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Marie Utterberg Modén; Marisa Ponti; Johan Lundin; Martin Tallvid – Scandinavian Journal of Educational Research, 2025
The paper emphasises the need to consider the social, political, and economic contexts within which educational systems operate and use Artificial Intelligence (AI). Focused on Swedish compulsory education, this study explores whether the use of AI envisioned by national authorities and educational technology companies contributes to unfairness.…
Descriptors: Ethics, Equal Education, Compulsory Education, Artificial Intelligence
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Yang, Chengning; Yuan, Jiahao – Asia Pacific Journal of Education, 2023
At present, COVID-19 is attracting people's attention worldwide. The rapid spread of the epidemic has had a very large impact on the education sector. Many countries have organized students to engage in online learning and study at home. As a country was seriously affected in the early stage of the epidemic, after a period of hard work, China has…
Descriptors: Educational Policy, Educational Change, COVID-19, Pandemics
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Ezeamuzie, Ndudi O.; Leung, Jessica S. C.; Ting, Fridolin S. T. – Journal of Educational Computing Research, 2022
Although abstraction is widely understood to be one of the primary components of computational thinking, the roots of abstraction may be traced back to different fields. Hence, the meaning of abstraction in the context of computational thinking is often confounded, as researchers interpret abstraction through diverse lenses. To disentangle these…
Descriptors: Computer Science Education, Thinking Skills, Research Reports, Abstract Reasoning
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Moss, Grant D.; Gambrell, James A. – Foreign Language Annals, 2023
The overarching objective of the World Language Professional Life Survey (WLPLS) was to determine the K-20 World Language (WL) profession's familiarity with both the "World Readiness Standards for Learning Languages" (5 Cs) and with the Can-Do Statements (Can-Dos). The survey strove to identify how both sets of principles might…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Computer Software
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Romadiah, Hikmah; Dayurni, Popi; Fajari, Laksmi Evasufi Widi – Online Submission, 2022
This research is motivated by the increasing number of users of android-based learning media it impacts the learning outcomes obtained. This study aims to determine the effect of android-based learning media on improving student learning outcomes. This research is a meta-analysis study. Data collection techniques are taken from indexing databases…
Descriptors: Meta Analysis, Handheld Devices, Telecommunications, Computer Assisted Instruction
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Kole A. Norberg; Husni Almoubayyed; Logan De Ley; April Murphy; Kyle Weldon; Steve Ritter – Grantee Submission, 2024
Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Educational Change
Brown, Brandon R. – ProQuest LLC, 2016
Kindergartens through twelfth grade institutions (K-12) are susceptible to unauthorized breaches to the security of their networked systems. These systems house sensitive information for students and staff alike. K-12 organizations face a significant risk for loss of this information that can damage reputation and pose liability. Perpetrators have…
Descriptors: Kindergarten, Elementary Secondary Education, Information Security, Information Networks
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Crick, Ruth Deakin; Barr, Steven; Green, Howard; Pedder, David – Educational Management Administration & Leadership, 2017
A continuing challenge for the education system is how to evaluate the wider outcomes of schools. Wider measures of success--such as citizenship or lifelong learning--influence each other and emerge over time from complex interactions between students, teachers and leaders, and the wider community. Unless methods are found to evaluate these…
Descriptors: Outcomes of Education, School Effectiveness, Academic Achievement, Computer Software
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Brandon, Paul R.; Harrison, George M.; Lawton, Brian E. – American Journal of Evaluation, 2013
When evaluators plan site-randomized experiments, they must conduct the appropriate statistical power analyses. These analyses are most likely to be valid when they are based on data from the jurisdictions in which the studies are to be conducted. In this method note, we provide software code, in the form of a SAS macro, for producing statistical…
Descriptors: Statistical Analysis, Correlation, Effect Size, Benchmarking
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Zhang, Jinming – Psychometrika, 2007
This paper extends the theory of conditional covariances to polytomous items. It has been proven that under some mild conditions, commonly assumed in the analysis of response data, the conditional covariance of two items, dichotomously or polytomously scored, given an appropriately chosen composite is positive if, and only if, the two items…
Descriptors: Grade 4, National Competency Tests, Test Items, Grade 8
Owston, Ronald D.; Dudley-Marling, Curt – 1986
The overall poor quality of educational software on the market suggests that educators must continue efforts to evaluate available packages and to disseminate their findings. In this paper, weaknesses in published evaluation procedures are identified, and an alternative model, the York Educational Software Evaluation Scale (YESES), is described.…
Descriptors: Computer Software, Correlation, Elementary Secondary Education, Evaluation Criteria
South Carolina State Dept. of Education, Columbia. – 1985
A committee selected microcomputer software for inclusion in this publication, and then correlated the software to the South Carolina Basic Skills Assessment Program (BSAP) Mathematics Objectives for grades 1-8. It was noted that this correlation of 93 selected software programs to BSAP Mathematics Objectives should be used only as a beginning…
Descriptors: Computer Software, Correlation, Educational Objectives, Elementary School Mathematics
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Ware, William B.; Galassi, John P. – Professional School Counseling, 2006
Correlational data and regression analysis provide the school counselor with a method to describe growth in achievement test scores from elementary to high school. Using Microsoft Excel, this article shows the reader in a step-by-step manner how to describe this growth pattern and how to evaluate interventions that attempt to enhance achievement…
Descriptors: Ethnic Groups, Elementary Secondary Education, School Counselors, Achievement Tests
Sammons, Dorothy; Strickland, A. W. – 2000
This study examined correlations between teacher characteristics and teacher attitudes toward multimedia development among teachers creating multimedia projects in teacher teams and with students using HyperStudio. Information on personality type, age, gender, grade level, years of teaching, computer experience, and self-reported skill levels was…
Descriptors: Authoring Aids (Programming), Computer Attitudes, Computer Software Development, Correlation
Gold, Stephanie – Technology & Learning, 2005
The concept of data-driven professional development is both straight-forward and sensible. Implementing this approach is another story, which is why many administrators are turning to sophisticated tools to help manage data collection and analysis. These tools allow educators to assess and correlate student outcomes, instructional methods, and…
Descriptors: Teaching Methods, Instructional Effectiveness, State Standards, Computer Software
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