The traditional Elo rating system (ERS), widely used as a student model in adaptive learning systems, assumes unidimensionality (i.e., all items measure a single ability or skill), limiting its ability to handle multidimensional data common in educational contexts. In response, several multidimensional extensions of the Elo rating system have been…

The growing integration of technology into education, particularly in the STEM fields, has tended to focus on its objective advantages, ignoring its affective potential. To explore this potential, based on some principles of "Kansei/Affective Engineering," an initial analysis was conducted considering 501 interventions in a conversation…

Despite extensive research on feedback models, there is still sparse empirical evidence of their validity and application in higher education learning settings, whether online, hybrid, or face-to-face. Understanding how a feedback framework--integrated in the instructional cycle--is perceived by the learners can provide empirical support about its…

This study investigates the application of the SECI model of knowledge dimensions in the design and execution of educational courses in "Innovation and Digitization Management" and "Data-Based Decision Making" microdegrees, developed within the rapidly evolving educational landscape of 2023 and 2024. The research incorporates a…

This study aimed to build a model to detect the factors to enhance student engagement and learning development in mobile learning during the COVID-19 Pandemic. Data from a total of 400 junior-high-school students were collected in China in the fall semester of 2020, and a large proportion of students preferred accessing their study with cellphones…

The application of machine learning (ML) has grown and is now used to enhance learning outcomes. In blended classroom settings, ML, emerging smartphones and wearable technologies are commonly used to improve teaching and learning. The combination of these advanced technologies and ML plays a crucial role in enhancing real-time feedback quality.…

In the scenario of COVID-19, the online learning capacity has increased much more than the face to face or traditional learning. Due to the increased capacity of online learning in higher education, the quality of online learning has serious concerns. To achieve the minimum requirements of quality in online learning for sustainable development, it…

Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different…

Data Analytics has become an essential part of the Internet of Things (IoT), mainly text analytics-related applications, since they can be utilized to benefit educational institutions, consumers, and enterprises. Text Analytics is excessively used in Smart Education after the emerging technologies such as personal computers, tablets, and even…

Distance education has increased steadily since the onset of COVID-19. As online offerings become a staple in programs of study, rather than the exception, it is important to consider how instructors design their courses to incorporate feedback as well as how they promote active student involvement in feedback processes. In this paper, the authors…

We used the design-based research approach to test and refine a theoretically grounded goal-access-feedback-challenge-collaboration gamification model. The testbed was a 10-week, university-level e-learning design course offered in two consecutive semesters. In Study 1, we implemented the initial goal-access-feedback-challenge-collaboration model…

In many university mathematics courses, homework accounts for the majority of students' interaction with mathematics content. However, we know little about students' activity as they complete homework. This paper presents an empirically-based model of students' activity as they complete an online homework assignment. I developed the model based on…

Recent research regarding personalized web based educational systems demonstrate learners' motivation to be an essential component of the learning model. This is due to the fact that low motivation results in either students' less engagement or complete drop out from the learning activities. A learner motivation model is considered to be a set of…

The purpose of this study is to propose an e-learning system model for learning content personalisation based on students' emotions. The proposed system collects learners' brainwaves using a portable Electroencephalogram and processes them via a supervised machine learning algorithm, named K-nearest neighbours (KNN), to recognise real-time…

Over the past two years teacher education programs across the world have faced unprecedented and unexpected challenges that have led to a rapid reconfiguration of in-person teacher training to online formats. For many, this meant reimagining how practice-based teacher education could be envisioned in an online space and without field experiences…