research-article

Live interest meter: learning from quantified feedback in mass lectures

Authors:

Verónica Rivera-Pelayo,

Johannes Munk,

Valentin Zacharias,

Simone BraunAuthors Info & Claims

LAK '13: Proceedings of the Third International Conference on Learning Analytics and Knowledge

Pages 23 - 27

https://doi.org/10.1145/2460296.2460302

Published: 08 April 2013 Publication History

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Abstract

There is currently little or no support for speakers to learn by reflection when addressing a big audience, like mass lectures, virtual courses or conferences. Reliable feedback from the audience could improve personal skills and work performance. To address this shortcoming we have developed the Live Interest Meter App (LIM App) that supports the gathering, aggregation and visualization of feedback. This application allows audience members to easily provide and quantify their feedback through a simple meter. We conducted several experimental tests to investigate the acceptance and perceived usefulness of the LIM App and a user study in an academic setting to inform its further development. The results of the study illustriate the potential of the LIM App to be used in such scenarios. Main findings show the need for motivating students to use the application, the readiness of presenters to learn retrospectively, and distraction as the main concern of end users.

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Marino DDai JFortin PHenry MCooperstock J(2024)Co-Here: an expressive videoconferencing module for implicit affective interactionProceedings of the 50th Graphics Interface Conference10.1145/3670947.3670975(1-13)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3670947.3670975
Haliburton LSchött SHirsch LWelsch RSchmidt A(2023)Feeling the Temperature of the RoomProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35808207:1(1-21)Online publication date: 28-Mar-2023
https://dl.acm.org/doi/10.1145/3580820
Lu QZhang YZhang YMa SZhang YQin YGao PZhang QXu Y(2023)Atmospheror: Towards an Olfactory Interactive System for Enhancing Social Presence and Interaction in Synchronous Online ClassesExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585832(1-8)Online publication date: 19-Apr-2023
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Index Terms

Live interest meter: learning from quantified feedback in mass lectures
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education

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Published In

LAK '13: Proceedings of the Third International Conference on Learning Analytics and Knowledge

April 2013

300 pages

ISBN:9781450317856

DOI:10.1145/2460296

Editors:
Dan Suthers
University of Hawaii, USA
,
Katrien Verbert
Eindhoven University of Technology, The Netherlands
,
Erik Duval
University of Leuven, Belgium
,
Xavier Ochoa
Escuela Superior Politécnica del Litoral, Ecuador

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 ACM 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

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Published: 08 April 2013

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LAK '13

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SIGWEB
K.U. Leuven
SIGCHI

LAK '13: Third Conference on Learning Analytics and Knowledge

April 8 - 13, 2013

Leuven, Belgium

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LAK '13 Paper Acceptance Rate 16 of 58 submissions, 28%;

Overall Acceptance Rate 236 of 782 submissions, 30%

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Marino DDai JFortin PHenry MCooperstock J(2024)Co-Here: an expressive videoconferencing module for implicit affective interactionProceedings of the 50th Graphics Interface Conference10.1145/3670947.3670975(1-13)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3670947.3670975
Haliburton LSchött SHirsch LWelsch RSchmidt A(2023)Feeling the Temperature of the RoomProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35808207:1(1-21)Online publication date: 28-Mar-2023
https://dl.acm.org/doi/10.1145/3580820
Lu QZhang YZhang YMa SZhang YQin YGao PZhang QXu Y(2023)Atmospheror: Towards an Olfactory Interactive System for Enhancing Social Presence and Interaction in Synchronous Online ClassesExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585832(1-8)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585832
Chavan PMitra RSarkar APanwar A(2023)A contextualized assessment of reliability and validity of student-initiated momentary self-reports during lecturesEducational technology research and development10.1007/s11423-023-10304-2Online publication date: 29-Nov-2023
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Rosa RSilva LDamasceno E(2020)Uma Plataforma Digital para Coleta e Análise de Dados sobre o Enfrentamento do Câncer InfantilRevista de Tecnologia Aplicada10.48005/2237-3713rta2020v9n1p2744(27-44)Online publication date: 24-Nov-2020
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DEBE feedback for large lecture classroom analytics

LIM App: Reflecting on Audience Feedback for Improving Presentation Skills

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

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