Course FAQ (Summer 2023)

The following are answers to frequently-asked questions from previous semesters of the course. You’re responsible for knowing any content on this page on the first day of the course; we also may add to this page as the semester goes along, but you aren’t responsible for knowing anything added after day 1.

I did not get enough responses on my survey. What should I do?

If you attempted to gather responses to a needfinding or evaluation survey and struggled to get sufficient responses, you may simulate your responses. This can come in the form of answering your own survey with different personas in mind, or you might also try using an AI tool like ChatGPT to generate sample responses.

Note that you should only do this if you attempted to gather real responses but were not able to obtain enough. Include a link to your real survey and disclose that your data is simulated due to low response rate. Remember, the purpose of these assignments is to go through the exercise of needfinding and evaluation, and for the exercise, simulated data is acceptable. In the real world, you would never want to use this form of simulated data.

Will I be penalized for failing to adhere to JDF on my submissions?

Yes and no. The primary purpose of JDF is standardize a document format in a way that lets us give useful expectations about assignment submission lengths that include both text and figures. So, there will be major deductions if you deviate from JDF in a way that breaks that purpose, such as deviations from the prescribed margin size, text size, typeface, and line spacing.

That said, the secondary purpose of JDF is to make your submissions look clean and professional, and to prepare you for the potential world of academic writing where you’re expected to adhere to document formats. So, if there are any cosmetic deviations from JDF that jump out immediately, they may be subject to small deductions. That would include things like: the formatting of section headers, paragraph spacing, and caption formatting.

We won’t be going through your document with a ruler ensuring that your spacing is exactly 1.26 instead of 1.25 or anything like that, though. If deviations can’t be identified during the normal course of viewing the document, you’ll be fine.

If I previously enrolled in this class and withdrew/failed, can I reuse my work?

If you already started this class and completed some of the assignments, it’s okay to resubmit them or reuse content from them: we don’t consider that self-plagiarism. That said, we offer no guarantee that the assignment descriptions haven’t changed, so make sure that your submission meets the current criteria.

Who grades my assignments?

Each assignment, you’re randomly assigned to one of our team of graders. They grade their assignments and send back the results. We then do some calculations to ensure that the graders are grading generally consistently and adjust accordingly if not.

After that, we run a batch import script to upload the grades to Canvas. Because of the way Canvas works, it lists all grades and feedback as coming from whoever runs the batch upload script; however, this is probably not the person who actually graded your assignment. This is why we ask that if you have questions about your feedback, that you share them with all graders, so that we can ensure your actual grader can see your question.

The syllabus states that the deadline is 11:59PM UTC-12 on Sundays, but Canvas reflects a later deadline. Which is correct?

We add some extra time in Canvas for two reasons: one to account for daylight savings shifts (since if we went strictly by 11:59PM UTC-12, it would mean deadlines would shift back and forth an hour by most of our time zones) and two to allow a grace period around the submission window in case Canvas is momentarily slow, your internet goes out right at the deadline, etc. Canvas’s deadline is always later than 11:59PM UTC-12, so as long as you aim for that deadline you’ll be fine; you will not be penalized as long as you submit before Canvas’s deadline, though.

Note that we do not encourage trying to submit right against the deadline; the reason we use UTC-12 as our time zone is to make deadline-tracking simpler. You know that as long as it’s before midnight wherever you are, you’re still eligible to submit.

I feel that my assignment was graded incorrectly. May I request a regrade?

If you feel that your assignment was graded incorrectly, you may post privately to the course forum within one week of receiving the grade to request a grader look at your disagreement with the grade you received. Requests later than one week will not be accepted; this is because historically, we find that requests submitted later than one week are almost exclusively “fishing” for extra points to make up a little lost ground at the end of a semester rather than reflecting a true disagreement with the grade and feedback received.

Note that graders will not simply regrade an assignment from scratch; instead, you must be prepared to articulate where and why you feel you deserve more points.

I was added to this class from the waitlist, how do I get added to Canvas?

You should receive access within about 24 hours of enrolling in the course. If after 24 hours you still cannot access your course materials, please contact

Is there a way to use JDF without using LaTex?

Georgia Tech students get free professional license to OverLeaf, an online browser based LaTeX editor:

It works much like an online IDE/interpreter and you don’t need to install anything locally—you can just import the JDF LaTeX template and compile directly in the browser window and see the results. There is a GitHub integration that lets you push directly from the page and PDF export as well.

If you don’t want to use LaTeX, there is also a word template (.docx) and a Google Doc template here:

You can export a Word doc to PDF in both MS Word and OpenOffice. Google Doc has export to PDF as well. Our recommendation if you don’t want to use LaTeX is that you make a copy of the template and enter your content directly.

