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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
Esteban Villalobos; Isabel Hilliger; Carlos Gonzalez; Sergio Celis; Mar Pérez-Sanagustín; Julien Broisin – Journal of Learning Analytics, 2024
Researchers in learning analytics have created indicators with learners' trace data as a proxy for studying learner behaviour in a college course. Student Approaches to Learning (SAL) is one of the theories used to explain these behaviours, distinguishing between deep, surface, and organized study. In Latin America, researchers have demonstrated…
Descriptors: Learning Analytics, Academic Achievement, Role Theory, Learning Processes
Senad Becirovic; Mersad Dervic; Boris Mattoš – SAGE Open, 2025
This research seeks to investigate the variables that might affect university-level students' internet habits, their e-learning self-efficacy and academic achievement in a technology-enhanced teaching and learning environment. To attain the aforementioned objective the Information System Success (ISS) and Technology Acceptance Model (TAM) were…
Descriptors: College Students, Behavior Patterns, Internet, Self Efficacy
Tianchen Sun – ProQuest LLC, 2023
Students spend little time completing tasks when deadlines are far off; however, they tend to increase their work amounts as deadline approaches. This phenomenon, which is called deadline rush, can be modeled by exponential distributions. Deadline reactivity, represented by a rate parameter of the exponential distribution, parameterizes individual…
Descriptors: Time Management, Decision Making, College Students, Educational Environment
Jing Liu; Xuanyu Zhu; Chong Huang; Yujie Wang; Liyan Chang – Innovations in Education and Teaching International, 2024
With the widespread implementation of COVID-19 prevention and control measures during the pandemic, online classes have become a normal and indispensable part of college students' lives. Analysis of the factors affecting college students' behavioural intention towards online classes will help improve online class quality. This paper sets up a…
Descriptors: College Students, Student Motivation, Electronic Learning, Distance Education
Li, Yue; Jiang, Qiang; Xiong, Weiyan; Zhao, Wei – Education and Information Technologies, 2023
One of the recognized ways to enhance teaching and learning is having insights into the behavior patterns of students. Studies that explore behavior patterns in online self-directed learning (OSDL) are scant though. In addition, the focus is lacking on how high-achieving (HA) students' behavior patterns affect the academic performance of…
Descriptors: Student Behavior, Behavior Patterns, Electronic Learning, Online Courses
Balti, Rihab; Hedhili, Aroua; Chaari, Wided Lejouad; Abed, Mourad – Education and Information Technologies, 2023
Since the COVID pandemic, universities propose online education to ensure learning continuity. However, the insufficient preparation led to a major drop in the learner's performance and his/her dissatisfaction with the learning experience. This may be due to several reasons, including the insensitivity of the virtual learning environment to the…
Descriptors: Cognitive Style, Pandemics, COVID-19, Distance Education
Sahin, Muhittin; Ifenthaler, Dirk – International Association for Development of the Information Society, 2022
Within digitally-supported learning environments, learners need to observe themselves so that they can reflect on their strengths and weaknesses and take a step toward autonomous learning. Within the scope of this research, a technology and analytics enhanced assessment environment in which students can assess themselves was implemented and…
Descriptors: Foreign Countries, College Students, Behavior Patterns, Learning Processes
Jeynes, William H. – Education and Urban Society, 2022
The meta-analysis, that included 75 studies, examined the relationship between illegal drug consumption, on the one hand, and student academic and behavioral outcomes, on the other, for the middle school to college grade levels. The meta-analysis first (research question #1) addressed whether there is a statistically significant relationship…
Descriptors: Middle School Students, High School Students, College Students, Drug Use
Çebi, Ayça; Güyer, Tolga – Education and Information Technologies, 2020
In this study, students' interactions with different learning activities are examined and the relation among learning performance with different interaction patterns, learning performance, self-regulated learning (SRL) strategies and motivation is presented. Learning materials including different kinds of activities are prepared and presented to…
Descriptors: Interaction, Behavior Patterns, Learning Analytics, Electronic Learning
Wu, Wen-Chi; Lin, I.-Ting; Chen Hsieh, Jun – Asia-Pacific Education Researcher, 2023
The knowledge of English idioms is essential for advanced English learning and application, particularly for English-as-a-foreign-language (EFL) learners. While studies have shown the benefits of mobile-assisted language learning (MALL) to facilitate English learning, few studies have examined the factors that may influence MALL in light of…
Descriptors: Foreign Countries, English, Language Patterns, Learning Modalities
Lemay, David John; Bazelais, Paul; Doleck, Tenzin – Education and Information Technologies, 2020
Previous research has produced contrasting findings regarding the influence of social networking on academic performance. Many have found negative relationships but some have also demonstrated a positive effect for social networking on academic performance. Still others report no links between social networking and academic performance.…
Descriptors: Social Networks, Academic Achievement, Correlation, College Students
Hoppenfeld, Jared; Graves, Stephanie J.; Sewell, Robin R.; Halling, T. Derek – Public Services Quarterly, 2019
Sedentary behavior has increased over the last several decades, and this has led to major life-threatening health issues. Texas A&M University Libraries has introduced an innovative idea in three of their buildings. This case study highlights the implementation of Bike Desks at an academic library while offering strategies for other libraries…
Descriptors: Physical Activities, Academic Achievement, Academic Libraries, Furniture
Aquino, Katherine C.; BuShell, Shawna – Journal of Continuing Higher Education, 2020
For blended and fully online learning environments, the appropriate device usage and application, as well as students' perceived comfort with technology, may influence their success within the e-Learning setting. Additionally, institutional awareness of student technology needs--including student support needs as they relate to accessible…
Descriptors: Electronic Learning, Handheld Devices, Assistive Technology, Inclusion
Liu, Zhi; Zhang, Wenjing; Cheng, Hercy N. H.; Sun, Jianwen; Liu, Sannyuya – International Journal of Distance Education Technologies, 2018
As an overt expression of internal mental processes, discourses have become one main data source for the research of interactive learning. To deeply explore behavioral regularities among interactions, this article firstly adopts the content analysis method to summarize students' engagement patterns within a course forum in a small private online…
Descriptors: Discourse Analysis, Correlation, Academic Achievement, Learner Engagement