱΓ͠Α͏ https://www.clear-code.com/blog/2026/2/20/oss-gate-workshop-of fl ine-optim-report.html “
31. RailsνϡʔτϦΞϧ × ൓సֶश "*
    ࣌୅ʹେࣄͳ
    ࡟ΔεΩϧΛຏ͘ AIɿॳ೔ʹं͕खʹೖΔɻ
    ɹɹ6ͭͷंྠ͕͋ͬͯɺυΞ͕ٯ޲͖Ͱɺϩέοτϥϯνϟʔ͕෇͍ͯΔɻ https://x.com/devops_nk/status/2039939200372355371/photo/1 https://www.reddit.com/r/ProgrammerHumor/comments/1l6o0ac/waterfallagileandai/
32. RailsνϡʔτϦΞϧ × ൓సֶश ࠾఺ج४Λݟ௚ͨ͠
    
    प໨ ɾ AI ͷ࢖༻͸Ҿ͖ଓ͖ OK! ௨ৗͷ࣭໰΋ɺϨϙʔτ΋ɺظ຤ࢼݧ΋ɻ ɾ ໰୊͸ “ͲΕ͔౰ͨΕ͹...” ̍ͭͷઃ໰ʹɺ̏ʙ̑ͷճ౴Λॻ͖͕ͪɻ ɾ શͯ߹ͬͯͨΒਖ਼౴ͱͨ͠ ֓ཁΛ AI Ͱ௫ΈɺৄࡉΛࣗ෼Ͱਫ਼ࠪ͢Δ
33. RailsνϡʔτϦΞϧ × ൓సֶश ՝୊ఏग़ͷϙΠϯτ
    
    प໨ 1. ৘ใΛऩू͢Δ Webݕࡧ΋LLM࣭໰΋ɺੵۃతʹ࢖͓͏ 2. ৘ใΛਫ਼ࠪ͢Δ ͦͷ৘ใ͸ɺؒҧ͍ͬͯΔ͔΋͠Εͳ͍ 3. ৘ใʹ੹೚Λ࣋ͭ ͋ͳͨͷճ౴ͷ੹೚͸ɺ͋ͳ͕ͨ࣋ͭ
34. ͓·͚
    ʰ࡞Γͳ͕ΒɺֶͿʱ
    1SPKFDU#BTFE
    -FBSOJOH
    Λ͞Βʹ׆͔ͨ͢Ίͷ
    --.
35. RailsνϡʔτϦΞϧ × ൓సֶश ஌ͬͯΔਓ͸ଟ͘
    
    ࢖ͬͨਓ͸গͳ͍ ஌ͬͯΔ
    
    ࢖ͬͨ
    
    ࡞ͬͨ      ݄ ݄     /3*
    
    ೔ຊͷ$IBU(15ར༻ಈ޲
    
    ωοτΞϯέʔτௐࠪ
    ೥݄࣌఺
    IUUQTXXXOSJDPNKQLOPXMFEHFSFQPSUMTUDD@ ೝ஌཰ ར༻཰
36. ϑϨʔϜϫʔΫ։ൃಛ࿦ ίϥϘ։ൃಛ࿦ ← 1#-Ͱ։ൃ͢Δ ← ڞಉͰ։ൃ͢Δ ← ̍ਓͰ։ൃ͢Δ ਎ۙͳ՝୊Λղܾ (PBL) (※ ίί͕๻ͷ୲౰)
37. ৭ʑͳϓϩμΫτ։ൃྫ ϫΫϫΫΛ๲Β·͍ͤͨ
38. ֶੜʹΑΔϓϩμΫτ։ൃྫ jr.mitou.org/projects/showcase
39. jr.mitou.org/projects/showcase ֶੜʹΑΔϓϩμΫτ։ൃྫ
40. jr.mitou.org/projects/showcase ֶੜʹΑΔϓϩμΫτ։ൃྫ
41. ʰ࡞Γͳ͕ΒɺֶͿʱ
    1SPKFDU#BTFE
    -FBSOJOH
42. RailsνϡʔτϦΞϧ × ൓సֶश w ࠓճͷΞϯέʔτ݁Ռʢ3BX
    %BUB
    
