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number: /2026 CIT number: 0 Number of views: 72
 
number: /2026 CIT number: 0 Number of views: 62
In the context of global integration, Vietnam has implemented significant reforms in its English language teaching (ELT) to adopt modern teaching methods and improve learners’ communicative competence. The effectiveness of these reforms largely depends on teachers’ ability to adapt their teaching practices. This paper reviews EFL teachers’ cognitions and practices of professional development in the context of curriculum reforms in Vietnam. Adopting a systematic review approach, the study utilizes keyword-based searches across major academic databases (such as ERIC, JSTOR, Google Scholar and EBSCO). The study selects 21 academic papers which were peer-reviewed, conducted in the context of Vietnam and published from 2017 to 2024 across various journals and international conference proceedings. The findings from these studies are analysed and synthesized in terms of teachers’ perceptions, the use of innovative teaching methods, integration of information and communication technologies (ICT), and assessment practices. Results indicate a complex relationship between teachers’ beliefs and their teaching practices, showing both alignment and discrepancies. Overall, the findings highlight the need for professional development programs that address teachers’ specific needs and challenges, aiming to bridge the gap between educational policy and what actually takes place in the classroom.
number: /2026 CIT number: 0 Number of views: 83
The rapid expansion of artificial intelligence (AI) in higher education has created new opportunities for personalized learning, while also raising questions about how to effectively manage student engagement in AI-enabled environments. This study employs the Context-Input-Process-Output (CIPO) model to examine how organizational context, learner input, and instructional processes shape student engagement in an AI-integrated English course at a university in Vietnam. A mixed-methods design was used by combining survey data from 288 undergraduate students with semi-structured interviews with seven students. Quantitative results show that the model explains 78.2% of the variance in engagement, with Process factors, including instructor support and motivation to learn, being the strongest predictors, followed by contextual conditions such as policy clarity and digital infrastructure. Input factors, including attitudes towards AI and digital competence, are no longer statistically significant after controlling for the effects of context and teaching process. Qualitative results reinforce the above findings, suggesting that learning engagement depends less on students’ individual AI competences than on how instructors design AI-enabled tasks and the consistency of organizational regulations in guiding AI use. The study contributes to existing scholarship by showing that student engagement in AI-enabled English learning is a systemic outcome, determined primarily by pedagogical and contextual mechanisms. At the same time, the study proposes managerial recommendations to strengthen AI governance, enhance instructor capacity, and support learners in higher education in the Asia-Pacific region.
number: /2026 CIT number: 0 Number of views: 66
This article analyses the current state of early educational intervention for children with disabilities at private special education centres using a participatory approach. The study was conducted at 18 centres in 5 provinces representing different regions of the country, employing a combination of questionnaire surveys, in-depth interviews, and observation. The results show that the centres have established relatively complete procedures for diagnosis, planning, and intervention implementation; however, parental involvement is limited, the level of personalization in plans is not high, coordination between families and centres is inconsistent, and post-intervention monitoring is not standardized. Based on this, the article proposes specific solutions to enhance stakeholder participation, improve family-school coordination, and refine post-intervention evaluation mechanisms, contributing to increased effectiveness and sustainability of early childhood education interventions in private institutions in Vietnam.
number: /2026 CIT number: 0 Number of views: 58
 
number: /2026 CIT number: 0 Number of views: 87
The advent of artificial intelligence (AI) has opened up not only useful learning tools for students but also a whole new horizon for teachers. However, there are also many hidden aspects of using AI in education that we don’t fully understand. This study, conducted at FPT University with 17 English lecturers, investigated whether lecturers were willing and flexible in applying AI to teaching academic writing in English. This is a qualitative study, focusing on understanding the thinking and habits of using AI in building academic writing lesson plans. The results show that, although most lecturers are familiar with common tools such as ChatGPT or Grammarly, the use of AI in the classroom is still limited and only goes as far as correcting grammar errors. More importantly, the study also reveals a significant gap that needs further exploration regarding the awareness of using AI among some lecturers who currently feel they are not yet proficient with the technology. Furthermore, ethical concerns regarding the use of AI also pose potential risks to academic integrity, as students are currently unaware of the consequences of over-reliance on AI in academic writing. This study applies the AI-TPACK assessment framework to gather in-depth empirical insights into the challenges of integrating artificial intelligence into writing instruction in higher education. The results show that effective AI integration requires faculty to have a strong grasp of pedagogical theory, the ability to assess the learning environment, and thus make the most appropriate choices to create the most holistic learning space. In addition, supportive policies from the university and professional training sessions on the use of AI tools also play a significant role in improving the quality of university teaching today.
number: /2026 CIT number: 0 Number of views: 74

