Recent developments in language models, such as ChatGPT, have sparked debate. These tools can help, for example, dyslexic people, to write formal emails from a prompt and can be used by students to generate assessed work. Proponents argue that language models enhance the student experience and academic achievement. Those concerned argue that…

Advances in data analytics and intelligent technologies are enabling smart learning environments that promote personalized learning. Personalized learning systems where learners engage with information in a manner tailored to their unique needs, goals, and abilities have garnered significant academic research attention. If students can achieve…

This study investigates the factors influencing the development of communication skills among students at The People's Hospital of Guangxi Zhuang Autonomous Region. Recognizing the pivotal role of effective communication in healthcare, the research aims to identify key elements, such as the learning process, environment, teachers, and students,…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…

Digital transformation in the global higher education industry determines the future roadmap to a sustainable education management strategy. This research paper aims to develop a qualitative model that advocates how digital transformation as a propelling force could be used to build competitive advantages for universities. Building competitive…

Instruction in many STEM domains heavily relies on visual representations, such as graphs, figures, and diagrams. However, students who lack representational competencies do not benefit from these visual representations. Therefore, students must learn not only content knowledge but also representational competencies. Further, as learning…

Effective planning lays the foundations for effective teaching in mathematics (Smith & Stein, 2018). The planning decisions made by teachers are many and varied and ultimately inform what, how and why students learn mathematics (Kilpatrick et al., 2001). Critically, these decisions affect students' opportunities to engage with mathematics in…

Over the past twenty-five years, or so, considerable advances have been made in understanding how learning occurs in the brain, though much of this research is still to make its way into education. One contribution it should be making is to furnish the philosophical critique of past and current theory with supporting empirical evidence. For…

The COVID-19 pandemic forced institutions of higher education around the world to quickly transition to forms of distance education, including synchronous and asynchronous online learning. Often lacking conceptual, empirical, and practical understanding of online pedagogy, many institutions have met this endeavor with mixed success. It seems…

Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…

Although small teacher education preparation programs (STEPP) may struggle to implement robust program design frameworks compared to their larger preparation program peers, a collaborative design can help smaller programs with resource limitations. This collaboration can facilitate the design of effective and efficient teacher preparation programs…

The study is aimed to develop the open innovation model of student's research activities based on the adaptation of modern scientific achievements in the context of transition to sustainable development of the education system. It advances a general approach to the design of the structure and implementation of main components of hybrid intelligent…

Teacher learning is a huge challenge in instructional change, but relatively little work has carefully examined the mechanisms by which teachers learn, in contrast to the extensive work on programs that help teachers learn and the high-leverage instructional practices that are strong predictors of student learning. Specifically, relatively little…

Purpose: To determine the impact of two preservice teachers' value orientations on their interpretation and delivery of the skill themes approach. Method: The short form of the value orientations inventory and five qualitative techniques were used to collect data. Participants' value orientations inventory profiles were illustrated graphically.…

In her keynote article advocating the Linguistic Proximity Model for third language (L3) acquisition, Westergaard (2021) presents several arguments against 'copying and restructuring' in nonnative language acquisition, mechanisms central to Schwartz and Sprouse's (1996) Full Transfer/Full Access model of second language (L2) acquisition. In this…