logo
Google developing Samsung DeX-like desktop mode for Android: Details here

Google developing Samsung DeX-like desktop mode for Android: Details here

Expected to roll out with Android 16, the desktop mode will allow eligible smartphones to deliver connected external displays in to a full-fledged PC-like experience
New Delhi
Google is reportedly developing a desktop mode for Android devices that will allow eligible smartphones to deliver a PC-like experience when connected to external displays, similar to Samsung's DeX. According to 9to5Google, citing Android Authority, the new feature will enable users to interact with a desktop-style interface via monitors or TVs.
The report highlights that Google introduced DisplayPort mirroring for Pixel devices with Android 14 QPR3, offering basic screen projection. This was followed by desktop windowing on the Pixel Tablet in Android 15 QPR1 (developer preview). These two features are now being integrated in Android 16 beta, which introduces full desktop windowing support on secondary displays.
Android Authority demonstrated the feature using a Pixel 8 Pro connected to a laptop. The desktop interface showcased a taskbar with pinned and recent apps, launcher access, and three-button navigation on the right.
The top of the screen displayed time and status bar icons. Pulling down revealed a dual-column Quick Settings and notifications panel—reminiscent of tablet and laptop interfaces. Apps can be resized, moved, and used side-by-side, with full keyboard and trackpad support. Notably, the phone can continue to be used independently while desktop mode is active.
This mode closely mirrors Samsung's DeX, which also enables a desktop-like environment when a smartphone is connected to an external display. The feature is expected to be rolled out with Android 16, which is due for launch soon.
First Published: May 05 2025 | 4:52 PM IST
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Tablet sales sail smooth on 5G wave; India market grows by 20% QoQ in April-June
Tablet sales sail smooth on 5G wave; India market grows by 20% QoQ in April-June

Economic Times

time24 minutes ago

  • Economic Times

Tablet sales sail smooth on 5G wave; India market grows by 20% QoQ in April-June

Synopsis India's tablet market experienced a 20% growth in Q2 2025, fueled by 5G-enabled devices and vendor channel expansion. Apple dominated with a 30% market share, driven by strong iPad 11 series demand. Samsung, Lenovo, Xiaomi, and OnePlus followed, catering to diverse segments. CMR forecasts continued growth, while Canalys predicts a slight contraction for the year. ETTelecom New Delhi: India's tablet market grew 20% quarter-on-quarter in the April-June quarter of 2025, driven by greater availability of fifth-generation (5G)-enabled devices and channel expansion by top vendors, according to a report released by CyberMedia Research (CMR).The report said 5G tablets remained the key growth catalyst, accounting for 95% of shipments year-on-year, as Indians adopt next-generation connectivity. Apple led the tablet market with a 30% volume share as its shipments rose by 10% year-on-year in Q2 2025. The iPhone and iPad maker, however, had a 33% share in the corresponding quarter last performance was "supported by a 78% quarter-on-quarter and 10% year-on-year growth", CMR said, adding that its shipments were driven by a strong demand for the newly launched iPad 11 series, which accounted for 70% of Apple's total shipments during the quarter, alongside improved availability across both online and offline channels. Apple was followed by Samsung with a 27% share, Lenovo (16%), Xiaomi (15%) and OnePlus (6%), according to CMR. For Samsung, its broad portfolio enabled it to sustain performance across both affordable and enterprise segments, while Lenovo benefited from demand in the education segment, and Xiaomi had competitive value-for-money tablet offerings combined with strategic expansion across online and offline retail channels."India's tablet market is advancing along two complementary growth paths-value-for-money and premium," said Menka Kumari, senior analyst-industry intelligence group (IIG), CMR. "The strong double-digit growth in the value-for-money segment highlights robust demand from students, gig workers and value-conscious users seeking reliable performance, and new compelling Android value-for-money tablets from brands, such as Xiaomi and OnePlus."She added that the premium segment, led by Apple and Samsung, is seeing heightened traction from professionals and "ecosystem loyalists who prioritise seamless integration, security and superior experience".The research firm has forecasted a 10-15% growth for the tablet market in 2025. Canalys has separately forecasted that tablet shipments are expected to contract by 8%."As we move into the festive quarter-a traditionally strong period for consumer electronics-CMR's analysis points to a sustained momentum and consistent growth, driven by demand from both urban centres and the expanding base of Aspirational India," Kumari said.

