It seems like there are new tech and social media tools coming out every day. So what’s out there? And how can these tools be used to enhance your work?
The ability for an educational game designer to understand their audience's play styles and resulting experience is an essential tool for improving their game's design. As a game is subjected to large-scale player testing, the designers require inexpensive, automated methods for categorizing patterns of player-game interactions. In this paper we present a simple, reusable process using best practices for data clustering, feasible for use within a small educational game studio.
The ability for an educational game designer to understand their audience's play styles and resulting experience is an essential tool for improving their game's design. In this paper we present a simple, reusable process using best practices for data clustering, feasible for use within a small educational game studio.
The ability for an educational game designer to understand their audience's play styles and resulting experience is an essential tool for improving their game's design. As a game is subjected to large-scale player testing, the designers require inexpensive, automated methods for categorizing patterns of player-game interactions. In this paper we present a simple, reusable process using best practices for data clustering, feasible for use within a small educational game studio.
The ability for an educational game designer to understand their audience's play styles and resulting experience is an essential tool for improving their game's design. In this paper we present a simple, reusable process using best practices for data clustering, feasible for use within a small educational game studio.
The ability for an educational game designer to understand their audience's play styles and resulting experience is an essential tool for improving their game's design. As a game is subjected to large-scale player testing, the designers require inexpensive, automated methods for categorizing patterns of player-game interactions. In this paper we present a simple, reusable process using best practices for data clustering, feasible for use within a small educational game studio.
The ability for an educational game designer to understand their audience's play styles and resulting experience is an essential tool for improving their game's design. In this paper we present a simple, reusable process using best practices for data clustering, feasible for use within a small educational game studio.
This book is a guide for K-12 school leaders and educators who are planning to implement new bilingual and dual language (BDL) elementary programs for multilingual learners in the United States, focusing on the integration of subject matter knowledge of STEAM (science, technology, engineering, art, and math) with biliteracy development goals, both in English and a partner language other than English (LOTE).
This is the project-created training course for new users to learn about the STEM-OP and how to use it.
This is the project-created training course for new users to learn about the STEM-OP and how to use it.
This is the project-created training course for new users to learn about the STEM-OP and how to use it.
This is the project-created training course for new users to learn about the STEM-OP and how to use it.
This is the project-created training course for new users to learn about the STEM-OP and how to use it.
This is the project-created training course for new users to learn about the STEM-OP and how to use it.
The real-time detection of when a player is struggling presents an opportunity for game designers to design timely and meaningful interventions, as well as to provide targeted support that improves student learning and engagement. In this paper, we present a struggle detector in the context of students playing the learning game, Wake: Tales from the Aqualab.
The real-time detection of when a player is struggling presents an opportunity for game designers to design timely and meaningful interventions, as well as to provide targeted support that improves student learning and engagement. In this paper, we present a struggle detector in the context of students playing the learning game, Wake: Tales from the Aqualab.
The real-time detection of when a player is struggling presents an opportunity for game designers to design timely and meaningful interventions, as well as to provide targeted support that improves student learning and engagement. In this paper, we present a struggle detector in the context of students playing the learning game, Wake: Tales from the Aqualab.
The real-time detection of when a player is struggling presents an opportunity for game designers to design timely and meaningful interventions, as well as to provide targeted support that improves student learning and engagement. In this paper, we present a struggle detector in the context of students playing the learning game, Wake: Tales from the Aqualab.
