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Yasmin – Asian Journal of Distance Education, 2024
The paper explores and assesses, through quantitative research and data analytics models, as to how socio-demographic profile, work, and family responsibilities may be associated with motivational level and educational attainment or course completion rate of learners enrolled in the undergraduate courses of Indira Gandhi National Open University…
Descriptors: Student Characteristics, Profiles, Student Motivation, Academic Achievement
Tarhini, Ali; Elyas, Tariq; Akour, Mohammad Ali; Al-Salti, Zahran – Higher Education Studies, 2016
The main aim of this paper is to develop an amalgamated conceptual model of technology acceptance that explains how individual, social, cultural and organizational factors affect the students' acceptance and usage behaviour of the Web-based learning systems. More specifically, the proposed model extends the Technology Acceptance Model (TAM) to…
Descriptors: Electronic Learning, Computer Attitudes, Adoption (Ideas), Web Based Instruction
Street, James A.; Dabrowska, Ewa – Applied Psycholinguistics, 2014
This article provides experimental evidence for the role of lexically specific representations in the processing of passive sentences and considerable education-related differences in comprehension of the passive construction. The experiment measured response time and decision accuracy of participants with high and low academic attainment using an…
Descriptors: Language Processing, Form Classes (Languages), Adults, Psycholinguistics
Alarcon, Gene M.; Edwards, Jean M. – Journal of Educational Psychology, 2013
The current study explored individual differences in ability and motivation factors of retention in first-year college students. We used discrete-time survival mixture analysis to model university retention. Parents' education, gender, American College Test (ACT) scores, conscientiousness, and trait affectivity were explored as predictors of…
Descriptors: Academic Achievement, Student Motivation, Academic Persistence, Individual Differences
Rast, Philippe; Zimprich, Daniel – Learning and Individual Differences, 2010
This study aimed at modeling individual and average non-linear trajectories of positional learning using a structured latent growth curve approach. The model is based on an exponential function which encompasses three parameters: Initial performance, learning rate, and asymptotic performance. These learning parameters were compared in a positional…
Descriptors: Predictor Variables, Mathematics, Individual Differences, Models
Bockenholt, Ulf; Van Der Heijden, Peter G. M. – Psychometrika, 2007
Randomized response (RR) is a well-known method for measuring sensitive behavior. Yet this method is not often applied because: (i) of its lower efficiency and the resulting need for larger sample sizes which make applications of RR costly; (ii) despite its privacy-protection mechanism the RR design may not be followed by every respondent; and…
Descriptors: Social Influences, Social Control, Item Response Theory, Research Problems
Julie Cason McDonald – ProQuest LLC, 2003
Institutions of higher education face exceptional challenges in today's environment. College costs are increasing, funding is decreasing and/or limited, public confidence is diminishing, the work-place is changing, and a shrinking pool of traditional-age college students exists. This creates an environment where colleges and universities find…
Descriptors: College Freshmen, Barriers, Student Participation, Student Attitudes

Button, Suzanne; Pianta, Robert C.; Marvin, Robert S. – Social Development, 2001
Examined relations between representational models of mother-child relationships of mothers and children ages 14 to 52 months (some diagnosed with cerebral palsy or epilepsy) and maternal characteristics, child disability status, and maternal behavior in a problem-solving task. Found that representations are related to caregiving behavior apart…
Descriptors: Attachment Behavior, Disabilities, Educational Attainment, Individual Differences

Runyan, William McKinley – Journal of Personality and Social Psychology, 1980
Stage-state analysis of the life course is presented as useful in identifying types of life courses and their relative frequency, in estimating the likelihood of moving from a given state through a sequence of future states, and in analyzing routes and processes connecting initial states with potential outcomes. (Author/DB)
Descriptors: Critical Incidents Method, Developmental Psychology, Developmental Stages, Educational Attainment