Tema 3 - Herramientas digitales para potenciar la enseñanza - 2da Parte

Main ideas & lessons (Topic 1: Student engagement and gamification)

Student engagement: why it matters

• Student engagement/commitment improves outcomes
  • Higher engagement is linked to better academic results.
  • It supports resilience, helping learners overcome difficult modules or periods.
  • It is associated with lower dropout rates, improving training and professional development retention.

Gamification as a strategy to increase engagement

• Gamification is presented as a way to encourage the type of engagement that leads to better learning outcomes.
• It is not an in-depth course on learning styles or tool selection. Instead, it aims to provide an epistemological basis: understand when and why to use technological tools—avoiding “using tech without understanding the tool/background.”

Definition of gamification (Carl Cap)

• Gamification = using game mechanics/dynamics, aesthetic, and game-like thinking to:
  • motivate and engage people
  • encourage more committed actions in development, learning, and problem-solving

Components of gamification

1) Game mechanics / dynamics

• Structured rules
• Rewards, such as:
  • points, levels
  • challenging tasks
  • medals

2) Aesthetic

• Visual/experiential design that can generate empathy
• Helps learners feel immersed or mentally engaged
• Classroom “atmosphere” examples:
  • simulate being in a trial
  • simulate attending to a patient
  • simulate an agricultural/conditions scenario

3) Game thinking

• Not “making a game”
• Solving problems and reaching goals through a path with a defined sequence
• Clarification:
  • Gamification ≠ game-based learning (where games are specifically built for learning)

What gamification helps achieve (claimed benefits)

• Engage learners (stronger connection to what they do)
• Motivate action
  • move students from passive participation to active contribution
• Promote self-learning
  • learners seek resources such as forums, YouTube channels, courses, and manufacturer materials
• Make problem-solving feel fun
  • frame learning as meaningful challenges

Pedagogically effective gamification elements

• Points and progress systems

  • Students can see stars, points, or progress as they complete course tasks.
  • Points can be earned for:
    • time invested
    • tasks completed
    • forum participation (e.g., arguments)
    • submitted products (e.g., designs/images)

• Badges / achievements

  • Indicate that learners reached a milestone.
  • Examples mentioned:
    • levels such as basic / intermediate / advanced
    • an unlock such as “basic programmer”
    • a “critical thinker” badge unlocked when students demonstrate deep analysis of primary sources and share insights in class or via forum

• Narrative and context

  • Learning activities are wrapped in a story with a beginning, development, and end.
  • Example (law):
    • students act as a law firm
    • they investigate, argue, and defend positions before a tribunal (teacher or peers)

• Immediate feedback

  • Like video games: after completing actions/routes/goals, learners receive direct feedback.
  • Using modern tools: quizzes/questionnaires with immediate results.
  • Emphasis on feedback quality:
    • explain why the chosen answer is correct
    • explain why incorrect options are incorrect

• Leaderboards

  • Intended to motivate through visible ranking.
  • Presented as a double-edged sword:
    • can demotivate students who feel they “never get past a level”
  • Recommended approach (Hamary, 2017):
    • use leaderboards that track individual progress, not peer comparison
    • peer comparison only makes sense when learners share conditions (time, resources, prerequisites), which is rarely true
  • Guiding principle:
    • celebrate learning and progress, not only speed or competition

Cautions / reflections on gamification use

• Avoid rewarding only speed

  • Concern example: rewarding who finishes fastest via phone participation.
  • Key question:
    • Did the activity create awareness and deep understanding, or just fast completion?

• Motivation should not become exclusion

  • Avoid designs where only top performers are rewarded and others become “invisible.”
  • A good system should celebrate learning, not just competitive performance.

Practical teaching example mentioned

• Online “roulette wheel” for participation
  • The instructor uses an online roulette containing a list of students.
  • It is spun, and the selected students are asked to answer.
  • Suitable for videoconference sessions to hear students’ responses.

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Main ideas & lessons (Topic 2: Importance of simulators)

Why simulators matter in education

• Simulators are increasingly important in:
  • continuing education
  • career-oriented training

Definition of an educational simulator

• A digital environment that replicates:
  • the conditions and variables of a real system/situation
  • ways of interacting with that system
• Purpose:
  • allow experimentation and decision-making
  • enable learning from mistakes

Core summary

• Simulators are safe laboratories
• They provide a controlled and accessible environment (including online) for learners in different locations.

Educational value of simulators

• Allows “safe failure” (learn from errors)

  • Example (electronics):
    • “burning devices” is not viable in real practice
    • simulators let learners test outcomes (e.g., burning or melting components) to build caution before real activation

• Unlimited replays

  • Learners can repeat attempts if they fail.
  • Difficulty can increase across attempts (iterative progression).

• Supports step-by-step progression

  • Move learners from phase 1 to phase 2.
  • Example (physics analogy):
    • start with fewer elements (e.g., 5–7)
    • later increase complexity (e.g., 9–12)

• Generates performance data

  • Used to:
    • produce reports
    • inform decisions and adjust teaching/practice guidance based on learner needs

• Democratizes access to complex scenarios

  • Learners can practice experiences that require expensive or inaccessible equipment, such as:
    • robots
    • oscilloscope tools
    • medical monitoring equipment (e.g., vital sign/pulse checking systems)

Tools / simulator examples mentioned

• Recent mention: PET simulators (attributed to the University of Colorado)
• Other examples/tools:
  • GeoGebra
  • Labster
  • Moodle Simulation Game (a plugin that requires admin installation; helpful for logic development and some engineering tasks)
  • Simulab
  • Harvard Business Case (free cases used to exemplify/explain topics)

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Conclusion / encouragement

• Use simulators in a well-planned way so students:
  • learn at their own pace
  • make mistakes as many times as needed
  • benefit from making mistakes in simulation rather than with real equipment

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Speakers / sources featured

• Víctor Cuchillac (speaker; introduced the session)
• Skinner, Kinderman, and Conel (2009) (cited regarding engagement and academic outcomes)
• Carl Cap (source for the gamification definition)
• Hamary (2017) (cited regarding guidance on leaderboards/comparing vs individual progress)
• University of Colorado (source associated with PET simulators)