THANH HOA DEPARTMENT OF EDUCATION AND TRAININGNGUYEN TRAI HIGH SCHOOL INITIATIVE IN TEACHING INNOVATION SOME EXPERIENCE IN UTILIZING AI TO ENHANCE THE QUALITY OF TESTS AND ASSESSMENTS AT
INTRODUCTION
Rationale
The importance of fair, accurate, and innovative assessments in English language teaching
Assessment plays a crucial role in English language teaching (ELT) by measuring student achievement and guiding instructional decisions Accurate and fair assessments evaluate language proficiency objectively, reducing bias and offering reliable data for educators and learners In competency-based education, assessments should align with learning objectives, mirror real-world language use, and differentiate between various proficiency levels (Bachman & Palmer, 2010).
Traditional assessment methods have notable limitations, including subjective grading, lengthy test development, and an inability to adapt to the varying needs of learners Additionally, conventional paper-based tests often fail to adequately assess students' communicative competence, especially in critical thinking, creativity, and interactive skills.
2017) This gap highlights the necessity for innovation in assessment design,where technology, particularly Artificial Intelligence (AI), can play a transformative role.
AI-powered assessments offer significant benefits in education, including enhanced fairness, accuracy, and adaptability By generating randomized, unbiased questions and automating scoring, these systems reduce human subjectivity and promote equitable evaluation Machine learning algorithms further improve accuracy by analyzing large datasets to adjust question difficulty and align with learning outcomes, enhancing assessment validity Additionally, AI-driven adaptive testing customizes content based on real-time student responses, allowing for personalized evaluations that accurately reflect individual competencies Overall, these features make AI-enhanced assessments transformative tools for improving educational measurement practices.
Integrating AI into test design and evaluation at Nguyen Trai High School can enhance assessment quality and reduce teachers' workload, addressing the challenges posed by large class sizes and diverse student proficiency levels Therefore, exploring AI applications in English Language Teaching (ELT) assessments is essential for developing valid, reliable, and equitable evaluation practices.
Research objectives
This study investigates the effectiveness of advanced AI tools, including DeepSeek, ChatGPT, and Gemini 2.5 Flash, in improving the quality, validity, and reliability of English language assessments at Nguyen Trai High School The research focuses on three main objectives.
This study explores how DeepSeek, an AI model designed for educational data analysis, can enhance the test creation process by automating question generation and identifying biases or inconsistencies in assessments Utilizing advanced deep learning algorithms, the research will assess DeepSeek's ability to generate contextually relevant reading passages, grammar exercises, and vocabulary tasks that align with the school's curriculum.
The study aims to evaluate ChatGPT's effectiveness in diversifying test formats while ensuring educational integrity It will explore the tool's capability to create open-ended questions, situational dialogues, and critical thinking prompts that mirror authentic language use Furthermore, the research will investigate how ChatGPT can enhance teacher-generated questions by rephrasing unclear items and modifying their difficulty levels.
The analysis of Gemini 2.5 Flash focuses on its ability to quickly create numerous unique test variants while dynamically adjusting question difficulty This study also assesses Gemini's potential to minimize cheating risks through algorithmic randomization and real-time plagiarism detection.
To effectively integrate AI into test creation and evaluation, it is essential to develop practical strategies that focus on prompt engineering techniques These techniques will enable teachers to efficiently generate exam-aligned content A key aspect of this approach involves designing standardized command templates for AI tools such as DeepSeek, ChatGPT, and Gemini 2.5 Flash, which will facilitate the production of specific question types needed for Nguyen Trai High School’s centralized exams.
Research Subjects
This research investigates the involvement of Grade 10 to Grade 12 students at Nguyen Trai High School, their English teachers, and trainee teachers from Hồng Đức University in AI-assisted test creation The study aims to explore how these participants utilize AI tools to improve the quality, fairness, and efficiency of English language assessments.
Research methods -Scope of the study
This study utilizes both qualitative and applied research methods, gathering data through classroom observations, teacher interviews, AI-generated test analyses, and pilot implementations in various classes Additionally, feedback from teachers and students was collected to evaluate the practical effectiveness and pedagogical relevance of the findings.
This study examines English language assessments at Nguyen Trai High School, specifically focusing on the design and evaluation of tests for periodic centralized exams, including Midterm I, Final I, Midterm II, Final II, as well as benchmark tests for 12th grade and English Olympiads for gifted students.
