The objective of this research is to investigate the effectiveness of integrating natural language processing (NLP) technologies into an English language learning program aimed at enhancing auditory and speaking competencies. The methodology of the research is grounded in the development and testing of the intervention effectiveness of neural…

Many interventions that "work" in small-scale trials often fail at scale, highlighting the centrality of effective scaling for realizing the promise of evidence-based policy. We study the scaling of a personalized adaptive learning (PAL) software that was highly effective in a small-scale trial. We adapt the PAL implementation for…

As pedagogical training becomes more advanced and intensive, new methods of instruction that incorporate information technology are becoming increasingly important. The purpose of this article is to investigate how using the MuseScore scorewriter to teach solfeggio affects music students' ability to think creatively. The program designed for a…

Conversational user interfaces (CUI), including voice interfaces, which allow users to converse with computers via voice, are gaining wide popularity. VoiceBots allow users to receive a response in real-time, regardless of the communication device. VoiceBots have been explored in fields such as customer service to automate repetitive queries and…

The primary aim of this study was to evaluate whether the use of the EmoMusic dataset could enhance first-year students' emotional and musical creativity. A randomized controlled trial was conducted with 128 students. Participants were randomly assigned either to a control group that continued traditional vocal training or to an experimental group…

We introduce the free web-app PyGgb -- the combination of the well-known programming language Python and the dynamic mathematics system GeoGebra. Motivated by the desire to provide an introduction to Python coding in the familiar context of mathematics and geometry, PyGgb allows GeoGebra constructions to be created using Python code. We outline…

Science, technology, engineering, and mathematics (STEM) students are typically taught content delivered didactically and closely aligned with the laboratory demonstration of concepts, which facilitates the development of experimental skills. Because of the volume of content delivered across multiple courses, student cognitive abilities can be…

This study examines the impact of interactive reading instructional software (IRIS) on the reading speed of first-grade elementary students. Using a single-group pre-test post-test quasi-experimental design, the research involved 21 days of interactive reading lessons. Observations during the implementation phase helped evaluate the influence of…

Gamified learning apps have proliferated for language learning in contemporary Higher Educational contexts, owing to their capacity to enhance learner engagement and motivation. However, limited empirical attention has been given to the psychological and cognitive mechanisms through which learners' interactions with gamified elements translate…

The current literature on technology in mathematics education overlooks integration of technology into mathematics education curriculum, a crucial aspect that this study aims to address. The research questions guide an exploration of technological applications, the impact on learning outcomes, engagement, and challenges faced by educators in…

The COVID pandemic highlighted the increasing deployment of digital technologies in educational institutions, defined as 'edtech'. The most visible edtech was video conferencing software, but a swathe of edtech startups have sought to roll out their products and services to educational institutions. We focus specifically on the deployment of…

Self-regulated learning (SRL) involves processes by which learners purposefully direct their cognitions, emotions, and behaviors towards the achievement of personal learning goals. Research has shown that young learners often struggle with SRL. Educational technology could be useful to support their SRL. However, it remains unclear how support…

Manual composition of tasks and exams is a challenging and time-consuming task. Especially when exams are taken remotely without the personal monitoring by examiners, most exams can easily lose their integrity with the use of previously done exercises or student communication. This research introduces an approach that incorporates the principles…

This study aims to understand students' adoption of ChatGPT in educational settings. Students' perceptions of ChatGPT influence their intentions to adopt it. The factors that influence their adoption include "Perceived Pedagogy", "Perceived Amplification ", Perceived Ingenuity" and "Perceived Ethics " and these…

Due to the frequent utilization of technological applications in contemporary times, the quality of educational processes is rapidly evolving. This study examines students' experiences through simulation software applications. A mixed-method design is employed due to the combined use of qualitative and quantitative data collection methods.…