In view of the disadvantages of traditional English pronunciation correction systems, such as failure to timely feedback and correct learners’ pronunciation errors, slow improvement of learners’ English proficiency, and even misleading learners, it is imperative to design a scientific and efficient automatic correction system for English pronunciation errors. Each method is mentioned and described, along with the supporting examples found in national and international journal articles from 2011-2021.įor correction system of English pronunciation errors, the level of correction performance and the reliability, practicability, and adaptability of information feedback are the main basis for evaluating its excellent comprehensive performance.

Results showed that popular research methods used in teaching and learning English pronunciation using social media and other technological tools studies are descriptive qualitative, quasi-qualitative, grounded theory, content analysis, quasi-experimental research, descriptive quantitative, classroom action research, and mixed-method. The studies are taken as the corpus of the study using descriptive analysis to identify varieties of research methods also ways in achieving the operational research objectives. The elaboration is formulated from the research methods used by journal article writers, national journals also international journals.

This paper will elaborate on research methods used in teaching and learning English pronunciation using social media and other related technological tools. Thus, readers can learn the research methods from the models found in journal articles. One lesson is the way the writers conducted their research. Therefore, readers can get much important information and benefit from them. Indeed, it can motivate the students to engage in learning to pronounce.Īrticles published in international and national accredited journals have rich potentials for learning sources and gaining ideas since reviewers and editors have given valuable input and have scholarly processed them well. In conclusion, ELSA Speak can improve the students' pronunciation skills well and effectively. Also, the available features offered by this app like instant feedback enabled the students to pronounce precisely. Clearly, ELSA Speak helped the students pronounce diverse words more easily and comprehensively. It can be seen from the average scores obtained from the teaching cycles from two to four in grade. The results showed that ELSA Speak can increase the students' pronunciation skills. The researcher also taught in the classroom. The data were collected using a test of pronunciation and interview. This study aimed to carry out English Language Speech Assistant (ELSA) Speak App to improve English language pronunciation skills to higher education learners that were the English Department Students of Nahdlatul Ulama University of Yogyakarta (UNU). It studied how students heard, voiced, uttered, vocalized, and asserted the English words in the oral language, but the students often pronounced incorrect words with the result that the uttered words had faulty meaning. Again, it had beneficial roles for supplementing language teaching like ELSA Speak App one of Automatic Speech Recognition (ASR) used for teaching pronunciation. Nowadays, artificial intelligence (AI) became a special concern in language teaching for the reason that it can assist and enhance language learning for all levels of education.

Elsa speak spanish app