Publication Date
| In 2025 | 1 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 4 |
| Since 2016 (last 10 years) | 7 |
| Since 2006 (last 20 years) | 8 |
Descriptor
| Data Collection | 8 |
| Motion | 8 |
| Handheld Devices | 4 |
| Physics | 4 |
| College Science | 3 |
| Educational Research | 3 |
| Eye Movements | 3 |
| Foreign Countries | 3 |
| Models | 3 |
| STEM Education | 3 |
| Science Experiments | 3 |
| More ▼ | |
Source
| Physics Education | 3 |
| International Educational… | 2 |
| International Baltic… | 1 |
| Physics Teacher | 1 |
| TechTrends: Linking Research… | 1 |
Author
Publication Type
| Journal Articles | 5 |
| Collected Works - Proceedings | 3 |
| Reports - Descriptive | 3 |
| Reports - Research | 2 |
Education Level
| Higher Education | 8 |
| Postsecondary Education | 8 |
| Adult Education | 2 |
| Elementary Education | 2 |
| High Schools | 2 |
| Secondary Education | 2 |
| Early Childhood Education | 1 |
| Grade 4 | 1 |
| Grade 8 | 1 |
| Intermediate Grades | 1 |
| Junior High Schools | 1 |
| More ▼ | |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkSeHee Jung; Hanwen Wang; Bingyi Su; Lu Lu; Liwei Qing; Xiaolei Fang; Xu Xu – TechTrends: Linking Research and Practice to Improve Learning, 2025
This study presents a mobile application (app) that facilitates undergraduate students to learn data science using their own full-body motion data. The app captures a user's movements through the built-in camera of a mobile device and processes the images for data generation using BlazePose, an open-source computer vision model for real-time pose…
Descriptors: Undergraduate Students, Data Science, Handheld Devices, Open Source Technology
Forringer, Edward Russell – Physics Teacher, 2022
In a 1993 book review, E. Pearlstein asks, "Why don't textbook authors begin their discussion of magnetism by talking about magnets? That's what students have experience with." A similar question can be asked, "Why don't professors have students measure the force between permanent magnets in introductory physics labs?" The…
Descriptors: Science Education, Physics, Magnets, Measurement
Kaps, A.; Stallmach, F. – Physics Education, 2021
A digital learning-teaching environment is introduced in which undergraduate students are challenged to connect the basic physical concepts of oscillation, buoyancy and data analysis via an authentic experiment. The damped oscillation of a cylindrical body swimming upright in water is measured via the MEMS acceleration sensor of a wireless MCU…
Descriptors: Physics, College Science, Undergraduate Students, Science Experiments
Gallitto, Aurelio Agliolo; Battaglia, Onofrio Rosario; Fazio, Claudio – Physics Education, 2021
We describe an educational activity that can be done by using smartphones to collect data in physics experiments aimed to measure the oscillating period of a spring-mass system and the elastic constant of the helicoidal spring by the dynamic method. Results for the oscillating period and for the elastic constant of the spring agree very well with…
Descriptors: Science Instruction, Physics, Measurement Techniques, Telecommunications
Kraftmakher, Yaakov – Physics Education, 2013
Two computer-assisted experiments are described: (i) determination of the speed of ultrasound waves in water and (ii) measurement of the thermal expansion of an aluminum-based alloy. A new data-acquisition system developed by PASCO scientific is used. In both experiments, the "Keep" mode of recording data is employed: the data are…
Descriptors: Science Experiments, Computer Assisted Instruction, Motion, Acoustics
Download full textLamanauskas, Vincentas, Ed. – International Baltic Symposium on Science and Technology Education, 2019
These proceedings contain papers of the 3rd International Baltic Symposium on Science and Technology Education (BalticSTE2019) held in Šiauliai, Lithuania, June 17-19, 2019. This symposium was organized by the Scientific Methodical Center "Scientia Educologica" in cooperation with the Institute of Education, Šiauliai University. The…
Descriptors: Science Education, Technology Education, Formative Evaluation, Chemistry
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