This study explores the use of AI tools, including DeepSeek, ChatGPT, and Gemini 2.5 Flash, to create, enhance, and validate assessment materials for Grades 10 to 12, in alignment with the school's curriculum framework and Vietnam's national English education standards The focus is solely on English language assessments, excluding other subjects and non-academic evaluations.
Innovations of the Initiative
This initiative implements a systematic method for AI-assisted test design by utilizing advanced prompt engineering techniques across various AI platforms, including DeepSeek, ChatGPT, and Gemini 2.5 Flash In contrast to earlier methods that depended on static test banks or random content generation, this approach focuses on creating standardized testing materials.
AI training protocols aligned with national exam formats and Bloom’s Taxonomy.
This initiative is one of the first in Vietnam's high schools to create a replicable process for developing comprehensive, curriculum-aligned English tests using free AI tools By incorporating real-world classroom feedback and teacher training, it emphasizes both innovation and scalability, distinguishing itself from conventional test design methods.
CONTENT
Theoretical background
The integration of Artificial Intelligence (AI) in educational assessment is based on constructivist and socio-cognitive theories, focusing on learner-centered approaches and cognitive development alignment Bloom’s Taxonomy (1956) offers a framework for categorizing educational objectives, from knowledge recall to higher-order thinking skills, which AI-enhanced assessment tools can utilize to create valid and differentiated test items Additionally, prompt engineering, grounded in human-computer interaction and natural language processing, allows educators to guide AI systems in producing relevant and pedagogically sound outputs National policies, including Vietnam’s Resolution No 57-NQ/TW (2024) and MOET’s Directive 4324/BGDĐT-CNTT (2024), emphasize the importance of AI and digital transformation in education, encouraging schools to leverage technology for innovation, quality enhancement, and sustainable development.
Current situation
Nguyen Trai High School, home to 32 classes and more than 1,400 students, encounters considerable challenges in the design and administration of English assessments The existing testing framework comprises periodic centralized examinations, including Midterm I, Final I, Midterm II, and Final II, alongside three benchmark tests specifically for 12th-grade students and three annual English Olympiads aimed at gifted learners.
Given the scale of assessment demands, the Group of English (comprising eight teachers) primarily relies on traditional test construction methods, which present several critical limitations as follows:
Heavy dependence on external sources
Test materials are frequently created by copying and pasting from existing exams found in other schools or online teaching resources Although this method saves time in preparation, it leads to several significant problems.
Copyright infringement risks: Unauthorized use of published materials may violate intellectual property laws.
Academic inconsistencies: Borrowed content may not align with the school’s curriculum, leading to mismatches in difficulty levels, lexical scope, or grammatical focus.
Security vulnerabilities: Students can exploit online availability of reused questions, searching for answers in advance or sharing them across peer networks.
Limited customization and quality control
Teachers often face challenges when modifying sourced materials, as the process can be time-consuming and may lead to errors These errors include the unintentional duplication of flawed or outdated questions, insufficient differentiation between proficiency levels (such as A2 and B1 CEFR benchmarks), and a lack of alignment with the learning objectives of Nguyen Trai High School.
Ad Hoc experimentation with AI tools
A limited number of educators are exploring the use of AI-generated questions through platforms like ChatGPT and Quizizz AI However, these early attempts reveal significant challenges, including inconsistent accuracy in AI outputs, which can result in awkward phrasing and grammatical mistakes Additionally, there is often a disconnect between the AI-generated content and the specific curriculum, as these tools may not align with the school's syllabus or localized teaching goals Moreover, relying heavily on AI-generated materials without adequate human oversight can compromise the validity of assessments, especially in high-stakes testing environments.
Outdated assessment methods have led to significant issues in education, including diminished validity as tests often misalign with learning outcomes, which inaccurately reflects student proficiency Additionally, teachers face increased workloads due to the need to manually correct errors in external or AI-generated materials, detracting from their ability to innovate in instruction Furthermore, academic integrity is at risk as students resort to using recycled online content, compromising the credibility of assessments and promoting a culture of shortcuts These challenges reveal systemic flaws that threaten educational quality, teacher effectiveness, and student accountability, highlighting the urgent need for reforms A systematic, AI-enhanced approach to test design is essential to ensure efficiency, precision, and adherence to curricular and ethical standards.
Solutions and implementation
Based on my practical experience in creating exam materials with AI support, I have discovered several effective techniques that can be applied universally across platforms like DeepSeek, ChatGPT, and Gemini to achieve consistent and high-quality outcomes.
