Ryan Hare
Biographic Data
| ID | 9260474 |
|---|---|
| NAME | Ryan Hare |
| GIVEN NAMES | Ryan |
| FAMILY NAME | Hare |
| SIGNATURE | HARE R |
| AFFILIATIONS | Rowan University |
| ORCID | 0000-0003-3318-2034 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Enhancing student experience and learning with iterative design in an intelligent educational game
With increasing interest in computer‐assisted educa‐ tion, AI‐integrated systems become highly applicable with their ability to adapt based on user interactions. In this context, this paper focuses on understanding and analysing first‐year undergraduate student responses to an intelligent educational system that applies multi‐agent reinforcement learning as an AI tutor. With human–computer interaction at the centre, we discuss principles of inter…
An Intelligent Serious Game for Digital Logic Education to Enhance Student Learning
Contribution: A general-purpose model for integrating an intelligent tutoring system within a serious game for use in higher education. Additionally, this article also offers discussions of proper serious game design informed by in-classroom observations and student responses. Background: Personalized learning in higher education has become a key issue when working to improve student performance. By combining an intelligent tutoring system within…
Player Modeling and Adaptation Methods Within Adaptive Serious Games
Serious games (SGs) have emerged in recent years as a key method to augment education and training. SGs allow players to experience new concepts while exploring engaging virtual environments. To further extend the educational merit of SGs, adaptive SGs integrate games with adaptive systems to provide a more supportive education. Typically, these adaptive systems either focus on assisting or engaging the player, or on providing a more human-like t…
A Learning-Embedded Attributed Petri Net to Optimize Student Learning in a Serious Game
Serious games (SGs) are a practice of growing importance due to their high potential as an educational tool for augmented learning. However, little effort has been devoted to address student learning optimization in an SG from a systematic point of view. This article tackles this challenge by developing a learning-embedded attribute Petri net (LAPN) model to represent game flow and student learning decision-makings. The dynamics of learner behavi…
A Personalized Learning System for Parallel Intelligent Education
Technological advancement has given education a new definition-parallel intelligent education-resulting in fundamentally new ways of teaching and learning. This article exemplifies an important component of parallel intelligent education-artificial education system in a narrative game environment to offer personalized learning. The system collects data on the player's actions while they play, assessing their concept knowledge via k-nearest-neighb…
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A Personalized Learning System for Parallel Intelligent Education
Technological advancement has given education a new definition-parallel intelligent education-resulting in fundamentally new ways of teaching and learning. This article exemplifies an important component of parallel intelligent education-artificial education system in a narrative game environment to offer personalized learning. The system collects data on the player's actions while they play, assessing their concept knowledge via k-nearest-neighb…
Player Modeling and Adaptation Methods Within Adaptive Serious Games
Serious games (SGs) have emerged in recent years as a key method to augment education and training. SGs allow players to experience new concepts while exploring engaging virtual environments. To further extend the educational merit of SGs, adaptive SGs integrate games with adaptive systems to provide a more supportive education. Typically, these adaptive systems either focus on assisting or engaging the player, or on providing a more human-like t…
A Learning-Embedded Attributed Petri Net to Optimize Student Learning in a Serious Game
Serious games (SGs) are a practice of growing importance due to their high potential as an educational tool for augmented learning. However, little effort has been devoted to address student learning optimization in an SG from a systematic point of view. This article tackles this challenge by developing a learning-embedded attribute Petri net (LAPN) model to represent game flow and student learning decision-makings. The dynamics of learner behavi…
An Intelligent Serious Game for Digital Logic Education to Enhance Student Learning
Contribution: A general-purpose model for integrating an intelligent tutoring system within a serious game for use in higher education. Additionally, this article also offers discussions of proper serious game design informed by in-classroom observations and student responses. Background: Personalized learning in higher education has become a key issue when working to improve student performance. By combining an intelligent tutoring system within…
Enhancing student experience and learning with iterative design in an intelligent educational game
With increasing interest in computer‐assisted educa‐ tion, AI‐integrated systems become highly applicable with their ability to adapt based on user interactions. In this context, this paper focuses on understanding and analysing first‐year undergraduate student responses to an intelligent educational system that applies multi‐agent reinforcement learning as an AI tutor. With human–computer interaction at the centre, we discuss principles of inter…
Computer Science (5 works) · Educational Games and Gamification (4 works) · Human–computer interaction (3 works) · Intelligent Tutoring Systems and Adaptive Learning (3 works) · Mathematics education (3 works) · Multimedia (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Artificial Intelligence in Games (2 works) · Educational game (2 works)