Early Warning System with Formative Feedback to Support Engineering Students in Electromagnetism

C. Martinez; T.B.N. Booij; R. Serra; C.J.C. Vertegaal; M.J. Bentum; P. Sundaramoorthy; Z. Bounik

doi:10.23919/EAEEIE55804.2023.10181601

Early Warning System with Formative Feedback to Support Engineering Students in Electromagnetism

C. Martinez
, T.B.N. Booij
, R. Serra
, C.J.C. Vertegaal
, M.J. Bentum
, P. Sundaramoorthy
, Z. Bounik

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

1 Citation (Scopus)

74 Downloads (Pure)

Abstract

Early Warning Systems (EWS) in education have been used to identify students at risk of dropping out based on historical data. Using this technology with pedagogically based support actions could help students in their individual learning. In this study we used an EWS in combination with formative feedback to guide students on their learning. Based on achievement indicators, students received targeted feedback every fifteen days. Data from this experience show statistically significant improvements in final grades and problem solving participation among students who received feedback. This paper makes the following contributions: a) describes the design and implementation of an EWS that connects student achievement indicators with personalized feedback, b) presents pedagogical and research based criteria to develop formative feedback in an Electromagnetism course, c) offers preliminary results of the experience.

Original language	English
Title of host publication	EAEEIE 2023 - Proceedings of the 2023 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering
Editors	Nico van der Aa
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-6
Number of pages	6
ISBN (Electronic)	978-90-386-5690-8
DOIs	https://doi.org/10.23919/EAEEIE55804.2023.10181601
Publication status	Published - 20 Jul 2023
Event	The 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering, EAEEIE - Eindhoven, Netherlands Duration: 14 Jun 2023 → 16 Jun 2023 https://www.fontys.nl/EAEEIE-2023.htm

Conference

Conference	The 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering, EAEEIE
Abbreviated title	EAEEIE
Country/Territory	Netherlands
City	Eindhoven
Period	14/06/23 → 16/06/23
Internet address	https://www.fontys.nl/EAEEIE-2023.htm

Keywords

Surveys
Ethics
Target recognition
Education
Buildings
Psychology
Europe
peer teaching
student interactions
student tutorials
electromagnetics

Access to Document

10.23919/EAEEIE55804.2023.10181601

pdfFinal published version, 223 KBLicence: TAVERNE

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Martinez, C., Booij, T. B. N., Serra, R., Vertegaal, C. J. C., Bentum, M. J., Sundaramoorthy, P., & Bounik, Z. (2023). Early Warning System with Formative Feedback to Support Engineering Students in Electromagnetism. In N. van der Aa (Ed.), EAEEIE 2023 - Proceedings of the 2023 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering (pp. 1-6). Article 10181601 Institute of Electrical and Electronics Engineers. https://doi.org/10.23919/EAEEIE55804.2023.10181601

Martinez, C. ; Booij, T.B.N. ; Serra, R. et al. / Early Warning System with Formative Feedback to Support Engineering Students in Electromagnetism. EAEEIE 2023 - Proceedings of the 2023 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering. editor / Nico van der Aa. Institute of Electrical and Electronics Engineers, 2023. pp. 1-6

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abstract = "Early Warning Systems (EWS) in education have been used to identify students at risk of dropping out based on historical data. Using this technology with pedagogically based support actions could help students in their individual learning. In this study we used an EWS in combination with formative feedback to guide students on their learning. Based on achievement indicators, students received targeted feedback every fifteen days. Data from this experience show statistically significant improvements in final grades and problem solving participation among students who received feedback. This paper makes the following contributions: a) describes the design and implementation of an EWS that connects student achievement indicators with personalized feedback, b) presents pedagogical and research based criteria to develop formative feedback in an Electromagnetism course, c) offers preliminary results of the experience.",

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Martinez, C, Booij, TBN , Serra, R , Vertegaal, CJC , Bentum, MJ, Sundaramoorthy, P & Bounik, Z 2023, Early Warning System with Formative Feedback to Support Engineering Students in Electromagnetism. in N van der Aa (ed.), EAEEIE 2023 - Proceedings of the 2023 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering., 10181601, Institute of Electrical and Electronics Engineers, pp. 1-6, The 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering, EAEEIE, Eindhoven, Netherlands, 14/06/23. https://doi.org/10.23919/EAEEIE55804.2023.10181601

Early Warning System with Formative Feedback to Support Engineering Students in Electromagnetism. / Martinez, C.; Booij, T.B.N.; Serra, R. et al.
EAEEIE 2023 - Proceedings of the 2023 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering. ed. / Nico van der Aa. Institute of Electrical and Electronics Engineers, 2023. p. 1-6 10181601.

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

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AU - Martinez, C.

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AU - Bentum, M.J.

AU - Sundaramoorthy, P.

AU - Bounik, Z.

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N2 - Early Warning Systems (EWS) in education have been used to identify students at risk of dropping out based on historical data. Using this technology with pedagogically based support actions could help students in their individual learning. In this study we used an EWS in combination with formative feedback to guide students on their learning. Based on achievement indicators, students received targeted feedback every fifteen days. Data from this experience show statistically significant improvements in final grades and problem solving participation among students who received feedback. This paper makes the following contributions: a) describes the design and implementation of an EWS that connects student achievement indicators with personalized feedback, b) presents pedagogical and research based criteria to develop formative feedback in an Electromagnetism course, c) offers preliminary results of the experience.

AB - Early Warning Systems (EWS) in education have been used to identify students at risk of dropping out based on historical data. Using this technology with pedagogically based support actions could help students in their individual learning. In this study we used an EWS in combination with formative feedback to guide students on their learning. Based on achievement indicators, students received targeted feedback every fifteen days. Data from this experience show statistically significant improvements in final grades and problem solving participation among students who received feedback. This paper makes the following contributions: a) describes the design and implementation of an EWS that connects student achievement indicators with personalized feedback, b) presents pedagogical and research based criteria to develop formative feedback in an Electromagnetism course, c) offers preliminary results of the experience.

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KW - Ethics

KW - Target recognition

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KW - Buildings

KW - Psychology

KW - Europe

KW - peer teaching

KW - student interactions

KW - student tutorials

KW - electromagnetics

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M3 - Conference contribution

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A2 - van der Aa, Nico

PB - Institute of Electrical and Electronics Engineers

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Y2 - 14 June 2023 through 16 June 2023

ER -

Martinez C, Booij TBN , Serra R , Vertegaal CJC , Bentum MJ, Sundaramoorthy P et al. Early Warning System with Formative Feedback to Support Engineering Students in Electromagnetism. In van der Aa N, editor, EAEEIE 2023 - Proceedings of the 2023 32nd Annual Conference of the European Association for Education in Electrical and Information Engineering. Institute of Electrical and Electronics Engineers. 2023. p. 1-6. 10181601 doi: 10.23919/EAEEIE55804.2023.10181601

Early Warning System with Formative Feedback to Support Engineering Students in Electromagnetism

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