Search Results (387)

Considering the UN’s Sustainable Development Goals to foster quality education, curricula should encompass inclusive, equitable and contextually meaningful education. Since the textbook is the main support for EFL teaching in Chile, this study examines the alignment between 1st to 4th-grade English language textbooks and the unofficial Chilean English school curriculum. The research questions are as follows: (1) What content do the 1st to 4th-grade English language textbooks build? (2) To what extent does the content align with the unofficial curriculum for the first cycle of primary education? This is relevant since Chile has not improved proficiency in English despite substantial public investment in textbooks. To answer these questions, pedagogic discourse analysis was conducted, framed methodologically and analytically within the register model of Systemic Functional Linguistics, focusing on the field. The corpus comprises the textbooks and the vocabulary to certify young learners’ proficiency (pre-A1 and A1), as defined by the Common European Framework of Reference for Languages. The analysis reveals content building consistency across the textbooks and curriculum alignment, which ensures equitable access to quality learning opportunities. Full article

Speaking proficiency remains one of the most challenging skills for learners of English as a Foreign Language (EFL), particularly in contexts where sustained spoken interaction is limited. This systematic review synthesises 36 empirical studies (2015–2025) identified through a PRISMA-guided Scopus search to examine how artificial intelligence (AI)-mediated instruction supports EFL speaking development. The included studies were analysed according to AI modality, pedagogical integration, instructional input characteristics, and linguistic and affective outcomes. Findings indicate that AI tools—such as chatbots, automatic speech recognition systems, and large language models—consistently support affective outcomes, including reduced speaking anxiety and increased willingness to communicate. Improvements in fluency, pronunciation, and accuracy were frequently reported, particularly when AI tools were embedded within task-based and pedagogically structured instructional designs. However, evidence for sustained development of higher-order communicative competence was more variable. The review proposes a mediated input framework conceptualising AI as a design-sensitive instructional resource rather than an autonomous teaching agent. Full article

The pedagogical efficacy of artificial intelligence (AI) technologies in education heavily depends on cultural, technological, and cognitive contexts. Prior studies examined AI-driven learning outcomes without accounting for cultural variability or sufficiently anchoring their analyses in robust theoretical frameworks. The current study discusses the interconnection between AI technologies, learner competencies, and educational outcomes, in addition to the significance of digital and media literacy in secondary foreign language teaching. It employs Hofstede’s cultural dimensions theory, the technology acceptance model, and sociocultural learning theory to examine how AI technologies affect learning outcomes of English as a foreign language among Lebanese high school students. One hundred and eighty high school students in Mount Lebanon were given a 20-item survey using a quantitative research design. The results were analyzed using statistical tests and analyses in SPSS version 27.0.1. The findings indicate that AI technologies significantly enhance student learning outcomes: affective and motivational outcomes (45%), social and collaborative competencies (35%), and English language proficiency (accounting for 43% of variance). Furthermore, these relationships are strongly moderated by digital and media literacy, which increases the beneficial effects of AI on learning outcomes. The findings also show that students’ opinions, engagement, and acceptance of AI-supported language learning are influenced by cultural traits. Full article

The processes of teaching and learning are primarily humanistic. However, contemporary artificial intelligence (AI) technology has significantly changed these processes. The current qualitative study aimed to explore this phenomenon by investigating the role that chatbots can play as language tutors in improving ESL students’ writing. Specifically, the study investigated students’ perceptions and experiences to assess the influence of ChatGPT-generated written communication on ESL writing improvement. Data were collected through semi-structured interviews with undergraduates from the College of Languages and Translation at a public university in Riyadh, Saudi Arabia. The emerging themes revealed that students held positive perceptions of the chatbot as a tutor, highlighting that collaborative learning with the chatbot facilitated the acquisition of writing skills and increased engagement in the writing process. Findings also showed noticeable improvement in language development, at lexical, syntactic, semantic, and pragmatic levels, as well as in the use of cognitive and metacognitive writing strategies. The study recommends reevaluating traditional writing instruction methodologies and highlights the benefits of integrating AI chatbots into second-language writing pedagogy. Furthermore, the study emphasises students’ need for accessible English-language tutoring, such as chatbots, which provide immediate, real-time writing instruction. The study also addresses the implications of incorporating AI-powered chatbots into writing curricula at Saudi universities. Full article

