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Design Pattern sind wiederverwendbare Entwurfsmuster für Probleme in objektorientierten Programmiersprachen. Gene-rell wird dieser Lerninhalt als sehr abstrakt, theoretisch und schwer verständlich beurteilt. Eine durchgeführte Studie mit Studierenden zu den Lernhindernissen während unseres Soft-ware Engineering Curriculums belegen diese Annahmen. Trotz heterogener Studierendengruppe mit unterschiedlichen Vor-kenntnissen, wird das Verständnis der Konzepte von Design Pattern, verglichen mit anderen Lehrinhalten, als die größte Herausforderung angesehen. Zur Verbesserung des Lernens von Design Pattern, wurde aufgrund dieser Erkenntnisse ein Lehrkonzept zur Beseitigung der Lernhindernisse entwickelt. Dieses basiert auf einem angepassten Scaffolding-Ansatz, welcher u.a. durch die systematische Anwendung von studie-rendenzentrierten Methoden die Aneignung von theoretischen als auch praktischen Inhalten sukzessive fördert. Eine anschlie-ßende Evaluation belegt die Wirkungsweise des Lehrkonzepts.
Software Engineering is very abstract and complex by nature. Teaching Software Engineering in higher education is therefore still a big challenge. Although we implemented inductive teaching and learning methods in our courses for several years, we do not have a panacea. This paper aims to identify the remaining teaching obstacles in our Software Engineering courses with regard to the concrete teaching content. We present first ideas on how to overcome these teaching obstacles by the application of Augmented and/or Virtual Reality techniques with regard to the identified 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.
This paper deals with the validation and modification of the German questionnaire "F-Komp". In its original version, it was intended to measure university students' research competences. In the beginning of this study, there were only a few tools available which were reliable. For the purposes of this study, they were not suitable. At the same time, there was no validated version of the F-Komp available, which made the whole validation process for further usage necessary. This questionnaire is based on a structure, which consist of different skills and knowledge and is focused on measuring research competence in general. The validation and modification of the F-Komp is therefore the aim of our contribution as well as a revised version of the questionnaire. We proceeded an explorative factor and a reliability analysis to do a general evaluation of the tool. Some modifications were done in the questionnaire to make it more suitable to the requirements of technical oriented universities of applied sciences [5]. Our revised version is slightly longer and contains several items to gather data about the participants demographics. The modified questionnaire is based on a more appropriate factor structure. This structure is more practically oriented and pays attention to ethical issues. In future cases, this questionnaire will be used in research oriented courses to measure students' progress in acquiring the knowledge and methods which are necessary to perform as a scientist in different research areas.
This study is based on the work of Uwano, Nakamura, Monden and Matsumoto (2006) who tried to identify programmers’ eye movements in source code reviews by using eye tracking technology. The researchers were able to identify certain eye movement patterns but due to the technical limitations of earlier eye tracking systems and a small sample they could not find a valid proof for their existence. Now, twelve years later, the eye tracking technology has made significant improvements and is able to capture programmers’ reading behavior in an unobtrusive and precise way. Now the goal is to verify the described patterns by using eye tracking data from expert and novice programmers. In the experiment they have to detect errors in six different codes and take part in a retrospective interview. At the moment, data collections are ongoing. At the time of the conference, we will present the results of our analyses.
We investigated the potential of augmented reality (AR) to enable visualization of abstract concepts and present the first iteration of a teaching experiment that evaluates the use of AR as support for abstraction skills. Students were confronted with the task to present and explain information to different groups of stakeholders at the example of a coffee machine. Results show that students find it helpful to have a visual app-prototype and especially one that can be disassembled in different levels. The main goal was to sensitize students for the need to think about and to abstract information for certain roles and perspectives.
