Remarks on Digital Language Learning: Insights from Behavior, Cognition and the Brain

2022 ◽  
pp. 1-2
Author(s):  
Jonathan Michael Spector
Keyword(s):  
Language Learning ◽  
Digital Language ◽  
The Brain

Language Learning and the Brain: A Comprehensive Survey of Recent Conclusions

1988 ◽  
Vol 38 (2) ◽  
pp. 261-278 ◽  
Author(s):  
Paul E. Munsell ◽  
Margarida Gandara Rauen ◽  
Mamoru Kinjo
Keyword(s):  
Language Learning ◽  
Comprehensive Survey ◽  
The Brain

scholarly journals What is the effect of body’s chemical messengers in the brain?

2019 ◽  
Vol 8 (3) ◽  
pp. 613-618
Keyword(s):  
Language Learning ◽  
Brain Function ◽  
Physicochemical Parameters ◽  
Active Sites ◽  
Geometry Optimization ◽  
Normal Brain ◽  
Delivery Technique ◽  
Normal Brain Function ◽  
Practical Model ◽  
The Brain

Neurochemical transmitters in the brain are fundamental to normal brain function and this investigation aims to introduce a study on the center of neuroscientific through an account of language development which conducts human speech mechanism using theoretical methods. In the process of this work, new understanding has been gained from the neurochemistry of several important neurotransmitters of dopamine (DA), epinephrine (EN), norepinephrine (NE), histamine (HA) and serotonin (ST) in brain by Monte Carlo simulation (MC) which uses the increased temperature to the potential energy of the neurochemicals in the brain considering the geometry optimization of the compounds as an additional conformational level. Moreover, the results of optimized DA, EN, NE, HA, ST neurochemical transmitters by running the physicochemical parameters as a practical model using Gaussian 09 program package can approve the twisting of language-brain due to these structures using density electron deliverers. The most stable of these compounds through the active sites of nitrogen and oxygen atoms has illustrated the best optimized position for localizing the structure through delivery technique in the brain to activate the center of learning a language as a simulated model. So, the best results with the calculated amounts conduct us to analyze the perspective of language learning process and enhancing this ability.

scholarly journals Gaming enhances learning-induced plastic changes in the brain

2020 ◽  
Author(s):  
Katja Junttila ◽  
Anna-Riikka Smolander ◽  
Reima Karhila ◽  
Anastasia Giannakopoulou ◽  
Maria Uther ◽  
...  
Keyword(s):  
Language Learning ◽  
Event Related Potentials ◽  
Speech Sounds ◽  
Digital Game ◽  
Game Based Learning ◽  
Brain Response ◽  
Related Potentials ◽  
Plastic Changes ◽  
Game Condition ◽  
The Brain

Learning is increasingly assisted by technology. Digital games may be useful for learning, especially in children. However, more research is needed to understand the factors that induce gaming benefits to cognition. In this study, we investigated the effectiveness of digital game-based learning approach in children by comparing the learning of foreign speech sounds and words in a digital game or a non-game digital application with equal amount of exposure and practice. To evaluate gaming-induced plastic changes in the brain function, we used the mismatch negativity (MMN) brain response that reflects the activation of long-term memory representations for speech sounds and words. We recorded auditory event-related potentials (ERPs) from 37 school-aged Finnish-speaking children before and after playing the “Say it again, kid!” (SIAK) language-learning game where they explored game boards, produced English words aloud, and got stars as feedback from an automatic speech recognizer to proceed in the game. The learning of foreign speech sounds and words was compared in two conditions embedded in the game: a game condition and a non-game condition with the same speech production task but lacking visual game elements and feedback. The MMN amplitude increased between the pre-measurement and the post-measurement for the word trained with the game but not for the word trained with the non-game condition, suggesting that the gaming intervention enhanced learning more than the non-game intervention. The results indicate that digital game-based learning can be beneficial for children’s language learning and that gaming elements per se, not just practise time, support learning.

