Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
英語を話せる人のマインドセットについて / mindset-to-be-fluent-in-e...
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Kohei Ota
June 28, 2017
Education
690
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
英語を話せる人のマインドセットについて / mindset-to-be-fluent-in-english
CLEMで発表したプレゼンです
Kohei Ota
June 28, 2017
More Decks by Kohei Ota
See All by Kohei Ota
CloudNative Meets WebAssembly: Exploring Wasm's Potential to Replace Containers
inductor
4
3.6k
The Cloud Native Chronicles: 10 Years of Community Growth Inside and Outside Japan
inductor
0
180
Cracking the KubeCon CfP
inductor
2
920
KubeCon Recap -Platform migration at Scale-
inductor
1
1.1k
コンテナビルド最新事情 2022年度版 / Container Build 2022
inductor
3
600
データベースとストレージのレプリケーション入門 / Intro-of-database-and-storage-replication
inductor
28
6.6k
KubeConのケーススタディから振り返る、Platform for Platforms のあり方と その実践 / Lessons from KubeCon case studies: Platform for Platforms and its practice
inductor
3
990
オンラインの技術カンファレンスを安定稼働させるための取り組み / SRE activity for online conference platform
inductor
1
1.4k
Kubernetesネットワーキング初級者脱出ガイド / Kubernetes networking beginner's guide
inductor
22
7.7k
Other Decks in Education
See All in Education
Laura Wilson - The Quarterly PR Pivot
laurawilsonbseo1
1
370
Examen de Selectividad. Geografía julio 2026 (Convocatoria Extraordinaria). UCLM
juanmartin2026
1
9.1k
[2026前期火5] 論理学(京都大学文学部 前期 第11回)「ハーモニー:三層モデルと保存拡大」
yatabe
0
170
「機械学習と因果推論」入門 ⑤ 因果効果推定の一般化
masakat0
0
160
参加制約理論
roadofhope
0
140
Dashboards - Lecture 11 - Information Visualisation (4019538FNR)
signer
PRO
1
2.8k
Soluciones al examen de Geografía 2026. JULIO (Convocatoria Extraordinaria)
juanmartin2026
1
15k
We部コミュニティスライド2026-04-24
junhat6
0
190
Interaction - Lecture 10 - Information Visualisation (4019538FNR)
signer
PRO
0
2.7k
Estimating Group × Time Interaction in Scale-Transformed CEFR-J Self-Assessment Scores: A Case in Study-Abroad Research
uranoken
0
140
Modern Data Fetching Techniques in Angular
debug_mode
0
230
Catecismo 26 #2 - Do Credo; Introdução ao 1º artigo
cm_manaus
0
160
Featured
See All Featured
Building an army of robots
kneath
306
46k
The agentic SEO stack - context over prompts
schlessera
0
840
The Curious Case for Waylosing
cassininazir
1
430
From Legacy to Launchpad: Building Startup-Ready Communities
dugsong
0
260
Statistics for Hackers
jakevdp
799
230k
職位にかかわらず全員がリーダーシップを発揮するチーム作り / Building a team where everyone can demonstrate leadership regardless of position
madoxten
63
55k
The #1 spot is gone: here's how to win anyway
tamaranovitovic
3
1.1k
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
460
Bridging the Design Gap: How Collaborative Modelling removes blockers to flow between stakeholders and teams @FastFlow conf
baasie
0
610
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
marktimemedia
31
2.8k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
6k
Have SEOs Ruined the Internet? - User Awareness of SEO in 2025
akashhashmi
0
390
Transcript
ӳޠ͕Ͱ͖Δਓͷ ϚΠϯυηοτʹ͍ͭͯ ߟ͑ͯΈͨ
"CPVUNF w /BNF,PIFJ0UB JOEVDUPS 4FSWFS&OHJOFFS! w 5XJUUFS!IUK@GVTJPO w "HF
w 'BWPSJUF&OHMJTIBDDFOU4USBZBO ΦʔετϥϦΞͰࣗࠃͷ͜ͱΛ4USBZBͱॻ͘
8IBUJTlϚΠϯυηοτz ϚΠϯυηοτͱߟ͑ํͷجຊతͳΈͷ͜ͱ ݸਓʹ͓͍ͯɺ৬ʹඞཁͳٕࣝೳΛ ໌֬ʹҙຯ͚ͮΔͷʹཱͭɻ ಉٕࣝ͡ೳΛֶͿʹͯ͠ɺͦͷҙຯ తΛҙࣝ͢Δͷͱ͠ͳ͍ͷͱͰɺ ݁Ռʹେ͖ͳҧ͍͕ग़Δ͜ͱ͕͋Δɻ ໌֬ʹҙຯ͚ͮΔ
Έͳ͞Μ࣭Ͱ͢ ӳޠֶश͢Δࡍɺӳޠʹ໌֬ͳҙຯΛݟग़͍ͯ͠·͔͢ʁ ਓؒࣗʹͱͬͯҙຯΛ࣋ͭͷʹڵຯΛऒ͔Εɺ ֶशҙཉ͕૿͢ੜ͖Ͱ͢ɻ ษڧͨ͘͠ͳ͍ͷΛແཧΓษڧ͢Δ͜ͱ ࣗʹͱͬͯΈͦʹͱͬͯ ͋·ΓޮՌతͰ͋Γ·ͤΜɻ ࣋
ӳޠΛͬͯΔਓͲΜͳߟ͑Λ ࣮࣋ͬͯફͯ͠Δͷ͔ʁ ͱ͍͏ٙ વ͜͜ʹ͍Δਓ͍࣋ͬͯΔͣʂ ɾɾɾͰ͢ΑͶʁ
ͱΓ͋͑ͣۙͳͱ͜Ζ͔Β աڈͷDMFNͷ-5Λ͍ͯΈΑ͏ -5ͬͨͻͱ ͋Δఔӳޠ͕ʹ͍͍ͭͯΔͱ͍͏ࣗෛͷ͋Δਓ
աڈͷ$-&.ͷ-5ͷλΠτϧ w ʮ͖͋ΒΊʯ͔Β͡ΊΔӳձ w %POU4UVEZ&OHMJTI w ӳޠษڧ͠Α͏ͱࢥͬͯͨΒ ͍ͭͷؒʹ͔ςχεͯͨ͠ Έͳ͞Μ͍Ζ͍Ζߟ͑ͯ·͢Ͷ
ͪͳϫΠͷӳޠྗ w ӳޠֶशྺ͘Β͍ ֶੜ࣌࠷ޙͷ50&*$ w ͍·ແษڧͰ50&*$͍͍ͩͨͪΐͬͱ w εϐʔΩϯά͕Ұ൪ಘҙ ಛʹ1SPOVODJBUJPO'MVFODZ w
ӳޠͷجૅૉཆϨϕϧͦΜͳʹߴ͘ͳ͍ ମײɺ͜͏ͷେֶੜ͘Β͍ ઐޠኮআ͘ w өըɾυϥϚɾ:PVUVCFಈըΛݟ֮ͯ͑ͯ ͔Βͻͨ͢Β֎ਓͱΓଓ͚Δήʔϛϯάੜ׆
ͶΜ·͑ͷ΅ͦ͘ͷ BUKBQBOFTFPOJSDGSFFOPEFOFU
ͶΜ·͑ͷ΅ͦ͘ͷ BUKBQBOFTFPOJSDGSFFOPEFOFU
͜ΜͳͰɺͳΜͱͳ͘ձͰ͖ͯͨͱ͍͏ࣄ࣮͕͋Δ ˠ͠ΌΔͷʹΉ͔͍͍͍ͣ͑͠͝Βͳ͍ ͨͩৗతʹ͏ݴ༿Λ܁Γฦ͚ͩ͢ͳΜͩͱ͍͏͜ͱ
ͦͯ͠ɺܧଓʹඞཁͳͷɺ࣮ੜ׆ʹ͓͍ͯ ӳޠΛ໌֬ʹҐஔ͚ͮͯ͋͛Δ͜ͱͰ͢ɻ ͲΜͳํ๏ͰΞϓϩʔν͍͔ͯ͘͠ਓʹΑͬͯ ઍࠩສผͳͷͰɺਖ਼͍͠ํ๏ͱ͍͏ͷͳ͍ͷͰ͢ɻ ਓͷϝιουߟ͑ํΛࢀߟʹɺ࣮ੜ׆ʹଈͨ͠ํ๏Λ ࣗͰݟ͚ͭͳ͚ΕͳΓ·ͤΜɻ
w ϓϥΠυࣺͯΑ͏ ӳޠ͕ͤͳ͍͜ͱஏ͔͍ͣ͜͠ͱ͡Όͳ͍͠ɺ ͤͯผʹ͍͢͜͝ͱ͡Όͳ͍ w ࣗͷڵຯΛ࣋ͬͯऔΓΊΔ͜ͱ͔Βʂ ˠܧଓࣗ৴ͱ݁Ռʹ݁͢Δ w ӳޠͰ͕ࣗԿΛ͍͔ͨ͠ɺ۩ମతͳΠϝʔδΛ࣋ͱ͏ യવͱͨ͠ҙࣝͰͷඪୡ͍͠
w ӳޠֶशͷํ๏͔ΓʹؾΛऔΒΕͣɺ ຊདྷͷతΛݟͭΊͦ͏ ˠϝιουۜͷؙͰͳ͍ w ීஈ͔Β͕ࣗ;ͱࢥ͏͜ͱΛӳޠʹஔ͖͑ͯΈΑ͏ ͷࢥ͏ɺӳޠΛͤΔΑ͏ʹͳΔͨΊͷ ϚΠϯυηοτతͳͭ
None
None
None
NPIJLBO[TMBDLDPN&OHMJTI Έͳ͞ΜීஈࢥͬͯΔ͜ͱΛӳޠͰ ͭͿ͍ͯΈ·ͤΜ͔ʂʁ ৺ΑΓ͓͓ͪͯ͠Γ·͢