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WorksheetsTask 2.2.1 Comprehension Quiz (20%)
Total questions: 20
Worksheet time: 10hrs 0mins
Which of the following is the most frequently cited primary benefit of integrating AI tools like ChatGPT into an English teacher's workflow?
It completely replaces the need for human teacher-student interaction.
It eliminates the requirement for teachers to possess deep subject-matter expertise.
It guarantees the accuracy of all generated lesson content.
It increases teacher efficiency and reduces time spent on administrative and material creation tasks.
In the context of using Generative AI for creating ELT materials, what does the term 'Prompt Engineering' primarily refer to?
The ethical guidelines for using AI in the classroom.
The automated process by which AI generates text based on a minimal keyword input.
Designing the visual interface of the AI tool.
The skill of crafting detailed and specific instructions to achieve a high-quality, relevant AI output.
When an ELT teacher uses an AI tool to generate a reading passage and a set of accompanying activities tailored to a student's specific Common European Framework of Reference (CEFR) level, the teacher is primarily using AI to facilitate:
Teacher-centered instruction.
Linguistic simplification.
Differentiated instruction.
Homogeneous instruction.
A significant ethical and content challenge of using AI for lesson plan creation in ELT is 'algorithmic bias.' This refers to the risk that the AI's output might:
Rely too heavily on outdated or historically biased linguistic and cultural data, leading to misrepresentation.
Require payment (subscription fees) for its use.
Be easily detected as AI-generated by plagiarism checkers.
Be imposible for higher-level language learners to distinguish between real work and IA generated data.
When assessing speaking skills, an AI tool that utilizes Speech Recognition Technology (SRT) is best suited to provide students with immediate feedback on which area?
The depth of culturally relevant knowledge demonstrated in the response.
Pronunciation, fluency, and intonation.
The appropriateness of the non-verbal communication and body language.
Pragmatic use of language in a complex, real-world context.
In the TPACK framework (Technological, Pedagogical, and Content Knowledge), which type of knowledge is most critical for a teacher to possess when refining an AI-generated lesson plan?
Pedagogical Content Knowledge (PCK).
System Knowledge (SK).
Hardware Knowledge (HK).
Technological Knowledge (TK).
Which strategy is a key best practice for ELT teachers to mitigate the risk of student over-reliance on AI for production tasks (like writing essays)?
Implementing a partial ban on all digital devices in the classroom.
Assigning only standardized, high-stakes written exams.
Designing process-based assignments that require real-time, in-class, interaction and evidence.
Increasing the required word count for all writing assignments.
An AI-powered adaptive learning platform (ALP) primarily enhances ELT by doing what?
Providing the same static curriculum to all students for uniformity in learning.
Delivering content and adjusting the level of task difficulty based on the learner's real-time performance data.
Focusing exclusively on developing advanced vocabulary skills.
Generating all classroom administrative reports automatically for the teacher.
Which specific data privacy risk is most pertinent to an ELT instructor using a third-party AI platform that processes student writing samples for grammar correction and feedback?
The potential for the AI to incorrectly flag native English speakers for plagiarism.
The platform's inability to accurately track the time students spend on their assignments.
Increased energy consumption due to the AI's complex deep learning processes.
FERPA/GDPR violations if personally identifiable information (PII) is used for the AI company's commercial training dataset without explicit consent.
Research on generative AI in foreign language lesson planning indicates that increasing prompt complexity and context does not guarantee a proportional increase in lesson plan quality due to which inherent limitation of LLMs?
The AI's inability to process input longer than 500 words, leading to truncation.
The exclusive reliance of the models on synchronous, real-time data input.
The variability of the output, which can generate conflicting pedagogical practices (e.g., favoring scripted dialogue over communicative tasks) based on historical training data.
The AI's mandatory imposition of a single, uniform citation style (e.g., APA 7th edition).
An AI-powered conversational agent (chatbot) is utilized by an ELT student to practice negotiating an offer. This use case primarily targets the development of which language competency dimension from a socio-cultural perspective?
