Spreadsheets and End-User Computing
External reference: https://openalex.org/T13197
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RAG Without the Lag: Enabling "What-If" Analysis for Retrieval-Augmented Generation Pipelines
Raggy enables rapid experimentation in retrieval-augmented generation pipelines through composable primitives and interactive debugging, reducing development friction.
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"We Still Use Spreadsheets." Understanding Business Decision-Makers' Perceptions and Barriers to AI Analytics
Study reveals why business leaders still prefer spreadsheets over AI analytics tools, identifying skill gaps and design barriers preventing adoption of advanced analytics platforms.
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GenAI-enabled vibe coding made simulation-based curriculum redesign accessible
Discover how generative AI enables educators to create interactive simulations without coding expertise. Learn the vibe coding approach transforming management education through accessible.
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Technology-enhanced teaching is increasingly used in operations management education
Systematic review of 101 studies examining how educational technologies and pedagogical innovations reshape operations management education, analyzing blended learning, digital tools, and.
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AI tools are changing how web developers work
Qualitative and quantitative study examining how web developers adopt AI tools, their efficiency gains, and persistent concerns about code quality and security vulnerabilities.
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Ritchy: Combining AI Automation with Human Quality Assurance in University IT Support
Ritchy chatbot combines RAG with human quality assurance at RWTH Aachen University IT support, achieving 76% satisfaction through weekly human review of all conversations.
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A Research Course to Develop AI Tools for K–12 Learning
University course integrating AI/ML software development with educational research training, producing tools for K-12 instruction through authentic school partnerships.
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Older adults still faced interaction challenges with voice assistants
Month-long in-home study examining how older adults interact with voice assistants, revealing persistent challenges despite LLM integration and proposing design considerations.
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Thompson sampling improved exercise recommendations for learner skill gain
Contextual Thompson sampling approach for personalizing exercise sequences in digital learning environments, optimizing skill advancement at scale using bandit-based algorithms.
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SmartUI: Human-in-the-Loop Editable Interface Generation through Semantic Structures
SmartUI enables human-in-the-loop UI generation through Figma integration, using structured semantic representations for editable, iterative design with 0.93 structure consistency.
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Dynamic Graph Generation from Excel Using Machine Learning Algorithm Data Visualization Dashboard
Automated pipeline for converting Excel spreadsheets to dynamic, publication-quality visualizations using machine learning chart recommendation and interactive dashboard functionality.
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NUS MSBA programme awarded INFORMS UPS George D. Smith Prize
NUS Master of Science in Business Analytics programme integrates structured industry collaboration and ACDIN pedagogy to bridge academia-industry gap, receiving INFORMS recognition.
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Retrieval-augmented Generation of Enhanced Trigger-action Programming Rules in Smart Home
Retrieval-augmented generation system for automated generation of complex trigger-action programming rules in smart home automation, achieving 84% accuracy through semantic exemplar matching.
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Report tracks institutional contributions to OR/MS practice literature
The 14th Rothkopf Rankings measure institutional contributions to operations research practice literature over 30 years, tracking how academic priorities in applied OR/MS research have evolved.
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P2P: From Prompt to Prototype - Functional UI Design with LLMs and MCP
Tutorial addressing the implementation gap in HCI research through LLM and MCP-enabled functional UI design, bridging conceptual design and deployable interfaces while maintaining accessibility.
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Beyond the Conversational Paradigm: Models, Design Principles, and Tools for Advancing the Spectrum of Human-LLM Interaction
Explore how LLM interfaces extend beyond conversations to integrate graphical elements. Research reveals user preferences vary by task, expertise, and context, enabling adaptive hybrid interface.
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No Code, No Cloud: On-Device Mockup-to-Code with Lightweight Vision-Language AI
Lightweight on-device vision-language model generating HTML from design mockups without cloud infrastructure, supporting private prototyping with 235M parameters achieving competitive results.
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NFL money line odds show pricing gaps
Study reveals NFL sportsbooks misprice money line underdog odds relative to spread odds, enabling conditional returns up to 6.55% and challenging market efficiency assumptions.
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Assessing the Critical Failure Factors of AI Chatbots for Research Using ISM Approach
Study using interpretive structural modeling to analyze critical failure factors of AI chatbots in academic research, revealing researcher knowledge deficiency as the primary constraint.
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Flobile: An LLM-Integrated Indexical Sensor and Display for Indoor Airflow Monitoring
Flobile combines pendulum-based sensing with AI analysis to detect and visualize invisible indoor airflow patterns, making imperceptible air currents perceptible through integrated hardware and.