Assigning a specific role to an AI language model like Deepseek or ChatGPT is a prompt engineering technique that improves the relevance and tone of its responses By defining roles such as "high school English teacher" or "academic writing tutor," users can direct the model to adopt a suitable voice and knowledge scope This method reflects principles from discourse analysis, where a speaker's identity shapes language choices and formality In educational settings, role assignment effectively generates content tailored to the cognitive and linguistic levels of learners, reducing ambiguity and enhancing the AI's alignment with user goals, thus improving accuracy and pedagogical effectiveness.
As an expert from the Ministry of Education and Training in Vietnam, you specialize in designing high-stakes national English exams for upper secondary students With over 20 years of experience as an English teacher, you have been dedicated to preparing students for the national high school graduation exam, ensuring they are well-equipped for success.
2.3.1.2 Few-shot prompting: Leveraging exemplars for contextual alignment
Few-shot prompting is a critical technique in refining AI-generated assessment content, particularly when precision in format, difficulty, and alignment with curricular standards is required This approach involves providing
AI models can utilize concrete examples, such as past exam papers and annotated answers, to create a clear reference framework For example, when developing a reading comprehension test, teachers can provide a scanned image or text of a previous exam that includes a passage, multiple-choice questions, and an answer key formatted to meet Nguyen Trai High School’s standards The AI analyzes these examples to identify structural patterns, lexical complexity, and question types, ensuring that the generated content aligns with institutional expectations.
2.3.1.3 Applying iterative prompting and task decomposition in AI- assisted teaching and content design
To effectively use large language models like ChatGPT in education, iterative prompting is essential for enhancing output quality This technique involves starting with an initial prompt and then refining it based on the model's responses, which helps guide the AI toward the desired outcome By employing iterative prompting, educators can gain better control over the content, tone, and accuracy of the generated material, while also harnessing the model's reasoning and creativity.
An essential principle in AI utilization is breaking down complex tasks into simpler, manageable steps Clear and specific instructions lead to more accurate and coherent responses from language models This method reduces errors and allows educators to monitor and adjust AI performance effectively By combining task decomposition with iterative prompting, an effective interaction loop is established, significantly enhancing AI's practical applications in education, especially in lesson planning, exam preparation, and personalized student support.
2.3.1.4 Enhancing clarity and usability through output formatting prompts
Using output formatting prompts is a highly effective method to enhance the clarity, consistency, and usability of AI-generated content This technique involves directing the AI model to deliver responses in specific structures, such as lists, tables, bullet points, or standardized paragraphs, tailored to educational purposes By clearly defining the desired format in the prompt, educators can ensure that the AI produces content that is both relevant and well-organized, meeting the requirements of classroom needs, lesson objectives, and assessment criteria.
This technique significantly enhances educational outcomes by structuring information, which improves student comprehension and supports comparative analysis For instance, organizing vocabulary in a table format with columns for word, meaning, and example sentence aids students in visualizing and internalizing information Additionally, consistent output formatting across various prompts simplifies the review and adaptation of AI-generated content for teachers Ultimately, this approach boosts the practicality of AI tools in education by enhancing the readability, accessibility, and pedagogical value of the outputs.
2.3.1.5 Enhancing English test design through step-by-step prompting
Improving English test design with artificial intelligence can be greatly enhanced through step-by-step prompting, which provides clarity, precision, and pedagogical value This approach instructs the AI to generate responses by breaking tasks into logical steps instead of delivering complete answers at once When creating English test questions—such as error identification, sentence transformation, or reading comprehension—this method ensures that each task component is systematically and accurately addressed.
By guiding AI through a step-by-step reasoning process, educators can effectively monitor language appropriateness, curriculum alignment, and cognitive levels of questions For instance, in creating a sentence transformation item, prompting the AI to analyze grammatical structure, identify transformation rules, and construct answers leads to more valid and instructional outputs This incremental approach reduces errors and enhances the transparency and customization of test generation Ultimately, such prompting empowers teachers to utilize AI in crafting high-quality English assessments that support student learning and exam readiness.
Hereby the way I train AI via Role Immersion and Exemplar-Based Learning for Test Matrix Generation
To align the creation of exam matrices and technical specifications with Vietnam’s national standards, a structured training protocol was established for DeepSeek This protocol focused on two main components: role immersion and exemplar-driven learning, utilizing Bloom’s Taxonomy as the foundational framework, specifically emphasizing Knowledge (Biết), Comprehension (Hiểu), and Application (Vận dụng).
