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Language Technologies Applied to English Studies

Code: 45347
Credits: 5
2026/2027
Degree programme Type Course
English Studies: Linguistic, Literary and Sociocultural Perspectives OB 1

Contact lecturer

Name :
Virginia Pignagnoli
Email :
virginia.pignagnoli@uab.cat

Teaching staff

Laura Jane Styles
David Owen

Group languages

You can consult this information at the end of the document.

Prerequisites

Students are expected to bring their own laptops with the latest version of the operating system.

Objectives

This course aims at introducing students to the theories and practices of using digital tools and methodologies for the study of the critical use of A.I., literature, and computer-assisted language learning.

Learning outcomes

  • CA06 (Create educational proposals based on the use of digital tools to improve motivation among English as a foreign language students.) Create educational proposals based on the use of digital tools to improve motivation among English as a foreign language students.
  • CA07 (Apply the basic knowledge acquired about the function and opportunities offered by various digital tools in specific academic and professional environments.) Apply the basic knowledge acquired about the function and opportunities offered by various digital tools in specific academic and professional environments.
  • CA08 (Use digital files in a specific project to locate literary and cultural primary sources.) Use digital files in a specific project to locate literary and cultural primary sources.
  • KA07 (Describe the main theories and new educational models for teaching second or foreign languages through the application of technology.) Describe the main theories and new educational models for teaching second or foreign languages through the application of technology.
  • KA08 (Recognise the different databases relevant to the student's specialisation and learn about their internal organisation.) Recognise the different databases relevant to the student's specialisation and learn about their internal organisation.
  • SA10 (Critically assess the reliability of digital data and sources.) Critically assess the reliability of digital data and sources.
  • SA12 (Use the appropriate techniques and technological tools for data analysis according to the area of specialisation, the chosen methodology and the type of data.) Use the appropriate techniques and technological tools for data analysis according to the area of specialisation, the chosen methodology and the type of data.

Contents

The course provides a general introduction to the Digital Humanities with a focus on Literary Studies and Linguistics. We will explore various approaches and methodologies, and we will experiment with digital tools and techniques. We will engage with debates around this field of study, such as Critical A.I., offering an overview of recent critical approaches and applications. Students will learn how to analyze digital projects and design their own digital humanities project. This project will then be used as the basis of creating materials for computer-assisted language learning and instruction.


Learning activities and methodology

Title Hours ECTS Learning outcomes
Material Design 63 2.52
Discussions on assigned readings and topics 31.25 1.25
Practical Exercises 25.05 1.002

Weekly reading and discussion

Students will complete all weekly readings in advance of the class meeting and will take an active part in class discussions.

Blogging

Students will create their own blogging site in the first week of class. They will write blog posts in response to our weekly readings and class discussions that will be shared also on our course blog for the other students to read and comment on.

Main project

Students may work individually or in pairs. The project will be submitted according to the instructions and the deadlines provided by the teachers.


Annotation: within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

Assessment

Continuous assessment activities

Title Weight Hours ECTS Learning outcomes
Main project, CALL component 40% 2.3 0.092 CA06, CA07, KA07, SA10, SA12
Main Project, DH component 40% 2.3 0.092 CA06, CA07, CA08, KA08, SA10, SA12
Participation and blogging 20% 1.1 0.044 CA06, CA07, KA07, SA12

Participation and blogging: 20%

Main project:

  • DH component: 40%
  • CALL component: 40%


Please note:

  • This subject/module does not provide for the single assessment system.
  • Students will obtain a not assessed/not submitted course grade unless they have submitted more than 30% of the assessment items.
  • Erasmus and exchange students who request to advance an exam must present a document from their home university justifying their request.

Procedure for reviewing grades awarded

  • On carrying out each evaluation activity, lecturers will inform students (on Moodle) of the procedures to be followed for reviewing all grades awarded, and the date on which such a review will take place.

Reassessment

  • To be eligible for re-assessment, students must have completed assessment activities accounting for at least 2/3 of the total assessment.
  • Only those students who have fulfilled all coursework requirements (participation and blogging) and have obtained between 3.5 and 4.8 (FAIL) as a provisional final grade and have passed either the DH component or the CALL component of the main project have a right to re-assessment.
  • Re-assessment will be through a written examination on a date and time established by the Faculty. This exam will synthesize the essential contents of the subject as a whole.
  • Specific items of course work will NOT be re-assessed, except where a student may have a justified absence (e.g., through illness, accredited by a doctor's note). Re-assessment is ONLY available to students who have failed initial assessment; it is NOT available to pass students simply wishing to improve their grade.


Plagiarism

  • In accordance with current regulations, in the event of a student committing any irregularity that may lead to a significant variation in the grade awarded to an assessment activity, the student will be given a zero for this activity, regardless of any disciplinary process that may take place. In the event of several irregularities in assessment activities of the same subject, the student will be given a zero as the final grade for this subject.
  • Irregularities refer, for example, to copying in an exam, copying from sources without indicating authorship, or improper use of AI. These evaluation activities are not recoverable.
  • This subject allows the use of AI technologies exclusively for support tasks such as those assignments for which the use of GenAI tools has the explicit permission of the instructor. In the case of subjects in a Modern Languages degree, use of translation must be specifically authorised by the teacher. Other specific situations may be contemplated, as deemed appropriate by the teacher. The student must clearly (i) identify which parts have been generated using AI technology; (ii) specify the tools used; and (iii) include a critical reflection on how these have influenced the process and final outcome of the activity. Lack of transparency regarding the use of AI in the assessed activity will be considered academic dishonesty; the corresponding grade may be lowered, or the work may even be awarded a zero. In cases of greater infringement, more serious action may be taken.

Bibliography

Recommended readings:


  • Farr, F., & Murray, L. (Eds.). (2016). The Routledge handbook of language learning and technology. Routledge.
  • Eve, Martin Paul, The Digital Humanities and Literary Studies. Oxford UP 2022. Available in open access here.


Required readings will be made available throughout the course.

Software

WordPress (free version)

Any Internet browser (most recent version installed)


Course groups and languages

The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE

Type of teaching Group Language Semester Shift
(TEm) Theory (master) 1 English first semester morning-mixed