This study provides a comprehensive overview and systematization of the theoretical framework for Assessing Learning Outcomes (ALO) oriented towards the Competency Approach (CA), aiming to provide a robust foundation for general education reform. ALO based on CA is defined as a systematic pedagogical process focusing on the student’s ability to mobilize and apply integrated knowledge, skills, and attitudes to solve real-world problems. Unlike traditional content-based assessment that merely ranks academic retention, this approach prioritizes learner progress through multidimensional evaluation. The research analyses five constituent components to propose a structured theoretical framework, including six crucial objectives focused on feedback and growth, and ten core requirements that emphasize process-based integration and qualitative feedback. Furthermore, the study delineates specific content areas and a synergy of five methods and six primary tools, such as rubrics and portfolios. This framework serves as a scientific baseline for implementing assessment activities that align with global standards while addressing the specific needs of the Vietnamese educational context.

number: /2026 CIT number: 0 Number of views: 107
Artificial intelligence (AI), is entering schools at the same time as many education systems are asking teachers to enact competency oriented and learner-centred reform. These developments affect more than classroom technique. They touch teachers’ professional identity: how teachers understand their expertise, exercise judgement, sustain care, and remain accountable for children’s development in changing institutional and technological conditions. This literature review synthesises scholarship on primary teacher professional identity across personal, organisational, and technological dimensions. The review draws on empirical studies, systematic reviews, theoretical works, academic books, and authoritative policy documents. The results show that primary teacher identity is formed through the interaction of self efficacy, motivation, agency, emotion, care, leadership, collaborative professional culture, and critical engagement with AI. AI is analysed as a socio-technical condition that can support teachers when it reduces routine work, extends access to resources, and enables professional reflection, but can also weaken autonomy when it standardises judgement, intensifies surveillance, or obscures ethical responsibility. Sustainable AI integration in primary education requires more than technical training. It requires identity-sensitive teacher education, instructional leadership, communities of practice, and human-centred governance that protect the relational, developmental, and moral purposes of primary teaching.
number: /2026 CIT number: 0 Number of views: 184
Recently, the adoption of e-learning in tertiary education in Vietnam has been phenomenal, necessitating a critical investigation into e-assessment practices. Across the country, the prevalence and diversity of formative e-assessment (FE) have raised quality concerns among teachers. This study, therefore, identifies the pedagogical challenges and proposes some practical solutions to maintain the quality of FE following the principles of validity, reliability, authenticity, practicality, and washback. Qualitative data were gathered through in depth interviews with thirteen teachers and open-ended questionnaire responses from 103 lecturers across various institutions. Thematic analysis revealed major challenges including students’ lack of academic integrity, over-reliance on AI-enhanced tools, the nature of test task design, types of assignments, teachers’ lack of institutional guidance, teachers’ delayed feedback, time pressure for students, and varied levels of contributions in groupwork. In response to these pedagogical challenges, lecturers insisted on the need for professional development in FE design, proctoring, grading, and giving feedback. There were also calls for alternatives to conventional FE assignments, relevant and meaningful task design to meet the demands of the real world while informing students’ proper attitudes towards AI use.
number: /2026 CIT number: 0 Number of views: 194
The rapid integration of ChatGPT into education has raised questions about students’ perceptions of its ethical use, particularly in higher education. This study-grounded in the Theory of Planned Behaviour, Technology Acceptance Model and Cultural-Historical Activity Theory (CHAT) investigated how English majors at a university in the Mekong Delta, Vietnam perceive the ethical use of ChatGPT in academic writing and the factors shaping these perceptions. A sequential explanatory mixed-methods design was employed, including a survey of 95 final-year English majors, followed by in-depth semi structured interviews with three purposively selected participants. Three interviews were conducted to provide explanatory insights into the quantitative patterns. The results indicated that students held favourable perceptions of ethical ChatGPT use in academic writing. Quantitative results indicated that attitudes, perceived behavioural control and perceived risks significantly shaped students’ ethical perceptions, while qualitative interviews were used to explain how these factors operated in students’ actual learning practices. The findings were interpreted using constructs drawn from TPB, TAM and CHAT particularly attitudes, perceived behavioural control and perceived usefulness. They emphasized the importance of verifying outputs but also highlighted the absence of institutional training. The study contributes to ongoing discussions and helpful implications of ChatGPT in academic writing by highlighting the need for structured guidance to promote ethical and effective use of ChatGPT into university learning.