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Slaven, Chip – Alliance for Excellent Education, 2015
Schools have long collected information about students, from basic emergency contact details to daily attendance statistics. But only recently have schools used education technology to collect solid, reliable information (or data) about how students learn--as well as details about their strengths, challenges, and individual traits that impact…
Descriptors: Data, Learning, Students, Data Collection
Cunningham, Jim – International Educational Data Mining Society, 2015
In this paper, I describe preliminary work on a new research project in learning analytics at Arizona State University. In conjunction with an innovative remedial mathematics course using Khan Academy and student coaches, this study seeks to measure the effectiveness of visualized data in assisting student coaches as they help remedial math…
Descriptors: Research Projects, Remedial Mathematics, Coaching (Performance), Visual Aids
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Admiraal, Wilfried; Vermeulen, Jordi; Bulterman-Bos, Jacquelien – Technology, Pedagogy and Education, 2020
Computer-based assessments can provide students with feedback to guide their learning as well as inform teachers who extract information to prepare their teaching. Five secondary school teachers were monitored during one school year to answer the following research questions: (1) What kind of student data do teachers use for their teaching…
Descriptors: Learning Analytics, Computer Assisted Testing, Data Use, Formative Evaluation
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Viberg, Olga; Wasson, Barbara; Kukulska-Hulme, Agnes – Australasian Journal of Educational Technology, 2020
Many adult second and foreign language learners have insufficient opportunities to engage in language learning. However, their successful acquisition of a target language is critical for various reasons, including their fast integration in a host country and their smooth adaptation to new work or educational settings. This suggests that they need…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Second Language Learning, Lifelong Learning
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Rowe, Shawn; Riggio, Mariapaola; De Amicis, Raffaele; Rowe, Susan R. – Education Sciences, 2020
This paper discusses elementary, and secondary (K-12) teachers' perceptions of cross-reality (XR) tools for data visualization and use of sensor data from the built environment in classroom curricula. Our objective was to explore the use of sensor-informed XR in the built environment and civil engineering (BECE) field to support K-12 science,…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teacher Attitudes, Artificial Intelligence
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Rogiers, Amelie; Merchie, Emmelien; van Keer, Hilde – Frontline Learning Research, 2020
The current study uncovers secondary school students' actual use of text-learning strategies during an individual learning task by means of a concurrent self-reported thinking aloud procedure. Think-aloud data of 51 participants with different learning strategy profiles, distinguished based on a retrospective self-report questionnaire (i.e., 15…
Descriptors: Secondary School Students, Learning Strategies, Protocol Analysis, Research Methodology
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Chestnutt, Hannah Renée – School Effectiveness and School Improvement, 2020
The choice of a social network analysis approach for the exploration of relationships in educational settings provides the opportunity for a unique perspective about informal networks of relationships. Rather than considering only the attributes of individuals or organizations, social network analysis affords the opportunity to also examine the…
Descriptors: Social Networks, Network Analysis, Social Structure, Interpersonal Relationship
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Ahn, Byunghoon; Harley, Jason M. – British Journal of Educational Technology, 2020
Learning analytics (LA) incorporates analyzing cognitive, social and emotional processes in learning scenarios to make informed decisions regarding instructional design and delivery. Research has highlighted important roles that emotions play in learning. We have extended this field of research by exploring the role of emotions in a relatively…
Descriptors: Nonverbal Communication, Computer Software, LGBTQ People, Data Analysis
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Yell, Mitchell L.; Bateman, David; Shriner, Jim – TEACHING Exceptional Children, 2020
This article concludes this special issue by highlighting some of the most important points from the U.S. Supreme Courts decision in "Board of Education v. Rowley" (1982) and "Endrew F. v. Douglas County School District" (2017) but also discussing another crucial point to which school district personnel must adhere to ensure…
Descriptors: Individualized Education Programs, Program Development, Program Implementation, School Districts
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Nazzaro, Valerie; Rose, Jennifer; Dierker, Lisa – Statistics Education Research Journal, 2020
A central challenge of introductory statistics is the development of curricula that not only serve diverse students, but also leave them wanting more. To evaluate the potential impact of a multidisciplinary, project-based introductory statistics course, students' future course decisions were compared against traditional statistics courses using…
Descriptors: Enrollment Influences, Undergraduate Students, Student Characteristics, Student Interests
Kreamer, H. Michelle; Orme, Sarah; Hobson, Victoria; Moran, Melinda; Mahoney, Kerrigan; Moon, Tonya R.; Brighton, Catherine – Gifted Child Today, 2020
The tool, "Elevating Instruction: A Planning Tool," was designed to aid teachers in improving literacy instruction to best meet the academic needs of all students, including advanced readers in the primary classroom. It is crucial for teachers to elevate reading practices for advanced readers during the time when young learners are…
Descriptors: Academically Gifted, Elementary School Teachers, Elementary School Students, Student Needs
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Chen, Yu – Community College Journal of Research and Practice, 2020
This quantitative study explored the statistical relationship between American Association of Community Colleges (AACC) leadership competencies and data-driven decision making (DDDM) literacy among rural community college leaders in the Midwest. Specifically, the authors examined how AACC community college leadership competencies may predict the…
Descriptors: Community Colleges, Rural Schools, Leadership Qualities, Competence
Troia, Gary A.; Brehmer, Julie S.; Glause, Kaitlin; Reichmuth, Heather L.; Lawrence, Frank – Grantee Submission, 2020
Data were collected for this study early in the school year to analyze the direct and indirect effects of word-level literacy skills (word recognition, spelling, and written vocabulary use) and handwriting fluency on writing quality across three genres of typewritten papers. We further explored whether typing fluency and text generation fluency…
Descriptors: Literacy, Achievement Tests, English (Second Language), Writing Ability
Eber, Lucille; Barrett, Susan; Scheel, Nicholas; Flammini, Ami; Pohlman, Katie – Center on Positive Behavioral Interventions and Supports, 2020
As educators have become increasingly aware of the impact of trauma on the school success of children and youth, they have been investing in professional development about how to address childhood trauma in schools. However, evaluation to support evidence of impact are lacking. This Guide describes how to integrate trauma-informed approaches into…
Descriptors: Trauma, Positive Behavior Supports, Intervention, Social Development
Cottingham, Benjamin W. – Policy Analysis for California Education, PACE, 2020
This policy brief identifies three key principles Local Education Agencies (LEAs) can take to increase parental engagement through better data-use practices. While California identifies parental engagement as one of 10 priority areas under the Local Control Funding Formula (LCFF) and provides access to school data through the Local Control…
Descriptors: Parent Participation, Parent School Relationship, COVID-19, Pandemics
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