Learning Language in the AI Digital Era


Learning Language in the AI Digital Era

(Translated from Chinese ])

In the age of AI, how can we better adapt language learning to the demands of AI? The development of AI, especially the advancement of generative AI models, bring challenges to language learning. In the past, when acquiring information was time-consuming, traditional language learning methods helped children memorize knowledge. However, in an era where information is readily available, language learning should evolve accordingly. 

Shifting from Memorization to Application

Language and words make sense when we understand the concepts behind them. Merely memorizing characters or words, recognizing their visual forms, is of limited value. It is also challenging to establish a mature linguistic network in our minds through memorization alone, making it easy to forget. Here's an example of understanding and applying words: a child knows Chinese term "沐浴液" (body wash). When he sees a plastic bottle in Japan labeled "全身用洗浄剤" (all-body cleanser), they immediately understand it is "沐浴液". Many applications require a deep understanding of the meaning behind vocabulary words. For instance, two children walking down the street, one intently looking at the ground as if searching for something, says, "Yesterday, I found a game console here. Let's see if there's another one today." The other child responds, "你在守株待兔啊 (You're waiting for hares at the stump.)" This child has understand the Chinese idiom. 

Whether facing AI challenges or not, language learning should primarily emphasizes application (unless learner's purpose is to research on language itself). As the saying goes, "练十年拳不如打一年架(A year of fighting is more beneficial than a decade of body exercise.)" Flighting (between trainers) can be an effective and enjoyable way to master martial arts. In the digital and AI era, applied language learning is especially crucial, as memorization-based learning can no longer keep up with the explosion of knowledge.

Understanding the Deeper Meaning of Language, Beyond Literal Interpretation

The meaning behind language encompasses cultural, interpersonal, and inter-machine nuances. Imagine a family having dinner in their courtyard, noticing a full moon. The father remarks, "The moon is so round tonight." The child quickly responds, "Our family is also reunited, and the flowers in our yard are in full bloom." This child understands the cultural connotations of the term "full moon." As children grow into adults, their understanding of culture becomes increasingly important, especially in various work and interpersonal communication contexts. Traditional methods of learning language, such as memorizing characters and constructing sentences, have limitations. These limitations persist but become more apparent in the digital age when children have access to more captivating sources of information. Such methods can easily diminish a child's interest in learning a language.

Cultivating Interest in Language and Culture: Building the Foundation for Lifelong Learning

In the age of artificial intelligence, lifelong learning is not merely a choice; it is a necessity. Knowledge and skills in this era are constantly evolving, with previously acquired knowledge becoming obsolete in just a few years. Therefore, continuous learning and adapting to new challenges are key to success. Lifelong learning is not just a response to technological changes; it is an expression of intrinsic motivation. Curiosity and interest are powerful drivers that compel individuals to pursue lifelong learning. A child's interest in language, cultural exposure through language learning, and the fascination with stories in picture books or children's literature are the best sources of inner motivation for language, culture, and global awareness. 

In the AI era, nurturing children's interest in language and culture and encouraging them to read picture books and children's literature effectively lays a solid foundation for their lifelong learning journey.

Creating Comprehensive Learning Environments through Humanities

In today's technological landscape, creating a humanistic learning environment is particularly vital. Such an environment is imbued with human care, emotional comfort, and intuitive interpersonal communication. Teachers can convey the subtleties and depths of language expression more accurately and profoundly through caring and emotionally rich interactions with children. Additionally, fostering an atmosphere of language exchange among children is essential. During teacher-organized activities, children naturally engage in language input and output tasks to complete various tasks. These interactions expose them to language and its use. Interactions between children often stimulate their cognitive abilities, making it the most efficient process for them to establish language models in their minds. In a favorable humanistic learning environment, children can quickly acquire labels, learn, receive immediate feedback, and engage in the entire learning process, similar to the training of deep learning neural networks.

Conclusion

In conclusion, as we navigate the AI era, it is imperative to adapt language learning to the evolving digital landscape. Shifting the focus from memorization to application, understanding the deeper cultural meanings of language, and cultivating a lifelong interest in language and culture are essential strategies. Furthermore, creating humanistic learning environments fosters comprehensive language acquisition. By embracing these principles, we can equip learners with the skills and motivation needed to succeed in the AI-driven world.