Educational assessment is inherently uncertain, where physiological, psychological and social factors play an important role in establishing judgements which are assumed to be "absolute". AI and other algorithmic approaches to grading of student work strip-out uncertainty, leading to a lack of inspectability in machine judgement and…

Students have gravitated toward the convenience of artificial intelligence (AI) to generate text, music, and for entertainment. Faculty are also emerging as AI consumers. Given that faculty workloads have become increasingly difficult to manage, AI holds promise for assisting with teaching and research. In this article, a pedagogical case study is…

This study introduces a novel approach for predicting student engagement levels in a language-based AI curriculum. The curriculum was integrated into English Language Arts classrooms, in which 106 students from five classes participated five web-based machine learning and text mining modules for 2 weeks. Sentiment and categorical analyses,…

This article dives into the reality of how, since 2023, generative artificial intelligence (AI) has emerged as an inescapable force in education and highlights the work of community college faculty in use of AI in teaching and learning. ChatGPT is an example of a relatively new and rapidly evolving aspect of AI research, the large language model.…

As artificial intelligence becomes an all-encompassing issue in education and beyond, this book seeks to answer how it will change the arc of educational leadership in K-12 schooling. Educators and leaders serve as the champions and gatekeepers of technology use in schools. They need to consider how AI can change education for the better while…

ChatGPT, a generative, pre-trained transformer gained great attention in various fields, Education included. The authors feel the need to investigate the views of practitioners and researchers regarding this issue. Using the systematic review as the structure of research method, the authors created their criteria, and got 65 papers after applying…

How, and to what extent, are advancement professionals integrating artificial intelligence (AI) into their work? What do they view as the primary opportunities presented by this new technology, and what are their concerns regarding its use? To answer these questions, the Council for Advancement and Support of Education (CASE) and GiveCampus…

There has been a growing interest in developing learner models to enhance learning and teaching experiences in educational environments. However, existing works have primarily focused on structured environments relying on meticulously crafted representations of tasks, thereby limiting the agent's ability to generalize skills across tasks. In this…

Evaluating the helpfulness of review comments is increasingly important in peer-assessment research, as students are more likely to accept and implement the feedback they perceive as helpful. Automating the evaluation of review helpfulness by AI models faces two challenges: (1) the limited availability of annotated datasets with helpfulness tags…

GRE Aptitude Test scores have been a key criterion for admissions to U.S. graduate programs. However, many universities lifted their standardized testing requirements during the COVID-19 pandemic, and many decided not to reinstate them once the pandemic ended. This change poses additional challenges in evaluating prospective students. In this…

Student modeling is central to many educational technologies as it enables predicting future learning outcomes and designing targeted instructional strategies. However, open-ended learning domains pose challenges for accurately modeling students due to the diverse behaviors and a large space of possible misconceptions. To approach these…

Automated explanatory feedback systems play a crucial role in facilitating learning for a large cohort of learners by offering feedback that incorporates explanations, significantly enhancing the learning process. However, delivering such explanatory feedback in real-time poses challenges, particularly when high classification accuracy for…

This resource is a quick primer on AI, with examples of what the different programs can generate based on user prompts, challenges and opportunities, discussion of implications and our recommendations for higher education institutions.

The purpose of this quantitative post measure only experimental study was to determine if, or to what extent, the use of emojis by a chatbot pedagogical agent in a threaded conversation is effective in eliciting social presence, human-like, and engaging perceptions by adult learners living in North America. Social presence theory provided the…

Technological advances have significantly affected education, leading to the creation of online learning platforms such as virtual learning environments and massive open online courses. While these platforms offer a variety of features, none of them incorporates a module that accurately predicts students' academic performance and commitment.…