Pixel 10 Pro Fold tipped to be first foldable with IP68 dust and water resistance
Pixel 10 Pro Fold tipped to be first foldable with IP68 dust and water resistance

Mint

time37 minutes ago

  • Mint

Pixel 10 Pro Fold tipped to be first foldable with IP68 dust and water resistance

Google's upcoming Pixel 10 series is set to be unveiled on 20 August, and fresh reports suggest the Pixel 10 Pro Fold could break new ground in the foldable market. According to a report from WinFuture, the handset is expected to be the first foldable smartphone to carry an IP68 rating for dust and water resistance. Reportedly, the IP68 classification indicates full protection against dust ingress and the ability to withstand submersion in water, typically up to 1.5 metres for around 30 minutes. While the exact durability will depend on manufacturer specifications, the standard is considered a significant upgrade over current foldable devices. For comparison, Samsung's Galaxy Z Fold 7 has an IP48 rating, while the Pixel 9 Pro Fold offers IPX8 protection, which guards against water but not dust. This latest leak adds weight to earlier reports from June and July, both suggesting Google had reached the IP68 benchmark. The WinFuture report also points to a storage upgrade, with the Pixel 10 Pro Fold moving from UFS 3.1 to the faster UFS 4.0 standard. While the performance jump may not be dramatic, it is expected to improve read and write speeds, contributing to a smoother user experience. Full details of the Pixel 10 line-up will be confirmed during Google's launch event next week. Ahead of the official announcement, reports have also surfaced revealing the expected pricing for all models in India, suggesting there may be no increase compared to last year's Pixel 9 lineup. According to a report by SmartPrix, the standard Google Pixel 10 could be priced at Rs. 79,990 for the sole 12GB RAM + 256GB storage variant. The Pixel 10 Pro and Pixel 10 Pro XL are expected to cost Rs. 1,09,999 and Rs. 1,24,999, respectively. Meanwhile, the Pixel 10 Pro Fold could retail at Rs. 1,72,999, with only one configuration available. The report also notes that Google may offer bank discounts on all models, although further details are likely to be confirmed at launch. If these figures are accurate, the Pixel 10 series will be positioned in the same price range as the 2024 Pixel 9 series.

The future of learning: AI that makes students think harder, not less
The future of learning: AI that makes students think harder, not less

