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Karimov, Ayaz; Saarela, Mirka; Kärkkäinen, Tommi – International Educational Data Mining Society, 2023
Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played…
Descriptors: Student Attitudes, Feedback (Response), Educational Games, Information Retrieval
Kumps, Audrey; Temperman, Gaetan; De Lievre, Bruno – Turkish Online Journal of Educational Technology - TOJET, 2022
In French-speaking Belgium, one of the new tasks of the teacher will be to develop the informational skills of learners. Therefore, the main purpose of this research is to identify the variables that affect the performance of online information retrieval so that teachers can plan appropriate teaching activities. The statistical Classification and…
Descriptors: Foreign Countries, Online Searching, Search Strategies, Information Retrieval
Juškaite, Loreta – International Baltic Symposium on Science and Technology Education, 2019
The new research results on the online- testing method in the Latvian education system for a learning process assessment are presented. Data mining is a very important field in education because it helps to analyse the data gathered in various researches and to implement the changes in the education system according to the learning methods of…
Descriptors: Foreign Countries, Information Retrieval, Data Analysis, Data Use
Hanson, Stephen José; Saunders, Stephanie; Aponte, Arcelio; Copeland, Robert; Nettles, Michael – ETS Research Report Series, 2020
The academic achievement gap is a persistent and pernicious educational challenge confounded with race and socioeconomic status. The achievement gap persists despite over three decades of interventions and federal, state, and local policies and initiatives meant to close it. We examine the achievement gap in one of the most diverse states in the…
Descriptors: Achievement Gap, Racial Differences, Ethnicity, Socioeconomic Status
Kerr, Deirdre – Journal of Educational Data Mining, 2015
This study uses information about in-game strategy use, identified through cluster analysis of actions in an educational video game, to make data-driven modifications to the game in order to reduce construct-irrelevant behavior. The examination of student strategies identified through cluster analysis indicated that (a) it was common for students…
Descriptors: Information Retrieval, Data Analysis, Video Games, Educational Games
Coggins, Porter E. – Computers in the Schools, 2013
The purpose of this article is to present several implications and recommendations regarding what elementary school children, aged 9-12 years, know about computer passwords and what they know about why computer passwords are important. Student knowledge can then be used to make relevant curriculum decisions based in conjunction with applicable…
Descriptors: Computer Security, Elementary School Students, Student Attitudes, Computer Attitudes
Henry, Laurie A. – Reading Teacher, 2006
It is increasingly clear that the Internet will be the defining technology for reading, writing, and communication in the 21st century. But without the ability to locate information in an efficient and effective manner, students' access to information on the Internet is limited. This article introduces SEARCH, a strategy classroom teachers can use…
Descriptors: Reading, Internet, Writing (Composition), Access to Information
Carmo, Mafalda, Ed. – Online Submission, 2017
This book contains a compilation of papers presented at the International Conference on Education and New Developments (END 2017), organized by the World Institute for Advanced Research and Science (W.I.A.R.S.). Education, in our contemporary world, is a right since we are born. Every experience has a formative effect on the constitution of the…
Descriptors: Educational Quality, Models, Vocational Education, Outcomes of Education
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
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…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection