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Semih Bursali – ProQuest LLC, 2022
Procrastination is a well-known phenomenon experienced by a lot of people in everyday life. People sometimes intentionally, sometimes unintentionally put off their tasks even though they might be worse off due to the delay (e.g., not paying bills due, even though they have sufficient funds in their bank account). It is safe to say everybody…
Descriptors: Attention Span, Data Use, Goal Orientation, Self Management
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Molle, Daniella – Teachers College Record, 2020
Context: The pervasiveness of deficit-based discourses about multilingual students has long been documented in the scholarly literature. Such discourses severely erode the learning and well-being of multilingual youth. One of the spaces in which deficit-based discourses about students may be transformed is professional development. Focus of the…
Descriptors: Bilingual Students, Middle School Teachers, Data Use, Teacher Attitudes
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Reeves, Todd D.; Onder, Yasemin; Abdi, Beheshteh – Mid-Western Educational Researcher, 2020
Sound measurement of teacher self-efficacy and anxiety surrounding data-driven decision making is crucial in both theory-building and efficacy studies, as well as in practical contexts. The present study (N=457) thusly examined the validity of inferences drawn from the Data-Driven Decision-Making Efficacy and Anxiety Inventory (3D-MEA; Dunn et…
Descriptors: Test Validity, Data Use, Decision Making, Self Efficacy
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Yousafzai, Bashir Khan; Hayat, Maqsood; Afzal, Sher – Education and Information Technologies, 2020
The presented work is a student marks and grade prediction system using supervised machine learning techniques, the system is developed on the historic performance of students. The data used in this research is collected from Federal Board of Intermediate and Secondary Education Islamabad Pakistan, there are 7 regions in FBISE i.e. Punjab, Sindh,…
Descriptors: Artificial Intelligence, Foreign Countries, Prediction, Grades (Scholastic)
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Durda, Tabea; Artelt, Cordula; Lechner, Clemens M.; Rammstedt, Beatrice; Wicht, Alexandra – International Review of Education, 2020
Low literacy among adolescents and adults worldwide remains a serious problem, even in economically developed countries. The consequences of low reading proficiency levels can be harmful in many ways for both the individuals concerned and their communities in terms of health, political, social and economic outcomes. While large-scale international…
Descriptors: Reading Achievement, Reading Skills, Low Achievement, Adolescents
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Detrich, Ronnie – School Psychology Review, 2020
Including cost-effectiveness data in the evaluation of programs is the next step in the evolution of evidence-based practice. Evidence-based practice is grounded in three complementary elements: best available evidence, professional judgment, and client values and context. To fully apply the cost-effectiveness data, school administrators will have…
Descriptors: Cost Effectiveness, Evidence Based Practice, Program Evaluation, Data Use
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Byrd, A. Preston; Vincent, Stacy K.; Mazur, Joan; Namkoong, Kang – Journal of Agricultural Education, 2020
This examination of secondary agricultural education students' performance was used to determine if students could perform up to industry standards. In this study, the industry standard were blueprints created by engineers at the National Institute for Occupational Safety and Health. Students had to fabricate a Cost-effective Roll-Over Protective…
Descriptors: Student Evaluation, Secondary School Students, Agricultural Education, Industry
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Mohan, Kaushik; Bergner, Yoav; Halpin, Peter – Technology, Knowledge and Learning, 2020
Technology-based assessments that involve collaboration among students offer many sources of process data, although it remains unclear which aspects of these data are most meaningful for making inferences about students' collaborative skills. Recent research has focused mainly on theory-based rubrics for qualitative coding of process data (e.g.,…
Descriptors: Computer Assisted Testing, Student Evaluation, Cooperation, Grade 12
Data Quality Campaign, 2020
For the first time in history, public schools have closed across the country, and students have been receiving instruction from their homes. But in their new role as educators, parents have been largely flying blind in their efforts to ensure that students are on track for success. This problem is not new: parents have always needed to be informed…
Descriptors: Data Use, COVID-19, Pandemics, Parent Participation
Petersen, Amanda J. – Wilder Research, 2020
Positive Behavioral Interventions and Supports (PBIS) is an evidence-based approach to addressing behavior issues in schools. A significant amount of research has been done to identify the critical features of PBIS. More generally, implementation science points to a specific sequence to ensure that PBIS is implemented with fidelity. This fall…
Descriptors: Positive Behavior Supports, Program Evaluation, Program Implementation, Fidelity
Finn, Douglas, III.; Finn, Michelle – Solution Tree, 2020
A challenge at the heart of personalized competency-based education (PCBE) is grouping and scheduling students according to their learning needs rather than their age. With this guidebook, you'll take a deep dive into the why and how of these foundational PCBE components. Gain clear guidance for gathering standards-based data and then using the…
Descriptors: Competency Based Education, Scheduling, Grouping (Instructional Purposes), Student Needs
Gordon, Nora; Conaway, Carrie – Harvard Education Press, 2020
Written by two leading experts in education research and policy, "Common-Sense Evidence" is a concise, accessible guide that helps education leaders find and interpret data and research, and then put that knowledge into action. In the book, Nora Gordon and Carrie Conaway empower educators to address the federal Every Student Succeeds Act…
Descriptors: Data Use, Educational Research, Educational Legislation, Federal Legislation
Ann Teresa Kellogg – ProQuest LLC, 2020
Forty states, including the District of Columbia, have established state longitudinal data systems (SLDS). The data included, intended functions, and methods for establishing SLDS vary from state to state. Further, forty-nine states and the District of Columbia have received one or more federal grant to support SLDS development. The adoption of…
Descriptors: Data Use, Educational Policy, Government School Relationship, Federal Aid
Guojing Zhou – ProQuest LLC, 2020
In interactive e-learning environments such as Intelligent Tutoring Systems, there are pedagogical decisions to make at two main levels of granularity: whole problems and single steps. Here, we focus on making the problem-level decisions of worked example (WE) vs. problem solving (PS) and the step-level decisions of elicit vs. tell. More…
Descriptors: Educational Policy, Problem Solving, Learning Processes, Competence
Marie Elizabeth Palano – ProQuest LLC, 2020
This study examines administrator perceptions of Pennsylvania's state assessment data. This study had three main purposes. The first purpose was to investigate the value and utility of state assessment data to inform decision making and the possibility of improving student achievement through the routine use of state assessment data. The second…
Descriptors: Administrator Attitudes, Data Use, Data Analysis, Academic Achievement
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