As AI boosts work, Tai­wan host­ed a chip tal­ent camp for teenagers from around the world. The camp was de­liv­ered in both Man­darin and Eng­lish to at­tract tal­ent. Syn­op­sys cu­rat­ed the camp with chip man­u­fac­tur­ers and uni­ver­si­ties in Tai­wan amid surg­ing glob­al de­mand for AI.

De­vel­op­ment in the In­tel­li­gent Age de­mands that coun­tries im­ple­ment spe­cialised ed­u­ca­tion and tech­ni­cal and vo­ca­tion­al schools tai­lored to spe­cif­ic in­dus­tries. These in­ter­ven­tions are aligned with tar­get­ed eco­nom­ic growth poles, spe­cial eco­nom­ic zones (SEZs), and re­gion­al pros­per­i­ty en­gines. Chi­na’s “in­dus­try-ed­u­ca­tion in­te­gra­tion” seeks to fos­ter growth hubs by align­ing vo­ca­tion­al train­ing with re­gion­al key in­dus­tries and emerg­ing sec­tors. Train­ing cen­tres and joint tech projects in eco­nom­ic cen­tres now fo­cus on tal­ent, tech­nol­o­gy, and in­vest­ment. The “Luban Work­shop” ini­tia­tive stands out as par­tic­u­lar­ly unique.

Named af­ter the an­cient Chi­nese crafts­man Lu Ban, these work­shops utilise ad­vanced sim­u­lat­ed in­dus­tri­al en­vi­ron­ments and the EPIP (en­gi­neer­ing, prac­tice, in­no­va­tion, project) mod­el to equip stu­dents with skills in AI, au­toma­tion, and au­to­mo­tive en­gi­neer­ing. 

In­dia is fo­cus­ing on a “Skill Upgra­da­tion Strat­e­gy” to con­nect vo­ca­tion­al schools with spe­cif­ic eco­nom­ic sec­tors to achieve its $5 tril­lion GDP tar­get.  The Na­tion­al Skill De­vel­op­ment Cor­po­ra­tion (NS­DC) us­es a Pub­lic-Pri­vate Part­ner­ship mod­el, in­volv­ing 36 Sec­tor Skill Coun­cils (SS­Cs) to de­fine in­dus­try-spe­cif­ic job roles (Qual­i­fi­ca­tion Packs) and stan­dards, en­sur­ing that vo­ca­tion­al train­ing is rel­e­vant and mar­ket-dri­ven.

Key ac­tions in­clude set­ting mea­sur­able (SMART) goals, util­is­ing on-the-job train­ing, men­tor­ing, and in­cen­tivis­ing em­ploy­ees to bridge gaps in AI, dig­i­tal, and soft skills for fu­ture-proof­ing ca­reers. 

Sin­ga­pore fa­cil­i­tates close col­lab­o­ra­tion be­tween spe­cialised train­ing in­sti­tu­tions and the pri­vate sec­tor to en­sure a job-ready work­force for its eco­nom­ic zones. The World Bank-sup­port­ed East Africa Skills for Trans­for­ma­tion and Re­gion­al In­te­gra­tion Project (EAS­TRIP) is a $293 mil­lion ini­tia­tive that aims to en­hance TVET qual­i­ty and ac­cess in Ethiopia, Kenya, and Tan­za­nia.

It fo­cus­es on 16 re­gion­al flag­ship in­sti­tutes to ad­dress skills short­ages in trans­port, en­er­gy, man­u­fac­tur­ing, ICT, and agri­cul­ture, with a fo­cus on fu­ture proof­ing the work­force. Uzbek­istan’s “One Mil­lion Pro­gram­mers” is an in­dus­try-spe­cif­ic ini­tia­tive to train a large dig­i­tal work­force, aligned with the coun­try’s na­tion­al dig­i­tal strat­e­gy. 

Thai­land 4.0 is a 20-year (2017–2036) na­tion­al strat­e­gy aimed at trans­form­ing Thai­land in­to a high-in­come, in­no­va­tion-dri­ven econ­o­my by ac­cel­er­at­ing dig­i­tal adop­tion and tech­no­log­i­cal ad­vance­ments. It fo­cus­es on shift­ing from agri­cul­ture, light in­dus­try, and heavy in­dus­try to high-val­ue ser­vices, dig­i­tal, and biotech­nol­o­gy. 

