This paper quantifies learning losses between 2020 and 2022 in the Dominican Republic, an upper-middle-income country. The paper uses data from a sample of ninth-grade students who benefited from computer adaptive learning software during this period. This study is among a few to measure actual losses among secondary school students, and it is the…

The study sought to examine the gender, faculty and school-based disparity that exists in students' research self-efficacy, perception of ethics in research and the level of stress they face in conducting research. A sample of 385 undergraduate students from the faculty of business and hospitality were selected from three public universities in…

Modern software companies prioritize high-quality products for competitiveness, and Software Process Improvement (SPI) models help achieve this. In Brazil, the Brazilian Software Process Improvement Model ("MPS-SW" model) is widely used, but its complexity and extensive documentation make it challenging to teach in undergraduate courses.…

The aim of this study is to examine the intercultural sensitivity levels of teacher candidates using CART analysis and to develop a predictive model using machine learning algorithms. Additionally, this study provides a framework for understanding the relationship between internet usage and intercultural sensitivity. The participants comprised 416…

This survey study explores the relationship between entertainment-oriented media literacy and critical literacy skills for internet among 355 preservice elementary teachers, using the Entertainment-Oriented Media Literacy Scale and the Critical Literacy Scale for Internet. Findings indicate high levels of both literacy types, with a weak positive…

In an increasingly globalized world, translation technologies are critical in facilitating language comprehension and translation performance, especially among college EFL students. Despite their potential, the factors impacting their actual use in tertiary education remain underexplored. This study employs the UTAUT2 model to identify…

Anatomy and physiology courses are foundational in nursing education but are often perceived as challenging due to heavy content load. Innovative teaching methods, including social media platforms like Instagram Reels, may enhance student engagement and learning. In this quasi-experimental pre-post-test design with a control group, we examined the…

Students in higher education increasingly integrate emerging technologies to enrich their learning experiences. Universal tools such as virtual classrooms, multimedia presentations, and learning management systems are now widely employed in teaching and learning activities. However, Artificial intelligence (AI) techniques are not yet commonly used…

With the rapid development of generative artificial intelligence (AI) frameworks (e.g., the generative pre-trained transformer [GPT]), a growing number of researchers have started to explore its potential as an automated essay scoring (AES) system. While previous studies have investigated the alignment between human ratings and GPT ratings, few…

This purposive sampling, quantitative study employed the Model of Student's Motivation framework to explore the impact of the TikTok application on enhancing students' speaking abilities. It involved four classes of mixed-ability one-year programme (PST) students, 2023/2024 Session at Pahang Matriculation College, Malaysia divided into two main…

There is growing support to the argument that effective use of technology in blended learning initiatives, such as gamification, can influence student retention and combat low levels of student engagement as well as improve academic performance. The aim of this study is to investigate the effectiveness of a gamified mobile application (GMA)…

Contextualised in the AI--supported English-speaking learning, this study examined the roles of AI affordances in influencing EFL learners' emotional, cognitive, and behavioural speaking engagement, and explored the moderating roles of gender and learner types (on-campus vs. on-job) in influencing AI-supported English-speaking engagement. Data…

This study explores the impact of assistive technologies on academic accessibility for visually impaired students in Moroccan higher education, focusing on translation studies. Using a mixed-methods approach, the research finds that technologies like screen readers are crucial, with 85% of participants using them daily. A strong positive…

Zearn Math is a popular software platform for K-8 mathematics learning, designed to enable all students to successfully access grade-level content. RAND researchers collaborated with Zearn, the product's developer, to design this evaluation. Then RAND conducted the study independently, randomly assigning 64 schools in an urban Texas district to…

Recent advancements in Artificial Intelligence (AI) are transforming language education by enabling more effective instructional practices and enhanced learning outcomes. AI-driven technologies--including tutoring systems, personalized learning platforms, and automated assessment tools--have the potential to revolutionize classroom instruction.…