About this course

PPST100 is a course we have developed to support students in their transition into university life.The aim is to provide students with the tools and insights they need to master a new academic everyday life.

The course is divided into three modules:

  • Part 1: Practical aspects of student life
  • Part 2: Study skills, learning, and learning strategies
  • Part 3: Belonging, coping, stress, and motivation

The course aims to strengthen students’ ability to take responsibility for their own learning and to develop good study habits early in their academic journey. It is designed to help students build a study life characterized by joy, a sense of mastery, and confidence in their own abilities.

Learning outcome

Knowledge

The candidate has knowledge of:

  • the transition into the student role, including new routines, expectations, and what it means to be a university student
  • fundamental principles of time management, planning, and structure in everyday academic life
  • relevant digital tools for organisation, learning, and study work (calendars, learning management systems, note‑taking tools, productivity tools)
  • key components of a sustainable student life, including finances, housing, health, and support services
  • effective study techniques, learning strategies, and student‑active learning methods
  • basic academic norms: characteristics of academic texts, assignment instructions, assessment criteria, AI, use of sources, and plagiarism
  • group dynamics, collaboration, and the characteristics of a well‑functioning learning community
  • factors influencing belonging, motivation, and self‑efficacy in higher education, including growth mindset and self‑regulated learning

Skills

The candidate is able to:

  • apply relevant structuring tools to plan the semester, organise weekly study sessions, and work strategically with long‑term assignments
  • use digital tools to structure, prioritise, and carry out academic and practical tasks
  • apply appropriate study techniques such as active reading, note‑taking strategies, self‑testing, collaboration, and strategic use of course materials and learning activities
  • demonstrate fundamental academic skills: interpret assignment prompts, use assessment criteria, and locate and apply sources correctly
  • use strategies for group work, establish and follow a group contract, and contribute to constructive collaboration
  • apply self‑regulated learning strategies, including goal‑setting, planning, monitoring, and adjusting their own learning processes
  • use techniques to manage performance pressure, comparison, and academic challenges in a health‑promoting manner

General Competence

The candidate can reflect upon and take responsibility for:

  • their own role in the transition to student life and in developing good, sustainable study habits
  • how academic and practical choices influence study progression, well‑being, and learning outcomes
  • their own motivation, sense of belonging, and self‑efficacy, and how these can be strengthened over time
  • academic integrity, ethical guidelines in student life, and the importance of source criticism
  • how a conscious and structured approach to studying, collaboration, and personal well‑being can contribute to an inclusive and productive learning environment
  • how to seek help, use support services, and make effective use of university resources
  • Learning activities

    Lectures, group work, practical exercises, reflections, and discussions.
  • Teaching support

    Feedback and student collaboration.
  • Syllabus

    Literature will be available in Canvas at the start of the course.
  • Prerequisites

    None
  • Recommended prerequisites

    None
  • Assessment method

    Written individual reflections
  • About use of AI

    K3 - Full use of AI. Use of AI is permitted, but must be in line with the guidelines for the use of artificial intelligence (AI) at NMBU.

    The participant in the course must explain whether - and if so, how and why - AI has been used in the work of developing their own teaching and in writing the essay that forms the assessment in the course. If AI has been used, the participant must explain whether the use of AI has contributed to their development as a university lecturer. The explanation of the use of AI must be included as part of the essay.

    Descriptions of AI-category codes.

  • Examiner scheme

    The examiner will evaluate the assignment prompt and assess a selection of the submitted assignments.
  • Mandatory activity

    • 75% attendance.
    • Submission of individual reflections and participation in group work
  • Teaching hours

    Two times two hours per week for 12 weeks.
  • Preferential right

    Students coming straight from upper secondary school.
  • Reduction of credits

    None
  • Admission requirements

    You need to be a student at NMBU