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Epler-Ruths, Colleen M.; McDonald, Scott; Pallant, Amy; Lee, Hee-Sun – Cognitive Research: Principles and Implications, 2020
This article represents the findings from the qualitative portion of a mixed methods study that investigated the impact of middle school students' spatial skills on their plate tectonics learning while using a computer visualization. Higher spatial skills have been linked to higher STEM achievement, while use of computer visualizations has mixed…
Descriptors: Spatial Ability, Middle School Students, Plate Tectonics, STEM Education
Saito, Daisuke; Kaieda, Shota; Washizaki, Hironori; Fukazawa, Yoshiaki – Journal of Information Technology Education: Innovations in Practice, 2020
Aim/Purpose: Although many computer science measures have been proposed, visualizing individual students' capabilities is difficult, as those measures often rely on specific tools and methods or are not graded. To solve these problems, we propose a rubric for measuring and visualizing the effects of learning computer programming for elementary…
Descriptors: Scoring Rubrics, Visualization, Learning Analytics, Computer Science Education
Herrada, Rosario I.; Baños, Raúl; Alcayde, Alfredo – Education Sciences, 2020
In recent years, several innovations have emerged in the field of education, including Blended-Learning, Massive Open Online Courses, Flipped Classroom and Gamification. In particular, several investigations have highlighted the effectiveness of student response systems, or clickers, in different subjects and disciplines. Although some literature…
Descriptors: Student Reaction, Audience Response Systems, Instructional Effectiveness, Learning Analytics

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