{"id":13711,"date":"2021-07-09T19:04:49","date_gmt":"2021-07-09T10:04:49","guid":{"rendered":"https:\/\/adc-japan.com\/uk\/tips-tr\/13711.html"},"modified":"2026-11-04T22:01:50","modified_gmt":"2026-11-04T13:01:50","slug":"uchida-kraepelin-performans-testi-ve-dijital-donusum-dx","status":"publish","type":"post","link":"https:\/\/adc-japan.com\/uk\/tr\/tips-tr\/13711.html","title":{"rendered":"Uchida-Kraepelin Performans Testi ve Dijital D\u00f6n\u00fc\u015f\u00fcm (DX)"},"content":{"rendered":"<div lang=\"tr\" style=\"overflow-wrap:anywhere;\">\n<aside class=\"uk-ai-translation-notice\" lang=\"tr\" style=\"box-sizing:border-box;clear:both;margin:0 0 1.5em;padding:1em;border:1px solid #ccd5de;border-left:4px solid #486581;background:#f4f7fa;color:#243746;font-size:14px;line-height:1.8;overflow-wrap:anywhere;\">\n<p style=\"margin:0;\">Bu sayfa, \u00fcretken yapay zek\u00e2 kullan\u0131larak Japoncadan otomatik olarak \u00e7evrilmi\u015ftir. \u00c7eviri hatalar i\u00e7erebilir. \u0130\u00e7eri\u011fin yorumlanmas\u0131nda Japonca as\u0131l metni esas al\u0131n.<\/p>\n<\/aside>\n<h3>\u0130nsan \u00f6zelliklerini anlamada dijital d\u00f6n\u00fc\u015f\u00fcmden (DX) yararlanmak<\/h3>\n<p>Japonca kayna\u011f\u0131n yakla\u015f\u0131m\u0131na g\u00f6re Uchida-Kraepelin Performans Testi (UK Performans Testi), dijital d\u00f6n\u00fc\u015f\u00fcm kapsam\u0131nda insanlar\u0131n yeteneklerini, ki\u015filik ve davran\u0131\u015f \u00f6zelliklerini ele almak i\u00e7in \u00f6zellikle elveri\u015flidir.<\/p>\n<h3>DX nedir?<\/h3>\n<p>Dijital d\u00f6n\u00fc\u015f\u00fcm, <strong><span style=\"color: #ff6600;\">bilgi teknolojilerinin yayg\u0131nla\u015fmas\u0131n\u0131n insanlar\u0131n ya\u015fam\u0131n\u0131 her y\u00f6nden daha iyi h\u00e2le getirmesi<\/span><\/strong> d\u00fc\u015f\u00fcncesini ifade eder. Kavram genellikle \u0130sve\u00e7\u2019teki Ume\u00e5 \u00dcniversitesinden Profes\u00f6r Erik Stolterman\u2019\u0131n 2004 y\u0131l\u0131ndaki a\u00e7\u0131klamas\u0131na dayand\u0131r\u0131l\u0131r ve DX olarak k\u0131salt\u0131l\u0131r. Japonya Ekonomi, Ticaret ve Sanayi Bakanl\u0131\u011f\u0131n\u0131n DX rehberindeki yakla\u015f\u0131m ise \u015f\u00f6yle \u00f6zetlenebilir: <span style=\"color: #ff6600;\"><strong>\u0130\u015fletmeler, veri ve dijital teknolojileri kullanarak m\u00fc\u015fteri ve toplumun ihtiya\u00e7lar\u0131na g\u00f6re \u00fcr\u00fcnlerini, hizmetlerini ve i\u015f modellerini d\u00f6n\u00fc\u015ft\u00fcr\u00fcr; faaliyetlerini, kurulu\u015f yap\u0131lar\u0131n\u0131, s\u00fcre\u00e7lerini ve kurum k\u00fclt\u00fcrlerini de de\u011fi\u015ftirerek \u00e7evrelerindeki h\u0131zl\u0131 de\u011fi\u015fime yan\u0131t verir ve rekabet \u00fcst\u00fcnl\u00fc\u011f\u00fc olu\u015fturur.<\/strong><\/span><\/p>\n<h3>Uchida-Kraepelin Performans Testi ve DX<\/h3>\n<p>Uchida-Kraepelin Performans Testi k\u00e2\u011f\u0131t ve kalemle uyguland\u0131\u011f\u0131ndan dijital d\u00f6n\u00fc\u015f\u00fcmle ilgisiz g\u00f6r\u00fcnebilir. Oysa toplama i\u015flemi, her dakikadaki i\u015flem miktar\u0131 ve hata say\u0131s\u0131 gibi do\u011fas\u0131 gere\u011fi say\u0131sal veriler \u00fcretir. De\u011ferlendirme (Judgment) sonu\u00e7lar\u0131 da bu verilerin grafikler ve metinlerle g\u00f6r\u00fcn\u00fcr h\u00e2le getirilmesidir.