#Stem

A child’s confidence can hinge on a single sentence. A husband’s offhand remark that his daughter is “not talented” can wound more than a moment of pride for the family photo. That uncomfortable scene, echoed in a popular advice piece about a parent who openly belittles his daughter, sits at the center of a growing conversation about how parents talk about talent, failure, and growth. New research in child development suggests a simple but powerful idea: praising effort, strategies, and learning processes—rather than labeling a child as inherently talented—can help girls and boys develop resilience, curiosity, and higher achievement over time. For Thai families navigating pillars of respect, harmony, and family pride, these findings offer a practical path to strengthen children’s motivation without compromising cultural values.

Across Bangkok’s gleaming tech districts and Thailand’s rural villages, a widening educational gap threatens the nation’s digital ambitions. Global analyses show many schools still miss basic computer science instruction, leaving millions unprepared for an economy shaped by artificial intelligence and automation. In Bangkok, a thriving tech scene contrasts with remote provinces where students have far fewer opportunities to develop computational skills.

Data from international assessments reveal that only about half of public high schools in advanced economies provide meaningful computational thinking education, and rural schools face the strongest barriers. In Thailand, urban centers such as Bangkok and Chiang Mai generally offer stronger technology programs, while northeastern provinces and southern fishing communities lag behind. This gap risks turning Thailand into a nation of digital consumers rather than creators, undermining the goal of becoming a regional technology hub.

A new report reveals that half of high schools in New York’s Capital Region do not offer any computer science courses, sparking concern among educators, policymakers, and technology experts about whether students are being adequately prepared for an artificial intelligence-driven future. The findings, published by the Center for an Urban Future, highlight a pervasive gap in foundational technology education just as computational literacy becomes an increasingly essential skill for navigating tomorrow’s job market (Times Union).

In Bangkok’s gleaming technology districts and Thailand’s remote rural villages, a critical educational divide threatens the nation’s digital ambitions. Recent analysis of global education patterns reveals that vast numbers of schools worldwide—including half of all high schools in developed regions—fail to offer basic computer science instruction, leaving millions of students unprepared for an economy increasingly dominated by artificial intelligence and digital automation.

The Center for an Urban Future’s comprehensive report on New York State education exposes a troubling reality that mirrors challenges across Southeast Asia. Despite government rhetoric about digital transformation and Thailand 4.0 initiatives, foundational computational skills remain absent from most Thai classrooms. This educational gap threatens to create a generation of digital consumers rather than digital creators, potentially undermining Thailand’s ambitious plans to become a regional technology hub.

A pivotal debate is unfolding in Thailand: as AI tools increasingly generate code, does traditional computer science education still matter? Industry leaders say yes. They argue that formal CS study remains essential for developing deep computational thinking, robust problem-solving skills, and the ability to design reliable systems—capabilities that go beyond writing syntax. The message carries particular weight for Thailand’s ambitions to grow a resilient digital economy and for thousands of students charting technology careers in an AI-driven future.

Thailand’s students and educators grapple with a fundamental question as artificial intelligence transforms software development: Do traditional computer science degrees retain their value when AI tools can generate code automatically? Recent statements from OpenAI’s leadership provide decisive clarity on this debate, emphasizing that formal computer science education becomes more crucial, not less relevant, as AI reshapes the technology landscape. These insights carry particular significance for Thailand’s digital economy ambitions and the thousands of students considering technology careers in an AI-dominated future.

As artificial intelligence reshapes industries around the world, many students and parents in Thailand and beyond wonder if traditional computer science (CS) degrees remain relevant. Recent remarks by the chairman of OpenAI, one of the leading players in the global AI revolution, offer a reassuring perspective: formal computer science education is still crucial—even as AI tools increasingly automate much of the coding process (Business Insider).

The debate centers on a major change in the way software is built. AI-assisted coding tools such as OpenAI’s Codex, Anthropic’s Claude Code, Cursor, and Replit are designed to let engineers write less code by simply instructing AI systems with prompts and then reviewing the generated output. The vision of a “vibe-coding” future, where coding is driven by natural language rather than technical syntax, is advancing rapidly. At Google, for example, chief executive Sundar Pichai recently revealed that AI now writes 30% of the company’s new code.

Generative AI is changing how we think about computing. Thai universities are reexamining core CS curricula to go beyond code toward computational thinking and AI literacy. Thailand’s goal to become a regional hub for digital innovation makes this shift particularly urgent for students and policymakers.

