KI for læring

Masteremne

Emnebeskrivelse

Mål og innhold

Objectives

The aim of the course is to equip participants with knowledge about historical, contemporary, theoretical, practical, and evaluative aspects of the use of artificial intelligence (AI) in learning contexts, including educational, professional, and everyday settings. Perspectives on the design, critiquing, evaluation and deployment of AI for Learning are also addressed. The course provides in-depth, cross-disciplinary coverage of the field of AI for Learning that is at the intersection of technology, human-computer interaction, education, psychology, philosophy, sociology, and law.

Content

The course covers a selection of central topics such as AI and learning, AI technologies (including genAI), AI governance, AI literacy, AI ethics, and future directions. The course encourages critical thinking about the technological, pedagogical, market, ethical, social, and legal implications of AI in learning contexts, equipping participants with the ability to reflect on its responsible use.

Læringsutbytte

Upon completion of the course, the student will have the following learning outcomes:

Knowledge

The student can:

  • explain the theoretical foundations underlying the use of AI for learning in professional, and everyday learning contexts
  • recognise ethical and privacy considerations in the application of AI for learning

Skills

The student can:

  • apply knowledge to the planning, design, critiquing, deployment, and evaluation of AI for learning in various contexts
  • participate in interdisciplinary teams evaluating AI systems for learning

General competencies

The student can:

  • work effectively in interdisciplinary teams
  • participate in discussions on the role of AI for learning in various contexts

Studiepoeng, omfang

5 ECTS

Studienivå (studiesyklus)

Master, Continuing and further education (EVU)

Undervisningssemester

Fall

Undervisningssted

Online
Krav til forkunnskaper

You must document that you meet both of the following admission requirements:

- A Bachelor's degree, cand.mag. degree, or an equivalent qualification or basic education with a minimum duration of three years / 180 credits

- A minimum of two years of work experience

Particularly extensive and relevant work experience beyond the minimum requirement of two years may, following an individual assessment, replace up to one year of the educational requirement (60 credits).

Anbefalte forkunnskaper
None
Studiepoengsreduksjon
None
Krav til studierett
Entry to this course requires admission through UiB Videre.
Arbeids- og undervisningsformer
The course employs a range of learning methods including lectures, discussions, group work, and participant feedback.
Obligatorisk undervisningsaktivitet

Group project presentation

Participation in 80% course seminars.

Compulsory assignments/activities given throughout the semester must be completed and approved.

Approved compulsory requirements are valid for three semesters.

Vurderingsformer

The course uses the following forms of assessment:

Written exam, 2 parts

  1. Project report, group (60%)
  2. Perfomance review of group work, individual (40%)
Karakterskala
Letter grades with the scale A, B, C, D, E, F
Vurderingssemester
Fall
Litteraturliste
The literature list will be ready before 1 July for the autumn semester and 1 December for the following spring semester.
Emneevaluering
The course is evaluated in accordance with the Faculty of Psychology's routines for participatory evaluation and UiB's quality assurance system. The evaluation will be conducted by SLATE (Centre for the Science of Learning & Technology)
Programansvarlig
Faculty of Psychology, SLATE (Centre for the Science of Learning & Technology)
Emneansvarlig
SLATE (Centre for the Science of Learning & Technology)
Administrativt ansvarlig
Faculty of Psychology, SLATE (Centre for the Science of Learning & Technology)