E-learning is gradually gaining prominence in higher education, with universities enlarging provision and more students getting enrolled. The effectiveness of automated essay scoring (AES) is thus holding a strong appeal to universities for managing an increasing learning interest and reducing costs associated with human raters. The growth in…

This study aimed to examine the multiple intelligences among the ninth-grade students in the North Al Batinah Governorate in the Sultanate of Oman. The study sample contained 112 randomly selected students. For the purposes of this study, the researchers designed two multiple intelligences scales, consisting of the eight types of intelligences:…

The purpose of this study is to compare the multiple intelligence level of athletes participating in Inter-University Kick Boxing Championships in Turkey according to different variables. The universe of the study is created by 650 athletes from 65 universities that attended to the Inter-University Kick-Boxing Championship in Turkey (between 06-11…

Among all the learning resources within MOOCs such as video lectures and homework, the discussion forum stood out as a valuable platform for students' learning through knowledge exchange. However, peer interactions on MOOC discussion forums are scarce. The lack of interactions among MOOC learners can yield negative effects on students' learning,…

Assessing the performance of academics at different levels is increasingly difficult to achieve using traditional methods based mainly on numerical scores in evaluating teaching and research activity. The indexing of academic performance in various international databases with impact indices at different scales has led to the need for advanced…

Students' beliefs about their ability to improve their intelligence (known as mindset) likely have more impact on their academic outcomes when engaging in challenging learning environments, such as introductory undergraduate chemistry courses. To date, little research has been conducted on the chemistry-specific aspects of intelligence which…

Teaching Machine Learning in school helps students to be better prepared for a society rapidly changing due to the impact of Artificial Intelligence. This requires age-appropriate tools that allow students to develop a comprehensive understanding of Machine Learning in order to become creators of smart solutions. Following the trend of visual…

Cultivating students' key competencies contributes to students' adaptation to the fast developing intelligent era. Artificial intelligence education is an important way to cultivate students' key competencies. It is increasingly important to set up appropriate artificial intelligence courses at the fundamental education stage and cultivate…

This article defines deep learning and describes how four technology-based activities can be used to promote deep learning in the online environment. The rationale for their use along with benefits, limitations, and alternatives are explored.

Social networks have created an information diffusion corpus that provides users with an environment where they can express their views, form a community, and discuss topics of similar or dissimilar interests. Even though there has been an increasingly rising demand for conducting an emotional analysis of the users on social media platforms, the…

When depicting emotions, children have been shown to alter the content of their drawings (e.g., number and types of expressive cues) depending on the characteristics of the audience (i.e., age, familiarity, and authority). However, no study has yet investigated the influence of the audience gender on children's depiction of emotions in their…

This article is qualitative-descriptive analytical research on multiple intelligences, a theory which Howard Gardner introduced. According to Howard Gardner's findings, the concept of multiple intelligences has been widely known and used in educational institutions. Multiple intelligences are also considered a theory that first recognized the…

We explore how different components of an Automatic Short Answer Grading (ASAG) model affect the model's ability to generalize to questions outside of those used for training. For supervised automatic grading models, human ratings are primarily used as ground truth labels. Producing such ratings can be resource heavy, as subject matter experts…

Today, there is a vast amount of online material for learners. However, due to the lack of prerequisite information needed to master them, a lot of time is spent in identifying the right learning content for mastering these concepts. A system that captures underlying prerequisites needed for learning different concepts can help improve the quality…

ITSs have the requirement to be adaptive to the student with AI. The classical ITS architecture defines three components to split the data and to keep it flexible and thus adaptive. However, there is a lack of abstract descriptions how to put adaptive behavior into practice. This paper defines how you can structure your data for case based systems…