Browsing by Author "Caballero, Marcos Daniel"

Now showing items 1-13 of 13

  • Analysis of the most common concept inventories in physics: What are we assessing? 
    Laverty, James T; Caballero, Marcos Daniel (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
    Assessing student learning is a cornerstone of educational practice. Standardized assessments have played a significant role in the development of instruction, curricula, and educational spaces in college physics. However, ...
  • Characterizing college science instruction: The Three-Dimensional Learning Observation Protocol 
    Bain, Kinsey; Bender, Lydia; Bergeron, Paul; Caballero, Marcos Daniel; Carmel, Justin H.; Duffy, Erin M.; Ebert-May, Diane; Fata-Hartley, Cori L.; Herrington, Deborah G.; Laverty, James T.; Matz, Rebecca L.; Nelson, Paul C.; Posey, Lynmarie A.; Stoltzfus, Jon R.; Stowe, Ryan L.; Sweeder, Ryan D.; Tessmer, Stuart H.; Underwood, Sonia M.; Urban-Lurain, Mark; Cooper, Melanie M. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    The importance of improving STEM education is of perennial interest, and to this end, the education community needs ways to characterize transformation efforts. Three-dimensional learning (3DL) is one such approach to ...
  • Computational Essays: An Avenue for Scientific Creativity in Physics 
    Odden, Tor Ole; Caballero, Marcos Daniel (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Computation holds great potential for introducing new opportunities for creativity and exploration into the physics curriculum. At the University of Oslo we have begun development of a new class of assignment called ...
  • Development of the Modes of Collaboration framework 
    Pawlak, Alanna; Irving, Paul W; Caballero, Marcos Daniel (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
    Group work is becoming increasingly common in introductory physics classrooms. Understanding how students engage in these group learning environments is important for designing and facilitating productive learning opportunities ...
  • Framework for evaluating statistical models in physics education research 
    Aiken, John Mark; De Bin, Riccardo; Lewandowski, Heather; Caballero, Marcos Daniel (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    Across the field of education research there has been an increased focus on the development, critique, and evaluation of statistical methods and data usage due to recently created, very large datasets and machine learning ...
  • How computation can facilitate sensemaking about physics: A case study 
    Sand, Odd Petter; Odden, Tor Ole; Lindstrøm, Christine; Caballero, Marcos Daniel (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
    We present a case study featuring a first-year bio-science university student using computation to solve a radioactive decay problem and interpret the results. In a semi-structured cognitive interview, we use this case to ...
  • Identifying features predictive of faculty integrating computation into physics courses 
    Young, Nicholas; Allen, Grant; Aiken, John Mark; Henderson, Rachel; Caballero, Marcos Daniel (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Computation is a central aspect of 21st century physics practice; it is used to model complicated systems, to simulate impossible experiments, and to analyze mountains of data. Physics departments and their faculty are ...
  • Learning assistant approaches to teaching computational physics problems in a problem-based learning course 
    Pawlak, Alanna; Irving, Paul W.; Caballero, Marcos Daniel (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    An increasing number of introductory physics courses are seeking to incorporate “authentic practices,” and a large area of focus in this trend is the incorporation of computational problems into the curriculum. These ...
  • Modeling student pathways in a physics bachelor's degree program 
    Aiken, John Mark; Henderson, Rachel; Caballero, Marcos Daniel (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Physics education research (PER) has used quantitative modeling techniques to explore learning, affect, and other aspects of physics education. However, these studies have rarely examined the predictive output of the models, ...
  • Physics computational literacy: An exploratory case study using computational essays 
    Odden, Tor Ole; Lockwood, Elise; Caballero, Marcos Daniel (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Computation is becoming an increasingly important part of physics education. However, there are currently few theories of learning that can be used to help explain and predict the unique challenges and affordances associated ...
  • Predicting time to graduation at a large enrollment American university 
    Aiken, John Mark; De Bin, Riccardo; Hjorth-Jensen, Morten; Caballero, Marcos Daniel (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    The time it takes a student to graduate with a university degree is mitigated by a variety of factors such as their background, the academic performance at university, and their integration into the social communities of ...
  • Prevalence and nature of computational instruction in undergraduate physics programs across the United States 
    Caballero, Marcos Daniel; Merner, Laura (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
    A national survey of physics faculty was conducted to investigate the prevalence and nature of computational instruction in physics courses across the United States. 1246 faculty from 357 unique institutions responded to ...
  • Thematic analysis of 18 years of physics education research conference proceedings using natural language processing 
    Odden, Tor Ole; Marin, Alessandro; Caballero, Marcos Daniel (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    We have used an unsupervised machine learning method called latent Dirichlet allocation (LDA) to thematically analyze all papers published in the Physics Education Research Conference Proceedings between 2001 and 2018. By ...