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Stenliden, Linnea; Nissen, Jörgen – Education and Information Technologies, 2022
In a world 'flooded' with data, students in school need adequate tools as Visual Analytics (VA), that easily process mass data, give support in drawing advanced conclusions and help to make informed predictions in relation to societal circumstances. Methods for how the students' insights may be reformulated and presented in 'appropriate' modes are…
Descriptors: Elementary School Students, Visual Aids, Data Analysis, Visualization
Kalpokaite, Neringa; Radivojevic, Ivana – International Journal of Research & Method in Education, 2020
In today's world of pervasive technology use, online education is rapidly growing. Online learning environments offer a multitude of benefits for both learners and teachers, as there are substantially more accessible and affordable. The present research focuses on teaching the use of qualitative data analysis software (CAQDAS) to researchers.…
Descriptors: Instructional Effectiveness, Data Analysis, Computer Software, Conventional Instruction
Julie F. Schappe – Sage Research Methods Cases, 2017
In this case, I discuss my progression from ethnography toward multimodal ethnography as a necessary methodology to study multiliterate and multimodal lives. I view daily life, social interactions, and meaning-making practices as inherently multimodal. By multimodal, I mean that individuals continually read, interpret, and create meanings that…
Descriptors: Research Methodology, Intermode Differences, Researchers, Reflection
Smith, Carmen; King, Barbara; Gonzalez, Diana – Journal of Interactive Learning Research, 2016
Elementary students' difficulties with angles in geometry are well documented, but we know little about how they conceptualize angles while solving problems and how their thinking changes over time. In this study, we examined 26 third and fourth grade students completing a body-based angle task supported by the Kinect for Windows. We used…
Descriptors: Intermode Differences, Learning Modalities, Educational Research, Data Collection
Fendler, Richard J.; Ruff, Craig; Shrikhande, Milind – American Journal of Distance Education, 2016
This study compared the characteristics of students who excel (those in the top quarter of their class) and students who merely survive (bottom quarter of class) when attending a course either in-class or online. Student characteristics such as personal attributes (learning styles and gender), individual competence (grade point average), and major…
Descriptors: Online Courses, Conventional Instruction, Ability Grouping, High Achievement
Shea, Peter; Bidjerano, Temi – Online Learning, 2016
Previous research indicates that online learning at the community college level results in higher rates of withdrawal, failure, and dropout compared to classroom-based education (Xu & Smith Jaggars, 2011; Smith-Jaggars & Xu, 2010). The primary goal of the current study was to examine national data (US Dept. of Ed. Beginning Postsecondary…
Descriptors: Community Colleges, Two Year College Students, National Surveys, Online Courses