Feedback 2.0: An Investigation into Using Sharable Feedback Tags as Programming Feedback

作者: Stephen Alexander Cummins

DOI:

关键词: Formative assessmentMultimediaThematic analysisWeb 2.0Student engagementSentiment analysisDisseminationPeer feedbackComputer scienceComputer programming

摘要: Objectives: Learning and teaching computer programming is a recognised challenge in Higher Education. Since feedback regarded as being the most important part of learning process, it expected that improving could support students' learning. This thesis aims to investigate how new forms can improve student sharing further enhance experience. Methods: investigates use for courses. The work explores collaborative tagging often found Web 2.0 software systems approach requires examiners annotate students source code with short, potentially reusable feedback. utilises variety research methods including questionnaires, focus groups collection system usage data recorded from interactions their Sentiment thematic analysis are used well tags communicate intended message students. approaches tested refined over two preliminary investigations before final investigation. Results: identified majority responded positively described. Student engagement was high up 100% viewing at least 42% opting share Students cohort who achieved either lower or higher marks assignment appeared more likely feedback. Conclusions: has demonstrated be useful disseminating good practice common pitfalls. Provision which contextually rich textually concise resulted However, outcomes this have been shown influenced by assessment process adopted University. For example, were engage if unavailable time release. issue many others proposed work.

参考文章(102)
Graham Gibbs, Claire Simpson, Conditions Under Which Assessment Supports Students’ Learning University of Gloucestershire. ,(2004)
Janice Orrell, Feedback on learning achievement: rhetoric and reality Teaching in Higher Education. ,vol. 11, pp. 441- 456 ,(2006) , 10.1080/13562510600874235
Dylan Wiliam, Paul Black, Meanings and Consequences: a basis for distinguishing formative and summative functions of assessment? British Educational Research Journal. ,vol. 22, pp. 537- 548 ,(1996) , 10.1080/0141192960220502
Anna D. Rowe, Leigh N. Wood, Student Perceptions and Preferences for Feedback Asian Social Science. ,vol. 4, pp. 78- 88 ,(2009) , 10.5539/ASS.V4N3P78
Colin A. Higgins, Geoffrey Gray, Pavlos Symeonidis, Athanasios Tsintsifas, Automated assessment and experiences of teaching programming Journal on Educational Resources in Computing. ,vol. 5, pp. 5- ,(2005) , 10.1145/1163405.1163410
Melanie R. Weaver, Do Students Value Feedback? Student Perceptions of Tutors' Written Responses. Assessment & Evaluation in Higher Education. ,vol. 31, pp. 379- 394 ,(2006) , 10.1080/02602930500353061
Peter T. Knight, Summative Assessment in Higher Education: Practices in disarray Studies in Higher Education. ,vol. 27, pp. 275- 286 ,(2002) , 10.1080/03075070220000662
Michael Kölling, Bruce Quig, Andrew Patterson, John Rosenberg, The BlueJ system and its pedagogy Computer Science Education. ,vol. 13, pp. 249- 268 ,(2003) , 10.1076/CSED.13.4.249.17496
Yuri Tijerino, Hirohisa Masaki, Nobuku Igaki, AcadeMix Juice- A Hybrid Web 2.0/Semantic Web Platform for Exchange of Academic Knowledge web intelligence. pp. 212- 215 ,(2006) , 10.1109/WI-IATW.2006.26
Anna Eckerdal, Robert McCartney, Jan Erik Moström, Mark Ratcliffe, Carol Zander, Can graduating students design software systems technical symposium on computer science education. ,vol. 38, pp. 403- 407 ,(2006) , 10.1145/1121341.1121468