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No Child Left Behind Act 20011
Showing 1 to 15 of 443 results Save | Export
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Chasetareh, Fatemeh; Barabadi, Elyas; Khajavy, Gholam Hassan; Flett, Gordon L. – Journal of Psychoeducational Assessment, 2023
The current study investigated how perfectionism can be related to L2 learners' achievement with motivation and two aspects of self-regulated learning as possible mediators. This study also evaluated the factor structure of the Big Three Perfectionism Scale (BTPS) in an Iranian sample. The participants were 495 Iranian high school students who…
Descriptors: Personality Traits, High School Students, Student Motivation, Independent Study
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Shi, Dan; Irwin, Derek; Du, Ping – Classroom Discourse, 2023
The present study aims to explore an embodied approach to students' deep learning; specifically, how deep learning is interactively achieved through teachers' languaging dynamics and multimodal representations in interactive lecturing in L2 higher education (HE) contexts. The purpose is to understand how an instructor's embodied and multimodal…
Descriptors: Second Language Learning, Second Language Instruction, Classroom Communication, Student Participation
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Ivan D. Mardini G.; Christian G. Quintero M.; César A. Viloria N.; Winston S. Percybrooks B.; Heydy S. Robles N.; Karen Villalba R. – Education and Information Technologies, 2024
Today reading comprehension is considered an essential skill in modern life, therefore, higher education students require more specific skills to understand, interpret and evaluate texts effectively. Short answer questions (SAQs) are one of the relevant and proper tools for assessing reading comprehension skills. Unlike multiple-choice questions,…
Descriptors: Reading Comprehension, Reading Tests, Learning Strategies, Grading
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Zhan, Ying; Jiang, Yushan; Wan, Zhi Hong; Guo, Jin Jun – Asia-Pacific Education Researcher, 2021
Drawing from Expectancy-Value Theory, this study explored the extent to which the interaction between learning motives for and self-efficacy in learning English as a foreign language (EFL) predicted deep language learning strategies by involving 693 undergraduates from mainland China in a survey. Stepwise multiple regression indicated that (i) as…
Descriptors: Undergraduate Students, Learning Strategies, Learning Theories, Second Language Learning
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Fatemeh Shamsi Lameshkani; Hassan Soleimani; Hooshang Khoshsima; Manoochehr Jafarigohar – Innovations in Education and Teaching International, 2024
Constructive alignment, as a less examined issue in the English language learning context, is a technique to align learning outcomes, teaching activities, and assessment based on the competencies that learners need to achieve. This study examined whether teaching academic paragraph writing in a virtual flipped classroom according to the…
Descriptors: Alignment (Education), Writing (Composition), Electronic Learning, Flipped Classroom
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Keezhatta, Muhammed Salim – Arab World English Journal, 2019
Natural Language Processing (NLP) platforms have recently reported a higher adoption rate of Artificial Intelligence (AI) applications. The purpose of this research is to examine the relationship between NLP and AI in the application of linguistic tasks related to morphology, parsing, and semantics. To achieve this objective, a theoretical…
Descriptors: Models, Correlation, Natural Language Processing, Artificial Intelligence
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Tahir, Khazima – Journal for Leadership and Instruction, 2015
The purpose of this study was to contrast undergraduate students' descriptions about transformational teaching practices, and student deep learning in bachelor English programs in selected universities within Pakistan. This study utilized a survey to gather responses from five hundred and twenty three students. A paired sample t test was utilized…
Descriptors: Foreign Countries, Universities, Teaching Methods, English Literature
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Irgatoglu, Aydan – Education Quarterly Reviews, 2021
This study identifies the level of L2 motivational self-system (L2MSS) consisting of Ideal L2 Self, Ought-to L2 Self, and L2 Learning Experience, and the application of deep and surface learning strategies on high school students regarding gender and grades. The study is designed in both correlation and descriptive comparative models. The research…
Descriptors: Second Language Learning, Student Motivation, Learning Strategies, Self Motivation
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Catherine Akoth Ongoro; Yong-Yi Fanjiang – IEEE Transactions on Learning Technologies, 2024
This article aims to provide a systematic review of existing research on the use of digital game-based learning (DGBL) technology for foreign language (English) in preschool and elementary schools. Digital game-based technology enables learning to become more interactive and inspirational, thereby enhancing language acquisition. The authors…
Descriptors: Game Based Learning, Elementary School Students, Preschool Education, Creativity
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Pérez-Núñez, Antonio – Hispania, 2023
ChatGPT employs a deep learning (DL) model constructed using artificial neural networks and designed to analyze input data and extract increasingly complex features (Hu and Buehler 2023). Its chatbot interface makes it easy to use, requiring just a prompt to generate a response from the model. It is capable of producing fluent text in multiple…
Descriptors: Spanish, Second Language Learning, Second Language Instruction, Artificial Intelligence
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Kornwipa Poonpon; Paiboon Manorom; Wirapong Chansanam – Contemporary Educational Technology, 2023
Automated essay scoring (AES) has become a valuable tool in educational settings, providing efficient and objective evaluations of student essays. However, the majority of AES systems have primarily focused on native English speakers, leaving a critical gap in the evaluation of non-native speakers' writing skills. This research addresses this gap…
Descriptors: Automation, Essays, Scoring, English (Second Language)
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Xiaxia Cao; Yao Zhao; Xiang Li – Education and Information Technologies, 2024
Various studies have been conducted on applying intelligent recognition technology, especially speech recognition technology to improve English learning ability, mostly listening and speaking. However, few studies have touched on how image-to-text recognition technology can be used for writing. The present research was conducted to fill this gap…
Descriptors: Captions, Second Language Learning, Second Language Instruction, Teaching Methods
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Mazlum, Farhad; Cheraghi, Fereshteh; Dasta, Mahdi – International Journal of Educational Psychology, 2015
This study aimed at investigating the direct and indirect effects that teachers' self-efficacy beliefs exert on students' learning approaches via affecting their perceptions of classroom structure. The sample included 40 English teachers and 240 first-grade female students from high schools in Iran. To collect data, three questionnaires were…
Descriptors: Self Efficacy, Cognitive Style, Teacher Attitudes, Classroom Environment
Botarleanu, Robert-Mihai; Dascalu, Mihai; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2020
A key writing skill is the capability to clearly convey desired meaning using available linguistic knowledge. Consequently, writers must select from a large array of idioms, vocabulary terms that are semantically equivalent, and discourse features that simultaneously reflect content and allow readers to grasp meaning. In many cases, a simplified…
Descriptors: Natural Language Processing, Writing Skills, Difficulty Level, Reading Comprehension
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Khajah, Mohammad; Lindsey, Robert V.; Mozer, Michael C. – International Educational Data Mining Society, 2016
In theoretical cognitive science, there is a tension between highly structured models whose parameters have a direct psychological interpretation and highly complex, general-purpose models whose parameters and representations are difficult to interpret. The former typically provide more insight into cognition but the latter often perform better.…
Descriptors: Bayesian Statistics, Data Analysis, Prediction, Intelligent Tutoring Systems
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