International Professors Project

CONGRATS to YOU BOTH! Looks Iike a timely contribution to consider how best a Multidisciplinary approach might efficiently advance Micro-credentialing

"Manarola, potentially the oldest Cinque Terre village, boasts a rich history evident in its 1338 church cornerstone. Its unique dialect, "Manarolese," and name, likely derived from Latin's "magna rota" ("large wheel"), reflect the town's historical mill." #Italy https://lnkd.in/ezpCKZvT

The critical role of #inference generation in reading comprehension Key Focus Improving students' ability to make inferences, which are essential for understanding text beyond its literal meaning. Core Concepts ??Inferences connect text with prior knowledge. ??Weak inference skills correlate with poor reading comprehension. ??Different types of inferences exist: ??Text-based vs. knowledge-based ??Coherence vs. elaborative ??Reading standards and assessments heavily rely on inference skills. Teaching Strategies ??Teachers should actively model inferential thinking. ??Use questioning techniques to guide students. ??Explicitly teach inference strategies. ??Activate students' prior knowledge. ??Focus on identifying key words and making connections. ??Practice with feedback. Practical Implications The article provides guidance for classroom application. It highlights the importance of addressing knowledge-based inferences, which students often find challenging. https://lnkd.in/eC3p65UW

The difference between a "#parameter" and a "#statistic" in statistics: ?Parameter: A number describing a "whole population"(e.g., the average height of all adult women). ??Statistic:A number describing a "sample" taken from that population (e.g., the average height of a sample of 100 adult women). Crucial insights ?Parameters are usually unknown and estimated from statistics. ??Statistics are used to make inferences about populations. https://lnkd.in/eayZgkEv

How to develop #counterarguments and #refutations in argumentative essays. Counterargument ?Purpose: To acknowledge and present opposing viewpoints, showing a balanced perspective. ?Identification: Brainstorming, discussions, interviews, and research help identify counterarguments. ?Development: Clearly explain the opposing view, often including evidence. ?Concession: Acknowledge the counterargument's validity ("There may be some truth to these claims"). Refutation ?Purpose: To explain why the counterargument is wrong and strengthen your own argument. ?Transition: Use words like "however," "despite," or "nevertheless" to introduce the refutation. ?Development: Explain your defense, providing evidence and reasoning. Key Points The text provides examples of counterargument and refutation paragraphs. It also offers "stems" (sentence starters) to help writers structure their counterarguments and refutations. The video provided explains the difference between counterclaims and rebuttals. In essence, this section of the text provides instruction on how to acknowledge and then argue against an opposing viewpoint in an #argumentativeessay. https://lnkd.in/e8zvjGXv

"#Leaders play a crucial role in fostering organizational #learning, especially during transformations, by actively facilitating learning rather than solely delegating it. This involves teaching employees structured problem-solving methods, such as A3 thinking, and framing challenges as opportunities for growth. By prioritizing the development of employees' problem-solving skills, leaders create a ripple effect of capability and efficiency, ultimately driving lasting change and building a robust learning culture." https://lnkd.in/gA4ZReye

"#Ephesus, a significant Greek city in ancient Ionia (modern-day Turkey), was strategically located near the Cayster River, granting it access to major trade routes. Its famous #TempleofArtemis was initially near the coast, but due to silt buildup, the coastline receded significantly over time. In Roman times, a harbor was maintained, but by the Byzantine era, it became unusable, leaving Ephesus inland." https://lnkd.in/e6s35h6e

"Miles Cranmer is a physicist aiming to build "#scienceliterateAI to accelerate scientific discovery. He envisions AI foundation models that can flexibly generate simulations and predictions across research areas, like a scientifically accurate ChatGPT." Key Challenges Out-of-Distribution Prediction: Current AI struggles with new data unlike anything it's seen before, unlike human scientists who can extrapolate. Memory and Knowledge Accumulation: AI lacks the ability to build upon previous scientific knowledge, unlike human scientists who incorporate existing theories. Equation Distillation:Neural networks struggle to translate predictions into simple, interpretable equations. Data Scarcity: Scientific data for training AI is less abundant than text or video. Cranmer's Approaches Symbolic Regression (PySR): This software allows AI to learn equations from data, making predictions more interpretable and generalizable. Polymathic AI Initiative:This initiative focuses on training AI models on vast amounts of scientific data to "anchor" predictions and improve out-of-distribution performance. Cranmer's Vision He believes AI can significantly accelerate scientific progress by overcoming current limitations. He is working to imbue #AI with scientific "memory" and the ability to extrapolate from existing knowledge. He is working to create AI that can use numerical data sets, in the same way that ChatGPT uses language data sets. In essence, Cranmer is working to bridge the gap between AI's current capabilities and the complex reasoning required for scientific breakthroughs. https://lnkd.in/eiWnyvnz

#Appliedresearch solves real-world problems or improves existing practices, unlike basic research which expands general knowledge. Importance: Crucial for #problemsolving, innovation, evidence-based decisions, competitive advantage, social impact, and technological advancement. Types ?Evaluation Research: Assesses program effectiveness. ?Action Research: Solves problems within a specific context. ?Case Study Research: In-depth investigation of a specific case. ?Applied Experimental Research: Establishes cause-and-effect relationships. ? Survey Research: Gathers data on opinions and behaviors. ?Preparation: Involves identifying relevant research questions by engaging with stakeholders and considering the scope and feasibility of the study. Ron Krate PhD Professor Beena Giridharan Sripriya Sarathy Phillip Neely, Jr., Ph.D. Dr. Stavros Kaniklides Vivek K Gaurav (PhD) https://lnkd.in/ejPEPBPx

#AlternativeCredentials: Reshaping Modern Education A #UPCEA report explores the growing field of alternative credentials (certificates, badges, #bootcamps, #MOOCs) in higher education. While 80% of institutions see their value, 20% still don't prioritize them strategically, indicating potential growth. ?Resource Utilization: Institutions often leverage existing curriculum and faculty expertise. ??Challenges: Gaining faculty support and creating effective microcredentials. ?Employer Engagement: Crucial for curriculum design, but can be complicated by multiple campus stakeholders. ?Stackable Credentials: Benefit learners and complement traditional degrees. ?Business Models: Vary (fee-based, revenue-sharing), with revenue-sharing linked to better sustainability. ?Decentralization:Offers customization but can complicate program management. ?Strategic Alignment: Essential for resource allocation and program coherence. Recommendations Carefully select business models focusing on sustainability and scalability. Increase employer collaboration for relevance and demand. Conclusion Alternative credentials are increasingly important, especially as student demographics change. They offer new engagement opportunities, #learnervalue, and support institutional viability. Ron Krate PhD Professor Beena Giridharan Sripriya Sarathy Ray Schroeder https://lnkd.in/e9NrAmQD