Author: SRI International
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Issues in Algorithm Characterization for Link Analysis
In this paper, we outline techniques for modeling algorithms that allow a system architecture to reason about their behavior and performance, individually and in combination.
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Implementing Reading and Mathematics Software
This study explored software implementation issues through case study of a subset of the schools participating in the EETI experiment.
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Build IT Curriculum
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Learning Theories And Education: Toward A Decade Of Synergy
Our goal is to provide an overview of important aspects of human learning that are particularly relevant to educators.
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Recruiting Middle School Girls Into It: Data On Girls’ Perceptions And Experiences From A Mixed Demographic Group
This chapter contains sections titled: Literature Review, Research on Recruiting, Research on Career Aspirations, Research Method, Findings, Discussion and Implications, Conclusion, Notes.
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Addressing The Testing Challenge With A Web-Based E-Assessment System That Tutors As It Assesses
Our hypothesis is that we can achieve more accurate assessment by not only using data on whether students get test items right or wrong, but by also using data on the effort required for students to learn how to solve a test item.
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Washington State Achievers Scholarship Program Case Study: Final Report
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Recent Innovations in Speech-to-Text Transcription at SRI-ICSI-UW
We summarize recent progress in automatic speech-to-text transcription at SRI, ICSI, and the University of Washington. The work encompasses all components of speech modeling found in a state-of-the-art recognition system, from acoustic features, to acoustic modeling and adaptation, to language modeling.
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Report On Sample Characteristics For The Tides Project
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A Wizard For Padi Assessment Design (Padi Technical Report 11)
In a first prototype, we implemented a wizard that prompts for some selection criteria, eventually matching the answers supplied by the interviewee to an existing template that already has a substantial amount of information entered.
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Predicting State Test Scores Better With Intelligent Tutoring Systems: Developing Metrics To Measure Assistance Required
Our approach is to use data that the system collected through a year to tracking student learning and thus estimate their performance on a high-stake state test (MCAS) at the end of the year.
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Reducing Human Fatigue in Interactive Evolutionary Computation through Fuzzy Systems and Machine Learning Systems
We describe two approaches to reducing human fatigue in Interactive Evolutionary Computation (IEC). A predictor function is used to estimate the human user’s score, thus reducing the amount of effort required by the human user during the evolution process.