Designing Educational Games to Foster Decision Experience in College Innovation and Entrepreneurship Programs

Area of Science:

• Educational Technology
• Computer Science

Background:

• Traditional college Innovation and Entrepreneurship (IE) courses face challenges in maintaining student engagement and effectively monitoring knowledge mastery.
• Educational games offer a potential solution by immersing learners in situational environments to boost enthusiasm and understanding.

Purpose of the Study:

• To develop and evaluate a game-based model for college IE education that improves knowledge mastery assessment and learner engagement.
• To integrate Bayesian Networks (BN) for Probabilistic Reasoning (PR) and an enhanced Deep Knowledge Tracing (DKT) algorithm within an educational game framework.

Main Methods:

• A college IE decision-experience game model was constructed, incorporating feature embedding and attention mechanisms into the Deep Knowledge Tracing (DKT) algorithm.
• Bayesian Networks (BN) were utilized for Probabilistic Reasoning (PR) to assess learners' knowledge mastery within the game.
• The model's effectiveness was evaluated based on entrepreneurship education scores, prediction accuracy, information coverage, feedback quality, and student adaptability compared to traditional methods.

Main Results:

• The proposed game model achieved the highest entrepreneurship education score and prediction accuracy at 95.6% among tested models.
• Evaluation scale items demonstrated strong information coverage, with average indicator scores exceeding 4, indicating effective feedback.
• Student adaptability to the game-based model was 2%-11% higher than to traditional teaching methods, showing increased engagement and efficiency.

Conclusions:

• The game-based IE education model significantly enhances learning enthusiasm, adaptability, and efficiency.
• Real-time evaluation within the model allows for personalized learning adjustments, aligning performance with instructional goals.
• The study provides valuable insights for designing personalized and effective college IE education programs.