Academic Skills Course Notes

Introduction and Course Overview

  • Transcript originates from Vrije Universiteit Amsterdam (VU) School of Business and Economics, Academic Skills course for BSc International Business Administration.
  • Pages indicate a slide deck used for an orientation to Academic Skills, AI policy, team structure, course objectives, assignments, grading, and logistics.

Course Coordinator

  • Assistant Professor in Human Resource Management: Dr. Sabrine El Baroudi (email: s.elbaroudi@vu.nl)
  • Department: Management and Organization, SBE
  • Joined VU in 2018
  • Teaching: Research Courses, Bachelor, Master, and PhD supervision
  • Research interests: individual and team behavior, leadership and extra-role behaviors

WHY ACADEMIC SKILLS?

  • Rationale: To develop skills that help navigate academic work effectively
  • Emphasizes foundational role of academic skills in higher education and beyond

WHAT IS RESEARCH?

  • Research is about contributing to knowledge.
  • How to contribute:
    • Create new knowledge
    • Add to existing knowledge
    • Reject existing knowledge
  • Knowledge is described as Theory:
    • “A theory is a logically self-consistent framework that describes and explains some aspect of the world, based on observations and experiments” (Lee & Lings, 2013)

WHY DO WE NEED IT?

  • Simple illustration: Ice Cream Sales vs. Shark Attacks across months
    • Factors that could influence results: weather, events, seasonality (e.g., Super Bowl)
  • Point: Research aims to explain complex phenomena; understanding is captured in theories; empirical work cumulatively shapes theories
  • In social sciences, a single phenomenon can be explained by several theories
  • Example domains: Firm Positioning, Marketing, Stakeholder Relations, Firm Performance

INDUCTIVE VS DEDUCTIVE APPROACH

  • Inductive approach:
    • When there is little or no existing theory, you create a new theory (qualitative research)
  • Deductive approach:
    • When there are existing theories, you test and refine them (quantitative research)
  • Example prompt: Why do some students pass or fail a course? Which approach fits?

INDUCTION AND DEDUCTION (LEE & LINGS, 2013, P.6)

  • Induction: start from specific observations to create a general theory
    • Example: Observe what students do to pass/fail; conduct interviews about experiences
    • Outcome: general statements such as
    • “students pass the course when they attend lectures, are active during tutorials and work on their assignments”
    • “students fail the course when they never attend lectures, are passive during tutorials and don’t work on assignments.”
  • Deduction: use existing theory to set up hypotheses and test them
    • Example: Survey 400 students; predict that 350 attend lectures, are active in tutorials, and work on assignments; formulate hypotheses such as
    1. 350 students at the VU will pass the course
    2. 50 students will fail the course

INDUCTION AND DEDUCTION — CHALLENGES & EXTENSIONS

  • Possible outcomes beyond initial hypotheses: you might find support or need to reject hypotheses
  • If results deviate (e.g., 370 pass), you must explain other factors
    • Consider factors like context or other variables (e.g., IQ)
  • Contribution to knowledge: adding new insights to existing knowledge and theories

THE PROCESS OF INDUCTION AND DEDUCTION

  • Induction: Generalize from data to Theory
    • Collect data, generate hypotheses
  • Deduction: Use existing Theory to derive predictions and test them
  • Schematic flow (from slide):
    • Induction -> Generalize -> Theory
    • Collect data -> Generate hypotheses
    • Deduction -> Apply Theory (VU)

ACADEMIC SKILLS – IMPORTANCE & SKILLS GAINED

  • Crucial to navigate a complex world
  • Skills provided:
    • Understand theories and their limits
    • Evaluate scientific output
    • Design your own studies
    • Later: conduct your own empirical research (complemented by research methods courses)

ACADEMIC SKILLS AND AI

  • AI usage policy:
    • You are allowed to use generative AI to enhance initial content and writing
    • AI can offer inspiration and learning advantages
    • Do not copy-paste AI-generated output
    • AI-generated content cannot substitute your work

ACADEMIC SKILLS AND AI — ADDITIONAL GUIDANCE

  • Follow academic integrity rules
  • All AI usage must be reported in a separate appendix (tools used and how output was incorporated)
  • Each student must provide an honesty declaration for each assignment
  • After assignments, random oral checks may occur to ensure compliance with course manual and instructions
  • Unauthorized AI use is treated the same as plagiarism

TEACHING TEAM

  • Professor-level and teaching staff across lectures and tutorials (names listed on slides):
    • Dr. Rebecca Ruehle
    • Dr. Valentina Fani
    • Arjan de Rooy
    • Dr. Agnes Baker
    • Dr. Sabrine El Baroudi
    • Kathleen Czako
  • Tutorials: Chi Nguyen, MSc; Dr. Valentina Fani; Rebekka Tavakoli, MPhil; Dr. Sabrine El Baroudi
  • Tutorials lead: Academic Skills Team

COURSE OVERVIEW

  • Institution: Vrije Universiteit Amsterdam, School of Business and Economics
  • Programme: BSC International Business Administration
  • Course Manual: Academic Year 2024-2025, Period 1.1 (Pages 14-17 referenced)

