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Yifeng Hu – Communication Teacher, 2025
This assignment is integrated into the generative AI unit of the Emerging Communication Technologies course. It includes step-by-step designs and reflective examples from students, highlighting the evolution of their perceptions of generative AI. The assignment uniquely focuses on understanding and raising awareness of stereotypes present in…
Descriptors: Artificial Intelligence, Stereotypes, Communications, Student Attitudes
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Austin M. Shin; Ayaan M. Kazerouni – ACM Transactions on Computing Education, 2024
Background and Context: Students' programming projects are often assessed on the basis of their tests as well as their implementations, most commonly using test adequacy criteria like branch coverage, or, in some cases, mutation analysis. As a result, students are implicitly encouraged to use these tools during their development process (i.e., so…
Descriptors: Feedback (Response), Programming, Student Projects, Computer Software
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Qiyang Zhang; Amanda Neitzel – Journal of Research on Educational Effectiveness, 2024
In recent years, the rapid development of artificial intelligence has enabled the launch of many new screening tools. This review aims to facilitate screening tool selection through a systematic narrative review and feature analysis. The current adoption rate of transparent tool reporting is low: by screening 191 studies published in the…
Descriptors: Selection Tools, Educational Resources, Artificial Intelligence, Selection Criteria
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Xiangquan Yao – Digital Experiences in Mathematics Education, 2024
This study aimed to examine the quality of the open-access GeoGebra applets for function transformations by attending to the opportunity to learn function transformations afforded by them. Guided by the variation theory, this study conceptualized the opportunity to learn function transformations as the opportunity to discern critical features of…
Descriptors: Mathematics Education, Mathematical Concepts, Mathematics, Graphs
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Yiting Wang; Tong Li; Jiahui You; Xinran Zhang; Congkai Geng; Yu Liu – ACM Transactions on Computing Education, 2025
Understanding software modelers' difficulties and evaluating their performance is crucial to Model-Driven Engineering (MDE) education. The software modeling process contains fine-grained information about the modelers' analysis and thought processes. However, existing research primarily focuses on identifying obvious issues in the software…
Descriptors: Computer Software, Engineering Education, Models, Identification
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Bushra Hamid; Naveed Ikram – Education and Information Technologies, 2024
Regarding the caliber of newly-graduated professionals, the software industry expresses discontent. Therefore, software industries spend on training these individuals to improve software development process-related skills. According to various research studies, one reason for the lack of skilled graduates is a gap between industry and academia.…
Descriptors: Computer Software, Theory Practice Relationship, Novices, Information Technology
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Samer Hanna – International Journal of Learning Technology, 2024
It is important that software testing courses at universities provide students with testing skills that are close to the skills needed by industry. To investigate if these courses do accomplish this role, this research provides comparison and empirical analysis of the topics provided by 80 software testing courses in nine countries around the…
Descriptors: Computer Software, Job Skills, Occupational Information, Education Work Relationship
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Moshe Stupel; Jay M. Jahangiri – International Journal of Mathematical Education in Science and Technology, 2025
In this article, we state an interesting geometric conservation property between the three angle bisectors of three similar right triangles and provide a proof without words for its justification. A GeoGebra applet is also presented to help with the understanding of the progression of the proof from inductive to deductive stage.
Descriptors: Geometry, Mathematics Instruction, Computer Software, Teaching Methods
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Rustam Shadiev; Xuan Chen; Fahriye Altinay – Journal of Computer Assisted Learning, 2024
Background: Our study analysed 46 articles on computer-aided translation (CAT) and its educational uses. We explored two main areas: CAT technologies in learning and teaching, and the research methodologies of these studies. Objectives: Our review covered the types of CAT technologies used, their applications in different learning settings,…
Descriptors: Translation, College Students, Computer Assisted Instruction, Computer Software Evaluation
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Nathalie Sinclair – Digital Experiences in Mathematics Education, 2024
A premise of this article is that the current methods used in mathematics education research may be preventing researchers from adequately addressing the body and, in particular, the alignment of acting and knowing. Pursuing a non-dualistic and non-hierarchical approach to learning and knowing, I experiment with new methods that aim to increase…
Descriptors: Electronic Learning, Motion, Mathematics Education, Computer Software
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Xu Qin – Asia Pacific Education Review, 2024
Causal mediation analysis has gained increasing attention in recent years. This article guides empirical researchers through the concepts and challenges of causal mediation analysis. I first clarify the difference between traditional and causal mediation analysis and highlight the importance of adjusting for the treatment-by-mediator interaction…
Descriptors: Causal Models, Mediation Theory, Statistical Analysis, Computer Software
II. Douglas R. Allen – ProQuest LLC, 2023
The problem addressed in this study was whether real or perceived barriers exist among higher education finance professionals, which may influence their perceptions of risk and trustworthiness to adopt FinTech. The purpose of this study was to address whether or not perceptions of the risks and trustworthiness of software applications used in…
Descriptors: Risk, Trust (Psychology), Credibility, Computer Software
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Barbosa, Rafael; Souza, Ricardo – Informatics in Education, 2021
Software is usually considered enabler for innovation in education. Thus, it is necessary to investigate: What leads to innovation in education and which, therefore, should be considered in the development of educational software? How to support decision-making for choosing software to be used in teaching and learning? How to evaluate software…
Descriptors: Educational Innovation, Computer Uses in Education, Computer Software, 21st Century Skills
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Ting Zhang; Paul Bailey; Yuqi Liao; Emmanuel Sikali – Large-scale Assessments in Education, 2024
The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…
Descriptors: National Competency Tests, Information Retrieval, Data Collection, Test Validity
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Tenko Raykov; George Marcoulides; Randall Schumacker – Measurement: Interdisciplinary Research and Perspectives, 2024
An application of Bayesian factor analysis for evaluation of scale reliability is discussed, which is developed within the framework of latent variable modeling. The method permits direct point and interval estimation of the reliability coefficient of multiple-component measuring instruments using Bayesian inference. The approach allows also point…
Descriptors: Reliability, Bayesian Statistics, Measurement Techniques, Computer Software
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