| Kitap Adı | Assessment Analytics in Education |
| Bölüm(ler) | Assessment Analytics: Feedback, Feedup, Feedforward on Bayesian Network |
| Bölüm Sayfaları | 277-291 |
| Kitap Türü | Kitap Bölümü |
| Kitap Alt Türü | Alanında uluslararası yayınlanan kitap bölümü |
| Kitap Niteliği | Diğer uluslararası bilimsel kitap |
| Kitap Dili | İngilizce |
| Basım Tarihi | 01-2024 |
| ISBN | 978-3-031-56364-5 |
| Basıldığı Ülke | |
| Basıldığı Şehir | |
| Kitap Linki | https://link.springer.com/book/10.1007/978-3-031-56365-2 |
| Özet |
| Assessments play a crucial role in supporting the learning process by providing learners with formative feedback on their current performance and suggestions for improvement. This chapter focuses on the utilization of assessment analytics to strengthen the dimensions of feedback, feedup, and feedforward. The aim is to complement the value of feedback in practice by integrating learning analytics. In the context of learning analytics, a holistic feedback design is explored, particularly concerning the underdeveloped area of feedforward research. Additionally, using data in assessment processes is emphasized for effective learning analytics. This research endeavours to establish assessment analytics at four levels, mirroring learning analytics: (1) descriptive assessment analytics, (2) predictive assessment analytics, (3) prescriptive assessment analytics, and (4) diagnostic assessment analytics. A dashboard is … |
| Anahtar Kelimeler |