The Hindu

time2 hours ago

  • The Hindu

The future of learning: AI that makes students think harder, not less

For years, educators have watched with growing concern as Artificial Intelligence tools like ChatGPT has transformed student behaviour in ways that seemed to undermine the very essence of learning. Students began copying and pasting AI responses, submitting machine-generated essays, and bypassing the mental effort that builds genuine understanding. But a quiet revolution is now underway in classrooms around the world—one that promises to transform AI from an academic shortcut into a powerful thinking partner. The crisis of instant answers The numbers tell a troubling story. A 2023 survey revealed that 30% of college students admitted to using AI to complete work they didn't fully understand, highlighting a critical disconnect between AI assistance and genuine learning. The problem isn't AI's presence in education—it's how these tools have been designed. Educational experts observe that most AI tools entering classrooms today are optimized for output rather than learning. These systems excel at generating essays, solving complex problems, and providing comprehensive explanations—capabilities that inadvertently encourage academic shortcuts. Traditional AI operates as sophisticated answer engines, designed to be helpful by providing immediate solutions. While this approach serves many purposes in professional settings, it fundamentally misaligns with educational goals. Learning requires struggle, reflection, and the gradual construction of understanding—processes that instant answers can circumvent entirely. The Socratic solution The answer lies in reimagining AI as a Socratic partner rather than an oracle. This revolutionary approach, exemplified by innovations such as Claude's Learning Mode, GPT-4's enhanced reasoning capabilities, and Google's Bard educational features, along with similar tools being developed across the education technology sector, transforms AI from a source of answers into a facilitator of inquiry. Instead of responding to 'What caused the 2008 financial crisis?' with a comprehensive explanation, a Socratic AI might ask: 'What economic factors have you already considered?' or 'Which indicators do you think played the most significant role?' This approach extends beyond economics into other critical fields. In healthcare education, rather than immediately diagnosing a patient case study, AI might prompt: 'What symptoms are you prioritizing in your assessment?' or 'Which differential diagnoses have you ruled out and why?' In finance training, instead of providing investment recommendations, AI could ask: 'What risk factors are you weighing in this portfolio decision?' or 'How do current market conditions influence your analysis?' This method draws from centuries of educational theory. Socratic questioning has long been recognized as one of the most effective ways to develop critical thinking skills. By prompting learners to examine their assumptions, articulate their reasoning, and explore alternative perspectives, it builds the intellectual muscles that passive consumption cannot develop. Early adopters see promising result Several major institutions are already pioneering this approach with remarkable results. Northeastern University's deployment of AI across 13 campuses, affecting over 50,000 students and staff, demonstrates the scalability of thoughtful AI integration. The London School of Economics and Champlain College are similarly experimenting with AI tools that enhance rather than replace critical thinking. Researchers have found that when students use AI as a thinking partner rather than an answer source, they develop stronger foundational understanding before engaging with more complex classroom discussions. Educational institutions report that students arrive in class better prepared with more focused, sophisticated questions. These early implementations reveal several crucial success factors: Ethical boundaries: Effective educational AI must be programmed to refuse requests that undermine learning integrity. This isn't just content filtering—it requires AI systems designed with educational principles at their core. Faculty integration: Success requires AI tools that complement rather than replace instructors. The most effective implementations support teachers by helping students engage more meaningfully with course material. Student preparation: When properly introduced to these tools, students quickly adapt to using AI as a collaborative thinking partner rather than a homework completion service. The technology behind thinking Creating effective AI tools for critical thinking requires careful consideration of both technical and pedagogical factors. Educational AI is being built with what developers call a 'Constitutional AI Framework'—explicit ethical guidelines that prioritize learning over convenience, embedded in the model's core reasoning rather than added as superficial filters. These new systems feature adaptive questioning that adjusts based on student responses, becoming more sophisticated as learners demonstrate greater mastery. Multi-modal interaction capabilities support various learning preferences through text, voice, visual, and interactive elements, while strict privacy protections ensure student data remains secure. Implementation across levels The Socratic AI approach shows promise across different educational stages: K-12 Education: Elementary students engage with AI tools that ask simple 'why' and 'how' questions to build foundational inquiry skills. Middle schoolers work with more sophisticated questioning that introduces multiple perspectives and evidence evaluation. High school students use advanced critical thinking tools that support research, argumentation, and complex problem-solving. Higher education: Undergraduate programs use AI tools that facilitate deep learning in specific disciplines while maintaining academic integrity. Graduate students work with research-focused AI that helps develop original thinking and methodology. Professional schools employ AI tools that simulate real-world problem-solving scenarios and ethical decision-making. Corporate training: Leadership development programs use AI tools that challenge assumptions and facilitate strategic thinking. Technical training incorporates AI that guides learners