エピソード

  • AI Didn't Break Education - It Exposed the Cracks
    2025/05/20
    In this thought-provoking episode of Generation AI, hosts Dr. JC Bonilla and Ardis Kadiu welcome special guest Michael McGetrick, a veteran educator and creative technologist, to explore how AI is transforming teaching and learning. They discuss the urgent question facing educators today: what is AI doing to student learning? The conversation examines how AI is exposing existing cracks in educational systems rather than breaking them, highlighting a "relevance crisis" rather than a "cheating crisis." From redesigning assessment methods to understanding how AI enhances skill-based learning, the hosts share research findings and personal experiences about the real impact of tools like ChatGPT in education, and how students and educators can adapt to this new reality that's already here.AI's Impact on Teaching and Learning Today (00:00:00)AI is exposing existing cracks in educational systems rather than breaking themIntroduction to the urgent questions facing educators, parents, and technologistsThe shift from AI as the future of education to AI as the present realityIntroduction to Mike McGetrick and His Course (00:02:23)Mike McGetrick joins as a guest expert - principal at Spark451, veteran educator, and creative technologistThe hosts establish their educational backgrounds and experiencesMike shares his experience teaching a generative AI course at Brooklyn CollegeDesigning a Curriculum for Generative AI (00:05:27)How Mike approached creating a curriculum from scratch for teaching AI in designBalancing traditional design principles with new AI toolsThe importance of building a foundation of knowledge while integrating AI toolsThe Time-to-Value Shift in Learning (00:07:48)Students can now apply principles in minutes rather than over weeksHow immediate application affects the learning processTeaching students to think about design elements as "data features" for promptsThe "Cheating" Controversy in Education (00:12:25)Discussion of the viral New York Magazine article about students using AIThe concept of "cheating" versus utilizing available toolsHow traditional assessment methods are becoming outdatedRedefining Learning Through Outcomes (00:17:52)Focus on quality of output rather than effort or "the grind"The balance between mental health concerns and educational standardsThe importance of learning through struggle and growthThe Relevance Crisis in Higher Education (00:27:59)AI didn't break education - it exposed how outdated it already wasThe need for education to adapt to modern skills and outcomesHow higher education needs to evolve to remain relevantResearch Findings on AI's Impact on Learning (00:29:23)Discussion of 51 studies on ChatGPT's effect on learningLearning performance shows significant improvement with AI after 4-8 weeksModerate effects on concept learning and higher-order thinkingAI as Coach Rather Than Answer Provider (00:36:54)The importance of using AI as a thinking partnerConcern about students not building foundational knowledgeThe need to teach students about their own learning processAI in the Workforce (00:40:59)The growing emphasis on AI skills in the workplaceCEOs requiring employees to use AI as part of their jobsDebate on whether specialists or generalists will thrive in an AI-driven workplaceClosing Thoughts: A Path Forward (00:49:17)Suggestion for a new course on "My Learning Journey" to help students understand how learning happensUnderstanding the learning process as crucial for deciding how to use AI effectivelyThe transformation of education and embracing the changes ahead - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com. Attend the 2025 Engage Summit! The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the most personalized digital engagement experience every step of the way.Register now to secure your spot in Charlotte, NC, on June 24-25, 2025! Early bird registration ends February 1st -- https://engage.element451.com/register
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    53 分
  • Model Context Protocol (MCP): Making AI Agents Talk to Your Data
    2025/05/13
