**Direction: In the passage given below there are 6 phrases given in bold.
Each blank has four alternative words given in options (1), (2), (3) and (4). You have to tell which will best suit the respective bank. Mark (5) as your answer if the phrase given in bold after the blank is your answer, i.e., 'No improvement required'.**
The rapid digitisation of the global education sector has shifted from a convenience to a structural necessity. With the sudden onset of generative Artificial Intelligence (AI), traditional pedagogical models are being completely overhauled. However, as institutions rush to integrate customised large language models into their curricula, they are confronting with a digital divide (A) that deepens existing socioeconomic disparities. For AI tools to truly democratise learning, developers must focus on localising content, rather than assuming a one-size-fits-all framework. Moreover, schools must be cautious about over-relying on automated grading engines, which often fail to assess critical thinking and tend to view unique perspectives like anomalies (B) in student writing.
Advocates argue that personalised AI tutors can offer real-time feedback, effectively functioning as a scalable equaliser for underprivileged classrooms. Yet, this optimistic outlook ignores the fact that millions of students still lack stable broadband access, rendering the promise of AI-driven equity to a distant dream (C). Educational boards must realise that technology should supplement, rather than supplant, human instruction. Instead of blindly procuring software licenses, administrations need to invest in training educators on how to leverage these tools responsibly (D). Only when teachers are empowered can technology transform classrooms into centres of active innovation, rather than spaces of passive consumption.
Furthermore, data privacy remains a monumental concern as ed-tech platforms quietly harvest vast troops of student behavioural analytics. Critics have raised the red flag over the lack of stringent guardrails (E) protecting minors from targeted algorithm manipulation. Without robust legislative frameworks, the commercialisation of student data could lead to systemic profiling. If governments fail to intervene decisively at this junction, the commercial interests of tech conglomerates will inevitably triumph over student welfare (F), cementing inequities for generations to come.
Which of the following words most appropriately replaces the blank labelled (E)?
- AOption (a)
raised a red flag over the lack of stringent guardrails
- BOption (b)
risen the red flag over the lack of stringent guardrails
- COption (c)
raised red flags across the lack of stringent guardrails
- DOption (d)
aroused the red flag over the lack of stringent guardrails
- EOption (e)
No replacement required
View answer & explanationHide answer & explanation
Correct answer
No replacement required
Why this answer is correct
The correct answer is 'No replacement required'.
Key Points
- The sentence discusses critics expressing alarm or warning regarding the lack of safety measures in student data privacy.
- The idiom "raise the red flag" (or "raise a red flag") means to signal a warning that something is wrong or potentially dangerous.
- The verb "raised" is the past tense of the transitive verb "raise", which correctly takes the object "the red flag".
- The preposition "over" is appropriately used to indicate the subject or reason for the concern.
- Since the phrase as written in the passage is grammatically sound and idiomatically correct, no changes are needed.
Therefore, the correct answer is 'Option E'.
Complete Passage: The rapid digitisation of the global education sector has shifted from a convenience to a structural necessity. With the sudden onset of generative Artificial Intelligence (AI), traditional pedagogical models are being completely overhauled. However, as institutions rush to integrate customised large language models into their curricula, they are confronted with a digital divide that deepens existing socioeconomic disparities. For AI tools to truly democratise learning, developers must focus on localising content, rather than assuming a one-size-fits-all framework. Moreover, schools must be cautious about over-relying on automated grading engines, which often fail to assess critical thinking and tend to view unique perspectives as anomalies in student writing.
*Advocates argue that personalised AI tutors can offer real-time feedback, effectively functioning as a scalable equaliser for underprivileged classrooms. Yet, this optimistic outlook ignores the fact that millions of students still lack stable broadband access, rendering the promise of AI-driven equity a distant dream. Educational boards must realise that technology should supplement, rather than supplant, human instruction. Instead of blindly procuring software licenses, administrations need to invest in training educators on how to leverage these tools responsibly.
Only when teachers are empowered can technology transform classrooms into centres of active innovation, rather than spaces of passive consumption.*
Furthermore, data privacy remains a monumental concern as ed-tech platforms quietly harvest vast troops of student behavioural analytics. Critics have raised the red flag over the lack of stringent guardrails protecting minors from targeted algorithm manipulation. Without robust legislative frameworks, the commercialisation of student data could lead to systemic profiling. If governments fail to intervene decisively at this junction, the commercial interests of tech conglomerates will inevitably triumph over student welfare (F), cementing inequities for generations to come.
Additional Information
- Risen (Option B): "Rise" is an intransitive verb (it does not take an object), so it cannot be used with "the red flag".
- Across (Option C): The preposition "across" does not correctly link the act of raising a warning to the specific subject of the concern; "over" or "regarding" is preferred.
- Aroused (Option D): While "arouse" is a transitive verb, it means to evoke a feeling or response (e.g., arouse suspicion) and does not fit the specific "red flag" idiom.