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Osvrt na intervju Nevena Budaka u Večernjem listu od 10. siječnja 2015.

          
 
Poznato je u eksperimentalnoj znanosti (fizici, kemiji,...) da postojanje sustavne pogrješke, a koja je imanentna samoj metodi mjerenja, onemogućava dobivanje rezultata točnijeg od reda veličine te sustavne pogrješke. Zato su u egzaktnim znanostima odavno shvatili da se sustavna pogrješka može izbjeći samo promjenom metode mjerenja. Primijenimo li ovu logiku na dio društvenih istraživanja, posebno na istraživanja u sustavu naobrazbe, brzo ćemo uočiti da je ta sustavna pogreška ugrađena u samu metodu istraživanja, čak štoviše, uključena je i što je posebno pogubno, u izbor ljudi koji provode ta istraživanja.
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
U osobama Nevena Budaka, profesora s Filozofskog fakulteta, i mladog Borisa Jokića, djelatnika Instituta za društvena istraživanja, uviđamo taj problem. To su osobe koje u istraživanju kvalitete sustava naobrazbe ne mogu izaći iz svog ograničenog i skučenog ''društvenjačkog okvira''. To su osobe (i mnogi njima slični) koje do kraja, i bez ostatka ne mogu same sebi priznati da su se nametnule u pokušaju kreiranja obrazovnog sustava i da su uzrok svih nevolja u sustavu naobrazbe od Šuvarevih vremena do danas. To su osobe koje unatoč vrlo preciznim pokazateljima glede kvalitete našeg obrazovnog sustava, OECD-ovog PISA istraživanja, ne mogu sami sebi priznati da su izvan realnog vremena i prostora.
 
Posljedica je vrtnja u krugu, nesagledavanje bitnih problema u školstvu kao i načina rješavanja tih problema. Da budem konkretan: Jedan od većih problema je nepostojanje realnih i prirodnih kriterija u osnovnom-obvezatnom školstvu, a što se ogleda u činjenici da imamo 75 % odlikaša koji završavaju tu razinu obrazovanja. Oni taj problem guraju pod tepih i bulazne o nekoj devetogodišnjoj obveznoj osnovnoj školi uvodeći 'nulti razred' za dob djeteta od šest godina. Zar će se time nešto bitno postići? Osim naravno zapošljavanja hiperprodukcijski proizvedenih 'teta učiteljica' s burze rada.
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
Bulazne također, kao nekad i Stipe Šuvar, da nam gospodarstvu manjka kadrova iz strukovnog obrazovanja. Da manjka to je točno, ali taj problem je nemoguće početi rješavati ako se ne uvažavaju preporuke OECD-ovog PISA projekta kao i porazni rezultati u znanju matematike i prirodoslovlja, u tom istom istraživanju, naših 15-godišnjaka u tri navrata: 2006., 2009. i 2012. godine. A PISA test je jako važan, posebno za najbogatije države Europe, jer on daje točan pokazatelj kakva će biti ekonomija za 20 godina, jer je dokazano da je PISA test u korelaciji s bruto nacionalnim dohotkom za 20 godina. PISA testovi su globalni pokazatelj sposobnosti učenika u dobi od 15 godina, a ocjenjuju se matematika, čitalačke kompetencije i prirodne znanosti. Naglasak je na primjenjenom znanju, a ne definicijama, nabrajanjima i podjelama popularnim u hrvatskim školama.
 
Zar nije znakovito da nam je profesor Kwong WaiLeung s The Chinese University of Hong Kong,jedan od voditelja PISA projekta, na upit naših školskih 'stručnjaka' što moramo činiti, rekao: ''Naučite djecu do 15 godine dva jezika-engleski i matematiku''?  Spomenuti dvojac ne razumije da problem neodabira strukovnih zanimanja od strane završenih osnovaca, kao i neodabir  'tvrdih studija' (tehnike, prirodoslovlja, matematike…) od strane brucoša nije samo refleksija stanja u društvu, već je prvenstveno posljedica oskudnog znanja mladih iz područja koja su relevantna u PISA istraživanjima. Za ilustraciju može poslužiti činjenica da je zagrebački FER uveo po prvi puta od kada postoji repetitorij iz matematike i fizike u prvom semestru za brucoše. I sve dok spomenuta (i slična ) gospoda pišu strategije obrazovanja možemo pjevati: ''Nema nam pomoći…''
 

Miroslav Dorešić

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Srijeda, 01/04/2020

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