Intelligent model-based feedback: Helping learners to monitor their individual learning progress
Automated knowledge assessment methodologies provide the technological background for producing instant feedback at all times during the learning process. It is expected that the availability of such individual, dynamic, and timely feedback supports the learner's self-regulated learning. This c...
| Main Author: | |
|---|---|
| Format: | Book Chapter |
| Published: |
2011
|
| Online Access: | http://hdl.handle.net/20.500.11937/43525 |
| _version_ | 1848756720522756096 |
|---|---|
| author | Ifenthaler, Dirk |
| author_facet | Ifenthaler, Dirk |
| author_sort | Ifenthaler, Dirk |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Automated knowledge assessment methodologies provide the technological background for producing instant feedback at all times during the learning process. It is expected that the availability of such individual, dynamic, and timely feedback supports the learner's self-regulated learning. This chapter provides the theoretical background for an intelligent feedback approach and introduces two automated model-based feedback tools: TASA (Text-Guided Automated Self Assessment) and iGRAF (Instant Graphical Feedback). The chapter concludes with a discussion of the two feedback approaches and future research directions. © 2012, IGI Global. |
| first_indexed | 2025-11-14T09:16:41Z |
| format | Book Chapter |
| id | curtin-20.500.11937-43525 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:16:41Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-435252017-09-13T14:01:05Z Intelligent model-based feedback: Helping learners to monitor their individual learning progress Ifenthaler, Dirk Automated knowledge assessment methodologies provide the technological background for producing instant feedback at all times during the learning process. It is expected that the availability of such individual, dynamic, and timely feedback supports the learner's self-regulated learning. This chapter provides the theoretical background for an intelligent feedback approach and introduces two automated model-based feedback tools: TASA (Text-Guided Automated Self Assessment) and iGRAF (Instant Graphical Feedback). The chapter concludes with a discussion of the two feedback approaches and future research directions. © 2012, IGI Global. 2011 Book Chapter http://hdl.handle.net/20.500.11937/43525 10.4018/978-1-60960-842-2.ch006 restricted |
| spellingShingle | Ifenthaler, Dirk Intelligent model-based feedback: Helping learners to monitor their individual learning progress |
| title | Intelligent model-based feedback: Helping learners to monitor their individual learning progress |
| title_full | Intelligent model-based feedback: Helping learners to monitor their individual learning progress |
| title_fullStr | Intelligent model-based feedback: Helping learners to monitor their individual learning progress |
| title_full_unstemmed | Intelligent model-based feedback: Helping learners to monitor their individual learning progress |
| title_short | Intelligent model-based feedback: Helping learners to monitor their individual learning progress |
| title_sort | intelligent model-based feedback: helping learners to monitor their individual learning progress |
| url | http://hdl.handle.net/20.500.11937/43525 |