Beetle-Grow: An Effective Intelligent Tutoring System to Support Conceptual Change

Elaine Farrow; Johanna D. Moore

doi:10.1145/2876034.2893403

Beetle-Grow: An Effective Intelligent Tutoring System to Support Conceptual Change

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

Abstract

We will demonstrate the Beetle-Grow intelligent tutoring system, which combines active experimentation, self-explanation, and formative feedback using natural language interaction. It runs in a standard web browser and has a fresh, engaging design. The underlying back-end system has previously been shown to be highly effective in teaching basic electricity and electronics concepts.Beetle-Grow has been designed to capture student interaction and indicators of learning in a form suitable for data mining, and to support future work on building tools for interactive tutoring that improve after experiencing interaction with students, as human tutors do.We are interested in partnering with teachers and other education researchers to carry out large-scale user trials with Beetle-Grow in the classroom and remotely.

Original language	English
Title of host publication	L@S '16 Proceedings of the Third (2016) ACM Conference on Learning @ Scale
Publisher	ACM
Pages	331-332
Number of pages	2
ISBN (Print)	978-1-4503-3726-7
DOIs	https://doi.org/10.1145/2876034.2893403
Publication status	Published - Apr 2016
Event	Third (2016) ACM Conference on Learning @ Scale - Edinburgh, United Kingdom Duration: 25 Apr 2016 → 26 Apr 2016 https://learningatscale.acm.org/las2016/

Conference

Conference	Third (2016) ACM Conference on Learning @ Scale
Abbreviated title	L@S 2016
Country/Territory	United Kingdom
City	Edinburgh
Period	25/04/16 → 26/04/16
Internet address	https://learningatscale.acm.org/las2016/

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final_beetleDemo-1Accepted author manuscript, 284 KB

http://dl.acm.org/citation.cfm?doid=2876034.2893403

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@inproceedings{dfc98d04e3824e9aacb4be99093b5467,

title = "Beetle-Grow: An Effective Intelligent Tutoring System to Support Conceptual Change",

abstract = "We will demonstrate the Beetle-Grow intelligent tutoring system, which combines active experimentation, self-explanation, and formative feedback using natural language interaction. It runs in a standard web browser and has a fresh, engaging design. The underlying back-end system has previously been shown to be highly effective in teaching basic electricity and electronics concepts.Beetle-Grow has been designed to capture student interaction and indicators of learning in a form suitable for data mining, and to support future work on building tools for interactive tutoring that improve after experiencing interaction with students, as human tutors do.We are interested in partnering with teachers and other education researchers to carry out large-scale user trials with Beetle-Grow in the classroom and remotely.",

author = "Elaine Farrow and Moore, {Johanna D.}",

year = "2016",

month = apr,

doi = "10.1145/2876034.2893403",

language = "English",

isbn = "978-1-4503-3726-7",

pages = "331--332",

booktitle = "L@S '16 Proceedings of the Third (2016) ACM Conference on Learning @ Scale",

publisher = "ACM",

note = "Third (2016) ACM Conference on Learning @ Scale, L@S 2016 ; Conference date: 25-04-2016 Through 26-04-2016",

url = "https://learningatscale.acm.org/las2016/",

}

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T1 - Beetle-Grow: An Effective Intelligent Tutoring System to Support Conceptual Change

AU - Farrow, Elaine

AU - Moore, Johanna D.

PY - 2016/4

Y1 - 2016/4

N2 - We will demonstrate the Beetle-Grow intelligent tutoring system, which combines active experimentation, self-explanation, and formative feedback using natural language interaction. It runs in a standard web browser and has a fresh, engaging design. The underlying back-end system has previously been shown to be highly effective in teaching basic electricity and electronics concepts.Beetle-Grow has been designed to capture student interaction and indicators of learning in a form suitable for data mining, and to support future work on building tools for interactive tutoring that improve after experiencing interaction with students, as human tutors do.We are interested in partnering with teachers and other education researchers to carry out large-scale user trials with Beetle-Grow in the classroom and remotely.

AB - We will demonstrate the Beetle-Grow intelligent tutoring system, which combines active experimentation, self-explanation, and formative feedback using natural language interaction. It runs in a standard web browser and has a fresh, engaging design. The underlying back-end system has previously been shown to be highly effective in teaching basic electricity and electronics concepts.Beetle-Grow has been designed to capture student interaction and indicators of learning in a form suitable for data mining, and to support future work on building tools for interactive tutoring that improve after experiencing interaction with students, as human tutors do.We are interested in partnering with teachers and other education researchers to carry out large-scale user trials with Beetle-Grow in the classroom and remotely.

U2 - 10.1145/2876034.2893403

DO - 10.1145/2876034.2893403

M3 - Conference contribution

SN - 978-1-4503-3726-7

SP - 331

EP - 332

BT - L@S '16 Proceedings of the Third (2016) ACM Conference on Learning @ Scale

PB - ACM

T2 - Third (2016) ACM Conference on Learning @ Scale

Y2 - 25 April 2016 through 26 April 2016

ER -

Beetle-Grow: An Effective Intelligent Tutoring System to Support Conceptual Change

Abstract

Conference

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