NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 5 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Michael Agyemang Adarkwah – Adult Learning, 2025
Adult learners are a neglected species in the generative artificial intelligence (GenAI) era. The sweeping changes brought by GenAI in the educational arena have implications for adult learning. GenAI in education will usher in a world of adult learning that will be radically different from its predecessor. However, how adult learners will apply…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Adult Learning
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Shahid A. Choudhry; Timothy J. Muckle; Christopher J. Gill; Rajat Chadha; Magnus Urosev; Matt Ferris; John C. Preston – Practical Assessment, Research & Evaluation, 2024
The National Board of Certification and Recertification for Nurse Anesthetists (NBCRNA) conducted a one-year research study comparing performance on the traditional continued professional certification assessment, administered at a test center or online with remote proctoring, to a longitudinal assessment that required answering quarterly…
Descriptors: Nurses, Certification, Licensing Examinations (Professions), Computer Assisted Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Pérez-Paredes, Pascual; Ordoñana Guillamón, Carlos; Aguado Jiménez, Pilar – Computer Assisted Language Learning, 2018
Combined with the ubiquity and constant connectivity of mobile devices, and with innovative approaches such as Data-Driven Learning (DDL), Natural Language Processing Technologies (NLPTs) as Open Educational Resources (OERs) could become a powerful tool for language learning as they promote individual and personalized learning. Using a…
Descriptors: Language Teachers, Educational Resources, Telecommunications, Handheld Devices
Peer reviewed Peer reviewed
Direct linkDirect link
Hudson Kam, Carla L.; Newport, Elissa L. – Cognitive Psychology, 2009
When natural language input contains grammatical forms that are used probabilistically and inconsistently, learners will sometimes reproduce the inconsistencies; but sometimes they will instead regularize the use of these forms, introducing consistency in the language that was not present in the input. In this paper we ask what produces such…
Descriptors: Form Classes (Languages), Artificial Languages, Adult Learning, Linguistic Input
Peer reviewed Peer reviewed
Direct linkDirect link
Godwin-Jones, Robert – Language Learning & Technology, 2009
Using computers to help students practice and learn grammatical constructions goes back to the earliest days of computer-assisted language learning (CALL). With the coming of the Internet age, CALL began to focus more heavily on the new capabilities of group connectivity and computer-mediated communication. More recently, a gathering consensus has…
Descriptors: Computer Mediated Communication, Computer Assisted Instruction, Adult Learning, Educational Technology