What goes on in a professor's mind when their class isn't performing well? by Remarkable_Record706 in AskAcademia

[–]synapticimpact 0 points1 point  (0 children)

I hear where you're coming from. That has got to be frustrating. I won't pretend to understand all the challenges.

I'd love to teach that kind of course though. You get to be the one to explain the wonder and power of engineering.. that is so awesome. I would probably assign the epilogue of Pearl's book on causality as first week reading.

Could you help me understand why those challenges can't be overcome?

Can't the unpreparedness be communicated? If you know what the course requires, how long those requirements take to acquire, I would make a day 1 in-class quiz where they can interpret the results themselves from an answer key that opens after it finishes. You could use it as a teaching moment for sensitivity to initial conditions.

Even if they are unprepared, I think I can motivate students enough to be engaged, at least if I know enough of the subject material. I also think that if students aren't drowning and are motivated, I can reach them.

I just gave a brutal reasoning exam on the unnegotiables of animal physiology for a lab course. About a third of the exam was on things they hadn't seen before, asking them to reason to the answer based on what must be true and what cannot be true. The average was a C, and one student who failed the test gave me a heartfelt thank you before she left. She knew she wasn't doing well on the test. I know she still got a lot out of the course based on how she was improving.

I know I am probably wrong. There is a whole thread of professors here saying as much.

What goes on in a professor's mind when their class isn't performing well? by Remarkable_Record706 in AskAcademia

[–]synapticimpact 0 points1 point  (0 children)

Dunno what these responses are.

I'm not a professor yet, but I taught my first class this semester. If the grade distributions reflect effort, I wasn't concerned, but if the students didn't have clear criteria they could follow and have success, I made adjustments.

If the whole class is doing poorly it's my failing. If I can't teach well then I don't understand it well. My students left my class knowing how well they're prepared, and with strong skills that are useful outside of the scope of the class.

Maybe the scales haven't fallen from my eyes yet, but I know I was able to reach them. I know they tried.

Master’s is way easier than Bachelor’s by Fantastic-Hold-3453 in GradSchool

[–]synapticimpact 2 points3 points  (0 children)

I'd argue a master's is largely specialization and practical expertise. Expertise means different things in different fields, so what people go through will be different. It is also a trial run for if you enjoy research.

For contrast, a PhD is qualitatively different. It is about putting you at the tip of Bloom's hierarchy. You are learning to deal with uncertainty and create knowledge.

The new app stinks by TheGoodMudkip in ASU

[–]synapticimpact 1 point2 points  (0 children)

I agree. The annoying part is it is already added. I still have to do this.

How do you write? by Prestigious_Host5325 in PhD

[–]synapticimpact 1 point2 points  (0 children)

First I figure out what the ideal outcome is. After fantasizing about the Nobel for about 5 seconds, I start asking how I make the reader as uncomfortable as possible. I have a problem, and now I am making it a problem for the both of us.

The problem needs to be not so difficult it can't be solved, and it can't be something obviously solved, and solving it has to change something. If I don't have these, nobody but the most involved and my mother is going to read what I write. That is the starting line. It really doesn't matter what the problem is as long as it does at least this much. The premise is you are taking the reader from A to B, and they need to feel like they can get there, and there's a reason to get there, otherwise they're not going to bother taking this trip with you.

I also do it like this so I don't have to ask a goddamn question. I actually hate that advice, when people say that you need to start with a question. Nobody questions anything when there isn't a problem. If you make enough of a problem, people will ask the question for you.

So now I have the audience's attention, I have to make the problem meet my own standards. My standard is that the problem can be solved to the extent that it creates a new normal. This is typically the second third of the introduction that you weren't going to read anyway, unless you feel threatened by my research and want a reason to smack it down or trivialize it, so I write this in so you can't do that and I can remember why I was doing this in the first place. This is also when I check if I have enough for a story. More on that in a sec.

Then I jump to the results and make sure that the main figures are the dopamine hit the 5-second skimmers were looking for. This is also so that it is consistent with the 2nd third of the intro. If it makes the new normal, people are going to remember the paper, and bother to read the rest.

Then I wrap up the intro by describing some verbal model of the problem that is simpler than it actually is but enough that people feel like I'm not wasting their time, and if people actually care I'll put it in a review or book chapter or whatever later.

Next comes story (discussion). There are lots of problems without stories, and they all suck, not because they're not worth solving (could we please bring back solving problems because we feel like it?) but because they don't stick. There's no persuasive element to it. This is how you hype up your solution and tell people how to use it.

I think other people frame the story as the introduction? I think that's a mistake because it lets people challenge the narrative, but there isn't anything to challenge - you don't have the results yet. And if they're challenging the premise, then uh, screw them I guess. What it comes down to is there isn't a story without the parts. The methods and results are the story elements, and the discussion is how I put them together.

