AI for speaking skills assessment in foreign language acquisition

The present study investigates the benefits and flaws of speaking and pronunciation assessment in foreign language acquisition by both AI -driven technologies and their competitive counterparts, human experts.The experiment design rests on the comparison and efficacy analysis of the two opposing means of speaking assessment: those by AI tools and the more traditional human expertise.The conclusions drawn are meant to fill in the gap of AI platforms development best suited in their accuracy to fit into traditional learning based on immersion and simulations as prerequisites of AI tools integration with conventional educational methods.As a result, the theory of human-computer interaction is supplemented with new ideas of ecological approach for further improvement of the forthcoming AI advances in the present-day integration of digital and human methods of enhancing the prospects of foreign language speaking proficiency on the background of innovative findings in the domain of ecolinguistics.