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Wang, Na; Chen, Juanwen; Zhang, Jingyuan – Computer Assisted Language Learning, 2022
This paper reports on the development of constructive EAP CALL courseware, and its integration into blended learning contexts, as a solution to the problems in EAP courses in Chinese universities. A case study of a defining skills package, developed for undergraduates at the University of Science and Technology Beijing (USTB), is used to…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Courseware
Özçakir, Bilal; Özdemir, Duygu; Kiymaz, Yasemin – International Journal of Contemporary Educational Research, 2020
Gifted students have potential to improve countries and this potential can be revealed and developed in schools where they spend most of their times with other regular students. However, these classrooms have some limitations for them; hence, they need some differentiated activities. Usage of dynamic geometry in mathematics lessons could be an…
Descriptors: Geometry, Mathematics Instruction, Gifted, Teaching Methods
Seedhouse, Paul; Heslop, Phil; Kharruf, Ahmed – TESL-EJ, 2020
Cooking is a universal task of humanity and is intimately linked with culture and language. This article explains the advantages of using real-world cooking as a basis for task-based and technology-assisted language learning. It outlines how the latest digital technology can be used by learners over the Internet to learn aspects of languages and…
Descriptors: Cooking Instruction, Internet, Food, Curriculum Enrichment
Eriksen, Kristina; Nielsen, Bjarne E.; Pittelkow, Michael – Journal of Chemical Education, 2020
We present a simple procedure to make an augmented reality app to visualize any chemical 3D model. The molecular structure may be based on crystallographic data or from computational modeling. This guide is made in such a way that no programming skills are needed, and the procedure uses free software and provides a way to visualize 3D structures…
Descriptors: Chemistry, Molecular Structure, Science Instruction, Teaching Methods
Woodworth, Johanathan; Barkaoui, Khaled – TESL Canada Journal, 2020
While feedback is widely considered essential for second language (L2) writing development (Bitchener & Ferris, 2012), teachers may not always be able to provide their learners with immediate and frequent corrective feedback. Automated writing evaluation (AWE) systems can help respond to this challenge by providing L2 learners with written…
Descriptors: Writing Evaluation, Feedback (Response), Error Correction, Second Language Instruction
Golenhofen, Nikola; Heindl, Felix; Grab-Kroll, Claudia; Messerer, David A. C.; Böckers, Tobias M.; Böckers, Anja – Anatomical Sciences Education, 2020
Hand-held devices have revolutionized communication and education in the last decade. Consequently, mobile learning (m-learning) has become popular among medical students. Nevertheless, there are relatively few studies assessing students' learning outcomes using m-learning devices. This observational study presents an anatomy m-learning tool…
Descriptors: Anatomy, Undergraduate Students, Telecommunications, Handheld Devices
Song, Yanjie; Yang, Yin – Research-publishing.net, 2020
The purpose of this study was to investigate the effect of a mobile User-Generated-Content (m-UGC) tool on enhancing primary students' vocabulary learning motivation and learning outcomes. A total of 40 primary students in Hong Kong participated in this study. The results showed using the m-UGC tool could increase primary students' learning…
Descriptors: Elementary School Students, Vocabulary Development, Telecommunications, Handheld Devices
Özer, Seda; Akay, Cenk – Journal on School Educational Technology, 2023
Mobile Assisted Language Learning (MALL) is an innovative approach to language learning that utilizes mobile devices, such as smartphones and tablets, to support language learning. MALL has become increasingly popular in recent years due to the widespread availability of mobile devices and the flexibility they offer for language learning. The aim…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Handheld Devices
Handley, Zoe – Language Teaching, 2018
This paper argues that key findings from computer-assisted language learning (CALL) research need to be replicated to permit the construction of a valid and reliable evidence-base which can inform the design of future CALL software and activities, together with language teachers' decisions about their adoption. Through the critical examination of…
Descriptors: Replication (Evaluation), Computer Assisted Instruction, Second Language Instruction, Second Language Learning
Porter, J. – Journal of Computer Assisted Learning, 2018
Tablets have much to offer children with learning difficulties, but evidence of their effectiveness to teach academic skills is limited and cannot be easily separated from the quality of the software. This paper analyses data from 3 iterative cycles of designing an app for children with Down syndrome to support their awareness of quantity through…
Descriptors: Down Syndrome, Computer Software, Learning Problems, Handheld Devices
Cornelisz, Ilja; Klaveren, Chris – Journal of Computer Assisted Learning, 2018
A prerequisite for low-stakes activities to improve learning is to keep students engaged when confronted with challenging material. Comparing a personalized and non-personalized version of computerized practising, this study experimentally evaluates the relationships between student effort and ability across different dimensions of task…
Descriptors: Learner Engagement, Computer Assisted Instruction, Correlation, Summative Evaluation
González-Gómez, David; Jeong, Jin Su – Education Sciences, 2019
In education, the use of information, computers, and the Internet as a form of blended technology has been receiving increased attention and consideration. Additionally, increasing attention is being paid toward a scaffolding mechanism that can be integrated into science classrooms in order to solve technological challenges. This work describes a…
Descriptors: Blended Learning, Science Education, Scaffolding (Teaching Technique), Electronic Learning
Qazdar, Aimad; Er-Raha, Brahim; Cherkaoui, Chihab; Mammass, Driss – Education and Information Technologies, 2019
The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…
Descriptors: Data Analysis, Academic Achievement, At Risk Students, High School Students
Pratidhina, Elisabeth; Pujianto; Sumardi, Yosaphat – International Journal of Instruction, 2019
The research aims to: (1) produce a computer program as a learning resource on gas law topics; (2) determine the appropriateness and quality of the computer program; and (3) describe the effectiveness of the computer program to help students in learning the concept of gas law. We employed 4D (define, design, develop, disseminate) models in this…
Descriptors: Foreign Countries, High School Students, Secondary School Science, Physics
Lindgren, Robb; Morphew, Jason; Kang, Jina; Junokas, Michael – Mind, Brain, and Education, 2019
Research from brain science and the learning sciences support the notion that human cognition is grounded in our sensorimotor engagement with the physical world and that processes of learning can be shaped by our movements and actions. Increasing recognition that effective educational interventions can be seeded with embodied actions is paralleled…
Descriptors: Neurosciences, Schemata (Cognition), Sensory Integration, Nonverbal Communication

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