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Piotrkowicz, Alicja; Wang, Kaiwen; Hallam, Jennifer; Dimitrova, Vania – International Journal of Artificial Intelligence in Education, 2021
The paper presents a multi-faceted data-driven computational approach to analyse workplace-based assessment (WBA) of clinical skills in medical education. Unlike formal university-based part of the degree, the setting of WBA can be informal and only loosely regulated, as students are encouraged to take every opportunity to learn from the clinical…
Descriptors: Workplace Learning, Performance Based Assessment, Clinical Experience, Medical Education
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McFadden, Rory R.; Viskupic, Karen; Egger, Anne E. – Journal of Geoscience Education, 2021
Quantitative literacy is a foundational component of success in STEM disciplines and in life. Quantitative concepts and data-rich activities in undergraduate geoscience courses can strengthen geoscience majors' understanding of geologic phenomena and prepare them for future careers and graduate school, and provide real-world context to apply…
Descriptors: Earth Science, College Science, College Faculty, Mathematics Skills
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Krumm, Andrew E.; Boyce, Jared; Everson, Howard T. – Journal of Learning Analytics, 2021
This paper describes a collaboration organized around exchanging data between two technological systems to support teachers' instructional decision-making. The goals of the collaboration among researchers, technology developers, and practitioners were not only to support teachers' instructional decision-making but also to document the challenges…
Descriptors: Cooperation, Data Use, Decision Making, Technology Uses in Education
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Walsh, Cole; Stein, Martin M.; Tapping, Ryan; Smith, Emily M.; Holmes, N. G. – Physical Review Physics Education Research, 2021
Omitted variable bias occurs in most statistical models. Whenever a confounding variable that is correlated with both dependent and independent variables is omitted from a statistical model, estimated effects of included variables are likely to be biased due to omitted variables. This issue is particularly problematic in physics education research…
Descriptors: Physics, Science Education, Educational Research, Statistical Bias
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Mockler, Nicole; Stacey, Meghan – Oxford Review of Education, 2021
Cultures of performative accountability in education have been on the rise globally since the 1980s. Accordingly, teachers have increasingly been encouraged to understand their work in relation to particular forms of 'evidence'. All evidence, however, is not regarded as equal, and sources of evidence privileged within cultures of performative…
Descriptors: Accountability, Evidence Based Practice, Foreign Countries, Research Utilization
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Dameron, Merry Leigh; Perry, Jennifer; Saunders, Rachel; Foxx, Sejal P. – Journal of School Counseling, 2021
Using data to drive decision-making and evaluate program effectiveness is paramount to the school counseling profession. In this pilot study, researchers utilized a quasi-experimental design to examine the impact of training in action research on students' data attitudes and self-efficacy. Participants in the experimental group saw greater…
Descriptors: School Counseling, Action Research, Counselor Training, Program Effectiveness
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Boaler, Jo; LaMar, Tanya; Williams, Cathy – Mathematics Teacher: Learning and Teaching PK-12, 2021
Over the course of 18 months, teams at the University of Chicago and Stanford University joined with other leaders across the United States and world to consider the issue of the types of mathematics used in the classroom. It quickly became clear that all students--starting from the youngest in prekindergarten to those in college--need to learn…
Descriptors: Mathematics Instruction, Teaching Methods, Kindergarten, Elementary Secondary Education
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McNamara, Gerry; Brown, Martin; Gardezi, Sarah; O'Hara, Joe; O'Brien, Shivaun; Skerritt, Craig – SAGE Open, 2021
School self-evaluation (SSE) has emerged as a widely used approach to school evaluation in recent decades. This has occurred in the context of what is referred to as "New Public Management," an element of which seeks to empower public institutions to make decisions locally about improving their processes and standards. Inspection regimes…
Descriptors: Self Evaluation (Groups), Decision Making, Foreign Countries, Teacher Attitudes
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McFarland, Daniel A.; Khanna, Saurabh; Domingue, Benjamin W.; Pardos, Zachary A. – AERA Open, 2021
This AERA Open special topic concerns the large emerging research area of education data science (EDS). In a narrow sense, EDS applies statistics and computational techniques to educational phenomena and questions. In a broader sense, it is an umbrella for a fleet of new computational techniques being used to identify new forms of data, measures,…
Descriptors: Learning Analytics, Statistics, Computation, Measurement
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Carbajal, Itza A. – Across the Disciplines, 2021
How can the creation, management, and use of metadata developed as part of post-custodial archival projects and partnerships between United States based institutions and Latin American organizations improve current archival description praxis? By recognizing that many historically colonized and oppressed communities in Latin America seek to…
Descriptors: Metadata, Racial Bias, Foreign Policy, Data Use
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Schwortz, Andria C.; Burrows, Andrea C. – Research in Science & Technological Education, 2021
Background: Dataset skills are used in STEM fields from astronomy to zoology. Few fields explicitly teach students the skills to analyze datasets, and yet the increasing push for authentic science implies these skills should be taught. Purpose: The overarching motivation of this work is to understand authentic science learning of STEM dataset…
Descriptors: Authentic Learning, STEM Education, Science Activities, Data Analysis
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Haering, Marlo; Bano, Muneera; Zowghi, Didar; Kearney, Matthew; Maalej, Walid – IEEE Transactions on Learning Technologies, 2021
With the vast number of apps and the complexity of their features, it is becoming challenging for teachers to select a suitable learning app for their courses. Several evaluation frameworks have been proposed in the literature to assist teachers with this selection. The iPAC framework is a well-established mobile learning framework highlighting…
Descriptors: Automation, Courseware, Computer Software Evaluation, Computer Software Selection
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Jiang, Yang; Gong, Tao; Saldivia, Luis E.; Cayton-Hodges, Gabrielle; Agard, Christopher – Large-scale Assessments in Education, 2021
In 2017, the mathematics assessments that are part of the National Assessment of Educational Progress (NAEP) program underwent a transformation shifting the administration from paper-and-pencil formats to digitally-based assessments (DBA). This shift introduced new interactive item types that bring rich process data and tremendous opportunities to…
Descriptors: Data Use, Learning Analytics, Test Items, Measurement
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Bickmore, Dana L.; Roberts, Maria M.; Gonzales, Miguel M. – Journal of Educational Administration, 2021
Purpose: School improvement planning and implementation is one organizational process by which principals may positively impact school and student outcomes. Limited research, however, has explored how principal preparation programs prepare aspiring leaders for this common school leadership activity. This study examined aspiring principals engaged…
Descriptors: Principals, Administrator Education, Educational Improvement, Instructional Leadership
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Marín, Victoria I.; Carpenter, Jeffrey P.; Tur, Gemma – British Journal of Educational Technology, 2021
Matters of data privacy related to social media are increasingly relevant for educators as happenings such as the 2018 Cambridge Analytica scandal have attracted public attention. Many educators use social media for professional purposes, including with their students and should, therefore, be knowledgeable regarding data privacy issues that…
Descriptors: Preservice Teachers, Preservice Teacher Education, Student Attitudes, Knowledge Level
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