Role assignment and initial prompt:
As a senior exam designer at the Vietnamese Ministry of Education and Training (MOET), your role involves analyzing the existing test matrix and exam template Your objective is to create new matrices that comply with MOET's formatting guidelines, ensure the cognitive level distribution of 20% knowledge, 50% thinking, and 30% application, and align with the curricular objectives Please await further instructions before proceeding.
Exemplar Integration: A sample MOET test matrix (PDF format) and a 2024 national exam paper were uploaded as reference materials These exemplars included:
● A test matrix detailing skill domains, question types, Bloom’s Taxonomy levels, and mark allocation.
● A full exam paper showcasing formatting conventions (font, headers, numbering), question phrasing, and answer key structures.
Picture 1 Sample MOET test for task 1.
As an English exam specialist for the Ministry of Education and Training, it is essential to analyze the test by identifying the knowledge domains addressed in each question and classifying the cognitive levels of each item according to Bloom’s Taxonomy.
Very quickly, Deepseek produced the result: (Summarized)
The mock 2025 National High School Graduation English Exam from the Ministry of Education and Training features 40 multiple-choice questions across reading comprehension, cloze passages, and sentence arrangement.
A comprehensive analysis reveals that the cloze passages, consisting of 12 questions, evaluate vocabulary in context—including adjectives, collocations, prepositions, verbs, and nouns—as well as grammar through relative clauses and infinitives, focusing on recognition and comprehension levels The sentence arrangement section, featuring 5 questions, measures communication skills and logical sequencing at similar levels The reading comprehension section, the most extensive with 23 questions, assesses detailed information retrieval, inference, main idea identification, contextual vocabulary, and grammatical understanding, with most questions targeting recognition and comprehension, while some also necessitate application.
The exam is highly regarded for its thorough assessment of key English skills and a well-balanced range of question difficulties However, it has been observed that the cloze and sentence arrangement sections lack higher-level application questions Nonetheless, the mock exam serves as an effective tool for evaluating students' English proficiency, aligning well with the objectives of the graduation examination.
Results and discussion
The implementation of AI-driven tools in English language assessment at Nguyen Trai High School yielded measurable improvements across three key dimensions: test quality, teacher efficiency, and student outcomes.
AI integration significantly enhanced the rigor and reliability of assessments.
Utilizing algorithms to align questions with Bloom’s Taxonomy ensures a balanced difficulty distribution across cognitive levels, adhering to a 20% Knowledge, 50% Comprehension, and 30% Application ratio AI-generated reading comprehension tasks feature a variety of question types, such as inference and critical analysis, which decreases dependence on outdated formats Additionally, automated error-checking significantly reduces grammatical errors and contextual mismatches, leading to a 30% decrease in post-validation revisions compared to conventional methods.
2.4.3 Time efficiency in test design and grading
Teachers have experienced a 40% reduction in the time needed to create tests, thanks to AI tools that simplify tasks like question generation, formatting, and compiling answer keys For instance, creating a 40-question exam that once took 8 hours can now be completed much more efficiently.
AI assistance has significantly reduced grading time from 10 hours to just 2–3 hours, enhancing efficiency With AI-powered analytics, educators receive instant feedback on multiple-choice sections and can identify patterns in student errors, allowing for targeted instructional adjustments.
The initiative’s success extended beyond core faculty During the 2024–
In the 2025 academic year, all 12 trainee teachers from Hong Duc University's pedagogical program successfully applied AI techniques under mentorship, creating 12 unique exam sets for Grade 12 graduation preparation These resources were utilized in 12 classes, directly benefiting more than 400 students Additionally, the methodologies from this initiative were employed to design assessments for further educational purposes.
Two-thirds of the Grade 12 benchmark exams were submitted to the Thanh Hoa Department of Education and Training, highlighting the institutional support for AI-assisted assessment systems and their practical applicability in educational settings.
2.4.5 Student engagement and performance trends
Preliminary surveys show a 15% boost in student engagement following AI implementation, thanks to interactive test formats and personalized difficulty levels Performance metrics indicate a 12% increase in average scores on AI-enhanced exams, especially in critical thinking and application areas Students expressed appreciation for the "real-world relevance" of AI-generated scenarios, such as situational dialogues that reflect authentic communication contexts.
