Winny AI i mekem AI blong edukesen we i rere blong halpem evri studen long Vanuatu

Ol gol we Vanuatu i putum blong hem wan

Vision mo mission blong Corporate Plan 2026–⁠2030 blong Ministri blong Edukesen mo Trening. Winny AI i wok blong halpem kantri blong kasem ol gol ia — wetem kantri, i no long wan narafala rod.

• Lukaotem mo edukesen blong ol smol pikinini

  Lanem tru long voes stat long ol fas toktok blong pikinini: wetem ol patna, mifala i mekem wan smat spika blong ol pikinini. Stat long fas yia blong skul, Winny AI Tutor i eksplenem samting long wan fasin we i fitim yia blong wanwan studen.

  Toktok blong dokumen mo soes blong hem

  “Early Childhood Care and Education”

  MoET Corporate Plan 2026–⁠2030, mission, pej 3 long buk / web PDF index 5 (long Inglis)

• Gudfala besik edukesen

  Winny AI Tutor i luksave ol strong saed, ol gap mo ol talen blong wanwan studen long evri sabjek mo i wok folem spid mo level blong hem — i no wetem sam studen nomo, be wetem olgeta.

  Toktok blong dokumen mo soes blong hem

  “basic education”

  MoET Corporate Plan 2026–⁠2030, mission, pej 3 long buk / web PDF index 5 (long Inglis)

• Moa janis

  Digital twin blong save i soem ol strong saed mo ol intres blong wanwan studen, mo Winny AI Tutor i givim advaes long ol filed blong stadi — wetem ol teknikol mo vokesonal rod — blong sapotem disisen blong hem wan long saed blong fiuja.

  Toktok blong dokumen mo soes blong hem

  “Expanded opportunities”

  MoET Corporate Plan 2026–⁠2030, mission, pej 3 long buk / web PDF index 5 (long Inglis)

• Ol papa mama mo ol komuniti

  Ol papa mama oli gat akaon mo jat blong olgeta wan: oli luk olsem wanem pikinini i stap go fored, ol strong saed, ol gap mo ol talen blong hem, mo oli save sapotem lanem long haos. Ol tija, papa mama mo skul oli luk sem pikja blong lanem.

  Toktok blong dokumen mo soes blong hem

  “parents and communities”

  MoET Corporate Plan 2026–⁠2030, mission, pej 3 long buk / web PDF index 5 (long Inglis)

• Wan edukesen sistem we i ansa long wok blong hem

  Ol infomesen we oli joenem tugeta long olgeta skul mo long ful sistem — ol gap long wanwan topik mo sabjek — mo wan AI advaesa blong edukesen we i ansa long ol kwestin long saed blong data long isi toktok. Sevis mo data blong ol studen oli save stap insaed long kantri.

  Toktok blong dokumen mo soes blong hem

  “accountable education system”

  MoET Corporate Plan 2026–⁠2030, mission, pej 3 long buk / web PDF index 5 (long Inglis)

Ol skul long evri ples long Vanuatu MoET Corporate Plan 2026–⁠2030, mission, pej 3 long buk; preface, pej 1 long buk

Wan tuta blong wanwan studen. Naoia long ful kantri

Longtaem finis ol saentis blong edukesen oli save rod we i moa gud blong lanem: wok wanwan wetem wan tuta. Kasem naoia, smol namba blong man nomo i save kasem — AI i openem rod ia long evri studen.

Klas olsem oltaemWetem tuta blong hem wani winim 98% blong ol fren blong hem

98%

Long avrej, wan studen we i gat tuta blong hem wan i winim 98% blong ol fren blong hem long wan klas olsem oltaem.

Bloom B. S., The 2 Sigma Problem, Educational Researcher, 1984

1.5 yia

Siks wik blong lanem wetem wan AI tuta i leftemap ol mak kasem 0.3 standard deviation — klosap wan yia mo haf blong lanem olsem oltaem.

De Simone et al., World Bank, randomized study, Nigeria, 2025

×2

Ol studen we oli gat AI tuta oli lanem moa long tu taem long smol taem nomo, i winim ol klas blong active learning.

Kestin et al., Harvard University, Scientific Reports, 2025

+1 pp

Taem ol mak blong lanem i go antap long 0.5 standard deviation, GDP blong wanwan man i gro kwik moa, klosap 1 pesen poen evri yia long longfala taem.

Hanushek & Woessmann, OECD, 2010

Ol stadi ia oli blong ol saentis we oli no wok blong mifala, long saed blong tuta (man mo AI) mo ekonomi blong edukesen. Mifala i wantem mesarem wok blong Winny AI Tutor wetem kantri — long wan paelot projek wetem indipenden evaluesen.

Bigfala prodak blong Winny AI

Winny AI Tutor — wan intenasonal sistem blong lanem

Wan AI tuta blong wanwan studen long wan jat, stat long praemari i go kasem sekondri skul — long evri sabjek blong skul, ol lanwis blong narafala kantri mo ol hobi we plante man oli laekem — wetem ol akaon we oli joen tugeta blong papa mama, tija mo skul. Studen, papa mama, tija mo skul oli luk sem pikja blong lanem.

