Learning performance data, such as correct or incorrect answers and problem-solving attempts in intelligent tutoring systems (ITSs), facilitate the assessment of knowledge mastery and the delivery of effective instructions. However, these data tend to be highly sparse (80%90% missing observations) in most real-world applications. This data…

Data mining approaches have been widely used to estimate student performance in online education. Various Machine Learning (ML) based data mining techniques have been developed to evaluate student performance accurately. However, they face specific issues in implementation. Hence, a novel hybrid Elman Neural with Apriori Mining (ENAM) approach was…

Novice programmers often struggle on assignments, and timely help, such as a hint on what to do next, can help students continue to progress and learn, rather than giving up. However, in large programming classrooms, it is hard for instructors to provide such real-time support for every student. Researchers have, therefore, put tremendous effort…

Predictive analytics are increasingly pervasive in higher education. However, algorithmic bias has the potential to reinforce racial inequities in postsecondary success. We provide a comprehensive and translational investigation of algorithmic bias in two separate prediction models--one predicting course completion, the second predicting degree…

This contribution takes a critical perspective on digital school performance platforms (SPP), which today play a key role in US state education monitoring and accountability. Using examples from two different US state education agencies, I provide an analytical disentanglement of some key dimensions of such platforms' enactment and materiality. I…

Relying on the background of big data, this paper introduces the blended teaching model into the secondary vocational Japanese oral classroom and explores whether the teaching model is conducive to the improvement of the secondary vocational Japanese oral learning effect and teaching effect. In order to make this research more scientific and…

In this contribution to the Platform Studies in Education symposium, Luci Pangrazio, Amy Stornaiuolo, T. Philip Nichols, Antero Garcia, and Thomas M. Philip explore how digital platforms can be used to build knowledge and understanding of datafication processes among teachers and students. The essay responds to the turn toward data-driven teaching…

Higher education institutes experience lower success rates in online learning environments compared to traditional learning. Students' engagement within the learning management system (LMS) is one of the main factors affecting students' academic performance and retention. This quantitative correlational-predictive study examined if, and to what…

The Cobb Teaching & Learning System (CTLS) is a digital learning initiative developed for and by the Cobb County School District (CCSD) in Georgia. CTLS became a crucial initiative used by the district to maintain student academic progress during the COVID-19 pandemic. Adopting a mixed-methods approach, this case study seeks to analyze CTLS's…

Procrastination is a well-known phenomenon experienced by a lot of people in everyday life. People sometimes intentionally, sometimes unintentionally put off their tasks even though they might be worse off due to the delay (e.g., not paying bills due, even though they have sufficient funds in their bank account). It is safe to say everybody…

College students have a better chance of succeeding in school when they receive high-quality advising. High-quality advising, when characterized by frequent communications between advisers and students, early outreach to students showing signs of academic or nonacademic struggles, and personalized guidance that addresses individual student needs,…

Two of the most important issues facing those in the field of academic advising are the use of technology and data analytics. There is no question that technology and data will shape the delivery and expectations for academic advising in higher education in the years to come. This chapter explores the intersections between advising, technology,…

In recent studies, there has been focus on understanding learner performance and behaviour using Web-Based Instruction (WBI) systems which accommodate individual differences. Studies have investigated the performance of these differences individually such as gender, cognitive style and prior knowledge. In this article, the authors describe a…

Before the COVID-19 pandemic, the world struggled to address growing educational inequalities and fulfil the commitment to Sustainable Development Goal 4, which seeks to ensure inclusive and equitable quality education and promote lifelong learning opportunities for all. The pandemic has exacerbated these inequalities and changed how education…

Massive open online courses (MOOCs) face persistent challenges related to student performance, including high rates of attrition and low student achievement scores. Previous studies that have examined the performance of students in MOOCs have done so using qualitative analysis and the quantitative analysis of small samples. This study is the first…