#EdTech

College professors across the United States are rapidly adopting generative artificial intelligence tools such as ChatGPT to prepare course materials, grade assignments, and even provide student feedback—a trend sparking frustration and debate among students, who question whether AI-generated content shortchanges the human value they expect from their education. The issue was brought into sharp public focus by recent student complaints at top-tier institutions, including a widely discussed case at Northeastern University, fueling a broader conversation about ethics, transparency, and educational quality in the era of AI-enhanced teaching.

Yale University has announced a major change to its computer science curriculum, ending the long-standing practice of allowing students to bypass the “Introduction to Computer Science” course by passing a waiver exam. From the fall of 2025, all students aspiring to enroll in the pivotal “Data Systems and Programming Techniques” (CPSC 2230) course must first complete either “Introduction to Computer Science” (CPSC 2010) or “Introduction to Information Systems” (CPSC 2000), closing a pathway that many advanced students have used for years.

A growing number of college students in the United States are deliberately inserting typos and stylistic “flaws” into essays generated by artificial intelligence (AI) chatbots, in a strategic move to bypass AI-detection tools. This evolving trend is not only reshaping the dynamics of academic integrity but also highlighting deeper questions regarding the role of technology, creativity, and self-discipline within higher education institutions. As Thailand universities and educators closely monitor international developments in AI-assisted learning, the latest research underscores the urgency for reassessing the relationship between students, digital tools, and academia’s expectations (Yahoo News, 2025).

A wave of educational innovation is breaking down barriers to computer science, making coding more accessible to both students and teachers globally, with direct relevance to Thailand’s evolving education landscape. At the 2025 Future of Education Technology Conference (FETC) in Orlando, experts highlighted the impact of block-based programming tools and a shift in teaching philosophy that could help close Thailand’s digital divide and inspire the next generation of coders.

Across the world, computer science is increasingly recognized as a core future skill. However, many Thai students face steep entry barriers: English-based coding languages, lack of resources, and a shortage of trained teachers. These challenges mirror wider global concerns, but new research and classroom strategies suggest a promising path forward. Block-based programming—where users snap together visual code blocks to build programs—eliminates the intimidating syntax of traditional text-based coding. According to the director of computer science education at VEX Robotics, block-based languages support learning in students’ native tongues and reduce linguistic obstacles: “When you do traditional text-based programming like Pascal, C++, or Python, you’re essentially programming in English, but with block-based programming, you can do it with Chinese, Spanish, Arabic or your native language. It reduces a barrier for them to just get their steps in and say, ‘Hey, I’m able to program’” (PBS NewsHour Classroom).

Generative artificial intelligence, once viewed with suspicion and outright bans in schools, is now increasingly seen as a vital educational tool by K-12 teachers across the United States, according to the latest reporting and research. This evolution from nuisance to necessity signals a pivotal moment in education, with implications and potential lessons for Thailand as AI reshapes global classroom practices. (washingtontimes.com)

The discussion around AI in primary and secondary education has matured rapidly since 2022, when tools like ChatGPT first appeared on the academic scene. Initially, schools and teachers were quick to ban generative AI platforms due to fears of increased cheating, misinformation, and a perceived threat to traditional pedagogies. However, facing the realities of digital transformation, educators soon realized that AI technologies could be harnessed for positive learning outcomes—if they were strategically and ethically integrated into curricula.

A global coalition of more than 250 CEOs, including leaders of top technology and business firms such as Microsoft, Airbnb, Salesforce, and LinkedIn, has publicly called for artificial intelligence (AI) and computer science (CS) classes to become standard graduation requirements in high schools across the United States. Organized by the nonprofit Code.org and the CSforALL coalition, the letter—published on May 5, 2025—marks the start of the “Unlock8” campaign, which aims to ensure all students are equipped with foundational digital skills for the rapidly evolving AI-driven economy (Axios; PR Newswire).

As parenting in the digital age becomes increasingly entangled with technology, a new book challenges parents not to reject digital tools, but to rethink their relationship with them in ways that serve both themselves and their communities. Amanda Hess’s “Second Life: Having a Child in the Digital Age,” recently discussed in Mother Jones, offers an incisive examination of the powerful hold technology exerts on modern parenting, and ultimately proposes a gentler, more honest approach to navigating the inevitable blend of screens, apps, and algorithms that now accompany family life (Mother Jones).

As artificial intelligence (AI) rapidly reshapes economies and societies worldwide, leading educators are warning that Thai students must urgently gain broader access to computer science education to thrive in the digital future. The international debate, exemplified by a recent analysis published in The Desert Sun, argues that understanding computer science is now as fundamental as reading, with AI’s pervasive influence touching nearly every industry and aspect of daily life (desertsun.com).

In the digital age, Thai parents are bombarded with advice about using parental controls, but new research and expert consensus confirm an unsettling truth: no matter how diligent parents are, technology’s current safeguards fall short of genuinely protecting children online. This reality, revealed by recent studies and policy debates, underscores a growing call for government and industry accountability, echoing urgent lessons from the United States that resonate strongly with Thailand’s increasingly tech-centric society (Inquirer).

Cutting-edge research has pulled back the curtain on the brain’s secret playbook for learning, unveiling rules that govern how we master new skills and knowledge—a discovery with profound implications for both education and artificial intelligence (AI). Scientists, backed by the U.S. National Institutes of Health (NIH), harnessed revolutionary synapse imaging technology to observe real-time changes among the brain’s neurons during learning, uncovering patterns that promise new understanding of how we become smarter—with practical lessons for schools in Thailand and emerging AI technologies worldwide SciTechDaily.

A groundbreaking study from MIT is shaking up decades of neuroscience wisdom, revealing the brain’s “object recognition” pathway may also play a significant role in understanding spatial information—an insight that could revolutionize our approach to learning, artificial intelligence, and brain health around the world, including here in Thailand.

For years, scientists have believed the ventral visual stream, a key pathway in the human brain, is dedicated to recognizing objects—like a Starbucks cup on a Bangkok Skytrain or a rambutan vendor at the Chatuchak Market. This idea shaped not just neuroscience textbooks, but also inspired computer vision systems now used in everything from smartphones to smart cars. Yet, new research led by MIT graduate student Yudi Xie suggests the story is far more nuanced. Their findings, presented at the prestigious International Conference on Learning Representations, show that when deep learning models are trained not only to identify objects, but also to understand spatial features like location, rotation, and size, these models mirror neural activity in the ventral stream just as accurately as traditional object recognition models. In other words, the ventral stream might be wired for much more than recognizing faces or products—it could be a multifaceted toolkit for seeing and interacting with the world.