Intelligent Tutoring Systems for French Language Learning in Police Training: A Big Data-Driven AI Approach

Communication challenges are frequently encountered by police due to need to interact with French-speaking communities. Law enforcement duties often occur at a fast pace and do not fall under typical language acquisition programs. The proposed research aims to provide law enforcement agencies, through the development of an Intelligent Tutoring System (ITS) based on Big Data, a means for French language acquisition for police-related uses. The ITS will consist of real-time interactive language learning tasks, proficiency assessments and simulated feedback based on the learner's performance, to develop an adaptive and goal-based learning program. Enhanced pre-processing techniques, including cleaning, tokenization or lemmatization, will ensure that any data entered into the ITS is of high quality. The ITS will include a Light Gradient Boosting Machine (LightGBM) that utilizes the predicted performance of learners and categorizes language-learning errors. The ITS will also include a Deep Q-Network (DQN) to automatically change the content of language lessons based on learners' engagement and progress. This represents a new ITS design model for the police training environment that integrates language with operational needs, a consideration that has thus far not been addressed in existing models. Assessment data of the ITS indicate substantial improvements in learner attention, rate of error correction and speed of learning. This research offers insight into the establishment of infrastructure as well as the implementation of strategies surrounding real-time, adaptively learned systems in the high-stakes context. In addition, it presents an opportunity through a modular design for police and multilingual communities to better communicate with one another, thereby enhancing the exchange of trust and increased citizen participation, through training opportunities for law enforcement personnel, in a manner that allows them to become better prepared for a more positive outcome.