The Science Behind Randomness in Language Learning
The traditional approach to language learning has always included drill, lists, grammar, and curricula. But as with most things, there is randomness in the journey of every successful language learner, and it is a tremendous force that often goes unnoticed. Randomness in language learning is just as scientific as the psycho-biology of memory consolidation, the psychology of attention and engagement. The knowledge of this science can revolutionize the way in which language teaching takes place.
A brain that loves surprises
A brain that loves surprises. The human brain is programmed to focus on unusual stimuli on the neurological level. This is based on a term called prediction error, which is fundamental to dopaminergic learning systems. The brain that are going to gives off dopamine, a chemical that is involved with motivation and reward when it sees something it doesn’t know, such as a word in an unusual context, a grammar construction the brain hasn’t encountered before, or a random switch between topics. The surge of dopamine in the brain acts like a red flag telling the brain that something is important and that memory will be strengthened.
The novel and surprising nature of one’s experiences proves powerful in the consolidation of memory, as repeated experience of novelty has been shown to improve retention repeatedly in the field of cognitive neuroscience. An unexpected stimulus is more powerful than a predictable one, a study published in the journal Neuron showed, illustrating how the hippocampus, the memory hub of the brain, is more strongly activated by surprise than by anticipations. To language learning, this is a more neurologically interesting way to learn a word than to learn it by reading it in a specific order and time.
Spaced Repetition: Controlled Randomness in Action
Spaced repetition is one of the well-supported language learning instruments in language learning, which may be said to be a scientifically programmed randomness. Unlike regular vocabulary reviews at regular intervals, spaced repetition systems (SRS) such as Anki present words at seemingly Random Sentence Generator intervals depending on the learner’s knowledge.
It is based on the ‘forgetting curve’ discovered by German psychologist Hermann Ebbinghaus in the 1880s. Ebbinghaus found that memory fades out of our minds exponentially with the passage of time, unless it is strengthened. The best time to refresh a memory is not when the learner needs it, but when the brain is on the verge of forgetting it — seemingly a random time to the learner, but perfectly timed by the algorithm.
The power in this randomness is that it requires the brain to seek out the answers that are not certain. When an unknown word is coming or the next card is going to be hard, the learner’s cognition is really high. Sometimes known as desirable difficulty, this is a phenomenon which came to be called by the cognitive psychologist, Robert Bjork, in which the difficulty of recalling information enhances the memory of the information itself.
Interleaving: The Power of Mixing it Up!
There are few principles which are interleaving is related to spaced repetition — interspersing topics, skills or categories of problems throughout a study session, instead of studying them all in a single block. In language learning, it could be a combination of grammar, listening comprehension, vocabulary, and speaking practice in the same session, instead of each in a separate session.
Although interleaved practice has the disadvantage of being less efficient at the time, it has been shown to be much better for retention over time in a study published in Psychological Science. Lets again relate to the need for the brain to actively distinguish between concepts. The learner is constantly having to determine what type of a issue that they are going to solving, as grammar rules and vocabulary items are randomly intermixed, thereby enriching understanding and reinforcing neural connections.
In language acquisition, in particular, interleaving models the real life experience of using language, where speakers of a language change between grammar, vocabulary and pronunciation, not in a predictable sequence.
The variability of input makes for robust input, as there are many factors that can cause variations
Stephen Krashen’s Input Hypothesis states that the best way for language learners to learn language is to receive input that is just a bit beyond their level of competence, or “i+1”. What Krashen failed to stress enough was the importance of the variability of that input.
Research in psycholinguistics has recently shown that a range of input, such as different speakers, different accents, different sentence structures, yields more powerful linguistic representations than does a highly consistent and uniform input. Students who hear one accent or one way of speaking may grasp the variety of the language perfectly but have problems with natural, imperfect, real world speech.
Authentic media such as podcasts, movies and conversations introduce randomness in the input, which compels the learner to develop flexible mental models of language, instead of narrow ones. True fluency involves the brain’s ability to learn to apply rules, not to recall specific examples.
In this presentation, I will discuss how noise can aid in the transmission of a signal – stochastic resonance
There’s an interesting physical phenomenon known as stochastic resonance, which involves random noise being applied to a weak signal, thereby making it easier for you to hear. This principle has been observed in physics and biology, and has been investigated with regard to human cognition.
A certain element of cognitive noise, as in language learning when words are introduced unexpectedly, sentences are not quite clear, things are not perfectly answerable, can enhance processing. We don’t every time having a perfectly formed, noise-free input, forcing students to think about what they’re hearing or seeing when it is not clear. That’s why the total immersion, though initially chaotic and overwhelming, is likely to yield extraordinary results over time.
Embracing Productive Confusion
One of the most counter-intuitive findings of the science of language learning randomness is that confusion – when managed well – is productive. A well-documented psychological phenomenon, the Generation Effect demonstrates that when students are expected to generate a word, answer, or other response, they will remember the information much better than if they simply read or heard it passively.
This is exploited by random quizzing, unexpected recall tests and unpredictable conversational encounters. They stimulate the brain to move beyond passive taking in and into constructive building—language use requires just that.
Conclusion
It is a scientific fact that randomness is not harmful to effective learning, but one of its most potent allies. Unpredictability, through such processes as prediction error, spaced repetition, interleaved practice, variable input, and stochastic resonance, promotes deeper encoding, greater retention, and more flexible language use. There are a highest successful language learners — whether they are know it or not — are those who embrace the beautiful, productive chaos of genuine language exposure. Rather than seeking a perfect order in their study routines, they are allowed for the randomness to do what the brain was always designed for: making meaning out of the unexpected.
