Abstract
The Article Incubator (AI) is a course intended for PhD students at the International Institute for Industrial Environmental Economics (IIIEE) at Lund University. The course provides a forum for students to discuss their current research, to develop academic writing skills, and to share best
practices in academic publishing. The AI is coordinated by a senior researcher at the IIIEE, while maintaining a student-centred approach, where all course elements are supported by students’ own contributions, reflections and experiences. In addition to sharing the article incubator as a pedagogical experience, we also seek to reflect upon ongoing challenges
including how to successfully manage diverse student backgrounds
and expectations in an interdisciplinary context.
practices in academic publishing. The AI is coordinated by a senior researcher at the IIIEE, while maintaining a student-centred approach, where all course elements are supported by students’ own contributions, reflections and experiences. In addition to sharing the article incubator as a pedagogical experience, we also seek to reflect upon ongoing challenges
including how to successfully manage diverse student backgrounds
and expectations in an interdisciplinary context.
| Original language | English |
|---|---|
| Title of host publication | LTH:s pedagogiska inspirationskonferens - Proceedings 2018 |
| Subtitle of host publication | 10:e pedagogiska inspirationskonferensen |
| Number of pages | 3 |
| Publication status | Published - 2018 Dec 6 |
| Event | LTH:s 10:e pedagogiska inspirationskonferens, 2018 - Faculty of Engineering LTH, Lund, Sweden Duration: 2018 Dec 6 → 2018 Dec 6 https://www.lth.se/genombrottet/lths-pedagogiska-inspirationskonferens/ |
Publication series
| Name | |
|---|---|
| ISSN (Print) | 2003-377X |
| ISSN (Electronic) | 2003-3761 |
Conference
| Conference | LTH:s 10:e pedagogiska inspirationskonferens, 2018 |
|---|---|
| Country/Territory | Sweden |
| City | Lund |
| Period | 2018/12/06 → 2018/12/06 |
| Internet address |
Subject classification (UKÄ)
- Pedagogy
- Other Engineering and Technologies
Free keywords
- feedback
- student-based learning
- interdisciplinarity
- PhD course