Education Data Mining on PISA 2015 Best Ranked Countries: What Makes the Students go Well

• Published in: Technology, knowledge and learning Vol. 28; no. 1; pp. 47 - 78
• Main Authors: dos Santos, Roberta Alvarenga, Paulista, Cássio Rangel, da Hora, Henrique Rego Monteiro
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01-03-2023; Springer; Springer Nature B.V
• Subjects: Academic Aspiration; Achievement Tests; Anxiety; Classification; Comparative Education; Cooperative Learning; Creativity and Arts Education; Cross Cultural Studies; Data acquisition; Data Analysis; Data mining; Decision Making; Decision trees; Education; Educational Technology; Educational tests & measurements; Employment; Ethics; Foreign Countries; High Achievement; Homework; Information Technology; Instructional Program Divisions; International Assessment; International education; Learning and Instruction; Learning Motivation; Peer Relationship; Physical Activities; Ratings & rankings; Science Education; Secondary School Students; Social factors; Teacher Student Relationship; Teaching Methods; Teamwork; Time on Task; PISA; Education; Assessment; Educational indicators
• ISSN: 2211-1662; 2211-1670
• DOI: 10.1007/s10758-021-09572-9

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 top-performing countries’ success. Accounting for the methodology, data acquisition, bank creation, and countries’ data extraction, we ran preprocessing and data cleaning and mining stages, respectively; in the last phase, we used the J48 method for classification purposes. From the decision trees, the study identified the relevant attributes which relate to student educational level aspiration; failure; motivation and anxiety; socioeconomic factors; scientific approaches; the use of information and communication technologies; interactions with friends; physical activity practice; paid work; home assignments; learning time for each discipline; cooperation and teamwork; the student’s study program; the teacher’s fairness; and the school year in which the student is enrolled. In this regard, results were considered satisfactory for allowing the analyses of these aforementioned relevant attributes associated with PISA best-ranked countries.