This study explores the intersection of Joseph Schumpeter's Innovation Theory and the integration of Artificial Intelligence (AI) in higher education, specifically focusing on disruptive and incremental innovation, institutional transformation, and strategic policy adaptation. AI can potentially reshape pedagogical models, administrative…

We investigated the similarities and differences in understanding among UK-based university staff and students regarding AI literacy, in terms of competent and ethical use of AI tools. This study builds on existing research revealing both wide use of AI tools in higher education, but also a lack of shared understanding among stakeholder groups on…

In measurement and evaluation processes, natural language responses are often avoided due to time, workload, and reliability concerns. However, the increasing popularity of automatic short-answer grading studies for natural language responses means such answers can now be measured more quickly and reliably. This study aims to build models for…

This research aimed to 1) examine the needs for developing digital content on the metaverse 2) develop and evaluate the quality of digital content on the metaverse combined with interactive communication activities 3) compare the perception of the sample group before and after viewing the digital content, and 4) assess the satisfaction of the…

Generative artificial intelligence (GenAI) has evolved rapidly, and many K-12 mathematics classroom teachers experience tensions about how to utilize it within their practice. The tensions become evident relative to teachers' readiness and willingness to use GenAI based on their: (1) personal depth of knowledge; (2) ethical concerns; and (3) lack…

This reflective inquiry reports on the experiences of a working group at Arizona State University (ASU) that, over the course of four months, built, integrated, and iterated artificial intelligence (AI) solutions into their daily work as research administrators. During this process, the group focused on creating AI solutions for the complex,…

As artificial intelligence becomes more widespread, tools such as GPT-3.5, GPT-4, and Google Gemini are also increasingly used as additional resources to help parents understand dyslexia. However, the validity and precision of these instruments have not been studied well. This cross-sectional study assessed ChatGPT-3.5, ChatGPT-4, and Gemini on…

The focus of this paper is a novel pedagogical planner that we have developed called the CFLS planner (Collaborative Filtering based on Learning Sequences). The CFLS planner has been designed for an open-ended and unstructured learning environment based on the ecological approach (EA) architecture (McCalla "Journal of Interactive Media in…

Knowledge Tracing (KT) is a task to model students' knowledge based on their coursework interactions within an Intelligent Tutoring System (ITS). Recently, Deep Neural Networks (DNN) showed superb performance over classical methods on multiple dataset benchmarks. While most Deep Learning based Knowledge Tracing (DLKT) models are optimized for…

Student learning agency, encompassing key abilities, essential mental characteristics and active actions, is recognized as a crucial factor for effective teaching and learning in the generative artificial intelligence (AI) era. This study examines the structural relationships among perceptions of generative AI (i.e., effort expectancy, performance…

Purpose: This paper aims to examine the opportunities and challenges of using ChatGPT in higher education. Furthermore, it is also discuss the potential risks and plunders of these tools. Design/methodology/approach: The paper discuss the use of artificial intelligence (AI) in academia and explores the opportunities and challenges of using ChatGPT…

Mask wearing has been required in various settings since the outbreak of COVID-19, and research has shown that identity judgements are difficult for faces wearing masks. To date, however, the majority of experiments on face identification with masked faces tested humans and computer algorithms using images with superimposed masks rather than…

Self-regulated learning is an essential skill that can help students plan, monitor, and reflect on their learning in order to achieve their learning goals. However, in situations where there is a lack of effective feedback and recommendations, it becomes challenging for students to self-regulate their learning. In this paper, we propose an…

Generative Artificial Intelligence (AI)'s emergence is viewed as a disruptive technological advancement that has been beneficial for most educational purposes but also coupled with emerging challenges and potentially destabilizing effects. Given the unprecedented onset and surge in interests, education stakeholders are often pressured to adopt…

Advances in artificial intelligence (AI) over the last few decades are transforming the world, pervading nearly all sectors of society, including education, and many aspects of life. In the education discourse, interest in artificial intelligence has sparked various reactions and controversies--everything from appreciation for AI's capabilities to…