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Bios September 8, 2021

Bladimir Lopez-Prado

Database Coordinator IV, SRI Education

Bladimir Lopez-Prado is a research database coordinator at SRI Education, where his work focuses on managing, collecting, processing, manipulating and analyzing data to support the broad diversity of research projects within the division.

Lopez-Prado has extensive experience managing large, complex data sets and is skilled in extracting educational and demographic data from national and state databases, such as data from the National Center for Education Statistics, the U.S. Census Bureau and the California Department of Education’s Standardized Testing and Reporting (STAR) program. He supports data management, processing and analysis for more than 25 projects a year.

Before joining SRI, Lopez-Prado was a researcher and instructor at Chapingo Autonomous University in Chapingo, Mexico. He also worked as a research analyst for the Santa Clara County Office of Education in San Jose, California. Lopez-Prado earned his MBA in project evaluation from Michoacan State University in Morelia, Mexico. He received his BS in agricultural engineering/quantitative methods from Chapingo Autonomous University.

Key projects

  • Assessing Collaboration Through Innovative Vision Technology (ACTIVITY) Study
  • Automated Collaboration Skills Assessment
  • Verizon Innovative Learning

Recent Publications

  • Automated Student Group Collaboration Assessment and Recommendation System Using Individual Role and Behavioral Cue

    We propose simple CNN deep-learning models that take in spatio-temporal representations of individual student roles and behavior annotations as input for group collaboration assessment.

  • Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Role and Behavioral Cues

    In this paper we propose using simple temporal-CNN deep-learning models to assess student group collaboration that take in temporal representations of individual student roles as input.

  • Getting on the Same Page using Scenario-Based Learning: An Alignment of Education and Industry Goals for Technician Education

    The current report examines the alignment of a set of scenario-based learning materials with two sets of relevant industry standards.

Selected Publications

Education
2020

A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral Cues. Computer Vision – ECCV 2020 Workshops, 79–94

SRI Authors: Bladimir Lopez-Prado, Nonye Alozie

Education
2008

The Mediating Role of Coherence in Curriculum Implementation

SRI Authors: Bladimir Lopez-Prado, Chris Korbak

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