Introduction
Data Science (DS) is considered as a combination of many fields including big data, data analytics, software engineering, data engineering, machine learning (ML), and predictive analytics.
DS processes big data, generates patterns, and provides decision makers with insightful information using data analytics and machine learning (ML).
Big data is a collection, retrieval, and transformation of large sets of data.
DS in Teaching & Learning
- Track learners' activities and experiences and store them within online settings.
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Big data sets are accessed from various sources including LMSs, SISs, social networks, web tools, and other available sources.
- Provide information on student learning experience and performance.
- Improve instructional design and student advising.
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Date of last modification: 2023