Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 6 |
Descriptor
| Cluster Grouping | 6 |
| Data Analysis | 6 |
| Foreign Countries | 5 |
| Predictor Variables | 3 |
| Student Records | 3 |
| Academic Achievement | 2 |
| Feedback (Response) | 2 |
| Models | 2 |
| Access to Information | 1 |
| Affective Measures | 1 |
| Algorithms | 1 |
| More ▼ | |
Source
| IEEE Transactions on Learning… | 1 |
| International Education… | 1 |
| International Educational… | 1 |
| Journal of Education for… | 1 |
| Journal of Marketing for… | 1 |
| School Effectiveness and… | 1 |
Author
Publication Type
| Reports - Research | 6 |
| Journal Articles | 5 |
| Speeches/Meeting Papers | 1 |
Education Level
| Elementary Education | 2 |
| Higher Education | 2 |
| Secondary Education | 2 |
| Elementary Secondary Education | 1 |
| Grade 5 | 1 |
| Grade 6 | 1 |
| Grade 7 | 1 |
| Intermediate Grades | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
Audience
Location
| Azerbaijan | 1 |
| Belgium | 1 |
| Ecuador | 1 |
| Iran | 1 |
| Spain | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
Davari, Mehraneh; Noursalehi, Payam; Keramati, Abbas – Journal of Marketing for Higher Education, 2019
In this research, a combination of both quantitative and qualitative approaches is used to identify different market segments in the education industry. To solve the research problem, an exploratory approach to data mining is used and, using a series of interviews with experts, the factors affecting segmentation are identified. Then, using the…
Descriptors: Data Analysis, Competition, Expertise, Research and Development
Maldonado, Edgar; Seehusen, Vicky – Journal of Education for Business, 2018
The authors used a clustering technique to analyze business course choices made by students who completed an individualized degree in a large, urban, public university. They looked for patterns to answer the research question, "What can we learn from students' choices to inform the curricular redesign process in business programs?" The…
Descriptors: Business Administration Education, Curriculum Development, Cluster Grouping, Course Selection (Students)
Vanwynsberghe, Griet; Vanlaar, Gudrun; Van Damme, Jan; De Fraine, Bieke – School Effectiveness and School Improvement, 2017
Although the importance of primary schools in the long term is of interest in educational effectiveness research, few studies have examined the long-term effects of schools over the past decades. In the present study, long-term effects of primary schools on the educational positions of students 2 and 4 years after starting secondary education are…
Descriptors: Secondary Education, School Effectiveness, Elementary Secondary Education, Followup Studies
Riofrio-Luzcando, Diego; Ramirez, Jaime; Berrocal-Lobo, Marta – IEEE Transactions on Learning Technologies, 2017
Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…
Descriptors: Student Behavior, Predictive Validity, Predictor Variables, Predictive Measurement
Buri, Olga Elizabeth Minchala; Stefos, Efstathios – International Education Studies, 2017
The objective of this study is to examine the social profile of students who are enrolled in Basic General Education in Ecuador. Both a descriptive and multidimensional statistical analysis was carried out based on the data provided by the National Survey of Employment, Unemployment and Underemployment in 2015. The descriptive analysis shows the…
Descriptors: Foreign Countries, Profiles, Data Analysis, General Education

Peer reviewed
Direct link
