Technologies designed and developed in PELARS project - The way to enhance STEM education

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

Technologies designed and developed in PELARS project - The way to enhance STEM education. / Friesel, Anna; Spikol, Daniel; Cojocaru, Dorian.

2017 27th EAEEIE Annual Conference (EAEEIE). IEEE, 2017.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

Friesel, A, Spikol, D & Cojocaru, D 2017, Technologies designed and developed in PELARS project - The way to enhance STEM education. in 2017 27th EAEEIE Annual Conference (EAEEIE). IEEE, 27th EAEEIE Annual Conference, EAEEIE 2017, Grenoble, France, 07/06/2017. https://doi.org/10.1109/EAEEIE.2017.8768603

APA

Friesel, A., Spikol, D., & Cojocaru, D. (2017). Technologies designed and developed in PELARS project - The way to enhance STEM education. In 2017 27th EAEEIE Annual Conference (EAEEIE) IEEE. https://doi.org/10.1109/EAEEIE.2017.8768603

Vancouver

Friesel A, Spikol D, Cojocaru D. Technologies designed and developed in PELARS project - The way to enhance STEM education. In 2017 27th EAEEIE Annual Conference (EAEEIE). IEEE. 2017 https://doi.org/10.1109/EAEEIE.2017.8768603

Author

Friesel, Anna ; Spikol, Daniel ; Cojocaru, Dorian. / Technologies designed and developed in PELARS project - The way to enhance STEM education. 2017 27th EAEEIE Annual Conference (EAEEIE). IEEE, 2017.

Bibtex

@inproceedings{3fe59a192bf74e14a1f4d89150ba917c,
title = "Technologies designed and developed in PELARS project - The way to enhance STEM education",
abstract = "Practice-based Experiential Learning Analytics Research and Support (PELARS) is a project about learning and making. The PELARS project finds ways of generating analytics (data about the learning process and analysis of this data), which helps learners and teachers by providing feedback from hands-on, project-based and experiential learning situations. In this paper, we present our proposal for improving analytics education with hands-on, project-based and experimental scenarios for engineering students. This is done through teacher and learner engagement, user studies and evaluated trials, performed at UCV (University of Craiova, Romania) and DTU Diplom (Technical University of Denmark, Campus Ballerup, Denmark). The PELARS project provides technological tools and ICT-based methods for collecting activity data (moving image-based and embedded sensing) for learning analytics (data-mining and reasoning) of practice-based and experiential STEM.",
keywords = "Design Methods, Education, Learning Analytics, Prototyping, STEM, Visual programming",
author = "Anna Friesel and Daniel Spikol and Dorian Cojocaru",
year = "2017",
month = jun,
doi = "10.1109/EAEEIE.2017.8768603",
language = "English",
booktitle = "2017 27th EAEEIE Annual Conference (EAEEIE)",
publisher = "IEEE",
note = "27th EAEEIE Annual Conference, EAEEIE 2017 ; Conference date: 07-06-2017 Through 09-06-2017",

}

RIS

TY - GEN

T1 - Technologies designed and developed in PELARS project - The way to enhance STEM education

AU - Friesel, Anna

AU - Spikol, Daniel

AU - Cojocaru, Dorian

PY - 2017/6

Y1 - 2017/6

N2 - Practice-based Experiential Learning Analytics Research and Support (PELARS) is a project about learning and making. The PELARS project finds ways of generating analytics (data about the learning process and analysis of this data), which helps learners and teachers by providing feedback from hands-on, project-based and experiential learning situations. In this paper, we present our proposal for improving analytics education with hands-on, project-based and experimental scenarios for engineering students. This is done through teacher and learner engagement, user studies and evaluated trials, performed at UCV (University of Craiova, Romania) and DTU Diplom (Technical University of Denmark, Campus Ballerup, Denmark). The PELARS project provides technological tools and ICT-based methods for collecting activity data (moving image-based and embedded sensing) for learning analytics (data-mining and reasoning) of practice-based and experiential STEM.

AB - Practice-based Experiential Learning Analytics Research and Support (PELARS) is a project about learning and making. The PELARS project finds ways of generating analytics (data about the learning process and analysis of this data), which helps learners and teachers by providing feedback from hands-on, project-based and experiential learning situations. In this paper, we present our proposal for improving analytics education with hands-on, project-based and experimental scenarios for engineering students. This is done through teacher and learner engagement, user studies and evaluated trials, performed at UCV (University of Craiova, Romania) and DTU Diplom (Technical University of Denmark, Campus Ballerup, Denmark). The PELARS project provides technological tools and ICT-based methods for collecting activity data (moving image-based and embedded sensing) for learning analytics (data-mining and reasoning) of practice-based and experiential STEM.

KW - Design Methods

KW - Education

KW - Learning Analytics

KW - Prototyping

KW - STEM

KW - Visual programming

UR - http://www.scopus.com/inward/record.url?scp=85070369758&partnerID=8YFLogxK

U2 - 10.1109/EAEEIE.2017.8768603

DO - 10.1109/EAEEIE.2017.8768603

M3 - Article in proceedings

AN - SCOPUS:85070369758

BT - 2017 27th EAEEIE Annual Conference (EAEEIE)

PB - IEEE

T2 - 27th EAEEIE Annual Conference, EAEEIE 2017

Y2 - 7 June 2017 through 9 June 2017

ER -

ID: 360246609