This study explores the impact of mobile learning applications on the vocabulary acquisition, motivation, and engagement of Iraqi ESP medical students. This study was conducted with 60 students from Meisan University, who were randomly divided into an experimental group using the Quizlet mobile application and a control group following traditional…

Motivation as one of the most important areas in language learning has been extensively investigated based on various models and theories. Recent motivational theories on L2 learning emphasized the importance of the possible 'selves' in motivating learners. This paper analyzes and compares the two constructs of Ought-to L2 self and Ideal L2 self…

The present study explored the probable interrelationships between willingness to communicate in a second language (L2 WTC), ideal L2 self, ought-to L2 self, L2 learning experience, imagery capacity, L2 motivation, L2 anxiety, vocabulary size, and course achievement through path analysis. This quantitative study was carried out with 701 English as…

Data-Driven Learning (DDL) is a method for learning languages that involves analyzing language usage trends and finding patterns in language data, utilizing technology and statistics. One of the key benefits of DDL is that it allows students to focus on the most relevant and useful language data for their needs. Data-driven learning is an…