Design and Evaluation of a Context-Aware Language Learning App for Adults

Thesis Abstract

The proliferation of mobile technologies and the increasing demand for flexible, personalized language learning solutions necessitate innovative approaches that address the contextual needs of adult learners. Current language learning applications often lack adaptive features tailored to individual learners’ environments, routines, and real-life language use contexts, impairing engagement and efficacy. This study aims to design, implement, and evaluate a novel context-aware language learning application specifically aimed at adult learners seeking to improve their proficiency through personalized, environment-sensitive content and activities. The primary objectives include identifying key contextual factors influencing adult language acquisition, developing a user-centered app integrating context-awareness features, and empirically assessing its effectiveness compared to traditional non-adaptive language learning tools. The research adopts a mixed-methods, quasi-experimental design, integrating both qualitative and quantitative approaches to provide a comprehensive evaluation of the app’s design and pedagogical impact. The study population comprises adult learners aged 25-45 enrolled in language courses in university language centers and community adult education programs. A total sample of 120 participants was selected using stratified random sampling to ensure representativeness across varying proficiency levels and demographic backgrounds. The intervention group (n=60) used the developed context-aware app over a twelve-week period, while the control group (n=60) employed conventional language learning software lacking contextual adaptation. Data collection instruments include a structured questionnaire on language learning motivation and perceived usability, pre- and post-tests on language proficiency based on the Common European Framework of Reference for Languages (CEFR), and semi-structured interviews exploring user experiences. The app’s usability and contextual relevance were assessed through system logs and analytics data. Validity and reliability of the instruments were established through pilot testing, Cronbach's alpha (?=0.87), and content validation by language education experts. Quantitative data were analyzed using paired and independent samples t-tests, ANCOVA, and multiple regression analysis to examine differences in proficiency gains, while thematic analysis was applied to qualitative interview data, following Braun and Clarke’s six-phase framework. Expected findings suggest that the context-aware app significantly enhances language acquisition outcomes among adult learners, evidenced by higher proficiency gains (mean increase of 1.2 CEFR levels, p<0.01) and increased user engagement and motivation compared to the control group. The app’s contextual features—such as location-based vocabulary exercises, time-sensitive prompts, and real-world scenario simulations—are hypothesized to promote more meaningful and sustainable learning experiences. Evidence from usability logs is anticipated to indicate higher system interaction frequencies and longer engagement durations among participants using the adaptive app. This research contributes novel insights into the application of context-aware technology within adult language education, filling a gap identified in the existing literature by integrating theories of socio-cultural learning (Vygotsky) and mobile learning (Kukulska-Hulme). The development framework and evaluation results provide a robust foundation for future innovations in personalized language learning environments. The study concludes with recommendations for integrating context-aware features into mainstream language learning applications, emphasizing the importance of adaptive pedagogical strategies aligned with adult learners’ daily routines. Limitations related to technology accessibility and varying proficiency levels are acknowledged, with suggestions for extending research to include longitudinal studies and diverse linguistic contexts. The findings aim to inform educators, app developers, and policymakers to foster more effective, engaging, and contextually relevant language learning experiences for adults at varying proficiency stages.