Data-driven learning uncontroversially plays a role in human language acquisition--how large a role is a matter of much debate. The success of artificial neural networks in NLP in recent years calls for a re-evaluation of our understanding of the possibilities for learning grammar from data alone. This dissertation argues the case for using…

Students' learning environments often change during school career, due to school transitions and the introduction of educational innovations, causing discontinuity in teaching and learning. Success of students entering a new learning environment depends in part on their prior expectations of education, as these influence later perceptions.…

This study examines high school students' beliefs about studying English, particularly their perceptions of language intelligence, aptitude, and age sensitivity in language learning. A total of 87 Year 12 students from a boys' school in Northeastern Thailand voluntarily participated in a pre-and post-intervention online language mindset…

The present study scrutinized Iranian EFL learners' mode of learning (distance vs. conventional) as a probable source of bias in employing cognitive and metacognitive reading comprehension strategies. To this end, a total of 514 Iranian distance and conventional EFL learners were asked to take a 30-item multiple-choice reading comprehension test…

This book takes a look at the affordances of engaging second/foreign language students in educational projects that bridge the gap between the classroom and the museum. Studies on language learning and teaching beyond the classroom have shown that students learn in different settings and through different types of activities and that their…

This study aims to compare the effects of "questioning with minimal evaluation" (PE) and "prompt-evaluate-expand-repeat" (PEER) used in dialogic reading (DR) on children's language development. This study included 119 typically developing (TD) and 107 Chinese children with autism spectrum disorder (ASD) by using a pre- and…

This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…

Many studies have examined the factors that influence second language interaction, such as task type and communication mode, i.e., face-to-face and computer-mediated communication through online mode. However, there is a paucity of research that has investigated the effects of task type on negotiation of meaning (NoM), a specific type of…

In response to the significant disruption posed by emergent AI technology, we propose a four part framework for teaching and learning practice and development. Rather than focus on the specific technologies of the moment, this framework provides actionable suggestions for individuals with varying views of AI and its positive and negative…

The transformative impact of generative artificial intelligence (GenAI) on educational environments has led higher education institutions to make radical changes in their curricula and teaching approaches. By integrating GenAI technologies into the educational process, students will be able to have rich learning experiences. However, students'…

The present study investigates the use of generative strategies and their effect on second language (L2) vocabulary retention and learner confidence in vocabulary knowledge over time. Generative strategies (or generation) are one in a group of learning methods known as desirable difficulties -- strategies that improve long-term learning by adding…

Education 4.0 represents a visionary approach to the future of education, aiming to enhance teaching and learning through advanced technologies. The aim of this research is to determine student attitudes toward the use of Education 4.0 tools in the 7th-grade Science course Electrical Circuits unit. To achieve this, an attitude test was developed…

To address the emerging trend of language learning with Artificial Intelligence (AI), this study explored junior and senior high school students' behavioral intentions to use AI in second language (L2) learning, and the roles of related technological, social, and motivational factors. An eight-factor survey was constructed using a 5-point Likert…

Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…

In recent years, there has been a growing shift in education towards learning that extends beyond traditional classroom settings. With the rise of digital technologies and the prevalence of self-directed learning environments, teachers are increasingly interested in how students take control of their learning. As traditional classroom structures…