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Creators/Authors contains: "Gutierrez, Juan"

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  1. ; ; ; ; ; ; ; ; ; ; et al (, Springer Nature Switzerland)
    Free, publicly-accessible full text available June 30, 2026
  2. ; ; (, Journal of Computer Science Integration)
    In this study, College STEM Literacy Workers act as co-teachers in 9th and 10th grade classrooms alongside mathematics teachers as they both learn to integrate a 30-hour integrated computer science/mathematics curriculum. As part of the curriculum for educator learning, we adapted the Algebra Project’s “Model of Excellence” for culturally relevant-sustaining pedagogies. We used the framework to explore how teachers understand College STEM Literacy Workers’ contributions in the model as well as College STEM Literacy Workers’ own experiences in the classroom. We found that while teachers and College STEM Literacy Workers did not individually instantiate the model of excellence, they were able to achieve its constituent components between them. We explore differences between teachers and College STEM Literacy Workers and the ways in which they worked together. We end with implications for a new model of excellence. 
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    Full Text Available 
  3. ; ; ; ; ; ; ; ; ; ; et al (, Neurotherapeutics)
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  4. ; ; ; ; (, Int'l Conf. Frontiers in Education: CS and CE | FECS'17)
    We propose a System for Adaptive Interest-based Learning (SAIL) that utilizes community knowledge sharing (crowd-sourcing) strategies to empower adaptation of examples and practice problems based on students’ individual interests. Personalizing education based on interest can lead to increased intrinsic motivation and positive learning outcomes. While most studies have been conducted manually, adaptive learning technologies offer a new approach to widespread incorporation of adaptive interest-based materials. The difficulty in widespread implementation is the enormous effort required to create customized content. SAIL aims to provide a framework for educators to access and contribute adaptive materials via community knowledge sharing within an easy-to-use adaptive learning system. 
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    Accepted Manuscript Full Text Available
  5. ; ; ; ; (, 2016 International Conference on Computational Science and Computational Intelligence (CSCI))
    Computer Science (CS) seems to be everywhere - in our smartphones, apps, cars, watches and so much more. It is integrated into almost every discipline and has a growing importance in our daily lives, yet even with top salaries, exciting companies, and promising careers, the job market remains underpopulated and under-representative of women. Though its applications are everywhere, CS is an often misunderstood field due to lack of exposure and knowledge. This paper explores the misperception associated with Computer Science and examines the efforts to make it more inclusive by attracting women, introducing CS earlier at the K-12 level, and improving entry-level college courses. 
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    Full Text Available