The aim of this study is to reveal the bibliometric profile of articles published in the field of science education and technology. In the study, in which descriptive research model was used, bibliometric analysis method was preferred in order to reveal and examine the research trends of scientific publications on science education and technology.…

Metacognition refers to the capacity to comprehend and manage one's own cognitive processes, enabling the recognition of biases and presumptions that might influence them. Numerous published studies indicate that through metacognition, enhancements in critical-thinking skills allow individuals to query information, assess data, and make more…

The heterogeneous data acquired by educational institutes about students' careers (e.g., performance scores, course preferences, attendance record, demographics, etc.) has been a source of investigation for Educational Data Mining (EDM) researchers for over two decades. EDM researchers have primarily focused on course-specific data analyses of…

This study aims to conduct a comparative study of Bagging and Boosting algorithms among ensemble methods and to compare the classification performance of TreeNet and Random Forest methods using these algorithms on the data extracted from ABIDE application in education. The main factor in choosing them for analyses is that they are Ensemble methods…

Practical work involving laboratory experiments is agreed upon to be an essential component of secondary science education. Practical work encompasses a broad range of activity types. The different forms of practical work are not equal in terms of cognitive demand and learning benefit. Inquiry-based investigations provide experience of cognitive…

This mixed methods research study examined the reading motivation and retrieval practice ability of U. S. undergraduates aged 18 to 23, as well as the correlations between the two variables, with a focus on gender, year as an undergraduate, and race/ethnicity. A random national sample of 90 undergraduates and an additional minority sample of 17…

Relying on the nation's first judicial big data research base for people's courts in Southeast University, Southeast University Law School has set up a training direction for graduate students in legal big data and artificial intelligence, and explored the "three-dimensional, small-scale, wide-ranging, and large-scale ecology." The…

Education is constantly evolving as a field that shapes the future of societies, so identifying the key topics and prominent studies of educational research in 2023 will help move in the right direction. This study aims to identify the most important and current topics in the field of education through a bibliometric analysis of articles published…

This study offers an analysis and comparison of search results from Google concerning the topic of Artificial Intelligence (AI) in two geographically and politically different contexts: the United States and Italy. As new AI systems, tools, and solutions are developed and implemented in each sector of human life on a global scale, certain…

This paper is a systematic review of empirical research on "tourism problems and entrepreneurship development" in the context of Vietnam. Its significance and urgency rest upon a prolonged and immense decline in Vietnam's tourism revenue due to COVID-19 pandemic restrictions and its stagnation of tourism recovery. The systematic review…

It is difficult to monitor whether information was originally retrieved internally, from our own memory, or externally, from another person or a device. We report two experiments that examined whether people were more likely to confuse prior access to information on a smartphone with accessing their own knowledge. Participants were experimentally…

Assistive technologies can in many ways facilitate the normal day-to-day lives of the disabled. As part of the ongoing research on assistive technologies at UTAS, Oman, that deals with augmenting and finding multimodal aspects of applications for the disabled, this paper aspires to investigate the role of deep learning in the field of image…

Purpose: The purpose of the study is to build predictive models for early detection of low-performing students and examine the factors that influence massive open online courses students' performance. Design/methodology/approach: For the first step, the author performed exploratory data analysis to analyze the dataset. The process was then…

Purpose: This study aims to contribute to literature on mobile learning (m-learning) by proposing four research clusters whereby scholars can expand m-learning research to facilitate effective learning experiences for students. Design/methodology/approach: This study reviews student-centric literature on m-learning since 2010 and presents insights…

Reinstating the olfactory learning context can increase access to memory information, but it is not fully clear which memory functions are subject to an enhancing odor context reinstatement effect. Here, we tested whether congruent odor context during encoding and recall positively affected declarative and nondeclarative memory scores using a…