This paper presents a systematic literature review of the coordinated use of Learning Analytics and Computational Ontologies to support educators in the process of academic performance evaluation of students. The aim is to provide a general overview for researchers about the current state of this relationship between Learning Analytics and…

In recent years, the academic industry has seen a widespread development of digital technology and learning analytics. Certainly, the exchange of automatic processing has opened a broad set of new ways and opportunities, allowing additional emphasis on interaction and connectivity. This new learning approach provides improvement in the development…

An association between students' learn-online engagement and academic performance was investigated for a third-year Water Resources Systems Design course at the University of South Australia in 2017. As the patterns of data were non-parametric, Mann-Whitney and Kruskal-Wallis tests were performed using SPSS. It was revealed from the test results…

This study investigates how teachers use dashboards in primary school classrooms. While learners practice on a tablet real-time data indicating learner progress and performance is displayed on teacher dashboards. This study examines how teachers use the dashboards, applying Verberts' learning analytics process model. Teacher dashboard…

This paper provides a novel instructional methodology that is designed to conceptually address the four main challenges faced by 21st century students, who must learn in a multitude of educational settings (face to face, hybrid and online). The online learning neuroscience supported instructional methodology detailed in this article also provides…

Understanding the role of teaching presence in students' learning can help improve online teaching. This study explored the effects of online teaching presence on students' cognitive conflict and engagement by analyzing three rounds of a course taught with different levels of teaching presence. The participants were 132 students enrolled across…

Educational data mining focuses on exploring increasingly large-scale data from educational settings, such as Learning Management Systems (LMS), and developing computational methods to understand students' behaviors and learning settings better. There has been a multitude of research dedicated to studying the student learning process, leading to…

This case study details the implementation of task-specific PowerPoint™ presentations for an undergraduate diagnostic radiography module in response to the first COVID-19 lockdown in the United Kingdom. A series of short, focussed learning materials was created over a two-month period to alleviate student anxieties and improve assessment literacy…

This edited volume explores institutional responses, equity in open education, and the future of higher education in a post-pandemic world, offering valuable insights into effective pedagogical practices and policy recommendations to sustain the advancements made during the pandemic. Through providing a concise overview of the collective insights…

In order to enhance the experience of learning, many educators applied learning analytics in a classroom, the major principle of learning analytics is targeting at-risk student and given timely intervention according to the results of student behavior analysis. However, when researchers applied machine learning to train a risk identifying model,…

This book explains how educators can use artificial intelligence in education to enhance student engagement and improve learning outcomes by sharing best practices for using AI to enhance learning quality and foster sustainable teaching. This book covers various topics related to the use of AI in education, from designing activities to using AI in…

Precision education requires two equally important conditions: accurate predictions of academic performance based on early observations of the learning process and the availability of relevant educational intervention options. The field of learning analytics (LA) has made important contributions to the realisation of the first condition,…

Aim/Purpose: This research aims to present a brand-new approach for student performance prediction using the Learning Fuzzy Cognitive Map (LFCM) approach. Background: Predicting student academic performance has long been an important research topic in many academic disciplines. Different mathematical models have been employed to predict student…

Distance learning is rapidly gaining ground globally. In this case study, we focused on professional (vocational) teacher education (PTE) student online activity in a blended learning context. We applied learning analytics (LA) to identify students' (n = 19) online study patterns. Our key interest was in determining when and what kinds of online…

For this 14th iteration of the International Conference on Educational Data Mining (EDM 2021), the conference was held completely online. EDM is organized under the auspices of the International Educational Data Mining Society and was meant to happen in Paris, France. The official theme of this year's conference was Shifting Landscape of…