@inproceedings{ReuterHauserMuckelbaueretal., author = {Reuter, Rebecca and Hauser, Florian and Muckelbauer, Daniel and Stark, Theresa and Antoni, Erika and Mottok, J{\"u}rgen and Wolff, Christian}, title = {Using augmented reality in software engineering education? First insights to a comparative study of 2D and AR UML modeling}, series = {Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS) and 31st Conference on Software Engineering Education and Training (CSEE\&T), January 8 - 11, 2019 Grand Wailea, Hawaii}, booktitle = {Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS) and 31st Conference on Software Engineering Education and Training (CSEE\&T), January 8 - 11, 2019 Grand Wailea, Hawaii}, doi = {10.24251/HICSS.2019.938}, pages = {7798 -- 7807}, abstract = {Although there has been much speculation about the potential of Augmented Reality (AR) in teaching for learning material, there is a significant lack of empirical proof about its effectiveness and implementation in higher education. We describe a software to integrate AR using the Microsoft Hololens into UML (Unified Modeling Language) teaching. Its user interface is laid out to overcome problems of existing software. We discuss the design of the tool and report a first evaluation study. The study is based upon effectiveness as a metric for students performance and components of motivation. The study was designed as control group experiment with two groups. The experimental group had to solve tasks with the help of the AR modeling tool and the control group used a classic PC software. We identified tendencies that participants of the experimental group showed more motivation than the control group. Both groups performed equally well}, language = {en} } @inproceedings{ReuterHauserGoldVeerkampetal., author = {Reuter, Rebecca and Hauser, Florian and Gold-Veerkamp, Carolin and Stark, Theresa and Kis, Juliane and Mottok, J{\"u}rgen and Abke, J{\"o}rg and Meyer, Dany}, title = {Towards the construction of a questionnaire for the identification of learning obstacles}, series = {2018 IEEE Global Engineering Education Conference (EDUCON 2018), 17-20 April, 2018, Santa Cruz de Tenerife, Spain}, booktitle = {2018 IEEE Global Engineering Education Conference (EDUCON 2018), 17-20 April, 2018, Santa Cruz de Tenerife, Spain}, doi = {10.1109/EDUCON.2018.8363266}, pages = {457 -- 466}, abstract = {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.}, language = {en} } @inproceedings{ReuterStarkSedelmaieretal., author = {Reuter, Rebecca and Stark, Theresa and Sedelmaier, Yvonne and Landes, Dieter and Mottok, J{\"u}rgen and Wolff, Christian}, title = {Insights in Students' Problems during UML Modeling}, series = {2020 IEEE Global Engineering Education Conference (EDUCON): Proceedings}, booktitle = {2020 IEEE Global Engineering Education Conference (EDUCON): Proceedings}, doi = {10.1109/EDUCON45650.2020.9125110}, pages = {592 -- 600}, abstract = {UML (Unified Modeling Language) is the current de facto as well as de jure standard (ISO/IEC 19505:2012) notation to visualize models in software development. UML provides essential guidelines and rules to visualize and understand complex software systems. This is the reason why it has become part of curricula for software engineering courses at many universities worldwide. It is well known, however, that UML is hard to grasp for novices, mainly due to its complexity. In order to tackle the problem of teaching UML to novice students appropriately, it is inevitable to understand their needs and problems much better than we do now. This paper presents empirical insights into students' problems when developing common UML diagrams. Identified problems are generalized, giving rise to a problem catalogue that is derived from our empirical findings, thus establishing a basis for addressing these problems through focused learning arrangements.}, language = {en} } @inproceedings{HauserStarkMottoketal., author = {Hauser, Florian and Stark, Theresa and Mottok, J{\"u}rgen and Gruber, Hans and Reuter, Rebecca}, title = {Deliberate Practice in Programming: How is it carried out by programmers?}, series = {ECSEE '20: Proceedings of the 4th European Conference on Software Engineering Education, Seeon, Germany, June 2020}, booktitle = {ECSEE '20: Proceedings of the 4th European Conference on Software Engineering Education, Seeon, Germany, June 2020}, isbn = {ISBN 9781450377522}, doi = {10.1145/3396802.3396815}, pages = {42 -- 46}, abstract = {This work in progress study examines through which activities programmers perform deliberate practice to improve their own skills in coding and programming. For this reason, a qualitative questionnaire was developed and conducted with a sample of 22 participants. The results indicate that programmers perform formal and informal forms of training and learning. Typically, a classical programming training in the context of a university course or for work-related reasons is a first step in the acquisition of expertise. Building on these basic skills, non-formal and informal learning activities are carried out by the learners. Especially the social interaction and the collaborative work with other programmers is of great importance in this context. The activities mentioned by the test persons fulfil the characteristics of deliberate practice and will be examined more closely in a further study.}, language = {en} }