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Adaptierbare Lernsequenzen für die physikalisch-technische Grundlagenausbildung

Fast facts

  • Internal authorship

  • Further publishers

    Aleksandra Bubvic-Schäfer, Heiko Krabbe, Johanna May, Darius Mottaghy, Stefan Roth

  • Publishment

    • 2023
  • Anthology

    Adaptierbare Lernsequenzen für die physikalisch-technische Grundlagenausbildung

  • Organizational unit

  • Subjects

    • Neue Medien
    • Physics
  • Publication format

    Conference poster

Quote

Bubvic-Schäfer, Aleksandra u. a. 2023. Adaptierbare Lernsequenzen für die physikalisch-technische Grundlagenausbildung. In MINT Symposium .

Content

Although learning management systems (ILIAS, moodle) enable the use of math problems as tests, they do not adequately support teachers in the time-consuming and error-prone creation of valid tasks for STEM subjects. One solution is the collegial creation of task collections and their publication as Open Educational Resources (OER) for the exchange and further development of tasks across disciplines. This article presents the initial results of the ALepa project, in which interdisciplinary learning sequences based on structured task collections are being developed for basic physical and technical training in physics and electrical engineering study programs. Developed learning sequences are presented that have been used and evaluated in university teaching. A learning sequence has a thematic focus, for example on the kinematics of point masses or on electrical networks. It includes worked-examples with the option of showing or hiding help as well as accompanying explanatory videos and a pool of exercises and problem-solving tasks (e.g. stack tasks), which can be used as tests in the two learning platforms ILIAS and moodle.

Notes and references

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