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Zhao, Qun; Wang, Jin-Long; Pao, Tsang-Long; Wang, Li-Yu – Journal of Educational Technology Systems, 2020
This study uses the log data from Moodle learning management system for predicting student learning performance in the first third of a semester. Since the quality of the data has great influence on the accuracy of machine learning, five major data transmission methods are used to enhance data quality of log file in the data preprocessing stage.…
Descriptors: Classification, Learning, Accuracy, Prediction
Silverman, Julian R.; Hudson, Reuben – Journal of Chemical Education, 2020
Exciting developments in the field of Green Chemistry spur the continuous innovation of experiments in the teaching laboratory. Beyond learning practical techniques, students can critically assess experiments using relevant metrics to propose further improvements and identify the most important interconnected impacts of these alternative products…
Descriptors: Chemistry, Science Experiments, Science Instruction, Laboratory Experiments
Perriam, Jessamy; Birkbak, Andreas; Freeman, Andy – International Journal of Social Research Methodology, 2020
Qualitative and mixed methods digital social research often relies on gathering and storing social media data through the use of APIs (Application Programming Interfaces). In past years this has been relatively simple, with academic developers and researchers using APIs to access data and produce visualisations and analysis of social networks and…
Descriptors: Social Media, Social Science Research, Access to Information, Social Life
Lewis, Norman P.; McAdams, Mindy; Stalph, Florian – Journalism and Mass Communication Educator, 2020
This syndicate offers four recommendations to help educators adjust curricula to accommodate the rapid integration of data into journalism. First, instruction in numeracy and basic descriptive statistics must be required as either modules in existing courses or as separate offerings. Second, students should be taught to avoid mistakes in…
Descriptors: Journalism, Data Analysis, Numeracy, Teaching Methods
Sowell, Shaun M.; Hunter, Quentin; Richey, Katelyn Gosnell; Baxter, Christopher – Professional School Counseling, 2020
School counselors are tasked with many activities, including demonstrating the effectiveness of interventions they use with students. The American School Counselor Association recommends that school counselors include assessment, appraisal, and evaluation of delivery and program management in their school counseling program. Single-case research…
Descriptors: School Counselors, Intervention, Program Effectiveness, Program Evaluation
Nguyen, Alyssa; Molloy, Kathy; White, Michelle; Nguyen, Vinh – RP Group, 2020
Meta-majors refer to the creation of broad program pathways or areas of interest, such as "Allied Health or Business." They are key components of the Guided Pathways efforts that provide students with a more structured and integrated academic experience. There are several different approaches (e.g., sorting exercises) colleges can use to…
Descriptors: Community Colleges, Majors (Students), Data Use, Identification
Goldhaber, Dan; Holden, Kris – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2020
Understanding the nature of the "early teacher pipeline," how many and what types of individuals are pursuing a teaching credential, is critically important. Unfortunately, we conclude that the two national data collections that can be used to explore the early teacher pipeline provide an incomplete and contrasting pictures of the supply…
Descriptors: Preservice Teachers, Teacher Supply and Demand, Problems, Information Systems
Epstein, Dale – Early Childhood Data Collaborative, 2020
At state and local levels, home visiting programs may use one of several mechanisms to collect and store data from families and clients who participate in home visiting services. States that are interested in integrating home visiting data with other early childhood data must often navigate the different ways in which home visiting data are stored…
Descriptors: Home Visits, Information Storage, Information Management, Young Children
Education Trust-West, 2020
For over 5 years, The Education Trust-West's #Data4ThePeople campaign has been a statewide effort to ensure California builds a data system that is designed with achieving equity and the needs of students, parents, and families at the center. Now with school and college closures caused by COVID-19 posing a real challenge to data accessibility and…
Descriptors: Equal Education, School Closing, COVID-19, Data Collection
Gitinabard, Niki; Okoilu, Ruth; Xu, Yiqao; Heckman, Sarah; Barnes, Tiffany; Lynch, Collin – International Educational Data Mining Society, 2020
Teamwork, often mediated by version control systems such as Git and Apache Subversion (SVN), is central to professional programming. As a consequence, many colleges are incorporating both collaboration and online development environments into their curricula even in introductory courses. In this research, we collected GitHub logs from two…
Descriptors: Teamwork, Group Activities, Student Projects, Programming
Deanna L. Oliver – ProQuest LLC, 2020
Student voice may seem like a new concept; however, it has a long history of being engrained in public schools in the United States. The trend towards incorporating and expanding student voice opportunities in high school is based on the tenets of democracy. Educators seek to provide an opportunity for students to practice democracy in their…
Descriptors: Student Surveys, Educational Environment, Student Attitudes, State Surveys
van Dijk, Wilhelmina; Schatschneider, Christopher; Al Otaiba, Stephanie; Hart, Sara A. – Educational and Psychological Measurement, 2022
Complex research questions often need large samples to obtain accurate estimates of parameters and adequate power. Combining extant data sets into a large, pooled data set is one way this can be accomplished without expending resources. Measurement invariance (MI) modeling is an established approach to ensure participant scores are on the same…
Descriptors: Sample Size, Data Analysis, Goodness of Fit, Measurement
Cutumisu, Maria; Adams, Catherine; Glanfield, Florence; Yuen, Connie; Lu, Chang – IEEE Transactions on Education, 2022
The growing interest of educational researchers in computational thinking (CT) has led to an expanding literature on assessments of CT skills and attitudes. However, few studies have examined whether CT attitudes influence CT skills. The present study examines the relationship between CT attitudes and CT skills for preservice teachers (PSTs). The…
Descriptors: Structural Equation Models, Preservice Teachers, Thinking Skills, Computation
Roegman, Rachel; Perkins-Williams, Ruqayyah; Budzyn, Matt; Killian-Tarr, Olivia; Allen, David – Educational Administration Quarterly, 2022
In this study, we examine principals' data use within four districts are engaged in district-level professional learning around equity. Drawing on Gutierrez's framework for dimensions of equity, we consider how principals engage in data use in light of the dimensions of access, achievement, identity, and power. Findings suggest each district had…
Descriptors: Principals, School Districts, Data Use, Professional Development
Leon, Carmen M.; Aizpurua, Eva; van der Valk, Sophie – Field Methods, 2022
Previous research shows that the direction of rating scales can influence participants' response behavior. Studies also suggest that the device used to complete online surveys might affect the susceptibility to these effects due to the different question layouts (e.g., horizontal grids vs. vertical individual questions). This article contributes…
Descriptors: Online Surveys, Comparative Analysis, Questionnaires, Foreign Countries

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