LINGUODIDACTIC POTENTIAL OF INSTRUCTIONAL CONTENT MODELLING IN THE PREPARATION OF FUTURE TEACHERS OF RUSSIAN LANGUAGE AND LITERATURE

This conceptual and methodological study examines instructional content modelling as a means of connecting linguistic knowledge, literary interpretation and pedagogical decision-making in pre-service Russian language and literature teacher education. Rather than treating a model as a simplified diagram, the article conceptualises modelling as a cycle of selection, representation, transformation, classroom enactment and reflective validation. A structured integrative synthesis of foundational scholarship in educational modelling, pedagogical content knowledge, multimodal learning, genre pedagogy and disciplinary literacy informs a proposed design framework. Ten analytical matrices operationalise modelling decisions across linguistic levels, literary texts, assessment and inclusive classroom practice. Four visualisations present transparent conceptual relationships and illustrative design scenarios; they are not measurements of participants or intervention effects. The analysis suggests that modelling can make abstract language structures teachable, expose the interpretive choices embedded in literary analysis, and support prospective teachers in adapting explanations to learner needs. These claims remain theoretical and require empirical validation through classroom observations, rubric-based assessment and comparative designs. The article offers a practical design protocol for university methods courses and a research agenda for testing its effectiveness.

Authors

Institutions

Publication Details

Journal
Acta Innovations
Published
2026-10-26
DOI
https://doi.org/10.62441/actainnovations.vi.2366
Primary Topic
Education Methods and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LINGUODIDACTIC POTENTIAL OF INSTRUCTIONAL CONTENT MODELLING IN THE PREPARATION OF FUTURE TEACHERS OF RUSSIAN LANGUAGE AND LITERATURE

Ainur Alibekovna Bizhanova, M. E. Toyganbekova, Gulzhaina S. Kuandykova, Zhanna S. Nurzhanova
Acta Innovations
Education Methods and Technologies
article

LINGUODIDACTIC POTENTIAL OF INSTRUCTIONAL CONTENT MODELLING IN THE PREPARATION OF FUTURE TEACHERS OF RUSSIAN LANGUAGE AND LITERATURE

Ainur Alibekovna Bizhanova, M. E. Toyganbekova, Gulzhaina S. Kuandykova, Zhanna S. Nurzhanova
article en

Abstract

This conceptual and methodological study examines instructional content modelling as a means of connecting linguistic knowledge, literary interpretation and pedagogical decision-making in pre-service Russian language and literature teacher education. Rather than treating a model as a simplified diagram, the article conceptualises modelling as a cycle of selection, representation, transformation, classroom enactment and reflective validation. A structured integrative synthesis of foundational scholarship in educational modelling, pedagogical content knowledge, multimodal learning, genre pedagogy and disciplinary literacy informs a proposed design framework. Ten analytical matrices operationalise modelling decisions across linguistic levels, literary texts, assessment and inclusive classroom practice. Four visualisations present transparent conceptual relationships and illustrative design scenarios; they are not measurements of participants or intervention effects. The analysis suggests that modelling can make abstract language structures teachable, expose the interpretive choices embedded in literary analysis, and support prospective teachers in adapting explanations to learner needs. These claims remain theoretical and require empirical validation through classroom observations, rubric-based assessment and comparative designs. The article offers a practical design protocol for university methods courses and a research agenda for testing its effectiveness.

Acta InnovationsVol. 63(3s)
Al-Farabi Kazakh National University (KZ), Aktobe Regional State University named after K.Zhubanov (KZ), Abai Kazakh National Pedagogical University (KZ)
Openalex Percentile: Top 3%
Education Methods and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon