Bachelor
2024/2025
Research Seminar "Digital Tools and Artificial Intelligence in Applied Linguistics"
Type:
Compulsory course (Foreign Languages and Intercultural Communication)
Area of studies:
Linguistics
Delivered by:
School of Foreign Languages
Where:
School of Foreign Languages
When:
2 year, 1-3 module
Mode of studies:
offline
Open to:
students of one campus
Language:
English
ECTS credits:
3
Course Syllabus
Abstract
The course will introduce students to the basics of text studies and to acquaint them with digital instruments that can be used for text analysis and text compression. Students will undertake detailed, language-focused, contextually sensitive analyses of a wide range of texts – spoken, written and multimodal. Students will learn how digital tools and artificial intelligence can assist their research endeavours and help them describe research backgrounds and outcomes in line with the requirements of academic discourse.
Learning Objectives
- •familiarize students with fundamental concepts and methodologies in text studies;
- • explore different types of texts, including spoken, written, and multimodal;
- • guide students in describing research backgrounds and outcomes following academic discourse standards;
- • emphasize the importance of clear, concise, and coherent presentation of research findings;
- • equip students with the skills necessary to conduct independent research using digital tools;
- • support students in developing their research projects from inception to completion, using digital instruments effectively.
Expected Learning Outcomes
- utilize AI tools to tailor texts for specific target audiences
- identify the basic principles, concepts and methods used to analyze text structure, meaning, and discourse patterns
- utilize AI tools to perform tasks of basic text analysis and linguistic analysis
- evaluate the differences between conventional methods and AI-driven approaches
- examine and use text analysis across various linguistic levels including phonological, morphological, syntactic, semantic, and pragmatic dimensions
- evaluate different text metrics using AI for various purposes
- compose academic texts in various styles using appropriate features
- use digital tools and AI for efficient information and data searches, and manage and cite research sources with reference managers
- ensure academic texts are coherent and cohesive through thorough editing and proofreading
- design and produce clear and effective data visualizations for academic presentations
Course Contents
- Introduction to AI in Text Analysis
- Levels and Techniques of Text Analysis
- AI and Word-Level Analysis
- AI and Meaning in Texts
- Analysis of Grammar and Its Aspects in Texts
- Exploring Genres and Text Types in the Digital Age
- Analyzing Plot Structures in Texts
- Setting, Tone, and Mood in Writing
- Author’s Style and Narrative Techniques
- Adapting Texts for Readability and Audience
- Academic Writing and Research Design
- Information and Data Retrieval for Research
- Conducting and Structuring Research
- Literature Review and Academic Writing Techniques
- Methodology and Data Presentation in Research
Assessment Elements
- Discussion
- Quiz
- Individual Production
- Group Production
- Project
- Collaborative Learning Task
Interim Assessment
- 2024/2025 2nd module0.15 * Collaborative Learning Task + 0.2 * Discussion + 0.1 * Group Production + 0.15 * Individual Production + 0.25 * Project + 0.15 * Quiz
- 2024/2025 3rd module0.2 * Discussion + 0.3 * Group Production + 0.2 * Individual Production + 0.3 * Project
Bibliography
Recommended Core Bibliography
- A course in semantics, Altshuler, D., 2019
- A creator's guide to transmedia storytelling : how to captivate and engage audiences across multi..., Phillips, A., 2012
- A short history of structural linguistics, Matthews, P. H., 2001
- Academic writing : a handbook for international students, Bailey, S., 2008
- Academic writing : a handbook for international students, Bailey, S., 2011
- Academic writing for graduate students : essential tasks and skills, Swales, J. M., 2004
- Academic writing for graduate students : essential tasks and skills, Swales, J. M., 2012
- Advanced English grammar : a linguistic approach, Depraetere, I., 2013
- Basic linguistic theory. Vol.3: Further grammatical topics, Dixon, R. M. W., 2013
- Corpus interrogation and grammatical patterns, , 2014
- Digital storytelling : capturing lives, creating community, Lambert, J., 2013
- From language to creative writing : an introduction, Seargeant, P., 2013
- From text to political positions : text analysis across disciplines, , 2014
- Genre analysis: English in academic and research settings, , 1990
- Key concepts in creative writing, Morrison, M., 2010
- Key terms in semantics, Murphy, M. L., 2010
- Languaging diversity : identities, genres, discourses, , 2015
- Lexical meaning in context : a web of words, Asher, N., 2012
- Make me a story : teaching writing through digital storytelling, Miller, L.C., 2010
- Meaning in language : an introduction to semantics and pragmatics, Cruse, A., 2011
- Meaning in linguistic interaction : semantics, metasemantics, philosophy of language, Jaszczcolt, K.M., 2016
- Point of view in the cinema : a theory of narration and subjectivity in classical film, Branigan, E., 1984
- Qualitative text analysis : a guide to methods, practice & using software, Kuckartz, U., 2014
- Storytelling techniques for digital filmmakers : plot structure, camera movement, lens selection,..., Hockrow, B., 2014
- Words and meanings : lexical semantics across domains, languages , and cultures, Goddard, C., 2014
- Words, meaning and vocabulary : an introduction to modern English lexicology, Jackson, H., 2011
Recommended Additional Bibliography
- 50 steps to improving your academic writing : study book, Sowton, C., 2012
- Text analysis for the social sciences : methods for drawing statistical inferences from texts and transcripts, , 1997