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Edgerton, Adam K. – Congressional Research Service, 2022
The Carl D. Perkins Career and Technical Education Act (Perkins Act) is the primary federal law aimed at developing and supporting career and technical education (CTE) programs for secondary and postsecondary students. In the 109th Congress, the Perkins Act was reauthorized by the Carl D. Perkins Career and Technical Education Improvement Act of…
Descriptors: Educational Legislation, Federal Legislation, Vocational Education, Secondary Education
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Gachago, Daniela; Livingston, Candice – Reading & Writing: Journal of the Reading Association of South Africa, 2020
Background: Digital storytelling (DST) has been embraced in classrooms around the world as a way to unpack issues of identity and positionality which are critical for any pedagogy concerned with social justice. However, adopting this process-orientated practice into higher education raises ethical concerns especially in relation to the normative…
Descriptors: Story Telling, Computer Uses in Education, Social Justice, Ethics
Annie E. Casey Foundation, 2020
Advances in data science and computing power are rapidly shifting the opportunities available to citizens, changing how systems interact with almost every aspect of our lives: as students, job seekers, patients, citizens and consumers. This report presents the Annie E. Casey Foundation's point of view on the use of advanced analytics in social…
Descriptors: Data Analysis, Public Policy, Family Programs, Social Problems
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Bragg, Debra; Wetzstein, Lia; Meza, Elizabeth Apple; Yeh, Theresa – Community College Research Initiatives, 2020
Transferring from a community college to a university is a time of uncertainty for students. Leaving a familiar environment to attend another school where everything and everyone is new creates stress. Navigating a college journey that requires cutting ties during COVID-19 is especially daunting, yet this is exactly what we expect transfer…
Descriptors: College Transfer Students, Community Colleges, Two Year College Students, COVID-19
Malone, Naomi; Hernandez, Mike; Reardon, Ashley; Liu, Yihua – Advanced Distributed Learning Initiative, 2020
A capability maturity model provides a thorough understanding of where the organization is and, perhaps more importantly, where the organization needs to grow. The purpose of this report is to describe the development of the ADL Initiative Distributed Learning Capability Maturity Model (DL-CMM), illustrate its major components, and explain how it…
Descriptors: Organizational Effectiveness, Productivity, Success, Organizational Change
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Wong, Billy Tak-Ming; Li, Kam Cheong; Choi, Samuel Ping-Man – Interactive Technology and Smart Education, 2018
Purpose: This paper aims to review and identify the major patterns and trends in learning analytics practices in higher education institutions. The review covers the characteristics of the institutions, as well as the characteristics and outcomes of the learning analytics practices. Design/methodology/approach: This research collected literature…
Descriptors: Educational Trends, Educational Practices, Educational Research, Data Collection
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Di Mitri, Daniele; Schneider, Jan; Specht, Marcus; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2018
Multimodality in learning analytics and learning science is under the spotlight. The landscape of sensors and wearable trackers that can be used for learning support is evolving rapidly, as well as data collection and analysis methods. Multimodal data can now be collected and processed in real time at an unprecedented scale. With sensors, it is…
Descriptors: Educational Research, Data Collection, Data Analysis, Learning Modalities
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Schumacher, Clara; Ifenthaler, Dirk – Journal of Computing in Higher Education, 2018
Depending on their motivational dispositions, students choose different learning strategies and vary in their persistence in reaching learning outcomes. As learning is more and more facilitated through technology, analytics approaches allow learning processes and environments to be analyzed and optimized. However, research on motivation and…
Descriptors: Student Motivation, Learning Strategies, Goal Orientation, Self Concept
Golden, Cindy – Brookes Publishing Company, 2018
Collecting data on behavior, academic skills, and Individualized Education Plan (IEP) goals is an essential step in showing student progress--but it can also be a complicated, time-consuming process. Take the worry and stress out of data collection with this ultra-practical resource, packed with the tools you need to organize, manage, and monitor…
Descriptors: Data Collection, Information Management, Student Records, Student Behavior
Hofer, Andrea-Rosalinde; Brüning, Nora – OECD Publishing, 2022
This country note presents the results of an analysis of undertake Portugal undertaken within the Labour Market Relevance and Outcomes of Higher Education Partnership Initiative project. The project was implemented by the OECD with the support of the European Commission with the aim of helping policy makers and higher education institutions…
Descriptors: Foreign Countries, Labor Market, Relevance (Education), Outcomes of Education
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Nunan, Jordan; Stanier, Ian; Milne, Rebecca; Shawyer, Andrea; Walsh, Dave – Applied Cognitive Psychology, 2020
Law Enforcement Agencies gather intelligence in order to prevent criminal activity and "pursue" criminals. In the context of human intelligence collection, intelligence elicitation relies heavily upon the deployment of "appropriate" evidence-based interviewing techniques (a topic rarely covered in the extant research…
Descriptors: Law Enforcement, Data Collection, Evidence Based Practice, Interviews
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Cheng, Albert; Zamarro, Gema; Orriens, Bart – Sociological Methods & Research, 2020
Unit nonresponse in panel data sets is often a source of bias. Why certain individuals attrite from longitudinal studies and how to minimize this phenomenon have been examined by researchers. However, this research has typically focused on data sets collected via telephone, postal mail, or face-to-face interviews. Moreover, this research usually…
Descriptors: Personality Traits, Predictor Variables, Internet, Surveys
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Hayama, Tessai; Odate, Hidetaka; Ishida, Naoto – International Journal on E-Learning, 2020
The field of learning analytics has been limited by its frequent dependence on learning logs created by students while learning. Most of the research has dealt with the relationships between learning during a course and the achieved results. Although students' in-class behavior affects learning achievement, this remains a challenging aspect to…
Descriptors: Student Behavior, Data Collection, Measurement Equipment, College Students
Molnar, Alex; Boninger, Faith – Phi Delta Kappan, 2020
A school-focused commercializing process over 100 years in the making has been turbo-charged by the rise of data-collecting digital educational platforms and a pandemic that has forced widespread use of distance learning. Alex Molnar and Faith Boninger explain how advertising to students creates what John Dewey would call "mis-educative…
Descriptors: Commercialization, Educational Change, Privatization, Public Schools
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de Alteriis, Martin – American Journal of Evaluation, 2020
This article examines factors that could have influenced whether evaluations of U.S. government--funded foreign assistance programs completed in 2015 had considered unintended consequences. Logit regression models indicate that the odds of considering unintended consequences were increased when all or most of seven standard data collection methods…
Descriptors: Federal Programs, International Programs, Program Evaluation, Influences
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