E-learning is gradually gaining prominence in higher education, with universities enlarging provision and more students getting enrolled. The effectiveness of automated essay scoring (AES) is thus holding a strong appeal to universities for managing an increasing learning interest and reducing costs associated with human raters. The growth in…

Among all the learning resources within MOOCs such as video lectures and homework, the discussion forum stood out as a valuable platform for students' learning through knowledge exchange. However, peer interactions on MOOC discussion forums are scarce. The lack of interactions among MOOC learners can yield negative effects on students' learning,…

Assessing the performance of academics at different levels is increasingly difficult to achieve using traditional methods based mainly on numerical scores in evaluating teaching and research activity. The indexing of academic performance in various international databases with impact indices at different scales has led to the need for advanced…

Teaching Machine Learning in school helps students to be better prepared for a society rapidly changing due to the impact of Artificial Intelligence. This requires age-appropriate tools that allow students to develop a comprehensive understanding of Machine Learning in order to become creators of smart solutions. Following the trend of visual…

Cultivating students' key competencies contributes to students' adaptation to the fast developing intelligent era. Artificial intelligence education is an important way to cultivate students' key competencies. It is increasingly important to set up appropriate artificial intelligence courses at the fundamental education stage and cultivate…

This article defines deep learning and describes how four technology-based activities can be used to promote deep learning in the online environment. The rationale for their use along with benefits, limitations, and alternatives are explored.

We explore how different components of an Automatic Short Answer Grading (ASAG) model affect the model's ability to generalize to questions outside of those used for training. For supervised automatic grading models, human ratings are primarily used as ground truth labels. Producing such ratings can be resource heavy, as subject matter experts…

Today, there is a vast amount of online material for learners. However, due to the lack of prerequisite information needed to master them, a lot of time is spent in identifying the right learning content for mastering these concepts. A system that captures underlying prerequisites needed for learning different concepts can help improve the quality…

ITSs have the requirement to be adaptive to the student with AI. The classical ITS architecture defines three components to split the data and to keep it flexible and thus adaptive. However, there is a lack of abstract descriptions how to put adaptive behavior into practice. This paper defines how you can structure your data for case based systems…

Today, artificial intelligence technologies (AI) add significant complexities to organizational learning, performance, and change, and these technologies are proliferating across all industries at rapidly increasing rates (West, 2018). However, most organizations do not understand how to make sense of AI (Brynjolfsson & McAfee, 2017), and the…

From climate disaster to the specter of nuclear annihilation to the rise of fascism and destruction of democracy to the advent of AI and other potentially destructive technologies, a number of material threats are matched by symbolic threats that undermine the capacities of people to respond. The war on public and critical education and the public…

Messaging platforms are applications, generally mediated by an app, desktop program or the web, mainly used for synchronous communication among users. As such, they have been widely adopted officially by higher education establishments, after little or no study of their impact and perception by the teachers. We think that the introduction of these…

The potential of artificial intelligence (AI) is not yet known, but is expected to impact most aspects of our lives and work in the next 20 years. AI will be able to help solve complex problems, help with investment and business development, support medical and health care, and substantially impact the field of education. State education agencies…

With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…

This article reflects on the transformative nature of generative AI (GenAI) tools for teaching and teacher education, both reflecting on current innovation and consider future potentials and challenges. In that sense, we aim to position the field of education going forward with the implications of new technologies like GenAI for education…