abstract

Adage: an open API for data collection in educational games

Authors:

Mark E. Stenerson,

Allison Salmon,

Matthew Berland,

Kurt SquireAuthors Info & Claims

CHI PLAY '14: Proceedings of the first ACM SIGCHI annual symposium on Computer-human interaction in play

Pages 437 - 438

https://doi.org/10.1145/2658537.2661325

Published: 19 October 2014 Publication History

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Abstract

In an attempt to provide academic game development studios with an efficient and low-cost data collection system that can be used across multiple games, the Assessment Data Aggregator for Gaming Environments (ADAGE) framework is currently being designed and developed by the University of Wisconsin and the Learning Games Network, in tandem with the Play Data Consortium [1, 8]. The developers of ADAGE hope that the open-source nature of the project will encourage collaboration across the multiple academic institutions currently developing and investigating the use of video games as educational tools.

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Owen, V., and Halverson, R. Adage (assessment data aggregator for game environments): A click-steam data framework for assessment of learning in play. In Proceedings of the 9th Annual Games+Learning+Society Conference, ETC Press (Pittsburgh, PA, USA, 2013).

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Cited By

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Swanson LGagnon D(2024)An Architecture for Repeatable, Large-Scale Educational Game Data Analysis: Building on Open Game DataSerious Games10.1007/978-3-031-74138-8_4(41-55)Online publication date: 7-Nov-2024
https://dl.acm.org/doi/10.1007/978-3-031-74138-8_4
Owen VHughes D(2019)Bridging Two Worlds: Principled Game-Based Assessment in Industry for Playful Learning at ScaleGame-Based Assessment Revisited10.1007/978-3-030-15569-8_12(229-256)Online publication date: 6-Nov-2019
https://doi.org/10.1007/978-3-030-15569-8_12
Kral TStodola DBirn RMumford JSolis EFlook LPatsenko EAnderson CSteinkuehler CDavidson R(2018)Neural correlates of video game empathy training in adolescents: a randomized trialnpj Science of Learning10.1038/s41539-018-0029-63:1Online publication date: 7-Aug-2018
https://doi.org/10.1038/s41539-018-0029-6
Show More Cited By

Index Terms

Adage: an open API for data collection in educational games
1. Applied computing
  1. Education
    1. Computer-assisted instruction
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods

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Information & Contributors

Information

Published In

CHI PLAY '14: Proceedings of the first ACM SIGCHI annual symposium on Computer-human interaction in play

October 2014

492 pages

ISBN:9781450330145

DOI:10.1145/2658537

General Chair:
Lennart E. Nacke
University of Ontario Institute of Technology, Canada
,
Program Chair:
T.C. Nicholas Graham
Queen's University, Canada

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 October 2014

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Abstract

Funding Sources

Division of Research on Learning in Formal and Informal Settings

Conference

CHI PLAY '14

Sponsor:

SIGCHI

CHI PLAY '14: The annual symposium on Computer-Human Interaction in Play

October 19 - 21, 2014

Ontario, Toronto, Canada

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CHI PLAY '14 Paper Acceptance Rate 30 of 104 submissions, 29%;

Overall Acceptance Rate 421 of 1,386 submissions, 30%

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Cited By

View all

Swanson LGagnon D(2024)An Architecture for Repeatable, Large-Scale Educational Game Data Analysis: Building on Open Game DataSerious Games10.1007/978-3-031-74138-8_4(41-55)Online publication date: 7-Nov-2024
https://dl.acm.org/doi/10.1007/978-3-031-74138-8_4
Owen VHughes D(2019)Bridging Two Worlds: Principled Game-Based Assessment in Industry for Playful Learning at ScaleGame-Based Assessment Revisited10.1007/978-3-030-15569-8_12(229-256)Online publication date: 6-Nov-2019
https://doi.org/10.1007/978-3-030-15569-8_12
Kral TStodola DBirn RMumford JSolis EFlook LPatsenko EAnderson CSteinkuehler CDavidson R(2018)Neural correlates of video game empathy training in adolescents: a randomized trialnpj Science of Learning10.1038/s41539-018-0029-63:1Online publication date: 7-Aug-2018
https://doi.org/10.1038/s41539-018-0029-6
Kumar VTissenbaum MBerland MWise AWinne PLynch GOchoa XMolenaar IDawson SHatala M(2017)What are visitors up to?Proceedings of the Seventh International Learning Analytics & Knowledge Conference10.1145/3027385.3029456(558-559)Online publication date: 13-Mar-2017
https://dl.acm.org/doi/10.1145/3027385.3029456
Martin TBrasiel SJeong SClose KLawanto KJanisciewcz PHaywood JAleven VKay JRoll I(2016)Macro Data for Micro LearningProceedings of the Third (2016) ACM Conference on Learning @ Scale10.1145/2876034.2893422(233-236)Online publication date: 25-Apr-2016
https://dl.acm.org/doi/10.1145/2876034.2893422
Lyons LTissenbaum MBerland MEydt RWielgus LMechtley ABers MRevelle G(2015)Designing visible engineeringProceedings of the 14th International Conference on Interaction Design and Children10.1145/2771839.2771845(49-58)Online publication date: 21-Jun-2015
https://dl.acm.org/doi/10.1145/2771839.2771845

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A spatiotemporal visualization approach for the analysis of gameplay data

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