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Dominic Lohr; Hieke Keuning; Natalie Kiesler – Journal of Computer Assisted Learning, 2025
Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defined by experts and their experience. However, with the rise of generative AI and especially large…
Descriptors: College Students, Programming, Artificial Intelligence, Feedback (Response)
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Shard; Devesh Kumar; Sapna Koul – International Journal of Information and Learning Technology, 2024
Purpose: This study aims to gain insights into how students perceive online examination practices and evaluation, as well as identify the key factors that impact their intentions toward online exams. Design/methodology/approach: This empirical study conducted in India utilized an online survey method between May 24 and June 14, 2022. The data were…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Student Attitudes
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Pankaj Chavan; Ritayan Mitra; Abhinav Sarkar; Aditya Panwar – Educational Technology Research and Development, 2024
The use of Experience Sampling Methods (ESM) to assess students' experiences, motivation, and emotions by sending signals to students at random or fixed time points has grown due to recent technological advances. Such methods offer several advantages, such as capturing the construct in the moment (i.e., when the events are fresh on respondents'…
Descriptors: Reliability, Validity, Student Attitudes, Self Disclosure (Individuals)
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Yongliang Wang; Ali Derakhshan; Miroslaw Pawlak; Mostafa Mehdizadeh – Studies in Second Language Learning and Teaching, 2024
Learning a second language is a life-long process requiring acquaintance with a repertoire of language learning strategies (LLS). Despite copious research on LLS and their role in fostering autonomous learning, few studies have examined strategies employed when trying to master specific subsystems of the target language, especially grammar.…
Descriptors: Grammar, Learning Strategies, Psychometrics, Second Language Learning
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Méndez Hinojosa, Luz Marina; Segura Arévalo, María Leticia – European Journal of Educational Research, 2022
In higher education, it is essential that students apply what they have learned to solve problems in their community. Meaningful learning is the main means to increase the accumulation of knowledge and achieve the transfer of learning, which is why the present study aimed to: design and evaluate the psychometric properties of a scale that measures…
Descriptors: Psychometrics, Learning Strategies, Factor Analysis, Measures (Individuals)
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Gan, Zhengdong; Yuan, Zheng; Schumacker, Randall – Journal of Psychoeducational Assessment, 2023
This study examined the psychometric properties of the Motivational scale of the Motivated Strategies for Learning Questionnaire in a sample of 656 Chinese secondary students in an English learning context. Exploratory factor analysis and confirmatory factor analysis results suggested that a five-factor motivational structure fit the data better…
Descriptors: Psychometrics, Secondary School Students, Foreign Countries, English (Second Language)
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Fukuda, Akiko – Journal for the Psychology of Language Learning, 2022
This study developed a Self-Regulated Second Language Self-Study Questionnaire that addresses the self-regulated learning (SRL) skills of learners of English as a foreign language in a self-study setting. Much attention has been paid to SRL in second language acquisition; however, contexts outside school have hardly been explored. To address this…
Descriptors: Learning Strategies, Questionnaires, Metacognition, Second Language Learning
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Villarreal-Fernández, Jorge Eliécer; Arroyave-Giraldo, Dora Inés – Electronic Journal of Research in Educational Psychology, 2022
Introduction: The objective of this work is to present the results of the adaptation and validation process of the Motivated Scale Learning Questionnaire (MSLQ) in university students in Colombia. Method: The research is framed in the so-called instrumental studies, which seek to adapt, validate and analyze the psychometric properties of an…
Descriptors: Foreign Countries, Learning Strategies, Questionnaires, Factor Analysis
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Cheng, Kun-Hung; Tsai, Chin-Chung – British Journal of Educational Technology, 2020
Researchers have been devoted to exploring the impacts of immersive virtual reality (IVR) on education in recent years. However, efforts to probe the role of students' learning traits such as motivated strategies for learning in their IVR learning have been limited. Most studies commonly analyzed learners' perceptions of immersion with a single…
Descriptors: Student Motivation, Student Attitudes, Science Instruction, Computer Simulation
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Qetrani, Safâ; Achtaich, Naceur – Journal on Mathematics Education, 2022
To measure the procedural and conceptual knowledge of functions and to clarify the relationship between them in the context of mathematics education in Morocco, a structural equation modeling (SEM) analysis was used. In addition, correlation tests between students' grades at their Mathematical Analysis Assessments and their procedural and…
Descriptors: Correlation, Mathematics Instruction, Foreign Countries, Factor Analysis
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Zhang, Jiayi; Andres, Juliana Ma. Alexandra L.; Hutt, Stephen; Baker, Ryan S.; Ocumpaugh, Jaclyn; Nasiar, Nidhi; Mills, Caitlin; Brooks, Jamiella; Sethuaman, Sheela; Young, Tyron – Journal of Educational Data Mining, 2022
Self-regulated learning (SRL) is a critical component of mathematics problem-solving. Students skilled in SRL are more likely to effectively set goals, search for information, and direct their attention and cognitive process so that they align their efforts with their objectives. An influential framework for SRL, the SMART model (Winne, 2017),…
Descriptors: Problem Solving, Mathematics Instruction, Learning Management Systems, Learning Analytics
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Lee, Shuangshuang; Wang, Tengfei; Ren, Xuezhu – Educational Psychology, 2020
The present study investigated whether and how learning-specific inner speech predicted students' learning strategy and academic performance. Frequencies of inner speech use in specific learning settings were assessed. Four dimensions of inner speech including self-criticism, self-reinforcement, self-management, and social assessment were…
Descriptors: Inner Speech (Subvocal), Learning Strategies, Criticism, Self Management
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Abdelsamea, Mohammed Abdelhady; Bart, William – International Journal of Teaching and Learning in Higher Education, 2019
Although there is a robust body of research that has addressed the psychometric properties of the Learning and Study Strategies Inventory (LASSI) in different populations, no study has yet investigated the factor structure and congeneric reliability of the Arabic version of the Learning and Study Strategies Inventory, 2nd edition (LASSI-II) among…
Descriptors: Semitic Languages, Undergraduate Students, Factor Analysis, Factor Structure
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Chou, Chun-Mei; Shen, Chien-Hua; Hsiao, Hsi-Chi; Shen, Tsu-Chguan – International Journal of Psychology and Educational Studies, 2018
This study describes the development and validation of self-regulated learning strategies scale, a 30-item scale that measures pre-teachers self-regulated learning strategies toward Industry 4.0 & 107 Curriculum Reform. A total of 476 pre-teachers completed the questionnaire. A pilot study (n= 120) was examined factorial validity and…
Descriptors: Metacognition, Learning Strategies, Factor Analysis, Measures (Individuals)
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McCord, Rachel E.; Matusovich, Holly M. – Journal of Engineering Education, 2019
Background: The use of metacognition is critical to learning, especially in fields such as engineering that involve problem-solving and difficult conceptual material. Due to limitations with current methodological approaches, new methods are needed to investigate engineering students' metacognitive engagement in learning situations that are…
Descriptors: Metacognition, Engineering Education, Problem Solving, Learning Processes
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