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This Week in Student Success

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It has been a minute since I last posted. What have I been reading, and what has happened in student success in the interim?

I've been on a translation kick recently, and a lot of my reading this week confirmed my thinking on the issue. It is not so much that we have a lack of information, but rather that there is a gap between what institutions think they are providing and what students perceive they are receiving.

Do students see the things that faculty believe that they are doing?

As much as it might portray me as a geek, I must confess to experiencing a frisson of excitement every time I see a new Tyton Partners survey report land in my inbox. Yes, they cover topics that are right in my wheelhouse. But what I really love is that they usually include student, faculty, and administrator perspectives on the same topic and have a knack for presenting the data in ways that highlight internal contradictions.

The latest Time for Class report is no exception. The report focuses heavily on AI and especially on the ways it has created challenges for faculty and forced some of them to rethink how they teach and, in particular, how they design and run assessments.

But for me, the most interesting thing in the report may have nothing to do with AI at all. Instead, I found myself fascinated by the disjuncture (Phil Hill argues that I am disproportionately attached to that word. I'm not. I just keep seeing them everywhere.) between what faculty say they are doing and what they are actually doing—or at least how those practices are being experienced by students.

Take this question about what practices faculty report using often or in every class. It sounds like someone swallowed the training schedule for the Center for Teaching Excellence.

Chart showing the teaching practices instructors report using often or in every class - providing clear expectations and using arubric and active learning come in at over 80%

I am sorry, but I am really not buying that 80-odd percent of faculty are using rubrics and active learning. Not at all, let alone often or in every class. Maybe 56% are using a dashboard if you count a quick glance at the LMS, but I'm not sure that really counts.

To me, this chart paints an overly sanguine picture of innovative teaching. Contrast it, for example, with the answer to this question about the major instructional challenges identified by faculty.

Chart showing top instructional challenges faced by instructors - cheating and attendance were rated highest

If most instructors are routinely setting clear expectations, using active learning, providing regular feedback, assigning authentic work, and designing courses around student engagement, why are cheating and attendance still the two biggest challenges?

That does not necessarily mean faculty are being dishonest. It may mean that faculty and students define these practices differently. It may mean that instructors are using them occasionally rather than consistently. Or it may mean that many of these practices are being implemented in ways that students do not experience as particularly meaningful. Whatever the explanation, the two charts sit uneasily beside one another.

But a little side comment attached to a later discussion of workforce readiness suggests what might be going on.

When asked whether they were incorporating real-world projects into their courses, between 58% and 73% of faculty said they were, depending on whether workforce readiness was a high priority for them. Yet only 26% of students reported completing a real-world project in a course.

Chart showing workforce activities instructors are implementing - between 73% and 58% say they use them but only 26% of students say they see them in courses

That is not a small gap. Maybe faculty and students define "real-world project" differently. Maybe these projects are concentrated in a subset of courses. Maybe faculty are counting assignments that students do not perceive as particularly authentic or connected to the real world.

I don't know the answer. But when nearly two thirds of faculty say they are assigning real-world projects and only a quarter of students say they have completed one, it suggests that something is getting lost in translation.

Does this disjuncture extend to other teaching practices, such as active learning? If students do not recognize the things institutions believe they are providing, then measuring implementation may tell us very little about actual student experience.

We may have reached the point where most faculty know the language of good teaching: rubrics, active learning, authentic assessment, career relevance. The question is whether students are actually experiencing those things in meaningful ways.

I wish Tyton had explored this disjuncture in more detail because I suspect it lies at the heart of much of the engagement challenge in higher education and, by extension, student success itself.

Girls just want to get paid

A new report from the Strada Education Foundation digs into data from its 2025 State Opportunity Index to examine who gets paid for work-based learning. The results are disappointing.

Work-based learning—and student employment more broadly, including internships and apprenticeships—is becoming increasingly important in helping graduates secure meaningful employment. That point was reinforced for me by a recent report from ZipRecruiter that also landed in my inbox. Looking at recent graduates, ZipRecruiter found significant differences in employment outcomes based on prior work experience.

Which makes Strada's findings all the more troubling.

Chart showing 81% of recent grads with some college work experience were employed compared to 40% without some college work experience

But a lot of internships and work-based learning is unpaid, severely limiting access for those for whom working on an unpaid basis is simply out of the question. Strada found a significant difference in the number of paid opportunities between four-year schools and two-year institutions. But within these broader categories, women, first-generation students, and students from underrepresented racial and ethnic groups were far less likely to be paid for work-based learning opportunities.

