The main goal of the course is to develop students’ professional methodological and information‑communication competencies, as well as to build their practical skills in designing components of an intelligent learning environment for foreign language education.
After completing the course, students will:
• know the basic principles of AI algorithms used in foreign language teaching: response classification, semantic analysis, natural language processing (NLP) for analysis and generation of natural speech, morphosemantic speech analysis, reinforcement learning; features of the architecture of pre‑trained language models (BERT), generative pre‑trained transformers (GPT), and Text2Image models; the structure and components of intelligent learning systems (ILS); principles of dialogue‑based learning environments (adaptive tutors) (Digital Twin of a Teacher, Mondly, AutoTutor, Watson Tutor); principles of pedagogical course modelling using machine learning methods; how to avoid communication breakdowns during dialogue with AI; at which level of language proficiency it is appropriate to implement chatbots for learning, etc.
• be able to assess the didactic potential of AI technologies; analyze a learner’s digital footprint; create terminological rubrics related to educational outcomes; analyze learning analytics; design tasks for developing oral and written language skills using generative chatbots; compile a hierarchical list of terms to describe a programme based on a taxonomy; formulate didactic prompts for AI to generate problem‑oriented tasks, etc.
Course participants will also gain practical experience working with learning analytics data, corpus data, intelligent tutoring systems, and generative transformers for task design.
The course programme includes 18 sessions: 9 lectures and 9 seminars.
To successfully complete the course, students are expected to have knowledge in informatics, foreign language teaching methodology, pedagogy, and in the areas of assessment and evaluation in language education.
Teachers:
Svetlana V. Titova
Education
Theoretical and applied linguistics
MSU
Areas of Expertise
Natural language processing
Занятия проводятся на факультете иностранных языков и регионоведения МГУ им. М. В. Ломоносова
В программе курса 18 занятий: 9 лекций и 9 семинаров
Формат проведения: офлайн
Старт курса: 15 сентября 2023
Занятия будут проходить 1 раз в неделю по пятницам
Набор на курс 2023 года закрыт
FRIDAYS
09:00–10:30 — period 1
10:40–12:10 — period 2
12:10–13.00 — break
13:00–14:30 — period 3
14:40–16:10 — period 4
Instructor: A. Ganichev
THURSDAYS
09:00–10:30 — period 1
10:40–12:10 — period 2
12:10–13.00 — break
13:00–14:30 — period 3
14:40–16:10 — period 4
Instructor: A. Marakulin
MONDAYS
09:00–10:30 — period 1
10:40–12:10 — period 2
12:10–13.00 — break
13:00–14:30 — period 3
14:40–16:10 — period 4
Instructor: D. Penzar
SATURDAYS
09:00–10:30 — period 1
10:40–12:10 — period 2
12:10–13.00 — break
13:00–14:30 — period 3
14:40–16:10 — period 4
Instructor: I. Konyushok