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Beyond Predictive Learning Analytics Modelling and onto Explainable Artificial Intelligence with Prescriptive Analytics and ChatGPT
A significant body of recent research in the field of Learning Analytics has focused on leveraging machine learning approaches for predicting at-risk...
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Big data and predictive analytics: A systematic review of applications
Big data involves processing vast amounts of data using advanced techniques. Its potential is harnessed for predictive analytics, a sophisticated...
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Predictive Analytics in Education
You can make better predictions by analyzing your current data. It is no secret that predictive analytics is changing the educational landscape....
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Transfer learning: a cross domain LSTM way towards sustainable power predictive analytics
The most prevalent sustainable power generating resource that is reliable and widely installed for household or smaller localities is solar panels....
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A survey of long short term memory and its associated models in sustainable wind energy predictive analytics
Sustainable energy is the new normal towards saving the environment, thus resources generating sustainable green energy have gained global attention....
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A predictive analytics framework for sensor data using time series and deep learning techniques
IoT devices convert billions of objects into data-generating entities, enabling them to report status and interact with their surroundings. This data...
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Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)
The last few years have witnessed an upsurge in the number of studies using Machine and Deep learning models to predict vital academic outcomes based...
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Predictive Analytics for Targeting Decisions
Predictive Analytics (PA) models are assuming increasing role in the world of big data for making decisions in many industries – marketing, banking,...
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A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics
In this paper, we propose an Intelligent Decision Support System (IDSS) for the design of new textile fabrics. The IDSS uses predictive analytics to...
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A Reference Process for Assessing the Reliability of Predictive Analytics Results
Organizations employ data mining to discover patterns in historic data in order to learn predictive models. Depending on the predictive model the...
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Predictive Analytics for University Student Admission: A Literature Review
This paper presents a literature review on the use of learning analytics to support prediction in university student admission. The review covers...
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Learning analytics dashboards are increasingly becoming about learning and not just analytics - A systematic review
This systematic review explores the emerging themes in the design and implementation of student-facing learning analytics dashboards in higher...
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Predictive Modelling in Learning Analytics: A Machine Learning Approach in R
Prediction of learners’ course performance has been a central theme in learning analytics (LA) since the inception of the field. The main motivation...
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Data Science and Predictive Analytics Biomedical and Health Applications using R
This textbook integrates important mathematical foundations, efficient computational algorithms, applied statistical inference techniques, and...
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Behavioral Predictive Analytics Towards Personalization for Self-management: a Use Case on Linking Health-Related Social Needs
The objective of this research is to investigate the feasibility of applying behavioral predictive analytics to optimize patient engagement in...
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Predictive privacy: towards an applied ethics of data analytics
Data analytics and data-driven approaches in Machine Learning are now among the most hailed computing technologies in many industrial domains. One...
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Big Data Analytics
This chapter introduces the dynamic domain of big data analytics, illuminating its multifaceted aspects and profound significance. It commences by...
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Predictive modelling and analytics of students’ grades using machine learning algorithms
The outbreak of COVID-19 has caused significant disruption in all sectors and industries around the world. To tackle the spread of the novel...
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Discovering Actionable Knowledge for Industry 4.0: From Data Mining to Predictive and Prescriptive Analytics
Making sense of the vast amounts of data generated by modern production operations—and thus realizing the full potential of digitization—requires...
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Applying Predictive Analytics Algorithms to Support Sales Volume Forecasting
Caompanies struggle with predictive analytics (PA), which aims to be a “modern” crystal ball. But how does one choose the “right” algorithms? Based...