Student Enrollment Research Articles

Solving the global STEM educational crisis using Cognitive Load Optimization and Artificial Intelligence–A preliminary comparative analysis

There is a persistent STEM educational crisis exemplified by low student enrolments, and both high failure and attrition rates. ChatGPT is easy to use, however pedagogical quality is not necessarily assured. In one experiment the output had a high cognitive load exacerbated by cognitive gaps making the material hard to teach and learn. ChatGPT is a useful pedagogical technology but not a learning theory. Science, technology and engineering all start by quantitatively modelling systems in order to make accurate and quantitative predictions prior to construction or system modification. By contrast, the current learning theories in use today are based on qualitative soft-science principles, with subjective guidelines that are open to interpretation, which can lead to wide variations in the quality of instructional materials and learning outcomes. Cognitive Load Optimization (CLO) is a new Science of Learning (SoL) theory that quantitatively models relational knowledge as coherent, contiguous, pedagogically scalable schemas optimized for the lowest cognitive load. CLO schemas represent the easiest, fastest and most efficient learning paths and are the fundamental basis of instructional design and teaching. Because CLO schemas are pedagogically scalable it is possible to create CLO schemas that are contiguous across different educational levels (school, college and university) thereby uniquely meeting the goals of the American National Science Foundation SoL (‘optimized learning for all’) and the Australian Grattan Institute (‘optimized learning from pre-school to university’). Using CLO results in significant improvements in STEM learning outcomes but is a detailed methodology that can be time consuming to use. The relative advantages and disadvantages of ChatGPT and CLO are highlighted.

REVOLUTIONIZING EDUCATION THROUGH AI: A COMPREHENSIVE REVIEW OF ENHANCING LEARNING EXPERIENCES

Artificial Intelligence (AI) is transforming the landscape of education, offering innovative solutions to enhance learning experiences. This review provides a comprehensive overview of how AI is revolutionizing education, focusing on its impact on learning outcomes, teaching methodologies, and the overall educational ecosystem. The adoption of AI in education has led to personalized learning experiences tailored to individual student needs. AI-powered adaptive learning systems analyze student performance data to create customized learning paths, ensuring that students receive content at their pace and level of understanding. This personalized approach improves student engagement and academic performance. AI is also reshaping teaching methodologies, providing educators with tools to streamline administrative tasks and enhance instructional strategies. AI-powered tools can automate grading, create interactive lessons, and provide real-time feedback to students. This allows teachers to focus more on facilitating learning and developing critical thinking skills in students. Furthermore, AI is revolutionizing the assessment process, moving beyond traditional exams to more dynamic and insightful evaluation methods. AI-powered assessment tools can analyze student responses in real-time, providing immediate feedback and insights into student comprehension and learning progress. The integration of AI in education also extends to administrative functions, such as student enrollment, scheduling, and resource allocation. AI-powered systems can optimize these processes, leading to more efficient and effective management of educational institutions. Despite the numerous benefits of AI in education, challenges remain, including concerns about data privacy, algorithmic bias, and the need for teacher training. Addressing these challenges will be crucial to maximizing the potential of AI in education and ensuring equitable access to quality education for all. In conclusion, AI is revolutionizing education by enhancing learning experiences, transforming teaching methodologies, and optimizing administrative processes. As AI continues to evolve, its impact on education is expected to grow, offering new opportunities to improve learning outcomes and prepare students for success in the digital age.
 Keywords: Revolutionizing, AI, Enhancing, Learning, Experiences.

Advertising a school’s merits in Hong Kong: weighing academic performance against students whole-person development

AbstractAgainst the background of expanding parental choices and declining global birth rates, schools are experiencing rising competition regarding student enrolment. Schools have responded by strategically presenting information about their students’ academic achievement and whole-person development orientation in the hope of attracting parents’ interest. However, few studies have investigated the impact of these factors on student enrollment, particularly in the context of diverse school types and educational orientations. Accordingly, this study utilized data from 327 secondary schools in Hong Kong to examine the effects of academic achievement orientation and whole-person development orientation on student intake. Using hierarchical regression analysis, we found a positive association between high whole-person development orientation and student intake in aided schools with a strong academic development orientation. The result implies parents are increasingly concerned about their children’s academic achievement and whole-person development at school. The study contributes to a broader understanding of the factors influencing parental choice in high-performing education systems, providing valuable insights for policymakers and educators seeking to improve educational offerings, enhance school transparency, and be better aligned with parental expectations.

