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Marlene Bönstrup; Iñaki Iturrate; Martin N. Hebart; Nitzan Censor; Leonardo G. Cohen – npj Science of Learning, 2020
Performance improvements during early human motor skill learning are suggested to be driven by short periods of rest during practice, at the scale of seconds. To reveal the unknown mechanisms behind these "micro-offline" gains, we leveraged the sampling power offered by online crowdsourcing (cumulative N over all experiments = 951).…
Descriptors: Memory, Time Factors (Learning), Skill Development, Intervals
Nate Turcotte – ProQuest LLC, 2020
The Learning Sciences has actively pursued an understanding of how individuals are using data to support their everyday needs and activities. In response to the recent interest in how data can be leveraged to provide personalized learning opportunities, I explore the collaborative data-driven practices of instructors and students at a Golf…
Descriptors: Data Use, Athletics, Physical Education, Physical Education Teachers
Kostopoulos, Georgios; Karlos, Stamatis; Kotsiantis, Sotiris – IEEE Transactions on Learning Technologies, 2019
Educational data mining has gained a lot of attention among scientists in recent years and constitutes an efficient tool for unraveling the concealed knowledge in educational data. Recently, semisupervised learning methods have been gradually implemented in the educational process demonstrating their usability and effectiveness. Cotraining is a…
Descriptors: Academic Achievement, Case Studies, Usability, Data Analysis
López-Belmonte, Jesús; Pozo-Sánchez, Santiago; Fuentes-Cabrera, Arturo; Trujillo-Torres, Juan-Manuel – Education Sciences, 2019
The progress of technology in the field of education has led to the development of new professional skills in the teaching community, such as digital competence. Likewise, it has propagated the appearance of new learning environments mediated by technological resources that favor the generation of a large volume of data, known as Big Data, derived…
Descriptors: Data Analysis, Teacher Competencies, Electronic Learning, Information Storage
Cimpian, Joseph R.; Timmer, Jennifer D. – AERA Open, 2019
Although numerous survey-based studies have found that students who identify as lesbian, gay, bisexual, or questioning (LGBQ) have elevated risk for many negative academic, disciplinary, psychological, and health outcomes, the validity of the types of data on which these results rest have come under increased scrutiny. Over the past several years,…
Descriptors: LGBTQ People, At Risk Students, Responses, High School Students
Flannery, K. Brigid; Kato, Mimi McGrath; Horner, Robert H. – Technical Assistance Center on Positive Behavioral Interventions and Supports, 2019
Using data for decision-making is critical for schoolwide leadership teams and has been shown to enhance both social and academic outcomes for students (Faria et al., 2017). Using data effectively, however, requires that teams have a clear vision about the type of data, format of data presentation, and process for using data. To avoid expending…
Descriptors: High School Students, Data Use, Outcomes of Education, Positive Behavior Supports
Canadian Association of University Teachers, 2019
Like other Canadians, the Canadian Association of University Teachers (CAUT) members are alarmed by the existential threat that climate change represents to the world. They believe leadership from Canadian governments is crucial along with meaningful changes from institutions and individual efforts. The post-secondary education (PSE) sector has a…
Descriptors: Foreign Countries, Higher Education, Climate, Change
Ilic, Peter – International Association for Development of the Information Society, 2019
This paper reflects on an attempt to introduce smartphones into a blended learning context and highlights several methodological considerations relevant to the collection of mobile data. While mixed methods are now common, using this approach for investigating the challenges of mobile data collection is not as common. This study employed a mixed…
Descriptors: Active Learning, Handheld Devices, Telecommunications, Blended Learning
Hsin-Yi Chang; Yen-Jung Chang; Meng-Jung Tsai – International Journal of STEM Education, 2024
Background: Data visualizations transform data into visual representations such as graphs, diagrams, charts and so forth, and enable inquiries and decision-making in many professional fields, as well as in public and economic areas. How students' data visualization literacy (DVL), including constructing, comprehending, and utilizing adequate data…
Descriptors: Data Analysis, Visual Aids, Task Analysis, Decision Making
Construction and Analysis of a Decision Tree-Based Predictive Model for Learning Intervention Advice
Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
Chelsea Waite; Maddy Sims – Center on Reinventing Public Education, 2024
The COVID-19 pandemic and recovery period is a unique opportunity to understand contemporary issues in high school reform. Evidence has clearly demonstrated lingering COVID impacts on adolescent students that have deepened pre-existing inequities and worsened teen mental health. There's a natural desire to regain normalcy after the pandemic. But…
Descriptors: Public Schools, High Schools, COVID-19, Pandemics
Matthew Berland; Antero Garcia – MIT Press, 2024
Educational analytics tend toward aggregation, asking what a "normative" learner does. In "The Left Hand of Data," educational researchers Matthew Berland and Antero Garcia start from a different assumption--that outliers are, and must be treated as, valued individuals. Berland and Garcia argue that the aim of analytics should…
Descriptors: Justice, Learning Analytics, Data Use, Futures (of Society)
Justin de la Cruz; Genevieve Milliken; Nicole Contaxis; Miguel Juárez; Peace Ossom – Issues in Science and Technology Librarianship, 2024
Background: The recruitment of Black, Indigenous, and People of Color (BIPOC) has been an ongoing effort for specialized libraries and library programs, especially as they try to fill technical roles while combatting internalized biases and candidates' potential self-deselection by not applying or otherwise removing themselves from the recruitment…
Descriptors: Recruitment, Minority Groups, Special Libraries, Graduate Students
Tamara L. Shreiner; Christopher C. Martell – Race, Ethnicity and Education, 2024
Data visualizations, including timelines, maps, and graphs, are often used to present social and political information in the media. Students need to learn how to make sense of data visualizations and recognize when they are being used to mislead, or when they advance white supremacist views. In this study, we used critical race analysis to…
Descriptors: Online Courses, Instructional Materials, History Instruction, Racism
Tifane Johnson – ProQuest LLC, 2024
In the wake of the COVID-19 pandemic, educational systems worldwide have faced unprecedented challenges, particularly concerning the support of students based on traditional face-to-face instruction. This study focused on the concerns surrounding 2nd grade students at LEA and DRA, two urban elementary schools, who have faced multiple layers of…
Descriptors: Data Use, Teaching Methods, Faculty Development, COVID-19