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Berkan Celik; Kursat Cagiltay – Education and Information Technologies, 2024
MOOC learners come from different backgrounds, and they have various motivations and intentions for taking online courses. This study examines learner intentions with subsequent behaviors and the reasons for the intention-behavior gap in MOOCs. A total of four MOOCs from BilgeIs MOOC Portal was used in this study. This quantitative study with a…
Descriptors: Students, MOOCs, Intention, Student Behavior
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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
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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
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Pawan Kumar; Urvashi Tandon – Education and Information Technologies, 2024
This research aims to study the impact of Values enhanced technology adoption (VETA) in facilitating e-learning among academicians in Higher Education Institutions (HEIs) in North India. This research also validates the moderating role of digital technology by thoroughly understanding the impact of dimensions of VETA on behavioural intention. The…
Descriptors: Foreign Countries, Behavior Patterns, Electronic Learning, Higher Education
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Xiaona Xia; Wanxue Qi – Education and Information Technologies, 2024
The full implementation of MOOCs in online education offers new opportunities for integrating multidisciplinary and comprehensive STEM education. It facilitates the alignment between online learning content and learning behaviors. However, it also presents new challenges, such as a high rate of STEM dropouts. Many learners struggle to establish…
Descriptors: Graphs, MOOCs, STEM Education, Learning Processes
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Hatice Yildiz Durak – Education and Information Technologies, 2025
Feedback is critical in providing personalized information about educational processes and supporting their performance in online collaborative learning environments. However, giving effective feedback and monitoring its effects, which is especially important in online environments, is a complex issue. Although providing feedback by analyzing…
Descriptors: Feedback (Response), Online Systems, Electronic Learning, Learning Analytics
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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
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Zheng, Juan; Li, Shan; Lajoie, Susanne P. – Education and Information Technologies, 2022
This study examined the relationships between clinical reasoning behaviors and diagnostic efficiency in the context of diagnosing a virtual patient in BioWorld, a technology-rich environment designed for medical students to practice clinical reasoning skills. Eighty-two medical students who correctly solved a patient case with Diabetes Mellitus…
Descriptors: Clinical Diagnosis, Patients, Medical Students, Technology Uses in Education
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Hu, Xiaoyong; He, Wei; Chiu, Thomas K. F.; Zhao, Li – Education and Information Technologies, 2023
Recently, Artificial Intelligence (AI), seen as an engineering domain, has been introduced into school education, but its pedagogy remains unclear. In general, group learning has been applied as a primary form of instruction in hands-on engineering activities. This learning approach is more common in higher education. School students are less…
Descriptors: Middle School Students, Artificial Intelligence, Group Activities, Group Behavior
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Garg, Anchal; Rajendran, Ramkumar – Education and Information Technologies, 2023
Procrastination is one of the issues affecting more than half of the student population and is known to impact them negatively. It is also one of the major reasons for failure and dropout. Therefore, several studies have been conducted in this domain to understand when and why students procrastinate. The existing studies use self-reported…
Descriptors: Behavior Patterns, Time Management, Web Sites, Editing
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Mohammed Jebbari; Bouchaib Cherradi; Soufiane Hamida; Abdelhadi Raihani – Education and Information Technologies, 2024
With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid development in recent years. This demand was especially evident during the COVID-19 pandemic. The incorporation of new technologies in VLEs provides new opportunities to better understand the behaviors of…
Descriptors: MOOCs, Algorithms, Computer Simulation, COVID-19
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Karolína Dockalová Burská; Jakub Rudolf Mlynárik; Radek Ošlejšek – Education and Information Technologies, 2024
In cyber security education, hands-on training is a common type of exercise to help raise awareness and competence, and improve students' cybersecurity skills. To be able to measure the impact of the design of the particular courses, the designers need methods that can reveal hidden patterns in trainee behavior. However, the support of the…
Descriptors: Computer Science Education, Information Security, Computer Security, Training Methods
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Yi-Shiuan Chou; Huei-Tse Hou; Kuo-En Chang – Education and Information Technologies, 2024
The trend in history education is gradually emphasizing the development of historical thinking and collaborative problem-solving skills, which are expected to enhance the breadth and depth of learners' thinking. The integration of game-based learning with collaborative problem-solving activities designed for historical thinking is expected to help…
Descriptors: History Instruction, Instructional Effectiveness, Behavior Patterns, Cognitive Processes
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Mailizar, Mailizar; Johar, Rahmah; Sadli, Rahmad; Zubaidah, Tuti – Education and Information Technologies, 2022
Mobile instant messengers such as WhatsApp have become an essential part of everyday life and can be a transformative tool for teacher professional development. Several studies have addressed the use of WhatsApp in a community of practices. However, there is a lack of study on examining teachers' interaction in WhatsApp community of practices,…
Descriptors: Foreign Countries, Mathematics Teachers, Secondary Education, Social Networks
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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
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