Medical education in Mongolia: Challenges and opportunities.

In the early twentieth century, Mongolia saw the establishment of Western medicine and educational system, supplementing its pre-existing history of eastern medicine. As a lower-middle-income country with vast landmass and low population density, Mongolia's medical education landscape has evolved significantly. The inception of the Mongolian National University of Medical Sciences in 1942 marked a pivotal moment, initiating the modern era of medical sciences and specialized training programs in the country. Initially shaped by Soviet Union-styled medical curriculum, the system has undergone substantial reform since the constitutional shift to a market economy in the 1990s. This transformation aligned the curriculum with international standards and modern educational approach, focusing on producing skilled medical professionals. Presently, over 10 public and private institutions of higher education in Mongolia provide comprehensive undergraduate, graduate and post-graduate training for medical training. These institutions vary in student enrollment, teaching staff, learning environments, and program models, contributing to the diverse landscape of medical education in the country.

Campus Management System

The Campus Management System (CMS) represents a pivotal advancement in educational technology, offering an integrated software solution tailored to the complex needs of modern educational institutions. This comprehensive system is designed to revolutionize administrative tasks, enhance efficiency, and foster a more organized campus environment. Through seamless automation of various processes, CMS empowers administrators, faculty, and students to navigate campus operations with ease. Utilizing Full Stack Development, CMS ensures seamless integration of front-end and back-end components, resulting in a user-friendly interface accessible to all stakeholders. This approach streamlines administrative tasks, simplifying processes such as student enrolment, course management, and resource allocation. Furthermore, CMS harnesses the power of Machine Learning (ML) algorithms to optimize key processes. These ML algorithms enable intelligent automation of tasks such as resume evaluation, eligibility criteria assessment, and course recommendations based on student performance. By analyzing vast amounts of data, CMS empowers institutions to make data-driven decisions, enhancing the overall educational experience for students. The integration of technology within educational institutions through CMS represents a significant step forward in campus management. By leveraging Full Stack Development and Machine Learning algorithms, CMS offers a robust solution to the challenges faced by modern educational institutions, ultimately paving the way for a more efficient, effective, and student-centric campus environment.

Enhancing Business Sustainability Through Technology-Enabled AI: Forecasting Student Data and Comparing Prediction Models for Higher Education Institutions (HEIs)

This study aims to enhance business sustainability in the context of Higher Education Institutions (HEIs) by utilizing AI and forecasting techniques. It explores the development and comparison of prediction models, including the use of dashboard development, to support decision-making processes within HEIs. The study covers various aspects, including the background of forecasting and prediction models, the use of specific models such as the Prophet Model, Long Short-Term Memory (LSTM) Model, and Polynomial Regression Model, as well as the importance of dashboards for HEIs. The methodology section outlines the data collection and preparation process, model selection, approach, diagrams, functional and non-functional requirements, justification of tools, and libraries and models used. The implementation section delves into the system design and development of the dashboard, including the login page, homepage, forecast page, and insert data page. As for the findings, the LSTM Model has proven to be the most accurate and suitable model to be implemented for forecasting student enrolment data in this study. The dashboard's future enhancements involve adding more faculties, predictive features for resource allocation, refining the visual identity, improving user registration on the login page, and exploring better models for student enrolment predictions. Overall, the study provides valuable insights into the application of AI and forecasting techniques in HEIs, aiming to enhance business sustainability and decision-making processes. It contributes to the growing body of knowledge on the use of technology-enabled AI in higher education institutions, with a focus on forecasting student enrolment data and developing prediction models.

Hate Crimes and Black College Student Enrollment

Abstract Reported hate crimes in the United States have increased rapidly in recent years, alongside an increase in general racial animus. Scholars have shown that the larger sociopolitical environment can directly impact the campus climate and experiences of all students, particularly students of color. However, little is known about how reports of hate crime incidents relate to college enrollment levels of students of color. This lack of evidence has especially troubling implications for Black people, the most frequent targets of reported hate crimes. This paper helps to fill in that gap by exploring the association between the number of reports of hate crimes within states and Black students’ college enrollment. We examine a comprehensive dataset of institutional enrollment and characteristics, reported hate crimes, and census data on state racial demographics from 2000 to 2017 using several techniques, including institution fixed effects. We find that a 1 standard deviation increase in reports of state-level hate crimes predicts a 17 to 22 percent increase in Black first-time student enrollment at historically Black colleges and universities. As the number of reported hate crimes is almost assuredly an undercount of the actual number of incidents, we explore the implications of what these results mean.

