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Ernesto Panadero; Alazne Fernández Ortube; Rebecca Krebs; Julian Roelle – Assessment & Evaluation in Higher Education, 2025
Rubrics play a crucial role in shaping educational assessment, providing clear criteria for both teaching and learning. The advent of online rubric platforms has the potential to significantly enhance the effectiveness of rubrics in educational contexts, offering innovative features for assessment and feedback through the creation of erubrics.…
Descriptors: Scoring Rubrics, Teaching Methods, Learning Processes, Feedback (Response)
Jill Oeding; Theresa Gunn; Jamie Seitz – Open Praxis, 2024
This quantitative study is designed to help educational institutions and instructors make informed decisions regarding the use of online proctoring software. The researchers studied the impact of proctoring software in online courses by comparing the final grades of two groups of online, undergraduate students who took the same online course with…
Descriptors: Supervision, Computer Software, Online Courses, Grades (Scholastic)
Ye Qingyi; Wang Liangmin; Pan Senshan; Zhang Yifan; Li Jiayi – Education and Information Technologies, 2024
Information technology advancements have facilitated the widespread adoption of online education, providing learners with more flexible and convenient means of accessing educational resources and completing learning tasks. To improve the quality of online education and promote collaborative learning, online assessment is crucial in this…
Descriptors: Information Technology, Electronic Learning, Online Courses, Assessment Literacy
Andrea E. Green – ProQuest LLC, 2024
No solution can ultimately eliminate cheating in online courses. However, universities reserve funding for authentication systems to minimize the threat of cheating in online courses. Most higher education institutions use a combination of authentication methods to secure systems against impersonation attacks during online examinations.…
Descriptors: College Students, Cheating, Online Courses, Intervention
Nuo Cheng; Wei Zhao; Xiaoqing Xu; Hongxia Liu; Jinhong Tao – Education and Information Technologies, 2024
Learning analytics dashboards are becoming increasingly common tools for providing feedback to learners. However, there is limited empirical evidence regarding the effects of learning analytics dashboard design features on learners' cognitive load, particularly in digital learning environments. To address this gap, we developed goal-based,…
Descriptors: Learning Analytics, Learning Management Systems, Cognitive Ability, Online Courses
Jing Shi; Na Wan; Roslina Ibrahim – International Journal of Web-Based Learning and Teaching Technologies, 2024
The application of computer technology has revolutionized and promoted the traditional mode of piano teaching. Nowadays, many companies and institutions have begun to apply computer technology to online piano teaching. This paper analyzes the difficulties faced by students in piano teaching and the development of piano assistant practice and…
Descriptors: Music Education, Musical Instruments, Teaching Methods, Algorithms
Hui Han; Silvana Trimi – Education and Information Technologies, 2024
Cloud computing-based online education has played a vital role in enabling uninterrupted learning during crises such as the COVID-19 pandemic. This study explored the key variables associated with cloud computing that can effectively support the operation of online education platforms. By analyzing real data from 63 online learning platforms, the…
Descriptors: Computer Software, Learning Management Systems, Online Courses, Correlation
Nicolas Loiseau; Adrien Bruni; Pierre Puigpinos; Jean-Christophe Sakdavong – International Association for Development of the Information Society, 2024
This paper explores the concept of self-efficacy and its impact on individual performance on a mobile learning application. Self-efficacy refers to one's belief in their ability to achieve their goals and is a key factor in everyday life. To investigate the relationship between self-efficacy and performance, we conducted an experiment with 104…
Descriptors: Self Efficacy, Telecommunications, Handheld Devices, Computer Software
Yuhui Jing; Chengliang Wang; Yu Chen; Haoming Wang; Teng Yu; Rustam Shadiev – Education and Information Technologies, 2024
Bibliometric mapping is widely used in educational technology research to visualize research field development (e.g. the current status and trend). However, there has been limited research examining the present state, challenges, and potential applications of bibliometric mapping techniques in the field of educational technology. In an effort to…
Descriptors: Bibliometrics, Educational Technology, Information Technology, Online Courses
Lama Bergstrand Othman – Journal of Educational Research and Practice, 2025
Research has established that the proper use of technology in the classroom can promote and improve students' skill levels and knowledge base. Also, certain factors either enhance or impede the successful integration of technology in students' learning environments. Examples of these are efficiency of use, subject area, and teacher knowledge of…
Descriptors: Technology Uses in Education, Educational Technology, Literacy Education, Teacher Role
Paul Meara; Imma Miralpeix – Vocabulary Learning and Instruction, 2025
This paper is part 5 of a series of workshops that examines the properties of some simple models of vocabulary networks. While previous workshops dealt with activating words in the network, this workshop focuses on vocabulary loss. We will simulate two possible ways of modelling attrition: (a) explicitly turning active words OFF, and (b) raising…
Descriptors: Vocabulary Development, Workshops, Models, Networks
Chun Yan Enoch Sit; Siu-Cheung Kong – Journal of Educational Computing Research, 2024
Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…
Descriptors: Learning Processes, Learning Analytics, Algorithms, Guidelines
Christine Eith; Denise Zawada – Impacting Education: Journal on Transforming Professional Practice, 2025
This paper proposes a framework for integrating generative artificial intelligence (AI) tools into statistical training for Doctor of Education (EdD) students. The rigorous demands of doctoral education, coupled with the challenges of learning complex statistical software and coding language, often lead to anxiety and frustration among students,…
Descriptors: Doctoral Programs, Artificial Intelligence, Technology Integration, Statistics Education
Roshan Lal Neupane; Prasad Calyam; Songjie Wang; Kiran Neupane; Ashish Pandey; Xiyao Cheng; Durbek Gafurov; Hemanth Sai Yeddulapalli; Noah Glaser; Kanu Priya Singh; Yuanyuan Gu; Shangman Li; Sharan Srinivas – IEEE Transactions on Learning Technologies, 2024
Cloud-hosted services are being increasingly used in hosting business and scientific applications due to cost-effectiveness, scalability, and ease of deployment. To facilitate rapid development, change and release process of cloud-hosted applications, the area of development and operations (DevOps) is fast evolving. It is necessary to train the…
Descriptors: Online Courses, Computer Assisted Instruction, Learning Management Systems, Computer Assisted Design
Zi Xiang Poh; Ean Teng Khor – International Journal on E-Learning, 2024
Machine learning and data mining techniques have been widely used in educational settings to identify the important features that tend to influence students' learning performance and predict their future performance. However, there is little to no research done in the context of Singapore's education. Hence, this study aims to fill the gap by…
Descriptors: Learning Analytics, Goodness of Fit, Academic Achievement, Online Courses