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

Real Time Systems Section

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › 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.

Original language	English
Title of host publication	IEEE Global Engineering Education Conference
Pages	718-725
Number of pages	8
ISBN (Electronic)	9781509054671
DOIs	https://doi.org/10.1109/educon.2017.7942927
Publication status	Published - 25 Apr 2017

Publication series

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

Keywords

Competence Model
Computer Science
Pedagogical Content Knowledge
Undergraduate Teaching Assistants

ASJC Scopus subject areas

General Engineering
Information Systems and Management
Education

Access to Document

10.1109/educon.2017.7942927

Cite this

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 (pp. 718-725). Article 7942927 (IEEE Global Engineering Education Conference, EDUCON). https://doi.org/10.1109/educon.2017.7942927

@inproceedings{2dc13831d9474b2d987607c5dc0e5b04,

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",

language = "English",

series = "IEEE Global Engineering Education Conference, EDUCON",

pages = "718--725",

booktitle = "IEEE Global Engineering Education Conference",

}

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, pp. 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. p. 718-725 7942927 (IEEE Global Engineering Education Conference, EDUCON).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

TY - GEN

T1 - Undergraduate Teaching Assistants in Computer Science: Teaching-Related Beliefs, Tasks, and Competences

AU - Danielsiek, Holger

AU - Vahrenhold, Jan

AU - Hubwieser, Peter

AU - Krugel, Johannes Arno

AU - Magenheim, Johannes

AU - Ohrndorf, Laura

AU - Ossenschmidt, Daniel

AU - Schaper, Niclas

PY - 2017/4/25

Y1 - 2017/4/25

N2 - 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.

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.

KW - Competence Model

KW - Computer Science

KW - Pedagogical Content Knowledge

KW - Undergraduate Teaching Assistants

UR - https://www.scopus.com/pages/publications/85023644916

U2 - 10.1109/educon.2017.7942927

DO - 10.1109/educon.2017.7942927

M3 - Conference contribution

T3 - IEEE Global Engineering Education Conference, EDUCON

SP - 718

EP - 725

BT - IEEE Global Engineering Education Conference

ER -

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

Abstract

Publication series

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this