No Cost and Low Cost Schedule Designation and Student Enrollment Behavior at Oregon Community Colleges and Public Universities

No Cost and Low Cost Schedule Designation and Student Enrollment Behavior at Oregon Community Colleges and Public Universities

Affordability of Higher Education in South Africa

This article investigates why South African universities increased their tuition fees above inflation during the period 2010 to 2019 (intentionally excluding the potential distortion caused by COVID-19). The affordability of higher education is the subject of increased debate among stakeholders in South Africa. From a financial point of view, universities, as typical service organisations, should have benefited from an increase in enrolments. The main reason is that their expenses are typically period costs and are hence less affected by an increase in enrolments. However, the key findings of the study on which this article is based were that revenue increased above inflation, with tuition fees the main culprit. In turn, the reason for increased tuition fees is a significant increase in expenses. This suggests that universities did not benefit from economies-of-scale or efficiency in managing their expenses. The research makes a unique contribution to the body of knowledge by assessing why university tuition fees increased using a financial model to project budgeted revenue, expenses and tuition fees (taking inflation and growth in student enrolments into account) for 2019 using actual financial data from 2010.

Implementation in Improving Mathematics Learning Outcomes of the Elementary School Students Using Make a Match Cooperative Learning Model

This study employs a qualitative methodology with a descriptive approach to examine the mathematics learning outcomes of elementary school students utilizing the Make a Match cooperative learning model. The participants include fifth-grade students from class VB and their homeroom teacher at the elementary school under investigation. Qualitative data collection involves direct observation and analysis conducted on-site. Data were gathered through observations and interviews with fifth-grade teachers at SD Negeri 55 Palembang, utilizing both primary and secondary sources. The secondary data encompassed various aspects related to the research focus, such as educational facilities, infrastructure, student enrollment, among others, obtained through document analysis. However, secondary data were not utilized in this research. Data collection methods encompassed observation, interviews, and documentation. To ensure data validity, a two-stage process involving observation protocols and alternative data validity analysis techniques was implemented. Data analysis techniques included data reduction, presentation, and drawing conclusions. The findings, based on observations and interviews conducted on Monday, January 15, 2024, at SD Negeri 55 Palembang with class VB students, revealed a notable issue: a lack of implementation of the Make a Match cooperative learning model by teachers. The study highlights the significant impact of this cooperative learning model on student learning outcomes, emphasizing its potential for fostering positive student engagement, motivation, and direction within the learning process.

ERANDA PATRA (Ricinus communis L.) AS A KRIMIGHNA DRAVYA (ANTIMICROBIAL DRUG) WITH SPECIAL REFERENCE TO ESCHERICHIA COLI BACTERIA- AN IN VITRO STUDY

One of the Department of Educations (DepEd) programs is the K-12 program. They extended it for two more years to give students more time to consider their options for the future. The Senior High School (SHS) program had four tracks: Arts and Design, Sports, Technical and Vocational, and Academic, which included the Science Technology Engineering and Mathematics (STEM) strand. STEM is understood to be an integral part of math and science courses at the school level. It also contributed to the development of 21st-century abilities for all learners. This study determined the status of STEM students in the Philippines. Through descriptive research, this study described and analyzed the trends in the enrolment of STEM students as well as the factors that explain the dropout rate of STEM students. The data under this study came from a trusted source, which is the Department of Educations reports of enrollment from 2016- 2021. The enrollment rate and completion rate of SHS-STEM students are steadily increasing year after year. Thus, different intervention activities were proposed to address the identified factors that led to students dropping out of the STEM track. In addition, the findings of this study were used to improve the STEM strands implementation in SHS and helped future generations as well as the Department of Education in the effective implementation of STEM education across the country. KEYWORDS: STEM, Department of Education, SHS, Enrollment rate, Completion rate.

