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English and AI: Terminology, Ethics and WritingLaajuus (1 cr)

Code: KE00DG83

Credits

1 op

Teaching language

  • English

Responsible person

  • Hamid Guedra

Objective

The student is able to:
- define and use key terms of AI in English
- identify AI risks and key points of AI ethics in English
- use AI tools responsibly for professional writing in English.

Proficiency level: B2

Enrollment

07.05.2025 - 19.04.2026

Timing

01.09.2025 - 17.05.2026

Number of ECTS credits allocated

1 op

Virtual portion

1 op

Mode of delivery

Distance learning

Unit

Kielikeskus (LAB)

Campus

E-campus

Teaching languages
  • English
Seats

15 - 70

Degree programmes
  • Language studies LAB
  • Language studies LUT
Teachers
  • Tessa Laba
  • Hamid Guedra
Scheduling groups
  • Avoimen ammattikorkeakoulun kiintiö / Ripa (Size: 2. Open UAS: 2.)
Groups
  • KKIE25LABH
  • KKIE25LUTH
Small groups
  • Open UAS quota / Cross-institutional

Learning outcomes

The student is able to:
- define and use key terms of AI in English
- identify AI risks and key points of AI ethics in English
- use AI tools responsibly for professional writing in English.

Proficiency level: B2

Implementation and methods of teaching

Continuous enrollment.

This on-demand, self-paced online course focuses on generative AI in English. The course introduces AI basics, key AI terminology in English, AI ethics and risks, how to leverage generative AI in the writing process, and basic AI prompting techniques. You complete the course by studying course materials, taking quizzes, trying out AI tools, and participating in online discussions to share and reflect on your findings with your peers. You can study at your own pace. You will automatically receive a course completion badge, which will show in your Moodle profile.

NOTE: Please do not enroll if you have already completed AI Corner. This course is an updated version of AI Corner and covers much of the same content.

Timing and attendance

On-demand, continuous enrollment. Online at your own pace.

Learning material and recommended literature

You can find and access all required materials on or via the course Moodle page. The materials include videos, readings, AI-generated podcasts, and online activities.

Alternative completion methods

No alternative completion options.

Learning environment

Online, on-demand. The course is offered on the LAB/LUT Moodle platform.

Student time use and work load

The estimated course workload is 1 ECTS (27 hours), including self-study and completing quizzes and course activities.

Contents

The course introduces AI basics (core concepts, some history of AI, etc.), key AI terminology, and AI ethics and risks (academic integrity, hallucinations, AI bias, cognitive outsourcing, AI's impact on work, etc.). You'll also learn to leverage generative AI in the writing process and basic AI prompting techniques (few-shot prompting, role prompting, etc.). You'll complete the course by studying course materials, taking quizzes, trying out AI tools, and participating in online discussions to share and reflect on your findings with your peers. You can complete the course at your own pace. After completing all required coursework, you'll automatically receive a course completion badge, which will show in your Moodle profile.

Additional information for students: previous knowledge etc.

The course is suitable for anyone with little to no prior knowledge of using generative AI in English. The course is at the CEFR B2 English level. To successfully complete the course, you should have strong English skills. You should also have good digital skills and be comfortable signing up for online systems.

Assessment criteria

The course is graded pass/fail. After you have completed all required coursework, you will automatically receive a course completion badge, which will show in your Moodle profile. After receiving the badge, contact the course instructor to have your 1 ECTS credit registered in the system.

Assessment scale

Approved/Failed

Failed (0)

The student has not completed the required coursework and has not received the course completion badge.

Assessment criteria: assessment scale failed/approved

The student has learned basic AI terminology in English and about AI ethics and risks, and how to responsibly use generative AI tools in the writing process. The student has successfully completed all required course activities and received the course completion badge.