    In this insightful episode of Generation AI, hosts Ardis Kadiu and JC Bonilla tackle Model Context Protocol (MCP), a new standardization that's gaining rapid adoption across the AI industry. They explain how MCP functions as a universal adapter between AI models and data sources, solving the "Frankenstein middleware" problem that makes building AI agents so complex today. The hosts break down why this matters for higher education professionals, how it reduces hallucinations by improving data access, and why major players like OpenAI, Google, and HubSpot are already implementing it. This episode offers critical insight into how standardization will make AI tools more useful and less complex for everyone.What is Model Context Protocol (MCP)? (00:01:00)Introduction to MCP as a standardization protocol for AI agentsHosts explain MCP as a way to help AI access context and dataThe "three-legged stool" of AI agents: intelligence, context, and actionMCP provides the standard for how agents communicate with data sourcesMCP as the Universal AI Adapter (00:04:42)JC compares MCP to standardized protocols like TCP/IP and USB-CMCP sits between models like Claude or Gemini and various data sourcesIt eliminates the need for custom connectors between each tool and AI modelThe protocol's simplicity as a minimal viable product (MVP) is key to its successHow MCP Works (00:07:03)MCP is a protocol, not an API, that describes format and flow"Discovery first" approach where AI asks "what can you do?"Uses JSON format for tools and data exchangeWorks both locally and remotely over HTTPThe Technical Benefits of MCP (00:13:14)Solves the "m by n headache" of needing separate connectors for each model-tool pairReduces hallucinations by providing AI with reliable data sourcesGives AI models access to specialized tools for tasks they struggle withEnables "grounding" in real data rather than making things upIndustry Adoption and Momentum (00:17:14)OpenAI, Google, HubSpot, LangChain and others already implementing MCPHubSpot's beta MCP server allows for direct CRM data access in ClaudeGrowing availability for tools like Slack, Teams, and ZapierDiscussion of how MCP layers on top of existing APIsPractical Applications (00:20:36)Higher education examples: connecting LMS, advisor notes, financial aid systemsSales use case: AI agents accessing CRM data through MCP for follow-upsDevOps: AI monitoring logs, creating tickets, and managing communicationAnalytics: Connecting data sources, models, and reporting tools seamlesslyChallenges and Considerations (00:23:17)MCP requires widespread adoption to be truly effectiveProduct teams must be convinced to implement it alongside existing APIsPossibility that another protocol might eventually win outCurrent technical hurdles for implementation that are being addressedCall to Action for Listeners (00:26:03)Experiment with MCP servers that connect to Claude desktopFor AI product builders: write MCP servers for your applications nowAsk AI vendors: "Do you speak MCP?" as a signal of cutting-edge capabilityMCP as the new standard, comparable to asking "Do you have an API?"Conclusion: The Future of AI Integration (00:29:14)MCP's architectural implications for more open, modular AI systemsThe need for agents to speak a common language across platformsInvitation for listeners to share which workflows they'll connect once MCP goes mainstream - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com. Attend the 2025 Engage Summit! The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the most personalized digital engagement experience every step of the way.Register now to secure your spot in Charlotte, NC, on June 24-25, 2025! Early bird registration ends February 1st -- https://engage.element451.com/register
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    31 分
  • The Vibe Coding Revolution
    2025/05/06
    In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu examine the growing phenomenon of "vibe coding" - a new AI-powered approach to software development that allows anyone to create functional applications by simply describing what they want in natural language. They discuss how tools like Lovable, Cursor, and Replit are making it possible to build complex, multi-file projects in minutes without writing a single line of code. Through live demonstrations, they show how this technology is making software development accessible to non-programmers while also exploring the potential impacts, benefits, and risks for higher education institutions.Introduction to Vibe Coding (00:00:06)Definition of vibe coding as a new paradigm in software developmentHow developers can create applications through natural language promptsOrigins in February 2023 with Andrew Karpathy's tweet about this approachThe paradigm shift from traditional coding to conversation-based developmentThe Evolution of Vibe Coding Tools (00:04:03)The meaning behind the term "vibe" - describing the output and guiding the processHow vibe coding differs from AI code assistantsOverview of leading tools including Cursor, Lovable, Replit, and Claude ArtifactsThe rapid growth of companies like Cursor (reaching $300 million in revenue)How Vibe Coding Works in Practice (00:10:31)The workflow: describe what you want, AI generates code, review, refineDemonstration of multifile project capabilitiesHow developers at Element451 are incorporating these toolsBuilding integrations without needing to understand APIs in detailLive Demonstration of Vibe Coding (00:22:10)Showcase of a compound improvement calculator built with LovableDemonstration of an AI agent demo landing page