Chart showing Work-based learning participation at 4-year and 2-year institutions by 1st gen status and gender
Chart showing Work-based learning participation at 4 year and 2 year institutions by race and ethnicity

The disproportionate impact at two year institutions is particularly concerning. We increasingly tell students that work-based learning is essential to career success while simultaneously making many of those opportunities financially inaccessible, especially for those who need it most. In other words, we have translated the importance of work-based learning but not yet translated access to it.

Birds

I found a newsletter listing of 100 of the greatest bird names. I found it useful as a potential source of new nicknames for annoying collaborators or colleagues.

Who amongst us, for example, has not had to deal with a Screaming Cowbird?

Image of a Screaming Cowbird

Not to mention an Oleaginous Hemispingus (I once worked with several of those).

Image of an oleaginous Hemispingus

There are many others (Bananaquit, Obscure Berrypecker, etc., etc.). But you, dear readers, you are the Charming Hummingbirds of my life.

Image of a Charming Hummingbird

In defense of progress

The latest U.S. Department of Education Condition of Education 2026 report contains some good news for those of us focused on student success. Given how much of the conversation centers on crisis and decline, it is worth occasionally remembering that many of the metrics we care about have actually improved over the past decade.

Some of the highlights for me include the following.

At two-year institutions, completion rates were higher across every student category for the 2016–17 entering cohort than for the 2009–10 entering cohort. First-time students, returning students, full-time students, and part-time students all saw gains.

Image showing an increase in the outcomes for students at 2 year institutions - completion rates are higher for the 2016-17 cohort compared to the 2009-10 cohort

Completion rates are also higher for the 2016-17 cohort than the 2009-10 cohort across all time frames in both 2-year and 4 year institutions.

Chart showing that completion rates increasing at 4, 6 and 8 years for the 2016-17 entering cohort of students compared to the 2009-10 cohort.

Sometimes the translation problem works in the opposite direction. We have become so accustomed to narratives of decline that we overlook evidence of improvement. But we shouldn’t do that, instead we should celebrate this progress.

Distrustful, skeptical, still interested

Public Agenda has a subtly nuanced and useful report examining the experiences of young men and their engagement with civic institutions, including higher education. The authors map respondents along two dimensions—trait orientation and political alienation—and use those dimensions to create a set of personas that help explain how different groups of young men view institutions, opportunity, and their place in society.

The first dimension, trait orientation, clusters young men into two categories based on individuals’ conceptions of manhood. The relational orientation emphasizes the self in relation to others and social obligations, while the self-driven orientation emphasizes the self as a domain of effort and an agent of achievement. The second dimension, political alienation, measures the extent to which young men feel disconnected from and unrepresented by public institutions and is binarily defined as trusting and distrusting.

By combining these dimensions into a 2×2 matrix, we attempt to understand variation among young men by linking internal conceptions of manhood and personal identity with external perceptions of belonging and institutional representation. The framework proposed here is not intended to be all-encompassing but to serve as an analytical lens for interpreting how young men make sense of their place in what they describe as a complex world.

Image showing the 2X2 framework of different types of young men

In terms of higher education they describe a situation where the majority of men are distrusting of higher education or simply don’t see the ROI.

Chart showing that young men believe college is a quesionable investment

Young men especially question the extent to which higher education will prepare them for a career.

Chart showing that asubstantial numbers of young men believe that colleges do not align with workplace needs though it varies with ethnicity

Despite this, a large percentage of young men without a degree indicate that they would like to obtain one.

Among young men who do not have and are not currently pursuing a degree, 80 percent would like to earn one, but they identify challenges.

Chart showing that a substantial proportion of young men would like to earn a degree but face various barriers including cost

And those who did complete a degree see it as paying off in multiple ways.

Chart showing that young men with college degrees believe that it helped them grow personally, professionally and socially

I find the contrast between the lack of trust and negative perceptions of ROI and yet the continued desire to get a degree fascinating. One of the things this suggests to me is that when it comes to men we have a translation problem in higher education. The challenge may not be convincing young men that education matters. It may be helping them translate higher education into the futures they want.

It looks like they are hosting a webinar on this report on July 9th.

Musical coda

Something to hold on to


f you found this issue useful, feel free to forward it to the Charming Hummingbirds in your own life.

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Show your hands honor for the strange power they bring you

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On designing finger-friendly interactions. (7,700 words. 38 playgrounds.)
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The Pancake-Flipping Problem

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Bill Gates' only academic paper is about flipping pancakes. His was combinatorial. Ours is tribological: the wedge mechanics, beam stiffness, and friction coefficients of getting a thin blade under a five-inch ricotta cake without tearing it.
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Research on AI tutoring ran into a problem: Most students wouldn’t use it

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Sign up for Chalkbeat’s free weekly newsletter to keep up with how education is changing across the U.S.