through complex problem-solving processes. Compliance training features AI that helps employees think through ethical scenarios and regulatory requirements. Measuring success beyond test scores Traditional educational metrics—standardized test scores, grade point averages, and completion rates—may not capture the full impact of AI tools designed for critical thinking. These conventional measures often emphasize knowledge retention and procedural skills rather than the deeper cognitive abilities that Socratic AI aims to develop. Instead, institutions are pioneering new assessment approaches that evaluate the quality of thinking itself, recognizing that the most important educational outcomes may be the least visible on traditional report cards. Depth of questioning: Educational researchers are tracking whether students' progress from surface-level inquiries to more sophisticated, multi-layered questions that demonstrate genuine curiosity and analytical thinking. Rather than asking 'What happened?' students begin posing questions like 'What factors contributed to this outcome, and how might different circumstances have led to alternative results?' Assessment tools now measure question complexity, the frequency of follow-up inquiries, and students' ability to identify what they don't yet understand. Advanced AI systems can analyse the sophistication of student questions in real-time, providing educators with insights into developing intellectual curiosity that traditional testing cannot reveal. Argumentation quality: Modern assessment focuses on students' ability to construct well-reasoned arguments supported by credible evidence, acknowledge counterarguments, and build logical connections between premises and conclusions. Evaluators examine whether students can distinguish between correlation and causation, recognize bias in sources, and present balanced analyses of complex issues. New rubrics assess the strength of evidence selection, the logical flow of reasoning, and students' ability to anticipate and address potential objections to their positions. This approach values the process of building an argument as much as the final conclusion, recognizing that strong reasoning skills transfer across all academic and professional contexts. Transfer or learning: Perhaps the most crucial indicator of educational success is students' ability to apply critical thinking skills across different subjects, contexts, and real-world situations. Assessment tools now track whether a student who learns analytical techniques in history class can apply similar reasoning to scientific methodology, business case studies, or personal decision-making. Educators observe whether students recognize patterns and principles that span disciplines, such as understanding how statistical reasoning applies equally to social science research and medical diagnosis. This transfer capability indicates that students have internalized thinking processes rather than merely memorized subject-specific content. Metacognitive awareness: Advanced educational assessment now includes measures of students' consciousness about their own thinking processes—their ability to recognize when they're making assumptions, identify their own knowledge gaps, and select appropriate strategies for different types of problems. Students demonstrating strong metacognitive awareness can articulate their reasoning process, explain why they chose particular approaches, and self-assess the strength of their conclusions. They become skilled at asking themselves questions like 'What evidence would change my mind?' or 'What assumptions am I making that I should examine?' This self-awareness transforms students into independent learners capable of continuous intellectual growth. Intellectual humility: Modern assessment recognizes intellectual humility—the willingness to revise views when presented with compelling evidence—as a crucial indicator of educational maturity. Rather than rewarding students for defending initial positions regardless of new information, evaluation systems now value intellectual flexibility and evidence-based reasoning. Students demonstrating intellectual humility acknowledge the limits of their knowledge, seek out disconfirming evidence, and show genuine curiosity about alternative perspectives. They express confidence in their reasoning process while remaining open to new information that might refine or change their conclusions. Collaborative problem solving: New assessment approaches also evaluate students' ability to engage in productive collaborative thinking, building on others' ideas while contributing unique perspectives. These measures track whether students can synthesize diverse viewpoints, facilitate group inquiry, and help teams navigate disagreement constructively. Long-term impact tracking: Some institutions are implementing longitudinal studies that follow graduates to assess how AI-enhanced critical thinking education influences career success, civic engagement, and lifelong learning habits. These studies examine whether students who experienced Socratic AI education demonstrate superior problem-solving abilities, greater adaptability to changing professional demands, and more effective leadership skills in their post-graduation lives. Portfolio-based assessment: Rather than relying on isolated examinations, innovative institutions are developing portfolio systems that document students' thinking evolution over time. These portfolios include reflection essays, problem-solving process documentation, peer collaboration records, and evidence of intellectual growth across multiple contexts, providing a comprehensive picture of educational development that single assessments cannot capture. Challenges on the horizon The transformation faces significant hurdles. Technical challenges include developing AI capable of sophisticated educational dialogue while ensuring consistent ethical behaviour across diverse contexts. Creating tools that adapt to individual learning needs while maintaining privacy and security presents ongoing difficulties. Institutional challenges include faculty resistance to new technologies, concerns about AI replacing human instruction, budget constraints, and the need for comprehensive training systems. Students themselves may initially resist AI that doesn't provide immediate answers, requiring a