Enterprise AI Analysis
Escape from mathematical-skill deficiencies: gamified interactive platforms to reinforce quantitative skills
This study analyzes the design and implementation of Escape Room platforms as an educational reinforcement strategy to address quantitative deficiencies among students entering university programs in Economics and Business. These deficiencies, rooted in shortcomings of the pre-university curriculum, hinder students' ability to develop essential academic competencies, thereby limiting their performance in these disciplines. To mitigate this issue, the entire Spanish mathematical Secondary Education curriculum leading to these degrees was analyzed, and four interactive Escape Rooms were developed using Genially. These platforms focus on basic Mathematical Operations, Matrix Algebra, Functions, and Derivatives. They are designed to support autonomous, flexible, and adaptive learning, addressing individual student needs while remaining accessible to educators through Genially's user-friendly interface. This accessibility minimizes adoption barriers for instructors, such as the cost of expensive licenses and the need for programming skills.
Executive Impact: Key Research Metrics
Quantifying the transformational potential of adaptive gamified learning environments.
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Overall Potential Gain (Hake's Index)
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Gender Gap Reduction
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Avg. Quantitative Skill Improvement
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Avg. Recommendation Score (out of 10)
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
4.05 points
Average Improvement on Mathematical Operations
The 85 students who completed Platform I (Mathematical Operations) improved their overall QS level by an average of 4.05 points (out of 10), with a very large effect size (d = 1.32, 95%CI [1.03, 1.61]). This effect size demonstrates the platform's effectiveness in reinforcing basic arithmetic content.
Mathematical Operations Sections
Powers and roots
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Algebraic expressions
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Equations
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Linear equation systems
2.94 points
Average Improvement on Matrix Algebra
Platform II, focused on Matrix Algebra, was completed by 84 students. These students showed a significant improvement of 2.94 points (out of 10) in this quantitative area, corresponding to a large effect size (d=0.80, 95%CI [0.55, 1.04]). Items Q8 and Q10 showed particularly notable gains, with accuracy rates doubling compared to the Pretest.
Matrix Algebra Sections
Matrices
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Determinants
2.95 points
Average Improvement on Functions
Knowledge related to Mathematical Functions (Platform III) also showed a significant improvement among the 106 students who completed it, with an average gain of 2.95 points (out of 10) and large effect sizes (d=1.07, 95%CI [0.83, 1.31]). However, while three of the questions showed improvements of around 50% in response accuracy after the intervention, the remaining items exhibited more modest gains.
Functions Sections
Functions and graphics
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Functions and logarithms expressions
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Limits
4.13 points
Average Improvement on Derivatives
Finally, Platform IV, focused on Derivatives, yielded the largest improvement, with an average increase of 4.13 points and a large effect size (d = 0.91, 95%CI [0.67, 1.13]). Both questions showed clear progress, indicating the platform's high effectiveness in reinforcing differential calculus concepts.
Derivatives Sections
Concept of derivative
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Rules for derivatives
0.55 points
Improvement per Additional Platform
The dose-response analysis revealed a significant linear relationship between the level of engagement with the platforms and students' final academic performance. The multiple linear regression model showed that completing an additional platform was associated with an increase of approximately 0.55 points in the QS Posttest, holding other variables constant. A plateau effect emerged beyond three platforms, suggesting an optimal cost-benefit threshold around three platforms.
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Your AI Implementation Roadmap
A typical journey to integrate AI-powered solutions into your enterprise, inspired by successful educational technology implementations.
Phase 1: Needs Analysis & Platform Design
Identify quantitative skill gaps and pedagogical requirements. Design adaptive learning pathways and gamified elements based on curriculum analysis and student needs.
Phase 2: Content Development & Gamification
Develop interactive exercises, theoretical explanations, and feedback mechanisms. Implement these using user-friendly tools like Genially, crafting engaging narratives and puzzles.
Phase 3: Pilot Implementation & Data Collection
Integrate platforms into the learning environment for a pilot group. Collect data on student engagement, pre/post performance, and satisfaction through diagnostic tests and surveys.
Phase 4: Performance Analysis & Refinement
Analyze the impact on academic performance and dose-response effects. Use findings to refine instructional design, platform features, and expand the intervention across broader contexts.
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