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
- 350 students at the VU will pass the course
- 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+0.10L
- 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
- 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)
- 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