short-paper

Automated detection of proactive remediation by teachers in reasoning mind classrooms

Authors:

William L. Miller,

Matthew J. Labrum,

Angela Z. WagnerAuthors Info & Claims

LAK '15: Proceedings of the Fifth International Conference on Learning Analytics And Knowledge

Pages 290 - 294

https://doi.org/10.1145/2723576.2723607

Published: 16 March 2015 Publication History

Abstract

Among the most important tasks of the teacher in a classroom using the Reasoning Mind blended learning system is proactive remediation: dynamically planned interventions conducted by the teacher with one or more students. While there are several examples of detectors of student behavior within an online learning environment, most have focused on behaviors occurring fully within the context of the system, and on student behaviors. In contrast, proactive remediation is a teacher-driven activity that occurs outside of the system, and its occurrence is not necessarily related to the student's current task within the Reasoning Mind system. We present a sensor-free detector of proactive remediation, which is able to distinguish these activities from other behaviors involving idle time, such as on-task conversation related to immediate learning activities and off-task behavior.

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Cited By

Kasmarik KKhani MAbpeikar SBarlow MCarter OIrish M(2024)Competence Awareness for Humans and Machines: A Survey and Future Research Directions from PsychologyACM Computing Surveys10.1145/368962657:1(1-26)Online publication date: 7-Oct-2024
https://dl.acm.org/doi/10.1145/3689626
Liu XGurung ABaker RBarany A(2024)Understanding the Impact of Observer Effects on Student AffectAdvances in Quantitative Ethnography10.1007/978-3-031-76332-8_7(79-94)Online publication date: 2-Nov-2024
https://doi.org/10.1007/978-3-031-76332-8_7
Sajid Mohammad SSaheal H(2023)A Sneak Peek into the Future of Artificial Intelligence in Education: Opportunities and ChallengesDigital Transformation in Education: Emerging Markets and Opportunities10.2174/9789815124750123010016(207-222)Online publication date: 21-Mar-2023
https://doi.org/10.2174/9789815124750123010016
Show More Cited By

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Automated detection of proactive remediation by teachers in reasoning mind classrooms

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cover image ACM Other conferences

LAK '15: Proceedings of the Fifth International Conference on Learning Analytics And Knowledge

March 2015

448 pages

ISBN:9781450334174

DOI:10.1145/2723576

Conference Chairs:
Josh Baron
Marist College
,
Grace Lynch
SoLAR
,
Nicole Maziarz
Marist College
,
Program Chairs:
Paulo Blikstein
Stanford University
,
Agathe Merceron
Beuth University of Applied Sciences Berlin
,
George Siemens
University of Texas at Arlington

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 March 2015

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Bill and Melinda Gates Foundation

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LAK '15

LAK '15: the 5th International Learning Analytics and Knowledge Conference

March 16 - 20, 2015

New York, Poughkeepsie

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LAK '15 Paper Acceptance Rate 20 of 74 submissions, 27%;

Overall Acceptance Rate 236 of 782 submissions, 30%

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Cited By

Kasmarik KKhani MAbpeikar SBarlow MCarter OIrish M(2024)Competence Awareness for Humans and Machines: A Survey and Future Research Directions from PsychologyACM Computing Surveys10.1145/368962657:1(1-26)Online publication date: 7-Oct-2024
https://dl.acm.org/doi/10.1145/3689626
Liu XGurung ABaker RBarany A(2024)Understanding the Impact of Observer Effects on Student AffectAdvances in Quantitative Ethnography10.1007/978-3-031-76332-8_7(79-94)Online publication date: 2-Nov-2024
https://doi.org/10.1007/978-3-031-76332-8_7
Sajid Mohammad SSaheal H(2023)A Sneak Peek into the Future of Artificial Intelligence in Education: Opportunities and ChallengesDigital Transformation in Education: Emerging Markets and Opportunities10.2174/9789815124750123010016(207-222)Online publication date: 21-Mar-2023
https://doi.org/10.2174/9789815124750123010016
Baker RHutt SBosch NOcumpaugh JBiswas GPaquette LAndres JNasiar NMunshi A(2023)Detector-driven classroom interviewing: focusing qualitative researcher time by selecting cases in situEducational technology research and development10.1007/s11423-023-10324-y72:5(2841-2863)Online publication date: 22-Dec-2023
https://doi.org/10.1007/s11423-023-10324-y
Holstein KAleven V(2022)Designing for human–AI complementarity in K‐12 educationAI Magazine10.1002/aaai.1205843:2(239-248)Online publication date: 23-Jun-2022
https://dl.acm.org/doi/10.1002/aaai.12058
Khachatryan G(2020)Instruction Modeling10.1093/oso/9780190910709.001.0001Online publication date: 21-May-2020
https://doi.org/10.1093/oso/9780190910709.001.0001
Aguilar SBaek CHsiao SCunningham JMcCarthy KLynch GBrooks CFerguson RHoppe U(2019)Motivated Information Seeking and Graph Comprehension Among College StudentsProceedings of the 9th International Conference on Learning Analytics & Knowledge10.1145/3303772.3303805(280-289)Online publication date: 4-Mar-2019
https://dl.acm.org/doi/10.1145/3303772.3303805
Kostyuk VAlmeda MBaker RPardo ABartimote-Aufflick KLynch GShum SFerguson RMerceron AOchoa X(2018)Correlating affect and behavior in reasoning mind with state test achievementProceedings of the 8th International Conference on Learning Analytics and Knowledge10.1145/3170358.3170378(26-30)Online publication date: 7-Mar-2018
https://dl.acm.org/doi/10.1145/3170358.3170378
(2017)Monitoring, awareness and reflection in blended technology enhanced learningInternational Journal of Technology Enhanced Learning10.5555/3124918.31249209:2-3(126-150)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.5555/3124918.3124920
Holstein KMcLaren BAleven VWise AWinne PLynch GOchoa XMolenaar IDawson SHatala M(2017)Intelligent tutors as teachers' aidesProceedings of the Seventh International Learning Analytics & Knowledge Conference10.1145/3027385.3027451(257-266)Online publication date: 13-Mar-2017
https://dl.acm.org/doi/10.1145/3027385.3027451
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