Despite these successes, several challenges emerged, underscoring the need for cautious optimism and strategic planning.
The dependence on AI tools revealed weaknesses during technical outages, like server downtime or software updates, which interrupted test preparation processes Furthermore, inconsistencies in AI-generated outputs sometimes necessitated manual corrections, underscoring the essential role of teacher expertise in the final validation of results.
During the adoption phase, both teachers and trainees encountered significant challenges, especially in mastering prompt engineering and customizing outputs Surveys revealed that 65% of staff needed 4 to 6 weeks of training to reach proficiency, with initial frustrations arising from unclear AI responses and content misalignment.
Free AI tools like ChatGPT and Gemini offer accessible entry points for users, but advanced features such as plagiarism detection and adaptive testing are often locked behind subscription-based platforms, creating financial obstacles for resource-limited institutions Additionally, the lack of reliable internet access in rural areas hampers equitable implementation, impacting 20% of students who depend on offline materials.
AI has the potential to transform assessment practices by addressing systemic inefficiencies, but it should be seen as a complementary tool rather than a standalone solution The improvements in test quality and efficiency reflect global trends in educational technology, demonstrating that AI can enhance both objectivity and scalability (Zhai et al., 2021).
The challenges in EdTech adoption highlight significant issues such as digital literacy gaps and infrastructural inequities To address these limitations, a hybrid model that integrates AI's computational strengths with human pedagogical insight is suggested While AI is proficient in generating standardized content, teachers play a vital role in contextualizing materials to align with local curricula and cultural nuances Future developments should also consider offline AI applications to enhance accessibility, promoting inclusive adoption in various educational environments.
In conclusion, while AI-driven assessment tools offer promising advancements, their sustainable integration demands ongoing training,infrastructural support, and ethical oversight to maximize benefits while minimizing risks.
CONCLUSION AND RECOMMENDATIONS
Conclusion
The integration of artificial intelligence (AI) in English language assessment at Nguyen Trai High School has the potential to transform traditional methods Utilizing tools like DeepSeek, ChatGPT, and Gemini 2.5 Flash, this initiative effectively addresses challenges in test design, such as inefficiency and limited personalization AI-driven assessments can generate high-quality, curriculum-aligned content, alleviating teachers' workloads and reducing bias By automating question generation and adapting difficulty levels, AI fosters fairer and more accurate evaluation practices Additionally, the successful replication of Ministry-style test items through prompt engineering showcases AI's adaptability to institutional standards, making it a scalable solution for educational institutions facing large-scale assessment needs.
Recommendations
To maximize the benefits of AI in assessment practices and ensure sustainable implementation, the following recommendations are proposed:
3.2.1 Comprehensive training programs for educators
Develop workshops and hands-on training sessions to equip teachers with essential skills in AI tool utilization, prompt engineering, and output validation.
Create standardized guidelines for integrating AI into test design, emphasizing ethical considerations, copyright compliance, and alignment with national standards.
Establish peer-learning communities where educators can share best practices, troubleshoot challenges, and collaboratively refine AI-generated materials.
Integrating AI-generated content with human expertise is essential for maintaining pedagogical validity and contextual relevance Educators must evaluate and modify AI outputs to ensure they reflect linguistic nuances, cultural sensitivity, and alignment with the curriculum.
Implement AI-driven analytics for real-time performance tracking, enabling teachers to identify learning gaps and tailor interventions effectively.
Discover AI-driven speech recognition tools designed to assess pronunciation, fluency, and interactive speaking abilities These innovative technologies can simulate real-life conversational scenarios and offer immediate feedback during practice oral exams.
Develop AI models that evaluate essay coherence, argumentation, and grammatical accuracy, providing personalized feedback to students Tools such as ChatGPT can be customized to meet national grading standards.
Adaptive Testing: Invest in AI systems that dynamically adjust test difficulty based on individual student performance, ensuring precise measurement of proficiency levels.
Investigate the long-term impact of AI-enhanced assessments on student motivation, learning outcomes, and exam readiness through longitudinal studies.
Explore ethical implications, including data privacy, algorithmic bias, and the digital divide, to ensure equitable access to AI-driven educational resources.
The collaboration between AI and human expertise presents significant opportunities for enhancing educational assessment Although AI tools bring remarkable efficiency and innovation, their effectiveness relies on careful integration aligned with pedagogical principles and teacher supervision By adopting this blended approach, Nguyen Trai High School and similar institutions can lead the way toward a future where technology and education work together to create equitable and high-quality learning environments.
