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Ilic, Peter – International Association for Development of the Information Society, 2019
This paper reflects on an attempt to introduce smartphones into a blended learning context and highlights several methodological considerations relevant to the collection of mobile data. While mixed methods are now common, using this approach for investigating the challenges of mobile data collection is not as common. This study employed a mixed…
Descriptors: Active Learning, Handheld Devices, Telecommunications, Blended Learning
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Wang, Yuping; Qi, Grace Yue – Language Learning & Technology, 2018
In the last five years or so, research has extensively explored the benefits and problems of flipped classrooms in helping improve the student learning experience. However, little attention has been given to the kinds of support that students would need in the process of mastering learning outside class. To address this gap in research and…
Descriptors: Mastery Learning, Second Language Learning, Chinese, Foreign Countries
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Gitinabard, Niki; Barnes, Tiffany; Heckman, Sarah; Lynch, Collin F. – International Educational Data Mining Society, 2019
Students' interactions with online tools can provide us with insights into their study and work habits. Prior research has shown that these habits, even as simple as the number of actions or the time spent on online platforms can distinguish between the higher performing students and low-performers. These habits are also often used to predict…
Descriptors: Blended Learning, Student Adjustment, Online Courses, Study Habits
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Tempelaar, Dirk – International Association for Development of the Information Society, 2017
This empirical study aims to demonstrate how Dispositional Learning Analytics can contribute in the investigation of the effectiveness of didactical scenarios in authentic settings, where previous research has mostly been laboratory based. Using a showcase based on learning processes of 1080 students in a blended introductory quantitative course,…
Descriptors: Educational Principles, Learning Processes, Vignettes, Demography
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Crossley, Scott; Barnes, Tiffany; Lynch, Collin; McNamara, Danielle S. – International Educational Data Mining Society, 2017
This study takes a novel approach toward understanding success in a math course by examining the linguistic features and affect of students' language production within a blended (with both on-line and traditional face to face instruction) undergraduate course (n=158) on discrete mathematics. Three linear effects models were compared: (a) a…
Descriptors: Success, Mathematics Instruction, Language Usage, Blended Learning
Eybers, Sunet; Hattingh, Mariè – International Association for Development of the Information Society, 2016
Data is everywhere. As a result the need for data scientists with the correct skill set to analyze and interpret the data has escalated. Not surprisingly, data scientists are currently one of the most wanted professions. Tertiary institutions are faced with the challenge of producing students with the correct blend of theoretical knowledge and…
Descriptors: Foreign Countries, Graduate Students, Data Analysis, Statistics
Katsa, Maria; Sergis, Stylianos; Sampson, Demetrios G. – International Association for Development of the Information Society, 2016
The Flipped Classroom model (FCM) is a promising blended educational innovation aiming to improve the teaching and learning practice in various subject domains and educational levels. However, despite this encouraging evidence, research on the explicit benefits of the FCM on K-12 Mathematics education is still scarce and, in some cases, even…
Descriptors: Blended Learning, Mathematics Education, Algebra, Quasiexperimental Design
García, Olga Arranz; Secades, Vidal Alonso – International Association for Development of the Information Society, 2013
In the information age, one of the most influential institutions is education. The recent emergence of MOOCS [Massively Open Online Courses] is a sample of the new expectations that are offered to university students. Basing decisions on data and evidence seems obvious, and indeed, research indicates that data-driven decision-making improves…
Descriptors: Educational Technology, Technology Uses in Education, Electronic Learning, Blended Learning