New 3D Education Technology for Students with Delimited Ability

2016 ◽  
Author(s):  
Eva Pajorova ◽  
Ladislav Hluchy
Keyword(s):  
Education Technology

MODELING USING PHET SIMULATIONS IN TEACHING PHYSICS AT SECONDARY SCHOOL

2020 ◽  
Vol 11 (1) ◽  
pp. 199-203
Author(s):  
Hristina Petrova ◽  
Keyword(s):  
Secondary School ◽  
Group Work ◽  
Physics Education ◽  
Teaching And Learning ◽  
Education Technology ◽  
Cognitive Activity ◽  
Student Group ◽  
Knowledge And Skills ◽  
Demonstration Experiment ◽  
Teaching Physics

A particularly important aspect of learning physics is using models of physical objects, processes and phenomena. Modeling is an important component of learning and cognitive activity. This determines its importance for the formation and development of students’ knowledge and skills. The Physics Education Technology (PhET) project creates useful simulations for teaching and learning physics and makes them freely available on the PhET web site: http://phet.colorado.edu The simulations are interactive, animated and visual. Some ideas for their using in physics education are presented. They can be used in various of ways, including demonstration experiment as part of lecture, student group work or individual worksheets, homework assignments or labs. The possibility for using simulations in remote education is considered. Students are given interactive assignments. They include interactive problems in the form of computer simulation and questions related to it. The students work with data which they analyze and present tabular and graphically. This approach suggest activities based on enquiry. In result their motivation and interest in physics increases.

PEMBELAJARAN FISIKA MENGGUNAKAN PhET (PHYSICS EDUCATION TECHNOLOGY) SIMULATION PADA MATERI GAYA GRAVITASI NEWTON

2019 ◽  
Author(s):  
Ahmad Toni Pr ◽  
Muhammad Syarif Hidayat
Keyword(s):  
Physics Education ◽  
Education Technology

Penelitian ini bertujuan untuk (1) mengetahui dan menganalisi hubungan gaya gravitasi dengan massa benda dan jaraknya (2) mendeskripsikan kelayakan simulasi virtual PhET dalam pembelajaran SMA dengan materi gravitasi. Penelitain ini menggunakan methode Eksperimen melalui alat digital yaitu simulasi virtual PhET Colorado dengan materi gaya gravitasi Newton dan menggunakan method kajian pustaka. Hasil penelitain menunjukan bahwa (1) gaya gravitasi berbanding lurus dengan massa benda, dan berbanding terbalik dengan jarak kuadrat. (2) simulasi virtual PhET Colorado ini layak digunakan sebagai pembelajaran didalam kelas sebagai penganti praktikum pada materi gravitasi. Alasan kami memilih simulasi virtual menggunakan PhET Colorado karena praktikum untuk materi gravitasi memerlukan alat dan bahan yang cukup lumayan, kami mengantisipasinya dengan laboratorium virtual, karena setiap peserta didik pada abad 21, sudah menggunakan teknologi dan pemilihan PhET ini sangatlah mudah untuk diakses.

What are the risks of Virtual Reality data? Learning Analytics, Algorithmic Bias and a Fantasy of Perfect Data

2021 ◽  
pp. 146144482110127
Author(s):  
Marcus Carter ◽  
Ben Egliston
Keyword(s):  
Virtual Reality ◽  
Learning Process ◽  
Learning Analytics ◽  
Soft Skills ◽  
Education Technology ◽  
Skills Training ◽  
Emerging Technology ◽  
Critical Issues ◽  
Vr Training ◽  
Algorithmic Bias

Virtual reality (VR) is an emerging technology with the potential to extract significantly more data about learners and the learning process. In this article, we present an analysis of how VR education technology companies frame, use and analyse this data. We found both an expansion and acceleration of what data are being collected about learners and how these data are being mobilised in potentially discriminatory and problematic ways. Beyond providing evidence for how VR represents an intensification of the datafication of education, we discuss three interrelated critical issues that are specific to VR: the fantasy that VR data is ‘perfect’, the datafication of soft-skills training, and the commercialisation and commodification of VR data. In the context of the issues identified, we caution the unregulated and uncritical application of learning analytics to the data that are collected from VR training.

Sign in / Sign up

Export Citation Format

Share Document