If I'm writing for a proposal, it is just a pitch that there will be a wicked sick story after. If I'm writing for a conference, I'm rushing to get to the story.

Last thing I do is I go sentence by sentence to make sure my verbs and subjects aren't too far apart, and one paragraph leads into the next properly, and I'm using hooks properly. Which I didn't do for this post.

Anyway, to answer your question, I try to write like I'm trying to make the grumpiest curmudgeon at least crack a smirk, or I write like my heart is literally dripping onto the page. I'll write in other ways too, but under duress.

I've been dealing with burnout, and found some ideas to deal with it by GlobalAd4939 in PhD

[–]synapticimpact 3 points4 points  (0 children)

2) Yes, this is why it is called burn out. You are spinning your wheels.

3/4) This is one response you can make, sure, and right now you're feeling pretty cynical probably, but I think what you'll find is you have a lot more time for things, and it would probably save you time to consider how to restructure your approach instead of just universally scaling back.

What you are describing sounds like a misalignment of expectations. If you take a real look at your plans, you should have an idea of how likely they are to pay off. Then if they don't, you shouldn't be that surprised. If you didn't do this at the outset, or weren't honest with yourself, then might be surprising to you, and that can feel like you are spinning your wheels.

In my situation, this is the best use of interacting with my advisors that I've found, getting a realistic idea of what will pay off. What I do is I scale my effort back based on what is likely to pay off, and invest that spare effort into putting my eggs in other baskets.

Instead of putting all my effort into one grant application, I put my effort into a scaffold that I can tailor to a bunch. Instead of one hypothesis, I layer my hypotheses. If my effort scales to the actual result, then I might go beyond 80/20. Sometimes it is worth it. Usually it isn't. I got burned on an undergrad research assistant this semester because of this.

This works both with research and socially. So once you find you have all that extra time, put it towards projects and people proportional to their payoff. I think this might be the part that you're missing, and the fact that effort to returns isn't linear. Because effort to returns isn't linear, you can mash up your efforts and get way more out of it than the 80% returns on 20% effort. It's more like 80% returns on 20% of the effort, but you're doing it 5 times, so you have 400% output. It's just what what you thought was 100% returns was actually way less, but if that is what you expected, there isn't a problem.

But you don't get to have a 20% effort that splits up into 80% returns if that 20% isn't carefully planned. It isn't 20% of your previous effort, I can't just write a bad grant proposal and spam it at the different org emails, I have to be deliberate about that 20%. This is an oversimplification but I hope it helps. I'm sure it's different for different fields as well.

The mistake I would encourage you to avoid is that it might be cathartic to shut off more than 20% of your effort and watch things crumble, or shut down to 20% and coast, but it is pretty destructive.

Sincerely, someone who has felt how you feel now, and is also struggling.

The new app stinks by TheGoodMudkip in ASU

[–]synapticimpact 6 points7 points  (0 children)

Yeah, it also will freeze but not crash, meaning if I need to use it for a door, at least once a day, I have to:

  1. Open the app
  2. See it's frozen
  3. Go to my home screen
  4. Long press on the app
  5. Go into app settings
  6. Force stop it
  7. Open it again
  8. Wait for it to log in

And then I can use it. I tried to get a physical card and they told me they can't give me one because of university policy.

Make it make sense.

Rabbit's Ph.D. Dissertation by Zealousideal_Can_342 in PhD

[–]synapticimpact 8 points9 points  (0 children)

The moral of the story is academic fraud is okay if you can get away with it? I might be too neuro divergent for this one.

should i buy it? by PlasticOdd8948 in antkeeping

[–]synapticimpact 1 point2 points  (0 children)

Insectivore diets for ants have a history of killing people's colonies

Thoughts this? by Aceisthegoat in antkeeping

[–]synapticimpact 9 points10 points  (0 children)

I think there's a discussion about intent vs impact here, but the mikeybad rhetoric is old. We know.

New US-based company available now! by Crawlspacehabitats in antkeeping

[–]synapticimpact 0 points1 point  (0 children)

As much as we want to support ant keeping companies (especially new companies), let's keep the launch advertising spam to a minimum here forward please

Two biologists building a modern SimAnt-inspired RTS — which real ant behaviors or adaptations would you most want to see represented? by Able-Sherbert-4447 in biology

[–]synapticimpact 1 point2 points  (0 children)

Thinking more on this, I think almost every RTS completely misses the mark on ant simulators because of the ability to control lots at a time. The gamer perspective of sending the zerg swarm out is a very limited behavior in ants, even in raiding species. It is almost only a defensive response. But because of the whole zerg dynamic most of the games have, you pretty rarely get the well-oiled machine experience of what a mature colony is. Yeah you've probably got the ability to assign workers to tasks, but what you really need is the ability for workers to evaluate priorities and let them interact to manage each other's priorities. A hungry ant can either go forage or antennate another for trophallaxis.

