Abstract This phenomenological study examines academicians’ beliefs and lived experiences of using tablet PC based on the Human-Computer Interaction (HCI) and Technology Acceptance Model (TAM). Participants included 15 academic staff […]
Abstract Teachers’ perceptions of the usefulness of digital games might be a reason for the limited application of digital games in education. However, participants in most studies of teaching with
Teacher perceptions of the value of game-based learning in secondary education Read More »
ABSTRACT Aim/Purpose This study describes and evaluates a teacher preparation program that combines a school-university partnership and a 1:1 device initiative. Background This educational design research report combines a 1:1
Abstract In this article, we argue that to study or apply games as learning environments, multiple perspectives have to be taken into account. We first define game-based learning and gamification
Foundations of Game-Based Learning Read More »
Abstract This paper combines the common ideas and methods in an offensive and defensive confrontation in recent years and uses artificial intelligence technology-based network asset automatic mining technology and artificial
Research on Network Attack and Defense Based on Artificial Intelligence Technology Read More »
Abstract: This paper conducts a critical analysis of Maryam Rajavi’s Ten-Point Plan for Iran, arguing that it is a deceptive ploy to whitewash the People’s Mujahedin Organization of Iran’s
Abstract Automatic image segmentation is an essential step for many medical image analysis applications, include computer-aided radiation therapy, disease diagnosis, and treatment effect evaluation. One of the major challenges for
High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation Read More »
Abstract Coronavirus (COVID-19) is a viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The spread of COVID-19 seems to have a detrimental effect on the global economy
ABSTRACT In this paper, we describe an automatic personalization approach aiming to provide online automatic recommendations for active learners without requiring explicit feedback. Recommended learning resources are computed based on
Abstract Can we detect electric discharge states in gases based on the information on visual images? This article proposes a new kind of method where we build several detection models
A Corona Recognition Method Based on Visible Light Color and Machine Learning Read More »
