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McGee, Monnie – Journal of Statistics Education, 2019
In several sporting events, the winner is chosen on the basis of a subjective score. These sports include gymnastics, ice skating, and diving. Unlike for other subjectively judged sports, diving competitions consist of multiple rounds in quick succession on the same apparatus. These multiple rounds lead to an extra layer of complexity in the data,…
Descriptors: Data Use, Visualization, Interrater Reliability, Introductory Courses
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Boulden, Danielle Cadieux; Pellegrino, Lauren; Gerakios, Joanna – School Library Research, 2019
The school librarian has a critical role to play in the 21st-century school learning environment. However, because of the constant changes in K-12 school environments and the difficult decisions administrators must make about allocating money to best help students, school librarians must rigorously document their professional growth and impact.…
Descriptors: School Libraries, Librarians, Professional Development, Action Research
Dobrenen, Diana D. – ProQuest LLC, 2019
Institutions of higher education are required by U.S. accrediting bodies to articulate their conceptual framework and develop a viable program improvement plan through a continuous reflective process of progressive problem solving that enables data-driven decision-making practices. To meet or exceed national accreditation standards for leadership,…
Descriptors: Improvement Programs, Program Evaluation, Higher Education, Educational Improvement
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Toda, Armando M.; Oliveira, Wilk; Shi, Lei; Bittencourt, Ig Ibert; Isotani, Seiji; Cristea, Alexandra – International Educational Data Mining Society, 2019
Gamification frameworks can aid in gamification planning for education. Most frameworks, however, do not provide ways to select, relate or recommend how to use game elements, to gamify a certain educational task. Instead, most provide a "one-size-fits-all" approach covering all learners, without considering different user…
Descriptors: Gender Differences, Game Based Learning, Preferences, Design
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Zhi, Rui; Marwan, Samiha; Dong, Yihuan; Lytle, Nicholas; Price, Thomas W.; Barnes, Tiffany – International Educational Data Mining Society, 2019
Viewing worked examples before problem solving has been shown to improve learning efficiency in novice programming. Example-based feedback seeks to present smaller, adaptive worked example steps during problem solving. We present a method for automatically generating and selecting adaptive, example-based programming feedback using historical…
Descriptors: Data Use, Feedback (Response), Novices, Programming
Cynthia Estremera – ProQuest LLC, 2019
Since the introduction of the specific learning disability (SLD) classification in federal special education legislation, there has been considerable ambiguity and controversy about the criteria that should be used in the determination of SLD (Kavale & Flanagan, 2007; Zumeta et al., 2014). Various models have been introduced to identify…
Descriptors: School Psychologists, Disability Identification, Learning Disabilities, Trend Analysis
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Michael McGuire – Vocabulary Learning and Instruction, 2019
The concept of data-driven learning (DDL) -- direct student use of corpora -- has been gaining attention among researchers and teachers. DDL gives learners the chance to take an inductive approach to learning by recognizing patterns in corpus data rather than following abstract rules. However, very few studies focus on presenting clear practices…
Descriptors: Japanese, English (Second Language), Second Language Learning, Second Language Instruction
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Sean Mackney; Robin Shields – International Perspectives on Education and Society, 2019
This chapter examines the application of learning analytics techniques within higher education -- learning analytics -- and its application in supporting "student success." Learning analytics focuses on the practice of using data about students to inform interventions aimed at improving outcomes (e.g., retention, graduation, and learning…
Descriptors: Learning Analytics, Academic Achievement, College Students, Data Use
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Elizabeth A. Roumell; Kevin Roessger – International Perspectives on Education and Society, 2019
In a world where the continual combining of computer applications and the expansion of artificial intelligence is already necessarily changing the world of work for people, an education system that does not adequately respond to these trends and changes will render itself irrelevant. Education policy and regulation may suffer at the hand of such…
Descriptors: Data Analysis, Data Use, Policy Analysis, Educational Policy
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Vasudha Chaudhari; Victoria Murphy; Allison Littlejohn – International Perspectives on Education and Society, 2019
Almost every detail of our lives -- where we go, what we do, and with whom -- is captured as digital data. Technological advancements in cloud computing, artificial intelligence, and data analytics offer the education sector new ways not only to improve policy and processes but also to personalize learning and teaching practice. However, these…
Descriptors: Data Use, Data Analysis, Information Technology, Technology Uses in Education
Paige Duggins-Clay; Makiah Lyons – Intercultural Development Research Association, 2025
To develop safe and healthy school environments, schools must be able to respond to bullying and harassment appropriately and take deliberate action to prevent it. This includes incidents where the bullying taking place is based on or related to a student's race, ethnicity, national origin, sex, gender, religion or disability status. Students…
Descriptors: Bullying, Victims, School Culture, School Safety
Paige Duggins-Clay; Makiah Lyons – Intercultural Development Research Association, 2025
To develop safe and healthy school environments, schools must be able to respond to bullying and harassment appropriately and take deliberate action to prevent it. This includes incidences where the bullying taking place is based on or related to a student's identity, such as their race, ethnicity, national origin, sex, gender, religion or…
Descriptors: Bullying, Victims, School Culture, School Safety
Jason Robert Murphy – ProQuest LLC, 2018
Implemented in 2013, the Local Control Funding Formula (LCFF) requires Local Education Agencies (LEA's) to engage in a continuous improvement process that identifies actions that extend and improve services for targeted student groups. The vision of the LCFF is that all stakeholder groups including Staff (certificated, classified, management and…
Descriptors: Data, Visualization, Stakeholders, Access to Information
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Yang, Zongkai; Yang, Juan; Rice, Kerry; Hung, Jui-Long; Du, Xu – IEEE Transactions on Learning Technologies, 2020
This article proposes two innovative approaches, the one-channel learning image recognition and the three-channel learning image recognition, to convert student's course involvements into images for early warning predictive analysis. Multiple experiments with 5235 students and 576 absolute/1728 relative input variables were conducted to verify…
Descriptors: Distance Education, At Risk Students, Artificial Intelligence, Man Machine Systems
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Lawson, Hal A.; Lawson, Michael A. – Education Sciences, 2020
Isolated teachers in stand-alone American schools are expected to engage diverse students in the quest to facilitate their academic learning and achievement. This strategy assumes that all students will come to school ready and able to learn, and educators in stand-alone schools can meet the needs of all students. Student disengagement gets short…
Descriptors: Learner Engagement, Holistic Approach, Cooperation, School Community Relationship
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