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Korkofingas, Con; Macri, Joseph – Journal of University Teaching and Learning Practice, 2013
This paper examines, using regression modelling, whether a statistically significant relationship exists between the time spent by a student using the course website and the student's assessment performance for a large third year university business forecasting course. We utilise the online tracking system in Blackboard, a web-based software…
Descriptors: Foreign Countries, Higher Education, College Students, Statistical Significance
Student Workload and Assessment: Strategies to Manage Expectations and Inform Curriculum Development
Scully, Glennda; Kerr, Rosemary – Accounting Education, 2014
This study reports the results of a survey of student study times and perceptions of workload in undergraduate and graduate accounting courses at a large Australian public university. The study was in response to student feedback expressing concerns about workload in courses. The presage factors of student workload and assessment in Biggs' 3P…
Descriptors: Curriculum Development, College Students, Student Surveys, Study Habits
Hlavac, Jim; Peterson, Jim; Piscioneri, Matthew – Education & Training, 2011
Purpose: The primary purpose of this paper is to compare time availability and its allocation amongst Arts students. In addition it aims to match time availability and use with informants' resource preferences and the variables of language background and residential status. Design/methodology/approach: A sample of 109 students completed…
Descriptors: Evidence, Foreign Countries, Time Factors (Learning), Time on Task

Leach, David J.; Tunnecliffe, Michael R. – Australian Journal of Education, 1984
The influence of two time variables (allocated time and pupil time on task) was compared with the influence of two context variables (aptitude and socioeconomic status), on primary level mathematics achievement. Results showed that the time variables accounted for significantly more variance in achievement, with pupil time on task having the…
Descriptors: Academic Achievement, Foreign Countries, Mathematics, Predictor Variables

Keeves, John P.; Larkin, Anthony I. – International Journal of Educational Research, 1986
Regression analyses examined the relationships among: time spent (periods and hours per week) studying science; time allocated for science homework; time used by teacher; and time not spent in learning. The performance cycle model of achievement, aspiration, and attitude was supported at the between classrooms level. (GDC)
Descriptors: Academic Achievement, Attention, Classroom Research, Elementary Secondary Education