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Bezerra, Luis Naito Mendes; Silva, Márcia Terra – International Journal of Distance Education Technologies, 2020
In the current context of distance learning, learning management systems (LMSs) make it possible to store large volumes of data on web browsing and completed assignments. To understand student behavior patterns in this type of environment, educators and managers must rethink conventional approaches to the analysis of these data and use appropriate…
Descriptors: Learning Analytics, Data Collection, Class Size, Online Courses
Casey, Kevin – Journal of Learning Analytics, 2017
Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…
Descriptors: Keyboarding (Data Entry), Educational Research, Data Collection, Data Analysis

Nault, Richard; Hallinan, Maureen – High School Journal, 1975
Article examined the provisions typical of pass/fail plans implemented in several high schools in this country to determine if these provisions are likely to enhance accomplishment of the objectives of the pass/fail grading innovation. (Author/RK)
Descriptors: Data Collection, Educational Innovation, Educational Objectives, Pass Fail Grading

Clawson, Barbara N.; Scruggs, M. Marguerite – Home Economics Research Journal, 1974
Findings of a study conducted at Iowa State University, Ames, indicated student subjects were not affected by the use of pass-fail grading, and that student teachers were less anxious and more positive about their relationship with their cooperating teachers under pass-fail than under A-F grading. (BP)
Descriptors: Academic Achievement, Data Collection, Educational Research, Evaluation Methods