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Brantley, Christopher Loyd – ProQuest LLC, 2017
The purpose of this phenomenological study was to examine how teachers from various levels of technology self-efficacy perceive and implement technology within their specific classroom. Using a qualitative approach, I explored four public schools from a medium to large-sized school district in the Southeastern United States. The Technology…
Descriptors: Secondary School Teachers, Teacher Attitudes, Self Efficacy, Technology Integration
Tennessee Department of Education, 2017
More than 65,000 teachers show up each day to work in Tennessee's public schools. At the current rate, half of these teachers will leave or retire in the next decade. The positions they vacate will be filled primarily by novice educators. What will it take to ensure Tennessee has a strong and vibrant new teacher pipeline in the years to come? This…
Descriptors: Preservice Teacher Education, Beginning Teachers, Teacher Effectiveness, Teacher Supply and Demand
Cedefop - European Centre for the Development of Vocational Training, 2017
European policy-making in vocational education and training (VET) needs to be supported by sound evidence. In this report, Cedefop has selected 36 indicators to quantify key aspects of VET and lifelong learning. The selection is based on their policy relevance and their importance in achieving the Europe 2020 objectives. The report accounts for…
Descriptors: Vocational Education, Technical Education, Educational Quality, Lifelong Learning
Nussbaum, Luci – Research-publishing.net, 2017
Research in schools entails a journey of mutual recognition and trust between the researchers and the teaching staff, and a negotiation of give-and-take. The most effective reward for both parties is engaging in a mutually satisfying project in which both the researchers and the teachers occupy complementary spaces--rather than asymmetrical…
Descriptors: Teacher Researchers, Doctoral Programs, Teacher Collaboration, Partnerships in Education
Rihák, Jirí; Pelánek, Radek – International Educational Data Mining Society, 2017
Educational systems typically contain a large pool of items (questions, problems). Using data mining techniques we can group these items into knowledge components, detect duplicated items and outliers, and identify missing items. To these ends, it is useful to analyze item similarities, which can be used as input to clustering or visualization…
Descriptors: Item Analysis, Data Analysis, Visualization, Simulation
Auspos, Patricia – Annie E. Casey Foundation, 2017
An integrated data system (IDS) that links information from separate administrative data systems offers policymakers, program administrators and researchers a powerful tool to analyze interactive effects across systems and make more informed decisions to improve outcomes for vulnerable families. This case study discusses how two states (Washington…
Descriptors: Data Use, Child Welfare, Foster Care, Family Programs
Fife, James H.; James, Kofi; Peters, Stephanie – ETS Research Report Series, 2020
The concept of variability is central to statistics. In this research report, we review mathematics education research on variability and, based on that review and on feedback from an expert panel, propose a learning progression (LP) for variability. The structure of the proposed LP consists of 5 levels of sophistication in understanding…
Descriptors: Mathematics Education, Statistics Education, Feedback (Response), Research Reports
Kazaz, Ilknur – International Online Journal of Education and Teaching, 2020
The last decade has witnessed a strong impact of emerging technologies on language pedagogy due to the developments in the computer technologies. The use of authentic linguistic examples through corpora and concordance based activities is defined as data-driven learning and it exposes the students to examples of more realistic language than…
Descriptors: Alternative Assessment, Vocabulary Skills, Comparative Analysis, State Universities
Radinsky, Josh – Cognition and Instruction, 2020
Learning in data-rich environments has been a focus of learning sciences research since the inception of the field, with increasing interest in the ways learners "narrate data." This article examines the narration of data from the perspective of "learning on the move," identifying mobilities of data, and of the narratives in…
Descriptors: Data Analysis, Learning Processes, Grade 7, Social Studies
Hougen, Martha C., Ed.; Smartt, Susan M., Ed. – Brookes Publishing Company, 2020
Understand the science of reading and how to implement evidence-based instruction to increase the reading and writing achievement of pre-K-6 students, including those at risk for reading difficulties. Fully revised and updated, this core text covers the research base for structured literacy instruction and practical guidance on the essential…
Descriptors: Spelling, Evidence Based Practice, Reading Achievement, Writing Achievement
Andrew Bacher-Hicks; Joshua Goodman; Christine Mulhern – Annenberg Institute for School Reform at Brown University, 2020
We use high frequency internet search data to study in real time how US households sought out online learning resources as schools closed due to the COVID-19 pandemic. By April 2020, nationwide search intensity for both school- and parent-centered online learning resources had roughly doubled relative to baseline. Areas of the country with higher…
Descriptors: Distance Education, COVID-19, Pandemics, Educational Change
Waters, Andrew; Studer, Christoph; Baraniuk, Richard – Journal of Educational Data Mining, 2014
Identifying collaboration between learners in a course is an important challenge in education for two reasons: First, depending on the courses rules, collaboration can be considered a form of cheating. Second, it helps one to more accurately evaluate each learners competence. While such collaboration identification is already challenging in…
Descriptors: Cooperation, Large Group Instruction, Online Courses, Probability
Monroy, Carlos; Rangel, Virginia Snodgrass; Whitaker, Reid – Journal of Learning Analytics, 2014
In this paper, we discuss a scalable approach for integrating learning analytics into an online K-12 science curriculum. A description of the curriculum and the underlying pedagogical framework is followed by a discussion of the challenges to be tackled as part of this integration. We include examples of data visualization based on teacher usage…
Descriptors: Elementary Secondary Education, Science Education, Science Curriculum, Educational Research
Ochoa, Xavier; Suthers, Dan; Verbert, Katrien; Duval, Erik – Journal of Learning Analytics, 2014
Analyzing a conference, especially one as young and focused as LAK, provides the opportunity to observe the structure and contributions of the scientific community around it. This work will perform a Scientometric analysis, coupled with a more in-depth manual content analysis, to extract this insight from the proceedings and program of LAK 2013.…
Descriptors: Data Analysis, Data Collection, Conferences (Gatherings), Content Analysis
Wise, Alyssa Friend; Zhao, Yuting; Hausknecht, Simone Nicole – Journal of Learning Analytics, 2014
This paper describes an application of learning analytics that builds on an existing research program investigating how students contribute and attend to the messages of others in asynchronous online discussions. We first overview the E-Listening research program and then explain how this work was translated into analytics that students and…
Descriptors: Data Collection, Data Analysis, Asynchronous Communication, Computer Mediated Communication

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