Undergraduate enrollment in online courses has been trending upward over the past decade, despite declining enrollment overall. With the onset of COVID-19 during the Spring 2020 semester, more undergraduates were suddenly thrust into online courses. Although learning outcomes for face-to-face and online courses may not differ, some students may…

Data-driven platforms with rich data and learning analytics applications provide immense opportunities to support collaborative learning such as algorithmic group formation systems based on learning logs. However, teachers can still get overwhelmed since they have to manually set the parameters to create groups and it takes time to understand the…

Learners' success in language learning is affected by many factors, including age, aptitude, and intelligence, cognitive style, attitudes, motivation, and personality. Besides, learning strategies and learning styles also help to succeed in language learning. This paper discusses the learning style preferences of the first-year students at English…

Although dual enrollment programming and interest in how that programming shapes students' college outcomes have expanded considerably in the past 20 years, policymakers, educational administrators, and practitioners do not have adequate information about which dual enrollment structural options are most effective. Using statewide administrative…

While digital multimodal composing, underpinned by a critical literacies approach, provides opportunities for students to make informed semiotic choices and voice concerns about social issues, there is limited research exploring how digital multimodal composing is employed to interrogate and challenge the entanglements of language, immigration…

Knowledge of the appropriate learning styles in which students approach the study supports the effectiveness of the teaching process. There is international research that explores the factors that influence student learning styles or students' preferences. The results of some research based on the similar methodologies are inconsistent. The aim of…

This article addresses the question of whether higher education Hispanic students of different nationalities have different perceptual learning style preferences. Independent samples t test results suggest students of non-Mexican heritage prefer visual learning styles more than students of Mexican heritage. ANOVA results show older students and…

Learning styles are the differences in personal characteristics, strengths and preferences, describing how individuals acquire, process and store information. Learners approach information differently from each other due to their different instincts and natural dispositions. In the pretext of learning styles what is being taught has least…

This paper presents a large scale study of online MLIS students (n = 910), who completed at least one online course and were enrolled in 36 of the 58 ALA-accredited MLIS programs in Canada and the United States. The results indicate that the typical student is female, White, lives in an urban setting, and is in her mid-30s. Online students were…

Many studies report information overload as one of the main problems that students encounter in online learning via computer-mediated communication. This study aimed to explore the sources of online students' information overload and offer suggestions for increasing students' cognitive resources for learning. Participants were 12 graduate students…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…