| Publication type: | Conference paper |
| Type of review: | Peer review (abstract) |
| Title: | Thesis writer (TW) : tapping scale effects in academic writing instruction |
| Authors: | Rapp, Christian Kruse, Otto |
| DOI: | 10.1145/2876034.2893400 |
| Proceedings: | L@S '16 Proceedings of the Third (2016) ACM Conference on Learning @ Scale |
| Page(s): | 325 |
| Pages to: | 326 |
| Conference details: | L@S: Third ACM Conference on Learning @ Scale, Edinburgh, Scotland, 25-26 April 2016 |
| Issue Date: | 2016 |
| Publisher / Ed. Institution: | Association for Computing Machinery |
| ISBN: | 978-1-4503-3726-7 |
| Language: | English |
| Subjects: | Research-based learning; Technology enhanced learning; Academic writing; Instruction; Support; Literacy |
| Subject (DDC): | 378: Higher education 808: Rhetoric and writing |
| Abstract: | Writing a thesis is no less challenging a task for students, than for organizations who instruct and tutor thesis writing at higher education institutions. Annually within just our departments, 1000 undergraduates face the task of writing a thesis. Increasing student numbers and stagnating resources pose management problems, as well as constant threats to the quality of instruction. In reaction to this, we started exploring how instruction and supervision of thesis writers and related administrative tasks could be electronically supported, allowing for scale effects. A learning environment named Thesis Writer (TW) was developed, and piloted during the fall of 2015. TW supports individual writing and collaboration between writers, peers, tutors, and supervisors. This web-based software runs in common web browsers, independently of the operating system. In this paper we highlight the core functions of TW and address such uses in which scale effects can be realized. Conference attendees can use and test the system including real-time collaboration, in either English or German, and discuss experiences made and data collected during the pilot by 300 BA students. |
| URI: | https://learningatscale.acm.org/las2016/ https://learningatscale.acm.org https://digitalcollection.zhaw.ch/handle/11475/8435 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | Applied Linguistics |
| Organisational Unit: | Institute of Language Competence (ILC) Center for Innovative Teaching and Learning (ZID) |
| Appears in collections: | Publikationen Angewandte Linguistik |
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Rapp, C., & Kruse, O. (2016). Thesis writer (TW) : tapping scale effects in academic writing instruction [Conference paper]. L@S ’16 Proceedings of the Third (2016) ACM Conference on Learning @ Scale, 325–326. https://doi.org/10.1145/2876034.2893400
Rapp, C. and Kruse, O. (2016) ‘Thesis writer (TW) : tapping scale effects in academic writing instruction’, in L@S ’16 Proceedings of the Third (2016) ACM Conference on Learning @ Scale. Association for Computing Machinery, pp. 325–326. Available at: https://doi.org/10.1145/2876034.2893400.
C. Rapp and O. Kruse, “Thesis writer (TW) : tapping scale effects in academic writing instruction,” in L@S ’16 Proceedings of the Third (2016) ACM Conference on Learning @ Scale, 2016, pp. 325–326. doi: 10.1145/2876034.2893400.
RAPP, Christian und Otto KRUSE, 2016. Thesis writer (TW) : tapping scale effects in academic writing instruction. In: L@S ’16 Proceedings of the Third (2016) ACM Conference on Learning @ Scale [online]. Conference paper. Association for Computing Machinery. 2016. S. 325–326. ISBN 978-1-4503-3726-7. Verfügbar unter: https://learningatscale.acm.org/las2016/
Rapp, Christian, and Otto Kruse. 2016. “Thesis Writer (TW) : Tapping Scale Effects in Academic Writing Instruction.” Conference paper. In L@S ’16 Proceedings of the Third (2016) ACM Conference on Learning @ Scale, 325–26. Association for Computing Machinery. https://doi.org/10.1145/2876034.2893400.
Rapp, Christian, and Otto Kruse. “Thesis Writer (TW) : Tapping Scale Effects in Academic Writing Instruction.” L@S ’16 Proceedings of the Third (2016) ACM Conference on Learning @ Scale, Association for Computing Machinery, 2016, pp. 325–26, https://doi.org/10.1145/2876034.2893400.
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