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Nazanin Adhami; Mahboubeh Taghizadeh – Computer Assisted Language Learning, 2024
The objective of this study was twofold: (a) to determine the extent to which three types of instruction could improve writing performance of railway engineering students and (b) to explore students' perceptions of flipped classroom, Edmodo, and Google Docs for improving their academic writing performance. The participants were 61 undergraduate…
Descriptors: Foreign Countries, Transportation, Engineering Education, Writing Instruction
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Xiaoji Wang; Wenying Jiang – Computer Assisted Language Learning, 2024
Affordance refers to the opportunity available to a learning activity. Taking affordance as a theoretical and analytical construct, this exploratory study investigates learners' attitudes and the opportunities WeChat may provide for Chinese cultural knowledge (CCK) learning. The aim is to find out the potential new affordances and compare learners…
Descriptors: Computer Software, Computer Mediated Communication, Cultural Awareness, Learning Activities
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Davy Tsz Kit Ng; Jiahong Su; Jac Ka Lok Leung; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Secondary School Students
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Eman Abdel-Reheem Amin – Online Submission, 2024
In the pursuit of the 2030 Sustainable Development Goals (SDGs), universities play a pivotal role in driving transformative change. This paper focuses on innovative approaches centered around the role of the English language and the integration of artificial intelligence (AI) in English language education. The goal is to empower and prepare…
Descriptors: Artificial Intelligence, Sustainable Development, Objectives, Universities
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Yi-chen Chen – Computer Assisted Language Learning, 2024
Public speaking is considered the most anxiety-provoking speaking activity for English as a foreign language (EFL) learner. While traditional lecture-based classrooms hinder EFL learners' constant practice and frequent interaction due to large class sizes and limited time, recent developments in technology, including Artificial Intelligence (AI),…
Descriptors: Computer Assisted Instruction, Teaching Methods, Oral Language, Second Language Learning
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Hyeseong Lee; Seung H. Kim; Hae Min Yu – International Journal on E-Learning, 2024
Despite the benefits of teaching computational thinking (CT) and applying coding tools in schools, many teachers feel unprepared to use these technologies. Hence, we introduced CT concepts and coding tools to pre-service teachers (n=36; 17 in online class and 19 in in-person class), equipping them with digital competencies through activities with…
Descriptors: Coding, Mathematics Instruction, Pedagogical Content Knowledge, Faculty Development
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Amy Adair – Grantee Submission, 2024
Developing models, using mathematics, and constructing explanations are three practices essential for science inquiry learning according to education reform efforts, such as the Next Generation Science Standards (NGSS Lead States, 2013). However, students struggle with these intersecting practices, especially when developing and interpreting…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Scaffolding (Teaching Technique)
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Shao, Michael; Shiflett, Mark B. – Chemical Engineering Education, 2021
Simulation software has experienced growing interest in chemical engineering curriculums for its usage in commercial engineering practices. This article describes the ASPEN Plus® version 10 (V10) simulations and a student teach students approach to integrate ASPEN in the chemical engineering curriculum at the University of Kansas (KU). Videos,…
Descriptors: Chemical Engineering, Teaching Methods, Computer Simulation, Computer Software
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Nelson, Timothy S.; Albakry, Mohammed – Journal of College Reading and Learning, 2021
The availability of corpora has greatly strengthened the possibilities of identifying high-frequency lexical items in a more systematic and objective manner than has typically been used for vocabulary instruction. This article adopts a corpus-based approach to accommodate the vocabulary instructional needs of students enrolled in university…
Descriptors: Computational Linguistics, Vocabulary Development, Academic Language, Word Frequency
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Scheuerell, Scott – Social Studies, 2021
The author describes how high school students can use Google Tour Builder to track the impact of local Civil War veterans by conducting research with primary and secondary sources. In the article, there is a description of an example from Larned, Kansas where more than one hundred Civil War veterans settled a community on the plains. Digitized…
Descriptors: Social Studies, History Instruction, War, Veterans
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Thontirawong, Pipat; Chinchanachokchai, Sydney – Marketing Education Review, 2021
In the age of big data and analytics, it is important that students learn about artificial intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on building a computer system that can improve itself using experience. ML models can be used to detect patterns from data and recommend strategic marketing actions.…
Descriptors: Marketing, Artificial Languages, Career Development, Time Management
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Balakrishnan, Sangeetha – Journal of Educational Technology, 2021
This paper presents a personal account of the use of Google Classroom as a Learning Management System in the Chemistry theory and laboratory courses with the undergraduate students. Some useful features of the application are presented, with the focus on its affordances to create engaging learning environments. In its professed role in augmenting…
Descriptors: Chemistry, Science Instruction, Computer Software, Integrated Learning Systems
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Soboleva, Elena V.; Suvorova, Tatyana N.; Zenkina, Svetlana V.; Bocharov, Mikhail I. – European Journal of Contemporary Education, 2021
The problem that the given paper aims to solve is associated with the need to resolve the contradiction between the requirements of the digital economy for a high level of computational thinking of specialists of the future and an insufficiently developed methodological base for training graduates that meets these requirements. The purpose of the…
Descriptors: Computer Games, Computer Science Education, Computer Software, Specialists
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Riske, Amanda K.; Cullicott, Catherine E.; Mirzaei, Amanda Mohammad; Jansen, Amanda; Middleton, James – Mathematics Teacher: Learning and Teaching PK-12, 2021
In this article, the authors introduce the Into Math Graph tool, which helps teachers learn about their students' mathematics-related experiences and mathematical engagement by inviting students to define and graph their engagement over time. This tool documents and allows teachers to understand how and why students' engagement increases,…
Descriptors: Mathematics Instruction, Teaching Methods, Learner Engagement, Graphs
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Valentine, Andrew; Van der Veen, Tom; Kenworthy, Patrick; Hassan, Ghulam Mubashar; Guzzomi, Andrew; Khan, R. Nazim; Male, Sally A. – Australasian Journal of Educational Technology, 2021
A barrier to using head mounted display (HMD) virtual reality (VR) in education is access to hardware for large classes. This paper compares students' learning when engaging with an HMD VR simulation as the operator and as the observer, to evaluate whether benefits of HMD VR can be achieved without requiring all students to operate the equipment.…
Descriptors: Educational Technology, Technology Uses in Education, Computer Simulation, Graduate Students
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