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Jupri, Al; Drijvers, Paul – EURASIA Journal of Mathematics, Science & Technology Education, 2016
To investigate student difficulties in solving word problems in algebra, we carried out a teaching experiment involving 51 Indonesian students (12/13 year-old) who used a digital mathematics environment. The findings were backed up by an interview study, in which eighteen students (13/14 year-old) were involved. The perspective of mathematization,…
Descriptors: Foreign Countries, Grade 7, Algebra, Word Problems (Mathematics)
Morris, Bradley J.; Masnick, Amy M.; Baker, Katie; Junglen, Angela – International Journal of Science Education, 2015
A critical component of science and math education is reasoning with data. Science textbooks are instructional tools that provide opportunities for learning science content (e.g. facts about force and motion) and process skills (e.g. data recording) that support and augment reasoning with data. In addition, the construction and design of textbooks…
Descriptors: Middle Schools, Secondary School Science, Textbooks, Textbook Content
Geiser, Kristin; Fehrer, Kendra; Pyne, Jaymes; Gerstein, Amy; Harrison, Vicki; Joshi, Shashank – John W. Gardner Center for Youth and Their Communities, 2019
According to national indicators of adolescent health and well-being, mental health is one of the most significant health issues young people face. Since mental health is linked to other aspects of health and well-being, undiagnosed and untreated mental health conditions can negatively impact a young person's social-emotional health, academic…
Descriptors: Adolescents, Child Health, Well Being, Mental Health
Temkin, Deborah; Fulks, Emily – Child Trends, 2021
The COVID-19 pandemic has fundamentally changed the ways schools and other youth-serving agencies are operating. To prevent the continued spread of the virus, many schools and agencies have moved to virtual only or hybrid virtual/in-person activities. Along with adapting many other activities, schools and agencies' approaches to bullying…
Descriptors: Bullying, Prevention, Legislation, Board of Education Policy
Ching, Cynthia Carter; Stewart, Mary K.; Hagood, Danielle E.; Rashedi, Roxanne Naseem – IEEE Transactions on Learning Technologies, 2016
Extant literature has largely not examined how users critically engage with their physical activity monitors, as objective data sense-making is often deemed superior to users' subjective realities. Our research, however, examines how middle-school youth encounter the representation of their data, as it is converted and actionable in an online…
Descriptors: Physical Activity Level, Measurement, Electronic Equipment, Ethnography
Bush, Sarah B.; Karp, Karen S.; Albanese, Judy; Dillon, Fred – Mathematics Teaching in the Middle School, 2014
What better way to interest students in mathematics than using a Super Bowl® commercial? A Prudential® insurance commercial aired during the Super Bowl in 2013 was the impetus for this lesson (see it here on You-Tube™: http://www.youtube.com/ watch?v=IsNiKGMSHUQ). In the commercial, four hundred people were polled on "How Old Is the Oldest…
Descriptors: Mathematics Instruction, Secondary School Mathematics, Middle School Students, Grade 6
Schnell, Susanne – North American Chapter of the International Group for the Psychology of Mathematics Education, 2014
This paper contributes to the discourse in stochastic education of how young students deal with learning settings that allow a data-based approach to probability. By using the micro-structure of arguments by Toulmin (1958), it explores which arguments students use and which role they play in the learning process. The data stems from design…
Descriptors: Probability, Persuasive Discourse, Experiments, Inferences
Kurz, Alexander; Elliott, Stephen N.; Roach, Andrew T. – Remedial and Special Education, 2015
Response-to-intervention (RTI) systems posit that Tier 1 consists of high-quality general classroom instruction using evidence-based methods to address the needs of most students. However, data on the extent to which general education teachers provide such instruction are rarely collected. This missing instructional data problem may result in RTI…
Descriptors: Response to Intervention, Data, Data Collection, Special Education
Koomen, Michele Hollingsworth – Cultural Studies of Science Education, 2016
This case study reports on a student with special education needs in an inclusive seventh grade life science classroom using a framework of disability studies in education. Classroom data collected over 13 weeks consisted of qualitative (student and classroom observations, interviews, student work samples and video-taped classroom teaching and…
Descriptors: Inclusion, Science Education, Case Studies, Special Education
Werner, Linda; McDowell, Charlie; Denner, Jill – Journal of Educational Data Mining, 2013
Educational data mining can miss or misidentify key findings about student learning without a transparent process of analyzing the data. This paper describes the first steps in the process of using low-level logging data to understand how middle school students used Alice, an initial programming environment. We describe the steps that were…
Descriptors: Electronic Learning, Learning Processes, Educational Research, Data Collection
New York State Education Department, 2017
This technical report provides detailed information regarding the technical, statistical, and measurement attributes of the New York State Testing Program (NYSTP) for the Grades 3-8 English Language Arts (ELA) and Mathematics 2017 Operational Tests. This report includes information about test content and test development, item (i.e., individual…
Descriptors: English, Language Arts, Language Tests, Mathematics Tests
Ye, Cheng; Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2015
This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…
Descriptors: Learning Activities, Learning Processes, Data Collection, Student Behavior
Afterschool Alliance, 2014
The Afterschool Alliance, in partnership with MetLife Foundation, is proud to present the final issue brief in their latest series of four issue briefs examining critical issues facing middle school youth and the vital role afterschool programs play in addressing these issues. This brief explores afterschool and data utilization to improve…
Descriptors: After School Programs, Middle School Students, Academic Standards, Student Needs
Ziv Feldman – Mathematics Teaching in the Middle School, 2014
This article describes an exciting exploration-based activity in which students develop an alternative definition of factor that can help them solve problems like the one presented above. Students work in groups to collect data, analyze the data to make conjectures, and then spend a significant amount of time debating and justifying their…
Descriptors: Learning Activities, Active Learning, Problem Solving, Data Collection
Parker, Elizabeth Cassidy – Journal of Research in Music Education, 2016
The purpose of this intrinsic case study was to explore four midwestern choral teachers' experiences of creating and sustaining community within their public school choirs. Research questions included (1) how choral teachers describe their experiences of creating choral communities, (2) how the teacher-student relationship is experienced, and (3)…
Descriptors: Case Studies, Public Schools, Singing, Teaching Experience