In recent times, 'Green Skills' has become a buzzword in international, national and local policies. Green Skills are considered to be an important precondition to achieving the United Nations' Sustainable Development Goals. However, until now, there has been a research gap in how companies, characterised by the particularities of their business,…

Artificial intelligence (AI) and automation are newly impacting the governance of international students, a temporary resident category significant for both direct economic contributions and the formation of a "pool" of potential future immigrants in many immigrant-dependent countries. This paper focuses on tensions within Canada's…

Purpose: The Language ENvironment Analysis (LENA) is a technological tool designed for comprehensive recordings and automated analysis of young children's daily language and auditory environments. LENA recordings play a crucial role in both clinical interventions and research, offering insights into the amount of spoken language children are…

The integration of formative practice questions with textbook content is a well-known method for increasing student learning, and recent advances in artificial intelligence have made automatic question generation a viable option for scaling this learning method to thousands of textbooks. To expand this method to even more students, a parallel…

Libraries are increasingly adopting information and communication technologies to enhance their services. To ensure all libraries can benefit, regardless of budget, this study highlights gLabel, a freely available open-source tool for barcode label development. The purpose of this paper is to promote gLabel for low-budget libraries by exploring…

To estimate the distribution of the number of acquaintances of the members of a society, the network scale-up method asks survey respondents about the number of people they know with features for which national statistics are available. While many features have been used for this purpose, first names have been suggested to produce particularly low…

Recently, robotization and automation cover all new industries and spheres of life. Higher education is not an exception. The purpose of this work is to study the process of robotization of higher education and determine its significance for bridging the gap between the university education market and the work market. This paper uses the method of…

As ChatGPT continues to reshape student engagement and instructional design, it is crucial to examine its practical implications. This study aims to evaluate the effectiveness of ChatGPT3.5 and ChatGPT4 as potential automated essay scoring (AES) systems. Fifty authentic, student-written annotated bibliographies were evaluated by three human raters…

Student's shift of attention away from a current learning task to task-unrelated thought, also called mind wandering, occurs about 30% of the time spent on education-related activities. Its frequent occurrence has a negative effect on learning outcomes across learning tasks. Automated detection of mind wandering might offer an opportunity to…

Code quality is a critical aspect of programming, as high-quality code is easier to maintain, and code maintenance constitutes the majority of software costs. Consequently, code quality should be emphasized in programming education. While previous research has identified numerous code quality defects commonly made by students, the current state…

Purpose: The purpose of this paper is to identify workforce skills that protect an occupation from elimination due to automation technology. Design/methodology/approach: The authors apply a Gaussian process (GP) classifier, based on the level of non-automatable work activities in an occupation, to USA and Colombian occupational datasets. Findings:…

This paper reports on a set of three recent experiments utilizing large-scale speech models to assess the oral reading fluency (ORF) of students in Ghana. While ORF is a well-established measure of foundational literacy, assessing it typically requires one-on-one sessions between a student and a trained rater, a process that is time-consuming and…

The aim of this research is to evaluate the OpenZeka Mini Autonomous Race Car (MARC), Turkey's first autonomous vehicle competition, within the scope of the education program. The study employed the case study technique, adopting "Responsive" and "Analytical" Program Evaluation Models as the research framework. Initially,…

An increasing number of studies are exploring the benefits of automatic speech recognition (ASR)-based dictation programs for second language (L2) pronunciation learning (e.g. Chen, Inceoglu & Lim, 2020; Liakin, Cardoso & Liakina, 2015; McCrocklin, 2019), but how ASR recognizes accented speech and the nature of the feedback it provides to…

This paper presents a model for automatically selecting and allocating secondary education teachers to schools while considering various factors such as the diversity of sections and lessons, school distances, teacher specializations, teaching workloads, and other constraints. This poses a complex challenge that educational authorities in…