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Morris, Emily; Bossé, Michael J.; Sevier, John – International Journal for Mathematics Teaching and Learning, 2022
Students enrolled in post-secondary developmental mathematics courses hold mathematical misunderstandings that begin before their college careers. Specifically, these students struggle with conceptual understanding of fractions, ratios, and proportions. The Common Core State Standards in Mathematics outline standards for K-12 mathematics…
Descriptors: College Students, Developmental Studies Programs, Remedial Mathematics, Misconceptions
Sezen Vekli, Gulsah – Asia-Pacific Forum on Science Learning and Teaching, 2013
The present study aims to identify the effectiveness of summer science camp experience on middle school students' content knowledge and interest towards biology. For this purpose, two instruments including reflective journal and pre-post questionnaire were developed by four researchers who are expert in science education. Besides, the instruction…
Descriptors: Middle School Students, Foreign Countries, Summer Science Programs, Science Interests
Gerber, Lindsey N. – ProQuest LLC, 2012
Teacher quality is instrumental in improving student performance. Unfortunately, discrepancies between teacher preparation programs and national and state K-12 student standards have contributed to the difficult task of producing quality teachers. The contemporary mathematics education paradigm used at most colleges and universities relies on…
Descriptors: Mathematics Instruction, Teacher Education, Preservice Teachers, Developmental Studies Programs
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

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