This study compares how the generative AI (GenAI) large language model (LLM) ChatGPT performs in grading university exams compared to human teachers. Aspects investigated include consistency, large discrepancies and length of answer. Implications for higher education, including the role of teachers and ethics, are also discussed. Three…

First-generation students (FGS) are a population that has received increasing attention, but the term "first-generation student" has been inconsistently defined. Such inconsistency creates challenges not only for research, but for students themselves, many of whom may find they meet the FGS definition in one institutional context, but…

Studies have shown that raising L2 learners' metaphor awareness contributes to the acquisition of figurative language, which fosters students' development of language skills. However, the instruments measuring metaphor awareness, in the majority of relevant research, did not seem to have undergone proper methodological procedures for checking…

The credibility of conclusions arrived at in quantitative research depends, to a large extent, on the quality of data collection instruments used to quantify language and non-language constructs. Despite this, research into data collection instruments used in Applied Linguistics and particularly in the thesis genre remains limited. This study…

Notwithstanding the neuromyth controversy, the malleability of learning style preferences impacts the validity of the measurement instrument and the effectiveness of the associated model of learning. This study investigates the test-retest reliability and underlying dynamics of Kolb's Learning Style Inventory (KLSI). It surveys 245 college-level…

The article focuses on adaptation and validation of the Academic Motivation Scale questionnaire (AMS-28) in higher education in four Eastern European countries: Czechia, Slovakia, Serbia, and Poland. The research was conducted with a total of 1711 respondents. We examined the construct validity of AMS-28 including measurement invariance and…

Background: Speech-language pathologists often multitask in order to be efficient with their commonly large caseloads. In stuttering assessment, multitasking often involves collecting multiple measures simultaneously. Aims: The present study sought to determine reliability when collecting multiple measures simultaneously versus individually.…

Generative artificial intelligence technologies, such as ChatGPT, bring an unprecedented change in education by leveraging the power of natural language processing and machine learning. Employing ChatGPT to assist with marking written assessment presents multiple advantages including scalability, improved consistency, eliminating biases associated…

The goal of this paper is twofold. First, the paper clarifies and elaborates on an important theoretical construct called orientation with respect to understanding in mathematics, which denotes the degree to which students exhibit an inclination towards and demonstrate an earnest concern for understanding in mathematical learning. Second, the…

Drawing on the concepts of consistency, this study contributes to the discussion of study programme plans and the links between curriculum elements. The main argument is that a universal requirement of consistency is taken for granted in study programme planning, even though critics have noted a need for closer scrutiny and debate. The literature…

The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…

Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defined by experts and their experience. However, with the rise of generative AI and especially large…

This paper introduces a framework aimed at assessing the sustainability of fashion designers, intending to evaluate their proficiency in sustainability and enhance higher education in design. To establish a system for assessing and evaluating sustainable design competence, we initiated interviews with both designers and fashion design students.…

Purpose: Current knowledge and research on students' utilization and interaction with generative artificial intelligence (AI) tools in their academic work is limited. This study aims to investigate students' engagement with these tools. Design/methodology/approach: This research used survey-based research to investigate generative AI literacy…

Stability and change in students' achievement goals (AGs) are of great relevance for educational research and practice. In two separate meta-analyses, we investigated the rank-order stability (93 studies, 569 effect sizes, 54,736 students), as well as the mean-level change (157 studies, 1,170 effect sizes, 81,464 students) in AGs throughout…