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Slavit, David; Lesseig, Kristin; Simpson, Amber – Journal of Pedagogical Research, 2022
The goal of this paper is to share an analytic framework for understanding Students? Ways of Thinking (SWoT) in STEM-rich learning environments. Before revealing our refined coding framework, we detail the nature of our collaborations and the various analytic decisions that led to its formation. These collaborations supported our collective…
Descriptors: Thinking Skills, STEM Education, Cognitive Processes, Models
Kubsch, Marcus; Hamerski, Patti C. – Physics Teacher, 2022
Energy is a disciplinary core idea and a cross-cutting concept in the K-12 Framework for Science Education and the Next Generation Science Standards (NGSS). As numerous authors point out, the energy model in these standards emphasizes the connections between energy and systems. Using energy ideas to interpret or make sense of phenomena means…
Descriptors: Energy, Science Instruction, Scientific Concepts, Models
Price, Heather E.; Smith, Christian – Field Methods, 2021
To identify the dominant cultural models among parents transmitting faith to their children, we find few methodological guidelines to guide coding and analysis of semi-structured interviews. We thus developed a three-phase procedure for our research team. Phase-one follows Campbell et al. by unitizing on meanings rather than words/pages, including…
Descriptors: Semi Structured Interviews, Parents, Religion, Reliability
Vasconcelos, Lucas; Kim, ChanMin – Educational Technology Research and Development, 2020
Learning standards for K-12 science education emphasize the importance of engaging students in practices that scientists perform in their profession. K-12 teachers are expected to engage students in scientific modeling, which entails constructing, testing, evaluating, and revising their own models of science phenomena while pursuing an epistemic…
Descriptors: Coding, Science Education, Science Instruction, Models
Andrea Domínguez-Lara; Wulfrano Arturo Luna-Ramírez – International Association for Development of the Information Society, 2022
The automatic code generation is the process of generating source code snippets from a program, i.e., code for generating code. Its importance lies in facilitating software development, particularly important is helping in the implementation of software designs such as engineering diagrams, in such a case, automatic code generation copes with the…
Descriptors: Programming, Coding, Computer Software, Programming Languages
Hutchison, Amy; Evmenova, Anya S. – Intervention in School and Clinic, 2022
States increasingly are adopting computer science standards to help students develop coding and computational thinking skills. In an effort to support teachers in introducing computer science content to their students with high-incidence disabilities, a new model, computer science integration planning plus universal design for learning (CSIP+),…
Descriptors: Computer Science Education, Students with Disabilities, Access to Education, Computation
Zhao, Xin; Coxe, Stefany; Sibley, Margaret H.; Zulauf-McCurdy, Courtney; Pettit, Jeremy W. – Prevention Science, 2023
There has been increasing interest in applying integrative data analysis (IDA) to analyze data across multiple studies to increase sample size and statistical power. Measures of a construct are frequently not consistent across studies. This article provides a tutorial on the complex decisions that occur when conducting harmonization of measures…
Descriptors: Data Analysis, Sample Size, Decision Making, Test Items
Apple, Lillian; Baunach, John; Connelly, Glenda; Gahlhoff, Sonia; Romanowicz, Colleen Megowan; Vieyra, Rebecca Elizabeth; Walker, Lucas – Physics Teacher, 2021
Multiple initiatives contend that all students should master computational thinking, including the "Next Generation Science Standards, the K-12 Framework for Computational Thinking," and Code.org. In turn, many physics teachers have begun to explore a variety of approaches to integrating computational modeling through programming. These…
Descriptors: Science Instruction, High Schools, Secondary School Science, Physics
Baker-Doyle, Kira J. – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2018
This article is a commentary essay that uses the connected learning framework (Ito et al., 2013) as a lens to explore the relationship between making, coding, and critical literacy in the context of literacy teacher education. Critical literacy theorists have argued that it is important to understand the perspective and positionality of an author…
Descriptors: Coding, Programming, Computer Science Education, Reflection
Ames, Allison; Myers, Aaron – Educational Measurement: Issues and Practice, 2019
Drawing valid inferences from modern measurement models is contingent upon a good fit of the data to the model. Violations of model-data fit have numerous consequences, limiting the usefulness and applicability of the model. As Bayesian estimation is becoming more common, understanding the Bayesian approaches for evaluating model-data fit models…
Descriptors: Bayesian Statistics, Psychometrics, Models, Predictive Measurement
Zendler, Andreas; Seitz, Cornelia; Klaudt, Dieter – Journal of Educational Computing Research, 2016
A process model ("cpm.4.CSE") is introduced that allows the development of competence models in computer science education related to curricular requirements. It includes eight subprocesses: (a) determine competence concept, (b) determine competence areas, (c) identify computer science concepts, (d) assign competence dimensions to…
Descriptors: Competency Based Education, Models, Computer Science Education, Curriculum Development
Shaffer, David Williamson; Collier, Wesley; Ruis, A. R. – Journal of Learning Analytics, 2016
This paper provides a tutorial on epistemic network analysis (ENA), a novel method for identifying and quantifying connections among elements in coded data and representing them in dynamic network models. Such models illustrate the structure of connections and measure the strength of association among elements in a network, and they quantify…
Descriptors: Epistemology, Network Analysis, Data Analysis, Coding
Matsumoto, Paul S.; Cao, Jiankang – Journal of Chemical Education, 2017
Computational thinking is a component of the Science and Engineering Practices in the Next Generation Science Standards, which were adopted by some states. We describe the activities in a high school chemistry course that may develop students' computational thinking skills by primarily using Excel, a widely available spreadsheet software. These…
Descriptors: Secondary School Science, High School Students, Computation, Thinking Skills
Philpott, Carey; Oates, Catriona – European Journal of Educational Research, 2015
This paper reports on research into the practice of learning rounds in Scotland. Learning rounds are a form of collaborative professional development for teachers based on the instructional rounds practice developed in the USA. In recent years learning rounds have gained high profile official support within education in Scotland. The research…
Descriptors: Foreign Countries, Teaching Methods, Professional Development, Cooperation
Dalziel, James; Conole, Grainne; Wills, Sandra; Walker, Simon; Bennett, Sue; Dobozy, Eva; Cameron, Leanne; Badilescu-Buga, Emil; Bower, Matt – Journal of Interactive Media in Education, 2016
The Larnaca Declaration on Learning Design arose from a 2012 meeting of experts in Larnaca, Cyprus who sought to provide a new theoretical foundation for the field of Learning Design, based on a synthesis of research and practice in the field to date. It begins by acknowledging the vast benefits that would arise from wider sharing of effective…
Descriptors: Foreign Countries, Instructional Design, Instructional Effectiveness, Educational Practices