created in minutesCreation of a task management app for McDonald's employees with bonus trackingHow tools handle authentication, camera integration, and user managementThe Technical Aspects and Limitations (00:32:17)How the tools handle publishing and hosting applicationsIntegration with databases through services like SupabaseThe iterative refinement process when errors occurNew features allowing fine-grained control over componentsImplications for Higher Education (00:36:43)How non-technical staff at universities could build their own applicationsPotential for rapid prototyping of student-facing toolsExamples like grade appeal chatbots or orientation sign-up systemsOpportunities for micro-apps to solve specific campus problemsRisks and Challenges (00:41:14)Potential security and privacy concerns with generated codeMaintenance challenges for vibe-coded applicationsQuestions about ownership and governance of applicationsThe concept of "disposable software" that's cheaper to rebuild than maintainFuture Outlook and Getting Started (00:47:28)The expansion of "vibe" approaches to other domains like marketingRecommendations for experimenting with tools like LovableThe importance of human review for securityEncouraging safe experimentation with these accessible tools - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com. Attend the 2025 Engage Summit! The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the most personalized digital engagement experience every step of the way.Register now to secure your spot in Charlotte, NC, on June 24-25, 2025! Early bird registration ends February 1st -- https://engage.element451.com/register
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    53 分
  • EO on AI Education, Hollywood's AI Validation, and OpenAI's O3 Visual Reasoning Power
    2025/04/29
    In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu discuss recent significant AI developments across education, entertainment, and technology. They analyze President Trump's executive order on AI education for K-12 schools, which challenges the "cheating narrative" and aims to promote AI literacy. They also examine the Academy Awards' decision to accept AI-assisted films for consideration. The hosts then dive deep into OpenAI's new O3 model, exploring how its multimodal reasoning capabilities allow it to process text, images, and code in unified ways that mimic human thinking. The episode highlights practical applications for marketing, data analysis, and higher education enrollment strategies.Introduction and News Updates (00:00:00)Welcome to the Generation AI podcast focused on higher educationIntroduction of hosts JC Bonilla and Ardis KadiuOverview of the episode's main topics: executive order on AI education, Oscars' AI acceptance, and OpenAI's O3 modelExecutive Order on AI Education (00:03:04)President Trump signed an executive order on April 23rd promoting AI education for youthThe order creates a White House task force to oversee federal funding for AI literacyDiscussion on how this challenges the current trend of banning AI in 60% of US schoolsArdis shares personal experience of his children being afraid to use AI for educational purposesThe order aims to remove the "AI equals bad" mental block in studentsGlobal Competitiveness in AI Education (00:07:24)Debate on whether the US K-12 education system is globally competitiveDiscussion of inconsistencies in education quality across districts and statesComparison to other countries where students are actively building AI skillsNeed for improved AI literacy to maintain competitive advantageThe Academy Awards' AI Decision (00:08:56)The Academy of Motion Picture Arts and Sciences has updated rules for the 98th OscarsFilms using generative AI tools are now eligible for awardsThe use of AI will neither help nor harm a film's chances of nominationHuman-driven artistry will remain the priority in judgingDiscussion of the film "The Brutalist" which used AI for accent enhancementSignificance of this as validation for AI in creative fieldsUpdates on Frontier AI Models (00:13:42)Brief mention of recent model releases from Google and GrokFocus on OpenAI's O3 as a "multimodal marvel" for reasoningThe race of AI development continues with focus on scalable agentsDiscussion of naming conventions for OpenAI modelsOpenAI's O3 Model Capabilities (00:16:20)O3 represents a departure from conversational chatbots toward visual thinkingThe model excels at coding, math, science, and visual reasoningIt processes text, images, and code in a unified reasoning frameworkVisual thinking capabilities comparable to human thinking processesDiscussion of performance improvements and acceleration in model capabilitiesThe companion O4 Mini model for lightweight real-time applicationsTesting O3 vs Other Models (00:25:28)JC and Ardis compare experiences using different OpenAI modelsComparison between O3 and GPT-4o outputs for the same promptO3's tendency to use tables and structured formats for certain outputsArdis recommends using O3 for coding, PDF analysis, and creative feedbackPractical Applications of O3 (00:30:34)Content creation capabilities for ad copy generationCampaign visual analysis through multimodal reasoningData analysis improvements for marketing datasetsBetter handling of unstructured tasks in higher educationStrategic data-driven approaches to enrollment managementDemo of creating visual ads with iterative refinements in minutesExample of financial analysis from complex spreadsheetsChatGPT Memory Feature Update (00:40:37)New feature allowing ChatGPT to use prior conversations as contextBenefits of the system remembering previous interactionsHow this enables personalization of AI responsesImpact on workflow efficiency and personalized assistanceConclusion (00:43:07)Final thoughts on AI integration into human activitiesClosing remarks and podcast network information - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com. Attend the 2025 Engage Summit! The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the ...
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    44 分
  • ASU+GSV Summit 2025 Recap - Learning at the Speed of Light
    2025/04/22
    In this eye-opening episode, Generation AI takes you inside the recent ASU+GSV Summit and AI Revolution Show in San Diego, where education and technology leaders gathered to address AI's impact on higher education. JC and Ardis break down how university presidents and tech executives are responding to what ASU leadership called an "AI Tsunami," sharing practical guidance on curriculum changes, institutional adaptation, and keeping humans at the center. The episode also examines the business side, analyzing how AI is driving EdTech consolidation, investment patterns, and market transformation. For anyone in higher education trying to make sense of AI's rapid changes, this episode provides both big-picture thinking and on-the-ground insights from those leading the charge.The AI Revolution Landscape in Higher Education (00:00:00)Overview of ASU+GSV Summit and AI Revolution Show in San DiegoThousands of leaders gathered to discuss AI's impact on higher educationCurrent challenges: declining public trust, cost pressures, value concernsASU leadership describes the situation as an "AI Tsunami" requiring quick adaptationKey Voices on Navigating the AI Era (00:02:30)C. Edward Watson (AAC&U) stressed that AI means major job change, not just lossWatson argues higher education must update curriculum now for AI literacyWarns against ineffective bans and detection tools, suggests adapting teaching methodsTed Mitchell (ACE) sees current disruption as a chance to build anewMitchell emphasizes student success metrics and institutional data ownershipPaul LeBlanc (Matter and Space) notes true innovation often comes from "unencumbered places"Views AI as both challenge and opportunity to rethink learning modelsStrategic Leadership in the AI Transition (00:08:45)Lev Gonick (ASU) highlights IT leaders' role in managing the AI transitionStresses maintaining human-centered approaches despite rapid changesSal Khan champions AI's potential to transform learning through personalized toolsMichael Hansen (Cengage) warns that higher education must integrate AI to stay relevantCommon thread: AI offers major potential but requires ethical frameworksThe Business of AI EdTech (00:15:20)Global education market worth over $7 trillionNo EdTech company has broken the $20 billion mark yetM&A market looks strong for 2025 with stabilizing interest ratesPrivate equity firms have record capital to invest, making EdTech attractiveMarket consolidation driven by both PE and strategic acquisitionsInvestment Trends in Education AI (00:22:15)Key distinction between infrastructure AI (big models) and applied AI (workflow tools)Applied AI attracting significant funding with clearer paths to profitsElement451's recent $175M investment cited as an exampleTools for operations, compliance, and personalized learning gaining valueInvestors backing smaller companies disrupting older solutionsChallenges include measuring true effectiveness when models change rapidlyLooking Ahead: The Future of AI in Higher Education (00:28:40)Successful AI integration requires both vision and market viabilityTension between rapid adoption and real-world barriers (faculty readiness, data gaps)Future focus areas include better data management and governanceGrowing demand for proof of effectiveness beyond initial hypeContinued investment expected in practical AI applicationsWorkforce alignment remains a dominant driver for AI adoptionOpen question: Can AI fulfill its promise to democratize education? - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com. Attend the 2025 Engage Summit! The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the most personalized digital engagement experience every step of the way.Register now to secure your spot in Charlotte, NC, on June 24-25, 2025! Early bird registration ends February 1st -- https://engage.element451.com/register