New discussions at major universities show a push to reassess core content. Faculty note that AI-powered tools can write code with near-human fluency, prompting questions about what fundamental skills remain essential. As global firms adopt these assistants, Thai institutions must align curricula with automated coding realities while preserving solid programming fundamentals.

Taiwan’s understated yet formidable rise in the global semiconductor industry is drawing international attention, as highlighted by recent coverage describing the island as Asia’s “secret Silicon island” (The Economist). This burgeoning reputation not only showcases Taiwan’s technical prowess but also signals significant implications for technology, education, and economics across the Asia-Pacific region—including Thailand.

The designation of Taiwan as a “secret Silicon island” underscores its status as the world’s most important center for advanced computer chip manufacturing. At the heart of this are homegrown giants such as TSMC (Taiwan Semiconductor Manufacturing Company), whose chips are indispensable for everything from smartphones and computers to cars and AI applications. In fact, TSMC controls more than half of the global semiconductor foundry market, producing chips for major international technology companies (Statista). While Silicon Valley in California has long served as the symbol of technological innovation, experts now acknowledge that Taiwan’s dominance in semiconductor fabrication puts it at the forefront of the global tech supply chain—a fact that remains underappreciated by much of the world.

Taiwan’s rise as a global semiconductor hub is drawing attention as a model for technology, education, and economic growth across Asia, including Thailand. Known for cutting-edge chip fabrication, Taiwan centers on homegrown leaders like TSMC, which supplies components for smartphones, computers, cars, and AI systems. Industry analyses show TSMC holds a dominant share of the global foundry market, underscoring Taiwan’s pivotal role in the tech supply chain.

For Thai readers, Taiwan’s ascent offers clear lessons. A strong focus on research, engineering skills, and heavy investment in higher education has created a steady talent pipeline. Partnerships between universities and industry provide students with practical experience, helping ensure a steady flow of skilled engineers. This model offers a contrast to ongoing efforts in Thailand to strengthen STEM education and deepen industry–university collaboration.

The computer science major, long regarded as a direct path to a lucrative tech career, needs a deep rebranding to reflect its true essence and purpose, according to the head of Android at Google. As artificial intelligence (AI) rapidly transforms software engineering, this call to rethink computer science studies resonates widely—including in Thailand, where STEM education has seen booming enrollment but faces uncertainty amid fast-changing job markets.

In a recent interview reported by Business Insider (businessinsider.com), Google’s Android chief, whose academic background is rooted in UC San Diego’s computer science program, argued that the discipline is often misunderstood as nothing more than training in coding—particularly Java programming. “It is thought of as, ‘go learn how to do Java coding,’” observed the Android leader, adding, “if that’s what you want to do, you don’t need a degree.” Instead, he described computer science as “the science…of solving problems.”

A top Android executive at Google argues that computer science should be reframed to emphasize solving real-world problems, not just teaching coding. As artificial intelligence accelerates software automation, Thai students, educators, and policymakers are reassessing which skills universities should prioritize.

Thailand’s education system has seen rising STEM enrollments under national plans to boost innovation and competitiveness. With AI increasingly handling routine programming tasks, educators stress the need for broader competencies. The Google executive describes CS as the science of designing solutions and building complex systems through teamwork and critical thinking, not merely learning Java or other languages.

A recent interview with a Google software engineer offers timely and practical advice for computer science students in Thailand and across the globe, emphasizing that securing an internship—even in a student’s first or second year—can be a crucial gateway to landing a future position at a top international tech firm. The engineer, who earned a full-time offer after interning with Google for two summers, reveals that the threshold for getting accepted into early-stage programs is considerably lower, providing an accessible pathway for aspiring students facing today’s competitive technology job market (Business Insider).

Claims that artificial intelligence (AI) could soon replace computer scientists are deeply misguided, according to the latest research published in The Conversation. As anxieties rise about the role of AI in the future of work, particularly in technical professions, this new analysis by a leading academic in the field emphasizes that computer science expertise will remain indispensable for years to come (The Conversation).

The recent surge of generative AI technologies, such as language models and coding assistants, has sparked widespread speculation – including among prominent economists and secondary school advisors – that computer science degrees may be rendered obsolete. These narratives have gained so much traction that some Thai students are reportedly being discouraged from pursuing computer science or software engineering, with fears that AI will make these careers redundant.

A growing body of research argues that artificial intelligence will not replace computer scientists. As worries about the future of work intensify, experts emphasize that deep computer science expertise will stay essential for years to come.

