Spatial computing is the fourth paradigm of the digital revolution and could profoundly transform learning. It is the convergence of several technological developments, including Augmented and Virtual Reality (XR), Artificial Intelligence, haptic feedback, motion-capture, and situational awareness engines. This article explores how the shift from…

Predicting learning and human behavior in general is a challenging endeavor. Machine learning driven predictive modeling have been an increasingly popular means to understand disparities in student performance. With more than a handful of approaches to predictive modeling, the current literature of predicting learning is plagued with issues such…

Intelligent tutoring systems (ITSs) have consistently been shown to improve the educational outcomes of students when used alone or combined with traditional instruction. However, building an ITS is a time-consuming process which requires specialized knowledge of existing tools. Extant authoring methods, including the Cognitive Tutor Authoring…

An important feature of the currently used artificial intelligence systems is their anthropomorphism. The tool of inductive empirical systems is a neural network that simulates the human brain and operates in the "black box" mode. Deductive analytical systems for representation of knowledge use transparent formalized models and…

Reviewer comments in research articles such as journal papers or dissertations guide students during the revision process to improve the quality of their articles. Our goal is to make the comments more meaningful to the students' revision process. Revision involves implicit cognitive processes and ICT has the potential to make such processes…

The representation of knowledge is a process widely used in education for its potential to generate deep learning, metacognition, and also in mapping the student's cognitive structure while developing a broad spectrum of thinking skills. Notwithstanding the above mentioned benefits, the development and evolution of new digital ecologies of…

The paper looks back across dominant ways of delivering Higher Education until the present day and then looks forward. There is an approximate continuum described from Education 1.0 through 2.0 to 3.0. Education is mapped onto the emergence and development of the Web and the revolutions known as 'Industrial' over the last 250 years. Then some…

Computer vision algorithms have made tremendous advances in recent years. We now have algorithms that can detect and recognize objects, faces, and even facial actions in still images and video sequences. This is wonderful news for researchers that need to code facial articulations in large data sets of images and videos, because this task is time…

Since the 1960s, researchers have been trying to optimize the sequencing of instructional activities using the tools of reinforcement learning (RL) and sequential decision making under uncertainty. Many researchers have realized that reinforcement learning provides a natural framework for optimal instructional sequencing given a particular model…

In science, technology, engineering, arts, and mathematics (STEAM) education, artificial intelligence (AI) analytics are useful as educational scaffolds to educe (draw out) the students' AI-Thinking skills in the form of AI-assisted human-centric reasoning for the development of knowledge and competencies. This paper demonstrates how STEAM…

Artificial intelligence has experienced major developments in recent years and represents an emerging technology that will revolutionize the ways in which human beings live. This technology is already being introduced in the field of higher education, although many teachers are unaware of its scope and, above all, of what it consists of.…

Conversational Intelligent Tutoring Systems (ITSs) are expensive to develop. While simple online courseware could be easily authored by teachers, the authoring of conversational ITSs usually involves a team of experts with different expertise, including domain experts, linguists, instruction designers, programmers, artists, computer scientists,…

The Association of Research Libraries (ARL) seeks to understand and engage the research library community and others in the research and learning ecosystem on the ethical implications of artificial intelligence (AI) in the context of knowledge production, dissemination, and preservation. Furthermore, it seeks to inform the adoption of AI in…

Web allows learners to investigate any question to learn with a large number of Web resources. In such investigative learning, leaners are expected to investigate the question by navigating Web resources/pages to construct their knowledge and decomposing the question into sub-questions. In acquiring skills in such investigative learning, learners…

This paper investigates whether voice assistants can play a useful role in the specialized work-life of the knowledge worker (in a biology lab). It is motivated both by promising advances in voice-input technology, and a long-standing vision in the community to augment scientific processes with voice-based agents. Through a reflection on our…