    (PPHMF
    'PSNʣ
    IUUQTCJUMZMFBSOUPDPEFXJUIDIBUHQUSBXEBUB
    w (BUFT/PUFT
    
    5IF
    "HF
    PG
    "*
    IBT
    CFHVO
    IUUQTXXXHBUFTOPUFTDPN5IF"HFPG"*)BT#FHVO
    w 0QFO"*
    
    $IBU(15
    ࠲ஊձ
    
    :PV5VCF
    IUUQTXXXZPVUVCFDPNXBUDI WBCO(W(&NXP"
    w "**5
    ϑϨʔϜϫʔΫ։ൃಛ࿦
    ʹ͓͚Δࣄྫ
    IUUQTUXJUUFSDPNZBTVMBCTUBUVT
    w ੜ੒
    "*
    ͷॳ౳த౳ڭҭͰͷΨΠυϥΠϯࡦఆʹ޲͚ͨఏݴ
    IUUQTQSUJNFTKQNBJOIUNMSEQIUNM
    w ੜ੒
    "*
    ͷྙཧతɾ๏తɾࣾձత՝୊ʢ&-4*ʣ࿦఺ͷ֓؍
    IUUQTFMTJPTBLBVBDKQSFTFBSDI
    w δϣʔδΞ޻Պେɺ5"
    ͕ਓ޻஌ೳͩͬͨ͜ͱʹֶੜͷ୭΋ؾ͔ͮͳ͔ͬͨ
    IUUQTXXXHJ[NPEPKQQPTU@IUNM ؔ࿈ϦϯΫʢ֓ཁཝ͔Β֤ϦϯΫΛḷΕ·͢ʂʣ
43. RailsνϡʔτϦΞϧ × ൓సֶश w ະ౿δϡχΞ
    
    খதߴੜΫϦΤʔλࢧԉϓϩάϥϜ
    IUUQTKSNJUPVPSH fi OBM
    w 3BJMTνϡʔτϦΞϧ
    
    ϓϩμΫτ։ൃͷ
    
    ˠ
    
    Λֶ΅͏
    IUUQTSBJMTUVUPSJBMKQ
    w 3BJMTνϡʔτϦΞϧ
    
    "*
    αϙʔτػೳ
    IUUQTSBJMTUVUPSJBMKQBJ@TVQQPSU
    w 3BJMTνϡʔτϦΞϧ
    
    OPUF
    ϚΨδϯ
    IUUQTOPUFDPNZBTTMBCNNEEG
    w :PV5VCF
    νϟϯωϧ
    
    3BJMTνϡʔτϦΞϧ
    IUUQTZPVUVCFDPN:BTT-BC
    w :PV5VCF
    νϟϯωϧ
    
    $PEFS%PKP
    +BQBO
    IUUQTZPVUVCFDPN$PEFS%PKP+BQBO
    w :PV5VCF
    νϟϯωϧ
    
    ະ౿δϡχΞ
    IUUQTZPVUVCFDPN.JUPV+S
    ؔ࿈ϦϯΫʢ֓ཁཝ͔Β֤ϦϯΫΛḷΕ·͢ʂʣ
44. εέδϡʔϧɺߨٛࢿྉɺϨ ポ ʔτɺ࠾఺ج४ͳͲ ϑϨʔϜϫʔΫ։ൃಛ࿦ɺߨٛ৘ใ·ͱΊ
45. ॳ೔ͷ໨ඪϦετ (1) ճ౴ޙʹಧ͘ɺট଴ϝʔϧΛ֬ೝ (2) ಈըڭࡐʹΞΫηεͰ͖Δ͔֬ೝ (3) جຊతʹ͸ʰղઆಈըʱͰਐΊͯɺ ؆୯ͦ͏ͳΒʰഒ଎ʱʹͯ͠ΈΔɻ (4) ॳճΞϯέʔτʹճ౴ͯ͠ΈΑ͏ ࠔͬͨ͜ͱ͕͋Ε͹νϟοτ / ޱ಄Ͱͥͻʂ ͜͜·Ͱग़དྷ͍ͯΔͱɺࠓޙ͕ ‘ͪΐͬͱ’ ָʹͳΓ·͢ɻ
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47. RailsνϡʔτϦΞϧ × ൓సֶश --.
    Λߟྀͨ͠
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48. ɾ AI ͷ࢖༻͸Ҿ͖ଓ͖ OK! ௨ৗͷ࣭໰΋ɺϨϙʔτ΋ɺظ຤ࢼݧ΋ɻ ɾ ໰୊͸ “ͲΕ͔౰ͨΕ͹...” ̍ͭͷઃ໰ʹɺ̏ʙ̑ͷճ౴Λॻ͖͕ͪɻ ɾ શͯ߹ͬͯͨΒਖ਼౴ͱͨ͠ ֓ཁΛ AI Ͱ௫ΈɺৄࡉΛࣗ෼Ͱਫ਼ࠪ͢Δ RailsνϡʔτϦΞϧ × ൓సֶश ՝୊ఏग़ͷϙΠϯτ
    ࠶ܝ
49. RailsνϡʔτϦΞϧ × ൓సֶश ՝୊ఏग़ͷϙΠϯτ
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