Notes on Critical Thinking, Experiential Learning, and Real-World Applications in a Business Course

Course aims and the role of critical thinking

  • Upper-division business course focused on building critical thinking skills in two dimensions: ethical/societal perspective and practical/operational application within organizations.

  • Critical thinking for society:

    • Evaluate ethical implications and social ramifications of decisions.

    • Example: locking a door at 9:05 to enforce attendance is symbolically severe; in the 21st century this may be inappropriate and overlook context.

  • Critical thinking for organizational success:

    • Apply theories and concepts to real-world settings, mindfully and conceptually.

    • You will move from being employees to acting as agents for employers, investors, or state entities.

  • This course emphasizes experiential learning in a social science context (human behavior, organizations) rather than laboratory-style experiments typical in physical sciences.

  • Rationale: upper-division students graduate as managers who must reason ethically and operationally, not just memorize frameworks.

Two types of critical thinking skills

  • Ethical and societal perspective:

    • Assess not only outcomes but also effects on people and communities.

    • Consider how systems design affects social equity, privacy, and human dignity.

  • Operational/applicative perspective:

    • Take knowledge from theories and apply it to real organizations, stakeholders, and decision contexts.

    • Unlike natural sciences with labs, this course relies on field observation, case analysis, and classroom experiential learning.

Experiential learning vs. lab sessions in other disciplines

  • In physical sciences: lab sessions with book theories actively tested.

  • In social sciences (business): learning happens through observation of actual managers and organizations, due to time, liability, and feasibility constraints.

  • The instructor uses experiential learning in the classroom to simulate field observations and policy design.

Case study: convergence of technology and human behavior

  • Mark Zuckerberg (Meta) example:

    • Undergraduate major commonly thought of as “Business” or “Computer Science”; Zuckerberg dropped out.

    • His mother was a psychologist; he minored in psychology.

    • The insight: as the digital world grows, people desire connection, and understanding human behavior helps design technology that facilitates connection.

    • Takeaway: success as future business leaders depends on understanding human behavior and how to organize formal and informal behavior within teams.

  • Implication for managers:

    • Balance technical capability (tech/computer science) with behavioral insight (psychology, social dynamics).

Collaboration, leadership, and organizational design

  • Absolutely essential for leaders to enable collaboration among diverse individuals.

  • A famous experiment: a company moved from open rooms to cubicles and opened manager doors to create openness, but collaboration did not automatically emerge.

  • Lesson: simply changing workspace does not produce collaboration; you must understand human behavior and implement effective structures, norms, and incentives.

  • Practical goal: design policies, processes, and cultures that actually foster collaboration and transparency.

Course structure, units, and pathways

  • The course is one of three units required to graduate with a business major.

  • There is an evening MBA program (NorCal campus) for working professionals:

    • Schedule roughly 6:00–8:50 PM per session (evening program).

    • The program is described as an option for pursuing an MBA; continuing education and advancement are highlighted.

  • The instructor’s aim: help you build critical thinking skills to succeed in graduate studies and beyond.

The course activities, theory, and two information layers

  • Each assigned item has two layers:

    • An activity you work on in the assignment.

    • Theory connected to the activity.

  • The default classroom approach is to ask a question, but in the real world you design policies and procedures; this is the core of critical thinking.

  • What you are asked to do in assignments:

    • Connect the activity to at least three theories from the second layer (course theories).

    • Use course material to form opinions and interpretations about the activity.

    • Provide independent analysis first, then discuss in groups (final post).

  • Rubric context: Copilot and AI tools are introduced to broaden response quality and allow varied inputs; rubric refinement will occur after the first exam.

Knowledge and critical-thinking rubric (conceptual overview)

  • Knowledge in this class is framed across multiple levels:

    • Basic level: recognize concepts and identify key terms (three key terms per section is the guideline).

    • Middle levels: connect key terms and show cause-effect relationships (e.g., incentives and motivation).

    • Higher levels: tie concepts to the overall course theme (explain human behavior in organizations) and demonstrate applied writing quality.

