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Manhas, Kiran Pohar; Oberle, Kathleen – Research Ethics, 2015
The interpretive and subjective nature of qualitative research has led to growing utilization of arts-based strategies for data collection, analysis and dissemination. The defining characteristic of all such strategies is that they are largely subjective and intended to invoke personal responses in the 'audience.' Following that direction, many…
Descriptors: Ethics, Figurative Language, Research Methodology, Qualitative Research
Goldhaber, Dan; Harris Douglas N.; Loeb, Susanna; McCaffrey, Daniel F.; Raudenbush, Stephen W. – Carnegie Foundation for the Advancement of Teaching, 2015
It is common knowledge that teacher quality is a key in-school factor affecting student achievement. While the quality of teaching clearly matters for how much students learn, this quality is challenging to measure. Evaluating teacher quality based on the level of their students' end-of-year test scores has been one method of assessing…
Descriptors: Teacher Effectiveness, Teacher Evaluation, Evaluation Methods, Measurement Techniques
Data Quality Campaign, 2015
Why do workforce data matter? A strong education prepares students to succeed in their chosen careers, but education, training, and employment pathways are changing. Individuals take multiple paths into the workforce. Some get jobs after completing high school, some after earning a college degree. To develop and support a strong workforce,…
Descriptors: Labor Force, Elementary Secondary Education, Education Work Relationship, Data
Emond, Bruno; Buffett, Scott – International Educational Data Mining Society, 2015
This paper reports on results of applying process discovery mining and sequence classification mining techniques to a data set of semi-structured learning activities. The main research objective is to advance educational data mining to model and support self-regulated learning in heterogeneous environments of learning content, activities, and…
Descriptors: Data Analysis, Classification, Learning Activities, Inquiry
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Ella Hartenian; Nicholas J. Horton – Journal of Statistics Education, 2015
The Rail Trail and Property Values dataset includes information on a set of n = 104 homes which sold in Northampton, Massachusetts in 2007. The dataset provides house information (square footage, acreage, number of bedrooms, etc.), price estimates (from Zillow.com) at four time points, location, distance from a rail trail in the community, biking…
Descriptors: Statistics, Physical Activities, Parks, Real Estate
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Yenipinar, Senyurt; Yildirim, Kamil; Tabak, Hasan – i.e.: inquiry in education, 2020
Aiming to describe the leadership potential (LP) of school principals, this study was carried out using the triangulation design of the mixed method. The study was carried out among 15 school administrators who were recruited using the purposive sampling method. Data were collected using an analytic graded measurement tool through a case-based,…
Descriptors: Data Analysis, School Administration, Instructional Leadership, Principals
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Singer-Freeman, Karen E.; Robinson, Christine – Research & Practice in Assessment, 2020
A grand challenge is a problem that requires broad cooperation for successful resolution from a community of scholars. Several national and international organizations have generated lists of grand challenges to unify the efforts of scholars and practitioners in a field. However, the field of assessment has yet to identify its own set of grand…
Descriptors: Higher Education, Educational Assessment, Equal Education, Educational Improvement
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van Halema, Nicolette; van Klaveren, Chris; Drachsler, Hendrik; Schmitz, Marcel; Cornelisz, Ilja – Frontline Learning Research, 2020
For decades, self-report instruments -- which rely heavily on students' perceptions and beliefs -- have been the dominant way of measuring motivation and strategy use. Event-based measures based on online trace data arguably has the potential to remove analytical restrictions of self-report measures. The purpose of this study is therefore to…
Descriptors: Independent Study, Learning Motivation, Learning Strategies, Student Behavior
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Kim, Miso – English Teaching, 2020
The purpose of this study was to analyze six English as a Foreign Language (EFL) learners' trajectories of discriminating near-synonyms in a data-driven learning task. Since the learners find it considerably difficult to learn subtle meaning differences of near-synonyms, corpus-based data-driven learning may provide an opportunity for them to…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Task Analysis
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Lasater, Kara; Albiladi, Waheeb S.; Davis, William S.; Bengtson, Ed – Educational Administration Quarterly, 2020
Purpose: The purpose of this study was to examine teachers and school leaders' experiences using data in the state of Arkansas. Research Design: Initially, an exploratory pilot study was conducted to examine educators' experiences using data within one Arkansas district. This involved focus groups with 24 participants from 10 schools. Data were…
Descriptors: Data Use, School Culture, Experience, Decision Making
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Ridings, Aaron – State Education Standard, 2020
Students who are lesbian, gay, bisexual, transgender, queer, or questioning (LGBTQ) continue to experience bullying and harassment from their peers in K-12 education. LGBTQ students experience discrimination based on their sexual orientation and gender identity, as well as intersecting identities that encompass race, disability status, ethnicity,…
Descriptors: LGBTQ People, Educational Environment, School Safety, Bullying
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Zadeh, Amir H.; Zolbanin, Hamed M.; Sengupta, Arijit; Schultz, Todd – Journal of Information Systems Education, 2020
Enterprise resource planning systems (ERP) are the most essential and critical information systems that are widely used to build all the functions of a business into a unified and efficient enterprise system. Although the essence of ERP systems are easy to understand, students, especially those who do not have technical experience, have difficulty…
Descriptors: Computer Software, Information Systems, Efficiency, Information Science Education
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Awuah, Rebecca; Gallagher, Kristel M.; Dierker, Lisa C. – Statistics Education Research Journal, 2020
To evaluate the impact of a multidisciplinary, project-based course in introductory statistics, this exploratory study examined learning experiences, feelings of confidence, and interest in future experiences with data for undergraduate students in Ghana, West Africa. Students completed a one-semester, introductory statistics course utilizing the…
Descriptors: Active Learning, Student Projects, Statistics Education, Introductory Courses
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Marland, Joshua; Harrick, Matthew; Sireci, Stephen G. – Educational and Psychological Measurement, 2020
Student assessment nonparticipation (or opt out) has increased substantially in K-12 schools in states across the country. This increase in opt out has the potential to impact achievement and growth (or value-added) measures used for educator and institutional accountability. In this simulation study, we investigated the extent to which…
Descriptors: Value Added Models, Teacher Effectiveness, Teacher Evaluation, Elementary Secondary Education
Jimenez, Laura – Center for American Progress, 2020
Schools face enormous challenges regarding how to operate efficiently and safely for the 2020-21 school year. As part of that response, some state leaders are asking the U.S. Department of Education to waive the annual federal testing and accountability requirements for 2021, which are key to understanding and addressing gaps in education among…
Descriptors: COVID-19, Pandemics, Disease Control, Well Being
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