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Mustopa, Nanda Mulyadi; Mustofa, Romy Faisal; Diella, Dea – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2020
The latest learning in the 21st century requires learners to master various competencies to support their learning process and achieve the expected learning goals. This study aims to determine the relationship between self-regulated learning and learning motivation with metacognitive skills. The research was conducted in May 2020 at SMAN 1…
Descriptors: Correlation, Self Management, Learning Motivation, Metacognition
Wu, Ting-Ting; Chen, Jian-Ming – Journal of Educational Computing Research, 2022
Many countries have incorporated computational thinking (CT) and programming languages into their science and technology courses. Students can improve their CT ability by learning programming languages. Moreover, situated learning enables students to generate knowledge and master problem-solving skills through interaction with situations. This…
Descriptors: Computer Software, Thinking Skills, Programming, Situated Learning
Chou, Mu-Hsuan – Journal of Educational Research, 2021
Task value has a considerable effect on one's interest, motivation, and strategies in learning. Additionally, the social contexts in which a learner studies, such as subject specialization and gender, may potentially influence how successfully one learns. The purpose of this quantitative study is to examine the relationship between task value and…
Descriptors: Vocational High Schools, High School Students, Learning Motivation, Student Interests
Mustami, Muh Khalifah; Safitri, Dian – International Journal of Instruction, 2018
The purpose of this study was to investigate the effects of the Assurance Relevance Interest Assessment Satisfaction (ARIAS) strategies set with Numbered Heads Together (NHT) on students' learning motivation. This quasi experimental study employed a pretest-post test nonequivalent control group design. The population of the research was all the…
Descriptors: Student Motivation, Cooperative Learning, Learning Motivation, Quasiexperimental Design
González, Antonio; Fernández, María-Victoria Carrera; Paoloni, Paola-Verónica – Journal of Research in Science Teaching, 2017
Recent research on achievement in science asserts that motivation, emotion, and metacognition are important driving forces for learning. This study sought to examine the relationships between two physics class emotions (hope and anxiety), their motivational predictors (instrumentality and self-efficacy), and their effects on metacognitive problem…
Descriptors: Psychological Patterns, Anxiety, Physics, Learning Motivation
Alkharusi, Hussain – Electronic Journal of Research in Educational Psychology, 2016
Introduction: Students are daily exposed to a variety of assessment tasks in the classroom. It has long been recognized that students' perceptions of the assessment tasks may influence student academic achievement. The present study aimed at predicting academic achievement in mathematics from perceptions of the assessment tasks after controlling…
Descriptors: Academic Achievement, Predictive Measurement, Predictor Variables, Learning Strategies
Karlen, Yves; Merki, Katharina Maag; Ramseier, Erich – Instructional Science: An International Journal of the Learning Sciences, 2014
The aim of this study was to investigate the development of metacognitive strategy knowledge (MSK) during schooling at the upper secondary education level and to examine its relation with individual student characteristics. This longitudinal study with two measurement points analyzed a sample of students in grades 10 and 11 from 19 schools…
Descriptors: Individual Differences, Metacognition, Prediction, Socioeconomic Status
Lawanto, Oenardi; Santoso, Harry B.; Liu, Yang – Educational Technology & Society, 2012
In this study, the relationship between students' interest in engineering design activities and their expectancy for success in grades 9-12 was evaluated. The theoretical frameworks developed by Eccles and colleagues (i.e., expectancy value) and Butler and Cartier (i.e., what the students bring to contexts under a self-regulated learning…
Descriptors: Design, Engineering Education, Expectation, Student Interests
Schwinger, Malte; Steinmayr, Ricarda; Spinath, Birgit – Learning and Individual Differences, 2009
It was assumed that the effect of motivational regulation strategies on achievement is mediated by effort management and moderated by intelligence. A sample of 231 11th and 12th grade German high-school students provided self-reports on their use of motivational regulation strategies and effort management and completed an intelligence test.…
Descriptors: Intelligence, Grade Point Average, Learning Strategies, Intelligence Tests