This Systematic Quantitative Literature Review (SQLR) examines instructional content (the what) and instructional strategies (the how) that contribute to overall reading performance for students in mainstream English-speaking primary classes. Drawing on 163 peer-reviewed studies published over four and a half decades, the authors examine instructional content and strategies aligned with six interrelated foundational elements of reading development: phonological awareness, phonics, vocabulary, fluency, comprehension, and oral language. In response to the proliferation of reading research and the limitations of narrative reviews, the five iterative phases of the SQLR method enable rigorous selection, coding, and synthesis of studies reporting quantitative evidence of the contribution of instructional content and strategies to students’ overall reading performance. The second part of the paper focuses on phonics instruction, an element of the teaching of reading central to ongoing public, educational, and political debate. The authors identify significant variation in terms of the scale, duration, and year-levels of the reported research, and foreground the complex roles of teacher professional learning, teachers’ pedagogical decision-making, and implementation fidelity in shaping the research projects. The paper finishes by synthesizing evidence that concludes that while phonics instruction can contribute to overall reading performance, its effects are variable and contingent on specific instructional and contextual conditions. Full article

This article examines the impact of students’ prior experience with English on their academic success in a university English course. The study is based on a survey conducted among students majoring in Computer Science, Business Information Technology (BIT), and Software Technology and Design (STD) at the Faculty of Mathematics and Informatics (FMI), University of Plovdiv, at the beginning of their general English language course. We focus on students’ self-assessed language competence at the start of the course and examine how these self-assessments correspond to their actual test results. Using high-performance machine learning methods, we identify background factors that influence academic achievement, including the number of years spent learning English, the type of high school attended, and informal exposure to English. The findings aim to support more effective and tailored approaches to teaching English in technical and scientific disciplines. Full article

This article reports findings from a series of learning episodes in the form of case studies from inside English teaching classrooms that use music and literary extracts to make English Language and its possible applications and interpretations alive to students. Central to this exploration is the concept of artistry, characterised here as a nuanced practice involving four interrelated elements: the possession of an idea worth expressing, the imaginative ability to conceive its expression, the technical skill to work with materials, and the sensibilities required to make delicate, evocative adjustments. For the tens of thousands of young people in the Further Adult, Vocational and Education (FAVE) sector in England retaking GCSE English every year, artistry is an often neglected but vital concept that is routinely overshadowed by more pragmatic and reductive interpretations of the English Language curriculum. Low national achievement rates for re-sitting students do little to incentivize institutions and teachers in experimenting with their curriculum. Moreover, many re-sitting students become demotivated and disengaged due to numerous previously failed attempts to achieve a pass grade. This small-scale, qualitative research study explores and proposes new possibilities regarding how the FAVE GCSE English curriculum can be realised in engaging and meaningful ways. Concepts of artistry are put to work with students in the FAVE GCSE English classroom to bring to the fore how these ideas in the GCSE English Language curriculum might be brought to life in ways which develop understanding and foster interest in the study of English Language. Full article

The present study sought to examine teachers’ perceptions of professionalism in the context of English language teaching (ELT) in Oman, using a model of professionalism as a guiding framework. Adopting a qualitative research design, data were collected through semi-structured interviews with 10 teachers working in Cycle 2 (grades 5–10) and Post-Basic (grades 11–12) schools situated in two governorates in Oman. Inductive thematic analysis was conducted to identify the themes emerging in relation to the study’s objective. The findings showed that teachers’ perceptions of professionalism extend across three domains: the individual, the interpersonal, and the institutional/societal domains. Additionally, three intertwined primary themes were identified: teacher holistic mastery as an educator, teacher agency for change, and teacher empowerment. Specifically, teacher holistic mastery entails teacher pedagogical competence and effective professional relationships; teacher agency for change entails the improvement of one’s self and others; and teacher empowerment entails societal and institutional empowerment. In light of these findings, this study provides implications for practitioners, policymakers, and researchers. Full article

The accelerating digitalization of education has heightened the need for instructional approaches that are developmentally appropriate for young learners and capable of supporting both linguistic growth and creative speech production. This study investigates the pedagogical potential of integrating adapted English-language podcasts and media-based tasks into primary English instruction to foster originality, contextual coherence, expressive flexibility, and emotional richness in learners’ productive speech. The research employed a quasi-experimental pretest–posttest design implemented in intact classroom groups and involved 233 third- and fourth-grade students (experimental group, n = 116; control group, n = 117). Over one academic semester (January–May 2025), the experimental group participated in a structured programme embedded within regular lessons that combined short podcast episodes with dialogic and narrative tasks, while the control group followed the standard curriculum without podcast integration or comparable multimedia enrichment. Data analysis combined quantitative comparison of pre- and post-intervention speech outcomes with qualitative evaluation of learners’ oral and written products, supplemented by student and teacher feedback. The results showed statistically significant improvements in the experimental group across key indicators of creative speech performance. Qualitative evidence further indicated a shift toward more independent, personally meaningful language use, with learners demonstrating greater willingness to experiment with narrative transformation, evaluative retelling, and expressive variation. Taken together, the findings suggest that adapted podcasts, when systematically integrated into routine classroom practice, can serve as an effective and feasible tool for strengthening creative speech development in primary English language education and for enriching contemporary media pedagogy in digitally evolving learning environments. Full article

