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Christian Gießer; Johannes Schmitt; Emma Löwenstein; Christian Weber; Veit Braun; Rainer Brück – IEEE Transactions on Learning Technologies, 2024
Digital technologies have transformed medical care and education by providing rapid access to knowledge and advanced methods, such as augmented reality and haptic feedback. These technologies are improving the efficiency of healthcare professionals and the quality of medical education. Particularly in Germany, where a shortage of skilled workers…
Descriptors: Computer Simulation, Medical Education, Technology Uses in Education, Feedback (Response)
Rachel G. Barnett; Paul W. Cascella – Communication Disorders Quarterly, 2025
This research examined the cost and features of 20 speech sound disorder (SSD) treatment apps as part of the feature mapping paradigm. Methods included the development of a 48-item SSD checklist culled from the extant literature and sorted into 10 categories: linguistic level, feedback types, customization, image types, image iconicity, speech…
Descriptors: Speech Impairments, Intervention, Computer Oriented Programs, Speech Skills
Nilay Muslu; Marcelle A. Siegel – Journal of Science Education and Technology, 2024
Assessment feedback is an essential way to promote student learning. Students and teachers may benefit from educational technologies during the feedback process. The purpose of this study was to identify the feedback dimensions that were fulfilled by iPad applications (apps) and to compare teacher practice to the affordances of apps. Typological…
Descriptors: Feedback (Response), Teaching Methods, Tablet Computers, Computer Oriented Programs
Outhwaite, Laura A.; Early, Erin; Herodotou, Christothea; Van Herwegen, Jo – British Journal of Educational Technology, 2023
Educational applications (apps) are ubiquitous within children's learning environments and emerging evidence has demonstrated their efficacy. However, it remains unclear what the active ingredients (ie, mechanisms), or combination of ingredients, of successful maths apps are. The current study developed a new, open-access, three-step framework for…
Descriptors: Educational Technology, Computer Oriented Programs, Mathematics Education, Early Childhood Education
Ujjwal Biswas; Samit Bhattacharya – Education and Information Technologies, 2024
The application of machine learning (ML) has grown and is now used to enhance learning outcomes. In blended classroom settings, ML, emerging smartphones and wearable technologies are commonly used to improve teaching and learning. The combination of these advanced technologies and ML plays a crucial role in enhancing real-time feedback quality.…
Descriptors: Artificial Intelligence, Blended Learning, Flipped Classroom, Technology Uses in Education
Ling, Cheung Yin; Choy, Doris; Wei Jhen, Liang – Education 3-13, 2023
Little published research has investigated how students interact with authentic audiences. By conducting a two-year classroom-based research intervention with 617 students from three government-aided primary schools in Singapore, this study examined the effect of the socio-cognitive and motivation-and-learning (SCML) approach on students' writing…
Descriptors: Elementary School Students, Foreign Countries, Student Motivation, Writing (Composition)
Bing Mei; Wenya Qi; Xiao Huang; Shuo Huang – RELC Journal: A Journal of Language Teaching and Research, 2024
Recent years have witnessed the growing presence of artificial intelligence in language learning apps. Against this backdrop, this technology review provides an overview of the affordances of Speeko and discusses its potential in developing English-as-a-foreign-language students' public speaking skills.
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Speech Communication, Speech Skills
A. K. Somasekhar; Arunita Tushar Jagzape; Meenakshi Sinha; Ramanjan Sinha – Advances in Physiology Education, 2024
The significance of assessment in driving learning is undeniable, particularly in oral assessments like viva voce where students express themselves verbally. However, traditional viva voce examinations' challenges include reliability, objectivity, content validity, time constraints, varying question difficulty levels, inconsistency in questioning…
Descriptors: Computer Oriented Programs, Computer Software, Formative Evaluation, Medical Students
Bikanga Ada, Mireilla – Technology, Knowledge and Learning, 2023
This paper reports an evaluation of a mobile web application, "MyFeedBack", that can deliver both feedback and marks on assignments to students from their lecturer. It enables them to use any device anywhere, any time to check on, and receive their feedback. It keeps the feedback private to the individual student. It enables and…
Descriptors: Technology Uses in Education, Feedback (Response), Student Evaluation, Computer Oriented Programs
Thomas Sergent; Morgane Daniel; François Bouchet; Thibault Carron – IEEE Transactions on Learning Technologies, 2024
Self-regulated learning (SRL) skills are critical for students of all ages to maximize their learning. Two key processes of SRL are being aware of one's performance (self-evaluation) and believing in one's capabilities to produce given attainments (self-efficacy). To assess and improve these capabilities in young children (5-8), we use a literacy…
Descriptors: Self Evaluation (Individuals), Self Efficacy, Self Management, Children
Hanieh Shafiee Rad; Rasoul Alipour; Aliakbar Jafarpour – Interactive Learning Environments, 2024
Technology and artificial intelligence (AI) advancements are increasingly impacting second language (L2) learning, particularly in writing skills development. Motivated students seeking writing feedback can benefit from AI implementation, with writing feedback literacy being crucial for effective use. Engaged students with specific writing goals…
Descriptors: Artificial Intelligence, Writing (Composition), Feedback (Response), Literacy
Jingjing Zhu; Xi Zhang; Jian Li – Computer Assisted Language Learning, 2024
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pronunciation Instruction, Second Language Instruction
Baran, Evrim; AlZoubi, Dana; Bahng, E. J. – Journal of Digital Learning in Teacher Education, 2023
Mobile tools are integrated into teacher education settings to provide contextualized, connected, and collaborative teacher learning practices. In this case study, the video-enhanced observation (VEO) app was used in a science methods course to facilitate preservice teachers' reciprocal peer-teaching of inquiry-based lesson study. This research…
Descriptors: Video Technology, Technology Uses in Education, Observation, Peer Teaching
Qianru Li; Kan Kan Chan – Education and Information Technologies, 2024
Mobile-assisted Language Learning (MALL) has been widely adopted in teaching and learning, yet there has been scant research concerning speaking test adaptation. An emerging type of mobile application is designed to facilitate test takers' performance in a high-stakes speaking test (e.g., the International English Language Testing System (IELTS)).…
Descriptors: Student Attitudes, Test Wiseness, Computer Assisted Testing, Handheld Devices
Ian Thacker; Hannah French; Shon Feder – International Journal of Science Education, 2025
Presenting novel numbers about climate change to people after they estimate those numbers can shift their attitudes and scientific conceptions. Prior research suggests that such science learning can be supported by encouraging learners to make use of given benchmark information, however there are several other numerical estimation skills that may…
Descriptors: Climate, Computation, College Students, Hispanic American Students
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