This study investigates staffing competencies and collaboration for electronic resource management (ERM) in public and private university libraries in Ghana. Interviews were conducted with twenty-four library staff from two public and two private universities and three consortium executives. The findings revealed similarities and differences in…

Despite a tremendous increase in the use of video for conducting research in classrooms as well as preparing and evaluating teachers, there remain notable challenges to using classroom videos at scale, including time and financial costs. Recent advances in artificial intelligence could make the process of analyzing, scoring, and cataloguing videos…

The plate and frame filtration experiment is one of the essential experiments performed by undergraduate students during their practical education. While this experiment often relies on the conventional manual recording of data and calculation, there are frequent problems with data collection because capturing transient data of filtrate volume and…

Artificial Intelligence is a fast-evolving technology with enormous potential for education, higher education, and learning. AI can also negatively impact how societies and their citizens engage ethically with these generated, still-unexplored tools. These technological breakthroughs present both opportunity and potential peril. The problem of any…

The effectiveness of feedback in enhancing learning outcomes is well documented within Educational Data Mining (EDM). Various prior research have explored methodologies to enhance the effectiveness of feedback to students in various ways. Recent developments in Large Language Models (LLMs) have extended their utility in enhancing automated…

The purpose of this paper is to present an automated approach for the marking and grading of the commonly used accounting practice assignment for first year financial accounting. The automated system has potential benefits for the reduction in time and cost to the running of the course as well as providing students with an objective standardised…

This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…

As intelligent textbooks become more ubiquitous in classrooms and educational settings, the need to make them more interactive arises. An alternative is to ask students to generate knowledge in response to textbook content and provide feedback about the produced knowledge. This study develops Natural Language Processing models to automatically…

This study explores how Google Assistant can enhance the speaking skills of English as a foreign language (EFL) learners with an emphasis on involvement, pronunciation, accuracy, and fluency. The study addresses the main question of whether Google Assistant helps EFL students become more proficient speakers through various approaches. A total of…

Background: Automated Writing Evaluation (AWE) systems to aid writing learning and instruction in primary and secondary education are growing increasingly popular. However, their effectiveness is hardly known. We conducted a systematic review focusing on the effects of these systems providing writing feedback to students in school settings.…

Effective time management is essential for us all, whether students or anyone else. There are many factors which affect how well students manage their time and in what ways. As with everything, some are excellent at managing their time and others are not. As faculty, we can assist our learners to better manage their time, whether this is in the…

A model that maps the requisite skills, or knowledge components, to the contents of an online course is necessary to implement many adaptive learning technologies. However, developing a skill model and tagging courseware contents with individual skills can be expensive and error prone. We propose a technology to automatically identify latent…

An interdisciplinary honors course titled "Minds, Machines, and Meaning" incorporates the notion of the algorithmic imaginary, which explains how people make use of algorithms to create new information infrastructures and communities and how these algorithms shape us in turn. Describing a culminating writing assignment in speculative…

This exploratory case study examined how and if career counselors learned about the impact of automation and artificial intelligence (AI) on occupations, including which actions, activities, and conditions helped or hindered their learning, and what impact this learning had on their professional practice. The data included questionnaires and…

Machine learning algorithms that automatically score scientific explanations can be used to measure students' conceptual understanding, identify gaps in their reasoning, and provide them with timely and individualized feedback. This paper presents the results of a study that uses Hebrew NLP to automatically score student explanations in Biology…