They have es­tab­lished au­tonomous uni­ver­si­ties and spe­cialised cen­tres to boost re­search, de­vel­op­ment, and in­no­va­tion in col­lab­o­ra­tion with the pri­vate sec­tor. The World Bank has part­nered with Poland to strength­en Work-Based Learn­ing (WBL) in tech­ni­cal schools. 

Cana­da’s In­dus­try-Ed­u­ca­tion In­te­gra­tion (IEI) project aims to co-con­struct stan­dards and cur­ric­u­la be­tween schools and in­dus­try. There is al­so a fo­cus on in­te­grat­ing VR and AI in­to vo­ca­tion­al cur­ric­u­la. 

In these new learn­ing con­texts, coach­es do not want par­tic­i­pants to overuse gen­er­a­tive AI to cir­cum­vent the learn­ing process. Camp coach­es used a mod­i­fied ver­sion of Bloom’s tax­on­o­my as a frame­work to de­ter­mine what types of cog­ni­tive work can be of­floaded to AI with­out com­pro­mis­ing learn­ing.

The coach­es de­sign out­comes to guide when and how AI can be ap­pro­pri­ate­ly used to sup­port stu­dent learn­ing. Fa­cil­i­ta­tors clar­i­fy AI’s role in learn­ing by first out­lin­ing how AI can sup­ple­ment learn­ing at each lev­el of Bloom’s Tax­on­o­my. They not­ed that it is un­clear which cog­ni­tive skills and knowl­edge types AI can and can­not han­dle in learn­ing con­texts.

Ef­fec­tive AI in­te­gra­tion re­quires in­sti­tu­tions to re­con­sid­er Bloom’s Tax­on­o­my. Some re­cent sug­ges­tions in­clude a com­plete in­ver­sion of the tax­on­o­my. At the Cre­ate Lev­el, learn­ers utilise prompt en­gi­neer­ing to gen­er­ate out­puts. The learn­ers then use AI to rapid­ly form opin­ions about the out­puts. They then dis­as­sem­ble the AI out­puts.  

They then at­tempt to use the new in­for­ma­tion to make changes. Af­ter ap­ply­ing new in­for­ma­tion, stu­dents demon­strate greater agency by ac­tive­ly mak­ing con­nec­tions. Fi­nal­ly, stu­dents must in­ter­nalise and re­tain the in­for­ma­tion.

In oth­er set­tings, Bloom’s Tax­on­o­my was adapt­ed to in­clude fac­tu­al, pro­ce­dur­al, con­cep­tu­al, and metacog­ni­tive di­men­sions to guide the ped­a­gog­i­cal­ly sound use of AI in learn­ing. The re­vised tax­on­o­my shows AI ca­pa­bil­i­ties at each cog­ni­tive process lev­el and knowl­edge type.

On the ver­ti­cal ax­is, the lev­els of cog­ni­tive process­es are list­ed; on the hor­i­zon­tal ax­is, the types of knowl­edge and the hu­man and AI ca­pa­bil­i­ties as­so­ci­at­ed with each cog­ni­tive lev­el and knowl­edge type are sum­marised. The re­sult­ing ma­trix is not a lin­ear one-di­men­sion­al pyra­mid of cog­ni­tive abil­i­ties. Each cell in the ma­trix out­lines what the AI can do and what the in­struc­tors and the stu­dents are ex­pect­ed to do.

At the heart of this re­vi­sion of Bloom’s Tax­on­o­my are the dif­fer­ences in how hu­mans and AI process in­for­ma­tion. Hu­man un­der­stand­ing in­volves judge­ment, re­flec­tion, draw­ing on ex­pe­ri­ence, val­ues, in­ten­tions, sub­ject mat­ter knowl­edge, self-knowl­edge, and em­pa­thy. Em­bod­ied cog­ni­tion al­lows hu­mans to de­vel­op con­cepts that res­onate with lived ex­pe­ri­ence. These are ca­pac­i­ties un­known to AI.

Dr Fazal Ali com­plet­ed his Mas­ter's in Phi­los­o­phy at the Uni­ver­si­ty of the West In­dies. He was a Com­mon­wealth Schol­ar who at­tend­ed the Uni­ver­si­ty of Cam­bridge, Hugh­es Hall, the provost of the Uni­ver­si­ty of Trinidad and To­ba­go and the act­ing pres­i­dent, and chair­man of the Teach­ing Ser­vice Com­mis­sion. He is present­ly a con­sul­tant with the IDB. He can be reached at faza­lal­itsc@gmail.com