<\/p>\n<figure class=\"uk-dx-image\" style=\"margin:0 0 24px;\"><a href=\"https:\/\/adc-japan.com\/uk\/wp-content\/uploads\/2026\/10\/uk-applications-tr-original-logo.png\"><img decoding=\"async\" width=\"1680\" height=\"830\" class=\"wp-image-13747\" src=\"https:\/\/adc-japan.com\/uk\/wp-content\/uploads\/2026\/10\/uk-applications-tr-original-logo.png\" alt=\"Uchida-Kraepelin Testi ve dijital d\u00f6n\u00fc\u015f\u00fcm: i\u015fe uygunluk, g\u00fcvenlik y\u00f6netimi, e\u011fitim ve ruh sa\u011fl\u0131\u011f\u0131; \u00f6zg\u00fcn yerle\u015fim ve \u0130ngilizce logo korunmu\u015ftur\" style=\"max-width:100%;height:auto;width:600px;\" srcset=\"https:\/\/adc-japan.com\/uk\/wp-content\/uploads\/2026\/10\/uk-applications-tr-original-logo.png 1680w, https:\/\/adc-japan.com\/uk\/wp-content\/uploads\/2026\/10\/uk-applications-tr-original-logo-300x148.png 300w, https:\/\/adc-japan.com\/uk\/wp-content\/uploads\/2026\/10\/uk-applications-tr-original-logo-1024x506.png 1024w, https:\/\/adc-japan.com\/uk\/wp-content\/uploads\/2026\/10\/uk-applications-tr-original-logo-768x379.png 768w, https:\/\/adc-japan.com\/uk\/wp-content\/uploads\/2026\/10\/uk-applications-tr-original-logo-1536x759.png 1536w\" sizes=\"(max-width: 1680px) 100vw, 1680px\" \/><\/a><\/p>\n<details class=\"uk-dx-original-reference\" style=\"margin-top:12px;\">\n<summary>Diyagramdaki a\u00e7\u0131klamalar<\/summary>\n<div class=\"uk-dx-diagram\" style=\"max-width:600px;border:1px solid #ccc;padding:16px;box-sizing:border-box;line-height:1.7;overflow-wrap:anywhere;\">\n<p style=\"background:#20478f;color:#fff;padding:12px;text-align:center;\"><strong>Uchida-Kraepelin Performans Testi: yetenek ve davran\u0131\u015f \u00f6zelliklerini say\u0131sal veriye d\u00f6n\u00fc\u015ft\u00fcrmek<\/strong><br \/>\u2193<br \/>Ham test sonu\u00e7lar\u0131<\/p>\n<p style=\"background:#e7f0f5;padding:12px;text-align:center;\"><strong>B\u00fcy\u00fck veri<\/strong><br \/>&#x2194; Klinik verilerle kar\u015f\u0131la\u015ft\u0131rma<br \/>\u2193 De\u011ferlendirme (Judgment) modellerini geli\u015ftirme ve g\u00fcncelleme<br \/>Farkl\u0131 modellerden elde edilen de\u011ferlendirme (Judgment) sonu\u00e7lar\u0131<\/p>\n<ul style=\"margin-bottom:0;\">\n<li>\u0130\u015fe uygunluk: i\u015fe al\u0131m de\u011ferlendirmesi, yerle\u015ftirme ve g\u00f6rev de\u011fi\u015fiklikleri<\/li>\n<li>G\u00fcvenlik y\u00f6netimi: kazalar\u0131 \u00f6nleme ve s\u00fcr\u00fcc\u00fc belgesi sistemleri<\/li>\n<li>E\u011fitim: e\u011fitim planlama, ileri \u00f6\u011frenim dan\u0131\u015fmanl\u0131\u011f\u0131, \u00e7al\u0131\u015fan e\u011fitimi ve kariyer deste\u011fi<\/li>\n<li>Ruh sa\u011fl\u0131\u011f\u0131: duygusal iyi olu\u015f, sa\u011fl\u0131k de\u011ferlendirmesi ve i\u015fe d\u00f6n\u00fc\u015f deste\u011fi<\/li>\n<\/ul>\n<\/div>\n<\/details>\n<\/figure>\n<p>Test temel olarak iki t\u00fcr veri \u00fcretir:<\/p>\n<ol>\n<li>Her dakikadaki i\u015flem miktar\u0131 ve hata say\u0131s\u0131 ile ya\u015f gibi ham test verileri<\/li>\n<li>Ham verilerin bir de\u011ferlendirme (Judgment) modelinden ge\u00e7irilmesiyle elde edilen sonu\u00e7 verileri<\/li>\n<\/ol>\n<p>De\u011ferlendirme (Judgment) modeli; ham test verilerinin i\u015f davran\u0131\u015flar\u0131, \u00f6\u011frenme bi\u00e7imi, i\u015fe uygunluk, kazalar ve sa\u011fl\u0131k gibi klinik verilerle kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131ndan t\u00fcretilen bir i\u015flevdir. Kullan\u0131m ama\u00e7lar\u0131 de\u011fi\u015ftik\u00e7e modeller de s\u00fcrekli g\u00fcncellenir. Bulut de\u011ferlendirme hizmetindeki CSV sonu\u00e7lar\u0131, ham verilere bir model uygulanmas\u0131yla elde edilir.<\/p>\n<p>Amaca uygun mevcut bir model varsa ondan yararlan\u0131labilir. Yoksa yapay zek\u00e2 ile klinik veriler ile ham veriler veya mevcut de\u011ferlendirme sonu\u00e7lar\u0131 aras\u0131ndaki ili\u015fkiler incelenerek yeni bir model geli\u015ftirilmesi d\u00fc\u015f\u00fcn\u00fclebilir. Dijital d\u00f6n\u00fc\u015f\u00fcm \u00e7al\u0131\u015fmalar\u0131n\u0131zda Uchida-Kraepelin Performans Testi\u2019ni de de\u011ferlendirin.<\/p>\n<h3>Bir DX \u00f6nerisi: trafik kazalar\u0131n\u0131 azaltmaya yard\u0131mc\u0131 olmak i\u00e7in testten yararlanmak<\/h3>\n<p>Herkes i\u00e7in sa\u011fl\u0131k ve iyi olu\u015fla ilgili SKA 3\u2019\u00fcn 3.6 numaral\u0131 hedefi, trafik kazalar\u0131ndan kaynaklanan \u00f6l\u00fcm ve yaralanmalar\u0131 yar\u0131ya indirmeyi i\u00e7erir; bu hedefin \u00f6zg\u00fcn son tarihi 2020\u2019dir. Kaynak yaz\u0131, bu ama\u00e7la Uchida-Kraepelin Performans Testi\u2019nden yararlanmay\u0131 ele al\u0131r.<\/p>\n<p>\u00d6ncelikle yetenek, ki\u015filik ve davran\u0131\u015f \u00f6zellikleriyle kazalar aras\u0131ndaki ili\u015fkinin incelenmesi gerekir. \u00d6zg\u00fcn yaz\u0131da, a\u011f\u0131r kazaya kar\u0131\u015fm\u0131\u015f ki\u015filerle hi\u00e7 kazaya kar\u0131\u015fmam\u0131\u015f ki\u015filerin da\u011f\u0131l\u0131mlar\u0131n\u0131n farkl\u0131 oldu\u011fu bildirilir. Ger\u00e7ek verilere dayanan ge\u00e7ici de\u011ferlendirme \u00f6l\u00e7\u00fct\u00fcyle, daha d\u00fc\u015f\u00fck ve daha y\u00fcksek risk e\u011filimlerini ifade eden A ve B gruplar\u0131 olu\u015fturuldu\u011fu a\u00e7\u0131klan\u0131r.<\/p>\n<div class=\"uk-dx-data-table\" tabindex=\"0\" role=\"region\" aria-label=\"Trafik g\u00fcvenli\u011fi \u00f6rne\u011fi: gruplar\u0131n kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131\" style=\"max-width:100%;overflow-x:auto;\">\n<table style=\"min-width:420px;width:100%;\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr style=\"height: 18.0pt;\">\n<td class=\"xl65\" style=\"height: 18pt; width: 52pt; text-align: center;\" width=\"69\" height=\"24\"><\/td>\n<td class=\"xl65\" style=\"border-left: none; width: 52pt; text-align: center;\" align=\"left\" width=\"69\">Kazaya kar\u0131\u015fan grup<\/td>\n<td class=\"xl65\" style=\"border-left: none; width: 52pt; text-align: center;\" align=\"left\" width=\"69\">Kazaya kar\u0131\u015fmayan grup<\/td>\n<\/tr>\n<tr style=\"height: 18.0pt;\">\n<td class=\"xl65\" style=\"height: 18pt; border-top: none; text-align: center;\" align=\"left\" height=\"24\">A grubu<\/td>\n<td class=\"xl66\" style=\"border-top: none; border-left: none; text-align: center;\" align=\"right\">38%<\/td>\n<td class=\"xl66\" style=\"border-top: none; border-left: none; text-align: center;\" align=\"right\">76%<\/td>\n<\/tr>\n<tr style=\"height: 18.0pt;\">\n<td class=\"xl65\" style=\"height: 18pt; border-top: none; text-align: center;\" align=\"left\" height=\"24\">B grubu<\/td>\n<td class=\"xl66\" style=\"border-top: none; border-left: none; text-align: center;\" align=\"right\">62%<\/td>\n<td class=\"xl66\" style=\"border-top: none; border-left: none; text-align: center;\" align=\"right\">24%<\/td>\n<\/tr>\n<tr>\n<td style=\"border-top: none; text-align: center;\">Toplam<\/td>\n<td style=\"border-top: none; border-left: none; text-align: center;\">100%<\/td>\n<td style=\"border-top: none; border-left: none; text-align: center;\">100%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>Bu gruplar, kazaya kar\u0131\u015facak ki\u015filerle kar\u0131\u015fmayacak ki\u015fileri kusursuz bi\u00e7imde ay\u0131ramaz. Bununla birlikte bu kar\u015f\u0131la\u015ft\u0131rmada A grubunun oran\u0131 daha d\u00fc\u015f\u00fckt\u00fcr. B grubundakiler ara\u00e7 kullanmasayd\u0131 ne olurdu? 2021 tarihli yaz\u0131n\u0131n y\u0131ll\u0131k kaza oran\u0131 i\u00e7in kulland\u0131\u011f\u0131 %1 varsay\u0131m\u0131yla, 10.000 ki\u015filik bir toplulukta a\u015fa\u011f\u0131daki \u00f6rnek ortaya \u00e7\u0131kar:<\/p>\n<div class=\"uk-dx-data-table\" tabindex=\"0\" role=\"region\" aria-label=\"Trafik g\u00fcvenli\u011fi \u00f6rne\u011fi: gruplar\u0131n kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131\" style=\"max-width:100%;overflow-x:auto;\">\n<table style=\"min-width:420px;width:100%;\">\n<tbody>\n<tr>\n<td style=\"text-align: center;\" width=\"69\"><\/td>\n<td style=\"text-align: center;\" width=\"68\">Kazaya kar\u0131\u015fan grup<\/td>\n<td style=\"text-align: center;\" width=\"69\">Kazaya kar\u0131\u015fmayan grup<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">A grubu<\/td>\n<td style=\"text-align: center;\">38<\/td>\n<td style=\"text-align: center;\">7524<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">B grubu<\/td>\n<td style=\"text-align: center;\">62<\/td>\n<td style=\"text-align: center;\">2376<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">Toplam<\/td>\n<td style=\"text-align: center;\">100 (1%)<\/td>\n<td style=\"text-align: center;\">9900 (99%)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u00d6zg\u00fcn yaz\u0131da \u015fu hesaplamalar yap\u0131l\u0131r:<br \/>\nA grubu: 38 \u00f7 7524 \u2248 0,5%<br \/>\nB grubu: 62 \u00f7 2376 \u2248 2,6%<br \/>\nB grubunun bu de\u011feri A grubunun be\u015f kat\u0131ndan fazlad\u0131r. B grubundakiler ara\u00e7 kullanmazsa, geriye kalan s\u00fcr\u00fcc\u00fclerde bu de\u011fer yakla\u015f\u0131k %0,5 olur; \u00f6rne\u011fin ba\u015flang\u0131c\u0131ndaki varsay\u0131m ise %1\u2019dir; yani yakla\u015f\u0131k yar\u0131s\u0131d\u0131r. Grup i\u00e7indeki do\u011fru paydalara ili\u015fkin not a\u015fa\u011f\u0131dad\u0131r.