Minnesota students return to schools after ICE chaos



Students in the Minneapolis and Columbia Heights districts are returning to in-person classes this week after many chose to stay home as U.S Immigration and Customs Enforcement agents flooded the region at the start of the year.

The toll of the surge on children, families, schools and teachers is something some school leaders say they are still struggling to understand.

“There's still a heightened alert or anxiousness, but it's certainly not like it was in January, February, for which we are relieved,” said Kristen Stuenkel, communications director in the Columbia Heights school district. “We are very concerned about what this means for the families that have established themselves here.”

Many metro-area districts began offering temporary virtual learning options in January after armed Border Patrol agents came on the grounds of a Minneapolis high school, tackled students and staff and released pepper spray during dismissal.

School leaders in Minneapolis, the state’s fourth largest district, had planned to end the temporary virtual option in February but decided to extend it through April.

In St. Paul, the state’s second-largest district, some 7,000 students enrolled in online learning during the peak of Operation Metro Surge. The district ended its temporary virtual option in mid-March. Volunteer school patrols, which community members organized to keep children safe during arrival and dismissal, also ended in early April.

The north suburban Fridley school district is still offering online options to families, but leaders there say most of the 462 students who were too afraid to attend classes in person are now back at school.

Still, more than 70 students have unenrolled from classes altogether, and many families still face food insecurity and financial crises due to the disruptions caused by the surge.

“Step by step we are coming back,” Brenda Lewis, the Fridley superintendent, told MPR. Many families, though, still have “significant needs” from food to rental and utility assistance.

Seventy-two children enrolled in December in Fridley schools are no longer attending, she added.

Teachers see signs of trauma as kids return

Hundreds of students in the Columbia Heights Public Schools hid in their homes during the surge of federal agents and took advantage of online learning. The district will end that option for secondary students this week. Primary school students have already been returning to in-person learning.

School leaders are expecting students to need time and help to adjust to in-person learning, said Stuenkel, the district spokesperson.

“For our students, it was safest to stay inside and in some cases, with blankets on the windows,” Stuenkel said. “We've had individuals picked up when they were out shoveling snow on their sidewalks or taking their trash out.”

The district is working with the Washburn Center for Children, a community-based mental health organization, to support students as they return to classes.

Teachers are noticing what they believe may be signs of trauma in the children they work with, as well as worry over missing family members who were detained, Stuenkel said.

“We are seeing nervousness, anxiety about being apart from their parents,” she added. “Some of the students fear that — will their parents be there when they come back (home)?”

Seven students from Columbia Heights, including 5-year-old Liam Ramos, were taken by federal agents during the surge. Stuenkel said all but one of those students has returned to Minnesota. One student decided to return to her home country of Ecuador with her mother after spending time in the Dilley Detention Center in Texas.

Still, there are more than 100 students who left the school during the surge and have not yet returned.

The district is worried more will leave at the end of the school year either because they’re afraid to stay or because the government denies their asylum claims, Stuenkel said.

“It's not like when people got out of detention or once ICE left, that all was well again,” Stuenkel added.



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The internet is changing and so is the way we search and find information. The trick behind all the search queries is nothing but a web crawler.

Yes, the machine that searches the web, retrieves data, and assists search engines such as Google in sorting the information into searchable indexes. Search engines would be nothing without crawlers. But do you know there are different types of crawlers lately?

Well, traditional crawlers like Googlebot have been using rule-based systems over the years to retrieve information and sift through links and draw results to user queries. This method is still effective, although there are a few limitations it comes with.

Let’s now introduce the new age of AI-powered crawlers, a next-generation genus of bots, based on artificial intelligence and machine learning. These crawlers do not just search the sites; they comprehend the sites. Through semantics, tone and context, they are going above and beyond in the web searching landscape.

Here in this blog, we are going to discuss the differences between traditional and AI crawlers, alongside how they will transform search in the future and share practical tips to make your content the best to thrive in today’s digital world.

So, let’s get started!

What are Traditional Crawlers? Traditional Crawlers

The old-fashioned crawlers, namely Googlebot and Bingbot are based on the following principles, scan, copy and index. They operate similar to librarians and index the information by use of HTML structures, metadata, and keywords.

    • Process: They search links, analyze code, and store page information in huge search databases.
    • Reliability: Suits well with static web sites and organized content.
    • Weakness: Problems with changing websites, with dynamic components, such as JavaScript-bulky applications, and subtle context.

