Student performance prediction with short-term sequential campus behaviors
X Wang, X Yu, L Guo, F Liu, L Xu - Information, 2020 - mdpi.com
As students' behaviors are important factors that can reflect their learning styles and living
habits on campus, extracting useful features of them plays a helpful role in understanding …
habits on campus, extracting useful features of them plays a helpful role in understanding …
[PDF][PDF] An Overview of Recent Developments in Intelligent e-Textbooks and Reading Analytics.
D Boulanger, V Kumar - iTextbooks@ AIED, 2019 - ceur-ws.org
This paper synthesizes recent developments in intelligent textbooks over the last five years
and identifies potential research areas of interest to the AIED community. It characterizes …
and identifies potential research areas of interest to the AIED community. It characterizes …
Using interactive e-book user log variables to track reading processes and predict digital learning outcomes
Stealth assessment has been successfully embedded in educational games to measure
students' learning in an unobtrusive and supportive way. This study explored the possibility …
students' learning in an unobtrusive and supportive way. This study explored the possibility …
[PDF][PDF] Joint activity on learner performance prediction using the BookRoll dataset
In this paper, we introduce the BookRoll dataset that was provided for analysis in the joint
activity on learning performance prediction in the Learning Analytics workshop at ICCE2018 …
activity on learning performance prediction in the Learning Analytics workshop at ICCE2018 …
How Is Socially Responsible Academic Performance Prediction Possible?: Insights From a Concept of Perceived AI Fairness
The availability of big data at universities enables the use of artificial intelligence (AI)
systems in almost all areas of the institution: from administration to research, to learning and …
systems in almost all areas of the institution: from administration to research, to learning and …
A framework to foster analysis skill for self-directed activities in data-rich environment
Self-direction skill is considered a vital skill for twenty-first-century learners in both the
learning context and physical activity context. Analysis skill for self-directed activities …
learning context and physical activity context. Analysis skill for self-directed activities …
[PDF][PDF] Design, Implementation and Evaluation of a Learning Analytics Intervention Framework
K Alalawi - 2023 - nova.newcastle.edu.au
This chapter introduces the thesis by presenting background information on the increasing
importance of technology for enhancing educational outcomes. The significance of and …
importance of technology for enhancing educational outcomes. The significance of and …
[PDF][PDF] Wissen, wo das Wissen ist.
The availability of big data at universities enables the use of artificial intelligence (AI)
systems in almost all areas of the institution: from administration to research, to learning and …
systems in almost all areas of the institution: from administration to research, to learning and …
[PDF][PDF] From Collecting, Integrating, and Visualizing Student Data to Predicting Student Dropout and Performance
A Askinadze - d-nb.info
Advancing digitization is leading to more and more data, making the storage, integration,
and processing of these large amounts of data (often referred to as big data) a challenge. As …
and processing of these large amounts of data (often referred to as big data) a challenge. As …
[PDF][PDF] Regression Modeling based on Rearing Climate Conditions for Animal Welfare Improvement
C Ogier - research.tue.nl
Animal well-being has become over the past few years a matter of interest for people, and
even if the health and happiness of our domestic animal is of natural concern, the well-being …
even if the health and happiness of our domestic animal is of natural concern, the well-being …