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Luiz Rodrigues; Filipe Dwan Pereira; Marcelo Marinho; Valmir Macario; Ig Ibert Bittencourt; Seiji Isotani; Diego Dermeval; Rafael Mello – Education and Information Technologies, 2024
Intelligent Tutoring Systems (ITS) have been widely used to enhance math learning, wherein teacher's involvement is prominent to achieve their full potential. Usually, ITSs depend on direct interaction between the students and a computer. Recently, researchers started exploring handwritten input (e.g., from paper sheets) aiming to provide…
Descriptors: Intelligent Tutoring Systems, Handwriting, Equal Education, Access to Education
Chance, Beth; Reynolds, Shea – Journal of Statistics Education, 2019
Through a series of explorations, this article will demonstrate how the Kentucky Derby winning times dataset provides various opportunities for introductory and advanced topics, from data processing to model building. Although the final goal may be a prediction interval, the dataset is rich enough for it to appear in several places in an…
Descriptors: Prediction, Statistics, Data Processing, Homework
Avci, Esat; Coskuntuncel, Orkun – Pegem Journal of Education and Instruction, 2019
The purpose of this research is to examine the views of middle school mathematics teachers about the usability of VUstat and TinkerPlots software in data processing learning in the Curriculum of Mathematics Teaching in Middle School (5th, 6th, 7th and 8th grades). In the study, the phenomenology design from qualitative research patterns was…
Descriptors: Middle School Teachers, Mathematics Teachers, Teacher Attitudes, Computer Uses in Education
Selent, Douglas; Patikorn, Thanaporn; Heffernan, Neil – Grantee Submission, 2016
In this paper, we present a dataset consisting of data generated from 22 previously and currently running randomized controlled experiments inside the ASSISTments online learning platform. This dataset provides data mining opportunities for researchers to analyze ASSISTments data in a convenient format across multiple experiments at the same time.…
Descriptors: Intelligent Tutoring Systems, Data, Randomized Controlled Trials, Electronic Learning
Stapel, Martin; Zheng, Zhilin; Pinkwart, Niels – International Educational Data Mining Society, 2016
The number of e-learning platforms and blended learning environments is continuously increasing and has sparked a lot of research around improvements of educational processes. Here, the ability to accurately predict student performance plays a vital role. Previous studies commonly focused on the construction of predictors tailored to a formal…
Descriptors: Teaching Methods, Academic Achievement, Electronic Learning, Mathematics Instruction
Koparan, Timur – International Journal of Mathematical Education in Science and Technology, 2015
The purpose of this study is to define teacher views about the difficulties in learning and teaching middle school statistics subjects. To serve this aim, a number of interviews were conducted with 10 middle school maths teachers in 2011-2012 school year in the province of Trabzon. Of the qualitative descriptive research methods, the…
Descriptors: Statistics, Teaching Methods, Barriers, Learning Problems
Blagdanic, Casandra; Chinnappan, Mohan – Australian Mathematics Teacher, 2013
Numeracy in schools is becoming an increasingly important part of mathematics learning and teaching. This is because educators want students to engage with mathematical concepts more deeply, use mathematics to make sense of their environment and make decisions that are based on the analysis of mathematical information. In order to be numerate,…
Descriptors: Statistical Analysis, Statistics, Data Interpretation, Numeracy
Lehman, Jeffrey; Christmann, Edwin – New Mexico Middle School Journal, 1999
Mathematics curriculum for students in grades 5 through 8 should include explorations of statistics in real world situations. Provides a sample data-exploration activity. (ASK)
Descriptors: Data Processing, Mathematics Activities, Mathematics Curriculum, Mathematics Instruction
Peer reviewedNordmoe, Eric – Teaching Statistics, 1998
Presents an outdoor activity requiring students to collect data and suggests some possible applications of the data. (ASK)
Descriptors: Data Collection, Data Processing, Mathematics Activities, Mathematics Instruction
Guengerich, Susan – Illinois Mathematics Teacher, 1998
Presents an activity in which students study statistical concepts using data from Super Bowl games. (ASK)
Descriptors: Data Processing, Elementary Secondary Education, Football, Mathematics Activities
Peer reviewedCox, Pam; Bridges, Linda – Mathematics Teacher, 1999
Provides a cooperative-learning activity in which students calculate the horsepower of an individual by collecting and analyzing data. (ASK)
Descriptors: Algebra, Data Processing, Group Activities, Mathematics Instruction
Peer reviewedOleson, Vicki L. – Teaching Children Mathematics, 1998
Presents an activity to integrate literature into the mathematics curriculum that is an interesting springboard to problem solving, an opportunity to research famous mathematicians, and a vehicle to enhance the understanding of mathematics concepts. (ASK)
Descriptors: Data Processing, Elementary Education, Integrated Activities, Literature
Lamon, William – Journal of Educational Data Processing, 1971
Descriptors: Computer Assisted Instruction, Computer Science, Data Processing, Mathematics Instruction
Peer reviewedRubink, William L.; Taube, Sylvia R. – Mathematics Teaching in the Middle School, 1999
Describes a field-tested interdisciplinary unit activity that involves collecting data on honeybees. Students gain hands-on experience with collecting, transforming, and analyzing data in this activity by using actual techniques employed by entomologists, the scientists who study insects. (ASK)
Descriptors: Data Processing, Entomology, Insects, Integrated Activities
Peer reviewedStrutchens, Marilyn E. – Mathematics Teaching in the Middle School, 1999
Presents an activity using national achievement data to involve students in a project on data collection and statistics while learning about their attitudes toward and beliefs about mathematics. This activity presents a good opportunity to talk about various interpretations of data and allows students to examine and discuss their attitudes about…
Descriptors: Data Interpretation, Data Processing, Mathematics Activities, Mathematics Instruction

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