An active viewing framework for video-based learning

Samuel Dodson; Ido Roll; Matthew Fong; Dongwook Yoon; Negar M. Harandi; Sidney Fels

doi:10.1145/3231644.3231682

An active viewing framework for video-based learning

Samuel Dodson
, Ido Roll
, Matthew Fong
, Dongwook Yoon
, Negar M. Harandi
, Sidney Fels

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Video-based learning is most effective when students are engaged with video content; however, the literature has yet to identify students' viewing behaviors and ground them in theory. This paper addresses this need by introducing a framework of active viewing, which is situated in an established model of active learning to describe students' behaviors while learning from video. We conducted a field study with 460 undergraduates in an Applied Science course using a video player designed for active viewing to evaluate how students engage in passive and active video-based learning. The concept of active viewing, and the role of interactive, constructive, active, and passive behaviors in videobased learning, can be implemented in the design and evaluation of video players.

Original language	English
Title of host publication	Proceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018
ISBN (Electronic)	9781450358866
DOIs	https://doi.org/10.1145/3231644.3231682
State	Published - 26 Jun 2018
Externally published	Yes
Event	5th Annual ACM Conference on Learning at Scale, L at S 2018 - London, United Kingdom Duration: 26 Jun 2018 → 28 Jun 2018

Publication series

Name	Proceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018

Conference

Conference	5th Annual ACM Conference on Learning at Scale, L at S 2018
Country/Territory	United Kingdom
City	London
Period	26/06/18 → 28/06/18

Keywords

Active Viewing
Annotation
Video-Based Learning

ASJC Scopus subject areas

Computer Networks and Communications
Education
Software
Computer Science Applications

Access to Document

10.1145/3231644.3231682

Cite this

@inproceedings{deadf7a4b51847ed90943341ea856042,

title = "An active viewing framework for video-based learning",

abstract = "Video-based learning is most effective when students are engaged with video content; however, the literature has yet to identify students' viewing behaviors and ground them in theory. This paper addresses this need by introducing a framework of active viewing, which is situated in an established model of active learning to describe students' behaviors while learning from video. We conducted a field study with 460 undergraduates in an Applied Science course using a video player designed for active viewing to evaluate how students engage in passive and active video-based learning. The concept of active viewing, and the role of interactive, constructive, active, and passive behaviors in videobased learning, can be implemented in the design and evaluation of video players.",

keywords = "Active Viewing, Annotation, Video-Based Learning",

author = "Samuel Dodson and Ido Roll and Matthew Fong and Dongwook Yoon and Harandi, \{Negar M.\} and Sidney Fels",

note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery. All rights reserved.; 5th Annual ACM Conference on Learning at Scale, L at S 2018 ; Conference date: 26-06-2018 Through 28-06-2018",

year = "2018",

month = jun,

day = "26",

doi = "10.1145/3231644.3231682",

language = "English",

series = "Proceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018",

booktitle = "Proceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018",

}

Dodson, S, Roll, I, Fong, M, Yoon, D, Harandi, NM & Fels, S 2018, An active viewing framework for video-based learning. in Proceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018., 24, Proceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018, 5th Annual ACM Conference on Learning at Scale, L at S 2018, London, United Kingdom, 26/06/18. https://doi.org/10.1145/3231644.3231682

An active viewing framework for video-based learning. / Dodson, Samuel; Roll, Ido; Fong, Matthew et al.
Proceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018. 2018. 24 (Proceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An active viewing framework for video-based learning

AU - Dodson, Samuel

AU - Roll, Ido

AU - Fong, Matthew

AU - Yoon, Dongwook

AU - Harandi, Negar M.

AU - Fels, Sidney

PY - 2018/6/26

Y1 - 2018/6/26

N2 - Video-based learning is most effective when students are engaged with video content; however, the literature has yet to identify students' viewing behaviors and ground them in theory. This paper addresses this need by introducing a framework of active viewing, which is situated in an established model of active learning to describe students' behaviors while learning from video. We conducted a field study with 460 undergraduates in an Applied Science course using a video player designed for active viewing to evaluate how students engage in passive and active video-based learning. The concept of active viewing, and the role of interactive, constructive, active, and passive behaviors in videobased learning, can be implemented in the design and evaluation of video players.

AB - Video-based learning is most effective when students are engaged with video content; however, the literature has yet to identify students' viewing behaviors and ground them in theory. This paper addresses this need by introducing a framework of active viewing, which is situated in an established model of active learning to describe students' behaviors while learning from video. We conducted a field study with 460 undergraduates in an Applied Science course using a video player designed for active viewing to evaluate how students engage in passive and active video-based learning. The concept of active viewing, and the role of interactive, constructive, active, and passive behaviors in videobased learning, can be implemented in the design and evaluation of video players.

KW - Active Viewing

KW - Annotation

KW - Video-Based Learning

UR - https://www.scopus.com/pages/publications/85051500552

U2 - 10.1145/3231644.3231682

DO - 10.1145/3231644.3231682

M3 - Conference contribution

T3 - Proceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018

BT - Proceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018

T2 - 5th Annual ACM Conference on Learning at Scale, L at S 2018

Y2 - 26 June 2018 through 28 June 2018

ER -

An active viewing framework for video-based learning

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this