Purpose: This study aims to report on an automatic deidentification system for labeling and obfuscating personally identifiable information (PII) in student-generated text. Design/methodology/approach: The authors evaluate the performance of their deidentification system on two data sets of student-generated text. Each data set was human-annotated…

Artificial intelligence (AI), utilizing machine learning techniques to 'learn' from data, as humans learn from experiences, has the promise to perform various cognitive tasks, such as learning, thinking, problem-solving, and decision-making, which usually demands human cognition. In recent decades, the remarkable advancements in AI have led to its…

Software powered by artificial intelligence (AI) is used widely in the United States in education as a tool for teaching, administration, student assessment, and other purposes. Curriculum delivery, tutoring, support for students with disabilities and resource allocations are some of the applications of the technology. The normative, ideological,…

Virtual reality (VR) is an innovative technology that is rapidly gaining popularity in and out of the classroom. With improvements in hardware and software technology and the push for one-to-one computing, teachers have access to innovative VR supports and resources. These innovative technologies have the potential to improve instruction for…

The purpose of this study was to examine the effects of an online multi-component intervention (video modeling, virtual manipulatives, digital games, self-monitoring and least to most prompting techniques) on the acquisition of several mathematical skills of two autistic elementary school students. We used a multiple probe design of a single-case…

Goals and policy related to artificial intelligence (AI) will focus on improving learning for each learner. State Education Agencies (SEAs) must determine how to begin the journey to this outcome. The steps in this report outline in depth the first steps SEAs can take to begin development of an AI-related vision and strategic objectives that will…

The rapid advancement of Generative Artificial Intelligence Technology has increasingly drawn attention to its potential applications in the educational sector. This study aims to investigate the effects of Situational Interactive Teaching, facilitated by generative artificial intelligence, on students' learning outcomes and flow experiences. A…

This study aims to assess the implementation of smart campus and the students' learning engagement at Zhongshan College, China. A well-structured questionnaire was developed, and information was collected from 277 students and 377 teachers. The results indicate that both groups of respondents highly agree on the construction levels of the smart…

This qualitative study explored teachers' use of technology to manage teaching and learning activities during COVID-19 in Nepalese higher education institutions. To this end, 11 teachers from three universities located in five provinces of Nepal were purposefully selected. Their experiences of using technological tools were explored through…

This study systematically reviews telecollaboration studies conducted between 2013 and 2023 in English language teacher education. This review scrutinized telecollaboration studies conducted in English language teacher education regarding their research focal points, study contexts, and the technological tools employed. The study also aimed to…

In this paper, a quantitative, descriptive, and correlational research is carried out on the perceptions of the digital competence of Latin American engineering professors, their assessment of the didactic use of Information and Communication Technologies (ICT) in different didactic areas (interaction, communication, distribution, and…

Artificial Intelligence (AI) has become a transformative force in education, significantly influencing students. This research explores AI's impact on learning experiences, academic performance, career guidance, motivation, self-reliance, social interaction, and AI dependency. Utilizing a descriptive-comparative design, 194 student respondents…

With the rise of computer-assisted online learning tools such as the "Language Reactor," advanced captioning options such as dual subtitles (i.e. simultaneous display of on-screen texts in the first language and the second/foreign language) have gained much attention. However, little is known about how dual-subtitled viewing may be…

The goal of the current study was to examine the perceptions of elementary school principals regarding the value of integrating digital games in teaching and learning and the steps they take to promote this initiative. The study was conducted using a qualitative-narrative methodology to analyze data retrieved through semi-structured in-depth…

This study aims to classify student profiles based on the type and frequency of Information and Communication Technologies (ICT) usage. Each profile exhibits homogeneous characteristics and heterogeneous characteristics compared to other groups. Additionally, the study investigates whether covariates at the school and student levels create…