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Direct linkPrat, Alain; Code, Warren J. – International Journal of Mathematical Education in Science and Technology, 2021
The online homework system WeBWorK has been successfully used at several hundred colleges and universities. Despite its popularity, the WeBWorK system does not provide detailed metrics of student performance to instructors. In this article, we illustrate how an analysis of the log files of the WeBWorK system can provide information such as the…
Descriptors: Data Analysis, Homework, Student Behavior, Educational Technology
Radley, Keith C.; Dart, Evan H.; Schrieber, Stefanie R.; Davis, John L. – Behavioral Disorders, 2021
Classroom observations are frequently conducted with the purpose of comparing the behavior of a target student to that of other peers within the same classroom. A variety of procedures may be utilized by researchers and practitioners to collect such data; however, little is known of the accuracy of estimates of behavior produced by such procedures…
Descriptors: Comparative Analysis, Student Behavior, Peer Groups, Accuracy
Download full textAksu, Nursah; Aksu, Gökhan; Saracaloglu, Seda – International Electronic Journal of Elementary Education, 2022
The purpose of this study is to predict the mathematical literacy levels of the students participating in the research through the data obtained from PISA 2015 exam organized by OECD using data mining and to determine the variables that affect mathematics literacy. For this purpose, students' mathematics literacy levels and the variables that…
Descriptors: Predictor Variables, International Assessment, Achievement Tests, Foreign Countries
He, Qiwei; Borgonovi, Francesca; Suárez-Álvarez, Javier – Journal of Computer Assisted Learning, 2023
Background: Data-driven investigations of how students transit pages in digital reading tasks and how much time they spend on each transition allow mapping sequences of navigation behaviours into students' navigation reading strategies. Objectives: The purpose of this study is threefold: (1) to identify students' navigation patterns in…
Descriptors: Data Analysis, Reading Processes, Task Analysis, Time on Task
Trakunphutthirak, Ruangsak; Lee, Vincent C. S. – Journal of Educational Computing Research, 2022
Educators in higher education institutes often use statistical results obtained from their online Learning Management System (LMS) dataset, which has limitations, to evaluate student academic performance. This study differs from the current body of literature by including an additional dataset that advances the knowledge about factors affecting…
Descriptors: Information Retrieval, Pattern Recognition, Data Analysis, Information Technology
Poole, Frederick J.; Clarke-Midura, Jody – Language Learning & Technology, 2023
Research involving digital games and language learning is rapidly growing. One advantage of using digital games to support language learning is the ability to collect data on students learning in real time. In this study, we use educational data mining methods to explore the relationship between in-game data and elementary students' Chinese…
Descriptors: Computer Games, Second Language Learning, Second Language Instruction, Data Analysis
dos Santos, Roberta Alvarenga; Paulista, Cássio Rangel; da Hora, Henrique Rego Monteiro – Technology, Knowledge and Learning, 2023
The demand for in-depth studies on educational data presupposes the application of technologies that allow data analysis of vast quantities, and subsequently, drawing relevant information and knowledge. The research objective herein is to employ data mining techniques on PISA databases to identify potential patterns that may explain the…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