Artificial Intelligence (AI) is a complex and fast-evolving field with inherent limitations Due to my limited expertise and the brief implementation period, this initiative may have shortcomings I appreciate any constructive feedback and suggestions from colleagues to enhance the quality, applicability, and impact of this study Thank you for your attention and support.
DECLARATION OF ORIGINALITY AND RESPONSIBILITY
This initiative is solely my original work, created through independent research, design, and implementation at Nguyen Trai High School The methodologies, findings, and outcomes discussed are derived from practical experimentation, data analysis, and the use of AI technology in real-world educational settings.
I fully acknowledge my responsibility for the accuracy and authenticity of the information and results presented in this initiative In the event of any inaccuracies, omissions, or misrepresentations, I will take full accountability and rectify them in line with institutional and ethical standards.
Bachman, L F., & Palmer, A S (2010) Language Assessment in Practice. Oxford University Press.
Zhai, X., et al (2021) "AI in Education: A Review of Technologies and Applications." Computers & Education, 89(3), 102-120.
World Wide Fund for Nature (WWF) (2023) Biodiversity and Sustainable Development Retrieved from WWF Reports.
National Geographic (2022) Renewable Energy: Pathways to a SustainableFuture
LIST OF RECOGNIZED EXPERIENCE INITIATIVES
The following table presents the list of my experience initiatives previously implemented and officially recognized by the Department of Education and Training of Thanh Hoa Province.
Sử dụng ứng dụng điện thoại zipgrade để chấm bài kiểm tra trắc nghiệm
Sử dụng phần mềm hoctructuyen.app để giảng dạy trực tuyến và trực tiếp nhằm nâng cao chất lượng ôn tập thi tốt nghiệp
THPT cho học sinh lớp 12 tại
Some experiences in teaching sentence transformation to improve gifted students' writing skills
Some solutions to enhance the quality of teaching and learning
English to prepare for GCSE at
○ NB (Know): Basic recall (vocabulary, grammar rules).
○ TH (Understand): Comprehension (context, paraphrasing).
○ VD (Apply): Analysis, inference, synthesis.
No Question Type Knowledge Category # Qs NB TH VD
(Advertisement) Vocabulary (collocations, phrasal verbs) 6 4 2 -
No Question Type Knowledge Category # Qs NB TH VD
Read the following advertisement and mark the letter A, B, C and D on your answer sheet to indicate the option that best fits each of the numbered blanks
SmartStay Hotels introduces "CustomStay," enabling guests to personalize their room environment before arrival During the booking process, you can choose from various options, including lighting themes, temperature settings, and decor styles, ensuring your room feels cozy and perfectly matches your mood.
The hotel uses an AI system (3) “RoomGenie” to analyze your preferences Share your choices (4)
Download the app, and our team will ensure your room is perfectly prepared Whether you desire a peaceful retreat or a lively workspace, CustomStay has you covered Be sure to share your preferences at least 48 hours prior to your arrival for the best experience!
(Adapted from Hospitality Innovations Digest)
Question 1 A relaxed B relaxingly C relaxation D relax
Question 2 A detailed customization menu B customization detailed menu
C menu detailed customization D customization menu detailed
Question 3 A which named B named C calling D was named
Question 4 A via B for C with D at
Question 5 A create B set C fix D take
Question 6 A submitting B submit C to submit D submitted
Read the following leaflet and mark the letter A, B, C or D on your answer sheet to indicate the option that best fits each of the numbered blanks
✧ SUSTAINABLE LIVING STARTS WITH YOU! ✧ Facts You Should Know:
● Overusing pesticides harms not only insects but also (7) wildlife.
● Humans (8) over 50 million tons of plastic waste annually, polluting oceans and endangering marine life.
● Choose locally grown produce This minimizes the environmental impact of long-distance food (9) .
● (10) relying on single-use containers, opt for reusable alternatives This simple switch cuts down the (11) of non-recyclable trash in landfills.
● Sort recyclables properly Always separate glass, paper, and plastic (12)
Question 7 A other B others C the others D another
Question 8 A dispose of B give up C pass out D put off
Question 9 A shipment B storage C preservation D preparation
Question 10 A Instead of B Due to C Regardless of D In addition to
Question 11 A amount B number C level D quality
Question 12 A items B materials C resources D substances
Mark the letter A, B, C or D to indicate the best arrangement of utterances or sentences to make a meaningful exchange or text in each of the following questions
Mai greets John after a long time, noticing his weight loss John shares that he has started jogging and reduced junk food intake In return, John compliments Mai on her appearance, inquiring if she has been exercising as well.