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    46 分
  • ASU's AI Strategy, Digital Workforce, and the End of Frankenstein Tech
    2025/04/15
    In this insightful episode of Generation AI, hosts JC Bonilla and Ardis Kadiu speak with Lev Gonick, CIO of Arizona State University, about how AI is reshaping higher education technology systems. Gonick shares ASU's innovative approach to AI implementation, discussing their transition from fragmented "Frankenstein" tech systems to a more integrated architecture using AI agents. He explains how ASU is already deploying orchestrated AI agents across campus operations - from parking to financial aid to classroom instruction - and offers a practical vision for how universities can adapt to this technological shift. This conversation is essential listening for higher education professionals looking to understand how AI can transform student experiences and institutional operations.The Current State of University Technology Systems (00:00:25)Discussion of universities as technology "Frankensteins" with disconnected systemsGonick explains ASU's dual approach to AI: both as additional tools and as potential unifiersThe challenge of balancing pragmatic immediate needs with long-term integration goalsASU's outlook on technology focuses on opportunity and abundance rather than scarcityThe Timeline for Technology Transformation in Higher Education (00:02:14)Gonick suggests the transition away from fragmented systems could take "a generation or two"ASU positions itself as an outlier and model for what a "new American university" can look likeThe importance of proving what's possible by implementing future-focused solutions todayASU's commitment to focusing on "the future today" rather than waiting for perfect solutionsASU's Leadership in AI Implementation (00:03:45)Reference to ASU's publication documenting their AI journey with 40+ implementation storiesDiscussion of ASU's mindset that emphasizes growth and innovationGonick quotes Alan Kay: "If you want to predict the future, invent it"ASU's philosophy: "If you want to invent the future, start" - emphasizing action over debateAI's Transformation of Higher Education (00:05:33)Gonick argues AI represents a "tectonic shift" that will redefine not just how we teach but what we teachMany universities are stuck in an academic debate rather than testing and experimentingASU's approach involves real-world testing while adhering to principles of innovationThe need for agile, iterative approaches to AI implementation similar to software developmentThe Evolution from Generative AI to AI Agents (00:08:57)Reflection on the past year's progress from classroom-focused generative AI to agent-based systemsGonick suggests current generative AI implementations will eventually be seen as "prehistory"Discussion of how voice and video AI experiences may create economic value in educationThe emergence of "agentic" AI systems where multiple specialized agents work togetherASU's Current Work with AI Agents (00:11:35)ASU has developed approximately a dozen purpose-built AI agents for different functionsThese agents are now being orchestrated to work together rather than operating independentlyExamples include agents for syllabus creation, assessment, skills development, and career opportunitiesDiscussion of the need for "Centurion" agents to ensure privacy, security and ethical useAI Applications in Campus Operations (00:14:52)ASU is implementing agentic AI experiences in back-office operations like parking managementPlans for teaching and learning agent implementations starting in August for the new school yearDevelopment of pedagogy agents that support different teaching methods (Socratic, case method, etc.)Financial aid navigation as another major area where AI agents are improving student and family experiencesThe Digital Workforce and Organizational Change (00:20:49)Discussion of AI agents functioning as a "digital workforce" that requires managementThe need to rearchitect how work is done in university settingsHuman resistance to change as a major challenge in AI implementationASU's approach to helping employees transition to new roles through upskilling and reskilling programsThe Near Future of AI in Higher Education (00:24:47)Discussion of the impact of politics and regulations on AI implementationASU's view of challenges as opportunities and their focus on adaptabilityThe concept of building "anti-fragile" institutions that not only survive disruption but thriveThe importance of planning with a longer horizon while remaining agile - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at ...
