The arrival of generative artificial intelligence (AI) is fundamentally different from prior technologies used in educational settings. Educators and researchers of online, blended, and in-person learning are still coming to grips with how to employ current AI technologies in the learning experience, let alone understanding the potential…

Background: The learning assistant (LA) model supports student success in undergraduate science courses; however, variation in outcomes has led to a call for more work investigating how the LA model is implemented. In this research, we used cultural historical activity theory (CHAT) to characterize how three different instructors set up…

Student engagement is one of the most promising concepts in educational research today, as it has been positively correlated to a host of desirable outcomes and negatively correlated to a variety of undesirable outcomes. While there has been tremendous progress in advancing our understanding of student engagement including the developing of…

This study contributes to the knowledge about mobile learning among medical students in the context of developing countries. This research used the Technology Acceptance Model (TAM) to study the preconditions for m-learning among medical students. A twenty-item self-reported survey was used to gather data from 387 medical students, and structural…

Many approaches to teaching Newman projections and conformational manipulation rely on lecturing using only two-dimensional representations. While molecular models are recognized as useful learning tools, students are often left to figure out how to use them during the initial learning process. The availability of basic online molecular models…

The study aims to examine the effectiveness of interactive digital content based on the technological pedagogical content knowledge framework (TPACK) model in developing the skills of educational aids production and enhancing cognitive achievement among early childhood students at Jadara University. The researcher relied on the quasi-experimental…

Goals are central to understanding how students learn a second language. Much of the existing research on goals in the field of language learning has focused exclusively on achievement goals, particularly mastery and performance goals. However, exclusively focusing on achievement goals precludes language researchers from exploring other important…

Advances in information technologies present opportunities for novel approaches, methods, and tools for new or improved education and training practices. Furthermore, these technologies are enabling a shift in the education paradigm. Based on an investigation of a wide range of information technologies supporting smart education, we developed a…

The Engagement Model was launched in January 2020, endeavouring to address the weaknesses of the P-scales assessment for students not yet involved in a subject-specific curriculum. This paper will discuss how and if the tensions between previously adopted assessment systems as discussed in teacher interviews can be reconciled through the…

The paper examines how science teachers' instructional adaptations to Toulmin's Argumentation Pattern (TAP), made during the first time the framework is introduced to students as a learning heuristic for structuring their arguments, could contribute to the way the quality of students' arguments is evaluated. We first depict these adaptations, that…

This article presents the design of a formal, special and flexible educational model for basic secondary school, aimed at adult victims of the armed conflict and former combatants in Colombia. This model is supported by emergent pedagogies and participatory methodologies which seek to consolidate harmonious relations between communities and nature…

This study investigated the small sample biasness of the ordered logit model parameters under multicollinearity using Monte Carlo simulation. The results showed that the level of biasness associated with the ordered logit model parameters consistently decreases for an increasing sample size while the distribution of the parameters becomes less…

With the wide expansion of distributed learning environments the way we learn became more diverse than ever. This poses an opportunity to incorporate different data sources of learning traces that can offer broader insights into learner behavior and the intricacies of the learning process. We argue that combining analytics across different…

Spatial regression models provide the opportunity to analyze spatial data and spatial processes. Yet, several model specifications can be used, all assuming different types of spatial dependence. This study summarizes the most commonly used spatial regression models and offers a comparison of their performance by using Monte Carlo experiments. In…

Learning to code is far from an easy task, it is a promising approach that underscores the use of the video game culture of students to motivate them to invest their time in the practice of programming. The students in this discipline are often discouraged by the amount of information to remember and the complex and constraining syntaxes.…