Generative Artificial Intelligence (GenAI) is a transformative technology in education, especially in lesson planning (LP). This research examines pre-service teachers' (PSTs) perceptions of GenAI benefits and ethical risks in LP, with consideration for the Technology Acceptance Model (TAM). The findings show that PSTs are generally cognizant of…

This paper quantifies learning losses between 2020 and 2022 in the Dominican Republic, an upper-middle-income country. The paper uses data from a sample of ninth-grade students who benefited from computer adaptive learning software during this period. This study is among a few to measure actual losses among secondary school students, and it is the…

Although e-learning is considered one of the leading teaching methods in higher education, both learners and instructors face significant challenges owing to reduced social interaction compared with traditional classroom learning. In this study, we explore the leveraging of recent developments in generative artificial intelligence (AI) and create…

Background: Online learning is becoming increasingly popular among learners. To enhance the effectiveness of online learning, researchers have embedded an affective pedagogical agent (PA) on the computer screen to help regulate learners' emotions and support their learning. However, previous research has paid little attention to the effects of…

This conceptual study explores and proposes strategies for enhancing security and academic integrity within the Open and Distance e-learning (ODeL) context, adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocols. As higher education continues to evolve, the reliance on online assessments has become more…

The current study investigated the impact of AI-mediated interaction on L2 learners' oral speaking ability, summarizing ability, and perceptions. Participants were EFL university students from South Korea who were randomly assigned to one of three groups: aiSPEAK, aiSUM, and control. The two experimental groups, aiSPEAK and aiSUM, engaged in…

This study examines the impact of metacognitive prompts on electrical engineering students' learning behavior during problem-solving in a computer-based learning environment. This research study uses Epistemic Network Analysis (ENA) to investigate behavioral differences between students who received metacognitive prompts and those who solved…

Purpose: This study investigates the relationships between distributed leadership, innovative work behavior (IWB), and teachers' perceptions of artificial intelligence (AI) implementation in Ghanaian schools. Specifically, it explores the direct and indirect effects of distributed leadership on teachers' perceptions of AI, with IWB acting as a…

This paper examines mobile cyberloafing, i.e. the use of phones for non-study purposes among Gen Z students, the first generation of digital natives. Drawing from research on misbehaviour and cyberloafing, we developed and tested a model with moral disengagement and subjective norms as predictors and psychological detachment and cognitive…

Lissajous figures are parametric equations that deconstruct into equations of simple harmonic motion. They were a source of inspiration by artists and mathematicians alike, well before the digital age, due to their esthetic forms and simple equations that could be easily deconstructed. Here for the first time in literature, we present Lissajous…

Explicable AI in education (XAIED) has been proposed as a way to improve trust and ethical practice in algorithmic education. Based on a critical review of the literature, this paper argues that XAI should be understood as part of a wider socio-technical turn in AI. The socio-technical perspective indicates that explicability is a relative term.…

Previously defined profiles for using a computer algebra system (CAS) describe prototypical uses of such a tool. When students use a dynamic geometry environment (DGE), however, new opportunities arise for transitions within and beyond the DGE. In this article, CAS profiles are used to explore students' uses of a DGE. Four cases of students, all…

The research examined the spread of internet addiction among tertiary institution students in Osun State and examine the connection between social anxiety and internet addiction. The research used descriptive survey research methodology. A sample of 1,430 students were picked to be involved in the research using multistage sampling methodology.…

Using a convergent parallel mixed methods design, the present study examined children's screen time and social behaviors through parents' perceptions. The participants were 113 children and their parents for the quantitative strand and 42 randomly selected parents for the qualitative strand of the study. Parents reported on children's social…

This article addresses the considerations on what they term "digitally supported elementary disciplinary literacy" in elementary grade (K-5) instruction. In doing so, the authors focus on the particularities of elementary instruction and what disciplinary literacy might look like in those grade levels, with a particular emphasis on…