Strategic competence and pragmatic fluency in simulated, low-stakes communication.
Metalinguistic awareness and explicit grammar rules.
Accuracy of written academic discourse and cohesive device usage.
Automated data analysis of large literary corpora (Distant Reading).
The professional responsibility of an ELT instructor to mitigate 'system hallucination' in AI-generated materials is best described as an ongoing process of:
Delegating all fact-checking duties to a school-appointed technical assistant.
Restricting AI usage only to tasks involving creative fiction and poetry.
Cross-referencing factual claims and source citations against authoritative human-vetted databases and professional knowledge.
Limiting the AI's response resources to limit the interaction and usage with students in real time.
Which pedagogical concept is most directly served by using an AI tool to generate a YouTube video transcript with vocabulary gap-fills, comprehension questions, and an updated list of synonyms, all leveled for a B2 class?
The implementation of the Audiolingual Method.
The necessity of the silent period in second language acquisition.
Leveraging authentic materials for differentiated input and enhanced receptive skills (listening/reading).
Total Physical Response (TPR) methodology.
The concept of Teacher Agency in the AI era emphasizes that the instructor must retain which critical function, even when using AI to draft instructional materials?
The authoritative role in evaluating, adapting, and integrating AI outputs to ensure they align with the instructor's pedagogical philosophy and local curriculum goals.
Solely focusing on administrative tasks since all lesson planning is automated.
Strict adherence to the first AI-generated draft to maximize efficiency gains.
The exclusive use of AI tools for assessment to eliminate subjective human bias.
When an ELT teacher observes that a Generative AI model tends to produce writing exercises that consistently feature only American English spelling and cultural references, this is an example of a bias stemming from:
A limitation of the Teacher's prompt, which failed to specify 'British English'.
The imbalance in the AI's training data corpus, which overrepresents certain dialects and cultural contexts (e.g., US-centric content).
A fundamental philosophical principle of the LLM architecture.
The AI's adherence to the Common European Framework of Reference (CEFR).
AI-driven personalized learning systems are most valuable in integrated ELT settings because they primarily provide teachers with the granular data-driven insights necessary to assess and respond to:
Individualized mastery gaps and attainment targets across specific skills
The economic cost and maintenance schedule of the AI software subscription.
The students' preferences for online materials.
Macro-level trends in global language proficiency test scores over the last decade.
The architecture of Deep Neural Networks is essential to Generative AI because it allows the model to process language through multiple layers, enabling the capability to:
Automatically regulate classroom temperature and lighting systems.
Understand the semantic and syntactic relationships between words in long contexts, mimicking human-like linguistic comprehension and generation.
Run entirely without any pre-trained data or human supervision.
Perform simple keyword searches with perfect accuracy.
From a classroom management perspective, a teacher using AI for lesson preparation should prioritize their human input for which of the following tasks to maintain pedagogical effectiveness?
Integrating the AI-generated activity into a pre-existing communicative task sequence that requires student-to-student interaction.
Creating a list of target vocabulary from a text as a complementary resource in class.
Generating varied True/False questions for a listening activity.
Transcribing a video that will be used for a comprehension task.
When assessing AI-generated lesson content, why is checking for a potential historical bias in pedagogical methodology critical for teachers of integrated approaches?
Historical bias primarily affects the accuracy of scientific facts, not language pedagogy.
The AI’s training data might inadvertently favor outdated practices over modern, research-supported integrated approaches.
It is necessary to confirm that the AI has correctly included references to all 20th-century language scholars.
Historical bias ensures the AI always recommends the oldest and most established teaching methods.
If a teacher uses an AI tool to automate the scoring of a written essay based on a predefined rubric, they are utilizing the AI's predictive capability. Which is the most likely output of this predictive model?
A list of all the source materials used to train the essay scoring model.
A newly generated essay on the same topic but at a higher proficiency level.
A numerical score or classification based on a probabilistic assessment of features learned from the training data.
A real-time, interactive dialogue with the student about the essay's content.
