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SINGAPORE a d HONG KONG, Oct. 30, 2026 (GLOBE NEWSWIRE) — NETCLASS TECHNOLOGY INC (Nasdaq: NTCL; the “Compa y” o “NetClass”), a B2B sma t educatio IT solutio s p ovide with offices i Sha ghai, Ho g Ko g, Si gapo e a d Tokyo, today a ou ced that its case study o multi-age t fo eig la guage educatio eceived the Outsta di g Case Awa d at the 2026 Digital Lifelo g Lea i g I te atio al Co fe e ce.
The co fe e ce was held o Octobe 16-17, 2026, at Sha ghai Ope U ive sity, co-o ga ized by Sha ghai Ope U ive sity, the UNESCO I stitute fo Lifelo g Lea i g (UIL), a d the UNESCO I stitute fo I fo matio Tech ologies i Educatio (UNESCO IITE). NetClass’s case, titled “Multi-Age t Collabo atio -D ive Fo eig La guage Teachi g Assessme t a d Pe so alized Lea i g Suppo t P actice,” was selected f om a atio wide pool of submissio s o AI-empowe ed sma t lea i g ecosystems.
The ecog ized i itiative applies multi-age t a chitectu es a d la ge la guage models (LLMs) to commo co st ai ts i co ve tio al fo eig la guage i st uctio , such as limited o al p actice, delayed g adi g feedback, a d the difficulty of co ve ti g evaluatio met ics i to tailo ed lesso pla s. Built o the Compa y’s p op ieta y AI E glish Go i st uctio system a d CEPA assessme t e gi e, the platfo m coo di ates specialized age ts to a alyze disc ete la guage compo e ts, i cludi g p o u ciatio , vocabula y, g amma , discou se st uctu e, a d p agmatic usage. To add ess commo LLM output va ia ce a d explai ability issues, the softwa e i co po ates co fide ce sco e fusio , a omaly flaggi g, dy amic outi g, a d huma i st ucto eview fo ope -e ded assig me ts like o al dialogue a d compositio .
At the co fe e ce, NetClass Deputy Ge e al Ma age , Ji g Wa g, p ese ted the case study a d pa ticipated i discussio s with academic esea che s a d i dust y pee s o p actical i teg atio methods fo AI i highe educatio .
“Receivi g this ecog itio f om p estigious i stitutio s like UNESCO IITE a d UIL validates ou co victio that multi-age t AI a chitectu es ep ese t the futu e of educatio al tech ology,” said D . Jia biao Dai, Chai ma a d Chief Executive Office of NetClass. “La guage teache s f eque tly spe d excessive hou s o outi e e o co ectio athe tha di ect i st uctio . By assig i g disc ete evaluatio tasks to specialized softwa e age ts with huma -i -the-loop co t ols, ou platfo m p ovides eliable, diag ostic feedback that faculty ca use i eal time. This awa d fuels ou st ategic ambitio to co ti uously push the bou da ies of applied AI, expa di g ou multi-age t f amewo k ac oss b oade subjects, dive se la guages, a d ew global ma kets to fu dame tally edefi e digital educatio .”
Jackso Li LLYC Email: jia .li @llyc.global








 