Intelligent model-based feedback: Helping learners to monitor their individual learning progress
MetadataShow full item record
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.
Showing items related by title, author, creator and subject.
Structured Feedback: Acceptability and Feasibility of a Strategy to Enhance the Role of a Clinical Quality Registry to Drive Change in Cardiac Surgical PracticeNag, N.; Tran, L.; Fotis, K.; Smith, J.; Shardey, G.; Baker, R.; Reid, Christopher (2018)© 2018 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ) Background: The Australian and New Zealand Society of Cardiac and Thoracic ...
Jiwa, Moyez; Walters, S.; Mathers, N. (2004)BACKGROUND: General practitioners (GPs) select few patients for specialist investigation. Having selected a patient, the GP writes a referral letter which serves primarily to convey concerns about the patient and offer ...
Giridharan, Beena; Gopalai, Alpha; Krishnan, Murali; Lau, Crystal (2013)This paper reports from an ongoing study investigating students’ attitudes towards computer mediated audio feedback. There is adequate research evidence to support the notion that feedback affects student learning positively, ...