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Yuan Liu; Yongquan Dong; Chan Yin; Cheng Chen; Rui Jia – Education and Information Technologies, 2024
The open online course (MOOC) platform has seen an increase in usage, and there are a growing number of courses accessible for people to select. An effective method is urgently needed to recommend personalized courses for users. Although the existing course recommendation models consider that users' interests change over time, they often model…
Descriptors: MOOCs, Online Courses, Models, Course Selection (Students)
Yufeng Wang; Dehua Ma; Jianhua Ma; Qun Jin – IEEE Transactions on Learning Technologies, 2024
As one of the fundamental tasks in the online learning platform, interactive course recommendation (ICR) aims to maximize the long-term learning efficiency of each student, through actively exploring and exploiting the student's feedbacks, and accordingly conducting personalized course recommendation. Recently, deep reinforcement learning (DRL)…
Descriptors: Electronic Learning, Student Interests, Artificial Intelligence, Intelligent Tutoring Systems
Coltvet, Jennifer – ProQuest LLC, 2023
This study explored the math course taking patterns of Nebraska's secondary students from 2014-2020 using statewide data. Three course taking patterns were identified and examined. There are nuanced differences through these pathways based and race and gender. Student success through the pathways is dependent on course placement in the first year…
Descriptors: High School Students, Course Selection (Students), Mathematics Instruction, Racial Differences
Chi-Ning Chang; Shuqiong Lin; Oi-Man Kwok; Guan Kung Saw – Journal for STEM Education Research, 2023
Despite the increasing demand for professionals in science, technology, engineering, and mathematics (STEM), only a small portion of young people in the USA pursue a postsecondary degree in STEM. To identify the major predictors of STEM participation, this study uses a machine learning approach, a Classification and Regression Tree (CART), to…
Descriptors: High School Freshmen, STEM Education, Majors (Students), Course Selection (Students)
Sovansophal Kao; Phal Chea; Sopheak Song – Educational Research for Policy and Practice, 2024
This study aims to investigate the characteristics of students who switch versus those who do not switch when they transition from upper secondary to higher education. The data from 1338 students randomly selected from 21 HEIs in Cambodia in 2020 found that upper secondary school students are more likely than not to switch academic majors when…
Descriptors: Majors (Students), Student Characteristics, Course Selection (Students), Foreign Countries
Ibrahim Bicak – Research in Higher Education, 2024
This study describes course withdrawal behaviors in the Texas public higher education institutions and examines the predictors of course withdrawal by using statewide administrative datasets. The findings showed that two-thirds of the college students in the sample withdrew from at least one course, highlighting course withdrawal as a prevalent…
Descriptors: Withdrawal (Education), College Students, Community College Students, Transfer Students
M. A. Dijks; M. J. Warrens; H. Korpershoek; R. J. Bosker – Educational Research and Evaluation, 2024
Subject choices in secondary education are important decisions, since they critically determine the tertiary fields of study that pupils can pursue. Multiple variables may play a role in pupils' decisions, such as their social environment and attitudes. The current study investigated subject choice intentions using the Theory of Planned Behavior…
Descriptors: Foreign Countries, Secondary Education, Course Selection (Students), Student Attitudes
Amir Narimani; Elena Barberà – International Review of Research in Open and Distributed Learning, 2024
As education has evolved towards online learning, the availability of learning materials has expanded and consequently, learners' behavior in choosing resources has changed. The need to offer personalized learning experiences and content has never been greater. Research has explored methods to personalize learning paths and match learning…
Descriptors: Electronic Learning, Online Courses, Artificial Intelligence, Course Selection (Students)
Rasmus Mannerström; Anne Haarala-Muhonen; Anna Parpala; Telle Hailikari; Katariina Salmela-Aro – European Journal of Psychology of Education, 2024
Research suggests that the reported increase in student mental health issues such as study burnout might be related to students' identity problems and their motivations for undertaking higher education. The present study added to this line of research by investigating the associations between identity profiles, motives for attending university and…
Descriptors: Foreign Countries, Mental Health, Self Concept, Burnout
Karen D. Wang; Jake McCool; Carl Wieman – Journal of Research in Special Educational Needs, 2024
Neurodivergent students exhibit an inclination towards Science, Technology, Engineering and Mathematics (STEM) fields, yet their learning experiences in STEM courses remain underexamined. Utilizing an online survey of neurodivergent (n = 60) and neurotypical (n = 83) US college students, this study identified various factors influencing their…
Descriptors: College Students, STEM Education, Student Experience, Student Attitudes
Dimitra Kokotsaki; Helen Whitford – British Journal of Music Education, 2024
The study aimed to investigate how students in lower secondary schools in England perceive the subject of music in terms of its importance and enjoyment. Following findings from the first survey phase of the project, it specifically sought to shed light on the reasons why the majority of students decide not to choose music as one of their optional…
Descriptors: Student Attitudes, Music Education, Barriers, Secondary School Students
Deepak, Gerard; Trivedi, Ishdutt – International Journal of Adult Education and Technology, 2023
Recommender systems have been actively used in many areas like e-commerce, movie and video suggestions, and have proven to be highly useful for its users. But the use of recommender systems in online learning platforms is often underrated and less likely used. But many of the times it lacks personalisation especially in collaborative approach…
Descriptors: Learning Strategies, Artificial Intelligence, Information Systems, Algorithms
Zankadi, Hajar; Idrissi, Abdellah; Daoudi, Najima; Hilal, Imane – Education and Information Technologies, 2023
Interests play an essential role in the process of learning, thereby enriching learners 'interests will yield to an enhanced experience in MOOCs. Learners interact freely and spontaneously on social media through different forms of user-generated content which contain hidden information that reveals their real interests and preferences. In this…
Descriptors: Students, Social Media, Content Analysis, Interests
Nergiz Ercil Cagiltay; Sacip Toker; Kursat Cagiltay – Open Praxis, 2024
Massive Open Online Courses (MOOCs) now offer a variety of options for everyone to obtain a high-quality education. The purpose of this study is to better understand the behaviours of MOOC learners and provide some insights for taking actions that benefit larger learner groups. Accordingly, 2,288,559 learners' behaviours on 174 MITx courses were…
Descriptors: MOOCs, Behavior Patterns, Gender Differences, Age Differences
Burcu Kalkanoglu – International Journal of Education and Literacy Studies, 2024
In this study, it was aimed to examine student views on music education in theater departments. Case study model, which is one of the qualitative research methods, was used in the research. The study group within the scope of the research consists of 10 undergraduate-II students of Trabzon University State Conservatory Performing Arts Department.…
Descriptors: Foreign Countries, Music Education, Theater Arts, Undergraduate Students

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