FutureMe: Negotiating Learning Goals with your Future Learning-Self Avatar

Konstantinos Tsiakas; Deborah Cnossen; Tim H.C. Muyrers; Danique R.C. Stappers; Romain H.A. Toebosch; Emilia Barakova

doi:10.1145/3453892.3461008

FutureMe: Negotiating Learning Goals with your Future Learning-Self Avatar

Konstantinos Tsiakas
, Deborah Cnossen
, Tim H.C. Muyrers
, Danique R.C. Stappers
, Romain H.A. Toebosch
, Emilia Barakova

Industrial Design

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

2 Citations (Scopus)

8 Downloads (Pure)

Abstract

This paper discusses the challenges towards designing an educational avatar which visualizes the future learning-self of the student in order to promote their self-regulated learning skills. More specifically, the avatar follows a negotiation-based interaction with the student during the goal-setting process of self-regulated learning. The goal of the avatar is to help the student get insights of their possible future leaning-selves, given a set of short-term goals regarding their study materials and homework. Our approach utilizes a recurrent neural network as the underlying prediction model for the future learning outcomes, in the context of language learning.

Original language	English
Title of host publication	PETRA '21
Subtitle of host publication	Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc.
Pages	262-263
Number of pages	2
ISBN (Electronic)	978-1-4503-8792-7
DOIs	https://doi.org/10.1145/3453892.3461008
Publication status	Published - 29 Jun 2021
Event	14th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2021 - Virtual, Online, Greece Duration: 29 Jun 2021 → 1 Jul 2021

Conference

Conference	14th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2021
Country/Territory	Greece
City	Virtual, Online
Period	29/06/21 → 1/07/21

Keywords

educational avatars
future-self
language learning
self-regulated learning
student modeling

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10.1145/3453892.3461008

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Tsiakas, K., Cnossen, D., Muyrers, T. H. C., Stappers, D. R. C., Toebosch, R. H. A., & Barakova, E. (2021). FutureMe: Negotiating Learning Goals with your Future Learning-Self Avatar. In PETRA '21: Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference (pp. 262-263). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3453892.3461008

@inproceedings{3c9c8a0ab5684f6cbe097c8ffc941a0f,

title = "FutureMe: Negotiating Learning Goals with your Future Learning-Self Avatar",

abstract = "This paper discusses the challenges towards designing an educational avatar which visualizes the future learning-self of the student in order to promote their self-regulated learning skills. More specifically, the avatar follows a negotiation-based interaction with the student during the goal-setting process of self-regulated learning. The goal of the avatar is to help the student get insights of their possible future leaning-selves, given a set of short-term goals regarding their study materials and homework. Our approach utilizes a recurrent neural network as the underlying prediction model for the future learning outcomes, in the context of language learning.",

keywords = "educational avatars, future-self, language learning, self-regulated learning, student modeling",

author = "Konstantinos Tsiakas and Deborah Cnossen and Muyrers, \{Tim H.C.\} and Stappers, \{Danique R.C.\} and Toebosch, \{Romain H.A.\} and Emilia Barakova",

year = "2021",

month = jun,

day = "29",

doi = "10.1145/3453892.3461008",

language = "English",

pages = "262--263",

booktitle = "PETRA '21",

publisher = "Association for Computing Machinery, Inc.",

address = "United States",

note = "14th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2021 ; Conference date: 29-06-2021 Through 01-07-2021",

}

Tsiakas, K, Cnossen, D, Muyrers, THC, Stappers, DRC, Toebosch, RHA & Barakova, E 2021, FutureMe: Negotiating Learning Goals with your Future Learning-Self Avatar. in PETRA '21: Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference. Association for Computing Machinery, Inc., New York, pp. 262-263, 14th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2021, Virtual, Online, Greece, 29/06/21. https://doi.org/10.1145/3453892.3461008

FutureMe: Negotiating Learning Goals with your Future Learning-Self Avatar. / Tsiakas, Konstantinos; Cnossen, Deborah; Muyrers, Tim H.C. et al.
PETRA '21: Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference. New York: Association for Computing Machinery, Inc., 2021. p. 262-263.

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

TY - GEN

T1 - FutureMe

T2 - 14th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2021

AU - Tsiakas, Konstantinos

AU - Cnossen, Deborah

AU - Muyrers, Tim H.C.

AU - Stappers, Danique R.C.

AU - Toebosch, Romain H.A.

AU - Barakova, Emilia

PY - 2021/6/29

Y1 - 2021/6/29

N2 - This paper discusses the challenges towards designing an educational avatar which visualizes the future learning-self of the student in order to promote their self-regulated learning skills. More specifically, the avatar follows a negotiation-based interaction with the student during the goal-setting process of self-regulated learning. The goal of the avatar is to help the student get insights of their possible future leaning-selves, given a set of short-term goals regarding their study materials and homework. Our approach utilizes a recurrent neural network as the underlying prediction model for the future learning outcomes, in the context of language learning.

AB - This paper discusses the challenges towards designing an educational avatar which visualizes the future learning-self of the student in order to promote their self-regulated learning skills. More specifically, the avatar follows a negotiation-based interaction with the student during the goal-setting process of self-regulated learning. The goal of the avatar is to help the student get insights of their possible future leaning-selves, given a set of short-term goals regarding their study materials and homework. Our approach utilizes a recurrent neural network as the underlying prediction model for the future learning outcomes, in the context of language learning.

KW - educational avatars

KW - future-self

KW - language learning

KW - self-regulated learning

KW - student modeling

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DO - 10.1145/3453892.3461008

M3 - Conference contribution

AN - SCOPUS:85109353030

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BT - PETRA '21

PB - Association for Computing Machinery, Inc.

CY - New York

Y2 - 29 June 2021 through 1 July 2021

ER -

FutureMe: Negotiating Learning Goals with your Future Learning-Self Avatar

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