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Towards the construction of a questionnaire for the identification of learning obstacles

  • This paper deals with the identification of learning ob-stacles using the questionnaire method. Therefore, two iterations were proceeded: The first one was part of a survey that was carried out at four lo-cations at universities of applied sciences. We asked students about obstructive facts in general providing items for five learning ob-stacle dimensions that were set up before; emotional/motivational, epistemological/cognitive, didactical, resource-related and meta-cognitive learning obstacle dimensions. After the general part, we asked them to answer the same question, but in relation to the – in their opinion – most difficult learning content. With this question, we aim to get indications regarding to epistemological obstacles. In a second step, we used the “Motivated Strategies for Learning Questionnaire”, which was developed by Pintrich [1] as a basis to develop a questionnaire that extracts learning obstacles. In its original version, the “Motivated Strategies for Learning Question-naire” was intended to measure students’ learning strategies, but, as the obstacle dimensions were partly derived from learning strategy classification, we chose this already validated question-naire [2]. Within this iteration, we could confirm a five-factor structure of the questionnaire that could be mapped to the five be-fore set learning obstacle dimensions.

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Metadaten
Author:Rebecca Reuter, Florian HauserORCiD, Carolin Gold-Veerkamp, Theresa Stark, Juliane Kis, Jürgen MottokORCiDGND, Jörg Abke, Dany Meyer
DOI:https://doi.org/10.1109/EDUCON.2018.8363266
Parent Title (English):2018 IEEE Global Engineering Education Conference (EDUCON 2018), 17-20 April, 2018, Santa Cruz de Tenerife, Spain
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2018
Release Date:2021/03/11
First Page:457
Last Page:466
Institutes:Fakultät Elektro- und Informationstechnik
Fakultät Elektro- und Informationstechnik / Laboratory for Safe and Secure Systems (LAS3)
research focus:Lebenswissenschaften und Ethik
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