<\/p>\n<p>Ancak B grubuna s\u00fcr\u00fcc\u00fc belgesi vermemek, kazaya kar\u0131\u015fmam\u0131\u015f 2376 ki\u015fiyi de d\u0131\u015far\u0131da b\u0131rakaca\u011f\u0131ndan ger\u00e7ek\u00e7i de\u011fildir. Kaynak yaz\u0131n\u0131n bilgi teknolojileri \u00f6nerisi, B grubunda geli\u015fmi\u015f g\u00fcvenlik ara\u00e7lar\u0131na (ASV) veya otomatik s\u00fcr\u00fc\u015fe ge\u00e7i\u015fe \u00f6ncelik vererek g\u00fcvenli\u011fi art\u0131rmay\u0131 ama\u00e7lar. \u00d6zg\u00fcn yaz\u0131, Japonya\u2019da kazalar\u0131n g\u00f6rece az olmas\u0131na da de\u011finir ve s\u00fcr\u00fcc\u00fc belgesi sistemleri veya trafik kurallar\u0131 daha az geli\u015fmi\u015f \u00fclkelerde kullan\u0131m olas\u0131l\u0131\u011f\u0131n\u0131 tart\u0131\u015f\u0131r. Bunlar her \u00fclkede do\u011frulanm\u0131\u015f uygulamalar de\u011fil, yaz\u0131daki \u00f6nerilerdir. Ama\u00e7, herkes i\u00e7in sa\u011fl\u0131k ve iyi olu\u015fa katk\u0131da bulunmakt\u0131r.<\/p>\n<div class=\"uk-editorial-note\" style=\"border-left:4px solid #777;padding:12px;background:#f5f5f5;\"><strong>\u00d6zg\u00fcn \u00f6rnek ve hesaplamalar hakk\u0131nda notlar<\/strong><\/p>\n<p>Bu \u00e7eviri, 9 Temmuz 2021 tarihli Japonca yaz\u0131n\u0131n tablolar\u0131n\u0131 ve \u00f6rne\u011fini korur. Y\u0131ll\u0131k %1 kaza oran\u0131, a\u00e7\u0131klama amac\u0131yla kullan\u0131lan bir varsay\u0131md\u0131r; g\u00fcncel bir istatistik de\u011fildir. SKA 3.6 hedefinin \u00f6zg\u00fcn son tarihi 2020\u2019dir. \u00d6zg\u00fcn yaz\u0131, kaza say\u0131lar\u0131n\u0131 kazaya kar\u0131\u015fmayanlar\u0131n say\u0131lar\u0131na b\u00f6ler. Grup i\u00e7indeki kaza oranlar\u0131 do\u011fru paydalarla A grubu i\u00e7in 38\/(38+7524) \u2248 0,50%, B grubu i\u00e7in 62\/(62+2376) \u2248 2,54% olur. Bu \u00f6rnek bir nedensellik kan\u0131t\u0131, do\u011frulanm\u0131\u015f bireysel kaza tahmini veya testin, ASV\u2019nin ya da otomatik s\u00fcr\u00fc\u015f\u00fcn kazalar\u0131 belirli \u00f6l\u00e7\u00fcde azaltaca\u011f\u0131n\u0131n garantisi de\u011fildir. Ba\u015fka topluluklarda kullan\u0131m i\u00e7in ayr\u0131ca do\u011frulama gerekir. \u0130\u015fe al\u0131m, s\u00fcr\u00fcc\u00fc belgesi veya ba\u015fka bir uygunluk karar\u0131 yaln\u0131zca bu teste dayand\u0131r\u0131lmamal\u0131d\u0131r.<\/p>\n<p><a href=\"https:\/\/sdgs.un.org\/goals\/goal3\">SKA 3.6 \u2014 Birle\u015fmi\u015f Milletler<\/a><\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Bu sayfa, \u00fcretken yapay zek\u00e2 kullan\u0131larak Japoncadan otomatik olarak \u00e7evrilmi\u015ftir. \u00c7eviri hatalar i\u00e7erebilir.  &hellip; <a href=\"https:\/\/adc-japan.com\/uk\/tr\/tips-tr\/13711.html\" class=\"more-link\">\u7d9a\u304d\u3092\u8aad\u3080 <span class=\"screen-reader-text\">Uchida-Kraepelin Performans Testi ve Dijital D\u00f6n\u00fc\u015f\u00fcm (DX)<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":13746,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[235],"tags":[],"class_list":["post-13711","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tips-tr"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"Test verileri, de\u011ferlendirme modelleri ve dijital d\u00f6n\u00fc\u015f\u00fcm hakk\u0131nda kaynak yaz\u0131n\u0131n \u00f6nerileri. 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