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N. L. Higgins; Joseph A. Rathner; Sarah Frankland – Research in Science & Technological Education, 2023
Background: Self-regulated learning (SRL) encompasses the strategies and behaviours that allow students to transform cognitive abilities into task-specific academic skills. Research in higher education has found a relationship between SRL and academic outcomes. However, whether SRL improves as students gain educational experience in undergraduate…
Descriptors: Foreign Countries, Undergraduate Students, Agriculture, Independent Study
Harding, Susan-Marie; English, Narelle; Nibali, Nives; Griffin, Patrick; Graham, Lorraine; Alom, Bm; Zhang, Zhonghua – Australian Journal of Education, 2019
Students who can regulate their own learning are proposed to gain the most out of education, yet research into the impact of self-regulated learning skills on performance shows mixed results. This study supports the link between self-regulated learning and performance, while providing evidence of grade- or age-related differences. Australian…
Descriptors: Learning Strategies, Self Control, Predictor Variables, Mathematics Achievement
Pardo, Abelardo; Han, Feifei; Ellis, Robert A. – IEEE Transactions on Learning Technologies, 2017
Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…
Descriptors: Student Centered Learning, Learning Theories, College Students, Academic Achievement
Colthorpe, Kay; Zimbardi, Kirsten; Ainscough, Louise; Anderson, Stephen – Journal of Learning Analytics, 2015
It is well established that a student's capacity to regulate his or her own learning is a key determinant of academic success, suggesting that interventions targeting improvements in self-regulation will have a positive impact on academic performance. However, to evaluate the success of such interventions, the self-regulatory characteristics of…
Descriptors: Data Analysis, Data Collection, Educational Research, Self Control
Askell-Williams, Helen; Lawson, Michael J. – Health Education, 2015
Purpose: The purpose of this paper is to explore relationships between students' self-reported mental health and their perspectives about life at school in metropolitan Adelaide, South Australia. Design/methodology/approach: The Strengths and Difficulties Questionnaire (SDQ) and a purpose designed Living and Learning at School Questionnaire (LLSQ)…
Descriptors: Mental Health, Student Attitudes, Child Health, Self Disclosure (Individuals)
Grainger, Peter – System: An International Journal of Educational Technology and Applied Linguistics, 2012
Language learning strategies have been researched for more than 30 years yet there remain many unanswered questions. Some of these questions relate to the target language being studied, specifically Japanese, and the influence of learner variables on the choice of language learning strategies, specifically cultural background. This study seeks to…
Descriptors: Foreign Countries, Japanese, Multilingualism, Cultural Background
Bilgin, Ayse A. B. – International Journal of Educational Management, 2011
Purpose: While the natural expectation is that students seek greater depth of learning as they develop intellectually during their studies, some research calls this into question and even suggests that student learning can become shallower from year to year. The present study aims to investigate the relative depth of students' learning at…
Descriptors: Evidence, Student Attitudes, Statistics, Teaching Methods
Hood, Michelle – Australasian Journal of Educational Technology, 2013
This study examined predictors of students' intentions to access face-to-face (f2f) or online options for lectures and tutorials in a buffet-style blended learning 2nd-year psychology statistics course ("N" = 113; 84% female). Students were aged 18 to 51 years ("M" = 23.16; "SD"= 6.80). Practical and technological…
Descriptors: Blended Learning, Intention, Online Courses, Computer Software
Kaur, Berinderjeet; Areepattamannil, Shaljan – Mathematics Education Research Group of Australasia, 2012
This study, drawing on data from the Programme for International Student Assessment (PISA) 2009, explored the influences of metacognitive and self-regulated learning strategies for reading on mathematical literacy of adolescents in Australia and Singapore. Ordinary least squares (OLS) regression analyses revealed the positive influences of…
Descriptors: Achievement Tests, International Assessment, Foreign Countries, Secondary School Students
Bath, Debra M.; Smith, Calvin D. – Studies in Continuing Education, 2009
The characteristics of lifelong learners have been extensively discussed in the literature and generally encapsulate two broad dimensions; skills and abilities related to learning, and beliefs about learning and knowledge. This study examined the factors that may predict such characteristics and thus an individual's propensity to engage in…
Descriptors: Self Efficacy, Lifelong Learning, Epistemology, Individual Characteristics

Schofield, Neville J.; Kirby, John R. – Cognition and Instruction, 1994
Examined task factors, cognitive processes, and individual differences as determinants of performance in 188 adults locating a position on a topographical map. Both spatial visualization ability and a visual learning style were found to be effective predictors of performance. A form of verbal strategy training produced significantly improved…
Descriptors: Adults, Cognitive Processes, Cognitive Style, Individual Differences
McKenzie, Kirsten; Gow, Kathryn – Learning & Individual Differences, 2004
One of the most noticeable changes to the university student profile over the last decade is the increasing number of mature-age students. This study examined the relationship between previous academic performance, psychological characteristics of the student, learning strategies, and the first year academic performance of school leavers and…
Descriptors: Academic Achievement, Structural Equation Models, College Freshmen, Learning Strategies

Watkins, David – Educational and Psychological Measurement, 1986
Learning processes, as measured by the Approaches to Studying Inventory, contributed to the prediction of freshman grades of 181 Australians. Other measures, such as college entrance examinations, locus of control, and student background characteristics, had less predictive ability. (GDC)
Descriptors: Academic Achievement, Cognitive Style, Cognitive Tests, College Entrance Examinations