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Bezerra, Luis Naito Mendes; Silva, Márcia Terra – International Journal of Distance Education Technologies, 2020
In the current context of distance learning, learning management systems (LMSs) make it possible to store large volumes of data on web browsing and completed assignments. To understand student behavior patterns in this type of environment, educators and managers must rethink conventional approaches to the analysis of these data and use appropriate…
Descriptors: Learning Analytics, Data Collection, Class Size, Online Courses
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Edelstein, Jeffrey; Abbott, Jordan; Kimball, Ezekiel – Journal of Postsecondary Education and Disability, 2020
Disability-as-diagnosis, disability-as-identity, and disability-as-experience as pressing measurement issues in learning outcomes assessment are described in this paper. Disability represents a critically important latent variable in many learning outcomes assessment plans unless it is a formalized part of analytic plans. Noting the potential for…
Descriptors: Disabilities, Clinical Diagnosis, Identification (Psychology), Experience
Gage, Nicholas A.; Beahm, Lydia; Kaplan, Rachel; MacSuga-Gage, Ashley S.; Lee, Ahhyun – Beyond Behavior, 2020
The Positive Behavioral Interventions and Supports (PBIS) framework is currently implemented in more than 25,000 schools across the globe. Its implementation has demonstrated positive impacts on a number of behavioral and academic outcomes. A growing evidence base has found that PBIS has been particularly effective at reducing both in- and…
Descriptors: Student Behavior, Behavior Problems, Positive Behavior Supports, Intervention
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Yurkofsky, Maxwell M. – Harvard Educational Review, 2020
After decades of accountability and market-based reforms in education, school systems are now organizing more around improving teaching and learning. Yet these efforts frequently yield unintended, superficial, or even counterproductive changes at the school level. In this article, Maxwell Yurkofsky develops the concept of technical ceremonies as a…
Descriptors: Educational Change, Teaching Methods, Data Use, School Administration
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Ercikan, Kadriye; Guo, Hongwen; He, Qiwei – Educational Assessment, 2020
Comparing group is one of the key uses of large-scale assessment results, which are used to gain insights to inform policy and practice and to examine the comparability of scores and score meaning. Such comparisons typically focus on examinees' final answers and responses to test questions, ignoring response process differences groups may engage…
Descriptors: Data Use, Responses, Comparative Analysis, Test Bias
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Naujokaitiene, Justina; Tamoliune, Giedre; Volungeviciene, Airina; Duart, Josep M. – Journal of New Approaches in Educational Research, 2020
Student engagement is one of the most relevant topics within the academic and research community nowadays. Higher education curriculum, teaching and learning integrate new technology- supported learning solutions. New methods and tools enhance teacher and learner interactions and influence learner engagement positively. This research addresses the…
Descriptors: Learning Analytics, Learner Engagement, Instructional Improvement, Interaction
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Parker, John N.; Cardenas, Edgar; Dorr, Alexander N.; Hackett, Edward J. – Sociological Methods & Research, 2020
New technologies transform research specialties and potentiate new fields. Sociometers--wearable electronic sensors collecting quantitative, dynamic data about embodied social interactions at hyperfine scales--represent such a possibility for small group research. This article introduces this new method and its distinctive qualities and…
Descriptors: Measurement Equipment, Data Collection, Group Structure, Group Dynamics
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Whitesides, Heather; Beck, Jori S. – Teacher Educator, 2020
Research on equity in data literacy for teaching has lagged yet is of critical importance to ensuring new teachers are prepared to serve diverse students. Our multiple case study conveyed four elementary teacher candidates' understandings of this construct and their reaction to instruction in this domain. Data collection included interviews, item…
Descriptors: Preservice Teachers, Equal Education, Data Use, Student Diversity
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Lamberg, Teruni; Gillette-Koyen, Linda; Moss, Diana – Mathematics Teacher Educator, 2020
Formative assessment helps teachers make effective instructional decisions to support students to learn mathematics. Yet, many teachers struggle to effectively use formative assessment to support student learning. Therefore, teacher educators must find ways to support teachers to use formative assessment to inform instruction. This case study…
Descriptors: Formative Evaluation, Decision Making, Mathematics Instruction, Mathematics Teachers
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Broos, Tom; Pinxten, Maarten; Delporte, Margaux; Verbert, Katrien; De Laet, Tinne – Assessment & Evaluation in Higher Education, 2020
In this study, we present a case study involving two self-service dashboards providing feedback on learning and study skills and on academic achievement. These dashboards were offered to first-year university students in several study programmes in Flanders, Belgium. Data for this study were collected using usage tracking (N = 2875) and a survey…
Descriptors: Data Analysis, Learning Analytics, Dropout Prevention, Student Experience
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Bloom, Howard; Bell, Andrew; Reiman, Kayla – Journal of Research on Educational Effectiveness, 2020
This article assesses the likely generalizability of educational treatment-effect estimates from regression discontinuity designs (RDDs) when treatment assignment is based on academic pretest scores. Our assessment uses data on outcome and pretest measures from six educational experiments, ranging from preschool through high school, to estimate…
Descriptors: Data Use, Randomized Controlled Trials, Research Design, Regression (Statistics)
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Casarosa, Vittore; Ruggieri, Salvatore; Salvatori, Enrica; Simi, Maria; Turbanti, Simona – Education for Information, 2020
Interdisciplinarity is becoming increasingly important in education. With the rapidly evolving job market, an interdisciplinary education can prepare students for the flexibility and broad knowledge base required to adapt. At the University of Pisa, we recognized the value of an interdisciplinary educational environment during our participation in…
Descriptors: Universities, Information Science Education, Barriers, Masters Programs
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Lockton, Marie; Weddle, Hayley; Datnow, Amanda – School Effectiveness and School Improvement, 2020
Grounded in the belief that data will drive instructional change, data-driven decision making continues to be a prevalent reform strategy in schools. However, the use of data does not always prompt teachers to change their instructional practices, particularly in low-performing schools where accountability pressures loom large. Drawing on in-depth…
Descriptors: Data Use, School Effectiveness, Decision Making, Accountability
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Zane, Len – Honors in Practice, 2020
Many of the numbers used to assess students are statistical in nature. The theoretical context underlying the production of a typical number or statistic used in student assessment is presented. The author urges readers to recognize objective data as subjective information and to carefully consider the numbers that often determine admission,…
Descriptors: Student Evaluation, Statistical Analysis, Honors Curriculum, Admission Criteria
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Harrison, Michaela J.; Davies, C.; Bell, H.; Goodley, C.; Fox, S.; Downing, B. – Teaching in Higher Education, 2020
That compulsory education is datafied is widely acknowledged. A significant body of literature illuminates the policy context and technologies that have given rise to what we now call datafication. Less research has focussed on the consequences of datafication on teachers and learners. In this paper, we offer a unique perspective of these…
Descriptors: Masters Programs, Data Analysis, Teacher Qualifications, Experienced Teachers
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