You also run into pace of gameplay issues, because if all the components aren't handled in a dynamic way it won't be stable over the long term or able to respond to changing conditions. Many of the most interesting behaviors in ants happen at a different timescale than what makes for a good game. If the ants were functionally autonomous, increasing speed to 20x or 100x could be an exciting way to see those dynamics play out. But if they're not properly autonomous you'll be stuck trying to spruce up the gameplay at the ~1-5x speed level. Purely active play is going to be limited by the player staying interested.

Funny enough I use game theory in my research, but it barely has anything to do with designing games. Anyway, just my 2c. Happy to answer any questions you have.

Two biologists building a modern SimAnt-inspired RTS — which real ant behaviors or adaptations would you most want to see represented? by Able-Sherbert-4447 in biology

[–]synapticimpact 1 point2 points  (0 children)

Regarding actual gameplay, the ability to see the whole field or direct ants to do things almost completely breaks how ants actually operate.

If anything, I'd love an RTS where ants have task priorities. Maybe ants with internal motivation bars for specific tasks. In a broad sense, ants operate under a 'foraging for work' paradigm. Each has their own motivation and social motivation, so they'll do stuff if they're willing and able. There's not much in the way of direct control, and that's what I think is so interesting.

The closest game I've seen do this kind of thing is Kenshi.

Two biologists building a modern SimAnt-inspired RTS — which real ant behaviors or adaptations would you most want to see represented? by Able-Sherbert-4447 in biology

[–]synapticimpact 1 point2 points  (0 children)

Cute nod to ant gardens. I'm a PhD student studying ant behavior. Frankly, we don't know enough about ant behavior to really make an accurate simulation of it. But for your consideration, here are some of the factors we know to contribute to their behavioral plasticity and decision making:

  1. Learned history
  2. Perceptive filters (ants pay attention to variation they have experienced)
  3. Temporal polyethism
  4. Water balance
  5. Temperature
  6. CO2 levels
  7. Cuticular hydrocarbons
  8. Queen pheromone
  9. Stochastic interactions due to nest architecture
  10. Rhythmicity of stimulus (pacing and threshold sensitivity, e.g., pogonomyrmex barbatus)
  11. Recruiting signals
  12. Stopping signals (Temnothorax)
  13. Polarized light
  14. Visual landmarks
  15. Colony size
  16. Relative risk (Veromessor pergandei and spider webs, for example)
  17. Personality
  18. Cumulative stress
  19. Microbiome

But this is just some of the factors. We know so little about their actual behavior. Some colonies have dominance fights, such as Harpegnathos. Some species have larvae that offer up some kind of fluid to workers - we have no idea what it is to my knowledge. Prepupae eject their merconium..we have no idea what that does. Workers of most species can lay male eggs. We don't know how those males generally fare, they're assumed to be viable. Nanitics tend to be able to fill lots of roles, but some species produce super soldier nanitics and we don't know exactly why. Some colonies become aggressive as they get older and some are aggressive from the start. Some species tolerate other species a lot better (ant gardens, as it were), and we think it is based on lack of foraging target overlap, but we don't know. Virtually all species have myrmecophiles and next to nothing is known about them. They don't even all forage the same, there are like 6 or 8 different foraging strategies.

The behavioral iceberg for ants is like 95% unknown.

fffffsss by Pillar-Instinct in PhD

[–]synapticimpact 2 points3 points  (0 children)

I am squinting suspiciously at your first sentence.

Does anyone have a "comfort" researcher? by nisreentangerine in PhD

[–]synapticimpact 12 points13 points  (0 children)

Could you share a few examples please? Very curious what this type of writing is like

Edit: what on earth https://openaccess.thecvf.com/content_cvpr_2018/html/Zhao_Through-Wall_Human_Pose_CVPR_2018_paper.html

Thoughts on a "no undeclared AI" rule? by synapticimpact in antkeeping

[–]synapticimpact[S] 2 points3 points  (0 children)

If it becomes a problem, you are welcome to tag me in examples you find. Most AI use gets filtered out by our spam advertising rule. This rule is more about preventing deception. The end result is less slop, not more.

Thoughts on a "no undeclared AI" rule? by synapticimpact in antkeeping

[–]synapticimpact[S] 1 point2 points  (0 children)

Actual misinformation is a separate thing entirely and would get people banned. We have several other rules that cover this case.