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Karyl Mae Codiñera Amar; Jhelai Grace Aton; Ma. Khasila Bulan; Chona Mae Crisostomo; Alyssa Danica Estrera; Jecylle Jean Linao; Julia Mitz Mariñas; Zyann Quilicot; Elieza Jane Senillo; Mabet Vergara; Angelito Cabanilla Jr. – International Journal of Education in Mathematics, Science and Technology, 2025
A multiple regression analysis was conducted to investigate what variables may predict the student's self-perceived proficiency in mathematics. Hence, this quantitative cross-sectional survey design aimed to explore the factors predicting the student's self-perceived proficiency in mathematics using gamified instruction. Two hundred twenty-five…
Descriptors: Test Construction, Test Validity, Measures (Individuals), Self Concept
Kizito, Rita; Munyakazi, Justin; Basuayi, Clement – International Journal of Mathematical Education in Science and Technology, 2016
In spite of sustained efforts tertiary institutions implement to try and improve student academic performance, the number of students succeeding in first-year mathematics courses remains disturbingly low. For most students, the gap between their mathematical capability and the competencies they are expected and need to develop to function…
Descriptors: Foreign Countries, College Mathematics, Mathematics Instruction, Student Surveys
Lee, Chun-Yi; Chen, Ming-Jang – Journal of Educational Computing Research, 2014
Previous studies on the effects of virtual and physical manipulatives have failed to consider the impact of prior knowledge on the efficacy of manipulatives. This study focuses on the learning of plane geometry in junior high schools, including the sum of interior angles in polygons, the sum of exterior angles in polygons, and the properties of…
Descriptors: Manipulative Materials, Teaching Methods, Educational Technology, Junior High Schools
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