Artificial intelligence (AI) encompasses the science and engineering behind creating intelligent machines capable of tasks that typically rely on human intelligence, such as learning, reasoning, decision-making, and problem-solving. By analyzing vast amounts of data, identifying patterns, and making predictions that were once impossible, AI has…

The relative effectiveness of reflection either through student generation of contrasting cases or through provided contrasting cases is not well-established for adult learners. This paper presents a classroom study to investigate this comparison in a college level Computer Science (CS) course where groups of students worked collaboratively to…

Background: Behavioural problems in individuals with intellectual disabilities have a negative impact on them. Limited assessment measures exist in Spain. This study aimed to validate the Behavior Problems Inventory--Short Form (BPI-S) in the Spanish population by examining its psychometric properties and factorial structures. Method: This study…

In this paper, we initially investigate the capabilities of GPT-3 5 and GPT-4 in solving college-level calculus problems, an essential segment of mathematics that remains under-explored so far. Although improving upon earlier versions, GPT-4 attains approximately 65% accuracy for standard problems and decreases to 20% for competition-like…

Check-in/Check-out (CICO) behavioral support has been implemented in Finnish School-Wide Positive Behavior Interventions and Support (SWPBIS) schools to cater to students who require personalized behavior support beyond the universal level. Previous studies have demonstrated the effectiveness of CICO as a behavioral support method. However,…

Background: Engagement of individuals with an intellectual disability and their caregivers in health care has been highlighted as an essential factor in developing services that better meet client needs; however, few studies have focused on the engagement of individuals with a dual diagnosis (intellectual disability co-occurring with a mental…

Non-formal education seeks to address the limitations of formal education that do not reach all communities and do not provide all new competencies and capabilities that are essential for the integrated development of communities. The role of non-formal education becomes even more relevant in the context of developing countries where significant…

Studies have shown that students have different help-seeking behavior patterns and tendencies and furthermore, that students with certain help-seeking behavior patterns and tendencies may have poor performance (i.e., at-risk students). This study applied an educational data mining approach, including clustering and classification, to analyze…

The integration of artificial intelligence (AI) into mathematical problem-solving has shown significant potential to enhance student learning and performance. However, while AI tools offer numerous benefits, they are prone to occasional conceptual and arithmetic errors that can mislead users and obscure understanding. This research examines such…

A concept-heavy engineering module was offered to introduce the experience of solving full-scale real-world energy-related engineering problems within a classroom environment and prepare students to be professionally ready for the industry. The widely practiced hybrid problem-based learning (h-PBL) pedagogical approach was adopted for the first 2…

The excessive restrictions on the resignation rights of public university teachers, especially high-level talents, have affected the rights and interests of the legal flow of talent. Whether the employment contract can continue to be performed, whether the service period and the liquidated damages clause violate the provisions of the 'Labour…

The advancement of large language model-based generative artificial intelligence (LLM-based GenAI) has sparked significant interest in its potential to address challenges in computational thinking (CT) education. CT, a critical problem-solving approach in the digital age, encompasses elements such as abstraction, iteration, and generalisation.…

Obsessive-compulsive disorder (OCD) and autism are characterized by the presence of repetitive behaviors. Differentiating between repetitive behaviors attributable to a diagnosis of autism, and those attributable to OCD, poses challenges for differential and co-occurring diagnosis. Differentiation is important to inform appropriate supports and…

Introduction: Classroom incivility is low-level antisocial behavior that disrupts the overall learning environment. It is an important behavior to be studied in adolescence, given its associations with other antisocial behavior (e.g., bullying), negative impact on the learning environment, and predicting later aggressive behavior. The current…

This study uses a quantitative methodology, employing a structured questionnaire, to examine the effectiveness of courses offered by Rustaq College of Education in enhancing students' future skills. The study focuses on pre-service teachers' perceptions within the context of the Omani Future Skills Paradigm Framework. The study results show that…