learning curve to engage effectively with Socratic AI tools. The digital divide also poses concerns about equitable access to these advanced educational technologies. The future of AI-enhanced learning As AI tools become more sophisticated, several transformative developments are anticipated that will reshape the educational landscape: Personalised learning pathways: The next generation of AI will create unprecedented levels of educational customization. These systems will continuously analyse how individual students learn best, identifying optimal pacing, preferred explanation styles, and effective motivational approaches. For instance, a student struggling with mathematical concepts might receive visual representations and real-world applications, while another excels with abstract theoretical frameworks. AI will also map knowledge gaps in real-time, creating adaptive learning sequences that address weaknesses while building on strengths. This personalization extends beyond academic content to include emotional and social learning, with AI recognizing when students need encouragement, challenge, or different types of support. Cross-curricular integration: Future AI systems will excel at helping students discover connections between seemingly unrelated subjects, fostering the interdisciplinary thinking essential for solving complex modern problems. Students studying climate change, for example, will be guided to see connections between chemistry, economics, political science, and ethics. AI will prompt questions like 'How might the economic principles you learned in your business class apply to environmental policy?' or 'What historical patterns can inform our understanding of social responses to scientific challenges?' This approach mirrors how real-world problems require integrated knowledge from multiple disciplines, better preparing students for careers that demand versatile thinking. Real-world problem solving: AI will increasingly facilitate engagement with authentic, complex challenges that mirror those professionals face in their careers. Rather than working with simplified textbook problems, students will tackle genuine issues like urban planning dilemmas, public health crises, or technological implementation challenges. AI will guide students through the messy, non-linear process of real problem-solving, helping them navigate ambiguity, consider multiple stakeholders, and develop practical solutions. These experiences will develop not just critical thinking skills, but also resilience, creativity, and the ability to work with incomplete information—capabilities essential for success in rapidly changing careers. Global collaboration: AI tools will break down geographical and cultural barriers, enabling students from different countries and educational systems to collaborate on shared learning experiences. These platforms will facilitate cross-cultural dialogue while helping students understand different perspectives on global issues. AI will serve as a cultural translator and mediator, helping students from diverse backgrounds communicate effectively and learn from their differences. Virtual exchange programs powered by AI will allow students to engage in joint research projects, debate global challenges, and develop the international competency increasingly valued in the modern workforce. Adapting assessment and feedback: Future AI systems will revolutionize how learning is assessed, moving beyond traditional testing to continuous, contextual evaluation. These tools will observe student thinking processes during problem-solving, providing insights into reasoning patterns, misconceptions, and growth areas. Assessment will become a learning opportunity itself, with AI offering immediate, specific feedback that guides improvement rather than simply measuring performance. Emotional intelligence development: Advanced AI will recognize and respond to students' emotional states, helping develop crucial soft skills alongside academic knowledge. These systems will guide students through collaborative exercises, conflict resolution, and empathy-building activities, preparing them for leadership roles in increasingly complex social environments. Lifelong learning support: As careers become more dynamic and require continuous skill updating, AI learning partners will evolve alongside learners throughout their professional lives. These systems will help professionals identify emerging skill needs, design learning paths for career transitions, and maintain intellectual curiosity across decades of changing work environments. A pedagogical revolution The transformation of AI from answer engine to thinking partner represents more than a technological shift—it's a pedagogical revolution. In an era where information is abundant but understanding is scarce, AI tools that prioritize depth over speed may be essential for developing the critical thinking skills students need for success in an increasingly complex world. Educational technology leaders note that institutions are at a critical juncture in AI implementation. The early success of Socratic AI implementations demonstrates that technology can enhance rather than undermine educational goals when designed with learning principles at its core. As more institutions experiment with these approaches, AI is poised to become an indispensable partner in developing the critical thinking skills that define educated, engaged citizens. The challenge now is to scale these innovations thoughtfully, ensuring that AI tools remain true to their educational mission while becoming accessible to learners across all contexts. The journey from AI as a shortcut to AI as a thinking partner is just beginning. For educators, technologists, and policymakers, the opportunity to shape this transformation represents one of the most important challenges—and opportunities—of our time. The future of education may well depend on our ability to develop AI that makes students think harder, not less. This article is based on research and implementations from leading educational institutions including Northeastern University, the London School of Economics, and Champlain College, as well as analysis of emerging AI tools in classroom settings and educational technology research. (The author is retired professor at IIT Madras)

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store