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Silvia Heubach; Tuyetdong Phan-Yamada – Journal of Statistics and Data Science Education, 2025
We describe a hands-on project in which students collect data on the impact of distracted driving on driver reaction time. Initially they do this in class via a virtual driving applet, using themselves and fellow students as test subjects. Different applet versions simulate driving with and without distraction and measure the time it takes to…
Descriptors: Statistics, Relevance (Education), Student Projects, Experiential Learning
Yelamarthi, Kumar – Journal of STEM Education: Innovations and Research, 2016
Many interesting research and design questions occur at the intersections of traditional disciplines, yet most coursework and research programs for undergraduate engineering students are focused on one discipline. This leads to underutilization of the potential in better preparing students through multidisciplinary projects. Identifying this…
Descriptors: STEM Education, Robotics, Engineering Education, Technology Education
Thompson, Sydney; Cross, William; Rigling, Lillian; Vickery, John – Journal of Access Services, 2017
The North Carolina State University Libraries has long recognized the financial burden textbook costs place on students. By crosswalking information on use of our textbook collection with textbook cost and course enrollment data, we have begun to map the environment for textbook use at the university and identified opportunities for faculty…
Descriptors: College Libraries, Textbooks, Use Studies, Library Services
Quinn, Anne – Mathematics Teacher, 2016
While looking for an inexpensive technology package to help students in statistics classes, the author found StatKey, a free Web-based app. Not only is StatKey useful for students' year-end projects, but it is also valuable for helping students learn fundamental content such as the central limit theorem. Using StatKey, students can engage in…
Descriptors: Statistics, Computer Oriented Programs, Technology Uses in Education, Teaching Methods
Janning, Ruth; Schatten, Carlotta; Schmidt-Thieme, Lars – International Journal of Artificial Intelligence in Education, 2016
Recognising students' emotion, affect or cognition is a relatively young field and still a challenging task in the area of intelligent tutoring systems. There are several ways to use the output of these recognition tasks within the system. The approach most often mentioned in the literature is using it for giving feedback to the students. The…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Technology Uses in Education, Educational Technology
Macfadyen, Leah P. – Educational Technology, 2017
Learning technologies are now commonplace in education, and generate large volumes of educational data. Scholars have argued that analytics can and should be employed to optimize learning and learning environments. This article explores what is really meant by "analytics", describes the current best-known examples of institutional…
Descriptors: Educational Research, Barriers, Higher Education, Pragmatics
Quinn, Anne; Larson, Karen – Mathematics Teacher, 2016
Consistent with the Common Core State Standards for Mathematics (CCSSI 2010), the authors write that they have asked students to do statistics projects with real data. To obtain real data, their students use the free Web-based app, Census at School, created by the American Statistical Association (ASA) to help promote civic awareness among school…
Descriptors: Statistical Analysis, Technology Uses in Education, Mathematics Instruction, Statistics
Reid, Josh; Carmichael, Colin – Australian Primary Mathematics Classroom, 2015
Josh Reid and Colin Carmichael describe how some Year 6 children have developed their understanding of mathematics by studying Asian countries. The statistical analyses undertaken by these children appears to have strengthened their understanding of statistical concepts and at the same time provided them with tools for understanding complex…
Descriptors: Mathematics Instruction, Teaching Methods, Statistical Analysis, Cultural Influences
Sarsa, Javier; Escudero, Tomás – Electronic Journal of e-Learning, 2016
E-learning research is plenty of difficulties, as also research in education is. Usually, the high number of features involved in e-learning processes complicates and masks the identification and isolation of the factors which cause the expected benefits, when they exist. At the same time, a bunch of threats are ready to weaken the validity of the…
Descriptors: Electronic Learning, Research Design, Educational Technology, Instructional Effectiveness
Case, Catherine; Whitaker, Douglas – Mathematics Teacher, 2016
In the criminal justice system, defendants accused of a crime are presumed innocent until proven guilty. Statistical inference in any context is built on an analogous principle: The null hypothesis--often a hypothesis of "no difference" or "no effect"--is presumed true unless there is sufficient evidence against it. In this…
Descriptors: Mathematics Instruction, Technology Uses in Education, Educational Technology, Statistical Inference
Ruiz-Iniesta, Almudena; Jiménez-Díaz, Guillermo; Gómez-Albarrán, Mercedes – IEEE Transactions on Education, 2014
This paper describes a knowledge-based strategy for recommending educational resources-worked problems, exercises, quiz questions, and lecture notes-to learners in the first two courses in the introductory sequence of a computer science major (CS1 and CS2). The goal of the recommendation strategy is to provide support for personalized access to…
Descriptors: Semantics, Computer Science Education, Dropout Rate, Educational Resources
Levi, Inessa; Chahine, Iman; Garrett, Lauretta; Wang, Haifeng – Journal of Computers in Mathematics and Science Teaching, 2016
Difficulties in general education mathematics courses may be attributed to many factors, primarily low proficiency in symbol manipulation, a perception that mathematics is an area which eludes mastery, a lack of engagement and effective practice. Educational technology can be a powerful aid in overcoming these factors. This work describes the…
Descriptors: Mathematics Education, Active Learning, General Education, Homework
Marley, Kathryn A. – Journal of Education for Business, 2014
Developing exercises that lead students to use higher order thinking skills is a challenge for faculty in any discipline. An excellent way to approach this problem is to use the Revised Bloom's Taxonomy as a guide. In the taxonomy, the highest level of learning is to create. The author describes an assignment that builds on the use of…
Descriptors: Undergraduate Students, Business Administration Education, Thinking Skills, Teaching Methods
Pedersen, Mads Kock; Skyum, Birk; Heck, Robert; Müller, Romain; Bason, Mark; Lieberoth, Andreas; Sherson, Jacob F. – Physical Review Physics Education Research, 2016
A virtual learning environment can engage university students in the learning process in ways that the traditional lectures and lab formats cannot. We present our virtual learning environment "StudentResearcher," which incorporates simulations, multiple-choice quizzes, video lectures, and gamification into a learning path for quantum…
Descriptors: Simulated Environment, Educational Technology, Technology Uses in Education, Quantum Mechanics
Strayer, Jeremy F. – Mathematics Teacher, 2013
Statistical studies are referenced in the news every day, so frequently that people are sometimes skeptical of reported results. Often, no matter how large a sample size researchers use in their studies, people believe that the sample size is too small to make broad generalizations. The tasks presented in this article use simulations of repeated…
Descriptors: Sampling, Sample Size, Research Methodology, Statistical Analysis
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