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Di Sun; Gang Cheng; Heng Luo – Interactive Learning Environments, 2024
Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science, MOOCs
Osipenko, Maria – Education and Information Technologies, 2022
A data-driven model where individual learning behavior is a linear combination of certain stylized learning patterns scaled by learners' affinities is proposed. The absorption of stylized behavior through the affinities constitutes "building blocks" in the model. Non-negative matrix factorization is employed to extract common learning…
Descriptors: Behavior Patterns, Models, Undergraduate Students, Preferences
Ma, Boxuan; Lu, Min; Taniguchi, Yuta; Konomi, Shin'ichi – Smart Learning Environments, 2022
With the increasing use of digital learning materials in higher education, the accumulated operational log data provide a unique opportunity to analyzing student learning behaviors and their effects on student learning performance to understand how students learn with e-books. Among the students' reading behaviors interacting with e-book systems,…
Descriptors: Behavior Patterns, Electronic Publishing, Books, Reading Processes
Joe Olsen; Debbie Andres; Nicolette Maggiore; Charles Ruggieri – Physical Review Physics Education Research, 2023
Understanding how relationships between instructors and students develop is important for understanding the undergraduate student experience. We expect the development of positive relationships is related to the social practices (e.g., greetings, using names, sympathizing, or empathizing with students) that instructors use in the course of normal…
Descriptors: Undergraduate Students, Teaching Assistants, Interaction, Social Behavior
Zuokun Li; Pey-Tee Emily Oon; Shaoming Chai – Education and Information Technologies, 2024
Promoting progressive discourse and sustained inquiry is a focus area of knowledge building research. Although different approaches for scaffolding productive discourse have been documented, the experimental investigation into the impact of teacher scaffolding on students' knowledge building processes and outcomes in technology-supported…
Descriptors: Scaffolding (Teaching Technique), Interaction, Behavior Patterns, Social Networks
Majumdar, Rwitajit; Bakilapadavu, Geetha; Majumder, Reek; Chen, Mei-Rong Alice; Flanagan, Brendan; Ogata, Hiroaki – Research and Practice in Technology Enhanced Learning, 2021
This study investigates learner's reading behaviors in a critical reading task in humanities course using learning analytics techniques. "A Critical Analysis of Literature and Cinema" course was selected as a context. The course activities evolved over 10 years, and for this instance, some face-to-face classroom critical reading…
Descriptors: Learning Analytics, Humanities, Critical Reading, Electronic Publishing
Gökhan Akçapinar; Erkan Er; Alper Bayazit – International Review of Research in Open and Distributed Learning, 2024
Lecture capture videos, a popular type of instructional content used by instructors to share course recordings online, play a significant role in educational settings. Compared to other educational videos, these recordings require minimal time and effort to produce, making them a preferred choice for disseminating course materials. Despite their…
Descriptors: Learner Engagement, Video Technology, Lecture Method, Student Behavior
Jieun Lim – Educational Technology & Society, 2024
This study compares the interaction patterns of a novice and an experienced instructor using Social Network Analysis (SNA) and content analysis and explores how students' interactions, degrees of satisfaction, and cognitive presence differ according to the different interaction patterns of the two instructors. Results showed some differences in…
Descriptors: Beginning Teachers, Experienced Teachers, Interaction, Student Satisfaction
Zima, Elisabeth – Discourse Processes: A Multidisciplinary Journal, 2020
This article focuses on the relationship between gaze and recipient feedback in triadic storytelling activities. Our starting point to investigate this relationship is an article by Bavelas et al. (2002), who report a statistically significant interaction between feedback and so-called gaze windows in dyadic storytelling activities. The pattern…
Descriptors: Eye Movements, Nonverbal Communication, Feedback (Response), Verbal Communication
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
Yang, Chia-chen; Lee, Yen – Applied Developmental Science, 2020
Research shows use of social media (SM) has important implications for college adjustment. However, most studies only focused on Facebook and did not attend to specific use patterns. Drawing on the activity-audience framework of social media use and literature of college adjustment, we examined the associations between use of Facebook, Instagram,…
Descriptors: Social Media, Social Adjustment, Undergraduate Students, Friendship
Nieuwoudt, Johanna Elizabeth – Australasian Journal of Educational Technology, 2020
Learning is facilitated by participation and interaction and can be synchronously or asynchronously in online education. This study investigated the relationship between students' academic success and online interaction and participation and explored their class attendance (synchronous virtual classes and/or watching the recorded virtual classes)…
Descriptors: Asynchronous Communication, Synchronous Communication, Predictor Variables, Online Courses
Esparza, David; Wagler, Amy E.; Olimpo, Jeffrey T. – CBE - Life Sciences Education, 2020
Course-based undergraduate research experiences (CUREs) serve to increase student access to authentic scientific opportunities. Current evidence within the literature indicates that engagement in CUREs promotes students' science identity development, science self-efficacy, motivation, and ability to "think like a scientist." Despite the…
Descriptors: Student Research, Undergraduate Students, Student Motivation, Self Concept
Mandalapu, Varun; Chen, Lujie Karen; Chen, Zhiyuan; Gong, Jiaqi – International Educational Data Mining Society, 2021
With the increasing adoption of Learning Management Systems (LMS) in colleges and universities, research in exploring the interaction data captured by these systems is promising in developing a better learning environment and improving teaching practice. Most of these research efforts focused on course-level variables to predict student…
Descriptors: Integrated Learning Systems, Interaction, Undergraduate Students, Minority Group Students
Akpinar, Nil-Jana; Ramdas, Aaditya; Acar, Umut – International Educational Data Mining Society, 2020
Educational software data promises unique insights into students' study behaviors and drivers of success. While much work has been dedicated to performance prediction in massive open online courses, it is unclear if the same methods can be applied to blended courses and a deeper understanding of student strategies is often missing. We use pattern…
Descriptors: Learning Strategies, Blended Learning, Learning Analytics, Student Behavior
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