Cargando…
MEttLE: a modelling-based learning environment for undergraduate engineering estimation problem solving
Estimation is an important class of problems that engineering undergraduates must be able to solve. However teaching-learning of estimation is under emphasized in the current engineering curriculum. In this paper, we report on the first cycle of a design-based research project to design a technology...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294220/ https://www.ncbi.nlm.nih.gov/pubmed/30595745 http://dx.doi.org/10.1186/s41039-018-0083-y |
_version_ | 1783380701819699200 |
---|---|
author | Kothiyal, Aditi Murthy, Sahana |
author_facet | Kothiyal, Aditi Murthy, Sahana |
author_sort | Kothiyal, Aditi |
collection | PubMed |
description | Estimation is an important class of problems that engineering undergraduates must be able to solve. However teaching-learning of estimation is under emphasized in the current engineering curriculum. In this paper, we report on the first cycle of a design-based research project to design a technology-enhanced learning environment (TELE) to help students learn estimation. The TELE includes features such as a progressive higher-order modelling-based structuring of the estimation process, a problem system simulator and metacognitive scaffolds. We performed a lab study and found that learners were able to use the features in the TELE to solve the estimation problem and obtain an order-of-magnitude estimate. Further, learners learned some of the reasoning processes involved in performing estimation and recognized the role of evaluation and the need for practical considerations in estimation. We identified the roles of various features in the TELE for learning these estimation reasoning processes. These results have implications for the redesign of our TELE to improve student learning of estimation. |
format | Online Article Text |
id | pubmed-6294220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-62942202018-12-28 MEttLE: a modelling-based learning environment for undergraduate engineering estimation problem solving Kothiyal, Aditi Murthy, Sahana Res Pract Technol Enhanc Learn Research Estimation is an important class of problems that engineering undergraduates must be able to solve. However teaching-learning of estimation is under emphasized in the current engineering curriculum. In this paper, we report on the first cycle of a design-based research project to design a technology-enhanced learning environment (TELE) to help students learn estimation. The TELE includes features such as a progressive higher-order modelling-based structuring of the estimation process, a problem system simulator and metacognitive scaffolds. We performed a lab study and found that learners were able to use the features in the TELE to solve the estimation problem and obtain an order-of-magnitude estimate. Further, learners learned some of the reasoning processes involved in performing estimation and recognized the role of evaluation and the need for practical considerations in estimation. We identified the roles of various features in the TELE for learning these estimation reasoning processes. These results have implications for the redesign of our TELE to improve student learning of estimation. Springer Singapore 2018-11-16 2018 /pmc/articles/PMC6294220/ /pubmed/30595745 http://dx.doi.org/10.1186/s41039-018-0083-y Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Kothiyal, Aditi Murthy, Sahana MEttLE: a modelling-based learning environment for undergraduate engineering estimation problem solving |
title | MEttLE: a modelling-based learning environment for undergraduate engineering estimation problem solving |
title_full | MEttLE: a modelling-based learning environment for undergraduate engineering estimation problem solving |
title_fullStr | MEttLE: a modelling-based learning environment for undergraduate engineering estimation problem solving |
title_full_unstemmed | MEttLE: a modelling-based learning environment for undergraduate engineering estimation problem solving |
title_short | MEttLE: a modelling-based learning environment for undergraduate engineering estimation problem solving |
title_sort | mettle: a modelling-based learning environment for undergraduate engineering estimation problem solving |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294220/ https://www.ncbi.nlm.nih.gov/pubmed/30595745 http://dx.doi.org/10.1186/s41039-018-0083-y |
work_keys_str_mv | AT kothiyaladiti mettleamodellingbasedlearningenvironmentforundergraduateengineeringestimationproblemsolving AT murthysahana mettleamodellingbasedlearningenvironmentforundergraduateengineeringestimationproblemsolving |