A group of Stanford University researchers started with one question: Could a human tutor providing motivation and support get students to spend more time working with an AI literacy tutor?

The answer turned out be yes — but only between one and four minutes more per week. Many students never logged on at all.

That left the researchers with a different set of questions.

“A key finding that we weren’t even meaning to test is that having access to this AI tutor isn’t the same as using it,” said Carly Robinson, the lead author on the study released Wednesday and the director of research for the SCALE Initiative at the Stanford Accelerator for Learning.

Robinson said this doesn’t necessarily mean AI tutoring doesn’t work. “We never really got close enough to the dosage needed to find out.”

The study adds to a very limited research base for AI tools in education as many school districts are looking for ways to maintain or increase tutoring that costs less than hiring people to do the work. It also aligns with the experience of Khanmigo founder Sal Khan, who recently acknowledged that students didn’t engage much with the AI tutor he initially hoped would revolutionize education.

Robinson and her colleagues worked with two school districts serving high-poverty populations using the same AI learning platform in different tutoring settings. Neither the districts nor the learning platform are named in the study.

In one school district, elementary children were supposed to use the literacy tutor during homework time in an afterschool program. In the other, early elementary students were supposed to use the AI tutor during class time.

The learning platform provider said that students would show improvement in their reading skills with at least 30 minutes of use a week. The goal was for students to complete two 30-minute sessions each week.

Students were randomly assigned to either work independently with the AI tutor or with guidance from a specially trained person — afterschool program staff in one district and middle school students who were strong readers in the other — who could provide motivation and tech support.

Other research has found that the relationship between tutors and students can be a key factor in tutoring effectiveness. Researchers wanted to know if having human support would increase engagement with the tool and raise test scores over the course of the school year. They also thought they might learn that students working independently made more progress because they spent more time on the platform and less time chatting.

But it turned out both groups of students barely used the platform, and having a human tutor didn’t increase the likelihood that students would log on.

Students who did use the platform spent about 13 minutes in a session in the afterschool setting and almost 26 minutes in a session when they used it in class, enough time to probably derive some benefit, Robinson said.

But the low rate of participation meant students in the afterschool setting averaged only about two minutes a week on the platform when they worked independently and three minutes when working with a tutor. In the other district, younger students working independently in class averaged a little more than five minutes a week on the platform, which increased to almost 10 minutes a week when they worked with a tutor.

There was no meaningful difference in the reading scores of the two groups.

The bigger finding, Robinson said, was that many students didn’t log on most weeks. And those that did log on were more likely to already be higher performing and not identified for special education.

Researchers don’t know why students didn’t use the platform. Perhaps some didn’t find it engaging, or perhaps teachers directed students to spend their time in other ways. Those other activities may have been beneficial, Robinson said. The study didn’t compare outcomes for students who used the platform and who didn’t use the platform.

Robinson said she still sees enormous potential for digital tools to provide personalized instruction at scale. But before districts pay for a license, administrators need to look at more than whether there’s evidence a particular AI tool improves student learning.

“The challenge isn’t just building good AI tools,” Robinson said. “It’s really getting students to use them, and that seems to take the same type of intentional design that we’ve learned matters with other ed tech interventions and tutoring.”

Erica Meltzer is Chalkbeat’s national editor based in Colorado. Contact Erica at emeltzer@chalkbeat.org.



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Is it the box or the “yes” that does not fit?

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There is a famous puzzle where a boy takes a 5 foot fishing rod on a bus that doesn’t allow objects taller than 4 feet on by packing it in a 3 by 3 by 3 box (which has a long diagonal over 5 feet). The idea being: such a box is no more than 3 feet tall in when laid flat on any side. Common english doesn’t routinely use precise definitions of diameter or caliper width.

We can generalize to the following box in box question:

Are there cases where you can put an d by e by f box inside an a by b by c box when d + e + f > a + b + c (allowing a rotation)?

Currently a few of the common AIs answer as follows:

  • GPT-5 mini:

    Yes — it can happen. For axis-aligned rectangular boxes (orthogonal placement) you can fit a d×e×f box inside an a×b×c box even if d+e+f > a+b+c, because the sum of side lengths is not the relevant constraint for containment; what matters is that the three dimensions of the inner box can be matched (possibly after permutation/rotation) to the three dimensions of the outer box so that each inner dimension ≤ the corresponding outer dimension.

    [tries and fails to work some examples, but does not change its conclusion]

  • Claude Haiku 4.5:

    This is a fascinating geometry problem! Let me think through it carefully.

