@inproceedings{KutznerSteinertWeigertetal., author = {Kutzner, Tobias and Steinert, Christian and Weigert, Martin and W{\"a}lder, Olga and Robel, Karsten and Yan, Alan}, title = {Complex Assessments in Mathematics and Computer Science with STACK and VPL}, series = {InnoEducaTIC, Las Palmas, Gran Canaria, 2018}, booktitle = {InnoEducaTIC, Las Palmas, Gran Canaria, 2018}, publisher = {Universidad de Las Palmas de Gran Canaria}, address = {Las Palmas}, isbn = {978-84-09-02374-5}, pages = {375 -- 381}, abstract = {Programming is not complicated and yet many students do not pass the first hurdles. Software is logical, follows clear rules and mathematical laws. Any healthy person with basic literacy, numeracy and writing skills can learn it. Writing a book, painting pictures or other creative challenges are much harder. And yet many fail at comparable competences. Teaching programming skills by listening and reading is not enough. Students need the process of trial and error in order to acquire the skills needed and should be able to learn by them. However, students should be able to work independently on a computer. The problem that the beginners are overwhelmed and the advanced are bored. This is the case especially in computer science. Despite the use of a comfortable Learning Management System (LMS), many tasks have been submitted to paper and PDF at our university so far. Since the available question-types could not cover all possible complex tasks, it was difficult to inspire the lecturers for a complete digitization of their tasks. To be able to automatically evaluate even tasks in mathematics, computer science and related scientific disciplines two modules have been successfully evaluated at our university. This paper presents the use of these Moodle modules STACK and VPL in selected courses in mathematics and computer science and how to randomize tasks. In these modules complex tasks are prepared in such a way that they are still solvable for the students and automatically evaluated by the system, thus could considerably facilitate the work of the lecturers and academic staff. On concrete examples possible solutions are shown.}, language = {en} } @misc{KutznerSteinertRojasetal., author = {Kutzner, Tobias and Steinert, Christian and Rojas, Pedro and W{\"a}lder, Olga and Wolf, Bodo}, title = {Konzept einer universellen Selbstlern App als mobiles (online) Self Assessment f{\"u}r die Studieneingangsphase an Hochschulen}, address = {TH Wildau}, pages = {1}, abstract = {An der BTU wurden bisher vorrangig Apps f{\"u}r Mathematik in der Studieneingangsphase entwickelt, mit (angehenden) Studierenden {\"u}ber mehrere Semester erfolgreich getestet und in zahlreichen Publikationen vorgestellt. Inzwischen wurde das Konzept der an der BTU seit 2012 entwickelten Mathematik App weitergedacht. Dabei standen folgende grundlegende Fragen im Raum: Warum nicht eine App f{\"u}r alle Fachgebiete der Studieneingangsphase? Warum nicht eine App die v{\"o}llig ger{\"a}teunabh{\"a}ngig ist? Warum nicht eine App deren Inhalte auch von nicht Informatikern eingepflegt werden k{\"o}nnen? Aus diesen Fragestellungen und den darauffolgenden {\"U}berlegungen kamen wir zum Schluss eine Universelle Lern App als mobiles (online) Assessment f{\"u}r die Studieneingangsphase zu entwickeln.}, language = {de} }