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Balaji Kalluri; Prajish Prasad; Prakrati Sharma; Divyaansh Chippa – IEEE Transactions on Education, 2024
Contribution: This article proposes a new theoretical model with a goal to develop future human computational thinking (CT) in foundational computer science (CS) education. The model blends six critical types of thinking, i.e., logical thinking, systems thinking, sustainable thinking, strategic thinking, creative thinking, and responsible thinking…
Descriptors: Computation, Thinking Skills, Computer Science Education, Critical Thinking
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Fang, Jian-Wen; Shao, Dan; Hwang, Gwo-Jen; Chang, Shao-Chen – Journal of Educational Computing Research, 2022
Scholars believe that computational thinking is one of the essential competencies of the 21st century and computer programming courses have been recognized as a potential means of fostering students' computational thinking. In tradition instruction, PFCT (problem identification, flow definition, coding, and testing) is a commonly adopted procedure…
Descriptors: Computation, Thinking Skills, Programming, Computer Science Education
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Tuomi, Pauliina; Multisilta, Jari Antero; Saarikoski, Petri; Suominen, Jaakko – Education and Information Technologies, 2018
Digitalization is one of the most promising ways to increase productivity in the public sector and is needed to reform the economy by creating new innovation related jobs. The implementation of digital services requires problem solving, design skills, logical thinking, an understanding of how computers and networks operate, and programming…
Descriptors: Foreign Countries, Coding, Programming, Computer Science Education
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Chung, Cheng-Yu; Awad, Nayif; Hsiao, I-Han – Australasian Journal of Educational Technology, 2021
Although numerous studies have demonstrated different ways that augmented reality (AR) can assist students to understand the learning content via contextualised visualisation, less explored is its effect on collaborative problem-solving (CPS) in computer programming. This study aims to investigate how AR affects a CPS in a programming task. We…
Descriptors: Problem Solving, Problem Based Learning, Cooperative Learning, Computer Simulation
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Nichols, T. Philip; Edgerton, Adam Kirk; Desimone, Laura M. – American Journal of Education, 2021
Purpose: As the federal government has retreated from taking a dominant role in encouraging implementation of common K-12 standards, states and districts have moved to fill this education policy vacuum. This study aims to understand how state and district leaders are navigating this new policy environment. Research Methods/Approach: Drawing upon…
Descriptors: State Standards, Academic Standards, Program Implementation, Educational Legislation
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Clauhs, Matthew – Music Educators Journal, 2021
Recognizing that music teachers may struggle to implement songwriting activities in a classroom, and that iconic notation provides an opportunity to increase access to school music for all students, the purpose of this article is to share one model of songwriting activities in a music technology class using chord diagrams, beat grids, and keyboard…
Descriptors: Music Education, Music Techniques, Music Activities, Musical Instruments
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Barnett, Ellen; Pérez, Karina Méndez; Delgado, Rocío – Science and Children, 2021
The United States is home to a culturally and linguistically diverse population of young children. In 2017, 10% of U.S. learners came from homes where languages other than English are spoken. Students who are learning English in addition to their native language(s) have the opportunity to become bilingual or multilingual in school. Thus, rather…
Descriptors: Student Diversity, English Language Learners, Bilingual Students, Multilingualism
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Jescovitch, Lauren N.; Scott, Emily E.; Cerchiara, Jack A.; Merrill, John; Urban-Lurain, Mark; Doherty, Jennifer H.; Haudek, Kevin C. – Journal of Science Education and Technology, 2021
We systematically compared two coding approaches to generate training datasets for machine learning (ML): (1) a holistic approach based on learning progression levels; and (2) a dichotomous, analytic approach of multiple concepts in student reasoning, deconstructed from holistic rubrics. We evaluated four constructed response assessment items for…
Descriptors: Science Instruction, Coding, Artificial Intelligence, Man Machine Systems
Blagg, Kristin; Blom, Erica; Kelchen, Robert; Chien, Carina – Urban Institute, 2021
Policymakers have expressed increased interest in program-level higher education accountability measures as a supplement to, or in place of, institution-level metrics. But it is unclear what these measures should look like. In this report, we assess the ways program-level data could be developed to facilitate federal accountability. Evidence shows…
Descriptors: Higher Education, Accountability, Program Evaluation, Evaluation Methods
Vanderwall, Rena – ProQuest LLC, 2021
The research-to-practice gap in education has been well documented over the decades (e.g., Abbott et al., 1999; Burns & Ysseldyke, 2009; Cook & Odom, 2013; van Ingen & Ariew, 2015). To best benefit PreK-12 student outcomes, educators must understand and implement scientifically based practices in their teaching (Elementary and…
Descriptors: Theory Practice Relationship, Preservice Teachers, Skill Development, Behavior
Nichols, T. Philip; Edgerton, Adam Kirk; Desimone, Laura M. – Grantee Submission, 2021
Purpose: As the federal government has retreated from taking a dominant role in encouraging implementation of common K-12 standards, states and districts have moved to fill this education policy vacuum. This study aims to understand how state and district leaders are navigating this new policy environment. Research Methods/Approach: Drawing upon…
Descriptors: State Standards, Academic Standards, Program Implementation, Educational Legislation
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Hilton, Lara G.; Azzam, Tarek – American Journal of Evaluation, 2019
Evaluations that include stakeholders aim to understand their perspectives and to ensure that their views are represented. This article offers a new approach to gaining stakeholder perspectives through crowdsourcing. We recruited a sample of individuals with chronic low back pain through a crowdsourcing site. This sample coded textual data…
Descriptors: Qualitative Research, Stakeholders, Data Collection, Chronic Illness
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Gummer, Tobias; Blumenberg, Manuela S.; Roßmann, Joss – International Journal of Social Research Methodology, 2019
From the perspective of study management, research is surprisingly lacking on two of the major challenges for planning and performing content analysis: determining the sample size (i.e. number of objects to code) and the required number of coders to hire. The optimization of both of these numbers will ultimately determine how efficiently available…
Descriptors: Content Analysis, Sample Size, Coding, Research Administration
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Cascio, M. Ariel; Lee, Eunlye; Vaudrin, Nicole; Freedman, Darcy A. – Field Methods, 2019
In this article, we discuss methodological opportunities related to using a team-based approach for iterative-inductive analysis of qualitative data involving detailed open coding of semistructured interviews and focus groups. Iterative-inductive methods generate rich thematic analyses useful in sociology, anthropology, public health, and many…
Descriptors: Coding, Teamwork, Interrater Reliability, Data Analysis
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Mills, Robert J.; Beaulieu, Tanya Y.; Feldon, David F.; Olsen, David H. – Decision Sciences Journal of Innovative Education, 2020
ABSTRACT For some time, there has been a call for cross-disciplinary teaching within the business disciplines. With the rise of data and analytics, there is an opportunity for cross-disciplinary teaching by integrating technology throughout the business curriculum. However, many business professors have little experience in cross-disciplinary…
Descriptors: Cognitive Processes, Difficulty Level, Instructional Effectiveness, Interdisciplinary Approach
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