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Direct linkEric Paul Wilson – ProQuest LLC, 2022
The purpose of this quantitative correlational study was to determine if, and to what extent, community college first-year learners' (FYL) selection of the mode of instruction (MOI), online courses (OLC) or face-to-face courses (FTFC), is related to their persistence into a second year or their academic success within a southern California…
Descriptors: Community College Students, College Freshmen, Learning Modalities, Instruction
Download full textRyu, Wonsun; Schudde, Lauren; Pack-Cosme, Kim – Community College Research Center, Teachers College, Columbia University, 2023
Although dual enrollment programming and interest in how that programming shapes students' college outcomes have expanded considerably in the past 20 years, policymakers, educational administrators, and practitioners do not have adequate information about which dual enrollment structural options are most effective. Using statewide administrative…
Descriptors: Dual Enrollment, High School Students, Grade 9, Community Colleges
Peer reviewedBoyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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
