The evolution of individual and global learning preferences is influenced by correlation factors. This study introduces a novel evolutionary modeling approach to observe and analyze factors that affect the evolution of learning preferences. The influencing factors considered in this study are closely interwoven with the underlying personality of…

In a literary studies-focused Collaborative Online International Learning (COIL) project, students?from Catalonia, Spain and the U.S. experienced holistic learning activities that hinged experiential analysis and interpretation practice to urgent problems of social and economic instability. By using the UN Sustainable Development Goals (SDGs) to…

In the wake of the COVID-19 pandemic, online learning has become a central component of higher education in the United States, elevating the importance of the Chief Online Learning Officer (COLO) role in implementation, leadership, and strategic development. This national study builds on previous COLO research conducted in 2017 and 2018, as well…

Purpose: This study examined students' perspectives on teachers' written formative feedback on their writing assignments in an online learning setting. Design/methodology/approach: A qualitative approach was used to gain insights into the effect of individual written formative feedback on writing assignments from teachers in an online setting.…

Fostering learning persistence among university students is a critical function of e-learning platforms. However, previous research on e-learning has focused primarily on the impacts of content and instructional styles on the usefulness and effectiveness of a single approach, neglecting the environmental factors. Therefore, this study fills this…

This paper explores the complex, discursive constructions of relationships in online learning communities in the pursuit of equity and diversity. Using Braidotti's (2019) posthuman theory and diverse intellectual traditions, the authors contemplate how subjectivities and relationality complicate discourse on relationships and relationalities,…

The increasing rate of permanent school closures in U.S. public school districts presents unprecedented challenges for administrators and communities alike. This study develops an early-warning indicator model to predict mass closure events -- defined as a district closing at least 10% of its schools -- five years in advance. Leveraging…

It is rare to run practical and Health Online and Distance Education professional programmes in West Africa. This research identifies one of the rare nursing programmes by an Online Distance Education mode. It further explored the lived experiences of a total of 13 top managers and educators (four females and nine males) who primarily organise,…

The rapid shift to online learning during the COVID-19 pandemic highlighted the need to equip future educators with essential skills for an online learning environment. This study aims to address this gap by developing and validating a scale to measure pre-service teacher competency in an online learning context using the scenario method. After a…

This study investigated the relationship among e-learning readiness, learning engagement, and learning performance of preservice teachers in HyFlex learning environments. To identify the causal relationship, data collected from 776 preservice teachers at four universities in the Philippines were analyzed using structural equation modeling (SEM).…

This is an open access book. The shift from traditional teaching to digital learning presents a significant challenge for many educators. Navigating the complexities of digital course designs can often lead to suboptimal learning experiences that fail to engage learners effectively. "Digital Learning Design: Designing Effective Online and…

With the increasing use of mobile applications for educational purposes among university students, enhancing the efficiency of mobile instruction and learning is a key concern in higher education. It is, therefore, necessary to explore students' mobile learning habits and to identify the factors that influence their mobile learning to further…

The increasing use of learning management systems (LMSs) generates vast amounts of clickstream data, opening new avenues for predicting learner performance. Traditionally, LMS predictive analytics have relied on either supervised machine learning or Markov models to classify learners based on predicted learning outcomes. Machine learning excels at…

This study explores the effectiveness of different problem-posing approaches in improving learning outcomes and problem-posing abilities among prospective mathematics teachers. This study employed a pre- and post-tests control group experimental design. The experimental group engaged in online and direct problem-posing, the comparison group used…

This exploratory study investigates the relationship between students' anxiety and social presence (SP) in virtual exchange (VE). While existing literature predominantly focuses on a single type of anxiety in online learning (i.e., FLA or online learning anxiety), this study examines (a) the various types of anxiety students experience in…