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Learn English the spoken way with AI

Aisla is a BMBF (German Ministry of Education) funded project aiming at building an intelligent agent for assisting spoken English training. Its design is informed by the latest research on task-based language teaching, AI conversation systems, and natural language processing.

The Aisla App

An intelligent language tutor and practice partner.


TBLT Informed

The Aisla system’s design conforms with the latest findings from Task-Based Language Teaching (TBLT) and Second Language Acquisition (SLA) research, ensuring the effectiveness of the system to promote spoken English abilities.

Powered by AI & NLP

State-of-the-art AI and Natural Language Processing (NLP) technologies guarantee the authenticity of the learning tasks, not only providing learners with opportunities to practice spoken English with a competent interlocutor under different communication tasks, but also to receive feedback for their language and performance.

Real-life Contexts

Real-life scenarios (e.g., restaurant, airport, meeting, university lecture, etc.) are simulated for learners to practice real-life communication tasks (e.g., booking a table, checking in a flight, etc.) with a dynamic agent playing the role of different conversation partners. Demonstration of the tasks and the key language to be used are provided as guidance.

Realistic Conversation Partner

Aisla does not only support pure verbal interaction with text and voice, but also provides embodied realistic virtual human agents powered by the latest deep learning technologies to create a face-to-face communication experience. Non-verbal cues such as facial expressions and body gestures have been found to facilitate communication and promote learning.

Automatic Feedback

Automatic feedback, powered by advanced language models, is a crucial asset for language learners. While practicing real-life scenarios, students receive instant, tailored feedback on their language usage and grammar errors. Automatic feedback thus may accelerate learning, helping students gain confidence and proficiency in their target language.

Low-cost Solution

Competent interlocutors are native speakers or experienced language teachers that offer authentic opportunities for learners to practice using the target language. Obviously, it is unrealistic to offer every English learner a competent interlocutor. The Aisla system potentially offers a cost-effective solution to the needs for each individual learner.

The Team

Prof. Dr. Xiaobin Chen

Principal Investigator
ICALL & AIED Researcher

Dr. Björn Rudzewitz

Development project manager
Senior software developer

Elizabeth Bear

Research Manager
ICALL Researcher

Luisa Ribeiro-Flucht

System developer
NLP & ICALL Researcher

Daniela Verratti Souto

Student assistant
System developer

Megan Horikawa

Student assistant
Content developer

Sofia Kathmann

Student assistant
System Developer

Prof. Dr. Detmar Meurers

NLP & SLA expert

Prof. Dr. Marije Michel

Expert Consultant
SLA & TBLT expert, Groningen University


Email us:
Hector-Institut für Empirische Bildungsforschung
Eberhard Karls Universität Tübingen
Walter-Simon-Strasse 12 · 72072 Tübingen,Germany