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Andrade, Alejandro; Delandshere, Ginette; Danish, Joshua A. – Journal of Learning Analytics, 2016
One of the challenges many learning scientists face is the laborious task of coding large amounts of video data and consistently identifying social actions, which is time consuming and difficult to accomplish in a systematic and consistent manner. It is easier to catalog observable behaviours (e.g., body motions or gaze) without explicitly…
Descriptors: Student Behavior, Data Analysis, Models, Video Technology
Ortiz, Jennifer; Bray, Melissa A.; Bilias-Lolis, Evelyn; Kehle, Thomas J. – International Journal of School & Educational Psychology, 2017
The Good Behavior Game (GBG) is a group contingency intervention that has effectively reduced disruptive behavior and improved classroom management in many replications, for various settings and populations. The student composition of American public schools is changing, leading to culturally and linguistically diverse classrooms with unique…
Descriptors: Elementary School Students, Hispanic American Students, Educational Games, Student Behavior
Ng, Kelvin H. R.; Hartman, Kevin; Liu, Kai; Khong, Andy W. H. – International Educational Data Mining Society, 2016
During the semester break, 36 second-grade students accessed a set of resources and completed a series of online math activities focused on the application of the model method for arithmetic in two contexts 1) addition/subtraction and 2) multiplication/division. The learning environment first modeled and then supported the use of a scripted series…
Descriptors: Word Problems (Mathematics), Mathematics Instruction, Arithmetic, Problem Solving
Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
Malak, Saiful; Deppeler, Joanne M.; Sharma, Umesh – International Journal on School Disaffection, 2014
This paper reports on a study of Bangladeshi teachers' perceptions of student behaviour. Semi-structured, one-on-one interviews were conducted with 22 teachers from six primary schools in one district in Bangladesh. Thematic analysis technique was used to analyse the data. The findings indicated that teachers conceptualized students' inappropriate…
Descriptors: Foreign Countries, Teacher Attitudes, Student Behavior, Semi Structured Interviews
Bienkowski, Marie; Feng, Mingyu; Means, Barbara – Office of Educational Technology, US Department of Education, 2012
As more of commerce, entertainment, communication, and learning are occurring over the Web, the amount of data online activities generate is skyrocketing. Commercial entities have led the way in developing techniques for harvesting insights from this mass of data for use in identifying likely consumers of their products, in refining their products…
Descriptors: Teaching Methods, Learning Processes, Data Analysis, Barriers