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Michiel Boncquet; Nele Flamant; Jeroen Lavrijsen; Maarten Vansteenkiste; Karine Verschueren; Bart Soenens – Journal of Educational Psychology, 2024
This study examined the unique and interactive role of students' quality of motivation, as defined in self-determination theory, and their mindsets about intelligence, as conceptualized in Dweck's framework, in predicting a variety of learning outcomes (engagement, learning strategies, persistence, procrastination, and test anxiety) and…
Descriptors: Middle School Students, Student Attitudes, Learning Motivation, Academic Achievement
Julien Bakchich; Nele Claes; Arnaud Carré; Annique Smeding – Social Psychology of Education: An International Journal, 2024
In school settings, students' mindset about intelligence (i.e., fixed versus growth mindset) and their sense of belonging to school (SBS) have both been shown to predict academic attainment. However, these constructs have rarely been examined together although both were found to be impacted by students' socioeconomic status (SES). Across the…
Descriptors: Socioeconomic Status, Student Attitudes, Sense of Community, Intelligence
Liwei Hsu – European Journal of Education, 2025
As generative artificial intelligence (GenAI) increasingly penetrates language education, understanding learners' continued intention to use this technology becomes crucial. This study examines EFL learners' continuance intention to use GenAI for language learning through PLS-SEM and fsQCA methodologies. Participants were undergraduate EFL…
Descriptors: Second Language Learning, English (Second Language), Artificial Intelligence, Student Attitudes
Sozer-Boz, Esra; Akbas, Derya; Kahraman, Nilufer – International Journal of Assessment Tools in Education, 2023
Latent Class and Latent Profile Models are widely used in psychological assessment settings, especially when individual differences are suspected to be related to unobserved class memberships, such as different personality types. This paper provides an easy-to-follow introduction and application of the methodology to the data collected as part of…
Descriptors: Emotional Intelligence, Preservice Teachers, Teacher Education Programs, Personality Traits
Ke Li; Lulu Lun; Pingping Hu – Education and Information Technologies, 2025
Amid the ongoing discussion about the potential of LLMs (Large Language Models) to facilitate language learning, there has been a broad spectrum of views in academia. However, little is known about the different viewpoints of students and what contributes to these differences. In light of this, this study adopts Q-methodology, a mixed-methods…
Descriptors: Student Attitudes, Language Attitudes, Affordances, Artificial Intelligence
Frida Bertilsson; Tova Stenlund; Anna Sundström; Bert Jonsson – European Journal of Psychology of Education, 2024
Retrieval practice is a learning strategy that has repeatedly been found to have positive effects on memory and learning. However, studies indicate that students rarely use retrieval practice on a voluntary basis. The objective of the present study was to examine students' self-regulated use of retrieval practice, and to determine whether sex and…
Descriptors: Metacognition, Learning Strategies, Gender Differences, Individual Differences
Sonja Laine; Elina Kuusisto; Kirsi Tirri – Scandinavian Journal of Educational Research, 2024
There is a lack of research on students' conceptions of giftedness and intelligence, despite recognition of their influence on real-life factors such as achievement and motivation. This paper presents a cross-sectional mixed methods study that investigated Finnish students' (age 6-16 years; N = 1282) implicit conceptions of giftedness and…
Descriptors: Student Attitudes, Gifted, Intelligence, Foreign Countries
Carmen Köhler; Johannes Hartig – Contemporary Educational Technology, 2024
Since ChatGPT-3.5 has been available to the public, the potentials and challenges regarding chatbot usage in education have been widely discussed. However, little evidence exists whether and for which purposes students even apply generative AI tools. The first main purpose of the present study was to develop and test scales that assess students'…
Descriptors: Artificial Intelligence, College Students, Natural Language Processing, Technology Uses in Education
Kleitman, Sabina; Hui, Jessica Sik-Wai; Jiang, Yixin – Metacognition and Learning, 2019
While some individuals are able to confidently make competent choices, others make poor decisions but are unjustifiably confident. What are their individual characteristics? This study examined individual differences in cognitive and metacognitive competence and arrogance. In doing so, we determined the role of metacognitive confidence and…
Descriptors: Cognitive Processes, Metacognition, Individual Differences, Self Esteem
von Stumm, Sophie; Plomin, Robert – Developmental Science, 2018
School performance is one of the most stable and heritable psychological characteristics. Notwithstanding, monozygotic twins (MZ), who have identical genotypes, differ in school performance. These MZ differences result from non-shared environments that do not contribute to the similarity within twin pairs. Because to date few non-shared…
Descriptors: Genetics, Twins, Academic Achievement, Psychological Characteristics
Kapasi, Aamena; Pei, Jacqueline – Canadian Journal of School Psychology, 2022
Mindset theory is an achievement motivation theory that centers on the concept of the malleability of abilities. According to mindset theory, students tend to have either a growth mindset or a fixed mindset about their intelligence; students with a growth mindset tend to believe that intelligence is malleable, whereas students with fixed mindsets…
Descriptors: School Psychology, Preschool Education, Preschool Children, Childrens Attitudes
Kexin Ren – ProQuest LLC, 2021
Students tend to choose a field of study in which they believe they possess the most skills by comparing their performance across different domains, such as math and English. These intraindividual comparisons between domains are known as dimensional comparisons (Moller & Marsh, 2013). There are individual differences in dimensional…
Descriptors: College Students, Middle School Students, High School Students, Student Attitudes
DeBacker, Teresa K.; Heddy, Benjamin C.; Kershen, Julianna Lopez; Crowson, H. Michael; Looney, Kristyna; Goldman, Jacqueline A. – Educational Psychology, 2018
This investigation employed a longitudinal design to examine the influence of a one-shot growth mindset intervention on ninth-graders' implicit beliefs about intelligence and related achievement goals in four different samples. The intervention conformed to characteristics of 'wise interventions'. Participants' incremental beliefs about…
Descriptors: Intervention, Goal Orientation, Intelligence, Incidence
Bergold, Sebastian; Wirthwein, Linda; Steinmayr, Ricarda – Gifted Child Quarterly, 2020
Terman's study was the first to systematically document the lives of the intellectually gifted. This cross-sectional study replicates and extends some of Terman's findings on characteristics of the gifted in childhood, comparing largely unselected samples of gifted (n = 50) and average-ability (n = 50) adolescents matched by means of propensity…
Descriptors: Academic Achievement, Student Motivation, Well Being, Academically Gifted
Wagner, Lisa – Journal of Early Adolescence, 2019
This study investigates the role of character strengths in peer relationships among early adolescents. A sample of students (N = 339; [X bar] age = 12.84 years, 53.1% female) nominated friends in the classroom and completed assessments of character strengths, the desirability and importance of character strengths in a friend, and friendship…
Descriptors: Friendship, Ethics, Personality Traits, Role
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