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Though a number of technology-based approaches have been applied to higher education in a bid to boost student retention, student progression and cost saving, gaps exist. This work introduces Learning Analytics (LA) as antidote. LA ensures that the humongous learner-related data in higher institutions are harnessed for improved learning and the environment it takes place. The LA systems elicit hidden pattern in data and is trained using same observational data for purposes of classifying, recognizing, and predicting learners' behaviours. This way, decision making in higher institutions is based on reliable and factual information leading to improved higher educational services. The model proposed indicates that LA systems can be trained using machine learning algorithms as integral part of the application of data analytics in the learning environment.
| Autorius: | Emmanuel Okewu |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2017 |
| Knygos puslapių skaičius: | 64 |
| ISBN-10: | 3330336072 |
| ISBN-13: | 9783330336070 |
| Formatas: | 220 x 150 x 4 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Learning Analytics Systems in Higher Education“
