The present study is related to the problem associated with student assessment with online examinations at higher educational institutes (HEIs). With the current COVID-19 outbreak, the majority of educational institutes are conducting online examinations to assess their students, where there would always be a chance that the students go for…

Recent advancements in Artificial Intelligence (AI), particularly AI chatbots like ChatGPT, have sparked significant discussions in higher education regarding their impact on teaching and academic integrity. This study examines the integration of ChatGPT into a philosophy of education course for first-year Education students at a Swedish…

ChatGPT has surprised academia with its remarkable abilities but also raised substantial concerns regarding academic integrity and misconduct. Despite the debate, empirical research exploring the issue is limited. The purpose of this study is to bridge this gap by analyzing Twitter data to understand how academia is perceiving ChatGPT. A total of…

Despite the growing interest in mindfulness in higher education, the literature on its relation to decision-making under risk (i.e. academic misconduct) and statistics anxiety is scarce. The present research shall fill this gap. Based on the prospect theory, we assessed the mediating effect of mindfulness on the relationship between statistics…

Contributions: An adoption framework to include generative artificial intelligence (GenAI) in the university curriculum. It identifies and highlights the role of different stakeholders (university management, students, staff, etc.) during the adoption process. It also proposes an objective approach based upon an evaluation matrix to assess the…

This study investigates the multifaceted impact of generative AI tools (e.g., ChatGPT, Gemini) on higher education. Employing grounded theory, we analyzed the experiences of eight students using these tools in their academic work. Our findings reveal both significant benefits, including enhanced learning, efficiency, and accessibility, and…

Drawing on the data from the Early Childhood Longitudinal Study, Kindergarten Class of 2010-11 (ECLS-K:2011), this paper used structural equation modeling to investigate the relations among emotional capital (behavioral engagement, school belonging, grit, peer social support, and life satisfaction), approaches to learning, and reading achievement…

This study explores factors influencing Nigerian Higher Education students to adopt ChatGPT in learning. Using the technology acceptance model (TAM), this research aims to identify the key factors influencing the behavioural intentions of Nigerian undergraduate students to adopt ChatGPT in their academic pursuits. This study's theoretical…

The emergence of ChatGPT, a Generative AI program, has sparked discussions about its teaching and learning value, and concerns about academic integrity in higher education (HE). An extant review of the literature indicates that a scarcity of research exists on GenAI, specifically a synthesis of the official views, guidelines and articles of…

In the realm of language acquisition, the integration of Artificial Intelligence (AI) presents a promising frontier. However, gaps exist in understanding the practical application of AI-driven tools, particularly in second language learning contexts. This study delves into the usability of ChatGPT, an advanced AI language model, within the domain…

This study aimed to understand how secondary mathematics teachers engage with learners during the teaching and learning process. A sample of six participants was purposively selected from a population of ordinary level mathematics teachers in one urban setting in Zimbabwe. Field notes from lesson observations and audio-taped teachers' narrations…

The study aimed to investigate the perceptions and practices of continuous assessment in government higher learning institutions in Ethiopia. A survey research design with both qualitative and quantitative approaches involving concurrent triangulation strategy was employed. The study period was from February 2020 and November 2020. A total of 354…

The widespread, theoretically-informed practice of curricula embedded academic language and learning development is generally acknowledged as the most productive method of improving tertiary student outcomes. University-wide comprehensive support, however, for the collaborative processes of interdisciplinary research, design, resource and staff…

The synaptic Ras/Rap-GTPase-activating protein (SynGAP1) plays a unique role in regulating specific downstream intracellular events in response to N-methyl-D-aspartate receptor (NMDAR) activation. Constitutive heterozygous loss of SynGAP1 disrupts NMDAR-mediated physiological and behavioral processes, but the disruptions might be of developmental…

This study is a snapshot of how Ontario universities are currently promoting academic integrity (AI) online. Rather than concentrating on policies, this paper uses a semiotic methodology to consider how the websites of Ontario's publicly funded universities present AI through language and image. The paper begins by surveying each website and…