Miroslaw Pawlak – författare

This book contributes to overcoming the deficit in research on emotions in foreign language learning in the domain of computer-assisted language learning (CALL) in both traditional and virtual settings.

The authors divide emotions into positive (i.e., enjoyment and curiosity) and negative (i.e., boredom and language anxiety) and explore their role in L2 teaching and learning in CALL environments from theoretical, empirical and pedagogical perspectives. The book begins with a theoretical overview of selected issues concerning positive and negative emotions and surveys the studies that have dealt with this issue in L2 learning in conventional settings and CALL. The empirical part of the book is devoted to a research project which explores the experience of positive and negative emotions in learning English in the virtual world Second Life, the relationships of the emotions in question and factors influencing them. The book concludes by recommending a selection of practices which can help maximize the positive emotions and minimize the negative emotions in foreign language learning in CALL environments.

This is an important and illuminating read for students and scholars of applied linguistics, second language education and educational technology who are interested in CALL and in incorporating VW/VR-based language learning programs into their studies and teaching.

This book contributes to overcoming the deficit in research on emotions in foreign language learning in the domain of computer-assisted language learning (CALL) in both traditional and virtual settings.

The authors divide emotions into positive (i.e., enjoyment and curiosity) and negative (i.e., boredom and language anxiety) and explore their role in L2 teaching and learning in CALL environments from theoretical, empirical and pedagogical perspectives. The book begins with a theoretical overview of selected issues concerning positive and negative emotions and surveys the studies that have dealt with this issue in L2 learning in conventional settings and CALL. The empirical part of the book is devoted to a research project which explores the experience of positive and negative emotions in learning English in the virtual world Second Life, the relationships of the emotions in question and factors influencing them. The book concludes by recommending a selection of practices which can help maximize the positive emotions and minimize the negative emotions in foreign language learning in CALL environments.

This is an important and illuminating read for students and scholars of applied linguistics, second language education and educational technology who are interested in CALL and in incorporating VW/VR-based language learning programs into their studies and teaching.

This book syntheses cutting-edge research on the role of individual differences (IDs) in the field of SLA and in computer assisted language learning. It also outlines the theoretical and methodological issues at the heart of this research, presents empirical findings and charts future directions of this research.

Pawlak and Kruk provide an overview of the latest theoretical developments in research on IDs in SLA as well as methodological considerations that are crucial when researching individual variation, with special emphasis on data-collection procedures that are most prominent in CALL. The book goes on to summarize and explore a body of empirical evidence concerning the role of individual difference factors in CALL, singling out existing gaps, methodological problems, and areas in need of further investigation. Finally, the authors provide a guide on how empirical investigations of individual difference factors in CALL can be improved by incorporating latest developments from the broader field of SLA.

This book will be of great interest to postgraduates and scholars in the domain of applied linguistics and second language education who are interested in CALL, as well as those studying and undertaking research in second language learning and teaching.

This book syntheses cutting-edge research on the role of individual differences (IDs) in the field of SLA and in computer assisted language learning. It also outlines the theoretical and methodological issues at the heart of this research, presents empirical findings and charts future directions of this research.

Pawlak and Kruk provide an overview of the latest theoretical developments in research on IDs in SLA as well as methodological considerations that are crucial when researching individual variation, with special emphasis on data-collection procedures that are most prominent in CALL. The book goes on to summarize and explore a body of empirical evidence concerning the role of individual difference factors in CALL, singling out existing gaps, methodological problems, and areas in need of further investigation. Finally, the authors provide a guide on how empirical investigations of individual difference factors in CALL can be improved by incorporating latest developments from the broader field of SLA.

This book will be of great interest to postgraduates and scholars in the domain of applied linguistics and second language education who are interested in CALL, as well as those studying and undertaking research in second language learning and teaching.

This book investigates innovative approaches to teaching and learning second language (L2) grammar by combining strategy-based instruction (SBI) supported by advanced computer-assisted language learning (CALL) tools, including artificial intelligence (AI). Through a blend of theoretical insights, empirical research, and practical recommendations, it examines how these approaches enhance grammar learning strategies (GLS), promote learner autonomy, and improve the mastery of grammar in digital contexts.

The book is anchored in a study conducted with Polish university students that assessed the impact of SBI on explicit and implicit (automatized) knowledge of the English passive voice, GLS use, and learner response to the intervention aided by CALL tools. The findings highlight significant gains in GLS use, autonomy, and implicit (automatized) grammar knowledge, underscoring the role of CALL environments in fostering effective and engaging grammar learning experiences.

Designed for educators, researchers, and students, this volume combines cutting-edge pedagogical methods with actionable insights. It emphasizes the importance of autonomy in grammar learning and showcases how technology can enrich this process. By bridging theory and practice, this book provides a roadmap for implementing innovative grammar instruction and opens new avenues for research in technology-enhanced language education.

This book investigates innovative approaches to teaching and learning second language (L2) grammar by combining strategy-based instruction (SBI) supported by advanced computer-assisted language learning (CALL) tools, including artificial intelligence (AI). Through a blend of theoretical insights, empirical research, and practical recommendations, it examines how these approaches enhance grammar learning strategies (GLS), promote learner autonomy, and improve the mastery of grammar in digital contexts.

The book is anchored in a study conducted with Polish university students that assessed the impact of SBI on explicit and implicit (automatized) knowledge of the English passive voice, GLS use, and learner response to the intervention aided by CALL tools. The findings highlight significant gains in GLS use, autonomy, and implicit (automatized) grammar knowledge, underscoring the role of CALL environments in fostering effective and engaging grammar learning experiences.

Designed for educators, researchers, and students, this volume combines cutting-edge pedagogical methods with actionable insights. It emphasizes the importance of autonomy in grammar learning and showcases how technology can enrich this process. By bridging theory and practice, this book provides a roadmap for implementing innovative grammar instruction and opens new avenues for research in technology-enhanced language education.