This research explored teachers' readiness for teaching in times of uncertainty and in global crisis situations through the perspective of teacher agency. Understanding the mechanisms by which teachers exercise their transformative agency was the main research aim. Teacher agency is conceptualized as a phenomenon that emerges ecologically from the…

In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…

This study examines how secondary-school students recognize and relate to artificial intelligence (AI) and the meanings they attribute to it in their everyday lives. Using a quantitative, descriptive, cross-sectional design, we explore the subjectivities of a purposive sample of 576 students from both public and private schools. The analysis…

As Artificial Intelligence (AI) is rapidly integrated into existing technologies which has brought forth the fourth industrial and learning revolution, designing curriculum for AI education has become an important strategic development for education authorities throughout the world. Framed broadly from the Theory of Planned Behavior, this study…

COVID-19 forced a rapid migration to online education and many institutions will continue with some online education post-pandemic. Here, we examined digital capabilities, measuring abilities and confidence, which are critical for online learning. We also examined social identity and connectedness which may be impacted by online study and…

This study presents an ethnographic account of the learning design experiences of six Namibian teachers during school closures caused by the COVID-19 pandemic. The study explores the emotions, perspectives and actions of these teachers and also reveals the influence of personal, institutional and national culture on their learning design…

This book presents the first results from the third cycle of the IEA International Computer and Information Literacy Study (ICILS 2023). This study investigated how young people are prepared for life in a world where the capacity to use computers and digital information responsibly, safely, and effectively is essential. The study reports on data…

This research captured the views of secondary school students in relation to their use of digital technologies for learning, both now and in the future. Four groups of students participated in the production of hand-drawn concept maps, followed by focus group discussions. The ways in which students considered the use of computers for the purposes…

Everyday, technology in our life changes quickly. Every development made by humans in the field of technology affects the way of our life, and education is not an exception. We now have a variety of learning methods in addition to conventional, in-person instruction. This research was carried out in the "Computer for Low" (ITEC190) and…

The question of what drives learners to adopt and use certain technologies over others, generally referred to as technology acceptance in the literature, is of interest to educational technology researchers, to policymakers, and developers in educational institutions. Technology acceptance models can inform adoption and implementation decisions.…

The present study examined the relationship between novice learners' counterfactual thinking (i.e. generating "what if" and "if only" thoughts) about their initial training experience with a computer application and subsequent improvement in task performance. The role of anticipated emotions towards goal attainment in task…

Investigated were why some low income, predominantly immigrant seniors (n = 91) choose to enroll in free training and start to use computers and the Internet while others choose not to enroll. The study was conducted in collaboration with a senior center in downtown Los Angeles that provides free Internet access and training to its seniors. The…

Most computer users have to deal with major software upgrades every 6-18 months. Given the pressure of having to adjust so quickly and so often, it is reasonable to assume that users will express emotional reactions such as anger, desperation, anxiety, or relief during the learning process. To date, the primary emotion studied with respect to…

Relations between emotions (affect states) and learning have recently been explored in the context of AutoTutor. AutoTutor is a tutoring system on the Internet that helps learners construct answers to difficult questions by interacting with them in natural language. AutoTutor has an animated conversation agent and a dialog management facility that…

Describes an empirical study that examined the effects of computer use by children and adolescents for possible negative psycho-social effects. Results showed no indication of negative effects of working or playing with computers; data points toward certain positive effects of computer use. (Author/LS)