scholarly journals Speech perception at birth: The brain encodes fast and slow temporal information

2020 ◽  
Vol 6 (30) ◽  
pp. eaba7830
Author(s):  
Laurianne Cabrera ◽  
Judit Gervain
Keyword(s):  
Infrared Spectroscopy ◽  
Speech Perception ◽  
Human Brain ◽  
Language Learning ◽  
Auditory Processing ◽  
Near Infrared ◽  
Acoustic Cues ◽  
Language Experience ◽  
Brain Responses ◽  
The Brain

Speech perception is constrained by auditory processing. Although at birth infants have an immature auditory system and limited language experience, they show remarkable speech perception skills. To assess neonates’ ability to process the complex acoustic cues of speech, we combined near-infrared spectroscopy (NIRS) and electroencephalography (EEG) to measure brain responses to syllables differing in consonants. The syllables were presented in three conditions preserving (i) original temporal modulations of speech [both amplitude modulation (AM) and frequency modulation (FM)], (ii) both fast and slow AM, but not FM, or (iii) only the slowest AM (<8 Hz). EEG responses indicate that neonates can encode consonants in all conditions, even without the fast temporal modulations, similarly to adults. Yet, the fast and slow AM activate different neural areas, as shown by NIRS. Thus, the immature human brain is already able to decompose the acoustic components of speech, laying the foundations of language learning.

scholarly journals Second Language Acquisition Through Neurolinguistic Programming: A Psychoanalytic Approach

2018 ◽  
Vol 7 (4.36) ◽  
pp. 624
Author(s):  
A. Delbio ◽  
M. Ilankumaran
Keyword(s):  
Second Language Acquisition ◽  
Language Learning ◽  
English Learners ◽  
English Language ◽  
Native Speaker ◽  
Technical Information ◽  
Target Language ◽  
Main Role ◽  
Learning And Teaching ◽  
The Brain

English is the only lingua-franca for the whole world in present age of globalization and liberalization. English language is considered as an important tool to acquire a new and technical information and knowledge. In this situation English learners and teachers face a lot of problems psychologically. Neuro linguistic studies the brain mechanism and the performance of the brain in linguistic competences. The brain plays a main role in controlling motor and sensory activities and in the process of thinking. Studies regarding development of brain bring some substantiation for psychological and anatomical way of language development. Neuro-Linguistic Programming (NLP) deals with psychological and neurological factors. It also deals with the mode of brain working and the way to train the brain to achieve the purpose. Many techniques are used in the NLP. It improves the fluency and accuracy in target language. It improves non-native speaker to improve the LSRW skills.  This paper brings out the importance of the NLP in language learning and teaching. It also discusses the merits and demerits of the NLP in learning. It also gives the solution to overcome the problems and self-correction is motivated through neuro-linguistic programming.   

scholarly journals Knowledge Tracing Using the Brain

2018 ◽  
Author(s):  
David Halpern ◽  
Shannon Tubridy ◽  
Hong Yu Wang ◽  
Camille Gasser ◽  
Pamela Joy Osborn Popp ◽  
...  
Keyword(s):  
Language Learning ◽  
Second Language Learning ◽  
Memory Performance ◽  
Learning Session ◽  
Knowledge States ◽  
Knowledge Tracing ◽  
Successful Approach ◽  
Memory Acquisition ◽  
Using Data ◽  
The Brain

Knowledge tracing is a popular and successful approach to modeling student learning. In this paper, we investigate whether the addition of neuroimaging observations to a knowledge tracing model enables accurate prediction of memory performance in held-out data. We propose a Hidden Markov Model of memory acquisition related to Bayesian Knowledge Tracing and show how continuous functional magnetic resonance imaging (fMRI) signals can be incorporated as observations related to latent knowledge states. We then show, using data collected from a simple second-language learning experiment, that fMRI data acquired during a learning session can be used to improve predictions about student memory at test. The fitted models can also potentially give new insight into the neural mechanisms that contribute to learning and memory.

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