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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
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
Chutinan Noobutra – LEARN Journal: Language Education and Acquisition Research Network, 2024
The present study investigates whether or not Thai students' English writing skills can be improved by using an online grammar checker. First, typical syntactic errors made by undergraduate students majoring in English and English for Careers were examined. Secondly, possible reasons for syntactic errors in English writing in the light of Lado's…
Descriptors: Error Correction, Native Language, Second Language Learning, Second Language Instruction
Tiffany Wu; Christina Weiland – Society for Research on Educational Effectiveness, 2024
Background/Context: Chronic absenteeism is a serious problem that has been linked to lower academic achievement, diminished socioemotional skills, and an increased likelihood of high school dropout (Allensworth et al., 2021; Gottfried, 2014). As a result, many schools have begun to embrace early warning systems (EWS) as a tool to identify and flag…
Descriptors: Attendance, Early Childhood Education, Intervention, Artificial Intelligence
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
Mingjie Zou; Binhai Ren – Journal for the Psychology of Language Learning, 2024
Flow, a subjective state of optimal engagement and immersion, is characterized by a balance of perceived challenges and skills, interest, attention, and a sense of control (Csikszentmihalyi, 1990). Investigating flow in language learning can provide valuable insights into effective learning processes and contexts (Egbert, 2003). Self-regulated…
Descriptors: Metacognition, Learning Strategies, English (Second Language), Second Language Learning
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
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
Peer reviewedAmy 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)
Fridge, Evorell; Bagui, Sikha – International Journal of Information and Communication Technology Education, 2016
The goal of this research was to investigate the effects of automated testing software on levels of student reflection and student performance. This was a self-selecting, between subjects design that examined the performance of students in introductory computer programming classes. Participants were given the option of using the Web-CAT…
Descriptors: Computer Assisted Testing, Computer Software, Computer Software Evaluation, Reflection
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
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
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
Akilli, Mustafa – European Journal of Educational Sciences, 2021
This paper focuses on examining the effectiveness of three-dimensional (3D) computer models on student teachers' academic achievement, mental model construction, and spatial ability used in learning the "atomic models" topic in this study. The students were randomly assigned into two groups: the treatment group (TG) where 3D computer…
Descriptors: Computer Simulation, Nuclear Physics, Undergraduate Study, College Science
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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