One significant challenge in the field of measuring ability is measuring the current ability of a learner while they are learning. Many forms of inference become computationally complex in the presence of time-dependent learner ability, and are not feasible to implement in an online context. In this paper, we demonstrate an approach which can…

This experimental research study examined the effects of using a mobile learning environment (MLE) that provided scaffolded assistive tutoring on student achievement in a Circuit Analysis (Network Theory) course. It also aimed to examine the relationships between students' user learning analytics and their learning outcomes. The design and…

Thanks to an increase in the amount of information on the Internet and the spread of ICT-supported educational environments, much attention has been paid to learning support based on "smart" recommendation technologies. In this study, we propose an education improvement model based on the recommender system using the human-in-the-loop…

Access to big data, the "new commodity" for the 21st century economies, and its uses and potential abuses, has both conceptual and methodological impacts for the field of comparative and international education. This book examines, from a comparative perspective, the impact of the movement from the so-called knowledge-based economy…

This chapter considers some of the limit points of contemporary relations between International Large-Scale Assessments, learning analytic platforms, and theories of mind circulating in contemporary comparative and transnational educational policy discourses. First, aspects of the rise of Big Data and predictive analytics are historicized, with…

Small private online courses (SPOCs) have influenced teaching and learning in China's higher education. Learning management systems (LMSs) are important components in SPOCs. They can collect various data related to student behavior and support pedagogical interventions. This research used feature engineering and nearest neighbor smoothing models…

This study investigated how English learners complete multimodal formative quizzes. Participants included 17,950 students enrolled in a mandatory English for Academic Purposes course at a university in Hong Kong. We retrieved data from Blackboard, a learning management system, and conducted a two-step cluster analysis to examine student…

The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…

Background: Data-driven learning (DDL) has been regarded as one of the promising approaches that could effectively enhance writing performance of English as a foreign language (EFL) learners. Although extensive research has been conducted on the use of DDL in developing various aspects of writing skill, there exist only few studies to date that…

The Powered by Publics (PxP) initiative has been an ambitious undertaking from the beginning, aiming to produce hundreds of thousands more undergraduate degrees and halving equity gaps for low-income, minoritized, and first-generation students by 2025. APLU has collected student performance data from the 127 participating institutions over the…

Research involving digital games and language learning is rapidly growing. One advantage of using digital games to support language learning is the ability to collect data on students learning in real time. In this study, we use educational data mining methods to explore the relationship between in-game data and elementary students' Chinese…

Language learning engagement has awakened interest in recent decades. This has taken place because engagement enables students to perform physical and mental, goal-directed, and purpose-driven activities. Unfortunately, keeping students emotionally engaged during Emergency Remote Teaching (ERT) remains under-researched. Therefore, this study…

With the outbreak of COVID-19 in 2020, many universities shifted to online teaching. However, some online instruction had already been implemented well before the pandemic. This study investigates (1) how engagement in blended CALL activities differed during the pandemic, and (2) in what ways the assessment outcomes were associated with student…

Current technologies for qualitative data analysis treat all types of data analysis as a homogeneous category, and for this reason, the value of other technologies for a discourse analysis of transcripts is not well examined. Therefore, the current study addresses how qualitative data can be analyzed by a learning analytic tool, such as Knowledge…

Learning Management Systems (LSM) have been adopted to provide interaction between instructors and students in online learning courses. In these environments, large volumes of messages are exchanged, making it difficult for the participants to follow all the discussions. When messages are ignored, students' opportunities to effectively construct…