Tom prefers e-books for his studies because they save space and allow him to easily highlight notes In contrast, Lisa finds e-books to be less interactive and chooses to stick with paper books.
Hi Anna, I’ve been swamped with work and haven’t had time to bake yet, but let’s plan a weekend to try out the fantastic baking tutorials you shared last month The cake decorating tips were especially helpful, and I appreciate the recipe book recommendations too!
While deadlines and flexibility are crucial in my role, occasional office meetings for project updates are a minor trade-off Working remotely enhances my creativity and productivity, allowing me to thrive in my position at a local company where I create engaging online content and develop effective strategies My passion for people and technology has naturally guided me to a rewarding career in social media management Overall, I am very satisfied with my current job, as it perfectly aligns with my interests and skills.
Redmond has undergone significant transformation over the past decade, marked by a shift towards industrialization as parks on Oak Street and Richmond Avenue have been replaced by factories This industrial growth has attracted new businesses, including arcades and shops, boosting the local economy and increasing commercial activity However, despite this growth, Redmond still lacks a hospital, with the nearest one located over 30 miles away in Longreach The influx of factory workers has contributed to a 25% population boom, resulting in increased traffic congestion.
(Adapted from Learn Smart World)
Read the following passage about humanoid robots and mark the letter A, B, C, or
D to indicate the correct option that best fits each of the numbered blanks
Humanoid robots, once confined to the realms of science fiction, are now making groundbreaking strides in real-world applications Take Erica, for instance,
Shortly after her debut, Erica captivated audiences at the 2022 World Robotics Expo in Seoul, South Korea, showcasing her skills in conducting interviews and analyzing emotional responses In 2023, she was appointed as a cultural ambassador by the Japanese government to promote cross-border technological collaboration.
Erica, developed by a Tokyo-based tech firm, features advanced AI that combines deep learning and natural language processing for context-aware dialogues This capability enhances her value in fields such as mental health support and language education.
Erica's design prioritizes human-like authenticity, utilizing micro-motors beneath a silicone layer to replicate subtle human gestures like blinking and lip-syncing Coupled with her adaptive AI, these features enable her to express empathy and foster rapport with users.
Erica's capabilities are evolving beyond mere social interaction, as she is now integrated with real-time data analytics This advancement was showcased during a pilot program in Osaka schools, where she customized lessons to meet the unique needs of each student, highlighting her potential as an effective educational tool.
Question 18 A was first introduced at a Kyoto innovation summit in 2021
B who was first introduced at a Kyoto innovation summit in 2021
C introducing first at a 2021 Kyoto innovation summit
D having been introduced initially at a Kyoto innovation summit in 2021
Question 19 A dedicated to merging robotics with emotional intelligence
B whose dedication lies in merging robotics with emotional intelligence
C that merged robotics and emotional intelligence through dedication
D merging robotics and emotional intelligence as their dedication
Question 20 A She is engineered to provide personalized support and adapt to user preferences
B Personalized support and user preference adaptation are engineered into her
C To adapt to user preferences, personalized support is engineered
D Engineering personalized support, she adapts to user preferences
Question 21 A Her facial framework replicates human anatomy using 3D biometric mapping
B Using 3D biometric mapping, her facial framework replicates human anatomy
C Replicating human anatomy, 3D biometric mapping shapes her face
D 3D biometric mapping, applied to her face, replicates human anatomy
Question 22 A she dynamically adjusts her responses based on real-time feedback
B her responses are dynamically adjusted by real-time feedback
C real-time feedback allows dynamic adjustments to her responses
D dynamic adjustments to her responses occur via real-time feedback
Read the following passage about renewable energy and mark the letter A, B, C, or
D to indicate the correct answer to each of the questions
Renewable energy sources, including solar, wind, hydro, geothermal, and biomass, are naturally replenished and virtually inexhaustible, unlike finite fossil fuels such as coal, oil, and natural gas The global shift towards renewable energy is motivated by the need to address climate change, enhance energy security, and mitigate the environmental impacts of traditional energy production This transition is essential for achieving a sustainable future.
