Students at all levels of education experience difficulties with the concepts of measurement uncertainties. One task that includes concepts of measurement uncertainties is a data comparison problem where students decide whether two datasets are in agreement or not--an authentic scientific practice. To aid students with these concepts and tasks,…

Personalization is crucial for achieving smart learning environments in different lifelong learning contexts. There is a need to shift from one-size-fits-all systems to personalized learning environments that give control to the learners. Recently, learning analytics (LA) is opening up new opportunities for promoting personalization by providing…

This study aims to create learning path navigation for target learners by discovering the correlation among micro-learning units. In this study, the learning path is defined as a sequence of learning units used to realize a learning goal, and a period used for realizing the learning goal is regarded as a learning cycle. Furthermore, the learning…

The impact of the COVID-19 pandemic on the higher education sector has been overwhelming, with emergency responses that have affected decision-making processes. Yet, our understanding of higher education instructors' perspectives regarding the process of data-driven decisions, especially in times of emergency, is still limited. We aimed at…

Learning analytics (LA) has emerged as a field that offers promising new ways to prevent drop-out and aid retention. However, other research suggests that large datasets of learner activity can be used to understand online learning behaviour and improve pedagogy. While the use of LA in language learning has received little attention to date,…

The outbreak of the COVID-19 pandemic has changed education dramatically, with the sudden shift from face-to-face to emergency remote teaching. Online learning environments may facilitate data-driven instructional process; yet, our understanding regarding data-driven decisions is still limited. This quantitative study examined types of learners'…

The explosion of Open Educational Resources (OERs) in the recent years creates the demand for scalable, automatic approaches to process and evaluate OERs, with the end goal of identifying and recommending the most suitable educational materials for learners. We focus on building models to find the characteristics and features involved in…

The purpose of this paper is to identify and explain the best practice of using "big data" reports to help distance learning administrators better understand their own programs and represent them to stakeholders. The authors examine five reports: (1) the number and percentage of graduates from the main campus who also take classes at the…

There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…

In e-learning systems, tutors have a significant impact on learners' life to increase their knowledge level and to make the learning process more effective. They are characterized by different features. Therefore, identifying tutoring styles is a critical step in understanding the preference of tutors on how to organize and help the learners. In…

Personal information is among the most significant assets for businesses today, and clear transactional rules are becoming increasingly important. Organizations, including universities, are charged with more responsibility than ever to protect the personal information used during the course of their business, specifically student data. The paper…

The use of technology to facilitate education and the provision of an entire higher education degree has exploded in the last two decades. Social work educators have been a part of that trend and have started to utilize distance education (DE) technologies. There is a growing literature regarding the efficacy of DE instruction in social work, and…

This non-experimental, quantitative study examined the extent selected state sociopolitical factors relate to adult participation in public two-year colleges, and assessed how Montana compares to those states enrolling the most adult students. Utilizing archived data from the National Center for Education Statistics' (NCES) Integrated…

This report is the twelfth annual report on the state of online learning in U.S. higher education. The survey is designed, administered and analyzed by the Babson Survey Research Group, with data collection conducted in partnership with the College Board and additional data from the National Center for Education Statistics' Integrated…

These proceedings contain the papers of the International Conference on Mobile Learning 2013, which was organised by the International Association for Development of the Information Society, in Lisbon, Portugal, March 14-16, 2013. The Mobile Learning 2013 International Conference seeks to provide a forum for the presentation and discussion of…