{"id":667,"date":"2026-08-08T10:47:18","date_gmt":"2026-08-08T13:47:18","guid":{"rendered":"https:\/\/myozden.info\/?p=667"},"modified":"2026-08-08T10:49:59","modified_gmt":"2026-08-08T13:49:59","slug":"ogrenme-kuramlari-ve-pbi-algi-oncelikli-yaklasim-cercevesi","status":"publish","type":"post","link":"https:\/\/myozden.info\/index.php\/2026\/08\/08\/ogrenme-kuramlari-ve-pbi-algi-oncelikli-yaklasim-cercevesi\/","title":{"rendered":"\u00d6\u011frenme Kuramlar\u0131 ve Perceptual Bottleneck Inventory (PBI): Alg\u0131 \u00d6ncelikli Yakla\u015f\u0131m \u00c7er\u00e7evesi"},"content":{"rendered":"\n<h5 class=\"wp-block-heading has-text-align-center\">\u00a9 2026 Prof. Dr. M. Ya\u015far \u00d6zden<\/h5>\n\n\n\n<p class=\"wp-block-paragraph\">Bu kaynak, e\u011fitim bilimlerindeki <strong>geleneksel \u00f6\u011frenme teorilerini<\/strong> sistematik bir \u015fekilde \u00f6zetleyerek bu modellerin temel dayanaklar\u0131n\u0131 kar\u015f\u0131la\u015ft\u0131rmal\u0131 olarak sunmaktad\u0131r. Metinde davran\u0131\u015f\u00e7\u0131l\u0131k, bili\u015fsel geli\u015fim ve sosyal etkile\u015fim gibi k\u00f6kl\u00fc yakla\u015f\u0131mlar incelenirken, g\u00fcncel <strong>motivasyon ve a\u011f temelli modeller<\/strong> de ele al\u0131nmaktad\u0131r. Mevcut kuramlar\u0131n aksine, <strong>PBI (Perceptual Bottleneck Inventory, Alg\u0131sal Darbo\u011faz Envanteri)<\/strong> yakla\u015f\u0131m\u0131 \u00f6\u011frenmenin \u00f6n\u00fcndeki as\u0131l engeli <strong>alg\u0131sal \u00f6nko\u015fullar\u0131n eksikli\u011fi<\/strong> olarak tan\u0131mlayarak \u00f6zg\u00fcn bir perspektif geli\u015ftirmektedir. \u00d6nerilen bu yeni \u00e7er\u00e7eve, \u00f6\u011frencinin ba\u015far\u0131s\u0131n\u0131 bellek veya motivasyondan ziyade <strong>alg\u0131sal darbo\u011fazlar\u0131n a\u015f\u0131lmas\u0131na<\/strong> ba\u011flayarak literat\u00fcrdeki \u00f6nemli bir bo\u015flu\u011fu doldurmay\u0131 hedefler. Sonu\u00e7 olarak \u00e7al\u0131\u015fma, PBI modelini mevcut teorileri tamamlayan <strong>&#8220;alg\u0131 \u00f6ncelikli bir \u00f6\u011frenme yap\u0131s\u0131&#8221;<\/strong> olarak akademik d\u00fcnyada konumland\u0131rmaktad\u0131r.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">PBI modelinin alg\u0131 \u00f6ncelikli yakla\u015f\u0131m\u0131 di\u011fer teorilerden nas\u0131l ayr\u0131\u015f\u0131yor?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">PBI (Perceptual Bottleneck Inventory) modelinin alg\u0131 \u00f6ncelikli yakla\u015f\u0131m\u0131, geleneksel \u00f6\u011frenme teorilerinden temel \u00f6\u011frenme belirleyicisi ve odak noktas\u0131 a\u00e7\u0131s\u0131ndan net bir \u015fekilde ayr\u0131\u015fmaktad\u0131r.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Bu ayr\u0131\u015fman\u0131n temel noktalar\u0131 \u015funlard\u0131r:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u00d6\u011frenmenin Temel Belirleyicisi:<\/strong> Davran\u0131\u015f\u00e7\u0131l\u0131k &#8220;peki\u015ftirmeyi&#8221;, Piaget &#8220;bili\u015fsel geli\u015fimi&#8221;, Sweller &#8220;\u00e7al\u0131\u015fma belle\u011fini&#8221; ve Keller &#8220;motivasyonu&#8221; \u00f6\u011frenmenin anahtar\u0131 olarak g\u00f6r\u00fcrken; <strong>PBI, \u00f6\u011frenmenin temel belirleyicisi olarak &#8220;alg\u0131sal darbo\u011fazlar\u0131&#8221; (Perceptual Bottlenecks) kabul eder<\/strong>.