Generative AI has sparked speculation that many tech roles could vanish. Some Thai students, influenced by these narratives, worry that pursuing computer science or software engineering may be risky. Yet recent findings show CS involves much more than coding. It includes designing complex systems, creating new programming languages, and securing digital infrastructures.

A recent study suggests that mild, non-invasive brain stimulation may help math learning in university students. The technique, transcranial random noise stimulation (tRNS), targeted different brain regions to test effects on calculation and drill-based recall. Results showed that stimulating the dorsolateral prefrontal cortex (dlPFC) improved calculation tasks, while stimulation of the posterior parietal cortex (PPC) did not enhance drill-based remembering. The research involved 72 university students and indicates potential support for learners who struggle with mathematics, but experts caution that more evidence is needed before classroom use.

A groundbreaking study has found that applying mild electrical currents to the human brain—using a non-invasive method called transcranial random noise stimulation (tRNS)—can significantly improve mathematics learning in university students. The research, conducted by a team at the University of Oxford and reported by Live Science, hints at the potential of this technique for at-home use in the future, though experts caution that more evidence is needed before such tools become widespread or mainstream (Live Science).

A seismic shift is reverberating through the global scientific community as China firmly overtakes the United States to become the world’s leading science nation, marking a pivotal moment with profound ramifications for research, innovation, and international collaboration. This trend, explored in a recent commentary and substantiated by the latest data from the prestigious Nature Index, signals not just a changing of the guard but an acceleration of the gap in scientific output and influence between the two global superpowers.

A quiet revolution is reshaping global science. Asian nations are emerging as major engines of discovery, innovation, and technology. For Thailand, this shift offers a strategic chance to align with a rapidly expanding regional research ecosystem.

Recent assessments show Asia contributing more high-impact research across disciplines, especially in physical sciences, engineering, and technology. Universities and institutes invest heavily in infrastructure, talent development, and international collaborations, signaling a long-term reordering of global scientific power. Data from leading science evaluations indicate Asian institutions are expanding their output at impressive rates while traditional Western leaders face slower growth. Some Asian nations are generating substantially more research outputs than Western peers, reflecting coordinated national strategies and sustained investments in people and facilities.

A remarkable coalition of over 250 CEOs—including leaders from Microsoft, Airbnb, and Uber—has issued a joint call urging policymakers to make computer science and artificial intelligence (AI) education a mandatory part of school curricula in the United States. Their concerns arise as China directs children as young as six to attend formal AI classes, fueling fears that nations lacking such initiatives may fall dangerously behind in global technological competitiveness (Fortune).

A coalition of more than 250 top executives from global firms is urging policymakers to make computer science and artificial intelligence (AI) education a mandatory part of U.S. school curricula. The move comes as Beijing rolls out AI classes for younger students, sparking concerns that countries without similar programs may fall behind in tech leadership. This debate emphasizes the growing importance of foundational digital skills for the next generation.

In an open letter to lawmakers, tech leaders warned that in the age of AI, children should become creators, not just users. They estimate that universal tech education could unlock billions in economic potential and improve future wages for students across pathways, not limited to those who attend college. The message signals a broader push for early exposure to coding and AI concepts as a lever for long-term prosperity.

A surge in innovative educator-driven strategies is reshaping how computer science is taught in schools, as new research and classroom experiences reveal fresh methods to engage young learners and equip them for a digital future. A recent story from EdSurge highlights how a blend of professional learning and grassroots creativity is making computer science “click” not only for students, but for teachers with little or no prior technical background (EdSurge).

A wave of teacher-led innovations is reshaping how computer science is taught in schools. New studies and classroom stories show methods that engage students and prepare them for a digital future. A recent feature highlights how professional learning and grassroots creativity help teachers, even those without a strong tech background, make computer science feel approachable and relevant.

For Thai readers, the shift carries immediate relevance. Thailand aims to boost digital literacy and STEM skills among youth as the economy becomes more data-driven. The article follows Utah educators who advanced computational thinking through targeted professional development, weaving CS principles into the early grades and high school subjects. Their approach offers a practical blueprint for making CS accessible, sustainable, and meaningful across diverse classrooms.

A new era of digital inequality is emerging worldwide, as recent research reveals that artificial intelligence (AI) computing power is rapidly becoming concentrated in just a handful of countries and companies. This growing divide between AI “haves” and “have-nots” is set to disrupt economies, fuel geopolitical rivalries, and shape the scientific and social futures of entire nations, according to a major new investigation by Oxford University researchers and reporting by The New York Times (nytimes.com).