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Student empowerment, awareness, and self-regulation through a quantified-self student tool

Authors:

Kimberly E. Arnold,

Brandon Karcher,

Casey V. Wright,

James McKayAuthors Info & Claims

LAK '17: Proceedings of the Seventh International Learning Analytics & Knowledge Conference

Pages 526 - 527

https://doi.org/10.1145/3027385.3029434

Published: 13 March 2017 Publication History

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Abstract

The purpose of this paper is to examine the cross institutional use of a quantified-self application called Pattern, which is designed to promote self-regulation and reflective learning in learners. This paper provides a brief look into how learners report spending their time and react to in-app recommendations. Initial data is encouraging; however, there are limitations of Pattern, and additional research and development must be undertaken.

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Cited By

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Payne ACompton MKennedy S(2023)Supporting And Humanising Behavioural Change without the Behaviourism: Digital Footprints, Learning Analytics and NudgesHuman Data Interaction, Disadvantage and Skills in the Community10.1007/978-3-031-31875-7_7(111-131)Online publication date: 1-Aug-2023
https://doi.org/10.1007/978-3-031-31875-7_7
Heikkinen SSaqr MMalmberg JTedre M(2022)Supporting self-regulated learning with learning analytics interventions – a systematic literature reviewEducation and Information Technologies10.1007/s10639-022-11281-428:3(3059-3088)Online publication date: 8-Sep-2022
https://doi.org/10.1007/s10639-022-11281-4
Du JHew K(2021)Using recommender systems to promote self-regulated learning in online education settings: current knowledge gaps and suggestions for future researchJournal of Research on Technology in Education10.1080/15391523.2021.189790554:4(557-580)Online publication date: 19-Mar-2021
https://doi.org/10.1080/15391523.2021.1897905
Show More Cited By

Index Terms

Student empowerment, awareness, and self-regulation through a quantified-self student tool
1. Applied computing
  1. Education
    1. E-learning
    2. Interactive learning environments
2. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Information visualization

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Information

Published In

LAK '17: Proceedings of the Seventh International Learning Analytics & Knowledge Conference

March 2017

631 pages

ISBN:9781450348706

DOI:10.1145/3027385

General Chairs:
Alyssa Wise
New York University, USA
,
Phillip H. Winne
Simon Fraser University, Canada
,
Grace Lynch
Society for Learning Analytics Research
,
Program Chairs:
Xavier Ochoa
Escuela Superior Politecnica del Litoral, Ecuador
,
Inge Molenaar
Radboud University, The Netherlands
,
Shane Dawson
University of South Australia, Australia
,
Publications Chair:
Marek Hatala
Simon Fraser 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: 13 March 2017

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LAK '17

LAK '17: 7th International Learning Analytics and Knowledge Conference

March 13 - 17, 2017

British Columbia, Vancouver, Canada

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LAK '17 Paper Acceptance Rate 36 of 114 submissions, 32%;

Overall Acceptance Rate 236 of 782 submissions, 30%

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Payne ACompton MKennedy S(2023)Supporting And Humanising Behavioural Change without the Behaviourism: Digital Footprints, Learning Analytics and NudgesHuman Data Interaction, Disadvantage and Skills in the Community10.1007/978-3-031-31875-7_7(111-131)Online publication date: 1-Aug-2023
https://doi.org/10.1007/978-3-031-31875-7_7
Heikkinen SSaqr MMalmberg JTedre M(2022)Supporting self-regulated learning with learning analytics interventions – a systematic literature reviewEducation and Information Technologies10.1007/s10639-022-11281-428:3(3059-3088)Online publication date: 8-Sep-2022
https://doi.org/10.1007/s10639-022-11281-4
Du JHew K(2021)Using recommender systems to promote self-regulated learning in online education settings: current knowledge gaps and suggestions for future researchJournal of Research on Technology in Education10.1080/15391523.2021.189790554:4(557-580)Online publication date: 19-Mar-2021
https://doi.org/10.1080/15391523.2021.1897905
Ahad TBusch PBlount YPicoto W(2021) Bangladeshi ready‐made garment development via ubiquitous and mobile computing THE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES10.1002/isd2.1217087:4Online publication date: 22-Jan-2021
https://doi.org/10.1002/isd2.12170
Li SLiu ZZhang YLv QNiu XWang LZhang D(2020)WiBorderProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34118344:3(1-30)Online publication date: 4-Sep-2020
https://dl.acm.org/doi/10.1145/3411834
Zhang XWang WXiao XYang HZhang XJiang T(2020)Peer-to-Peer Localization for Single-Antenna DevicesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34118334:3(1-25)Online publication date: 4-Sep-2020
https://dl.acm.org/doi/10.1145/3411833
Gao NShao WRahaman MSalim F(2020)n-GageProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34118134:3(1-26)Online publication date: 4-Sep-2020
https://dl.acm.org/doi/10.1145/3411813
Chen ZCao HWang HXu FKostakos VLi Y(2020)Will You Come Back / Check-in Again?Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34118124:3(1-27)Online publication date: 4-Sep-2020
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Naranjo DPrieto JMoltó GCalatrava A(2019)A Visual Dashboard to Track Learning Analytics for Educational Cloud ComputingSensors10.3390/s1913295219:13(2952)Online publication date: 4-Jul-2019
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Karcher BHolloway BPierson B(2019)Engineering Education and Quantified Self: Utilizing a Student-Centered Learning Analytics Tool to Improve Student Success2019 ASEE Annual Conference & Exposition Proceedings10.18260/1-2--32723Online publication date: Jun-2019
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Recommendations

Affective Support for Self-Regulation in Mobile-Assisted Language Learning

Effects of Learning Analytics on Students' Self-Regulated Learning in Flipped Classroom

Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses

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