<\/li>\n\n\n\n<li><strong>\u00d6\u011frenememe Nedenine Bak\u0131\u015f:<\/strong> Di\u011fer teoriler bir kavram\u0131n \u00f6\u011frenilememesini genellikle motivasyon eksikli\u011fi, bellek kapasitesinin yetersizli\u011fi veya yanl\u0131\u015f \u00f6\u011fretim y\u00f6ntemlerine ba\u011flar. PBI ise, \u00f6\u011frenci bir kavram\u0131 \u00f6\u011frenemiyorsa bunun as\u0131l nedeninin, o kavram\u0131 olu\u015fturan <strong>temel alg\u0131sal yap\u0131n\u0131n hen\u00fcz olu\u015fmamas\u0131<\/strong> oldu\u011funu savunur.<\/li>\n\n\n\n<li><strong>Alg\u0131sal \u00d6nko\u015ful Vurgusu:<\/strong> PBI, di\u011fer kuramlar\u0131n \u00e7o\u011funda a\u00e7\u0131k\u00e7a ele al\u0131nmayan <strong>&#8220;alg\u0131sal \u00f6nko\u015fullar&#8221;<\/strong> \u00fczerine odaklan\u0131r. Bu yakla\u015f\u0131m, alg\u0131sal darbo\u011faz \u00e7\u00f6z\u00fclmeden kal\u0131c\u0131 ve kavramsal bir \u00f6\u011frenmenin ger\u00e7ekle\u015fmesinin \u00e7ok g\u00fc\u00e7 oldu\u011funu ileri s\u00fcrer.<\/li>\n\n\n\n<li><strong>Tamamlay\u0131c\u0131 \u00c7er\u00e7eve \u00d6zelli\u011fi:<\/strong> PBI kendisini mevcut teorilerin (ZPD, Bili\u015fsel Y\u00fck, ARCS vb.) bir alternatifi olarak de\u011fil, onlar\u0131 tamamlayan bir <strong>&#8220;alg\u0131 \u00f6ncelikli \u00f6\u011frenme \u00e7er\u00e7evesi&#8221; (Perception-first learning framework)<\/strong> olarak konumland\u0131r\u0131r. Bu y\u00f6n\u00fcyle, mevcut modellerin aras\u0131ndaki bo\u015flu\u011fu dolduran bir yap\u0131 sunar.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u00d6zetle PBI, \u00f6\u011frenme s\u00fcrecinde motivasyon veya bellek gibi unsurlardan \u00f6nce, bilginin zihinde yap\u0131land\u0131r\u0131lmas\u0131n\u0131 sa\u011flayan <strong>alg\u0131sal temellerin sa\u011flaml\u0131\u011f\u0131n\u0131<\/strong> sorgulayarak di\u011fer kuramlardan ayr\u0131lmaktad\u0131r.<\/p>\n\n\n<div class=\"wp-block-pdfemb-pdf-embedder-viewer\"><a href=\"https:\/\/myozden.info\/wp-content\/uploads\/2026\/08\/Perception_First_Learning.pdf\" class=\"pdfemb-viewer\" style=\"\" data-width=\"max\" data-height=\"max\" data-toolbar=\"bottom\" data-toolbar-fixed=\"off\">Perception_First_Learning<\/a><\/div>\n\n\n<h2 class=\"wp-block-heading\">PBI modeline g\u00f6re alg\u0131sal \u00f6nko\u015fullar nas\u0131l belirlenir?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">PBI modeline g\u00f6re alg\u0131sal \u00f6nko\u015fullar\u0131n belirlenmesi, \u00f6\u011frenme s\u00fcrecindeki <strong>&#8220;alg\u0131sal darbo\u011fazlar\u0131n&#8221; (Perceptual Bottlenecks)<\/strong> tespit edilmesine dayan\u0131r.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Modelin bu konudaki yakla\u015f\u0131m\u0131 \u015fu temel prensipler \u00e7er\u00e7evesinde \u015fekillenir:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Temel Alg\u0131sal Yap\u0131n\u0131n Sorgulanmas\u0131:<\/strong> PBI, bir \u00f6\u011frenci bir kavram\u0131 \u00f6\u011frenemedi\u011finde, bunun nedenini motivasyon veya bellek kapasitesinden \u00f6nce, o kavram\u0131 olu\u015fturan <strong>temel alg\u0131sal yap\u0131n\u0131n olu\u015fup olu\u015fmad\u0131\u011f\u0131nda<\/strong> arar. Dolay\u0131s\u0131yla \u00f6nko\u015fullar, bir kavram\u0131n zihinde yap\u0131land\u0131r\u0131lmas\u0131 i\u00e7in gerekli olan bu en alt d\u00fczeydeki alg\u0131sal temellerin varl\u0131\u011f\u0131na bak\u0131larak belirlenir.