Saudi Cultural Missions Theses & Dissertations
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Item Restricted Utilizing Artificial Intelligence to Develop Machine Learning Techniques for Enhancing Academic Performance and Education Delivery(University of Technology Sydney, 2024) Allotaibi, Sultan; Alnajjar, HusamArtificial Intelligence (AI) and particularly the related sub-discipline of Machine Learning (ML), have impacted many industries, and the education industry is no exception because of its high-level data handling capacities. This paper discusses the various AI technologies coupled with ML models that enhance learners' performance and the delivery of education systems. The research aims to help solve the current problems of the growing need for individualized education interventions arising from student needs, high dropout rates and fluctuating academic performance. AI and ML can then analyze large data sets to recognize students who are at risk academically, gauge course completion and learning retention rates, and suggest interventions to students who may require them. The study occurs in a growing Computer-Enhanced Learning (CED) environment characterized by elearning, blended learning, and intelligent tutelage. These technologies present innovative concepts to enhance administrative procedures, deliver individualized tutorials, and capture students' attention. Using predictive analytics and intelligent tutors, AI tools can bring real-time student data into the classroom so that educators can enhance the yields by reducing dropout rates while increasing performance. Not only does this research illustrate the current hope and promise of AI/ML in the context of education, but it also includes relevant problems that arise in data privacy and ethics, as well as technology equality. To eliminate the social imbalance in its use, the study seeks to build efficient and accountable AI models and architectures to make these available to all students as a foundation of practical education. The students’ ideas also indicate that to prepare the learning environments of schools for further changes, it is necessary to increase the use of AI/ML in learning processes16 0Item Restricted People's Judgements About Autistic Students' Academic Performance Based on Brief Samples of Their Behaviours(University of Nottingham, 2024-03) Alhusayni, Afaf; Marsh, Lauren; Sheppard, ElizabethThe number of autistic students attending higher learning institutions is growing, but unfortunately, the majority of them do not complete their studies or are less likely to do so compared to non-autistic individuals (Ashbaugh et al., 2017). They demonstrate an increased incidence of repeating courses or dropping out (Dijkhuis et al., 2020). Studies have revealed that the intellectual demands of college do not pose substantial challenges to autistic students, but they struggle with social relationship and interpersonal competence issues, anxiety, stress, poor emotional regulation and difficulties in executive functioning (Brede et al., 2017; Dijkhuis et al., 2020). Therefore, it is critical to examine how communication and socialisation difficulties affect their academic life. In this series of studies, we investigated neurotypical perceptions about autistic university students' academic performance. In Study 1, we developed an experimental paradigm by recording brief samples of the participants' autistic and non-autistic target behaviours while they were writing about different life experiences. These videos were then shown to a group of non-autistic perceivers, who made judgements about the autistic students' academic life (success, motivation, happiness and grade). The findings suggest that autistic targets are judged more negatively in all academic aspects compared to non-autistic targets. In Study 2, we replicated these findings in a new target group and assessed the veracity of these negative judgements by comparing perceiver judgements to target self-reports. Autistic students faced more negative judgements in all aspects of academic life compared to non-autistic targets. Their motivation and happiness were underestimated, while non-autistic students were accurately perceived. However, both groups were unaware of how they were perceived, believing that they would receive more positive judgements. In Study 3, we examined how different social contexts under high-demand (social interaction and self-presentation) and low-demand conditions (writing) could affect autistic individuals' judgements of academic success. We recorded three types of video recordings featuring both autistic and non-autistic individuals. The targets were filmed while either filling out a questionnaire and interacting with the experimenter or introducing themselves to the camera after being informed about the study's objectives to determine whether such disclosures would influence the perceptions formed about them. The findings show that negative peer judgements persist in different social contexts and do not change based on the situations. In Study 4, we examined whether these judgements were extended to educators. The results demonstrate that academic staff hold less negative views of autistic students compared to the perceptions of non-autistic students and the general population. Overall, the findings indicate that negative peer judgements persist in higher education, although their consequences for academic attainment are still unknown.44 0Item Restricted Prevalence of Insomnia and Its Impact on Academic Performance Among Respiratory Therapy Students in Saudi Arabia (SA) and the United States of America (USA).(Saudi Digital Library, 2023-11-04) Alasimi, Ahmed H; Brandenberger, KyleBackground: Insomnia is a common sleep disorder characterized by difficulties falling asleep, staying asleep, or waking up early in the morning, along with significant distress and impairments of daytime functioning. It is a prevalent sleep complaint among health science students, due to an overburdened academic load, protracted intensive study periods, and stressful lifestyles to maintain an outstanding grade point average (GPA). Therefore, insomnia can adversely affect students' health and academic performance. Purpose: This study aimed to assess the prevalence of insomnia and its impact on academic performance among respiratory therapy students in Saudi Arabia (SA) and the United States of America (USA). Methods: A cross-sectional study was conducted between June 9 and September 12, 2023. Insomnia Severity Index (ISI) was distributed electronically to students' email addresses through direct coordination with RT department directors. Data were collected from RT students in both countries by using a non-probability convenience sampling technique. Descriptive statistics of the participants were presented in frequencies, percentages, means, and standard deviations. A one-way ANOVA test was used to measure the significant differences of ISI scores among categorical groups. Results: A total of 403 responses were received from both countries. The majority of them were from Saudi Arabia (79.9%) and (20.1%) from the United States. The study findings showed that the prevalence of insomnia among RT students in SA and the USA was found to be 32% and 21%, respectively. In addition, ISI scores were significantly higher among Saudi RT students who were female, in their second academic year, current smokers, single, and those with a poor cumulative GPA. However, ISI scores were significantly higher only among current smoker RT students in the USA. Conclusion: Insomnia was a prevalent sleep disorder among respiratory therapy students in both Saudi Arabia and the United States. Insomnia was negatively correlated with students' academic performance. Several demographic factors were significantly associated with a higher level of insomnia, including gender, academic year, smoking status, marital status, and GPA. Therefore, this study provides valuable insights for educational institutions and stakeholders to work collaboratively to implement tailored interventions and coping strategies that support students' healthy sleep habits, mental well-being, and academic achievement52 0