ACADEMIC SKILLS – COURSE MANUAL

  • Course Manual: Outline of course structure, rules, and requirements (on Canvas)
  • Lectures + Tutorials scheduling details

COURSE OBJECTIVES: ACADEMIC RESEARCH

  • Identify the problem and write an introduction
  • Review the literature
  • Determine the research design
  • Conduct the research: data collection
  • Data analysis and interpretation
  • Discuss findings
  • Individual assignment
  • Group assignment

ASSIGNMENTS & GRADING

  • Two main assessment components:
    • Individual Assignment
    • Group Assignment
  • Tutorials provide guidance and feedback
  • In-class activities labeled as trainings to help finalize assignments
  • Additional course manual details for submission requirements
  • Tutors answer questions about assignments

INDIVIDUAL ASSIGNMENT

  • Requirements:
    • Formulate a research question suitable for quantitative research
    • Write a literature review
    • Formulate hypotheses
    • Design a simple research model
  • Tutorials guide toward finalizing the assignment
  • Feedback on progress during tutorials
  • In-class trainings to prepare for final submission
  • Check Course Manual for details and submission requirements
  • Ask tutors with questions
  • Submission deadlines per course manual

GROUP ASSIGNMENT

  • Group size: 5 students
  • Tasks:
    • Develop two research questions: one qualitative and one quantitative
    • Explain how to conduct research to answer both questions
    • Provide a research proposal for each question (methods, data collection, analysis)
  • Note: You will not conduct actual research yet; proposals must fit corresponding research perspectives
  • Lectures and tutorials guide toward finalization
  • Submission deadline per Course Manual

ATTENDANCE & PARTICIPATION GRADE – TUTORIALS

  • Four in-class activities with your team
  • Team members evaluate each other
  • Four passes = 10% of final grade
  • Tutorials contribute 10% to overall grade

ATTENDANCE & PARTICIPATION GRADE – LECTURES

  • Four quizzes during lectures
  • Dates not announced in advance
  • Limited time to complete quizzes
  • Participation grade: 10% of average of all quiz grades
  • See Course Manual for more details

MANDATORY ELEMENTS & HONESTY DECLARATION

  • You must provide an honesty declaration
  • Take the quiz on Academic Conduct
  • Mandatory elements for eligibility and grading

GRADING IN SUM

  • Weightings:
    • Group Assignment: 40% of final grade
    • Individual Assignment: 40% of final grade
    • Attendance & participation (tutorials): 10% of final grade
    • Attendance & participation (lectures): 10% of final grade
  • Overall Course Grade: Minimum 5.5 to pass
  • Resits:
    • Group: resits capped at 6.00
    • Individual: resits capped at 6.00
    • Tutorials: no resits
    • Lectures: no resits
  • Summary equation: extFinalGrade=0.40G+0.40I+0.10T+0.10Lext{Final Grade} = 0.40 \, G + 0.40 \, I + 0.10 \, T + 0.10 \, L
    • Where G = Group Assignment, I = Individual Assignment, T = Tutorials, L = Lectures

FOR SECOND YEAR STUDENTS

  • You must only make up the assignment for which you failed last year
  • If you want to transfer last year’s grades, email the course coordinator and relevant tutorial teacher
  • Provide your work group number
  • Only assignments from last year can be transferred

ADDITIONAL INFORMATION

  • General course info and logistics (not all content shown on slides)

COURSE SCHEDULE AND PLANNING

  • Lectures: Monday and Tuesday
  • Tutorials: Monday and Tuesday
  • Academic Skills sessions: Monday and Tuesday
  • Tutorials: check personal schedule

LITERATURE

  • Main book: Doing Business Research: A guide to theory and practice, 8th edition, Nick Lee and Ian Lings (2008), London: Sage Publications
  • Additional materials on Canvas (for lectures, tutorials, and assignments)

ANNOUNCEMENTS AND CONTACT

  • The Course Manual provides detailed course description and rules (on Canvas)
  • Prepare for tutorial sessions; sometimes submit preparations on Canvas
  • Messages announced on Canvas
  • Questions: ask in tutorial sessions or during live sessions with the course coordinator
  • Do not send Canvas messages; use email when necessary
  • Contact respective services for potential adjustments
  • FAQ section on Canvas for common questions

HOW TO FAIL THE COURSE

  • Common reasons for failure are listed in the slides

WHEN DO STUDENTS FAIL?

  • Examples:
    • Start doing work when course is nearly finished
    • Individual assignment treated as an easy essay (not acceptable)
    • Group assignment treated as an easy task without academic requirements
    • Plagiarism

WHAT IS PLAGIARISM?

  • General guidelines (see Course Manual for details):
    • Using another student’s work
    • Buying an assignment
    • Stealing others’ ideas
    • Copying text and presenting it as your own (including AI content)
    • Self-plagiarism
    • Not following APA requirements
  • If plagiarism occurs, the SBE examination board handles the case

IMPORTANT WEBSITES

  • Academic Skills (vu.nl)
  • VU Timetable – Timetable view | VU Amsterdam
  • Universiteitsbibliotheek – Vrije Universiteit Amsterdam (vu.nl)

THANK YOU

  • Closing slide; end of deck