Can I form a study group?

Sure, and please do! Just make sure that when it comes time to actually write up designs and assignments that you’re doing work individually, of course. Part of our plagiarism-checking workflow checks students’ work against each other, so make sure to collaborate at the level of ideas, not at the level of designs or text.

Are forum posts considered course content that should be cited?

If someone points out a resource on the forum you don’t need to cite that the forum was the place where you found out the resource exists. If someone’s forum post is actually the source itself, though, you’d be expected to cite that. Otherwise, you should generally cite videos, articles, journals, or other intellectual works.

Can I cite Wikipedia?

Generally speaking, citing Wikipedia for an academic paper is not a good idea, and Wikipedia even agrees. If you are citing work that was original to academic literature, you should reference the original work and use your own prose. After all, Wikipedia is a conglomeration of prose from others’ interpretations of the sources referenced for a given subject matter. it is an abstraction and summary of secondary sources. Those interpretations may be inaccurate and paraphrasing them again in your own words might be a complete deviation from the original work.

It is always a good idea to cite the original work, interpret it yourself, and use your own prose to describe it. If you’re citing Wikipedia because Wikipedia is quoting an original work, then you would still want to cite the original work, which is typically cited at the bottom of the Wikipedia article (and if it isn’t, it’s even less likely that you want to cite the claim as it appears on Wikipedia).

Wikipedia actually has good information on Academic Use.

Can I use AI-based assistance?

We treat AI-based assistance, such as ChatGPT and Github Copilot, the same way we treat collaboration with other people: you are welcome to talk about your ideas and work with other people, both inside and outside the class, as well as with AI-based assistants. However, all work you submit must be your own. You should never include in your assignment anything that was not written directly by you without proper citation (including quotation marks and in-line citation for direct quotes). Including anything you did not write in your assignment without proper citation will be treated as an academic misconduct case.

If you are unsure where the line is between collaborating with AI and copying from AI, we recommend the following heuristics:

  • Never hit “Copy” within your conversation with an AI assistant. You can copy your own work into your conversation, but do not copy anything from the conversation back into your assignment. Instead, use your interaction with the AI assistant as a learning experience, then let your assignment reflect your improved understanding.
  • Do not have your assignment and the AI agent itself open on your device at the same time. Similar to above, use your conversation with the AI as a learning experience, then close the interaction down, open your assignment, and let your assignment reflect your revised knowledge. This heuristic includes avoiding using AI assistants that are directly integrated into your composition environment: just as you should not let a classmate write content or code directly into your submission, so also you should avoid using tools that directly add content to your submission.

Deviating from these heuristics does not automatically qualify as academic misconduct; however, following these heuristics essentially guarantees your collaboration will not cross the line into misconduct.

Should I cite sources on [assignment]?

There are two answers to this. One: the expectation in this class is that you’ll cite sources on some assignments, not others. You’ll especially cite sources to justify your statements in the P assignments, and potentially to justify your selection of methodology in the M assignments. That said, Assignment P5 is the only assignment where we would say everyone should cite sources (for obvious reasons).

Two: to gauge whether you should cite a particular source, there are a number of times when you should always cite a source, both in-line and in your references section. I’ll use this paper as an example.

First, most obviously, if you’re writing about a paper, you would cite it:

One paper in this field looked at the interactions between motivation and student demographics among TA applicants (Joyner 2017).

If you are directly quoting or near-paraphrase another source, you should always cite in-line. If you are directly quoting, you would put quotation marks around the quoted material as well. For example:

Joyner writes that “scaling expert feedback while preserving affordability is possible.” (Joyner 2017)

When you are providing the source for an objective fact that is not common knowledge and that you did not discover yourself, you would cite in-line as well. For example, you would cite the following statement, as it is not common knowledge nor discovered by you:

58% of online TAs cite intrinsic motivations for wanting to be teaching assistants (Joyner 2017).

You do not need to cite common knowledge. For example, you would not do this:

The earth goes around the sun (Copernicus 1514).

Finally, if you are summarizing or using as foundation the higher-level ideas, methods, or structure of another source, you would cite that. This is a little fuzzier to describe, but you’ll probably know when you’ll use it. These are times when you want the reader to know there is precedent for your ideas, methods, or structure. For example:

One key challenge with scaling online education is keeping access to expert feedback in larger class sizes (Joyner 2017).

Regardless, for all of these examples, you would have the full citation at the bottom of the paper:

Joyner, D. A. (2017). Scaling Expert Feedback: Two Case Studies. In Proceedings of the Fourth Annual ACM Conference on Learning at Scale. Cambridge, Massachusetts. ACM Press.

For more, check out Yale University’s excellent Warning: When You Must Cite.