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ERIC Number: EJ1213987
Record Type: Journal
Publication Date: 2019
Pages: 28
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0958-8221
EISSN: N/A
Toward a Neuroscience-Informed Evaluation of Language Technology
Bolgün, M. Ali; McCaw, Tatiana
Computer Assisted Language Learning, v32 n3 p294-321 2019
With the ever-increasing number of available language technology products, there is also a need to evaluate them objectively. Unsubstantiated beliefs about what language technology can and cannot do inside or outside the language classroom often influence decisions about the choice of language technology to be used. The declarative/procedural model, which makes a clear distinction between the declarative and procedural memory systems, can help to provide an objective, neuroscience-informed evaluation of language technology. The central argument in this paper is that language technology caters predominantly to the declarative memory system. This system is very effective in forming explicit metalinguistic knowledge but does not lead to automatic production or procedural ability. For technology to promote procedural ability, it should instead cater to the procedural memory, which involves the implicit neurofunctional computational system. This paper provides a language technology evaluation flowchart to help professionals evaluate the language technology products they will use and gauge their expectations of those products more realistically. It also provides a list of factors to be taken into account in maximizing the benefits of technology.
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A