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    29 分
  • ChatGPT image magic changes design forever, Gemini 2.5 raises the bar, MCP connects everything, Claude for Education brings AI to classrooms
    2025/04/08
    In this information-packed episode of Generation AI, hosts JC Bonilla and Ardis Kadiu explore the revolutionary new ChatGPT image generation capabilities that have taken the internet by storm. They break down how this new native image generation differs from previous models, allowing users to create, modify and refine images through conversation. The hosts also cover significant recent AI developments including Google's Gemini 2.5 Pro, Anthropic's Model Context Protocol standard, and new educational initiatives from OpenAI and Claude. This episode gives higher education professionals critical insights into how these visual AI tools will transform marketing, teaching, and creative processes across campus. Recent AI Updates and Developments (00:00:06)Introduction to the episode and upcoming Element451 presence at ASU GSV conferenceBrief mention of new AI releases coming from Element451Overview of recent major AI developments that will be discussedMajor Model Drops and Advances (00:03:13)Google's release of Gemini 2.5 Pro, a powerful reasoning and thinking modelDiscussion of its 1,000,000 token context window and coding capabilitiesAnthropic's Model Context Protocol (MCP) as a new standard for AI model connectionsComparison to standardization moments like VHS/Betamax or USB connectivityHow MCP simplifies integration with external tools and APIsOpen Source Models and Coding Advancements (00:09:11)DeepSeek v3 launch continuing the open source momentumDiscussion of "vibe coding" and voice-based natural language programmingThe progression of open weights models (not fully open source)Google's Gemma 3, OpenAI's announced open weights model, and upcoming Llama 4How these models enable natural language "vibe coding" through better reasoningAI Education Initiatives (00:13:53)OpenAI Academy launch for teaching AI skills and prompting techniquesClaude for Education using Socratic methods to teach students how to learnFocus on pedagogy and learning rather than just providing answersImportance of AI literacy as models improveChatGPT Image Generation Revolution (00:18:06)Technical explanation of the new native image generation in GPT-4oHow it differs from previous DALL-E integration by generating images pixel by pixelThe ability to remember context and make incremental changes to imagesComparison to the creative sketch-to-masterpiece process in artImage Generation Examples and Capabilities (00:27:05)Transforming images into anime, Studio Ghibli style, or other artistic stylesImage restoration, sharpening, and enhancement capabilitiesConverting rough sketches into polished marketing materialsCreating consistent multi-panel comics or narrativesFashion coordination and outfit planning from wardrobe itemsInterior design applications by incorporating furniture pieces in roomsCreating travel journals and personalized visual memory booksPractical Applications in Education and Marketing (00:34:23)Educational uses for teachers creating customized visual aidsExplaining complex concepts through dynamic illustrations for different learning stylesMarketing prototyping and rapid campaign creationStoryboarding for entertainment and media productionProduct design acceleration and prototypingTransformative Impact Across Industries (00:37:51)Filters becoming experiences with style transformationsEasier creation of memes and visual communicationBooks and visual storytelling including children's booksImproved slide presentations with conceptual imagesPersonalizing stock photography with school colors and logosRemixing movie scenes in different stylesCreating personalized advertisements at scaleEnabling creatives to produce work faster and tell stories through visualsLearning at Scale Through Visual AI (00:41:46)How educators can use these tools to reach diverse learnersMaking complex concepts accessible through visual adaptationRemoving creative bottlenecks in educationFinal thoughts on the transformative potential of new vision models - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com. Attend the 2025 Engage Summit! The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the most personalized digital engagement experience every step of the way.Register now to secure your spot in Charlotte,...
