Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Juan Miguel L Andres-Bray

Biographic Data

ID10197191
NAMEJuan Miguel L Andres-Bray
GIVEN NAMESJuan Miguel L
FAMILY NAMEAndres-Bray
SIGNATUREANDRES-BRAY J M L
AFFILIATIONSUniversity of Pennsylvania
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS1
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Gaming the system mediates the relationship between gender and learning outcomes in a digital learning game

    Open Access•Ryan S Baker, J Elizabeth Richey et al.•ARTICLE•Instructional Science•2025•Cited by: 1•References: 104

    Digital learning games have been increasingly adopted in classrooms to facilitate learning and to promote learning outcomes. Contrary to common beliefs, many digital learning games can be more effective for female students than male students in terms of learning and affective outcomes. However, the in-game learning mechanisms that explain these differences remain unclear. In the current study, we re-analyze three retrospective data sets drawn fro…

  • Controlled outputs, full data

    Open Access•Stephen Hutt, Ryan S Baker et al.•ARTICLE•British Journal of Educational…•2022

    Learning analytics research presents challenges for researchers embracing the principles of open science. Protecting student privacy is paramount, but progress in increasing scientific understanding and improving educational outcomes depends upon open, scalable and replicable research. Findings have repeatedly been shown to be contextually dependent on personal and demographic variables, so how can we use this data in a manner that is ethical and…

  • Gaming the system mediates the relationship between gender and learning outcomes in a digital learning game

    Open Access•Ryan S Baker, J Elizabeth Richey et al.•ARTICLE•Instructional Science•2025•Cited by: 1•References: 104

    Digital learning games have been increasingly adopted in classrooms to facilitate learning and to promote learning outcomes. Contrary to common beliefs, many digital learning games can be more effective for female students than male students in terms of learning and affective outcomes. However, the in-game learning mechanisms that explain these differences remain unclear. In the current study, we re-analyze three retrospective data sets drawn fro…

  • Controlled outputs, full data

    Open Access•Stephen Hutt, Ryan S Baker et al.•ARTICLE•British Journal of Educational…•2022

    Learning analytics research presents challenges for researchers embracing the principles of open science. Protecting student privacy is paramount, but progress in increasing scientific understanding and improving educational outcomes depends upon open, scalable and replicable research. Findings have repeatedly been shown to be contextually dependent on personal and demographic variables, so how can we use this data in a manner that is ethical and…

  • Gaming the system mediates the relationship between gender and learning outcomes in a digital learning game

    Open Access•Ryan S Baker, J Elizabeth Richey et al.•ARTICLE•Instructional Science•2025•Cited by: 1•References: 104

    Digital learning games have been increasingly adopted in classrooms to facilitate learning and to promote learning outcomes. Contrary to common beliefs, many digital learning games can be more effective for female students than male students in terms of learning and affective outcomes. However, the in-game learning mechanisms that explain these differences remain unclear. In the current study, we re-analyze three retrospective data sets drawn fro…

Computer Science (2 works) · Online Learning and Analytics (2 works) · Analytics (1 works) · Big data (1 works) · Data science (1 works) · Data sharing (1 works) · Digital Learning (1 works) · Disengagement theory (1 works) · Documentation (1 works) · Educational game (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae