Automating immediate and personalized feedback: Taking conceptual modelling education to a next level

Estefania Serral; Jochen De Weerdt; Gayane Sedrakyan; Monique Snoeck

doi:10.1109/RCIS.2016.7549293

Automating immediate and personalized feedback: Taking conceptual modelling education to a next level

Estefania Serral
, Jochen De Weerdt
, Gayane Sedrakyan
, Monique Snoeck

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

24 Citations (Scopus)

Abstract

Providing individual and immediate feedback to students is a critical factor for improving knowledge and skills acquisition in higher education. However, a growing number of students with very different heterogeneous profiles and unequal problem solving skills, as well as the lack of teaching resources, make it very challenging and sometimes even impossible to give immediate feedback at individual level. This paper presents a synthesis and progress of a long-term project that addresses this challenge in the context of conceptual modelling by developing SAiLE@CoMo, a smart and adaptive learning environment. By
crafting innovative process analytics techniques and expert knowledge on feedback automation, SAiLE@CoMo can automatically provide personalized and immediate feedback to leaners.

Original language	English
Title of host publication	IEEE RCIS 2016
Subtitle of host publication	2016 IEEE International Conference on Research Challenges in Information Science (RCIS)
Editors	Sergio España, Jolita Ralyté, Carine Souveyet
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Electronic)	978-1-4799-8710-8
ISBN (Print)	978-1-4799-8711-5
DOIs	https://doi.org/10.1109/RCIS.2016.7549293
Publication status	Published - Jun 2016
Externally published	Yes
Event	10th IEEE International Conference on Research Challenges in Information Science, RCIS 2016 - Grenoble Institute of Technology, Grenoble, France Duration: 1 Jun 2016 → 3 Jun 2016 Conference number: 10 https://www.rcis-conf.com/rcis2016/

Conference

Conference	10th IEEE International Conference on Research Challenges in Information Science, RCIS 2016
Abbreviated title	RCIS 2016
Country/Territory	France
City	Grenoble
Period	1/06/16 → 3/06/16
Internet address	https://www.rcis-conf.com/rcis2016/

Keywords

n/a OA procedure
Process learning analytics
Conceptual modeling
Smart learning environments
Feedback automation

Access to Document

10.1109/RCIS.2016.7549293

Cite this

Serral, E., De Weerdt, J., Sedrakyan, G., & Snoeck, M. (2016). Automating immediate and personalized feedback: Taking conceptual modelling education to a next level. In S. España, J. Ralyté, & C. Souveyet (Eds.), IEEE RCIS 2016: 2016 IEEE International Conference on Research Challenges in Information Science (RCIS) (pp. 1-6). IEEE. https://doi.org/10.1109/RCIS.2016.7549293

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title = "Automating immediate and personalized feedback: Taking conceptual modelling education to a next level",

abstract = "Providing individual and immediate feedback to students is a critical factor for improving knowledge and skills acquisition in higher education. However, a growing number of students with very different heterogeneous profiles and unequal problem solving skills, as well as the lack of teaching resources, make it very challenging and sometimes even impossible to give immediate feedback at individual level. This paper presents a synthesis and progress of a long-term project that addresses this challenge in the context of conceptual modelling by developing SAiLE@CoMo, a smart and adaptive learning environment. By crafting innovative process analytics techniques and expert knowledge on feedback automation, SAiLE@CoMo can automatically provide personalized and immediate feedback to leaners.",

keywords = "n/a OA procedure, Process learning analytics, Conceptual modeling, Smart learning environments, Feedback automation",

author = "Estefania Serral and \{De Weerdt\}, Jochen and Gayane Sedrakyan and Monique Snoeck",

note = "Export Date: 25 December 2025; Cited By: 23; 10th IEEE International Conference on Research Challenges in Information Science, RCIS 2016, RCIS 2016 ; Conference date: 01-06-2016 Through 03-06-2016",

year = "2016",

month = jun,

doi = "10.1109/RCIS.2016.7549293",

language = "English",

isbn = "978-1-4799-8711-5 ",

pages = "1--6",

editor = "Sergio Espa{\~n}a and Jolita Ralyt{\'e} and Carine Souveyet",

booktitle = "IEEE RCIS 2016",

publisher = "IEEE",

address = "United States",

url = "https://www.rcis-conf.com/rcis2016/",

}

Serral, E, De Weerdt, J, Sedrakyan, G & Snoeck, M 2016, Automating immediate and personalized feedback: Taking conceptual modelling education to a next level. in S España, J Ralyté & C Souveyet (eds), IEEE RCIS 2016: 2016 IEEE International Conference on Research Challenges in Information Science (RCIS). IEEE, pp. 1-6, 10th IEEE International Conference on Research Challenges in Information Science, RCIS 2016, Grenoble, France, 1/06/16. https://doi.org/10.1109/RCIS.2016.7549293

Automating immediate and personalized feedback: Taking conceptual modelling education to a next level. / Serral, Estefania; De Weerdt, Jochen; Sedrakyan, Gayane et al.
IEEE RCIS 2016: 2016 IEEE International Conference on Research Challenges in Information Science (RCIS). ed. / Sergio España; Jolita Ralyté; Carine Souveyet. IEEE, 2016. p. 1-6.

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

TY - GEN

T1 - Automating immediate and personalized feedback

T2 - 10th IEEE International Conference on Research Challenges in Information Science, RCIS 2016

AU - Serral, Estefania

AU - De Weerdt, Jochen

AU - Sedrakyan, Gayane

AU - Snoeck, Monique

N1 - Conference code: 10

PY - 2016/6

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N2 - Providing individual and immediate feedback to students is a critical factor for improving knowledge and skills acquisition in higher education. However, a growing number of students with very different heterogeneous profiles and unequal problem solving skills, as well as the lack of teaching resources, make it very challenging and sometimes even impossible to give immediate feedback at individual level. This paper presents a synthesis and progress of a long-term project that addresses this challenge in the context of conceptual modelling by developing SAiLE@CoMo, a smart and adaptive learning environment. By crafting innovative process analytics techniques and expert knowledge on feedback automation, SAiLE@CoMo can automatically provide personalized and immediate feedback to leaners.

AB - Providing individual and immediate feedback to students is a critical factor for improving knowledge and skills acquisition in higher education. However, a growing number of students with very different heterogeneous profiles and unequal problem solving skills, as well as the lack of teaching resources, make it very challenging and sometimes even impossible to give immediate feedback at individual level. This paper presents a synthesis and progress of a long-term project that addresses this challenge in the context of conceptual modelling by developing SAiLE@CoMo, a smart and adaptive learning environment. By crafting innovative process analytics techniques and expert knowledge on feedback automation, SAiLE@CoMo can automatically provide personalized and immediate feedback to leaners.

KW - n/a OA procedure

KW - Process learning analytics

KW - Conceptual modeling

KW - Smart learning environments

KW - Feedback automation

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DO - 10.1109/RCIS.2016.7549293

M3 - Conference contribution

SN - 978-1-4799-8711-5

SP - 1

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BT - IEEE RCIS 2016

A2 - España, Sergio

A2 - Ralyté, Jolita

A2 - Souveyet, Carine

PB - IEEE

Y2 - 1 June 2016 through 3 June 2016

ER -

Automating immediate and personalized feedback: Taking conceptual modelling education to a next level

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Keywords

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