    ## The Short Answer

    **Yes, it is possible** to fit a d×e×f box inside an a×b×c box even when d + e + f > a + b + c, if you allow rotation.

    [tries and fails to work some examples, but does not change its conclusion]

For somebody familiar with mathematical reasoning, the failures to generate examples are a strong clue to double check the result. The LLM do a lot of heavy lifting in an extended dialogue. For somebody new to this (say a student looking for a puzzle and geometry coach), the confidence may lead them to stick with the answer.

In fact I am not even sure if I am remain convincing when I say the answer is in fact “no.” (I wrote about this in 2013, and the Cauchy’s surface area formula would be available to quickly prove this since 1850.)

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Two Truths and a Lie as Played by Someone Eager to Share Their Experience Encountering Something Called “The Bog Rat”

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All right, here we go. I’m so bad at these icebreakers, and you all had such interesting facts.

First one: I’m a Beyoncé superfan, and I’ve seen her in concert seven times. One time, my friends and I waited behind the venue for like two hours after the show, and she signed my T-shirt before getting on her tour bus.

Second: I went to middle school with a guy named Dennis Schröder. He plays for the Cleveland Cavaliers now. I’m not a big NBA fan, so I don’t know how much he plays, but I shared a few classes with an NBA champion.

And the third one: When I was twenty-two, I visited my sister in Louisiana. We were heading to some party and must’ve gotten turned around because suddenly we were out in the middle of nowhere. The sun was going down, there were no street lights, and, of course, her car broke down. No warning. The car just turned itself off. As we got the car to the side of the road, thunder clapped, and it started to pour. That’s when we met the Bog Rat.

Yes, Gary, Bog Rat. B-O-G R-A-T, just like it sounds. They call it the Bog Rat, but it was more like a five-foot-tall capybara that could stand up on its hind legs. Sort of like Splinter from the Teenage Mutant Ninja Turtles if he were fatter.

At first, we were freaked out, but he was actually very friendly. He reared up, looked us in the eye, and said, in a slight English accent, “Car trouble, is it?” We just sort of nodded, and he goes, “That’s too bad. Let’s get you out of the rain, Tyler and Samantha.” Mind you, we’d not said anything to him yet, much less told him our names.

Gary, can you wait until I finish the thing about the Bog Rat before you guess which one is the lie?

So we followed the Bog Rat down this path. He held an umbrella over us for the half-mile walk, sort of like if the butler in Gosford Park had been a large, nude, anthropomorphic rat. The path ended at this enormous Gothic mansion. He led us inside, and there were floor-to-ceiling bookshelves crammed full of books, but all the books were written in Bog Rat.

Yes, Gary, Bog Rat was the name of the beast and also the name of his language. Just like Smurfs, where they are Smurfs but they also speak Smurf.

Anyway, he had several guest rooms, and he let Samantha and me stay there overnight. When we woke up, he’d cooked us this wonderful Bog Rat soufflé. We walked back up to the path, prepared to try to fix my sister’s car. But in the spot where we left my sister’s beat-up Honda Civic, there was now a jet-black Rolls-Royce. The Bog Rat was like, “Here’s your car.” And we’re both like, “This isn’t our car.” But he opened the glove compartment and pulled out the car’s title and, sure enough, there was my sister’s name. “A gift,” the Bog Rat said and then disappeared back down the path.

I’m sorry, Gary. I didn’t realize that I’d opened the floor for stupid questions. No, the Bog Rat did not make us a soufflé made out of Bog Rat meat. It was a traditional Bog Rat soufflé containing carrots and Stilton cheese.

Nevertheless, we got into the Rolls-Royce and drove off.

The next day, we came back to the exact same spot with some flowers and candy for the Bog Rat as a thank-you. We found the path and followed it for over two miles. No mansion. It was gone. Vanished.

After searching for two hours, we went up the street to a gas station to get some refreshments. As we walked in, the wizened old lady working there looked out the window, saw the Rolls-Royce, and said, “Don chu assochiate wit no Bog Rat. He’s no good.” We’re like, “No, we met him. He’s nice.” And she shakes her head and goes, “Bog Rat ain’t no good.” Then she nodded toward the window. Outside, the Rolls-Royce was suddenly surrounded by cop cars. “This Rolls Royce, with this license plate, was seen leaving a crime scene three weeks ago,” the cops told us. Samantha and I were both like, “No, we just got the car yesterday from the Bog Rat,” which of course sounded insane. Anyway, they opened the trunk and found a bag containing the severed remains of a lady who had gone missing several weeks prior. Since the car was in my sister’s name, the cops hauled her away. She’s currently serving life in prison.

Anyway, I guess that’s it. Put your guesses in.

Okay, the lie was number two, the Dennis Schröder one. He is from Germany, and I’m from Kentucky. People forget he’s German, because his name is Dennis.

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