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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
Kasakowskij, Regina; Haake, Joerg M.; Seidel, Niels – International Educational Data Mining Society, 2023
Improving competence requires practicing, e.g. by solving tasks. The Self-Assessment task type is a new form of scalable online task providing immediate feedback, sample solution and iterative improvement within the newly developed SAFRAN plugin. Effective learning not only requires suitable tasks but also their meaningful usage within the…
Descriptors: Self Evaluation (Individuals), Student Behavior, College Students, Learning Processes
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
Kuan-Fu Chen; Gwo-Jen Hwang; Mei-Rong Alice Chen – Educational Technology Research and Development, 2024
Laboratory courses can help students learn in a meaningful way. In the past, students encountered difficulties in chemistry laboratory courses due to limited access to equipment and space for practicing experimental operations. In recent years, virtual laboratories have allowed students to repeatedly practice in order to achieve their experimental…
Descriptors: Concept Mapping, Virtual Classrooms, Laboratories, Student Behavior
Lei Xie; Cixiao Wang – Interactive Learning Environments, 2024
Connectionist MOOC (cMOOC) is a type of MOOC, which can provide an online learning space for learners to sustainable connect. This study analyzed the learning behavior and motivation of repeat learners in the cMOOC "Internet + Education: a dialogue between theory and practice" to study the repeat learning needs and characteristics of…
Descriptors: Learning Analytics, Motivation Techniques, MOOCs, Sustainability
Gómez-García, Melchor; Soto-Varela, Roberto; Boumadan, Moussa; Matosas-López, Luis – Interactive Learning Environments, 2023
The emergence of social networks in the university context has contributed to modify students' behaviour, conditioning their academic performance and learning preferences. The objective is to analyse the influence of the patterns of use of social networks when predicting the usefulness that university students, give to different digital…
Descriptors: Foreign Countries, College Students, Social Networks, Social Media
Zhuoyao Cui; Haochen Yang – SAGE Open, 2023
This study investigates the influence of game elements on active learning intentions within digital learning platforms. Drawing from a situational perspective, we developed a model and validated it using data from 492 respondents collected via questionnaires. Our findings suggest that while social elements enhance active learning intentions, both…
Descriptors: Educational Technology, Technology Uses in Education, Gamification, Active Learning
Ignacio Villagrán; Rocío Hernández; Javiera Fuentes-Cimma; Constanza Miranda; Julián Varas; Andrés Neyem; Gabriela Sepúlveda; Bárbara Catril; Patricio García; Isabel Hilliger; Eduardo Fuentes-Lopez – Journal of Computer Assisted Learning, 2025
Background: Before they graduate, higher education students must demonstrate technical skills in different procedures, where health degrees such as physiotherapy stand out for their practical nature. Procedural skill development requires students to uptake feedback continuously, which is costly in terms of time and effort. Although the…
Descriptors: Allied Health Occupations Education, Undergraduate Students, Trainees, Physical Therapy
Cheng, Jiaming; Lei, Jing – E-Learning and Digital Media, 2021
Student-student interaction can benefit learning as well as provide a sense of community in online courses. Blogging is a common approach to provide opportunities for students to communicate with each other. This study used Social Network Analysis to depict commenting behaviour between students in an online graduate-level course. By examining the…
Descriptors: Student Behavior, Behavior Patterns, Student Participation, Graduate Students
Fatahi, Somayeh; Shabanali-Fami, Faezeh; Moradi, Hadi – Education and Information Technologies, 2018
The learning style of a learner is an important parameter in his learning process. Therefore, learning styles should be considered in the design, development, and implementation of e-learning environments to increase learners' performance. Thus, it is important to be able to automatically determine learning styles of learners in an e-learning…
Descriptors: Cognitive Style, Educational Technology, Technology Uses in Education, Student Behavior
Muhuri, Samya; Mukhopadhyay, Debajyoti – IEEE Transactions on Learning Technologies, 2022
A paradigm shift can be expected in the education sector, especially after the COVID-19 pandemic. E-learning systems are being adopted by all the stakeholders as physical meetings are not feasible. Different online learning attributes, such as video conferencing tools, coding platforms, online learning frameworks, digital books, and online videos,…
Descriptors: Students, Online Courses, Social Networks, Interpersonal Relationship
Shan Li; Xiaoshan Huang; Gaoxia Zhu; Hanxiang Du; Tianlong Zhong; Chenyu Hou; Juan Zheng – Journal of Computer Assisted Learning, 2024
Background: Social annotation has emerged as a promising educational technology that fosters collaborative reading and discussion of digital resources among learners. While the positive impact of social annotation on students' learning process and performance is widely acknowledged, students' behavioural patterns in social annotation are…
Descriptors: Undergraduate Students, Cooperative Learning, Reading Strategies, Group Activities
Getenet, Seyum; Tualaulelei, Eseta – Journal of Digital Learning in Teacher Education, 2023
The challenge addressed in this study is how the effectiveness of Padlet, Panopto video-embedded quizzes and Google Docs can be evaluated in terms of student engagement. Using a range of data sources, we discussed whether each technology influenced various dimensions of student engagement. The study found that certain technologies improved…
Descriptors: Educational Technology, Learner Engagement, Electronic Learning, Technology Uses in Education
Jenny Crayne; Carla Herrán; Danielle F. Sumy; Marcie Benne; Todd Shagott; Lori Peek – International Journal of Science Education, Part B: Communication and Public Engagement, 2024
Publicly available technologies are only truly 'public' if people are aware of them and know how to use them. In the US, significant resources have been devoted to public education around the recently released ShakeAlert® earthquake early warning (EEW) system operated by the U.S. Geological Survey; however, those efforts have been inconsistently…
Descriptors: Public Education, Spanish, English, Seismology
Du, Xin; Duivesteijn, Wouter; Klabbers, Martijn; Pechenizkiy, Mykola – International Educational Data Mining Society, 2018
Behavioral records collected through course assessments, peer assignments, and programming assignments in Massive Open Online Courses (MOOCs) provide multiple views about a student's study style. Study behavior is correlated with whether or not the student can get a certificate or drop out from a course. It is of predominant importance to identify…
Descriptors: Student Behavior, Assignments, Large Group Instruction, Online Courses

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