The purpose of this article is to present a systematic reflection on my experience teaching international English as a Second Language (ESL) students about Indigenous rights and reconciliation in a year-long university ESL course in Canada during the COVID-19 pandemic. Teaching materials and activities originally aimed to engage students in a pre-political form of intercultural citizenship engagement with the historical struggles and contemporary realities of Indigenous communities in Canada. Over a six-week period, I engaged in a journaling process to (1) explore the opportunities and challenges of teaching this topic in an online course environment and (2) reflect on my attempts to support and challenge students to critically examine their views and assumptions about cultural diversity in Canada and within their own cultural contexts. A qualitative analysis of the reflective notes revealed that students’ engagement with the course activities designed for this theme was limited. While students completed all required tasks, their discussions and artifacts suggest that engaging with reconciliation from a distance constitutes a complex demand for their intercultural learning. This complexity was reflected in students’ reliance on surface-level engagement rather than sustained critical or dialogic exploration. These findings raise questions about the pedagogical framing of the activities, the temporal and experiential distance of the learning context, and the role these factors may have played in constraining students’ ability to meaningfully engage with reconciliation as a lived and ethically charged process. Drawing on scholarship addressing the ethical challenges of the teacher role and positionality in teaching sensitive topics within intercultural citizenship education (ICE), this article concludes with a reflexive discussion of instructional intentions, ethical tensions, and design considerations that may inform future intercultural citizenship pedagogy in similarly constrained teaching and learning contexts. Full article

Large language models (LLMs) with the Transformer architecture as the core have made significant progress in the field of natural language processing, and their application value in English teaching has also attracted much attention. In tasks such as text generation, question-answering systems, and translation, the processing capabilities of LLMs have significantly improved. However, existing LLMs have problems such as insufficient coverage of professional knowledge, rough semantic parsing, and weak personalized services. To address the aforementioned issues, this study proposes a dual-path retrieval-enhanced generation scheme that integrates vector databases and intelligent agents, aiming to improve the application of large models in English language teaching. Semantic retrieval of unstructured data in English teaching is realized through vector databases, knowledge is dynamically acquired by combining agents, and the accuracy is improved by using Bloom filters to fuse dual-path retrieval. At the same time, the retrieval efficiency is optimized by an importance-oriented algorithm, and user profiles are constructed based on multi-dimensional data to achieve personalized adaptation. Experiments show that the maximum optimization of the retrieval time of this scheme can reach 26.32%, and the highest retrieval accuracy can reach 86%. The key indicators and scores in tasks such as English knowledge retrieval and question-answering reasoning are better than those of the comparative schemes, providing an effective technical path for intelligent English teaching. Full article

Artificial Intelligence (AI) holds transformative potential to revolutionize teaching and learning, yet its rapid integration poses significant challenges for teacher preparation. While AI competencies—encompassing knowledge, skills, and attitudes—are critical for effective integration, limited research has holistically addressed these three interconnected domains. To bridge this gap, this quasi-experimental study (N = 259) evaluated a triadic instructional design synergizing the intelligent technological, pedagogical, and content knowledge (Intelligent-TPACK) framework, Synthesis of Qualitative Data model, and curated AI tools. Pre-service English as a foreign language (EFL) teachers were assigned to an experimental group (n = 137) receiving the structured intervention or a control group (n = 122) engaging in self-directed AI exploration. Results reveal that the experimental group achieved greater gains across all Intelligent-TPACK dimensions and demonstrated higher-order AI applications in lesson planning. Furthermore, the experimental group experienced a significant reduction in perceived pressure and reported higher perceived usefulness regarding AI integration. Qualitative data revealed that hands-on AI tasks enhanced participants’ confidence, yet challenges with prompts and critical adaptation persisted. The findings demonstrate that systematic training is essential for transforming pre-service teachers’ passive awareness into competent AI integration. Finally, this paper proposes practical implications for integrating this triadic framework into teacher education curricula to facilitate sustainable AI adoption. Full article

