Below you will find pages that utilize the taxonomy term “data science”

- kudos:

I have been feeling bad all semester for the students who signed up for my data science class because they enjoyed my games and learning one. I’m the same professor in both, but games and learning is very fun-focused and sociocultural, whereas data science is a firehose of stats and coding.

in praise of 'dad friends'

- kudos:

I have a “dad friend” I see most afternoons as we’re waiting for our kiddos to get out of school. He walks his kid home every day, and I either walk home or bike home with kiddo (a lot of walking recently because weather and a broken bike have been getting in our way). So, we hang out where all the walking parents hang out and chat for a few minutes before heading home.

🔗 linkblog: my thoughts on 'Pluralistic: The surprising truth about data-driven dictatorships (26 July 2023) – Pluralistic: Daily links from Cory Doctorow'

- kudos:

Interesting stuff from Doctorow. If I can, I want to work it into my data science textbook for next semester. link to ‘Pluralistic: The surprising truth about data-driven dictatorships (26 July 2023) – Pluralistic: Daily links from Cory Doctorow’

draft syllabus statement on code, plagiarism, and generative AI

- kudos:

I’m spending a chunk of today starting on revisions to my Intro to Data Science course for my unit’s LIS and ICT graduate prograrms. I’d expected to spend most of the time shuffling around the content and assessment for particular weeks, but I quickly realized that I was going to need to update what I had to say in the syllabus about plagiarism and academic offenses. Last year’s offering of the course involved a case of potential plagiarism, so I wanted to include more explicit instruction that encourages students to borrow code while making it clear that there are right and wrong ways of doing so.

new publication: an autoethnography on French, data science, and paradigm change

- kudos:

I’m pleased to share the publication of a new chapter of an edited volume. The chapter in question is “I’m a French teacher, not a data scientist”: Culture and languages across my professions, and it’s part of a volume called Cultures and languages across the curriculum in higher education. According to the CLAC Consortium, Culture and Languages Across the Curriculum (CLAC) is a: a curricular framework that provides opportunities to develop and apply language and intercultural competence within all academic disciplines through the use of multilingual resources and the inclusion of multiple cultural perspectives.

- kudos:

Generally, I discourage my intro to data science students from tackling questions they can’t answer at their level of programming, but sometimes I get so interested in the question that I end up writing the code for them so I can see what they do with it.

ClassDojo and 'data as oil'

- kudos:

The new semester at the University of Kentucky starts on Monday, and I am flailing to try to get my data science course ready to go—including putting together an open, alternative textbook for my students. I’ve been borrowing heavily from Catherine D’Ignazio and Lauren Klein’s Data Feminism for my textbook: It’s a fantastic resource, and I’m hoping my students take a lot from it. Of course, my kid’s semester has already started, and I’ve already blogged a bunch about my frustrations with her new school’s use of ClassDojo this year.

- kudos:

Really leaning into ethics and justice elements of data science in my fall class, and I’m wondering how much pushback I’m going to get. I’ve taught about racism, sexism, and colonization in games in another class with very few complaints, but this feels different somehow.

why 'open access' isn't enough

- kudos:

I just barely microblogged something about what I want to say here, but over the past hour, it’s been nagging at me more and more, and I want to write some more about it. I was introduced to academia through educational technology, and I was introduced to educational technology through a class at BYU taught by David Wiley. This class was not about educational technology, but David’s passion for Web 2.

- kudos:

This summer, I’m remixing an alternative textbook for my Fall intro to data science class, and I’m pleasantly surprised by how helpful Creative Commons-licensed journal articles are proving. Shows that “open access” is only part of license’s benefits.

🔗 linkblog: just finished 'Predictive analytics in child welfare raise concerns - Youth Today'

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We need data to make decisions, but predictive analytics tend to give me the heebie jeebies. link to ‘Predictive analytics in child welfare raise concerns - Youth Today’

- kudos:

One of my data science students just did a t-test to demonstrate that evil-aligned monsters in D&D 5e tend to have lower Armor Class than good-aligned monsters. This course demands a lot of effort, but moments like this make it worth it.

- kudos:

Teaching R for the first time, and many students are first-time programmers. I’m reminded of teaching French in terms of how easy it is to take for granted things that aren’t obvious to beginners.

- kudos:

Unsatisfied with the Intro to Data Science textbook I’ve inherited. Fortunately, an earlier version is Creative Commons-licensed, as are some other fantastic resources. Guess who’s going to remix himself a new textbook for next Fall!

- kudos:

I know I’m going to make plenty of mistakes teaching Intro to Data Science for the first time, but one thing I’m already proud of is teaching my students to use tags to format code and output in their Canvas posts.

🔗 linkblog: just read 'Pluralistic: 19 Aug 2021 – Pluralistic: Daily links from Cory Doctorow'

- kudos:

Cory Doctorow has THOUGHTS about data. I may use this in my data science class this semester. [link to ‘Pluralistic: 19 Aug 2021 – Pluralistic: Daily links from Cory Doctorow](https://pluralistic.net/2021/08/19/failure-cascades/