Flipped classroom (FC) approaches have gotten substantial attention in the last decade because they have a potential to stimulate student engagement as well as active and collaborative learning. The FC is generally defined as a strategy that flips the traditional education setting, i.e., the information transmission component of a traditional…

There is increasing interest around the use of microcredentials for upskilling, employability, professional development, and reaching a wide range of learners. However, little discussion exists around the use of microcredentials to contribute towards broader qualifications and accreditation. This paper investigates the use of a series of…

Interdisciplinary training for doctoral students is an emerging scenario in higher education. The learning relations of knowledge transfer (KT: transferring knowledge from one person to another) and knowledge integration (KI: integrating or synthesizing perspectives from different disciplines) built by doctoral students play an important role 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,…

The use of analytical methods from learning analytics (LA) research combined with visualizations of learning activities using learning design (LD) tools and frameworks has provided important insight into how instructors design for learning. Nonetheless, there are many subtle nuances in instructors' design decisions that might not easily be…

This study presents an advanced predictive learning analytics system, OU Analyse (OUA), and evidence from its evaluation with online teachers at a distance learning university. OUA is a predictive system that uses machine learning methods for the early identification of students at risk of not submitting (or failing) their next assignment.…

There has been a growing interest in how teaching might be informed by "learning design" (LD), with a promising method for investigating LD being offered by the emerging field of "learning analytics" (LA). In this study, we used a novel LA for LD methodology to investigate the implementation of LD in an online distance learning…

Much research in face-to-face contexts outlines the importance of early adjustment on students' higher education experiences. However, few studies have replicated this research in distance learning contexts to unpack the early multifaceted adjustments associated with studying in absence of a physical campus. This is particularly needed from a…

Learning analytic models are built upon traces students leave in technology-enhanced learning platforms as the digital footprints of their learning processes. Learning analytics uses these traces of learning engagement to predict performance and provide learning feedback to students and teachers when these predictions signal the risk of failing a…

Although the importance of boundary spanning in blended and online learning is widely acknowledged, most educational research has ignored whether and how students learn from others outside their assigned group. One potential approach for understanding cross-boundary knowledge sharing is Social Network Analysis (SNA). In this article, we apply four…

There is an urgent need to develop an evidence-based framework for learning analytics whereby stakeholders can manage, evaluate, and make decisions about which types of interventions work well and under which conditions. In this article, we will work towards developing a foundation of an Analytics4Action Evaluation Framework (A4AEF) that is…

In this empirical study, we investigate the role of national cultural dimensions as distal antecedents of the use intensity of e-tutorials, which constitute the digital component within a blended learning course. Profiting from the context of a dispositional learning analytics application, we investigate cognitive processing strategies and…

A vast body of research has indicated the importance of distinguishing new vs. continuing students' learning experiences in blended and online environments. Continuing learners may have developed learning and coping mechanisms for "surviving" in such learning environments, while new learners might still need to adjust their learning…

The Community of Inquiry (CoI) model provides a well-researched theoretical framework to understand how learners and teachers interact and learn together in computer-supported collaborative learning (CSCL). Most CoI research focuses on asynchronous learning. However, with the arrival of easy-to-use synchronous communication tools the relevance of…

A key concern for most institutions and instructors is whether students are satisfied with their learning experience. However, relatively few studies have unpacked what the key drivers for learner satisfaction are in blended and online courses. Using logistical regression modelling, learner satisfaction data of 62,986 learners in 401 undergraduate…