fixed cv

Author: dannycab

_bibliography/papers.bib

@@ -71,6 +71,23 @@ @unpublished{stroupe_icsam_2022
 %%% INVITED WRITING %%%
 %%%%%%%%%%%%%%%%%%%%%%%
 
+@article{Caballero2024,
+  author = {Caballero, Marcos D. and Odden, Tor Ole B.},
+  year = {2024},
+  title = {Computing in physics education},
+  journal = {Nature Physics},
+  pages = {339--341},
+  volume = {20},
+  number = {3},
+  abstract = {Computing is central to the enterprise of physics but few undergraduate physics courses include it in their curricula. Here we discuss why and how to integrate computing into physics education.},
+  issn = {1745-2481},
+  url = {https://doi.org/10.1038/s41567-023-02371-2},
+  html = {https://www.nature.com/articles/s41567-023-02371-2},
+  doi = {10.1038/s41567-023-02371-2},
+  abbr = {NATURE PHYS}
+}
+
+
 @incollection{odden_compchapter_2023,
   title = {{Physics Computational Literacy: What, Why, and How?}},
   author = {Odden, Tor Ole B. and Caballero, Marcos D.},
@@ -834,6 +851,48 @@ @article{cochran_temple1_2009
 %%% PAPERS IN PROCEEDINGS %%%
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
+%% 2024 %%
+
+@inproceedings{10.1145/3626253.3635341,
+author = {Bolger, Emily and Caballero, Marcos},
+title = {Using Natural Language Processing to Explore Instructional Change Strategies in Undergraduate Science Education Literature},
+year = {2024},
+isbn = {9798400704246},
+publisher = {Association for Computing Machinery},
+address = {New York, NY, USA},
+html = {https://doi.org/10.1145/3626253.3635341},
+doi = {10.1145/3626253.3635341},
+abstract = {Over ten years ago, our collaborators conducted a NSF-funded project identifying four broad categories of change strategies used to improve undergraduate STEM education through a comprehensive interdisciplinary literature review of articles from 1995 to 2008. Since this first iteration, there have been many major developments in undergraduate STEM education; particularly, the rapid development in sophisticated technology tools. These developments affect the nature of classroom instruction as well as expand the bounds on analyzing a corpus of articles. Thus, it is crucial to repeat this review to better understand the changes in STEM education from the more recent past. Our goal is to use machine learning to identify, potentially new, themes in the recent literature. We plan to compare and contrast both AI-assisted modeling and traditional, human-qualitative coding approaches in an effort to: (1) identify the benefits and faults of using AI verses human coding, and (2) portray a comprehensive story of change instruction literature from 2010. This lightning talk will describe the data extraction process and preliminary results from machine learning models. In addition to sharing the beginnings of our work, we hope to gain new perspectives and ideas from computing education scientists regarding our data representation and modeling choices.},
+booktitle = {Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2},
+pages = {1930},
+numpages = {1},
+keywords = {instruction change strategies, natural language processing, undergraduate science education},
+location = {Portland, OR, USA},
+series = {SIGCSE 2024},
+abbr = {SIGCSE}
+}
+
+
+@inproceedings{10.1145/3626253.3635334,
+author = {Frisbie, Rachel Lyn-Salmon and Silvia, Devin and Caballero, Marcos D. and Roca, Rachel and Bowerman, Amanda and Sachithanand, Krithi},
+title = {Exploring the Scurry of Squirrels in Central Park},
+year = {2024},
+isbn = {9798400704246},
+publisher = {Association for Computing Machinery},
+address = {New York, NY, USA},
+html = {https://doi.org/10.1145/3626253.3635334},
+doi = {10.1145/3626253.3635334},
+abstract = {As computing becomes increasingly intertwined with other disciplines, research that centers computing education in an interdisciplinary context (and the challenges surrounding it) is increasingly relevant. In particular, writing modular code (i.e. using functions) is a fundamental part of scientific programming. However, functions have been identified as challenging for students to learn. This assignment leverages a fun, real, and approachable dataset from the 2018 Central Park Squirrel Census as well as experiences authentic to developing scientific programs to introduce the concept of functions in Python. The assignment is intended to be delivered in a "flipped classroom" format, where students are first introduced to concepts in videos and short problems prior to coming to class. Once in class, the students work collaboratively in groups of 4-6 with a hands-on programming activity. By the end of the assignment, students have not only had the opportunity to learn about functions in an authentic context, but they have also been able to make calculations and propose their own problems to learn about the data.},
+booktitle = {Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2},
+pages = {1914},
+numpages = {1},
+keywords = {computing education, functions, interdisciplinary, python},
+location = {Portland, OR, USA},
+series = {SIGCSE 2024},
+abbr = {SIGCSE}
+}
+
+
 %% 2022 %%
 
 

_data/books.yml

@@ -0,0 +1,12 @@
+- id: 1
+  title: "The Great Gatsby"
+  author: "F. Scott Fitzgerald"
+  isbn: "978-0-7432-7356-5"
+  genre: "Novel"
+  published_year: 1925
+- id: 2
+  title: "1984"
+  author: "George Orwell"
+  isbn: "978-0-452-28423-4"
+  genre: "Dystopian"
+  published_year: 1949

_data/checkouts.yml

@@ -0,0 +1,9 @@
+- book_id: 1
+  user: "John Doe"
+  checkout_date: "2023-12-01"
+  due_date: "2023-12-15"
+- book_id: 2
+  user: "Jane Smith"
+  checkout_date: "2023-11-20"
+  due_date: "2023-12-04"
+# More checkouts...

_data/coauthors.yml

@@ -24,7 +24,7 @@
 
 "Hamerski":
   - firstname: ["Patti", "P.", "P.C.", "P. C.", "P.~C."]
-    url: https://www.pattihamerski.com/
+    url: https://physics.oregonstate.edu/directory/patti-hamerski
 
 "Silvia":
   - firstname: ["Devin", "D."]

_data/courses.yml

@@ -1,14 +1,32 @@
+- course: phy_321_s2025
+  semester: Spring 2025
+  name: PHY 321 (Classical Mechanics)
+  url: ../phy321msu
+  active: true
+
+- course: cmse_201_f2024
+  semester: Fall 2024
+  name: CMSE 201 (Introduction to Computational Modeling)
+  url: https://www.egr.msu.edu/classes/cmse201/
+  active: true
+
+- course: ml_su2024
+  semester: Summer 2024
+  name: Machine Learning Short Course
+  url: ../MSU_REU_ML_course
+  active: true
+  
 - course: phy_321_s2024
   semester: Spring 2024
   name: PHY 321 (Classical Mechanics)
-  url: 
-  active: true
+  url: ../phy321msu
+  active: false
 
 - course: phy_415_f2023
   semester: Fall 2023
   name: PHY 415 (Mathematical Modeling in Physics)
   url: ../phy415fall23
-  active: true
+  active: false
 
 - course: ml_su2023
   semester: Summer 2023