<\/li>\n\n\n\n<li><strong>\u00d6\u011frenememe Nedeninin Analizi:<\/strong> Alg\u0131sal \u00f6nko\u015fullar, \u00f6\u011frencinin \u00f6\u011frenme s\u00fcrecinde tak\u0131ld\u0131\u011f\u0131 noktalar\u0131n &#8220;alg\u0131sal bir eksiklikten&#8221; kaynaklan\u0131p kaynaklanmad\u0131\u011f\u0131n\u0131n incelenmesiyle ortaya \u00e7\u0131kar\u0131l\u0131r. Model, bu darbo\u011fazlar \u00e7\u00f6z\u00fclmeden kal\u0131c\u0131 bir kavramsal \u00f6\u011frenmenin ger\u00e7ekle\u015femeyece\u011fini savunur.<\/li>\n\n\n\n<li><strong>Eksik Alanlara Odaklanma:<\/strong> Di\u011fer \u00f6\u011frenme kuramlar\u0131n\u0131n (\u00f6rne\u011fin Bili\u015fsel Y\u00fck veya ZPD) aksine PBI, bu kuramlarda a\u00e7\u0131k\u00e7a ele al\u0131nmayan ve \u00f6\u011frenmenin \u00f6n ko\u015fulu olan <strong>alg\u0131sal s\u00fcre\u00e7leri<\/strong> merkeze al\u0131r.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Kaynaklar, PBI&#8217;nin bir <strong>&#8220;Envanter&#8221; (Perceptual Bottleneck Inventory)<\/strong> oldu\u011funu belirtmekle birlikte, bu \u00f6nko\u015fullar\u0131n hangi spesifik \u00f6l\u00e7me ara\u00e7lar\u0131 veya test y\u00f6ntemleriyle (teknik olarak nas\u0131l) belirlendi\u011fine dair detayl\u0131 bir uygulama ad\u0131m\u0131 sunmamaktad\u0131r. Ancak temel mant\u0131k, \u00f6\u011frenmenin \u00f6n\u00fcndeki &#8220;alg\u0131sal engellerin&#8221; bir envanter mant\u0131\u011f\u0131yla taranmas\u0131 \u00fczerinedir,.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Alg\u0131sal darbo\u011fazlar \u00f6\u011frenme s\u00fcrecinde ne gibi sorunlar yarat\u0131r?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">PBI modeline g\u00f6re, <strong>alg\u0131sal darbo\u011fazlar (Perceptual Bottlenecks)<\/strong> \u00f6\u011frenme s\u00fcrecinde temel bir engel te\u015fkil ederek \u015fu gibi sorunlara yol a\u00e7ar:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Kavramsal \u00d6\u011frenmenin Ger\u00e7ekle\u015fememesi:<\/strong> \u00d6\u011frenci bir kavram\u0131 \u00f6\u011frenmekte zorlan\u0131yorsa, bunun temel nedeni genellikle motivasyon eksikli\u011fi veya bellek kapasitesi de\u011fil, o kavram\u0131 zihinde yap\u0131land\u0131racak <strong>temel alg\u0131sal yap\u0131n\u0131n hen\u00fcz olu\u015fmam\u0131\u015f olmas\u0131d\u0131r<\/strong>.<\/li>\n\n\n\n<li><strong>Kal\u0131c\u0131 \u00d6\u011frenmenin \u00d6nlenmesi:<\/strong> Alg\u0131sal darbo\u011fazlar \u00e7\u00f6z\u00fclmedi\u011fi takdirde, \u00f6\u011frenci bilgiyi k\u0131sa s\u00fcreli\u011fine alsa bile <strong>kal\u0131c\u0131 ve ger\u00e7ek anlamda kavramsal bir \u00f6\u011frenmenin ger\u00e7ekle\u015fmesi g\u00fc\u00e7le\u015fir<\/strong>.<\/li>\n\n\n\n<li><strong>Di\u011fer Destekleyici Unsurlar\u0131n Etkisiz Kalmas\u0131:<\/strong> Motivasyonel stratejiler (ARCS gibi), \u00f6\u011fretim y\u00f6ntemleri veya sosyal destek (ZPD gibi) ne kadar g\u00fc\u00e7l\u00fc olursa olsun, <strong>alg\u0131sal \u00f6nko\u015fullar sa\u011flanmad\u0131\u011f\u0131 s\u00fcrece<\/strong> bu y\u00f6ntemlerin etkisi s\u0131n\u0131rl\u0131 kalmaktad\u0131r,.<\/li>\n\n\n\n<li><strong>\u00d6\u011frenme S\u00fcrecinde &#8220;T\u0131kanma&#8221; Noktalar\u0131 Olu\u015fturmas\u0131:<\/strong> PBI, bu darbo\u011fazlar\u0131 \u00f6\u011frenmenin \u00f6n\u00fcndeki as\u0131l belirleyici olarak g\u00f6r\u00fcr. Bu darbo\u011fazlar a\u015f\u0131lmadan, \u00f6\u011frencinin bili\u015fsel geli\u015fimi veya bilgiyi yap\u0131land\u0131rmas\u0131 beklenen d\u00fczeyde ilerleyemez.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u00d6zetle, alg\u0131sal darbo\u011fazlar \u00f6\u011frencinin bilgiyi zihninde do\u011fru bir \u015fekilde i\u015fleyip yap\u0131land\u0131rmas\u0131n\u0131 engelleyen bir t\u00fcr <strong>&#8220;temel altyap\u0131 eksikli\u011fi&#8221;<\/strong> yaratarak, di\u011fer t\u00fcm pedagojik m\u00fcdahalelerin verimini d\u00fc\u015f\u00fcr\u00fcr,.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Alg\u0131sal darbo\u011fazlar\u0131 a\u015fmak i\u00e7in ne t\u00fcr stratejiler kullan\u0131labilir?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">PBI (Perceptual Bottleneck Inventory) modeli alg\u0131sal darbo\u011fazlar\u0131 a\u015fmak i\u00e7in sundu\u011fu stratejileri do\u011frudan bir &#8220;nas\u0131l yap\u0131l\u0131r&#8221; listesi olarak sunmasa da, bu darbo\u011fazlar\u0131 gidermek i\u00e7in \u00f6nerdi\u011fi <strong>temel yakla\u015f\u0131m\u0131 ve stratejik \u00e7er\u00e7eveyi<\/strong> \u015fu \u015fekilde \u00f6zetlemektedir:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Alg\u0131 \u00d6ncelikli Yakla\u015f\u0131m\u0131 (Perception-first) Benimsemek:<\/strong> En temel strateji, \u00f6\u011fretim s\u00fcrecini <strong>&#8220;alg\u0131 \u00f6ncelikli \u00f6\u011frenme \u00e7er\u00e7evesi&#8221;<\/strong> (Perception-first learning framework) \u00fczerine in\u015fa etmektir. Bu, \u00f6\u011frencinin bir kavram\u0131 \u00f6\u011frenememesi durumunda motivasyon veya \u00f6\u011fretim tekni\u011finden \u00f6nce, o kavram\u0131n temelindeki alg\u0131sal yap\u0131n\u0131n kurulup kurulmad\u0131\u011f\u0131n\u0131 kontrol etmeyi gerektirir.<\/li>\n\n\n\n<li><strong>Alg\u0131sal \u00d6nko\u015fullar\u0131n Sa\u011flanmas\u0131:<\/strong> Darbo\u011fazlar\u0131 a\u015fmak i\u00e7in, \u00f6\u011frencinin bili\u015fsel geli\u015fimine veya sosyal deste\u011fe odaklanmadan \u00f6nce <strong>&#8220;alg\u0131sal \u00f6nko\u015fullar\u0131n&#8221;<\/strong> eksiksiz oldu\u011fundan emin olunmal\u0131d\u0131r. Kaynaklara g\u00f6re, bu alg\u0131sal temeller at\u0131lmadan sunulan di\u011fer destekler (ZPD, motivasyonel stratejiler vb.) kal\u0131c\u0131 bir \u00f6\u011frenme sa\u011flamada yetersiz kalabilir.<\/li>\n\n\n\n<li><strong>Envanter Mant\u0131\u011f\u0131 ile Tespit ve M\u00fcdahale:<\/strong> Modelin ismindeki &#8220;Inventory&#8221; (Envanter) ifadesi, stratejik olarak \u00f6\u011frencinin kar\u015f\u0131la\u015ft\u0131\u011f\u0131 engellerin sistemli bir \u015fekilde taranmas\u0131n\u0131 ve hangi spesifik <strong>alg\u0131sal yap\u0131n\u0131n<\/strong> eksik oldu\u011funun belirlenmesini \u00f6nerir.