Drawing on network behavior literature, this research examines how business students' extra-classroom social network behavior for learning with peers (i.e., horizontal network behavior) and with the instructor (i.e., vertical network behavior) influences their learning, which in turn affects their grade performance. It also investigates the…

Researchers and practitioners from different disciplines (e.g., educational science, computer science, statistics) continuously enter the rapidly developing research field of learning analytics (LA) and bring along different perspectives and experiences in research design and methodology. Scientific communities share common problems, concepts,…

Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable…

Background: There is a growing emphasis on integrating engineering design into K-12 science, technology, engineering, and mathematics (STEM) education. Prior studies have primarily examined the impact of engineering design on student learning outcomes or employed frequency-based static statistical analyses, rather than focusing on student learning…

This research aimed to explore (1) the characteristics and patterns of student interactions on online discussion boards throughout a course using social network analysis (SNA) and (2) the mediating effect of social presence, as the underlying mechanism, on the relationship between these interactions and students' learning outcomes. Eighty-four…

This dissertation examines the interaction patterns that happen in an online learning environment. While many studies look at online learning through the lens of the learner or the learning environment, few studies look at the interaction patterns that happen through the digital traces captured by computational tools. Based on the conceptual…

This paper proposes a multilayered methodology for analyzing distance learning students' data to gain insight into the learning progress of the student subjects both in an individual basis and as members of a learning community during the course taking process. The communication aspect is of high importance in educational research. Additionally,…

The dynamics of mastering the degrees of freedom in motor learning are still far from being understood. The present work explored coordination dynamics in a redundant task, relating it to performance and adaptation in a serial stimulus tracking task. One hundred and sixty-three children (10-14 years of age) continuously responded to sequential…

Although learner interactions in forums are well-documented, research on instructor engagement strategies in MOOC forums and their impact on forum dynamics is limited. This study offers a distinctive approach by categorizing instructor strategies into four types: communicative, integrative, task-oriented, and non-interventionist. Six prominent…

Background: Select and enact appropriate learning tactics that advance learning has been considered a critical set of skills to successfully complete highly flexible online courses, such as Massive open online courses (MOOCs). However, limited by analytic methods that have been used in the past, such as frequency distribution, sequence mining and…

Increased levels of internationalization have led to individuals working in multicultural organizations, a trend that is likely to continue for the foreseeable future. To navigate these environments successfully, more emphasis is being placed on the importance of higher education in preparing and arming the future workforce with the international…

Background: This study aimed to develop and test new analytics for knowledge-building practices from the transactive perspective. Based on a literature review, network analysis was identified as a promising analytical tool for these practices. We observed two aspects of network analysis that could be further developed: the multilayers of networks…

Humans have always been lured by the idea that they can use data to understand a phenomenon and make predictions about it. Learning analytics, in this sense, promise to understand and optimize learning and the environments in which it occurs by collecting data from learners and learning contexts. In this regard, this study systematically examines…

This study combines research methods from student approaches to learning research and social network analysis (SNA) to examine patterns of students' collaborative learning based on their learning orientations amongst 193 postgraduates enrolled in a blended course. The study identified two distinct learning orientations, namely 'understanding' and…

How do people acquire knowledge about which individuals belong to different cliques or communities? And to what extent does this learning process differ from the process of learning higher-order information about complex associations between nonsocial bits of information? Here, the authors use a paradigm in which the order of stimulus presentation…