Many factors might influence the current place and the role of information and communication technologies (ICTs) in social quarters, including education. One such factor might become one's conceptions of technology. From this point of view, the purpose of this study is to examine preservice ICT teachers' technology metaphors by linking to concepts…

The aim of this study is threefold: (1) to present a valid and reliable scale in the framework of the Technology Acceptance Model; (2) to reveal factors affecting pre-service science teachers' intentions to use technology-based STEM; (3) to examine the effect of technology-based STEM education training on pre-service science teachers' perceived…

This study investigates the relationship between undergraduates' technological readiness, self-efficacy, attitude, and usage of artificial intelligence (AI) tools. The study leverages the technology acceptance model (TAM) to explore the relationships among the study's variables. The study's participants are 176 undergraduate students from a public…

The adoption of generative artificial intelligence (GAI) tools, such as ChatGPT, in higher education presents numerous opportunities and challenges. The use of GAI technologies in various fields, including education, has accelerated as technology develops. The widely used language model ChatGPT, developed by OpenAI, has become progressively more…

This study uses an experimental comparative design to accomplish two primary goals related teachers' perceptions of automated writing evaluation (AWE) performance. First, it quantitatively and qualitatively examines teachers' perceptions of the accuracy and trustworthiness of differentially performing AWE models. Second, it synthesizes interview…

The metaverse which is considered as the digital big bang of humanity and the next evolution of the internet is anticipated to offer a living environment for civilization 5.0 and beyond in various domains including education. Each novice technology that enters our daily lives generates also fear, anxiety, and problems as well as hope, benefit, and…

Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…

The great advantages of e-learning have been recognized, and efforts have been made to promote e-learning adoption. Despite valuable research achievements from technology adoption, previous studies built their models from different perspectives. In this study, to offer a comprehensive research model on e-learning adoption, we integrated these…

Technology acceptance has become one of the dominant research trends in the domain of learning management systems (LMSs). While a plethora of several research studies conducted in this area, there is still a scarcity of knowledge concerning a holistic review and taxonomy of studies in this field. Thus, the main objective of this systematic review…

This study investigated preschool children's opinions on educational robots using their robot drawings. The study group consisted of 64 five- and six-years old children in an independent kindergarden affiliated to the Ministry of National Education (MoNE) in Ankara province, Turkey and participated in the Preschool Robotics Coding Workshop within…

In spite of the proliferation of Massive Open Online Courses (MOOCs) in higher education, factors influencing user acceptance of MOOCs are not well understood. This study is intended to investigate key characteristics of user acceptance from interface design (i.e. usability), content quality (i.e. perceived quality), and emotional arousal (i.e.…

This study aimed to compare the effectiveness of the experiential learning cycle (ELC) and self-regulated learning (SRL), both implemented through a game-based approach (AI 2 Robot City board game), in fostering computational thinking (CT) and understanding of artificial intelligence (AI) applications in university level. The sample consisted of…

The purpose of this qualitative descriptive study was to understand how K-8 teachers in Nevada describe computational concepts, practices, and perspectives preparation in making them ready to teach computer science. Brennan and Resnick's computational thinking served as the theoretical framework for this study. Four research questions guided this…

The microscopic composition of substances is a piece of essential but abstract knowledge in chemistry. Junior high school students may experience difficulty in mental representation when learning micro concepts, which leads to problems such as unsatisfactory academic performance and low learning motivation. Augmented reality (AR) is an optimal…

Digital communication is a great facilitator of human connection, positively contributing to life satisfaction and prosocial behavior. However, the existing findings also insist on the drawbacks of the digital communication, as low levels of wellbeing satisfaction, or happiness. Thus, aiming to reconciliate the two sets of assumptions and relying…