583 episodi
PsychSessions: Conversations about Teaching N' Stuff Garth Neufeld, Eric Landrum
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- Istruzione
The PsychSessions podcast is co-hosted by Garth Neufeld from Cascadia College and Eric Landrum from Boise State University. We leverage our connections with psychology teachers from all levels (high school, community college, college, university) and individuals from other occupations to have meaningful conversations about what it means to be an educator. Of course, we veer away from the teaching conversation from time to time to hear about origin stories and the personal perspectives of our guests, touching on current events and topics of interest.
Our ASKPsychSessions feature is hosted by Marianne Lloyd from Seton Hall University. For ASKPsychSessions, listeners can submit questions about teaching and learning, and Marianne interviews experts and posts short features with the question and answer together. These features are often thematically grouped, such as information about using learning science to improve psychology instruction or various aspects of improving equity, diversity, and inclusion in your course.
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E199: A Tribute to Jerry Rudmann: Gone Too Soon
Here at PsychSessions we are saddened to hear of Jerry Rudmann's recent death -- we mourn this tremendous loss, and our hearts go out to his family and his extensive network of friends. In his honor, we are rebroadcasting his initial PsychSessions interview, which was released as Episode 155 on October 11, 2022.
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NotAwfulData: S01_E04: Confirmation of the British stiff upper lip: US and Aussie students smile more in photos they post to Instagram
Explicit lessons: You can use AI to evaluate Instagram photos and determine the smiliest universities. Run an ANOVA to determine who has the happiest universities: US, UK, or Austraila. Discuss cultural differences in what we share online. Implicit knowlege: Anything you share on IG is free game for the data scrapers!
Blog Post: https://notawfulandboring.blogspot.com/2023/03/can-we-use-instagram-to-estimate.html
Original Data: https://resume.io/blog/the-happiest-schools-in-the-us-uk-and-australia
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NotAwfulData: S01_E03: Discerning sippers or just like their liquor? Using BeerAdvocate.com data, explore the linear relationship between beer rating and beer alchohol by volume
Maybe beer snobs just like to get buzzed? An argument can be made from this data, which lets you think about data scrapping and big, big data sets.
Blog Post: https://notawfulandboring.blogspot.com/2015/05/scott-janishs-relationship-of-abv-to.html
Data Source: https://scottjanish.com/relationship-of-abv-to-beer-scores/ -
E198: The amazing and disappearing history of psychology: A conversation with Barney Beins, Sue Frantz, Ken Keith, and Garth Neufeld
In this episode Garth hosts a conversation with Barney Beins (Ithaca College), Sue Frantz (Highline College), and Ken Keith (University of San Diego). These renowned teachers of psychology delve into the importance of incorporating the history of psychology into education, emphasizing the need to preserve diverse narratives and engage students through innovative teaching methods. They also explore untold stories, such as the contributions of marginalized groups and pioneering individuals, showcasing the wide-reaching impact of psychological research and the necessity to broaden traditional narratives.
[The episode's show notes were partly generated by Descript AI.] -
NotAwfulData: S01_E02: Using data to understand music: How the Exportify website can create rich data about your favorite songs
Students love customizable data sets suited to their tastes. Use the Exportify website to generate spreadsheets based on Spotify playlists. These playlists are perfect for ANOVA, correlation, and discussions of operationalization.
Blog post: https://notawfulandboring.blogspot.com/2023/11/generate-highly-personalized-music-data.html,
Exportify website: https://exportify.net/#playlists
Information on Spotify variables: https://rpubs.com/umayarz/BBUS490_Spotify -
NotAwfulData: S01_E01: Horrific, but not awful: Horror movie data that will engage you intro stats students
This data is scary. Not because of missing data points and median splits but because it is about horror movies and how they affect participant pulses! Use this data set to discuss operationalization, scales of measurement, correlation, t-tests, and more.
Links: Blog Post: https://notawfulandboring.blogspot.com/2024/04/using-pulse-rates-to-determine-scariest.html
Original Data: https://www.moneysupermarket.com/broadband/features/science-of-scare/