As an example, a traditional crawler might not pick up the product information in a product page when it rewrites the class names or changes the structure of the product page, causing indexing errors. This has led the industry to smarter and AI-assisted means.

What Are AI Crawlers?

AI Crawlers

Intelligent crawlers go beyond bot to be more of an interpreter. Through the use of natural language processing (NLP), computer vision, and machine learning, they are able to comprehend content in a manner that can replicate human understanding.

    • Context Awareness: AI crawlers do not only read the text; however, they define meaning, tone, and purpose.
    • Flexibility: AI crawlers will be able to identify and retrieve suitable information even when a site alters the structure of the site.
    • Multimedia Intelligence: They are capable of processing video, audio and picture, and are therefore much more intelligent than bots that are rule-based.

Just think of a crawler that does not just read a blog post but knows whether it is a product review, a thought-leadership article or a how-to guide. This is the hope of AI-support crawling.

The Rising Dominance of Googlebot.

According to recent stats from Cloudflare, Googlebot is still dominating although AI crawlers are on the rise. Googlebot grew by 96 percent in May 2024-May 2025, with highs in April 2025 of 145 percent of the traffic of May 2024.

This spike was accompanying the introduction of AI Overviews by Google, which added generative answers to search results. The combination of old-style crawling with the use of AI improvements is the future of Google as the hybrid is establishing preconditions of the coexistence of the two systems.

How Does Traditional Search Work?

To value the changes, one should go back to the way the search engines used to operate:

Crawling/ Indexing– Robots search through internet sites and archive copies of pages on servers.

Ranking Algorithms– The ranking of pages depends on the relevance of the key words, back links and the freshness of the content.

Displayed Results– The Results display ads, organic links, snippets, and panels.

AI-Driven Search: A New Era

AI based search engines extend past keywords. They can:

    • Know natural language – responding to complex conversational questions.
    • Provide direct responses – eliminating the necessity to browse through several results.
    • Individualize findings – customize suggestions according to the behavior of the user.
    • Manipulate multimedia – The analysis of videos and podcasts, as well as voice recognition.

ChatGPT, Google Gemini, and Microsoft Copilot are the members of Large Language Models that can transform the search into a conversation instead of a list of search results.

AI Crawlers vs Traditional Crawlers: Key Differences

1. Understanding User Intent

Traditional Crawlers: Search query by a key word and scratch the surface without necessarily realizing what the query entails.

AI Crawlers: This is the next level, whereby the search engine goes beyond the keyword and interprets user intent, semantics and context to deliver even more useful information.

2. Scalability and Efficiency

Traditional Crawlers: Are able to construct a mass of data, but they can create duplicates or irrelevant records as they are not very aware of the context.

AI Crawlers: Smart filtering and prioritization of content, which creates a leaner and more efficient indexing which is more relevant.

3. Real-Time Adaptation

Traditional Crawlers are not good at keeping up with new structure of websites or newer technologies being introduced and thus require manual updating.

AI Crawlers): Learn and adapt in real time and recognize patterns and evolve without human interaction.

4. Content Depth and Quality

Traditional Crawlers– These are typically employed to access visible text and links, and they might not be concerned with multimedia, user-created and interactive content.

The AI crawlers use multimedia, dynamic content and even sentiment to produce a more refined view of the entire quality of pages.

Sharing Quick Wins for Crawlability

Technical SEO is essential even with the further development of AI. The following are fast fixes to increase crawlability:

Important pages should be served with server-side rendering (SSR).

    • Keep HTML lean, semantic and clean.
    • Enhance page speed- sluggish sites are conquered.
    • Provide clear, descriptive headings and titles (H1 -H3).
    • Blocking AI crawlers in robots.txt or llms.txt is not advisable.
    • Publicize verifiable factual, well formatted and prompt information.

Conclusion: Preparing for the Future of Indexing

The future of search lies at the intersection of traditional and AI crawling. While rule-based crawlers remain essential, AI-powered crawlers bring a new level of intelligence, adaptability, and context awareness.

For brands, this means rethinking SEO strategies and embracing AI Optimization (AIO) alongside Generative Engine Optimization (GEO). By preparing content for AI-driven indexing today, businesses can ensure long-term visibility, authority, and discoverability in tomorrow’s search ecosystem.

Stay updated with all the latest blog topics, here with us!

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