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Hedges, Sarai; Harkness, Shelly Sheats; Given, Kim – Middle Grades Research Journal, 2022
In this article we report on middle school students' understanding of concepts related to the second step of the statistical problem-solving process, study design: create a plan and collect data. Students participated in an open-ended statistics lesson involving nonexperimental study design. For this research we analyzed the students' discourse…
Descriptors: Middle School Students, Concept Formation, Research Design, Data Collection
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Matthieu Cisel – Canadian Journal of Education, 2024
Over the last decade, teachers in France have been increasingly pressured to use digital learning environments, and to shift from grade-based to skill-based assessment. Educational dashboards, which measure student input electronically, could foster such a transition by providing insights into learners' performances. However, such dashboards could…
Descriptors: Foreign Countries, Computer Assisted Testing, Summative Evaluation, Elementary School Students
Bedell, Kristin Dana – ProQuest LLC, 2023
"Citizen science" popularly refers to a participatory approach in which lay persons voluntarily contribute data toward scientific enterprise. Although citizen science may provide unique opportunities for pre-college students to engage in data-intensive science practices, little is known about whether or how citizen science interacts with…
Descriptors: Middle School Students, Epistemology, Decision Making, Student Participation
Viegas, Rachel A. – ProQuest LLC, 2023
At City Academies Neighborhood Middle School, there is a gap in student achievement. Over the course of two years, our lowest performing students did not grow at the rate of their peers. This problem has several consequences, including over classification of students with disabilities and a widening achievement gap. The purpose of my research was…
Descriptors: Middle School Students, Middle School Teachers, Achievement Gap, Individualized Instruction
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Bowen, Natasha K.; Lucio, Robert; Patak-Pietrafesa, Michele; Bowen, Gary L. – Children & Schools, 2020
To support student success effectively, school teams need information on known predictors of youth behavior and academic performance. In contrast to measures of behavioral and academic outcomes that are commonly relied on in schools, the School Success Profile (SSP) for middle and high school students provides comprehensive information on…
Descriptors: Success, Predictor Variables, Behavior, Expectation
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Moon, Jewoong; Ke, Fengfeng; Sokolikj, Zlatko; Dahlstrom-Hakki, Ibrahim – Journal of Learning Analytics, 2022
Using multimodal data fusion techniques, we built and tested prediction models to track middle-school student distress states during educational gameplay. We collected and analyzed 1,145 data instances, sampled from a total of 31 middle-school students' audio- and video-recorded gameplay sessions. We conducted data wrangling with student gameplay…
Descriptors: Learning Analytics, Stress Variables, Educational Games, Middle School Students
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Göktepe Körpeoglu, Seda; Göktepe Yildiz, Sevda – Education and Information Technologies, 2023
Examining students' attitudes towards STEM (science, technology, engineering, and mathematics) fields starting from middle school level is important in their career choices and future planning. However, there is a need to investigate which variables affect students' attitudes towards STEM. Here, we aimed to estimate middle school students'…
Descriptors: Comparative Analysis, Algorithms, Data Collection, Student Attitudes
Sauder, Adrienne E.; Gilson, Cindy M. – Gifted Child Quarterly, 2023
There is a growing body of literature around digital research, specifically regarding data collection and how to pivot research designs to be more conducive to online and virtual research, but little in the way of how to analyze data remotely. In this article, we share firsthand experiences from a qualitative study utilizing Google apps, Zoom, and…
Descriptors: Academically Gifted, Gifted Education, Qualitative Research, Data Collection
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Mettis, Kadri; Väljataga, Terje – International Journal of Mobile and Blended Learning, 2022
The aim of this study was to investigate how mobile outdoor learning supports the development of students' conceptual understanding about local socio-environmental problems and students' attitudes towards the learning activity. To explore these aspects, a study following a design-based research model was designed and conducted with 68 eighth-ninth…
Descriptors: Middle School Students, Outdoor Education, Environmental Education, Social Problems
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Oliveira, António; Ribeiro, Fabiana Silva; Ribeiro, Luísa Mota; McPherson, Gary; Oliveira-Silva, Patrícia – Music Education Research, 2021
Motivation is a crucial aspect of learning, particularly in the field of music. For decades, motivation for learning music has been a much-discussed subject, and yet its influence still remains a convoluted issue. This study systematically analyses peer-reviewed English language studies, according to PRISMA guidelines, in order to understand how…
Descriptors: Learning Motivation, Music Education, Musical Instruments, Educational Research
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Pearce, Erin; Brock, Jesse; Bunch, Phillis – Journal of Educational Research and Practice, 2022
Pre-service teachers (PSTs) often lack the self-efficacy necessary to effectively implement STEM education into their classrooms. Undergraduate research experiences (URE) can help fill this void by providing opportunities for PSTs to engage with STEM content and K-12 students in a field-based research context. This case study details the impact a…
Descriptors: Preservice Teachers, Student Attitudes, Self Efficacy, STEM Education
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Li, Xiaoyu; Xia, Jianping – Science Insights Education Frontiers, 2020
The rise of big data technology provides direction and support for the reform and development of education. Big data technology can realize the inventory management and effective dynamic monitoring of schools, students, and teachers. It is conducive to comprehensively and accurately controlling the development of teaching activities, injecting new…
Descriptors: Foreign Countries, Middle School Students, Data Analysis, Data Collection
La Salle, Tamika P. – Center on Positive Behavioral Interventions and Supports, 2020
The purpose of this brief is to provide information about how to evaluate school climate at the primary and secondary levels. Norms and ranges are provided and based on a national data; this data can help schools to contextualize local data. Information for interpreting the data and unit if for data-based decision making is also included.
Descriptors: School Surveys, Educational Environment, Student Surveys, Student Characteristics
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Levin, Nathan A. – Journal of Educational Data Mining, 2021
The Big Data for Education Spoke of the NSF Northeast Big Data Innovation Hub and ETS co-sponsored an educational data mining competition in which contestants were asked to predict efficient time use on the NAEP 8th grade mathematics computer-based assessment, based on the log file of a student's actions on a prior portion of the assessment. In…
Descriptors: Learning Analytics, Data Collection, Competition, Prediction
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Verlenden, Jorge; Naser, Shereen; Brown, Jeffrey – Journal of Applied School Psychology, 2021
Behavioral and social-emotional challenges experienced in childhood are risk factors for negative educational and health outcomes. Universal social-emotional screening in schools has been identified as an effective approach to identifying children at risk for mental health and behavioral challenges and is congruent with tiered frameworks for…
Descriptors: Screening Tests, Behavior Problems, Emotional Problems, At Risk Persons
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