Intercultural Sensitivity as a Factor in Perceived Culturally Responsive Teaching of Teachers in Northern Thailand

This study examined the relationship of teachers’ intercultural sensitivity to their in-class culturally responsive teaching. A total of 168 teachers with teaching experience in multicultural classrooms in northern Thailand answered a questionnaire with two psychological scales: the intercultural sensitivity scale and the culturally responsive teaching practice scale. To supplement quantitative findings, 19 teachers from the total number of participants were included in the semi-instructed interview. By conducting factor analysis, intercultural sensitivity perceived by teachers with multicultural facilitation experience in northern Thailand was extracted into three components: interaction engagement, interaction confidence, and respect for cultural differences. The results from structural equation modelling indicate that teachers’ intercultural sensitivity significantly affects teachers’ perceived culturally responsive teaching practices with the largest coefficient size. This study also discussed the associations between teachers’ culturally responsive teaching practices and other significant background factors based on the local context, including school size, non-local student enrolment frequency, overseas travel experience, and the existence of intercultural colleagues.

The role of rankings in shaping the institutional enrollment of international students

The role of rankings in shaping the institutional enrollment of international students

Leaving no one behind: Leveraging support to promote access with success in post-graduate studies

Postgraduate student enrolment at South African universities has increased significantly. While this is commendable, it has raised concerns about low success rates. Various scholars have identified under-preparedness, supervision challenges, mental health issues and funding, among other factors, that contribute to the post-graduate success crisis. We believe that post-graduate support services have a significant role to play in dealing with this success crisis. Therefore, in this article, we present a two-fold argument about post-graduate support in South African universities. Firstly, we argue that universities have prioritised support services aimed primarily at undergraduate students, with insufficient support at the post-graduate level, and this has negative implications for post-graduate students’ well-being, success and, ultimately, the knowledge-creating project in the South African higher education context. In so doing, we also highlight some of the gaps as potential areas of improvement in existing postgraduate support services. Secondly, we argue that improved support for postgraduate students requires well-coordinated and collaborative efforts between multiple stakeholders: supervisors, students and university support services, among others. In this way, this article contributes to the body of knowledge on access with success, illuminating the value of support in, and the intricacies of, post-graduate studies.

The Role and Impact of Private Higher Education Institutions on South Africa's Educational Sector: A Comprehensive Analysis

This study presents a comprehensive analysis of the role and impact of private higher education institutions on South Africa's educational sector. Private institutions have gained prominence in recent years, raising questions about their influence on the overall educational landscape. To address this, a mixed method approach was employed, combining a quantitative analysis, and a comparative analysis. Quantitative analysis examined student enrollment trends, graduation rates, and staffing in private higher education institutions, comparing them with public institutions to assess the influence of private institutions on key educational indicators. The comparative analysis on the other hand, compared the student employability and curricula in private institutions. The literature review analyzed the differences in quality, diversity student support services, leadership, and challenges of PHIEs. This comprehensive analysis contributes to understanding the complex dynamics of private institutions in South Africa's educational sector. It sheds light on their influence on educational quality, student enrollment, accessibility, and the overall educational landscape. The findings inform policymakers, educators, and stakeholders, facilitating evidence-based decision-making to further enhance the educational sector in South Africa.

AI in Educational Management

Artificial Intelligence (AI) is creating quantum waves in almost every field of learning, including education. The present times come with a lot of requirements that demand precision and patience, so as to be able to resolve impending issues on time, with minimum errors. That’s where AI takes over to abridge the crucial need for problem-solving and apt decision-making in organizations. The role of AI has not been virtually defined in the books for educational management institutions but is definitely not lagging behind in proving it’s worthwhile and efficiency. Every technology comes with its share of pros and cons. Nevertheless, this research paper tries to address the application of AI in the educational management which strives to explore how procedures w.r.t student enrolment, engagement, retention, facilitating learning and achieving cost effectiveness can be explored. However, the flip side of the study also defaces the ethical bindings, biases that are ignored and the desperate need to have manpower enrolled into periodic sessions of training and development.

The Impact of Visa Policy on Higher Education International Students

The globalization of higher education has led to unprecedented mobility among international students, transforming the educational landscape and posing intricate challenges influenced by visa policies. This research delves into the intricate interplay between visa regulations and the encounters of international students in higher education. By meticulously analyzing historical trends, government motivations, and the multifaceted impact on enrollment figures, economic landscapes, and social experiences, this study uncovers the nuanced realities of international student mobility. The significance of this research lies in its potential to inform policy frameworks and institutional strategies. Understanding the subtle dynamics of visa policies is not merely academic. It shapes the cultural, economic, and educational fabric of nations. As international student enrollment becomes increasingly competitive, comprehending the implications of visa policies becomes imperative.  This study contributes a holistic perspective, bridging gaps in existing knowledge, and providing a foundation for policymakers, educators, and institutions to create inclusive, supportive environments for international students. The insights garnered here illuminate the path toward balanced visa policies that foster global academic exchange while respecting national security concerns, ensuring a vibrant, diverse, and thriving international higher education community.

