In this study, we propose a MOOC Analytic Statistical Visual model (MOOC-ASV) to explore students' engagement in MOOC courses and predict their performance on the basis of their behaviors logged as big data in MOOC platforms. The model has multifunctions, which performs on visually analyzing learners' data by state-of-the-art techniques. The model…

This article describes a collaborative project across three institutions to develop, implement, and evaluate a series of tutorials and case studies that highlight fundamental tools of data science--such as visualization, data manipulation, and database usage--that instructors at a wide-range of institutions can incorporate into existing statistics…

Classroom Action Research (PTK) was made after researchers observed the implementation of learning conducted mostly school teachers Extraordinary show symptoms not as expected, because the teacher still dominates teaching and learning activities centered on teachers, by looking at the lecture method is a method that The main. This raises a very…

Refutation-style texts have been considered a viable strategy for changing psychological misconceptions. The current study aims to integrate refutation-style texts into a classroom-based method of learning. Psychology students were administered a true/false misconception survey and then viewed several refutation-style poster presentations…

Online collaborative writing tools provide an efficient way to complete a writing task. However, existing tools only focus on technological affordances and ignore the importance of social affordances in a collaborative learning environment. This article describes a learning analytic system that analyzes writing behaviors, and creates…

"Shake, Rattle, & Roll" is a new program developed by The Actuarial Foundation with Scholastic, provides dynamic real-world math content designed to build student skills while showing students the relevance of math to understanding their world and planning for their future. Math skills are increasingly important for students. According to the U.S.…

The ability to collect, organize graphically, understand, interpret, and use data to make decisions is becoming more central to the role of early childhood practitioners. One consideration in practitioner use of data is the acceptability of the method of data display. The purpose of this study was to explore Head Start teachers' preference for and…

Understanding the concept of interaction is vital to understanding the relationships of dimensions of phenomena under study. Use of multivariate analysis of variance is described as a useful approach for discovering the extent to which events may be complexly interaffecting. (Author/AV)

This manual is a resource of ideas and suggestions for comprehensive statewide planning of vocational education. It is directed toward both experienced and inexperienced vocational education planners. The data analysis and display techniques presented are useful for producing information for developing state plans and for communicating data-based…

Reintroduces and updates the geographic profile as a visualization technique for representing and analyzing the structure of geographical information. A computer software-generated profile focuses on specific information (persons per square mile in selected cities) and represents that information spatially on a graph. (MJP)

This article examines issues arising in the design and conduct of a research project spanning seven countries and five national languages. With a shared focus on leadership for learning among the participating twenty four schools and eight university sites, the challenge was to find a common methodology that would allow comparison across cultures…

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…