Blong studen

• I lidim i go long save

  I no gat ansa we i rere finis: ol kwestin we oli soem rod mo ol smol halpem step bae step.

• Karikulum mo ol buk blong kantri

  Ol ansa oli folem ol karikulum mo ol buk we gavman i aprufum. Long Vanuatu, hemia i minim setap blong nasonal karikulum blong Ministri blong Edukesen mo Trening (MoET), stat long praemari i go kasem sekondri skul.

• Antap long ol lesen

  I ansa long ol had kwestin wetem gudfala tingting, long wan fasin we i fitim yia blong studen, mo i lukaotem gud ol samting we i had blong toktok long hem.

• Leftemap tingting

  I sapotem studen kwaet mo i halpem blong daonem wari mo fraet — olsem bifo long eksam.

Fon, tablet mo kompiuta — long braoser, yu no nid blong instolem samting. Voes, foto mo raeting.

Fo rol. Wan sistem

• Studen

  Wan tuta blong hem wan long evri taem, wan rod blong lanem, ol gol mo ol asaenmen.

  Traem

• Papa mama

  Akaon mo jat blong olgeta wan: olsem wanem pikinini i stap go fored, ol strong saed, ol gap mo ol talen blong hem.

  Traem

• Tija

  Wan AI asistan, analitik blong klas, ol asaenmen mo ol grup. Fri, wetem bigfala limit.

  Traem

• Skul mo gavman

  Lukaotem sistem, ol infomesen we oli joenem tugeta long olgeta skul mo long ful sistem, mo putum sistem i stap insaed long kantri.

  Askem wan presentesen

Ol mein pat blong prodak oli fri oltaem. Fri blong ol tija, wetem bigfala limit.

Blong wanwan kwestin — model we i fitim gud mo stret fasin blong tijim, i no wan ansa nomo

Teknoloji we Winny AI i mekem hem wan: wan orkestreta blong ol model, wan ejen blong tijim, wan leya blong sefti mo longfala memori blong wanwan studen. Prodak i no dipen long wan AI kampani nomo.

• Orkestreta blong ol model

  Blong wanwan kwestin, hem i jusum model we i fitim gud, wetem ol nasonal model, mo i stretem fasin blong model folem sabjek, lanwis mo wok. Yu save jenisim wan model mo yu no nid blong raetem bakegen prodak.

• Ejen blong tijim

  Hem i planem wanwan ansa blong lidim studen i go long save: ol kwestin we oli soem rod mo ol smol halpem step bae step, i no wan ansa we i rere finis. Hem i stanap strong taem studen i traem blong pusum hem blong givim ansa, mo yu no save tanem fasin ia i of.

• Leya blong sefti

  Hem i jekem evri ansa long saed blong sefti blong pikinini mo se ansa i soem stret ol buk blong lanem.

• Digital twin blong studen

  Wan profael blong save mo longfala memori: Winny AI Tutor i tingbaot plante yia blong lanem — wanem samting studen i save finis, wea ol gap oli stap, wanem ol talen blong hem mo wanem gol hem i stap wok blong kasem.

• Ol graf blong save we oli joenem ol sabjek

  Ol sabjek blong skul oli joen tugeta long wan graf blong save we oli mekem long ol buk mo ol karikulum we gavman i aprufum, olsem tuta i luk ol rod we oli joenem ol topik long ol defren sabjek.

• Bloom’s taxonomy

  Wanwan topik i seraot long ol level blong save folem Bloom’s taxonomy: ol studen oli klaem long leda blong tingting, i no kolektem ol ansa we oli rere finis nomo.

Evri apdet i pas long wan saekol blong jekem kwaliti blong tijim: wan tes ben wetem ol AI studen we oli no tru mo ol skel blong kwaliti. Orkestreta mo sistem blong edukesen oli rejista olsem intelektual propeti.

Teknoloji blong ful wol. Fasin blong kantri

Winny AI Tutor i jenis blong folem kantri — i no kantri we i jenis blong folem hem.

• Karikulum mo eksam

  Setap blong nasonal karikulum mo ol buk, stat long praemari i go kasem sekondri skul; rere blong ol nasonal eksam.

• Lanwis mo kalja

  Moa long 90 lanwis, wetem Inglis, Franis mo Bislama, mo jenis blong folem kalja.

• Ol model

  Ol nasonal mo rijonal model, wetem ol open-weight model, we oli save trenem moa insaed long kantri.

• Infrastrakja

  Sevis mo data oli save stap insaed long kantri, long wan sistem we i klos.

• Klia blong luk

  Wan “glas boks”, i no wan “blak boks”: ol ofis blong gavman we oli lukaotem rul oli save jekem olsem wanem ol ansa oli kamaot mo wanem samting i stap insaed.

Stat long ol fas studen i go kasem ful kantri

Yu save stat tede: ol studen mo skul long moa long 80 kantri oli wok finis wetem Winny AI Tutor, mo evri samting we yu nidim blong stat i rere. Kantri i jusum hamas bigwan mo hamas kwik.

