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Kuhnle, Claudia; Sinclair, Marta – Learning and Individual Differences, 2011
The presented study evaluates whether the decision mode for engaging in a task is relevant not only for the quality of the experience during an activity, as reflected in the occurrence of motivational interference and the possibility to enter flow, but also for the experience of regret. Intuitive in contrast to deliberative decision mode is…
Descriptors: Decision Making, Learning Processes, Intuition, Predictor Variables
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Giofre, David; Mammarella, Irene C.; Ronconi, Lucia; Cornoldi, Cesare – Learning and Individual Differences, 2013
A study was conducted on the involvement of visuospatial working memory (VSWM) in intuitive geometry and in school performance in geometry at secondary school. A total of 166 pupils were administered: (1) six VSWM tasks, comprising simple storage and complex span tasks; and (2) the intuitive geometry task devised by Dehaene, Izard, Pica, and…
Descriptors: Academic Achievement, Geometry, Path Analysis, Short Term Memory
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Richardson, John T. E. – Learning and Individual Differences, 2011
Learning styles have been construed in different ways but traditionally have been regarded as relatively stable. In contrast, the "student approaches to learning" perspective tends to assume that approaches to studying are contextually driven. This article argues for a rapprochement between these two traditions. First, the evidence that students'…
Descriptors: Evidence, Cognitive Style, Student Attitudes, Study Habits
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Osman, Magda – Learning and Individual Differences, 2012
Monitoring refers to online awareness and self-evaluation of one's goal-directed actions, while Control refers to the generation and selection of goal-directed actions (Osman, 2010a). The present study examines the extent to which external estimations of performance influence monitoring and control behaviors. To achieve this, a complex dynamic…
Descriptors: Cues, Memory, Goal Orientation, Self Evaluation (Individuals)
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Cheng, Hong-Yu; Guan, Shu-Yi – Learning and Individual Differences, 2012
The distinct learning behaviors observed in the classroom between American and Chinese students have been discussed extensively in literature. The authors speculated that learning approaches (structure-oriented approach vs. depth-oriented approach) might play a role in explaining different behavioral traits presented by American and Chinese…
Descriptors: Student Attitudes, Cognitive Style, Role, Learning Processes
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Koopman, Maaike; Den Brok, Perry; Beijaard, Douwe; Teune, Peter – Learning and Individual Differences, 2011
The purpose of this study was to investigate relations between goal orientations, information processing strategies and development of conceptual knowledge of pre-vocational secondary education students (n = 719; 14 schools). Students' preferences for certain types of goals and information processing strategies were examined using questionnaires.…
Descriptors: Learning Processes, Secondary School Students, Prevocational Education, Goal Orientation
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Buric, Irena; Soric, Izabela – Learning and Individual Differences, 2012
The aim of this study was to examine the relationships amongst students' test emotions of hope and hopelessness, their antecedents of cognitive control and value appraisals and volitional strategies during learning, as well as their effects on academic achievement in the domain of mathematics, using the control-value theoretical framework. Sample…
Descriptors: Academic Achievement, Student Motivation, Metacognition, Correlation
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Piccardi, L.; Risetti, M.; Nori, R.; Tanzilli, A.; Bernardi, L.; Guariglia, C. – Learning and Individual Differences, 2011
In the present study, we investigated the ability of 106 (55 males, 51 females) college students to recall an 8-step path from different viewpoints (0 degrees; 90 degrees; 180 degrees and 270 degrees) after primary and secondary learning without a time limit. For each participant, we computed the time and number of repetitions necessary to learn…
Descriptors: Spatial Ability, Gender Differences, College Students, Recall (Psychology)
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McCune, Velda; Entwistle, Noel – Learning and Individual Differences, 2011
This article discusses the need, in 21st century university education, to encourage a "will to learn" in students, and explores its meaning using a variety of empirical evidence. It draws on previous studies related to academic understanding to introduce the idea of a "disposition to understand for oneself" and to consider how teaching-learning…
Descriptors: Academic Achievement, Higher Education, Teaching Methods, Learning Processes
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Sadler-Smith, Eugene – Learning and Individual Differences, 2011
The study explored various facets of the intuitive style and its relevance to learning and education from a dual-processing perspective, namely how it relates to other style constructs (analytical; visual and verbal; local and global), gender, and superstitious reasoning and how these are likely to impact upon learning in educational and…
Descriptors: Cognitive Style, Nonverbal Tests, Intuition, Factor Analysis
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Cho, Seokhee – Learning and Individual Differences, 2010
The role of IQ in individual differences in real-life problem solving and strategies use was explored. Repeated trials of learning and recall of information from a map were analyzed with high IQ and average IQ Korean students. IQ correlated with the selection and use of strategies in recall. However, the performance and strategic behaviors of…
Descriptors: Intelligence Quotient, Metacognition, Maps, Individual Differences
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Panadero, Ernesto; Tapia, Jesus Alonso; Huertas, Juan Antonio – Learning and Individual Differences, 2012
This study compares the effects of two different self-assessment tools--rubrics and scripts--on self-regulation, learning and self-efficacy in interaction with two other independent variables (type of instructions and feedback). A total of 120 secondary school students analyzed landscapes--a usual task when studying Geography--in one of twelve…
Descriptors: Academic Achievement, Self Efficacy, Secondary School Students, Feedback (Response)
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Xu, Jianzhong – Learning and Individual Differences, 2010
The purpose of this study is to test empirical models of variables posited to predict homework time management at the secondary school level. Student- and class-level predictors of homework time management were analyzed in a survey of 1895 students from 111 classes. Most of the variance in homework time management occurred at the student level,…
Descriptors: Homework, Time Management, Parent Background, Educational Attainment
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Pretz, Jean E.; Totz, Kathryn Sentman; Kaufman, Scott Barry – Learning and Individual Differences, 2010
In an experiment with 109 undergraduates, we examined the effect of mood, cognitive style, and cognitive ability on implicit learning in the Artificial Grammar (AG) and Serial Reaction Time (SRT) tasks. Negative mood facilitated AG learning, but had no significant effect on SRT learning. Rational cognitive style predicted greater learning on both…
Descriptors: Cognitive Style, Reaction Time, Psychological Patterns, Cognitive Ability
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Hanscombe, Ken B.; Haworth, Claire M. A.; Davis, Oliver S. P.; Jaffee, Sara R.; Plomin, Robert – Learning and Individual Differences, 2010
Chaos in the home is a key environment in cognitive and behavioural development. However, we show that children's experience of home chaos is partly genetically mediated. We assessed children's perceptions of household chaos at ages 9 and 12 in 2337 pairs of twins. Using child-specific reports allowed us to use structural equation modelling to…
Descriptors: Twins, Environmental Influences, Cognitive Development, Behavior Development
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