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Vincent F. Scalfani; Kevin W. Walker; Lance Simpson; Avery M. Fernandez; Vishank D. Patel; Anastasia Ramig; Cyrus Gomes; Michael T. Moen; Adam M. Nguyen – Issues in Science and Technology Librarianship, 2023
Scholarly web-based application programming interfaces (APIs) allow users to interact with information and data programmatically. Interacting with information programmatically allows users to create advanced information query workflows and quickly access machine-readable data for downstream computations. With the growing availability of scholarly…
Descriptors: Access to Information, Bibliographic Databases, Library Services, Electronic Libraries
Linxuan Zhao; Dragan Gaševic; Zachari Swiecki; Yuheng Li; Jionghao Lin; Lele Sha; Lixiang Yan; Riordan Alfredo; Xinyu Li; Roberto Martinez-Maldonado – British Journal of Educational Technology, 2024
Effective collaboration and teamwork skills are critical in high-risk sectors, as deficiencies in these areas can result in injuries and risk of death. To foster the growth of these vital skills, immersive learning spaces have been created to simulate real-world scenarios, enabling students to safely improve their teamwork abilities. In such…
Descriptors: Automation, Transcripts (Written Records), Coding, Teamwork
Abdullah Alamer; Florian Schuberth; Jörg Henseler – Studies in Second Language Acquisition, 2024
Researchers in second language (L2) and education domain use different statistical methods to assess their constructs of interest. Many L2 constructs emerge from elements/parts, i.e., the elements "define" and "form" the construct and not the other way around. These constructs are referred to as emergent variables (also called…
Descriptors: Factor Analysis, Factor Structure, Second Language Learning, Language Research
Anthony Underwood; Aidan Sichel; Emily C. Marshall – Journal of Statistics and Data Science Education, 2024
Economics has become increasingly empirical and, alongside this shift, has come more demand for improved transparency and reproducibility in empirical economic research. In this article, we distribute a survey to almost 1500 economics faculty from the top 161 liberal arts colleges with an economics major (according to U.S. News & World Report)…
Descriptors: Teaching Methods, Economics Education, Undergraduate Students, Liberal Arts
Yung Chun; Xueying Mei; Wenrui Huang; Greg Zubler; Jason Jabbari – Annenberg Institute for School Reform at Brown University, 2024
We examine three coding bootcamps offered by LaunchCode (LC101, Women+, and CodeCamp) to understand if tailored structures within coding bootcamp programs--designed for underrepresented groups in Science, Technology, Engineering, and Math (STEM)--lead to increased program persistence for women, underrepresented minorities, and low-income…
Descriptors: STEM Education, STEM Careers, Employment Level, Females
Ling Wang; Shen Zhan – Education Research and Perspectives, 2024
Generative Artificial Intelligence (GenAI) is transforming education, with assessment design emerging as a crucial area of innovation, particularly in computer science (CS) education. Effective assessment is critical for evaluating student competencies and guiding learning processes, yet traditional practices face significant challenges in CS…
Descriptors: Artificial Intelligence, Computer Science Education, Technology Uses in Education, Student Evaluation
Isabella Starling-Alves; Mariuche Gomides; Denise O. Ribeiro; Vitor G. Haase; Edward M. Hubbard – Journal of Numerical Cognition, 2024
Learning fractions is essential for academic and daily life success. A critical first step in acquiring fractions is learning to transcode them (e.g., writing ½ when hearing "one half"). However, little is known about how students master fraction transcoding. We addressed this gap by assessing fraction writing in two groups of Brazilian…
Descriptors: Foreign Countries, Fractions, Adult Education, Elementary School Mathematics
David DiSabito; Lisa Hansen; Thomas Mennella; Josephine Rodriguez – New Directions for Teaching and Learning, 2025
This chapter investigates the integration of generative AI (GenAI), specifically ChatGPT, into institutional and course-level assessment at Western New England University. It explores the potential of GenAI to streamline the assessment process, making it more efficient, equitable, and objective. Through the development of a proprietary GenAI tool,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Educational Assessment
David DeLiema; Ashley Hufnagle; Miguel Ovies-Bocanegra – British Journal of Educational Psychology, 2025
Background: Moments of failure during learning present a wide range of opportunities for growth. However, experimental research and meta reviews focused on failure and learning tend to target singular valued learning processes, such as efficient fixes or transfer of conceptual understanding. These analytical decisions conflict with research…
Descriptors: Middle School Students, Nonprofit Organizations, Summer Programs, Workshops
Andreas Giannakoulas; Stelios Xinogalos – Journal of Educational Computing Research, 2025
This study critically reviews sixteen empirical studies that investigate the various difficulties that primary school students encounter while learning programming through educational games. Specifically, the challenges that students face in understanding basic programming concepts and the game elements that contribute to these difficulties, as…
Descriptors: Elementary School Students, Elementary School Teachers, Programming, Game Based Learning
Emine Turhal; Oktay Bektas – International Journal of Education in Mathematics, Science and Technology, 2025
This research will analyze the issues encountered by two science teachers implementing Arduino-based robotic coding projects. This research employed a case study design. This research has used a criterion sampling group. This study used semi-structured observation, interviews, and video observations as data collection tools. The teachers conducted…
Descriptors: Science Teachers, Teacher Attitudes, Science Instruction, Robotics
Meryem Meral; Sema Altun Yalçin; Zehra Çakir; Esila Samur – International Technology and Education Journal, 2025
The purpose of this study is to investigate the impact of robotic coding activities on elementary school students' metacognitive skills and attitudes towards robotic coding. A mixed-method approach was employed in the research, utilizing a single group pre-and post-test design. The study sample consisted of 20 students enrolled in the fourth grade…
Descriptors: Metacognition, Coding, Elementary School Students, Robotics
Dalkin, Sonia; Forster, Natalie; Hodgson, Philip; Lhussier, Monique; Carr, Susan M. – International Journal of Social Research Methodology, 2021
There have been several calls for more transparency in realist methods, particularly in the complex process of programme theory development and refinement. This paper will describe the way in which Computer Assisted Qualitative Data Analysis Software, specifically, NUD*IST Vivo (NVivo), was used to build and refine programme theories (using…
Descriptors: Qualitative Research, Data Analysis, Computer Software, Realism
Saxena, Deepak – International Journal of Adult Education and Technology, 2021
The case study is a widely used methodology among qualitative researchers irrespective of their philosophical orientation. While positivist and interpretive philosophies are the two most popular research philosophies across diverse research fields, critical realism offers a third alternative. Critical realism is a research philosophy that assumes…
Descriptors: Realism, Critical Theory, Case Studies, Guidelines
Bierema, Andrea; Hoskinson, Anne-Marie; Moscarella, Rosa; Lyford, Alex; Haudek, Kevin; Merrill, John; Urban-Lurain, Mark – International Journal of Research & Method in Education, 2021
As we take advantage of new technologies that allow us to streamline the coding process of large qualitative datasets, we must consider whether human cognitive bias may introduce statistical bias in the process. Our research group analyzes large sets of student responses by developing computer models that are trained using human-coded responses…
Descriptors: Cognitive Processes, Bias, Educational Researchers, Educational Research

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