The Use of Mixed Methods in Measuring the Impact of Technology-Assisted Language Learning (TALL)

Аннотация

This article explores the use of mixed methods research to study how Technology-Assisted Language Learning (TALL) affects language acquisition. By combining both quantitative and qualitative approaches, the research captures a complete picture of how digital tools support vocabulary growth, grammar improvement, learner motivation, and autonomy. The findings show that TALL has the potential to significantly enhance the language learning experience when designed and used effectively. Keywords: TALL, mixed methods, language acquisition, digital tools, learner motivation, educational technology, learning apps. Introduction: With the fast development of digital tools While these tools are widely used, it's important to and online platforms, the way people learn languages understand how well they work. This is where research has changed dramatically. In the 21st century, students plays a key role. However, studying the effectiveness of are no longer limited to classroom learning. We can see TALL tools is not simple. Traditional research that only them using the applications of electronic learning tools, uses numbers (quantitative) may not capture the full including notebooks personal computers (PC), tablets experience of learners. To solve this, researchers use a pc, desktop computers, and smartphones, has mixed methods approach. This combines statistical significantly improved, emerging the concept referred data with interviews, observations, and open-ended to as “Technology Assisted Language” (TALL) [1]. TALL responses, providing a more detailed and realistic view is gaining ground as it is perceived that the approach of of how learners interact with technology. various technology-assisted language learning such as Benefits of Technology-Assisted Language Learning mobile devices or computers has opened the (TALL) opportunity for efficient language learning [2]. The TALL tools offer numerous benefits that can enhance TALL concept in the scope of those studies leverages the learning experience for students of all ages and both computer-assisted language learning (CALL) and levels. Here are some key advantages: mobile assisted language learning (MALL). CALL is a means of the learning process whereby the learner 1. Flexibility and Accessibility employs a computer to prepare and enhance their TALL tools allow students to learn anytime and language learning abilities (such as writing, speaking, anywhere. This is especially useful for busy learners reading, and listening skills). Numerous merits of who cannot always attend face-to-face classes. With a computer-assisted learning abound, such as the mobile device and internet connection, they can learn availability of authentic materials, experimental on the go—during a bus ride, lunch break, or at home. learning opportunities, high motivation, improved 2. Personalized Learning interaction opportunities, and global understanding Many apps and online platforms use Artificial [3]. On the other hand, MALL refers to any learning Intelligence (AI) to adapt to a learner’s level. This facilitated on a mobile device such as an mp3 player. means students can work on tasks that match their Tablets, eBook readers, and podcasting [4] abilities. The lessons are neither too easy nor too hard. American Journal Of Philological Sciences 24 https://theusajournals.com/index.php/ajps American Journal Of Philological Sciences (ISSN – 2771-2273) This helps learners stay motivated and keeps them in Additionally, digital learning tools make it easier to the "optimal learning zone." provide personalized experiences. For example, apps can adapt to a learner’s current level and provide 3. Immediate Feedback challenges that are neither too easy nor too hard. This Instant feedback is one of the biggest strengths of TALL. kind of tailored learning environment keeps students in When learners make mistakes, they get corrections what is called an “optimal learning zone,” where they right away. This helps them understand their errors and are more likely to succeed and stay interested [8]. avoid repeating them. It also makes the learning process more efficient. The use of mixed methods in TALL research enables 4. Gamification and Motivation triangulation of data, increasing the validity and Most apps include elements of gamification such as richness of findings [9]. Quantitative data can points, levels, leaderboards, and streaks. These demonstrate measurable progress in specific linguistic features make learning fun and competitive. As a domains, while qualitative data reveal the cognitive result, students often feel more motivated to complete and emotional dimensions of learner experience. For lessons, maintain streaks, and beat their own scores. instance, learners may improve test scores while 5. Development of Learner Autonomy simultaneously experiencing anxiety or frustration due TALL encourages students to take charge of their own to the repetitive nature of app content—a nuance that learning. They