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Estimating student workload during the learning design of online courses: Creating a student workload calculator

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Published

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Estimating student workload during the learning design of online courses : Creating a student workload calculator. / Beer, N.

Proceedings of the 18th European Conference on e-Learning ECEL 2019. ed. / Rikke Orngreen; Mie Buhl; Bente Meyer. Reading : Academic Conferences and Publishing International Limited, 2019. p. 629-638.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Beer, N 2019, Estimating student workload during the learning design of online courses: Creating a student workload calculator. in R Orngreen, M Buhl & B Meyer (eds), Proceedings of the 18th European Conference on e-Learning ECEL 2019. Academic Conferences and Publishing International Limited, Reading, pp. 629-638. https://doi.org/10.34190/EEL.19.118

APA

Beer, N. (2019). Estimating student workload during the learning design of online courses: Creating a student workload calculator. In R. Orngreen, M. Buhl, & B. Meyer (Eds.), Proceedings of the 18th European Conference on e-Learning ECEL 2019 (pp. 629-638). Academic Conferences and Publishing International Limited. https://doi.org/10.34190/EEL.19.118

Vancouver

Beer N. Estimating student workload during the learning design of online courses: Creating a student workload calculator. In Orngreen R, Buhl M, Meyer B, editors, Proceedings of the 18th European Conference on e-Learning ECEL 2019. Reading: Academic Conferences and Publishing International Limited. 2019. p. 629-638 https://doi.org/10.34190/EEL.19.118

Author

Beer, N. / Estimating student workload during the learning design of online courses : Creating a student workload calculator. Proceedings of the 18th European Conference on e-Learning ECEL 2019. editor / Rikke Orngreen ; Mie Buhl ; Bente Meyer. Reading : Academic Conferences and Publishing International Limited, 2019. pp. 629-638

Bibtex

@inproceedings{6ce41c139b2542869db8952fe56c680a,
title = "Estimating student workload during the learning design of online courses: Creating a student workload calculator",
abstract = "UK university students are expected to undertake 10 hours of work for each Credit Accumulation and Transfer Scheme (CATS) credit. With face-to-face learning, this is relatively easy to quantify as x hours of contact time and the remainder made up of independent study. For online and distance learning, this is more complex. Study materials are provided for students to work through independently, but unlike face-to-face where the class ends after an hour or two, online students could continue working indefinitely. Some students will inevitably take longer than others to complete tasks, and it is therefore more difficult to ensure student workload in online courses is proportionate to the credits awarded. This paper provides a means to calculate student workload in online courses via a workload calculator, derived from a review of the literature and available at http://bit.ly/postgradworkload. It uses Laurillard{\textquoteright}s (2009, 2013) conversational framework activity types to categorise online course materials into task types, and provides a means of estimating the time it would take an average student to complete each task, for use in informing the design of online courses. For those task types that cannot be accurately estimated it is recommended to provide guidance on how long a student should spend on the task within the learning materials.",
keywords = "Student workload, Online Learning, Distance learning, Learning design",
author = "N. Beer",
year = "2019",
month = nov
day = "7",
doi = "10.34190/EEL.19.118",
language = "English",
isbn = "9781912764426",
pages = "629--638",
editor = "Rikke Orngreen and Mie Buhl and Bente Meyer",
booktitle = "Proceedings of the 18th European Conference on e-Learning ECEL 2019",
publisher = "Academic Conferences and Publishing International Limited",

}

RIS

TY - GEN

T1 - Estimating student workload during the learning design of online courses

T2 - Creating a student workload calculator

AU - Beer, N.

PY - 2019/11/7

Y1 - 2019/11/7

N2 - UK university students are expected to undertake 10 hours of work for each Credit Accumulation and Transfer Scheme (CATS) credit. With face-to-face learning, this is relatively easy to quantify as x hours of contact time and the remainder made up of independent study. For online and distance learning, this is more complex. Study materials are provided for students to work through independently, but unlike face-to-face where the class ends after an hour or two, online students could continue working indefinitely. Some students will inevitably take longer than others to complete tasks, and it is therefore more difficult to ensure student workload in online courses is proportionate to the credits awarded. This paper provides a means to calculate student workload in online courses via a workload calculator, derived from a review of the literature and available at http://bit.ly/postgradworkload. It uses Laurillard’s (2009, 2013) conversational framework activity types to categorise online course materials into task types, and provides a means of estimating the time it would take an average student to complete each task, for use in informing the design of online courses. For those task types that cannot be accurately estimated it is recommended to provide guidance on how long a student should spend on the task within the learning materials.

AB - UK university students are expected to undertake 10 hours of work for each Credit Accumulation and Transfer Scheme (CATS) credit. With face-to-face learning, this is relatively easy to quantify as x hours of contact time and the remainder made up of independent study. For online and distance learning, this is more complex. Study materials are provided for students to work through independently, but unlike face-to-face where the class ends after an hour or two, online students could continue working indefinitely. Some students will inevitably take longer than others to complete tasks, and it is therefore more difficult to ensure student workload in online courses is proportionate to the credits awarded. This paper provides a means to calculate student workload in online courses via a workload calculator, derived from a review of the literature and available at http://bit.ly/postgradworkload. It uses Laurillard’s (2009, 2013) conversational framework activity types to categorise online course materials into task types, and provides a means of estimating the time it would take an average student to complete each task, for use in informing the design of online courses. For those task types that cannot be accurately estimated it is recommended to provide guidance on how long a student should spend on the task within the learning materials.

KW - Student workload

KW - Online Learning

KW - Distance learning

KW - Learning design

U2 - 10.34190/EEL.19.118

DO - 10.34190/EEL.19.118

M3 - Conference contribution/Paper

SN - 9781912764426

SP - 629

EP - 638

BT - Proceedings of the 18th European Conference on e-Learning ECEL 2019

A2 - Orngreen, Rikke

A2 - Buhl, Mie

A2 - Meyer, Bente

PB - Academic Conferences and Publishing International Limited

CY - Reading

ER -