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Hui Shi; Yihang Zhou; Vanessa P. Dennen; Jaesung Hur – Education and Information Technologies, 2024
The imbalance in student-teacher ratio and the diversity of student population pose challenges to MOOC's quality of instructor support. An understanding of student profiles, such as who they are and how they behave, is critical to improving personalized support of MOOC learning environments. While past studies have explored different types of…
Descriptors: MOOCs, Behavior Patterns, Student Behavior, Cluster Grouping
Jessica L. Ledbetter – ProQuest LLC, 2021
Student misconduct continues to trouble institutions, negatively affecting institutional mission fulfillment. Although student codes of conduct and related processes exist to establish standards and address behavioral concerns, little research has proactively explored what characteristics impact student moral behavior intentions and understanding,…
Descriptors: Higher Education, Student Behavior, Student Characteristics, Behavior Problems
Tong Li; Chris Kirk; Leticia Oseguera – Journal of College Student Development, 2023
Academic achievement, often measured by GPA, has been extensively studied in the literature of science, technology, engineering, and mathematics (STEM) education, including its impact on student persistence and success in college (Rask, 2010). However, most research has only looked at students' performance at a single point in time, such as their…
Descriptors: STEM Education, Intention, College Students, Longitudinal Studies
Heidi Taveter; Marina Lepp – Informatics in Education, 2025
Learning programming has become increasingly popular, with learners from diverse backgrounds and experiences requiring different support. Programming-process analysis helps to identify solver types and needs for assistance. The study examined students' behavior patterns in programming among beginners and non-beginners to identify solver types,…
Descriptors: Behavior Patterns, Novices, Expertise, Programming
Chi-Tung Chen; Chih-Ming Chen; Hsiao-Ting Tsai – Interactive Learning Environments, 2024
This study utilised the instant semantic analysis and feedback system (ISAFS) to assist learners in the online discussion learning activities of socio-scientific issues (SSIs) and to document their learning process behaviours for behavioural analyses. The aim was to understand the learners' discussion behaviours during the ISAFS assisted learning…
Descriptors: Behavior Patterns, Electronic Learning, Discussion, Instructional Effectiveness
Yildirim, Denizer; Usluel, Yasemin – Australasian Journal of Educational Technology, 2022
This study aimed to examine the behaviour of learners across a whole system and in various courses to reveal the interrelation between learners' system interaction, age, programme features and course design. We obtained data from the system logs of 1,634 learners enrolled in distance learning programmes. We performed hierarchical clustering…
Descriptors: Interaction Process Analysis, Academic Achievement, Online Courses, Student Behavior
Norum, Reilly; Lee, Ji-Eun; Ottmar, Erin – Grantee Submission, 2022
This preliminary study examined whether distinct student profiles (N = 760) emerged based on their behavioral patterns in an online algebraic learning game. We applied k-means clustering analysis to clickstream data collected in the game and then examined how students' behavioral patterns varied across the clusters using data visualization. The…
Descriptors: Computer Games, Game Based Learning, Student Characteristics, Visual Aids
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
Tekin, Isil; Aydin, Selami – International Journal of Adult Education and Technology, 2022
Well-being is vital for university students regarding their short-term aims and long-term benefits in their academic, social, and professional lives. It is also evident that Instagram usage may relate to their well-being regarding relationships, connectedness, loneliness, interactions, socialization, social comparison, and emotional contagion.…
Descriptors: Well Being, Social Media, Student Behavior, Undergraduate Students
Radimer, Scott; Rowan-Kenyon, Heather – Journal of College Student Development, 2019
With this study we sought to contribute to the literature on issues with undergraduate college men and alcohol consumption. Undergraduate men at 5 institutions across the Northeast (N = 1,457) were surveyed to examine the relationships among masculine norms, ethnic identity, social dominance orientation, and alcohol behavior. Data were analyzed…
Descriptors: Males, Undergraduate Students, Drinking, Masculinity
Laura Brandt; Nishanthi J. Anthonipillai; Teresa López-Castro; Robert Melara; Adriana Espinosa – Journal of American College Health, 2024
This study explored substance use trajectories and associations with mental health among an ethnically/racially diverse college student sample before and during the COVID-19 pandemic. We combined repeated cross-sections and panel data from a total of 3,247 college students assessed with an online survey in 2018, 2019, and in three waves in 2020.…
Descriptors: Substance Abuse, Anxiety, Depression (Psychology), Correlation
Li, Liang-Yi; Tsai, Chin-Chung – Educational Technology Research and Development, 2020
This study developed a learning system that allows teachers to edit assignments designed to teach students the text structure strategy through the use of four phases: instructing, modeling, practicing, and reflecting. A 7-week instructional experiment was conducted in which 84 12th-grade students learned the text structure strategy using this…
Descriptors: Student Behavior, Behavior Patterns, Learning Analytics, Text Structure
Jeff Ford; Rachel Erickson; Ha Le; Kaylee Vick; Jillian Downey – PRIMUS, 2024
In this study, we analyzed student participation and success in a college-level Calculus I course that utilized standards-based grading. By measuring the level to which students participate in this class structure, we were able to use a clustering algorithm that revealed multiple groupings of students that were distinct based on activity…
Descriptors: Calculus, Mathematics Instruction, Mathematics Achievement, Grades (Scholastic)
Deng, Ruiqi; Benckendorff, Pierre; Gannaway, Deanne – Journal of Computer Assisted Learning, 2020
Prior studies of MOOC learners have focused almost exclusively on behavioural and social aspects of engagement. This paper extends the scope of previous studies by adopting a multi-dimensional, person-centred approach to investigate learner engagement in MOOCs. An analysis of 1,452 self-administered survey responses uncovered three prototypical…
Descriptors: Online Courses, Open Education, Outcomes of Education, Learner Engagement
Brown, Sarah A.; Menendez, David; Alibali, Martha W. – Grantee Submission, 2019
Why do people change their strategies for solving problems? In this research, we tested whether negative feedback and the context in which learners encounter a strategy influence their likelihood of adopting that strategy. In particular, we examined whether strategy adoption varied when learners were exposed to a target strategy in isolation, in…
Descriptors: Student Characteristics, Learning Strategies, Problem Solving, Feedback (Response)

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