Hi, three points in reply to your post above: on word lists, on future comprehensible input resources and (from the other related thread) on learning plateaus.
Word lists: You asked whether I think it’s worth reading word lists. Yes I do think so, even if you don’t come across those words in the near future. But that’s not why I referred to two word lists above – I’ll come back to that point but first deal with the two word lists I referred to:
- The first was a word list for Euclid (where I recommended reading Euclid straight after), i.e. spend an hour or so max reading the word list then dive into Euclid. I think a blocker for Euclid might be getting stuck in the definitions when you get to the 2D objects – once you get past that it’s comprehensible input I think and so the word list is just to get you over that initial hurdle. i.e. you’re going to come across the Euclid vocab from the word list very quickly.
- The second word list I referred to was for a closed set of vocab to be used (if someone wanted to do this, although for reasons I explained above and will go into further below I don’t know if this is the best use of effort) to produce comprehensible input. i.e. take any list of say 1,000 frequently-occurring words, and generate all your comprehensible input texts out of that closed set of words. That way, you would know even before opening a comprehensible input text whether you’re up to the level (in terms of vocab) – if you’ve mastered those 1,000 words, you’re not going to have any vocab problems as you read. That was the idea. I’ve recommended before on this board learning all the vocab for a text (if you can) before reading, to take away the dictionary work interrupting the flow of reading.
To come back to the first point, I do think it’s also useful to spend bits of time reading word lists even where you don’t encounter the words in the near future. Why? It depends on what you do in your head when you come across a word you don’t recognise. I’ve tried to watch the process in my head and I think I do this: first I seem to try to fetch the word from my memory, but if it’s not there I then analyse the word into its components and see whether I recognise all/many of those and then try to either remember the word through that second route or at least guess the meaning using those hints. Reading good word lists/lexica helps you practice that analysis skill so that you’re better at doing it when you’re actually reading.
Future comprehensible input: For the reasons I explained above I think it would take a long time to generate sufficient comprehensible input in ancient Greek and so the best thing to do today is to dig deeper into the technical/non-literary resources out there to find things that are readable. But do I think the ultimate goal should be for teachers today to generate in parallel a large amount of comprehensible input (as a side exercise in Greek prose comp)? Not personally. The reason is I have a certain idea how future learning may/should look and this type of content generation wouldn’t be optimal. Let’s say you did want to get to the 1,950 hours (approx 5.8 million words of comprehensible input) or, say, another figure that’s been thrown around (although there’s debate around this) 10,000 hours (around the 30 million word mark). Is this possible? From what I understand about machine learning, yes it will be. Will teachers do this? Unlikely, and even if they did, it wouldn’t be as good as the hope I have in mind for the future.
My hope is that future students will engage with something like a comprehensible input engine (rather than a static comprehensible input text). Ancient Greek has a large data set over which unsupervised learning could crunch away and identify patterns and eventually produce content consistent with the patterns. The learning engine would then put content at you (say someone speaking to you in a virtual/augmented environment) and you’d engage, and each engagement would lead the engine to slightly optimise your learning path (like gradient descent). Millions of interactions would mean millions of optimisation iterations. I imagine that it will be really cool to say learn about battle strategies sitting behind the general on his horse and watching it unfold in front of you as he shouts commands etc. Underlying it will be however a teaching engine that is continually being optimised for your personal engagement. What a one-on-one teacher today does basically.
This may then lead to a flipping around of what teachers do (as at least one online learning platform has talked about) – currently a lot of teacher time is dedicated to delivering “passive content” (in addition to the active engagement in class), and then kids go home and do the real application, homework, on their own. Instead you could have the homework (the “on their own” time) with a teaching engine delivering in a continually optimised way) the “passive content”, and then the school time (with human teachers) would be like homework today, but under the supervision and guidance of a human teacher rather than puzzling through it at night alone without human guidance.
So for these reasons I don’t think human teachers today spending their time to produce massive quantities of comprehensible input would be the best use of resources – my guess/hope is that machine learning will cover that off (30 million+ words of interactive content may be easily done in the near future), and classics teachers should ideally stick to doing what they do best now, guiding students through the tricky bits. (I’m guessing this is what they do! I’ve never had a classics teacher.)
Learning plateaus: This comes down to expectations and processes:
- Expectations: When I look back to 6 years into classics, I think, that’s still “entry level”, only a few years in. Kids who start when they’re 7 are around 13 years old after 6 years of learning classics. There’s still a long way to go for them. I guess I think about classics in the same way as say professions – after 6 years there’s often still a long way to go to get to comfortable proficiency. So not feeling proficient after 6 years isn’t a sign of anything for me – I wouldn’t expect to feel proficient by then. I don’t expect to feel proficient for years, and so it doesn’t bother me as much – if you compare your timeline for proficiency to say learning French, you may have too high expectations and ask yourself why you’re failing, but if you instead compare your timeline for proficiency to say medicine, your expectations may come closer to the real timeline.
- Processes: If you’re not retaining what you’ve learnt when you go back to re-read it, that’s a knowledge capture issue, i.e. a process issue. Perhaps ask yourself, what are your directly doing to capture your knowledge so as to make the next read through easier? Simply “learning/memorising/translating” isn’t doing anything direct, that’s indirect. What are you directly doing for knowledge capture? What materials are you creating for your second iteration of the read through, e.g. materials you will read before your second read through, or margin notes to consult during your second read through? (I’ve done both facing the same problem.) First try to find out what process issues might be causing you to get stuck. I wouldn’t consult secondary sources for this though: diagnose yourself by continuing to read primary texts and figuring out exactly what in your mind is triggering the blank/hurdle (vocab? Grammar? Syntax? Word order? What the pronoun is referring to? Particles? Prepositions? Etc.) I did this and found that it was vocab for me.
Cheers, Chad