Digital learning environments are becoming increasingly ubiquitous as a wide range of EdTech products and services enter classrooms and households across the globe. One salient attribute of these environments is their capacity to generate large amounts of data as students interact with the technology. These data logs can help construct a detailed…

With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…

Digital transformation (Dx) refers to a series of deep and coordinated culture, workforce, and technology shifts that enable new educational and operating models and transform an institution's business model, strategic directions, and value proposition. Dx initiatives on many campuses are anchored in student success goals. As a result of this…

Video clickstream behaviors such as pause, forward, and backward offer great potential for educational data mining and learning analytics since students exhibit a significant amount of these behaviors in online courses. The purpose of this study is to investigate the predictive relationship between video clickstream behaviors and students' test…

This study investigates the process of designing the functionalities of an online learning platform put forward by three types of its users: students, academics and admin staff. Moreover, the study intends to get an insight into the impact the attitudes of the participants of the instruction process have on the process of the platform…

Academic advising is a time-consuming activity that takes a considerable effort in guiding students to improve student performance. Traditional advising systems depend greatly on the effort of the advisor to find the best selection of courses to improve student performance in the next semester. There is a need to know the associations and patterns…

The use of online video lectures in universities, primarily for content delivery and learning, is on the rise. Instructors' ability to recognize and understand student learning experiences with online video lectures, identify particularly difficult or disengaging content and thereby assess overall lecture quality can inform their instructional…

This report reviews the outcomes of Erasmus+ projects promoting inclusion in education, implemented between 2014 and 2020. Starting from an inventory of 120 Erasmus+ projects labelled as 'good practice' in the Erasmus+ projects database, 15 projects were selected for further examination as case studies. The report summarises the main findings of…

Online "Peer Instruction" has become prevalent in many "flipped classroom" settings, yet little work has been done to examine the content students generate in such a learning environment. This study characterizes a dataset generated by an open-source, web-based homework system that prompts students to first answer questions,…

With technological advances, distance education has been frequently discussed in recent years. The learning environments used in this course usually generates a great deal of data because of the large number of students and the various tasks involving their interaction. In order to facilitate the analysis of the data, the authors researched to…

The emergence of digital tools, including tablets with a multitude of built-in sensors, allows gathering many geological observations digitally and in a geo-referenced context. This is particularly important in the polar environments where (1) limited time is available at each outcrop due to harsh weather conditions, and (2) outcrops are rarely…

Student veterans face a unique educational challenge: The same characteristics that signal their potential for academic success often create the obstacles to achieving it. Student veterans are typically older, married, have families and financial obligations, and often either serve as a caregiver or are being treated for a personal disability.…

Data increasingly mediates how we understand the world. As such, there is growing interest in designing initiatives to help young people learn about data--not only the techno-mathematical skills necessary to work with data, but also the dispositions needed to participate in data-centric ways of knowing and doing. In this article, we argue that as…

As enrollments and class sizes in postsecondary institutions have increased, instructors have sought automated and lightweight means to identify students who are at risk of performing poorly in a course. This identification must be performed early enough in the term to allow instructors to assist those students before they fall irreparably behind.…

The present study uses a text data mining approach to automatically discover learner interests in open learning environments. We propose a method to construct learner interests automatically from the combination of learner generated content and their dynamic interactions with other learning resources. We develop a learner-topic model to discover…