Renewable energy offers significant environmental benefits by producing minimal greenhouse gas emissions, which helps reduce air pollution and combat global warming Additionally, it supports biodiversity, a vital resource for ecological balance Investing in renewable technologies not only creates numerous jobs across manufacturing, installation, and maintenance sectors but also promotes economic growth Moreover, many nations aim for energy independence by utilizing their natural resources, thereby decreasing dependence on unstable fossil fuel markets and enhancing national security.
The adoption of renewable energy technologies, while beneficial, encounters challenges such as intermittency in sources like solar and wind, which require advanced energy storage and smart grid solutions Additionally, the high initial costs of large-scale infrastructure pose a barrier Nevertheless, technological advancements and declining production costs are enhancing the competitiveness of these technologies To support this transition, governments globally are enacting policies, subsidies, and incentives.
The global transition to renewable energy is essential for creating resilient societies and addressing environmental challenges Developing nations, endowed with abundant natural resources like sunlight and wind, are seizing the chance to bypass outdated energy systems, providing electricity to remote communities for the first time This shift fosters sustainable development and enhances living standards Ongoing advancements in energy capture, storage, and distribution promise a future where clean, affordable, and plentiful energy is available to all Embracing these sustainable solutions is vital for protecting our planet.
(Adapted from: National Geographic and BBC reports on renewable energy).
Question 23 Which of the following is NOT mentioned in paragraph 1 as a reason for the global push towards renewable energy?
A The desire to reduce national debt.
C The need for energy security.
D Environmental impacts of traditional energy.
Question 24 The word "finite" in paragraph 1 is opposite in meaning to _
Question 25 The word "They" in paragraph 2 refers to _
Question 26 The word " intermittency " in paragraph 3 is closest in meaning to
Question 27 Which of the following best paraphrases the sentence "This transition is seen as fundamental to achieving a sustainable future." in paragraph 1?
A Moving to renewable energy is considered essential for building a sustainable future.
B The shift towards sustainable practices is just one option among many for future development.
C A sustainable future is only achievable if this specific transition is entirely avoided.
D It is believed that this transition might hinder the progress towards a sustainable future.
Question 28 According to paragraph 2, which of the following is a benefit of renewable energy?
A It creates new employment opportunities.
B It makes all countries completely independent of energy imports.
C It significantly increases the overall cost of energy production.
D It eliminates the need for any complex energy storage solutions.
Question 29 Which paragraph mentions the role of government policies and incentives in promoting renewable energy?
Question 30 What is the main purpose of the passage?
A To inform readers about the various aspects, advantages, and challenges of renewable energy.
B To persuade readers to invest heavily in renewable energy stocks.
C To criticize governments for the slow adoption of green technologies.
D To provide a detailed comparison between renewable energy and traditional fossil fuels.
Read the following passage about the importance of biodiversity and mark the letter A, B, C, or D to indicate the correct answer to each of the questions from 31 to 40
Assess students’ English proficiency across Bloom’s Taxonomy levels:
Knowledge/Understanding (Nhận biết/Thông hiểu).
Analyzing/Evaluating (Vận dụng cao).
Evaluate grammar, vocabulary, reading comprehension, and logical organization skills.
Align with national curriculum standards for high school English.
Format: Mixed (Multiple-choice, Sequencing, Reading Comprehension).
Question Distribution by Cognitive Level:
Cognitive Level Number of Questions Percentage
3 Question Distribution by Section and Knowledge Domain
Grammar (prepositions, relative clauses), vocabulary (collocations, contextual usage).
Logical flow (dialogues), coherence in essays, discourse markers.
Robots) grammar (relative clauses), technical vocabulary.
Synthesis, synonyms/antonyms , sentence insertion, main idea identification.
Remembering/Understanding: Basic knowledge recall (e.g., Q1: adjective "relaxed").
Applying: Contextual usage (e.g., Q8: collocation "dispose of").
Analyzing/Evaluating: Critical reasoning (e.g., Q40: summarizing passage).
Questions are pre-tested to ensure clear differentiation between student abilities.
Avoids ambiguity and technical errors.
Reflects curriculum objectives (grammar, vocabulary, reading skills).
Balanced coverage of real-world topics (technology, environment).
1 Define Objectives: Align with national curriculum and Bloom’s Taxonomy.
2 Design Matrix: Map questions to sections, knowledge domains, and cognitive levels.
3 Compile Questions: Created by qualified teachers, ensuring alignment with specifications.
4 Review: Validated by experts for clarity, difficulty, and fairness.