Three NUS students have developed an AI-driven tool named Ren, designed to alleviate the burden of grading for educators while offering students detailed, high-quality feedback. This innovation emerged from the challenge faced by Senior Lecturer Lee Boon Kee, who spent six weeks marking assignments for 490 NUS computing students last semester—until the introduction of Ren, which reduced the process to just five minutes for an initial assessment. The tool, created by Wong Eu En, Justin Cheah, and Natasha Koh, is part of a broader trend of integrating artificial intelligence into educational settings to enhance efficiency and consistency.
Ren operates by analyzing submissions—whether handwritten or typed—and cross-referencing them against marking rubrics, syllabus content, and learning objectives provided by instructors. The AI generates preliminary grades and comprehensive feedback, which teachers then review, edit, and finalize before releasing to students. This hybrid model ensures that while the AI handles the bulk of the work, human oversight remains crucial for accuracy and nuance. Currently, Ren is being trialed at 11 institutions in Singapore, including the School of Science and Technology and NUS, with a planned full rollout at St Andrew’s Junior College in July. The tool is also being used in partnership with the Malay/Muslim self-help organisation Mendaki to offer free academic support to A-level students, aiming to assist around 600 learners in subjects such as literature, history, chemistry, and economics.
The integration of AI into education reflects a growing shift toward leveraging technology to improve pedagogical practices. In addition to Ren, the Singaporean Ministry of Education has introduced other AI-powered tools, such as Markly, which aids in providing feedback, and Authoring Copilot, which assists in generating lesson plans and activities. These tools exemplify how AI can streamline administrative tasks, allowing educators to focus more on personalized instruction and student engagement.
However, the rise of AI in education is not without its challenges. As noted in a separate report, the misuse of AI has led to significant issues, including the proliferation of scams. One notable case involves a fabricated news story that falsely claimed to feature a former transport minister, S Iswaran, discussing a secret investment fund. The story, complete with manipulated images and misleading claims, was used to lure individuals into investing money. Such incidents highlight the dual-edged nature of AI, capable of both enhancing educational experiences and facilitating fraudulent activities.
In response to the increasing prevalence of scams, Singapore authorities have launched operations targeting individuals involved in fraudulent activities. Recently, a two-week police operation resulted in the investigation of 230 suspects, including a 16-year-old, accused of participating in scams that caused approximately $9 million in losses. These individuals are being probed for offenses ranging from cheating and money laundering to operating unlicensed payment services. The legal consequences for involvement in such activities range from substantial fines to mandatory caning, underscoring the severity with which such crimes are treated.
As the landscape of education continues to evolve with technological advancements, the balance between automation and human judgment remains critical. Developers like Wong emphasize that Ren is designed to learn from teacher inputs, adapting to their styles and preferences over time. This adaptive capability allows for a more tailored experience, ensuring that the AI's suggestions align with the expectations of educators. Furthermore, the system provides detailed analytics, helping teachers identify trends and areas requiring improvement, thus supporting continuous learning and growth.
The ongoing developments in AI within education underscore the potential for transformative change, yet they also necessitate vigilance against the misuse of such technologies. As the use of AI expands, so too does the responsibility to ensure its ethical application, safeguarding both educational integrity and societal trust.
3 reports
The Straits TimesParty-aligned🔒CenterFactual 95Objective 985 days ago Three NUS students build AI tool to tackle teachers’ marking load, give quality feedbackThree National University of Singapore (NUS) students—Wong Eu En, Justin Cheah, and Natasha Koh—developed an AI tool named 'Ren' designed to assist educators in grading student assignments more efficiently and consistently. The tool analyzes student submissions using predefined rubrics, syllabi, and learning objectives, generating initial grades and feedback that teachers can review and modify before sharing with students. Ren has been piloted in 11 educational institutions across Singapore and is set for a full rollout at St Andrew’s Junior College in July. The AI system aims to improve grading consistency, reduce workload for educators, and provide more detailed and uniform feedback to students. Additionally, Ren has partnered with the Malay/Muslim self-help organization Mendaki to offer free academic support to A-level students.
Bias read (Center): The article discusses the development and implementation of an AI-based educational tool focused on improving efficiency and consistency in grading. There is no mention of political figures, policies, or contentious issues. The content remains neutral, focusing on technological innovation in the教育领域
Why these scores (Factual 95 · Objective 98): The article presents a clear and detailed account of an AI tool developed by NUS students to assist with academic marking. All claims are supported by specific examples and names, and there is no indication of bias or speculative language. The reporting is highly objective and factual.
Channel NewsAsia (CNA)State / PublicCenterFactual 75Objective 802 days ago Commentary: The true cost of AI scams isn’t financial - it's humanThe article describes an instance of AI-generated fraud targeting the author, involving a fabricated story claiming to feature a former Singaporean transport minister discussing a secret investment fund. The fake article included falsified images of the author and the minister, along with misleading financial claims. The fraudulent content spread via social media and was later blocked under Singapore's Online Criminal Harms Act. The author experimented with Gemini AI to understand how such scams could be created, revealing potential prompts for generating deceptive content. The piece highlights broader concerns about AI-powered scams becoming increasingly sophisticated, with implications for public trust and financial security.
Bias read (Center): While the article discusses a politically sensitive issue involving a former minister and public figures, the framing remains balanced, focusing on the technical aspects of AI-generated fraud rather than taking a partisan stance. The emphasis is on the mechanism of deception and its societal impact,
Why these scores (Factual 75 · Objective 80): The article describes a fabricated story about the author being involved in a scam involving former Transport Minister S Iswaran. While the narrative is presented as a commentary, it lacks verifiable evidence or third-party confirmation of the events described. However, it aligns with general patter
The Straits TimesParty-aligned🔒Center2 days ago 16-year-old among 230 under probe over scams involving $9 million in lossesSingaporean authorities have arrested 230 individuals, including a 16-year-old, as part of a two-week investigation into scams that caused approximately $9 million in losses. The suspects, aged between 16 and 77, are accused of involvement in various types of fraud, including e-commerce scams, impersonation schemes, and unlicensed payment services. The police stated that those found guilty could face fines, imprisonment, or caning depending on the severity of their involvement. The operation was conducted by the Commercial Affairs Department and local police divisions. Authorities emphasized that all individuals linked to these crimes would be held accountable, with additional measures like restricting banking access for those involved in facilitating scams.
Bias read (Center): The article reports on law enforcement actions against scam activities, which are criminal matters rather than directly political. It provides factual details about the investigation, legal consequences, and public warnings without apparent ideological framing or biased language.
★
Keep the news honest.
ObjectiveNews is reader-funded and ad-free — we show you the bias instead of hiding it. Support independent journalism for €5/month.
Become a Supporter