<\/li>\n\n\n\n<li><strong>Tamamlay\u0131c\u0131 Bir \u00c7er\u00e7eve Olarak Di\u011fer Kuramlarla B\u00fct\u00fcnle\u015fme:<\/strong> PBI, di\u011fer kuramlar\u0131n alternatifi de\u011fil tamamlay\u0131c\u0131s\u0131d\u0131r. Bu nedenle strateji; <strong>alg\u0131sal darbo\u011faz\u0131 \u00e7\u00f6zd\u00fckten sonra<\/strong>, Vygotsky\u2019nin &#8220;sosyal deste\u011fini&#8221; (scaffolding), Sweller\u2019\u0131n &#8220;bili\u015fsel y\u00fck&#8221; prensiplerini veya Keller\u2019\u0131n &#8220;motivasyon&#8221; modellerini devreye sokmak \u00fczerine kuruludur.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u00d6zetle, PBI&#8217;ye g\u00f6re darbo\u011fazlar\u0131 a\u015fman\u0131n yolu, pedagojik m\u00fcdahalede \u00f6nceli\u011fi <strong>bilginin zihinde yap\u0131land\u0131r\u0131lmas\u0131n\u0131 sa\u011flayan temel alg\u0131sal algoritmalar\u0131n veya yap\u0131lar\u0131n olu\u015fturulmas\u0131na<\/strong> vermektir.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">PBIM \u00d6rnek uygulama<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">PBI i\u00e7in \u00f6rnek alan olarak \u0130lk\u00f6\u011fretim matematik alan\u0131 se\u00e7ildi ve T\u00fcrkiye Y\u00fczy\u0131l\u0131 Maarif Modeli 4,5 ve 6. S\u0131n\u0131flarda yer \u00f6\u011frenme \u00e7\u0131kt\u0131lar\u0131na y\u00f6nelik olarak \u00f6rnek bir site \u00f6\u011fretmenlerin kullan\u0131m\u0131na a\u00e7\u0131ld\u0131.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pbim.info\">https:\/\/pbim.info<\/a>&nbsp; adresinden bu siteye eri\u015filebilmektedir.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"624\" height=\"335\" src=\"https:\/\/myozden.info\/wp-content\/uploads\/2026\/08\/image-2.jpg\" alt=\"\" class=\"wp-image-670\" srcset=\"https:\/\/myozden.info\/wp-content\/uploads\/2026\/08\/image-2.jpg 624w, https:\/\/myozden.info\/wp-content\/uploads\/2026\/08\/image-2-300x161.jpg 300w\" sizes=\"auto, (max-width: 624px) 100vw, 624px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">PBIM modelinin matematik d\u0131\u015f\u0131ndaki alanlarda kullan\u0131m\u0131 m\u00fcmk\u00fcn m\u00fc?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">PBIM modelinin ismindeki &#8220;Mathematics&#8221; (Matematik) ifadesi, modelin \u00f6ncelikle bu alan i\u00e7in geli\u015ftirildi\u011fini g\u00f6sterse de, kaynaklardaki kuramsal a\u00e7\u0131klamalar bu yakla\u015f\u0131m\u0131n <strong>di\u011fer alanlara da uyarlanabilece\u011fine dair g\u00fc\u00e7l\u00fc i\u015faretler sunmaktad\u0131r.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Modelin matematik d\u0131\u015f\u0131ndaki alanlarda kullan\u0131m\u0131yla ilgili \u00e7\u0131kar\u0131mlar \u015funlard\u0131r:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Genel Bir \u00d6\u011frenme \u00c7er\u00e7evesi Olmas\u0131:<\/strong> Kaynaklar PBIM&#8217;i sadece bir matematik arac\u0131 olarak de\u011fil, <strong>&#8220;Perception-first learning framework&#8221; (Alg\u0131 \u00f6ncelikli \u00f6\u011frenme \u00e7er\u00e7evesi)<\/strong> olarak tan\u0131mlamaktad\u0131r. Bu tan\u0131m, yakla\u015f\u0131m\u0131n herhangi bir konudaki \u00f6\u011frenme s\u00fcrecine uygulanabilecek genel bir pedagojik bak\u0131\u015f a\u00e7\u0131s\u0131 oldu\u011funu g\u00f6stermektedir.