Undergraduate Teaching Assistants in Computer Science: Teaching-Related Beliefs, Tasks, and Competences

Holger Danielsiek; Jan  Vahrenhold; Peter Hubwieser; Johannes Arno Krugel; Johannes Magenheim; Laura Ohrndorf; Daniel Ossenschmidt; Niclas Schaper

doi:10.1109/educon.2017.7942927

Undergraduate Teaching Assistants in Computer Science: Teaching-Related Beliefs, Tasks, and Competences

Holger Danielsiek
, Jan Vahrenhold
, Peter Hubwieser
, Johannes Arno Krugel
, Johannes Magenheim
, Laura Ohrndorf
, Daniel Ossenschmidt
, Niclas Schaper

Fachgebiet Echtzeitsysteme

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

Abstract

We report on the first steps of KETTI, a project that aims towards the development of a competence model for undergraduate teaching assistants (UTAs) in computer science. Using qualitative methods, we obtained a classification of existing designs for teaching that employ UTAs; some of the observed factors directly influence the methodological decision space of UTAs. We developed and implemented a UTA training scheme designed to foster student-oriented teaching in recitation sessions along with an instrument to gauge the effects of this instruction on a variety of psychometric scales. We report results from a small-scale pilot study at three institutions showing positive effects on teaching-related beliefs and self-efficacy.

Originalsprache	Englisch
Titel des Sammelwerks	IEEE Global Engineering Education Conference
Seiten	718-725
Seitenumfang	8
ISBN (elektronisch)	9781509054671
DOIs	https://doi.org/10.1109/educon.2017.7942927
Publikationsstatus	Veröffentlicht - 25 Apr. 2017

Publikationsreihe

Name	IEEE Global Engineering Education Conference, EDUCON
ISSN (Print)	2165-9559
ISSN (elektronisch)	2165-9567

ASJC Scopus Sachgebiete

Allgemeiner Maschinenbau
Informationssysteme und -management
Ausbildung bzw. Denomination

Zugriff auf Dokument

10.1109/educon.2017.7942927

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Dieses zitieren

Danielsiek, H., Vahrenhold, J., Hubwieser, P., Krugel, J. A., Magenheim, J., Ohrndorf, L., Ossenschmidt, D., & Schaper, N. (2017). Undergraduate Teaching Assistants in Computer Science: Teaching-Related Beliefs, Tasks, and Competences. in IEEE Global Engineering Education Conference (S. 718-725). Artikel 7942927 (IEEE Global Engineering Education Conference, EDUCON). https://doi.org/10.1109/educon.2017.7942927

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title = "Undergraduate Teaching Assistants in Computer Science: Teaching-Related Beliefs, Tasks, and Competences",

abstract = "We report on the first steps of KETTI, a project that aims towards the development of a competence model for undergraduate teaching assistants (UTAs) in computer science. Using qualitative methods, we obtained a classification of existing designs for teaching that employ UTAs; some of the observed factors directly influence the methodological decision space of UTAs. We developed and implemented a UTA training scheme designed to foster student-oriented teaching in recitation sessions along with an instrument to gauge the effects of this instruction on a variety of psychometric scales. We report results from a small-scale pilot study at three institutions showing positive effects on teaching-related beliefs and self-efficacy.",

keywords = "Competence Model, Computer Science, Pedagogical Content Knowledge, Undergraduate Teaching Assistants",

author = "Holger Danielsiek and Jan Vahrenhold and Peter Hubwieser and Krugel, \{Johannes Arno\} and Johannes Magenheim and Laura Ohrndorf and Daniel Ossenschmidt and Niclas Schaper",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.",

year = "2017",

month = apr,

day = "25",

doi = "10.1109/educon.2017.7942927",

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Danielsiek, H, Vahrenhold, J, Hubwieser, P, Krugel, JA, Magenheim, J, Ohrndorf, L, Ossenschmidt, D & Schaper, N 2017, Undergraduate Teaching Assistants in Computer Science: Teaching-Related Beliefs, Tasks, and Competences. in IEEE Global Engineering Education Conference., 7942927, IEEE Global Engineering Education Conference, EDUCON, S. 718-725. https://doi.org/10.1109/educon.2017.7942927

Undergraduate Teaching Assistants in Computer Science: Teaching-Related Beliefs, Tasks, and Competences. / Danielsiek, Holger; Vahrenhold, Jan ; Hubwieser, Peter et al.
IEEE Global Engineering Education Conference. 2017. S. 718-725 7942927 (IEEE Global Engineering Education Conference, EDUCON).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

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AU - Danielsiek, Holger

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AU - Magenheim, Johannes

AU - Ohrndorf, Laura

AU - Ossenschmidt, Daniel

AU - Schaper, Niclas

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AB - We report on the first steps of KETTI, a project that aims towards the development of a competence model for undergraduate teaching assistants (UTAs) in computer science. Using qualitative methods, we obtained a classification of existing designs for teaching that employ UTAs; some of the observed factors directly influence the methodological decision space of UTAs. We developed and implemented a UTA training scheme designed to foster student-oriented teaching in recitation sessions along with an instrument to gauge the effects of this instruction on a variety of psychometric scales. We report results from a small-scale pilot study at three institutions showing positive effects on teaching-related beliefs and self-efficacy.

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