course-details-portlet

IT3023 - Learning Technology and Analytics

About

Examination arrangement

Examination arrangement: Approved report
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Approved report 100/100 ALLE

Course content

The course is a combination of lectures and project work. The lectures will support the progress of the project, the project has different deliverables and is done in teams. Each team has to work with a learning system, put it into practice, collect empirical data and analyze them. Groupwise final presentation of the system and the collected learning analytics. The students will have to submit the group deliverables (mandatory) and the group project (counting 100% of the final evaluation) to pass the course.

Learning outcome

The course gives fundamental knowledge of learning systems and learning analytics. In particular, on completion of the course, students will be able to:

- Understand the design and development of contemporary learning systems.

- Explain how a technology feature influences learning processes.

- Evaluate the effect of a learning system through learner-generated data (i.e., learning analytics).

- Elaborate a study that assesses the effectiveness and efficiency of a learning technology given the target audience and expected learning outcomes.

Learning methods and activities

Lectures and a project. Each team has to submit project deliverables during the semester and a final report. Grading is team-based, but individual grades can be given in special cases. The course will be held in English.

Compulsory assignments

  • Leveransen

Further on evaluation

The report from the project is the basis for the grade in the course. The students also have to submit the mandatory deliverables throughout the semester. Retake of the course will require new deliverables/report.

Specific conditions

Compulsory activities from previous semester may be approved by the department.

Admission to a programme of study is required:
Computer Science (MIDT)
Computer Science (MTDT)
Informatics (MIT)
Informatics (MSIT)
Natural Science with Teacher Education, years 8 - 13 (MLREAL)

Required previous knowledge

The course is for students MSIT profile "Interaksjonsdesign spill- og læringsteknologi", MTDT/MIDT profiles "Programvareutvikling", "Digital virksomhetsutvikling", or "Interaksjonsdesign og spillteknologi" or LUR students specialising in mathematics and informatics (or contact the teacher).

Course materials

Will be given at the start of the semester.

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2022

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Computer Science
  • Engineering Subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Computer Science

Examination

Examination arrangement: Approved report

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Approved report 100/100 ALLE
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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