Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Data Use | 3 |
| Academic Achievement | 1 |
| Curriculum Design | 1 |
| Data Analysis | 1 |
| Data Collection | 1 |
| Decision Making | 1 |
| Design | 1 |
| Dropout Rate | 1 |
| Educational Games | 1 |
| Educational Technology | 1 |
| Evaluation Methods | 1 |
| More ▼ | |
Source
| Technology, Knowledge and… | 3 |
Author
| Alturki, Sarah | 1 |
| Eduardo Ogasawara | 1 |
| Flávio Marques | 1 |
| Hulpu?, Ioana | 1 |
| Joel dos Santos | 1 |
| João Quadros | 1 |
| Leonardo Lignani | 1 |
| Merijke Coenraad | 1 |
| Myrna Amorim | 1 |
| Stuckenschmidt, Heiner | 1 |
| Windson Viana | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Descriptive | 3 |
| Information Analyses | 1 |
Education Level
Audience
| Researchers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Merijke Coenraad – Technology, Knowledge and Learning, 2025
As youth use internet-connected devices, their data is collected and stored. Yet, many youth are not aware of or have misconceptions about this data collection and use. Using data from co-design sessions, this paper presents how youth and teachers perceive online data collection and use, the topics and instructional priorities they value when…
Descriptors: Data Collection, Data Use, Internet, Youth
Flávio Marques; Leonardo Lignani; João Quadros; Myrna Amorim; Windson Viana; Eduardo Ogasawara; Joel dos Santos – Technology, Knowledge and Learning, 2025
Educational games help reinforce educational concepts. They help students learn through hypothesizing, probing, and reflecting upon the game environment. Understanding the impact of a game is important before deploying it in a class. Recent studies in learning analysis describe methodologies and approaches for analyzing educational games. However,…
Descriptors: Design, Educational Games, Reinforcement, Game Based Learning
Alturki, Sarah; Hulpu?, Ioana; Stuckenschmidt, Heiner – Technology, Knowledge and Learning, 2022
The tremendous growth of educational institutions' electronic data provides the opportunity to extract information that can be used to predict students' overall success, predict students' dropout rate, evaluate the performance of teachers and instructors, improve the learning material according to students' needs, and much more. This paper aims to…
Descriptors: Grade Prediction, Academic Achievement, Data Use, Dropout Rate

Peer reviewed
Direct link