  • Three-tiered focus for knowledge in context of critical thinking:

    • Three core concepts per section, linked to each other (usually via cause-and-effect).

    • Distinguish between types of incentives and their motivational horizons (financial vs symbolic).

    • Translate theories into policy design and decision-making examples.

  • Writing expectations (undergraduate): strong writing proficiency; individual analysis first, then group discussion; the final post includes group collaboration.

Key concepts and examples mentioned

  • Incentives and motivation:

    • Financial incentive -> short-term motivation.

    • Symbolic incentive (non-financial, prestige, recognition) -> long-term motivation.

    • Conceptual relationship captured by simple representations:
      M<em>extshort=aI</em>fM<em>{ ext{short}} = a \, I</em>f
      M<em>extlong=bI</em>sM<em>{ ext{long}} = b \, I</em>s

    • The course discusses how different incentive types affect behavior and policy outcomes.

  • Returns and investment framing:

    • Investors expect returns on investment; example: investing $100 in Facebook (now Meta) with an expected return of 20%–30%:
      extExpectedReturn0.20 to 0.30×P,P=100Expected Return=20 to 30.ext{Expected Return} \approx 0.20 \text{ to } 0.30 \times P, \quad P = 100 \Rightarrow \text{Expected Return} = 20 \text{ to } 30.

    • Public investors (e.g., pension funds) care about fiduciary duty as well as social impact; tension between fiduciary duty and social responsibility discussed.

  • Fiduciary duty vs. social responsibility:

    • Publicly traded companies have fiduciary duties to investors; some critics argue this may conflict with broader social goals.

    • Debates in discussion posts reflect different viewpoints on whether fiduciary duty excludes social responsibility or if leaders should balance both.

  • Conventional vs. sustainable approach in managing organizations:

    • The discussion ties micro-level decisions (within the organization) to macro-level implications (investment and boardroom decisions).

  • Henry Ford thought experiment (video prompt):

    • Ford’s challenge with productivity across multiple workstations and interdependent tasks.

    • The prompt invites consideration of process improvements, workflow design, and the organizational behavior factors that influence efficiency.

Real-world relevance and ethical implications

  • Leaders must design systems that balance profitability with social impact; investors may push for financial returns, but there is growing emphasis on sustainability and ethical governance.

  • Understanding human behavior is essential for management success, including managing formal structures and informal networks.

  • Workspace design and organizational culture are not neutral; they shape collaboration, communication, and performance.

  • Ethical considerations include fairness, privacy, and the social consequences of policy choices in organizations.

Practical implications for future managers

  • When designing policies and procedures, anticipate both operational outcomes and social ramifications.

  • Use theory to interpret activities and justify decisions with evidence from course materials.

  • Be prepared to justify choices to diverse stakeholders (employees, investors, customers, communities).

  • Develop skills to foster collaboration, transparency, and ethical leadership in organizational settings.

Formulas and numerical references (LaTeX)

  • Incentive motivation representations:
    M<em>extshort=aI</em>fM<em>{ ext{short}} = a \, I</em>f
    M<em>extlong=bI</em>sM<em>{ ext{long}} = b \, I</em>s

  • Investment and return example:
    Expected Return=[0.20,0.30]×P,P=100Expected Return=[20,30].\text{Expected Return} = [0.20, 0.30] \times P, \quad P = 100 \Rightarrow \text{Expected Return} = [20, 30].

  • Basic financial return relation (ROI):
    ROI=RPPROI = \frac{R - P}{P}

  • Example linkages between theory and outcome can be expressed as:
    Let theory T influence policy P, which affects outcome O:
    O=fT(P)O = f_T(P)

Prompts for study and reflection

  • How would you apply the ethical vs. operational critical-thinking framework to a real policy decision in a company you know?

  • How can you design an incentive system that balances short-term financial performance with long-term symbolic incentives (e.g., culture, recognition, purpose)?

  • In what ways might fiduciary duty conflict with or support social responsibility in today’s tech companies?

  • How would you structure a group project to ensure genuine collaboration, given the cautionary example about office design and open-door policies?