Acceptance of Students with Physical Disabilities in Medical Schools in Saudi Arabia: Perception, Experience, and Recommendation.

Physical disability is seen as a burden in many countries, and it has been a challenge to create a healthy environment and a fair living experience for all people with physical disability. For a long time, the number of students accepted to medical school has been limited, and the number of successful experiences for doctors with disabilities is inadequate worldwide. This study aims to investigate the perception of the public, medical educators, and medical students about the acceptance of students with physical disabilities in medical schools in Saudi Arabia. The study uses two methodological strategies: a quantitative cross-sectional survey and a qualitative interview with a young female doctor with a physical disability to discuss her educational experience and work journey in Saudi Arabia and abroad. The study was conducted at the College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia. The perception survey results showed a broad acceptance of the public, medical educators, and medical students regarding the enrollment of students with physical disabilities in medical schools and regarding being treated by doctors with physical disabilities. The participants also believed that students with physical disabilities are compatible with most doctors' jobs. Students with physical disabilities should be able to study and practice medicine. Educational and health institutions should apply more effort and commitment to provide the necessary accommodations to accept students and doctors with physical disabilities based on their cognitive ability but not their physical disability.

A Multi-Point Call to Action for Diversifying Student Enrollment in Theatre Programs: The Framework for Providing Pathways Toward Building an Inclusive Culture

Abstract The March 2019 issue of The Association of American Colleges and Universities reported that, in the twenty-year span between 1996 and 2016, student enrollment of non-white-identifying students increased by over 15 percent. However, according to Ben Dedman, “While the racial and ethnic make-up of students in higher education has become more diverse, ‘college faculty, staff, and administrators remain predominantly white.’” Today’s academics are not unsympathetic to the challenges of diversifying a student body and often look to expand their own diversity in appealing to the nation’s young people. Unfortunately, this perspective on diversification has proven much too simplistic to generate any substantive impact in increasing the inclusion of underrepresented groups. This article seeks to put forward a comprehensive but not exhaustive collection of recommendations to be considered in the areas of leadership and pedagogy, in part or in its entirety, in order to ensure the most audacious effort has been made to achieve this goal.

Next-generation leadership for sustainability and avoidance of closure in private Madaris in Bangsamoro autonomous region in Muslim Mindanao

This study comprehensively analyzes the Madrasah educational landscape, examining demographic profiles, leadership practices, sustainability commitment, contributions, and challenges and opportunities within these institutions. The research reveals a diverse and dynamic scenario influenced by varied factors. The Demographic Profile illustrates a versatile distribution across designations, education levels, gender, service years, and student enrollment, emphasizing the multifaceted nature of Madrasah roles. School Directors predominate, underscoring the need for adaptable leadership. Educational Attainment shows a rich academic environment with a prevalence of Bachelor's Degrees and variability from higher qualifications, contributing to a nuanced educational setting. Gender Distribution demonstrates near-equal representation, reflecting a commitment to inclusivity and gender balance within Madrasahs. Years in Service identifies a prevalent service duration of "11-20 Years," indicating an experienced workforce. Several student analyses highlight the variability in student populations, with a mean count of 5, signifying diverse institution sizes. Leadership Practices emphasize next-generation qualities like Islamic values, bilingual proficiency, and ethical decision-making. Consensus on visionary, adaptable, inclusive, and ethically grounded leadership underscores their significance. Sustainability and Institutional Viability reveal a varied commitment, urging increased dedication. Contributions to sustainability show diverse effectiveness levels. Challenges include financial struggles, resource inadequacy, enrollment fluctuations, and socio-cultural factors. Opportunities encompass continuous learning, financial support, collaboration, and addressing enrollment challenges. The study stresses the need for effective leadership, financial stability, and collaboration, urging a comprehensive approach to sustainable Madrasah education. Findings form a robust foundation for future research and interventions, guiding enhancements in sustainability, overcoming challenges, and fostering continuous improvement.