Topic summary

Task-based language teaching

Task-based language teaching (TBLT), also known as task-based instruction (TBI), focuses on the use of authentic language to complete meaningful tasks in the target language. Such tasks can include visiting a doctor, conducting an interview, or calling customer service for help. Assessment is primarily based on task outcomes (the appropriate completion of real-world tasks) rather than on accuracy of prescribed language forms. This makes TBLT especially popular for developing target language fluency and student confidence. As such, TBLT can be considered a branch of communicative language teaching (CLT). In this approach, learners are assessed on their ability to complete the task successfully rather than on the accurate use of specific grammatical forms.

Task-based language learning has its origins in communicative language teaching, and is a subcategory of it. Educators adopted task-based language learning for a variety of reasons. Some moved to a task-based syllabus in an attempt to develop learner capacity to express meaning, while others wanted to make language in the classroom truly communicative, rather than the pseudo-communication that results from classroom activities with no direct connection to real-life situations. Others, like Prabhu in the , thought that tasks were a way of tapping into learners' natural mechanisms for second-language acquisition, and weren't concerned with real-life communication per se.

TBLT was popularized by while working in Bangalore, India, according to Jeremy Harmer. Prabhu noticed that his students could learn language just as easily with a non-linguistic problem as when they were concentrating on linguistic questions.Recent scholarship, particularly within the Brazilian context, has sought to merge Prabhu’s framework with critical pedagogy, proposing that tasks serve an "emancipatory" function by allowing students to resist the status quo. Major scholars who have done research in this area include Teresa P. Pica, Martin East, and Michael Long.