Generative AI (GenAI) is increasingly embedded in higher education workflows for teaching preparation and academic work, yet lecturers’ affective readiness and perceived alignment between AI use and professional values remain underexplored. This mixed-methods study investigated 191 Indonesian university English lecturers’ GenAI-related anxiety and satisfaction, mapped adoption patterns through profile analysis, and identified key integration challenges. Quantitative data were collected using a reliable 10-item AI Anxiety Scale (α = 0.89) and a global satisfaction item and analyzed using descriptive statistics, Spearman’s correlations, and K-means clustering. The strongest anxieties concerned over-reliance (M = 4.20, SD = 0.80, d = −1.12) and content accuracy (M = 3.70, SD = 1.10, d = −0.76). Anxiety was negatively associated with satisfaction, most notably for perceived complexity (r = −0.197, p = 0.006) and dependency concerns (r = −0.184, p = 0.012). Three profiles emerged: high-anxiety lecturers reported distrust and pedagogical discomfort; moderate-anxiety lecturers adopted GenAI conditionally with verification; and low-anxiety lecturers used GenAI confidently and proactively. Qualitative reflections and interviews revealed five dominant use cases, involving writing support, material development, assessment design, translation, and lesson planning, while stressing persistent barriers related to ethical uncertainty, mistrust in AI-generated outputs, and concerns about diminished educator agency. The findings suggest that aligning GenAI with higher education workflows requires human-centered support, including context-sensitive AI literacy, clear ethical guidance, and institutional governance that strengthens responsible adoption. Full article

The rapid digital transformation of higher education institutions (HEIs) has created new opportunities to promote sustainability-focused teaching, learning, and assessment. At the same time, traditional assessment methods often fail to accurately measure complex skills needed for sustainability, such as systems thinking, critical reflection, and real-world problem-solving. This study examines the integration of adaptive learning platforms with performance-based assessment (PBA) as an innovative way to support inclusive, sustainability-oriented learning in higher education. Based on principles of Education for Sustainable Development (ESD), Universal Design for Learning (UDL), and constructivist learning theory, the study investigates how adaptive learning technologies tailor instruction for diverse learners while PBAs offer genuine measures of sustainability skills. Using a mixed-methods approach, data were gathered from forty-eight undergraduate students enrolled in an inclusive education course that used an adaptive learning module and PBA tasks. Learning analytics, rubric-based performance scores, and student perception surveys were analyzed to explore effects on engagement, accessibility, and skill development. The results show that this combined method enhances student inclusion, supports differentiated learning pathways, boosts engagement in sustainability tasks, and yields more complete evidence of sustainability competencies than traditional assessments. The study provides a framework for HEIs aiming to align digital transformation initiatives with sustainability objectives. It emphasizes the potential of integrating adaptive learning and PBA to promote innovative, inclusive, and sustainability-focused assessment practices. Implications for policy, curriculum design, and future digital sustainability efforts are also discussed. Full article

In the present qualitative study, we first synthesize research to clarify the concept of error in science as developed by epistemologists, philosophers, and historians. We also examine the concept of error in educational science, drawing from studies on science learning and teaching. To do this, we analyzed references found through a systematic review of books and journals. We also selected published articles on the history of physics and chemistry and consulted documents authored by scientists in English or in official translations. We guided our selection by choosing sources relevant to conceptualizing error in scientific and educational contexts. Our key findings show two categories of scientific error: those that have contributed to scientific progress and those that have hindered it. Some renowned scientists, such as Aristotle and Buridan, put forward theories of force and movement that were later shown to be false. However, these errors did not always impede scientific advancement. This research highlights how scientific errors have shaped the evolution of science and reveals insights into the scientific process and the resilience of the scientific community. In science education, researchers use various terms such as “student naïve reasoning,” “students’ alternative conceptions,” “students’ alternative theory,” and “misconceptions.” Students’ errors, like scientific errors, can be classified into two categories. The first type involves errors from distractions, misunderstandings, or unintentional mistakes. The second type results from students’ interactions with many natural and man-made phenomena, the common language used in society (which differs from scientific language), and errors passed down by teachers or found in textbooks. Finally, we note that identifying errors among scientists and students supports the development of strategy-based teaching for meaningful science learning. From this perspective, students will be pleased to know that some of their conceptions of force and motion are “similar” to those developed by Aristotle and Buridan, even if these conceptions are false relative to those developed by Galileo and Newton. Recognizing both scientists’ and students’ errors is essential for creating teaching strategies that promote deeper science learning. Full article