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Park, Enoch; Martin, Florence; Lambert, Richard – Quarterly Review of Distance Education, 2019
The purpose of this study was to identify the potential factors that could predict college students' success in a large-size undergraduate hybrid learning course. Predictive values of students' demographic and academic background variables were examined to establish standardized models of contribution toward final grades. Next, patterns of student…
Descriptors: Predictor Variables, Academic Achievement, Undergraduate Students, Student Participation
Thompson, Meredith Myra; Braude, Eric John – Journal of Educational Computing Research, 2016
The assessment of learning in large online courses requires tools that are valid, reliable, easy to administer, and can be automatically scored. We have evaluated an online assessment and learning tool called Knowledge Assembly, or Knowla. Knowla measures a student's knowledge in a particular subject by having the student assemble a set of…
Descriptors: Computer Assisted Testing, Teaching Methods, Online Courses, Critical Thinking
McPherson, Douglas – Interactive Technology and Smart Education, 2009
Purpose: The purpose of this paper is to describe how and why Texas A&M University at Qatar (TAMUQ) has developed a system aiming to effectively place students in freshman and developmental English programs. The placement system includes: triangulating data from external test scores, with scores from a panel-marked hand-written essay (HWE),…
Descriptors: Student Placement, Educational Testing, English (Second Language), Second Language Instruction