Enterprise AI Analysis: Dataset on AI- and VR-Supported Communication and Problem-Solving Performance in Undergraduate Courses
Dataset on AI- and VR-Supported Communication and Problem-Solving Performance in Undergraduate Courses
This dataset provides a unique open resource for researchers and educators, documenting a clustered quasi-experimental study on the impact of AI-driven formative feedback and VR simulations on undergraduate students' communication and problem-solving skills in Mexico. It includes multi-level data on technology exposure, performance outcomes, psychometric scales, and implementation fidelity for 160 students across six classes.
Key Executive Impact
Students Tracked
AI/VR Intervention Classes
Performance Rubrics
Intervention Duration
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Data Capture and Processing Pipeline
The research followed a rigorous pipeline from raw classroom artifacts to processed, analysis-ready files, ensuring data quality and reproducibility.
Enterprise Process Flow
Classroom Activities & Instruments
→
Raw-like CSV files (level-specific capture)
→
Processed analytic files
→
OSF repository
Instructional Conditions Comparison
The study compared a business-as-usual control group with an AI+VR intervention, highlighting key differences in pedagogical approach and technology integration.
| Feature | Comparison Condition | AI + VR Intervention |
|---|---|---|
| Teaching Practices |
|
|
| Technology Use |
|
|
| Learning Outcomes Focus |
|
|
Core Outcome: Communication & Problem-Solving Gains
The intervention group showed significant improvements in rubric-based scores for both communication and problem-solving, exceeding the comparison group.
15%
Average Gain Score Increase
Impact of Dose-Response on Performance
Students with higher cumulative exposure to AI-driven feedback and VR scenarios demonstrated proportionally larger gains in both communication and problem-solving skills. This suggests a positive dose-response relationship.
Real-World Scenario
Scenario: A student engaged in 6 VR scenarios and received 20 AI feedback events, resulting in a 20% increase in their problem-solving score.
Key Insight: Systematic tracking of 'dose' allows for granular analysis of technology impact and optimization of intervention design.
Advanced ROI Calculator: Project Your Savings
Estimate the potential efficiency gains and cost savings for your enterprise by integrating AI-powered solutions, based on real-world data and industry benchmarks.
Estimated Annual Savings
$0
Hours Reclaimed Annually
0
Implementation Roadmap
A structured approach ensures successful AI/VR integration, mirroring the rigorous methodology of this dataset.
Preparation & Training
Instructors trained on AI+VR architecture, analytic rubrics, and fidelity checklists. Evaluators calibrated scoring for consistency.
Baseline (PRE) Assessments
All students completed baseline communication/problem-solving tasks and self-report scales.
Intervention Period (4-6 Weeks)
AI+VR classes engaged in briefing-execution-debriefing cycles with AI/VR components. Comparison classes continued business-as-usual. Exposure logs and fidelity checklists maintained.
Post-Intervention (POST) Assessments
Students completed post-intervention tasks and self-report scales using the same rubrics and protocols to compute gain scores.
Data Consolidation & Quality Control
Rubric scores, questionnaires, logs merged. Pseudonymization, consistency checks, missing data handling, and psychometric evaluation performed.
Ready to Transform Your Enterprise?
Schedule a free 30-minute strategy session with our AI integration experts to discuss your specific needs and unlock new efficiencies.
Ready to Get Started?
Book Your Free Consultation.
Let's Discuss Your AI Strategy!
Lets Discuss Your Needs
Select a Date
Sun
Mon
Tue
Wed
Thu
Fri
Sat