No description available.

No description available.

No description available.

No description available.

No description available.

No description available.

No description available.

Recently, distance education has become popular and has gotten much attention. Information and Communication Technology advances fostered distance learning creation and enabled individuals to participate in the education process via various web-based platforms and study entirely online. Thus, the notion of e-learning and distance learning emerged. Massive Open Online Courses (MOOCs) appeared as part of e-learning in 2008 and attracted great interest, especially during the COVID-19 pandemic. It was anticipated that this kind of study also could be integrated into higher education and revolutionize the learning approach. However, several issues related to MOOCs limit their full potential. One of the most significant problems is substantial rate of learners’ attrition. It was discovered that only 5-10 percent of MOOC learners complete a course. This thesis aims to examine what influences individuals’ decision to leave MOOCs and how learners perceive various course components to get ideas regarding how MOOCs could be enhanced. To do this, the mixed-method study was undertaken where quantitative data analysis of learners’ reviews from discussion forums and qualitative interviews were adopted. It allowed to get two perspectives and broaden the thesis out- come. For the current research, data was collected from six courses in three different subjects-«Health», «Art and Humanity/Design» and «Computer/Data Science». In the first part of the work, sentiment analysis and topic modeling using Python packages were carried out, and then the results were used to construct an interview questionnaire. Lexicon-based sentiment analysis technique and LDA topic modeling algorithm were utilized and proved to be robust methods to extract texts’ polarity and peoples’ opinions. In the qualitative part, 19 topics of discussion were identified, which were consolidated into eight topics with higher abstraction – materials, instructor, content, time, assignment, feedback, program(course), and algorithms. Then during the qualitative part, participants expressed their opinions regarding these topics, and analysis codes were predefined, and new topics did not emerge. The results showed learners’ perceptions related to presented topics and how these aspects influence experience with MOOCs. The outcome also showed a slight disparity between different subject learners, in both qualitative and quantitative studies identified topics of discussion were not exactly the same, showing that learners from different educational domains tend to discuss different themes.

<p>Mathematics departments at Canadian universities accept yearly many international graduate students, who are aiming for the MSc and PhD degrees offered by those departments. This study seeks to understand the difficulties faced by some of those students at English-speaking Canadian universities. Its main aim is to determine why some international graduate students struggle with mathematics courses at a graduate level, even though their academic achievement in their home countries may have been high. In this study we want to know whether this problem is related to language barriers, to the time gap between the last acquired degree and the current one, to the educational systems to which students have been exposed in their countries of origin, or to other reasons. I interviewed twelve international graduate students fromMcMasterUniversityandUniversityofGuelphas well as three faculty members from the Department of Mathematics and Statistics atMcMasterUniversity. The students who participated come from different countries:Russia,Belarus,Slovakia,Pakistan,India,Bangladesh,Turkey,Iran,China, andSaudi Arabia. While some of those countries seem to have similar cultures and life styles, others are distinctly different. The interviews helped me to draw a deeper perspective about the problem by exploring the reasons that hamper some of those students from succeeding in their courses, and asking the participants to provide their suggestions to other students and faculty members on how to eliminate these obstacles. This study helps to improve the academic graduate programs of the department of mathematics by adjusting to students’ needs and enhancing their learning outcomes. It also suggests to international graduate students to discover and examine their weaknesses and prepare themselves academically to fulfill the requirements of their programs.</p> / Master of Science (MSc)

Increasing the number of students of color in Science, Technology, Engineering and Math (STEM) fields is critical for America’s economic, technological and scientific advancement, yet many are less likely to enter or persist. National efforts to decrease racial differences in STEM have been ongoing but their outcomes have not markedly broadened participation. Under-examined is the role of students’ STEM-specific identities, such as their math identity, on their STEM outcomes. Qualitative findings suggest learning mathematics is a racialized form of experience where students’ math identities and educational opportunities are shaped by race-based narratives of math ability. However, this hypothesis has not been tested with rigorous empirical evidence. Moreover, the role of students’ learning opportunities on actual outcomes is unclear. Using data from the High School Longitudinal Study of 2009 (HSLS: 09), this study examines the role of math identity and other math attitudes in racial differences in four STEM-related outcomes: advanced math course enrollment, math behavioral and emotional engagement, and STEM career aspiration. Guided by a sociological perspective, I also examine the degree to which students’ school-contexts effect their outcomes and experiences. Lastly, drawing from intersectionality theory, I offer insight into how the inclusion of race and gender interactions change model results. The findings suggest that there are racial differences in mathematics identity, behavioral and emotional engagement, and school characteristics. However, math identity was not a significant predictor of math course enrollment and had little impact on the other outcome variables when student background and school characteristics are considered. The findings also illustrate how learning opportunities are allocated in ways that mirror the race-based hierarchy of math ability. I conclude by describing the study’s implications for policy and future research. / Urban Education