The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations. With its high quality, it provides an exceptional value for students, academics and industry researchers.
International Conference on Digital Games and Game-Based Learning aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Digital Games and Game-Based Learning. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Digital Games and Game-Based Learning.
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Digital Games and Game-Based Learning are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.
Guidelines for Authors
Please ensure your submission meets the conference’s strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.
Please refer to the Paper Submission Guideline, Abstract Submission Guideline and Author Information before submitting your paper.
All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.
Special Journal Issues
17. International Conference on Digital Games and Game-Based Learning has teamed up with the Special Journal Issue on Digital Games and Game-Based Learning. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.
- Dental Students’ Attitude towards Problem-Based Learning before and after Implementing 3D Electronic Dental Models
Hai Ming Wong, Kuen Wai Ma, Lavender Yu Xin Yang, Yanqi Yang
- Analyzing the Relationship between the Systems Decisions Process and Artificial Intelligence: A Machine Vision Case Study
Mitchell J. McHugh, John J. Case
- Combining the Deep Neural Network with the K-Means for Traffic Accident Prediction
Celso L. Fernando, Toshio Yoshii, Takahiro Tsubota
- Augmenting People’s Creative Idea Generation Using an Artificial Intelligent Sketching Collaborator
Joseph Maloba Makokha
- Ensemble Approach for Predicting Student’s Academic Performance
L. A. Muhammad, M. S. Argungu
- Deep-Learning Based Approach to Facial Emotion Recognition Through Convolutional Neural Network
Nouha Khediri, Mohammed Ben Ammar, Monji Kherallah
- A Machine Learning-based Analysis of Autism Prevalence Rates across US States against Multiple Potential Explanatory Variables
Ronit Chakraborty, Sugata Banerji
- A Case Study in Using the Can-Sized Satellite Platforms for Interdisciplinary Problem-Based Learning in Aeronautical and Electronic Engineering
Michael Johnson, Vincenzo Oliveri
- Improving Learning Abilities and Inclusion through Movement: The Movi-Mente© Method
Ivan Traina, Luigi Sangalli, Fabio Tognon, Angelo Lascioli
- Resilient Machine Learning in the Nuclear Industry: Crack Detection as a Case Study
Anita Khadka, Gregory Epiphaniou, Carsten Maple
- Using Machine Learning Techniques for Autism Spectrum Disorder Analysis and Detection in Children
Norah Alshahrani, Abdulaziz Almaleh
- Basic Science Medical Students’ Perception of a Formative Peer Assessment Model for Reinforcing the Learning of Physical Examination Skills During the COVID-19 Pandemic Online Learning Period
Neilal A. Isaac, Madison Edwards, Kirthana Sugunathevan, Mohan Kumar
- Personalized Email Marketing Strategy: A Reinforcement Learning Approach
Lei Zhang, Tingting Xu, Jun He, Zhenyu Yan, Roger Brooks
- Toward Understanding and Testing Deep Learning Information Flow in Deep Learning-Based Android Apps
Jie Zhang, Qianyu Guo, Tieyi Zhang, Zhiyong Feng, Xiaohong Li
- Distributed System Computing Resource Scheduling Algorithm Based on Deep Reinforcement Learning
Yitao Lei, Xingxiang Zhai, Burra Venkata Durga Kumar
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