Reviewable Japanese Can-Do teaching paths with AI : a graph-based micro-lesson procedure

Špica, Dragana (author), Perak, Benedikt (author)

Can-Do descriptors support CEFR-aligned language education, but inventories alone do not indicate how classroom activities should be sequenced. This paper presents a procedure developed within an AI language tutor for Japanese. Teaching Can-Dos are represented by level, topic, domain, vocabulary, formulaic expressions, and grammar. Similarity measures identify related descriptors, while pedagogical constraints organize them into teacher-reviewable teaching paths. Each step generates a four-stage micro-lesson comprising content, comprehension, production, and interaction. A restaurant-ordering case, automated validation, and expert-informed reviews demonstrate the procedure’s potential for traceable, inspectable Can-Do-based lesson planning while highlighting limitations in path sequencing, content validation, and artifact management.

• Language: English
• Keywords: Japanese L2, Can-Do descriptors, CEFR, knowledge graph, learning path
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FF - Faculty of Arts
• Publication status: Published
• Publication version: Version of Record
• Year: 2026
• Number of pages: Str. 197-236
• Numbering: Vol. 16, no. 2
• PID: 20.500.12556/RUL-190495
• ISSN on article: 2232-3317
• DOI: 10.4312/ala.16.2.197-236
• Publication date in RUL: 04.11.2026

Record is a part of a journal

• Title: Acta linguistica asiatica
• Publisher: Založba Univerze v Ljubljani
• ISSN: 2232-3317
• COBISS.SI-ID: 255902464

Licences

• License: CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
• Link: http://creativecommons.org/licenses/by-sa/4.0/
• Description: This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.

Secondary language

• Language: Slovenian
• Title: Učne poti Can-Do za japonščino z umetno inteligenco : postopek mikrolekcij na osnovi grafov

Abstract

Opisniki Can-Do podpirajo jezikovno izobraževanje, usklajeno s SEJO, vendar sami ne določajo smiselnega zaporedja učnih dejavnosti. Članek predstavi postopek, razvit v okviru z umetno inteligenco podprtega učnega sistema za japonščino. Učni Can-Doji so opisani z ravnjo, temo, področjem, besediščem, ustaljenimi izrazi in slovničnimi strukturami. Mere podobnosti prepoznavajo sorodne opisnike, pedagoške omejitve pa jih organizirajo v učne poti, ki jih lahko pregleda učitelj. Vsak korak ustvari štiristopenjsko mikrolekcijo z vsebino, razumevanjem, tvorjenjem in interakcijo. Primer naročanja hrane v restavraciji, avtomatizirana validacija in strokovne evalvacije kažejo potencial pristopa za sledljivo in pregledno načrtovanje pouka, hkrati pa razkrivajo omejitve pri oblikovanju učnih poti, validaciji vsebine in upravljanju artefaktov.

• Keywords: japonščina kot drugi jezik, opisniki Can-Do, Skupni evropski jezikovni okvir, SEJO, graf znanja, učna pot