<\/li>\n\n\n\n<li><strong>&#8220;Kavram&#8221; Odakl\u0131 Yakla\u015f\u0131m:<\/strong> Modelin temel iddias\u0131, bir \u00f6\u011frencinin <strong>&#8220;bir kavram\u0131&#8221;<\/strong> \u00f6\u011frenememesinin nedeninin o kavrama ait alg\u0131sal yap\u0131n\u0131n olu\u015fmamas\u0131 oldu\u011fudur. Buradaki &#8220;kavram&#8221; ifadesi matematik ile s\u0131n\u0131rl\u0131 olmay\u0131p, alg\u0131sal \u00f6nko\u015ful gerektiren fen bilimleri, dil \u00f6\u011frenimi veya di\u011fer disiplinlerdeki kavramlar\u0131 da kapsayacak niteliktedir.<\/li>\n\n\n\n<li><strong>Di\u011fer Genel Teorilerle \u0130li\u015fkisi:<\/strong> PBIM, Bili\u015fsel Y\u00fck Kuram\u0131, ZPD (Yak\u0131nsal Geli\u015fim Alan\u0131) ve ARCS Motivasyon Modeli gibi t\u00fcm disiplinlerde kullan\u0131lan genel \u00f6\u011frenme kuramlar\u0131n\u0131 tamamlayan bir yap\u0131 olarak konumland\u0131r\u0131lmaktad\u0131r. Bu kuramlar\u0131n \u00e7o\u011funda eksik olan <strong>&#8220;alg\u0131sal \u00f6nko\u015fullar&#8221;<\/strong> bo\u015flu\u011funu doldurdu\u011fu ifade edilmektedir.<\/li>\n\n\n\n<li><strong>Alg\u0131sal Darbo\u011faz Kavram\u0131n\u0131n Evrenselli\u011fi:<\/strong> Alg\u0131sal darbo\u011fazlar, bilginin zihinde yap\u0131land\u0131r\u0131lmas\u0131n\u0131 engelleyen temel bariyerlerdir. Bu bariyerler matematiksel sembollerde olabilece\u011fi gibi, ba\u015fka bir disiplindeki karma\u015f\u0131k g\u00f6rsel veya mant\u0131ksal yap\u0131lar\u0131n alg\u0131lanmas\u0131nda da ortaya \u00e7\u0131kabilir.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Sonu\u00e7 olarak, mevcut kaynaklar modelin teknik uygulamas\u0131n\u0131n matematik \u00fczerinden \u00f6rneklendirildi\u011fini g\u00f6sterse de, sundu\u011fu <strong>&#8220;alg\u0131 \u00f6ncelikli&#8221; mant\u0131\u011f\u0131n<\/strong> kavramsal d\u00fczeyde \u00f6\u011frenme ger\u00e7ekle\u015fen her t\u00fcrl\u00fc alana uygulanabilir bir potansiyele sahip oldu\u011funu vurgulamaktad\u0131r.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00a9 2026 Prof. Dr. M. Ya\u015far \u00d6zden Bu kaynak, e\u011fitim bilimlerindeki geleneksel \u00f6\u011frenme teorilerini sistematik bir \u015fekilde \u00f6zetleyerek bu modellerin temel dayanaklar\u0131n\u0131 kar\u015f\u0131la\u015ft\u0131rmal\u0131 olarak sunmaktad\u0131r. Metinde davran\u0131\u015f\u00e7\u0131l\u0131k, bili\u015fsel geli\u015fim ve sosyal etkile\u015fim gibi k\u00f6kl\u00fc yakla\u015f\u0131mlar incelenirken, g\u00fcncel motivasyon ve a\u011f temelli modeller de ele al\u0131nmaktad\u0131r. Mevcut kuramlar\u0131n aksine, PBI (Perceptual Bottleneck Inventory, Alg\u0131sal Darbo\u011faz Envanteri) yakla\u015f\u0131m\u0131 \u00f6\u011frenmenin \u00f6n\u00fcndeki as\u0131l engeli alg\u0131sal \u00f6nko\u015fullar\u0131n eksikli\u011fi olarak tan\u0131mlayarak \u00f6zg\u00fcn bir perspektif geli\u015ftirmektedir. \u00d6nerilen bu yeni \u00e7er\u00e7eve, \u00f6\u011frencinin ba\u015far\u0131s\u0131n\u0131 bellek veya motivasyondan