Overview: This systematic review explores the utilization of artificial intelligence (AI) for assessment, grading, and feedback in higher education. The review aims to establish how AI technologies enhance efficiency, scalability, and personalized learning experiences in educational settings, while addressing associated challenges that arise due…

Prior work has developed a range of automated measures ("detectors") of student self-regulation and engagement from student log data. These measures have been successfully used to make discoveries about student learning. Here, we extend this line of research to an underexplored aspect of self-regulation: students' decisions about when to…

As artificial intelligence (AI) transforms workplaces, understanding how future graduates engage with AI technologies is crucial for enhancing employability. This study investigates higher education students' familiarity with and perceptions of generative artificial intelligence (GenAI) in their learning. Using the Technology Acceptance Model…

This essay extends beyond the characteristics and discourse of word problems to, more generally, school mathematical problem-solving and the implications entailed by a predominant paper-and-pencil mode of learning and instruction since the modern era of education. Contrasting what I call "one-handed" (with paper-and-pencil) with…

Aim/Purpose: Despite increasing access to technology, persistent disparities in digital competence and self-efficacy remain among marginalized pre-service teachers, often exacerbated by systemic inequities and the digital divide. This research explores the gap in knowledge of the lived experiences of marginalized pre-service teachers' (PST) prior…

Collaborative learning is a widely used teaching model in programming education. A deeper understanding of the roles and behavior patterns within collaborative learning could improve its performance. In this study, an emergent role configuration and behavioral pattern are analyzed using audio and video data from 10 groups in a 7th-grade…

The aim of this study was to determine the effect of Mobile AR (MAR) supported Flipped Learning Model (FLM) applications on the academic achievement of first year undergraduate students in General Chemistry Laboratory course and to investigate the students' views on MAR supported FLM. In the study carried out with a quasi-experimental design with…

Over the last decade, various provisions have been enshrined in law to encourage the implementation of Information and Communication Technology (ICT) and Comprehensive sexuality Education in Chilean schools. However, it is unknown whether appropriate steps have been taken to advance the right to sex and sexuality education, incorporating the use…

Transparency in high-stakes English language assessment has become crucial for ensuring fairness and maintaining assessment validity in language testing. However, our understanding of how transparency is conceptualised and implemented remains fragmented, particularly in relation to stakeholder experiences and technological innovations. This study…

In this paper, we report on a study involving third-year undergraduate mathematics students who were taking a course in Mathematics Education. The participants, prospective teachers, discussed typical misconceptions in mathematics. They first worked in Moodle environment communicating in small groups and with the whole class using Quick Chat…

This study incorporates a random forest (RF) approach to probe complex interactions and nonlinearity among predictors into an item response model with the goal of using a hybrid approach to outperform either an RF or explanatory item response model (EIRM) only in explaining item responses. In the specified model, called EIRM-RF, predicted values…

Artificial intelligence (AI) is evolving rapidly, transforming how people learn, work, and live on an unprecedented scale. Jobs for the Future (JFF) believes that AI has the potential to accelerate economic advancement for everyone--but only if it is intentionally designed to do so. As AI transforms society, this population-specific spotlight…

Without regulations for higher education institutions in the metaverse, ethical transgressions are unavoidable. Educational metaverse systems, which integrate artificial intelligence, essentially depend on big data as their core technology, leading to considerable privacy issues. Therefore, this study examines data privacy and security issues, a…

This study assesses and ascertains the relationship between university infrastructure and student satisfaction, emphasizing how facilities influence students' academic experiences and overall well-being. Using a convergent parallel mixed-methods approach, the research collected quantitative and qualitative data from over 1,600 students across 13…

In-service teachers, constrained by work commitments, adopt online learning methods for their graduate studies, emphasizing the significance of exploring the construction of online learning communities. Analyzing collaborative conversation texts within the online learning process of the "Learning Science" course at a university in…