1. Ol fas studen mo famili

   Ol studen mo papa mama oli save stat wetem Winny AI Tutor tede: ol mein pat oli fri oltaem. Ol tija oli joen fri, wetem bigfala limit; i gat ol wokshop blong trenem ol tija.

   Traem Winny AI Tutor

2. Paelot projek

   Wan paelot long sam skul, wetem indipenden evaluesen blong wan akademik patna.

3. Setap blong kantri

   Karikulum mo eksam, lanwis, ol model, putum sistem insaed long kantri.

4. Kam bigwan long ful kantri

   Sapotem mo divelopem prodak blong edukesen sistem blong kantri.

Stat long wan tuta blong skul i go kasem wan menta blong ful laef

Mifala i mekem wan AI sistem blong edukesen blong lanem long ful laef: stat long ol fas toktok, skul mo gaed long wok, i go kasem yunivesiti, wan wok mo blong lanem moa long wok.

1. Ol fas step Mifala i mekem wetem ol patna

   Wan smat spika blong ol pikinini: lanem tru long voes stat long ol fas toktok.

2. Skul I wok tede

   Evri sabjek, stat long praemari i go kasem sekondri skul: rere blong eksam, faenem talen, gaed long wok.

   Traem Winny AI Tutor

3. Ol kolej mo yunivesiti Mifala i mekem wetem ol patna

   Go insaed long yunivesiti, jusum program mo sapot blong ol studen long ful taem blong stadi.

4. Moa edukesen Mifala i mekem wetem ol patna

   Ol hobi, ol niufala skil, lanem moa long wok mo lanem wan niufala wok — blong ol pikinini mo ol bigman.

5. Menta blong ful laef Mifala i mekem wetem ol patna

   Gro long wok mo long karia long ful laef.

Gaed long wok we i luk fored

Ol talen blong wanwan studen mo gudfala tingting blong jusum wok

Wol mo maket blong wok i jenis kwik. Winny AI Tutor i luksave ol strong saed, ol intres mo ol talen blong studen long evri sabjek mo i halpem hem blong jusum rod. Nekis step hem i blong tingbaot ol jenis long maket blong wok, ol niufala teknoloji mo ol wok blong fiuja.

• Ol talen long evri sabjek I wok tede

  Digital twin blong save i soem ol strong saed, ol gap mo ol intres blong studen long wanwan sabjek.

• Gaed long wok I wok tede

  Advaes long ol filed blong stadi folem ol strong saed mo intres blong studen — blong sapotem disisen blong hem wan long saed blong fiuja.

• Atlas blong ol wok blong fiuja Mifala i mekem wetem ol patna

  Wetem ol eksper mo yunivesiti, mifala i mekem wan atlas blong ol wok blong fiuja, olsem gaed long wok i folem ol jenis long maket blong wok mo ol niufala teknoloji.

• Neuroprofiling Mifala i mekem wetem ol patna

  Mifala i wok wetem ol eksper blong neuroprofiling blong rerem ol tes blong talen mo intres, wetem ol neural interface tu — sapos famili i wantem, mo wetem orait blong papa mama.

Blong Ministri blong Edukesen mo Trening: faenem kwik ol talen mo wan tingting long olsem wanem ol studen we oli finisim skul bambae oli jusum ol filed — data blong planem ol ples mo program long vokesonal mo haea edukesen.

Winny AI · AI-Native Enterprise

Wan niufala kaen kampani blong EdTech long ful wol

Winny AI i mekem ol AI rod blong lanem we i fitim wanwan studen, wetem stret fasin blong yusum artificial intelligence mo respek long ol nasonal standed blong edukesen.

Wan tim blong ol eksper mo plante handred AI ejen

Wetem tim blong mifala, we i stap long plante ples long wol, plante handred AI ejen oli wok: oli bildim kampani wetem mifala — olsem nao tim i save mekem plante wok.

• R&D
• Prodak
• Metodoloji
• Salem
• Lukaotem kastoma

• Teknoloji

  Man we i stat kampani i gat moa long 14 yia long SaaS mo blong mekem prodak, mo moa long 8 yia long hem long ol hae lida wok (C-level); hem i bin lidim teknoloji saed blong wan intenasonal IT sevis we i gat moa long 30 milian yusa.

• Edukesen

  Dipatmen blong metodoloji blong mifala wan; mifala i mekem metodoloji wetem ol tija mo ol eksper blong karikulum.

• Etik mo rul blong AI

  Ol eksper long loa mo rul blong AI long edukesen oli stap long tim; loa blong mifala wan blong lukaotem AI.

• Wok long ol narafala kantri

  Mifala i toktok long ol intenasonal konfrens mo raon tebol long saed blong AI long edukesen; nomini blong UNESCO Praes blong yusum ICT long edukesen.

• Lida

  Ol hed blong ol wok, wetem sam we oli gat doktoret digri, oli gat ekspiriens long ol bigfala teknoloji kampani mo ol bigfala EdTech kampani: strateji, faenans, salem, prodak, metodoloji, lukaotem kastoma.

Raon long tim — plante strateji patna long ful wol mo wok wetem ol akademik.