Innovative Language Learning Method Using Graphic Neuro-Roman
A lecturer from MIPT has introduced an innovative approach to learning foreign languages — the graphic neuro-roman, which replaces traditional texts and exercises.
The method was tested during the academic year with unexpected results.
“The goal of the research was to identify effective strategies for integrating the graphic neuro-roman into foreign language reading instruction, enhancing students' receptive language skills and motivation,” said Associate Professor Konstantin Blokhin.
As digital technologies evolve, students' interest in lengthy texts is declining. Psychologist Natalia Smetannikova and educator Mark Prensky highlight this trend.
To boost motivation, teachers employ interactive methods that engage students through dialogue and multimedia materials. Artificial intelligence opens new possibilities for this approach.
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Neural networks help create texts, images, and even virtual interlocutors. Many educators are already using models like Qwen, DeepSeek, ChatGPT, and Claude for various tasks.
The potential of neural networks in foreign language education necessitates the development of new methodologies. Blokhin's research focuses on creating the graphic neuro-roman as a tool for enhancing reading skills.
The graphic neuro-roman features a nonlinear structure and includes text, graphics, and audio, all unified by a task and generated by AI based on the curriculum.
“Neural networks allow educators to create storylines where students influence the plot and interact with characters,” Blokhin added.
The methodology is based on the ADDIE model, where the analysis phase involves formulating educational tasks and selecting literary material.
The graphic neuro-roman is developed using neural networks: DeepSeek generates the script, while Qwen provides interactive features.
Working with the multimodal file combines traditional language exercises at three stages: pre-reading, while-reading, and post-reading.
The evaluation phase includes tests to assess knowledge, motivation, and student engagement.
The experiment showed that the new methodology improves results and student involvement.
“The effect arises not from the mere use of neural networks but from their methodical integration into the educational process,” concluded Blokhin.
The Department of Foreign Languages at MIPT was established in 1947 to train specialists proficient in at least two foreign languages.