ziyade alg\u0131sal darbo\u011fazlar\u0131n a\u015f\u0131lmas\u0131na ba\u011flayarak literat\u00fcrdeki \u00f6nemli bir bo\u015flu\u011fu doldurmay\u0131 hedefler. Sonu\u00e7 olarak \u00e7al\u0131\u015fma, PBI modelini mevcut teorileri tamamlayan &#8220;alg\u0131 \u00f6ncelikli bir \u00f6\u011frenme yap\u0131s\u0131&#8221; olarak akademik d\u00fcnyada konumland\u0131rmaktad\u0131r. PBI modelinin alg\u0131 \u00f6ncelikli yakla\u015f\u0131m\u0131 di\u011fer teorilerden nas\u0131l ayr\u0131\u015f\u0131yor? PBI (Perceptual Bottleneck Inventory) modelinin alg\u0131 \u00f6ncelikli yakla\u015f\u0131m\u0131, geleneksel \u00f6\u011frenme teorilerinden temel \u00f6\u011frenme belirleyicisi ve odak noktas\u0131 a\u00e7\u0131s\u0131ndan net bir \u015fekilde ayr\u0131\u015fmaktad\u0131r. Bu ayr\u0131\u015fman\u0131n temel noktalar\u0131 \u015funlard\u0131r: \u00d6zetle PBI, \u00f6\u011frenme s\u00fcrecinde motivasyon veya bellek gibi unsurlardan \u00f6nce, bilginin zihinde yap\u0131land\u0131r\u0131lmas\u0131n\u0131 sa\u011flayan alg\u0131sal temellerin sa\u011flaml\u0131\u011f\u0131n\u0131 sorgulayarak di\u011fer kuramlardan ayr\u0131lmaktad\u0131r. PBI modeline g\u00f6re alg\u0131sal \u00f6nko\u015fullar nas\u0131l belirlenir? PBI modeline g\u00f6re alg\u0131sal \u00f6nko\u015fullar\u0131n belirlenmesi, \u00f6\u011frenme s\u00fcrecindeki &#8220;alg\u0131sal darbo\u011fazlar\u0131n&#8221; (Perceptual Bottlenecks) tespit edilmesine dayan\u0131r. Modelin bu konudaki yakla\u015f\u0131m\u0131 \u015fu temel prensipler \u00e7er\u00e7evesinde \u015fekillenir: Kaynaklar, PBI&#8217;nin bir &#8220;Envanter&#8221; (Perceptual Bottleneck Inventory) oldu\u011funu belirtmekle birlikte, bu \u00f6nko\u015fullar\u0131n hangi spesifik \u00f6l\u00e7me ara\u00e7lar\u0131 veya test y\u00f6ntemleriyle (teknik olarak nas\u0131l) belirlendi\u011fine dair detayl\u0131 bir uygulama ad\u0131m\u0131 sunmamaktad\u0131r. Ancak temel mant\u0131k, \u00f6\u011frenmenin \u00f6n\u00fcndeki &#8220;alg\u0131sal engellerin&#8221; bir envanter mant\u0131\u011f\u0131yla taranmas\u0131 \u00fczerinedir,. Alg\u0131sal darbo\u011fazlar \u00f6\u011frenme s\u00fcrecinde ne gibi sorunlar yarat\u0131r? PBI modeline g\u00f6re, alg\u0131sal darbo\u011fazlar (Perceptual Bottlenecks) \u00f6\u011frenme s\u00fcrecinde temel bir engel te\u015fkil ederek \u015fu gibi sorunlara yol a\u00e7ar: \u00d6zetle, alg\u0131sal darbo\u011fazlar \u00f6\u011frencinin bilgiyi zihninde do\u011fru bir \u015fekilde i\u015fleyip yap\u0131land\u0131rmas\u0131n\u0131 engelleyen bir t\u00fcr &#8220;temel altyap\u0131 eksikli\u011fi&#8221; yaratarak, di\u011fer t\u00fcm pedagojik m\u00fcdahalelerin verimini d\u00fc\u015f\u00fcr\u00fcr,. Alg\u0131sal darbo\u011fazlar\u0131 a\u015fmak i\u00e7in ne t\u00fcr stratejiler kullan\u0131labilir? PBI (Perceptual Bottleneck Inventory) modeli alg\u0131sal darbo\u011fazlar\u0131 a\u015fmak i\u00e7in sundu\u011fu stratejileri do\u011frudan bir &#8220;nas\u0131l yap\u0131l\u0131r&#8221; listesi olarak sunmasa da, bu darbo\u011fazlar\u0131 gidermek i\u00e7in \u00f6nerdi\u011fi temel yakla\u015f\u0131m\u0131 ve stratejik \u00e7er\u00e7eveyi \u015fu \u015fekilde \u00f6zetlemektedir: \u00d6zetle, PBI&#8217;ye g\u00f6re darbo\u011fazlar\u0131 a\u015fman\u0131n yolu, pedagojik m\u00fcdahalede \u00f6nceli\u011fi bilginin zihinde yap\u0131land\u0131r\u0131lmas\u0131n\u0131 sa\u011flayan temel alg\u0131sal algoritmalar\u0131n veya yap\u0131lar\u0131n olu\u015fturulmas\u0131na vermektir. PBIM \u00d6rnek uygulama PBI i\u00e7in \u00f6rnek alan olarak \u0130lk\u00f6\u011fretim matematik alan\u0131 se\u00e7ildi ve T\u00fcrkiye Y\u00fczy\u0131l\u0131 Maarif Modeli 4,5 ve 6. S\u0131n\u0131flarda yer \u00f6\u011frenme \u00e7\u0131kt\u0131lar\u0131na y\u00f6nelik olarak \u00f6rnek bir site \u00f6\u011fretmenlerin kullan\u0131m\u0131na a\u00e7\u0131ld\u0131. https:\/\/pbim.info&nbsp; adresinden bu siteye eri\u015filebilmektedir. PBIM modelinin matematik d\u0131\u015f\u0131ndaki alanlarda kullan\u0131m\u0131 m\u00fcmk\u00fcn m\u00fc? PBIM modelinin ismindeki &#8220;Mathematics&#8221; (Matematik) ifadesi, modelin \u00f6ncelikle bu alan i\u00e7in geli\u015ftirildi\u011fini g\u00f6sterse de, kaynaklardaki kuramsal a\u00e7\u0131klamalar bu yakla\u015f\u0131m\u0131n di\u011fer alanlara da uyarlanabilece\u011fine dair g\u00fc\u00e7l\u00fc i\u015faretler sunmaktad\u0131r. Modelin matematik d\u0131\u015f\u0131ndaki alanlarda kullan\u0131m\u0131yla ilgili \u00e7\u0131kar\u0131mlar \u015funlard\u0131r: Sonu\u00e7 olarak, mevcut kaynaklar modelin teknik uygulamas\u0131n\u0131n matematik \u00fczerinden \u00f6rneklendirildi\u011fini g\u00f6sterse de, sundu\u011fu &#8220;alg\u0131 \u00f6ncelikli&#8221; mant\u0131\u011f\u0131n kavramsal d\u00fczeyde \u00f6\u011frenme ger\u00e7ekle\u015fen her t\u00fcrl\u00fc alana uygulanabilir bir potansiyele sahip oldu\u011funu vurgulamaktad\u0131r.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,4],"tags":[101,51,102,28,100,43],"class_list":["post-667","post","type-post","status-publish","format-standard","hentry","category-genel-duyurular","category-guncel","tag-algisal-darbogaz-envanteri","tag-egitim-ve-arastirmada-uretken-yapay-zeka-2","tag-ilkogretim-matematik-algisal-darbogaz-envanteri","tag-perception","tag-perceptual-bottleneck-inventory","tag-yapay-zeka-araclari"],"acf":[],"_links":{"self":[{"href":"https:\/\/myozden.info\/index.php\/wp-json\/wp\/v2\/posts\/667","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/myozden.info\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/myozden.info\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/myozden.info\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/myozden.info\/index.php\/wp-json\/wp\/v2\/comments?post=667"}],"version-history":[{"count":5,"href":"https:\/\/myozden.info\/index.php\/wp-json\/wp\/v2\/posts\/667\/revisions"}],"predecessor-version":[{"id":677,"href":"https:\/\/myozden.info\/index.php\/wp-json\/wp\/v2\/posts\/667\/revisions\/677"}],"wp:attachment":[{"href":"https:\/\/myozden.info\/index.php\/wp-json\/wp\/v2\/media?parent=667"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/myozden.info\/index.php\/wp-json\/wp\/v2\/categories?post=667"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/myozden.info\/index.php\/wp-json\/wp\/v2\/tags?post=667"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}