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Asmaa Falah Theiyab Alazemi – Language Testing in Asia, 2024
This paper investigates the effects of formative assessment (FA) via artificial intelligence (AI) on EFL students' reading comprehension development, online academic enjoyment, personal best goals (PBGs), and academic mindfulness. To achieve this, 80 Kuwaiti students were selected through convenience sampling and divided into the experimental…
Descriptors: Formative Evaluation, Artificial Intelligence, Reading Comprehension, Electronic Learning
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Kamen T. Engel; Jonathan Davidson; Alison Jolley; Ben Kennedy; Alexander R. L. Nichols – Journal of Geoscience Education, 2024
A virtual microscope resource was created when face-to-face labs were halted due to the COVID-19 pandemic in March 2020 to replicate the learning goals of an introductory petrology course on microscopy. This virtual microscope resource utilized images and videos of thin sections, as well as 3D rock models to allow students to complete labs online.…
Descriptors: Laboratory Equipment, Blended Learning, Science Laboratories, Geology
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Aydin Bulut; Mustafa Yildiz – Journal of Computer Assisted Learning, 2024
Background: The use of computer-assisted reading comprehension is of critical importance in the context of promoting effective and engaging literacy education in the digital age. It provides students with the opportunity to work at their own pace and convenience, thereby facilitating self-directed learning and accommodating various learning…
Descriptors: Computer Assisted Instruction, Direct Instruction, Reading Comprehension, Technology Uses in Education
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Ali Kolomuç; Mustafa Metin; Volkan Bilir – Shanlax International Journal of Education, 2024
During the COVID-19 pandemic, educators reported that the most affected group in distance education was special needs students. Educators also provided critical reports stating that special needs students miss or fail to understand activities in online education. The reason for this issue can be the lack of access to resources, the inability to…
Descriptors: Computer Assisted Instruction, Special Needs Students, Scientific Attitudes, Science Achievement
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Jianhua Zhang; Lawrence Jun Zhang – Computer Assisted Language Learning, 2024
This study mainly explored the effects of teacher feedback, peer feedback and automated feedback on the use of metacognitive strategies in EFL writing. Ninety-seven participants were recruited and divided into three groups, who received two months of feedback from teachers, peers and an automatic writing evaluation system, respectively, and then…
Descriptors: Feedback (Response), Metacognition, English (Second Language), Second Language Learning
Severin A. Cornelius – ProQuest LLC, 2024
This phenomenological study investigates teacher experiences using i-Ready's literacy-based software with Black male fifth-grade students in an urban school district in the Northeast region of the United States. The participant's knowledge about i-Ready is fundamental to understanding the program's impact on Black male fifth-grade students. This…
Descriptors: Elementary School Teachers, Elementary School Students, Grade 5, Blacks
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Beyza Ucar-Longford; Anesa Hosein; Marion Heron – Journal of Digital Learning in Teacher Education, 2024
The literature widely reports that pre-service teachers repeatedly demonstrate inadequate argumentation skills. Through a mixed-methods research approach, this study investigated the effectiveness of a holistic online scaffolding design for guiding the development of pre-service teachers' argumentation skills. Participants were randomly assigned…
Descriptors: Preservice Teachers, Preservice Teacher Education, Persuasive Discourse, Skill Development
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Raz Harel; Shai Olsher; Michal Yerushalmy – Research in Mathematics Education, 2024
Conjectures are a key component of mathematical inquiry, a process in which the students raise conjectures, refute or dismiss some of them, and formulate additional ones. Taking a design-based research approach, we formulated a design principle for personal feedback in supporting the iterative process of conjecturing. We empirically explored the…
Descriptors: Mathematics Instruction, Teaching Methods, Feedback (Response), Thinking Skills
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Shakiba Razmeh – Journal for Multicultural Education, 2024
Purpose: The purpose of this study is to examine the impact of computer-assisted language learning on cultural adaptation and language learning in non-traditional classroom settings. Design/methodology/approach: The data of this study came from extended periods of observation, multiple rounds of semi-structured interviews and home visits. Using…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Instruction, Second Language Learning
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Florence Martin; Swapna Kumar; Albert Ritzhaupt; Drew Polly – Online Learning, 2024
Bichronous online learning is the intentional blending of asynchronous and synchronous online learning experiences. Twelve award-winning online instructors participated in interviews to discuss best practices they use, and benefits and challenges in bichronous online courses. When sharing best practices for bichronous online courses, online…
Descriptors: Electronic Learning, Asynchronous Communication, Synchronous Communication, Teaching Methods
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Ümran Üstünbas – International Journal of Modern Education Studies, 2024
In an era of major advances in the digital world, artificial intelligence has been a part of programs, tools, applications, and platforms. It has also been integrated into fields of education including language teaching and learning. To this end, ChatGPT, one of the most recent AI-driven systems, has been proposed to support language learners'…
Descriptors: English Language Learners, English (Second Language), Artificial Intelligence, Speech Skills
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Yizhuo Zhou; Xuande Wu; Kunyang Qu – Language Teaching Research Quarterly, 2024
Recent advancements in artificial intelligence, particularly OpenAI's ChatGPT, have transformed English language learning through Computer-Assisted Language Learning (CALL) tools. This study examined the adoption of ChatGPT among university-level English learners employing the Hedonic Motivation System Adoption Model (HMSAM). An online survey was…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
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Kelsey E. Schenck; Doy Kim; Fangli Xia; Michael I. Swart; Candace Walkington; Mitchell J. Nathan – Grantee Submission, 2024
Access to body-based resources has been shown to augment cognitive processes, but not all movements equally aid reasoning. Interactive technologies, like dynamic geometry systems (DGS), potentially amplify the link between movement and geometric representation, thereby deepening students' understanding of geometric properties. This study…
Descriptors: Geometric Concepts, Task Analysis, Thinking Skills, Validity
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Herzog, Moritz; Casale, Gino – International Electronic Journal of Elementary Education, 2022
Mathematics difficulties (MD) affect about 20% of the students in German schools. Almost half of them also exhibit emotional and behavioral difficulties (EBD). While a growing number of mathematics interventions target children with MD separately, there is a lack of evidence for the effectiveness of these interventions for children with combined…
Descriptors: Mathematics Instruction, Computer Assisted Instruction, Elementary School Students, Students with Disabilities
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Ouyang, Fan; Xu, Weiqi – Journal of Educational Computing Research, 2022
Collaborative concept mapping, as one of the widely used computer-supported collaborative learning (CSCL) modes, has been used to foster students' meaning making, problem solving, and knowledge construction. Previous empirical research has used varied instructional scaffoldings and has reported different effects of those scaffoldings on…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Concept Mapping, Problem Solving
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