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    45 分
  • AI & Admissions: Making Fast, Fair Decisions in Higher Ed
    2025/04/01
    In this episode of Generation AI, hosts Dr. JC Bonilla and Ardis Kadiu examine how AI can support—not replace—human decision-makers in college admissions. They discuss the growing challenge of application volume (with schools like NYU receiving 120,000 applications) against limited staff resources, creating bottlenecks where reviewers must evaluate hundreds of applications in tight timeframes. The hosts explain how AI tools can bring consistency to evaluation, remove human bias, and dramatically speed up document processing while maintaining quality. They outline specific AI applications in admissions including document verification, essay evaluation, and transcript analysis, emphasizing that the goal is to enhance human judgment rather than replace it.The Admissions Crunch: Record Application Numbers (00:00:57)NYU received 120,000 applications this year, the most for any private universityUniversity of Texas at Austin saw a 24% increase in applicationsUniversity of Washington experienced 57% growth over five yearsHarvard received 60,000 applications for just 2,000 spotsThe Human Workload Problem (00:02:46)Average public university has 60 new students per staff memberApplication-to-staff ratio can reach 600-650 for selective schoolsEach application takes 15-30 minutes to reviewStaff often have multiple responsibilities beyond application reviewThe Student Experience Impact (00:06:08)Long waiting times affect student decision-makingSpeed to response is critical for enrollment strategyReducing review time from 45 days to 24 hours can increase enrollmentEarly decisions are a competitive advantage for institutionsHow College Admissions Work (00:08:12)Holistic admissions evaluate academic achievement, personal statements, extracurricularsRolling admissions focus on meeting basic criteria with rapid turnaroundBoth processes involve significant manual reviewConsistency and speed are major challengesAI Advantages in the Admissions Process (00:11:24)Consistency and fairness through uniform evaluation standardsAI applies the same criteria consistently across all applicationsRemoves human bias that can affect evaluation outcomesMaintains evaluation standards even with reviewer fatigueAI Technology in Document Processing (00:14:54)Optical Character Recognition (OCR) digitizes documents efficientlyNatural Language Processing (NLP) analyzes qualitative aspects of applicationsMultimodal models like Gemini 2.0 extract data from documents accuratelyReasoning models can evaluate applications based on specific criteriaCurrent State of AI in Admissions (00:17:53)OCR technology for transcript scanning exists but is limitedSome schools use data extraction when loading information into CRMsFew comprehensive solutions integrate all aspects of AI evaluationTechnology is just becoming available for full-scale implementationTechnical Applications of AI in Admissions (00:19:17)Document verification automates checking for completeness and accuracyEssay evaluation can extract themes about student readinessCourse equivalency mapping connects courses across institutionsTranscript evaluation helps with transfer credits and placementAdmissions as a Rubric (00:25:37)Admissions decisions are based on measurable criteriaCriteria can be objective (in-state status) or subjective (leadership qualities)Digital application review transforms criteria into software evaluationsAI can work effectively with rubric-based evaluation systemsElement451's AI-Powered Admissions Approach (00:29:08)AI agent ingests institutional rubrics and evaluation criteriaSystem analyzes all submitted documents through data extractionProvides scores and reasoning for each evaluation criterionPlaces AI recommendation alongside human evaluationThe Future: Your First Read is Your Second Read (00:31:08)AI provides efficient, fair, consistent and scalable admissions processGoal is to enhance human judgment, not replace itRemoves human bias while maintaining quality evaluationFrees staff time for personal interaction with prospective students - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com. Attend the 2025 Engage Summit! The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the most personalized digital engagement ...
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    35 分