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Neelam Raigangar – ProQuest LLC, 2022
Population growth and migration patterns have shown an influx of residents from rural to urban environments. To deal with the problems caused by unprecedented urban influx, cities should plan to use technology in a smart and distinctive way. Tackling at the city scale is hard. But a set of smart buildings that are interconnected by technology will…
Descriptors: Information Technology, Institutional Characteristics, School Buildings, Citizen Participation
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Tobias Rolfes; Jürgen Roth; Wolfgang Schnotz – Journal for STEM Education Research, 2022
Using multiple external representations is advocated for learning in STEM education. This learning approach assumes that multiple external representations promote richer mental representations and a deeper understanding of the concept. In mathematics, the concept of function is a prototypical content area in which multiple representations are…
Descriptors: STEM Education, Thinking Skills, Schemata (Cognition), Concept Formation
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Charles W. Patrick Jr.; James Machek; Reza Avazmohammadi; Daniel L. Alge; Charles W. Peak; Michael McShane – Biomedical Engineering Education, 2022
Gaps, redundancies, and bottlenecks in undergraduate curricula can markedly affect faculty teaching courses and the successful preparation of students for the professional biomedical engineering workforce. Anecdotal observations from faculty of potential curriculum deficiencies, the rapidly changing landscape of biomedical engineering education,…
Descriptors: Biomedicine, Engineering Education, Educational Improvement, Curriculum Development
Bettie Fisher Perry – ProQuest LLC, 2022
The present study used a sequential mixed method design to compare special education and general education elementary teachers' self-efficacy for data-driven decision making. Participants were 127 teachers from several school divisions in a mid-Atlantic state in the United States. Dunn et al.'s (2013a) "The Data-Driven Decision Making…
Descriptors: Elementary School Teachers, Special Education Teachers, Regular and Special Education Relationship, Data Use
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Danielle S. McNamara; Tracy Arner; Elizabeth Reilley; Paul Alvarado; Chani Clark; Thomas Fikes; Annie Hale; Betheny Weigele – Grantee Submission, 2022
Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…
Descriptors: Electronic Learning, Educational Technology, Networks, Learning Analytics
Grant Clayton; Phillip Morris; Joseph Taylor; Dick Carpenter – Sage Research Methods Cases, 2022
This case study introduces the use of the National Center for Education Statistics (NCES) publicly available data for linear regression. Our case uses an example of exploring the relationship between Advanced Placement (AP) course-taking, while in high school, on student science, technology, engineering, and mathematics grades upon enrolment to…
Descriptors: Online Searching, Research, Data Use, Regression (Statistics)
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Yan, Lau; Rosen, Harvey S. – Review of Higher Education, 2016
Observers have expressed concern about growing inequality in resources across universities. But are universities really becoming more unequal? We argue that the typical approach of examining endowment growth alone is not sensible. In line with the literature on household inequality, we focus instead on a comprehensive income measure. We find that…
Descriptors: Universities, Higher Education, Equal Education, Postsecondary Education
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Pouchard, Line; Bracke, Marianne Stowell – Issues in Science and Technology Librarianship, 2016
This paper describes a survey of data practices given to the Purdue College of Agriculture. Data practices are a concern for many researchers with new governmental funding mandates that require data management plans, and for the institution providing resources to comply with these mandates. The survey attempted to answer these questions: What are…
Descriptors: Agricultural Education, Case Studies, Data Processing, Data
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Rienties, Bart; Boroowa, Avinash; Cross, Simon; Kubiak, Chris; Mayles, Kevin; Murphy, Sam – Journal of Interactive Media in Education, 2016
There is an urgent need to develop an evidence-based framework for learning analytics whereby stakeholders can manage, evaluate, and make decisions about which types of interventions work well and under which conditions. In this article, we will work towards developing a foundation of an Analytics4Action Evaluation Framework (A4AEF) that is…
Descriptors: Open Universities, Foreign Countries, Intervention, Models
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Carlos Ortegón; Mathias Decuypere; Ben Williamson – Research in Education, 2024
The use of educational technologies in schools is being reshaped by a new kind of intermediary organization that brokers relations between schools, academia, governance, and industry. In this article we define and examine 'edtech brokers' as organizations that operate between the edtech industry, public schools, research centers and governments,…
Descriptors: Educational Technology, Technology Uses in Education, Information Scientists, Industry
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Isolda Margarita Castillo-Martínez; Davis Velarde-Camaqui; María Soledad Ramírez-Montoya; Jorge Sanabria-Z – Journal of Social Studies Education Research, 2024
Reasoning for complexity is a fundamental competency in these complex times for solutions to social problems and decision-making. The purpose of this paper is to demonstrate the validity and reliability of the eComplexity instrument by presenting its psychometric properties. The instrument consists of a Likert-type scale questionnaire designed to…
Descriptors: Psychometrics, Test Validity, Test Reliability, Difficulty Level
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Ndudi O. Ezeamuzie; Jessica S. C. Leung; Dennis C. L. Fung; Mercy N. Ezeamuzie – Journal of Computer Assisted Learning, 2024
Background: Computational thinking is derived from arguments that the underlying practices in computer science augment problem-solving. Most studies investigated computational thinking development as a function of learners' factors, instructional strategies and learning environment. However, the influence of the wider community such as educational…
Descriptors: Educational Policy, Predictor Variables, Computation, Thinking Skills
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Wesley Edwards; Kevin Russel Magill – Educational Review, 2024
The increased privatisation of educational systems is a global trend with several important implications for teachers' preparation and workforce outcomes. With many countries facing teacher shortages, retention for novice teachers is a key area of focus for educational leaders and policymakers -- yet there is a lack of evidence related to the…
Descriptors: For Profit Colleges, Teacher Education Programs, Career Readiness, Outcomes of Education
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Tiago Carvalho; Ana Correia Simões; Vasco Teles; António Henrique Almeida – European Journal of Engineering Education, 2024
Previous studies show that digital transition brings several benefits and challenges for companies. Among those challenges, particularly for Small and Medium-sized Enterprises (SMEs), the main one is increased capacitation, from technical roles to management. Considering this, the main objective of this study is to identify the training needs and…
Descriptors: Small Businesses, Educational Needs, Ecology, Job Skills
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Rwitajit Majumdar; Huiyong Li; Yuanyuan Yang; Hiroaki Ogata – Educational Technology & Society, 2024
Self-direction skill (SDS) is an essential 21st-century skill that can help learners be independent and organized in their quest for knowledge acquisition. While some studies considered learners from higher education levels as the target audience, providing opportunities to start the SDS practice by K12 learners is still rare. Further, practicing…
Descriptors: 21st Century Skills, Skill Development, Electronic Learning, Physical Activity Level
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