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Lezhnina, Olga; Kismihók, Gábor – International Journal of Research & Method in Education, 2022
In our age of big data and growing computational power, versatility in data analysis is important. This study presents a flexible way to combine statistics and machine learning for data analysis of a large-scale educational survey. The authors used statistical and machine learning methods to explore German students' attitudes towards information…
Descriptors: Student Attitudes, Scientific Literacy, Numeracy, Foreign Countries
Amasha, Mohamed A.; Areed, Marwa F.; Khairy, Dalia; Atawy, Safaa M.; Alkhalaf, Salem; Abougalala, Rania A. – Education and Information Technologies, 2021
In primary education, a variety of teaching methods, such as enhanced and discovery learning, have had a significant influence on student achievement, particularly in mathematics. Several studies have discussed the positive effects of the appropriate use of technology in the classroom on student achievement. The main purpose of the current study…
Descriptors: Foreign Countries, Elementary School Students, Elementary School Mathematics, Mathematics Instruction
Iyamuremye, Aloys; Nsabayezu, Ezechiel – Online Submission, 2022
The current study investigates teachers' conception and reflection of computer programming from scratch in terms of technological and pedagogical standpoint. Mixed research approaches typically achievement tests and interviews were used to collect quantitative and qualitative data respectively. A total of twenty-one Mathematics and Science…
Descriptors: Mathematics Teachers, Science Teachers, Teacher Attitudes, Achievement Tests