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Lindström, Esther R.; Gesel, Samantha A.; Lemons, Christopher J. – Intervention in School and Clinic, 2019
Students with severe and persistent academic or behavioral challenges may benefit from data-based individualization (DBI). Starting with an evidence-based standard protocol and systematic progress monitoring, teachers can evaluate growth and implement individualized interventions to meet students' needs. Specifically, this article addresses the…
Descriptors: Students with Disabilities, Behavior Problems, Evidence Based Practice, Student Evaluation
Center on Standards and Assessments Implementation, 2018
The recommendations in this brief create a framework for using data effectively to make instructional decisions. The availability of student-level data for educators has pushed forward the movement to strengthen the role of data to guide instruction and improve student learning. While improvements in technology and assessments, as well as recent…
Descriptors: Student Evaluation, Information Utilization, Data Collection, Data Analysis
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Ko, Eunhye; Lim, Kyu Yun; Joo, Soo Hyoung; Resta, Paul E. – Journal of Technology and Teacher Education, 2021
The unforeseen school closures in response to COVID-19 have brought unique challenges to teachers, who were required to not only flexibly shift between on- and off-line learning but also safely promote student-centered and collaborative learning in socially distanced remote and on-campus classrooms. Teachers in South Korea, one of the first…
Descriptors: Foreign Countries, Blended Learning, Educational Technology, Technology Uses in Education
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Wainscott, Heidi – Physics Teacher, 2016
When grading students' quizzes and exams, I find that students are seemingly always changing their answers from the right answer to the wrong answer. In fact, I have cautioned students against changing their answer. Colleagues have made similar observations and some books on test-taking strategies advise against answer-changing. In an effort to…
Descriptors: Physics, Science Tests, Student Evaluation, Grading
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DiCerbo, Kristen E.; Xu, Yuning; Levy, Roy; Lai, Emily; Holland, Laura – Educational Assessment, 2017
Inferences about student knowledge, skills, and attributes based on digital activity still largely come from whether students ultimately get a correct result or not. However, the ability to collect activity stream data as individuals interact with digital environments provides information about students' processes as they progress through learning…
Descriptors: Models, Cognitive Processes, Elementary School Students, Grade 3
British Columbia Teachers' Federation, 2021
British Columbia (BC) has experienced a significant teacher shortage for years. While every region of the province is impacted, rural and remote communities have experienced a worsening shortage especially during the pandemic. Additionally, there is a critical shortage of specialist teachers across the province. This Education Brief outlines five…
Descriptors: Foreign Countries, Teacher Shortage, Rural Education, Specialists
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Scholes, Vanessa – Educational Technology Research and Development, 2016
There are good reasons for higher education institutions to use learning analytics to risk-screen students. Institutions can use learning analytics to better predict which students are at greater risk of dropping out or failing, and use the statistics to treat "risky" students differently. This paper analyses this practice using…
Descriptors: Data Collection, Data Analysis, Educational Research, At Risk Students
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Moore, Donald E., Jr. – New Directions for Adult and Continuing Education, 2018
This chapter proposes approaches for assessing learners and evaluating courses and curriculum that could be used by directors of health professions education (HPE) programs to determine the effectiveness and impact of their programs.
Descriptors: Student Evaluation, Course Evaluation, Curriculum Evaluation, Health Education
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Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
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Tchoua, Roselyne B.; Qin, Jian; Audus, Debra J.; Chard, Kyle; Foster, Ian T.; de Pablo, Juan – Journal of Chemical Education, 2016
Structured databases of chemical and physical properties play a central role in the everyday research activities of scientists and engineers. In materials science, researchers and engineers turn to these databases to quickly query, compare, and aggregate various properties, thereby allowing for the development or application of new materials. The…
Descriptors: Science Education, Chemistry, Thermodynamics, Databases
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Pereira, Diana; Niklasson, Laila; Flores, Maria Assunção – Higher Education: The International Journal of Higher Education Research, 2017
This paper aims at investigating students' perceptions about assessment, especially the ways in which it is put into practice. Data were collected through questionnaires in different programmes in Portugal and Sweden. In total, 173 students from Portugal and 72 from Sweden participated in the study. Findings showed that students had similar ideas…
Descriptors: Foreign Countries, Comparative Education, Student Attitudes, Student Evaluation
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Gallagher, Kerry – State Education Standard, 2016
Digital tools are making it easier than ever for teachers to gather and analyze formative data. Paper exit slips can take a classroom teacher upward of an hour to sort and graph after just one day of classes. But now, that same teacher can pose a question out loud to the class and ask students to type answers on their mobile phones and hit send.…
Descriptors: Data Collection, Formative Evaluation, Technology Uses in Education, Handheld Devices
Northwest Evaluation Association, 2016
Blue Valley, the fourth largest school district in Kansas, covers 91 square miles. More than 20,000 K-12 students attend its 34 schools ( five high schools, nine middle schools, and 20 elementary schools). Of the district's students, 8% qualify for free and reduced lunch and about 3% are English Language Learners. Blue Valley began using Measures…
Descriptors: School Districts, Standardized Tests, Academic Achievement, Elementary Schools
Albus, Deb A.; Lazarus, Sheryl S.; Thurlow, Martha L. – National Center on Educational Outcomes, 2021
This is the 22nd report by the National Center on Educational Outcomes (NCEO) that describes how states publicly report assessment data for students with disabilities in K-12 schools in the United States. The purpose of this report is to examine the extent to which states reported 2018-19 assessment data for students with disabilities "to the…
Descriptors: Elementary Secondary Education, Students with Disabilities, Student Evaluation, Grade 4
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Tee, Meng Yew; Samuel, Moses; Bin Mohd Nor, Norjoharuddeen; Nadarajan, Shanthi – Journal of International and Comparative Education, 2016
Little continues to be known about what actually happens in classrooms, particularly from a national perspective. Descriptions of classroom practices from a national vantage point can provide a bird's eye view of salient patterns and variations within an education system, especially one as centralised as that of Malaysia. With these descriptions,…
Descriptors: Educational Research, Research Methodology, Educational Practices, Curriculum Implementation
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