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Showing 1 to 15 of 23 results Save | Export
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Davidson, P.; Roslan, S.; Omar, Z.; Chong Abdullah, M.; Looi, S. Y.; Neik, T. T. X.; Yong, B. – Asia Pacific Education Review, 2019
This study reported the results of Structural Equation Modelling (SEM) analyses on 13 competing structural models on the inter-relationships among academic achievement and student- and course-related attributes. The samples were Malaysian pre-university students enrolled in two STEM courses (biology, n = 326; mathematics, n = 339; biology only, n…
Descriptors: Foreign Countries, Academic Achievement, STEM Education, Structural Equation Models
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Magen-Nagar, Noga; Cohen, Lizi – Education and Information Technologies, 2017
The goal of the research was to examine the contribution of learning strategies as a mediator for motivation and a sense of achievement in a Massive Open Online Course (MOOC), among students who participate in a unique program in Israel, called "Academy Online--MOOCs in the Israeli Education System." The goal of the program was to…
Descriptors: Learning Strategies, Academic Achievement, Online Courses, Foreign Countries
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Hong, Eunsook; O'Neil, Harold F.; Peng, Yun – Creativity Research Journal, 2016
Effects of explicit instructions, metacognition, and intrinsic motivation on creative homework performance were examined in 303 Chinese 10th-grade students. Models that represent hypothesized relations among these constructs and trait covariates were tested using structural equation modelling. Explicit instructions geared to originality were…
Descriptors: Metacognition, Motivation, Creativity, Grade 10
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Ibrahim, Mikail; Baharun, Hazleena; Harun, Haliza; Othman, Normah – Malaysian Journal of Learning and Instruction, 2017
Purpose: This study examined the interrelationships between a set of antecedent academic intrinsic motivations and metacognitive strategy such as goal orientation, perceived value and religiosity in Fundamental Knowledge for Matriculation courses (FKM). It also investigated the relationship between intrinsic motivation and metacognitive strategy…
Descriptors: Motivation, Metacognition, Academic Achievement, College Students
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Froiland, John Mark; Worrell, Frank C. – Educational Psychology, 2017
This longitudinal study examined the relationships among parental autonomy support, student intrinsic life goals (i.e. community feeling), student expectations for long-term educational attainment and later academic performance (measured by GPA) in 227 students in an ethnically and racially diverse high school. Hypotheses were tested with…
Descriptors: Personal Autonomy, Expectation, Academic Achievement, Adolescents
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Hong, Jon-Chao; Hwang, Ming-Yueh; Tai, Kai-Hsin; Lin, Pei-Hsin – Computer Assisted Language Learning, 2017
Students of Southeast Asian Heritage Learning Chinese (SSAHLC) in Taiwan have frequently demonstrated difficulty with traditional Chinese (a graphical character) radical recognition due to their limited exposure to the written language form since childhood. In this study, we designed a Chinese radical learning game (CRLG), which adopted a drill…
Descriptors: Motivation, Electronic Learning, Self Efficacy, Academic Achievement
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Weber, Heike S.; Lu, Liping; Shi, Jiannong; Spinath, Frank M. – Learning and Individual Differences, 2013
The present study investigated the roles of cognitive (working memory, intelligence) and motivational variables (self-perceived ability, intrinsic value) in explaining school achievement. The sample consisted of N = 320 German elementary school children in the fourth grade. Working memory and intelligence were assessed in the classroom.…
Descriptors: Elementary School Students, Academic Achievement, Motivation, Short Term Memory
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Kusurkar, R. A.; Ten Cate, Th. J.; Vos, C. M. P.; Westers, P.; Croiset, G. – Advances in Health Sciences Education, 2013
Few studies in medical education have studied effect of quality of motivation on performance. Self-Determination Theory based on quality of motivation differentiates between Autonomous Motivation (AM) that originates within an individual and Controlled Motivation (CM) that originates from external sources. To determine whether Relative Autonomous…
Descriptors: Structural Equation Models, Academic Achievement, Motivation, Self Determination
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Mega, Carolina; Ronconi, Lucia; De Beni, Rossana – Journal of Educational Psychology, 2014
The authors propose a theoretical model linking emotions, self-regulated learning, and motivation to academic achievement. This model was tested with 5,805 undergraduate students. They completed the Self-Regulated Learning, Emotions, and Motivation Computerized Battery (LEM-B) composed of 3 self-report questionnaires: the Self-Regulated Learning…
Descriptors: Academic Achievement, Motivation, Active Learning, Emotional Response
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Liem, Gregory Arief D.; Chua, Bee Leng – Educational Psychology, 2013
The present study assessed the mediating role of expectancy for success and value beliefs in civic education in linking socio-academic factors (gender, ethnicity, school level and prior achievement) to desirable civic attributes. The sample comprised 1664 students in their Year-7-Year-12 (mean age = 14.79, range = 12-18). Structural equation…
Descriptors: Foreign Countries, Academic Achievement, Self Efficacy, Course Content
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Hatlevik, Ove Edvard; Guðmundsdóttir, Gréta Björk; Loi, Massimo – Journal of Information Technology Education: Research, 2015
The purpose of this study was to examine factors predicting lower secondary school students' digital competence and to explore differences between students when it comes to digital competence. Results from a digital competence test and survey in lower secondary school will be presented. It is important to learn more about and investigate what…
Descriptors: Predictor Variables, Secondary School Students, Technological Literacy, Competence
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Elstad, Eyvind; Christophersen, Knut-Andreas; Turmo, Are – Electronic Journal of Research in Educational Psychology, 2012
Introduction: The purpose of this article was to explore the influence of parents and teachers on the deep learning approach of pupils by estimating the strength of the relationships between these factors and the motivation, volition and deep learning approach of Norwegian 16-year-olds. Method: Structural equation modeling for cross-sectional…
Descriptors: Structural Equation Models, Academic Achievement, Motivation, Norwegian
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Tlhoaele, Malefyane; Suhre, Cor; Hofman, Adriaan – European Journal of Engineering Education, 2016
Cooperative learning may improve students' motivation, understanding of course concepts, and academic performance. This study therefore enhanced a cooperative, group-project learning technique with technology resources to determine whether doing so improved students' deep learning and performance. A sample of 118 engineering students, randomly…
Descriptors: Technology Uses in Education, Comprehension, Academic Achievement, Cooperative Learning
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Payandeh Najafabadi, Amir T.; Najafabadi, Maryam Omidi; Farid-Rohani, Mohammad Reza – International Journal of Mathematical Education in Science and Technology, 2013
In Iran, high school graduates enter university after taking a very difficult entrance exam called the Konkoor. Therefore, only the top-performing students are admitted by universities to continue their bachelor's education in statistics. Surprisingly, statistically, most of such students fall into the following categories: (1) do not succeed in…
Descriptors: Structural Equation Models, Academic Achievement, Bayesian Statistics, Performance Factors
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Ning, Hoi Kwan; Downing, Kevin – Higher Education Research and Development, 2011
This study examined the interrelationship between student learning experiences and study behaviour in explaining academic achievement. The participants were 541 final year students from a university in Hong Kong. Students' learning experiences and study behaviour were measured using the Course Experience Questionnaire and the Learning and Study…
Descriptors: Curriculum Design, Teacher Effectiveness, Student Attitudes, Academic Achievement
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