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Obeng, Asare Yaw – Cogent Education, 2023
The learning processes have been significantly impacted by technology. Numerous learners have adopted technology-based learning systems as the preferred form of learning. It is then necessary to identify the learning styles of learners to deliver appropriate resources, engage them, increase their motivation, and enhance their satisfaction and…
Descriptors: Predictor Variables, Cognitive Style, Electronic Learning, College Freshmen
Taylor V. Williams – ProQuest LLC, 2022
Clustering, a prevalent class of machine learning (ML) algorithms used in data mining and pattern-finding--has increasingly helped engineering education researchers and educators see and understand assessment patterns at scale. However, a challenge remains to make ML-enabled educational inferences that are useful and reliable for research or…
Descriptors: Multivariate Analysis, Data Analysis, Student Evaluation, Large Group Instruction
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Vasfiye Geçkin; Ebru Kiziltas; Çagatay Çinar – Journal of Educational Technology and Online Learning, 2023
The quality of writing in a second language (L2) is one of the indicators of the level of proficiency for many college students to be eligible for departmental studies. Although certain software programs, such as Intelligent Essay Assessor or IntelliMetric, have been introduced to evaluate second-language writing quality, an overall assessment of…
Descriptors: Writing Evaluation, Second Language Learning, Second Language Instruction, Language Proficiency
Wiggins, Afi Y.; Stelling, Laura – Online Submission, 2015
This supplemental report provides technical documentation for the full report (published separately) concerning the 63% of AISD's Class of 2013 graduates who enrolled in a postsecondary institution the year after high school, and 74% of Class of 2012 graduates persisted in college for a second year. [For the full report, see ED626498.]
Descriptors: Postsecondary Education, College Attendance, Enrollment Trends, High School Graduates