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Gisu Sanem Öztas; Gökhan Akçapinar – Educational Technology & Society, 2025
This study aimed to develop a prediction model to classify students based on their academic procrastination tendencies, which were measured and classified as low and high using a self-report tool developed based on the students' assignment submission behaviours logged in the learning management system's database. The students' temporal learning…
Descriptors: Time Management, Student Behavior, Online Courses, Learning Management Systems
Using Analytics to Predict Students' Interactions with Learning Management Systems in Online Courses
Ali Alshammari – Education and Information Technologies, 2024
In online education, it is widely recognized that interaction and engagement have an impact on students' academic performance. While previous research has extensively explored interactions between students, instructors, and content, there has been limited exploration of course design elements that promote the fourth type of interaction:…
Descriptors: Learning Analytics, Learning Management Systems, Academic Achievement, Correlation
Sonja Kleter; Uwe Matzat; Rianne Conijn – IEEE Transactions on Learning Technologies, 2024
Much of learning analytics research has focused on factors influencing model generalizability of predictive models for academic performance. The degree of model generalizability across courses may depend on aspects, such as the similarity of the course setup, course material, the student cohort, or the teacher. Which of these contextual factors…
Descriptors: Prediction, Models, Academic Achievement, Learning Analytics
Aleksandra Maslennikova; Daniela Rotelli; Anna Monreale – Journal of Learning Analytics, 2023
Students organize and manage their own learning time, choosing when, what, and how to study due to the flexibility of online learning. Each person has unique learning habits that define their behaviours and distinguish them from others. To investigate the temporal behaviour of students in online learning environments, we seek to identify suitable…
Descriptors: Learning Analytics, Online Courses, Time Management, Self Management
Reima Al-Jarf – Online Submission, 2024
In Spring 2020, there was a sudden shift from face-to-face (F2F) to distance learning (DL) due to the COVID-19 Pandemic. A study by Al-Jarf (2020) showed that 55% of the students and instructors preferred F2F instruction and were not satisfied with DL due to unfamiliarity, lack of training, interaction, technical problems and others. In the Fall…
Descriptors: Distance Education, Student Attitudes, Preferences, Teaching Methods
Antonio Estevan Martinez; Mary E. Pilgrim – International Journal of Mathematical Education in Science and Technology, 2022
In this paper, six interviews with course coordinators from two mathematics departments are analysed to better understand the relationship between course coordination and local data in the Precalculus to Calculus 2 sequence with respect to online grading platforms. We highlight several potential coordinator decisions and present illustrative…
Descriptors: Grading, Administrator Attitudes, Mathematics Instruction, Calculus
Sheri Conklin; Tom Dorgan; Daisyane Barreto – Discover Education, 2024
We investigated the utility of ChatGPT 3.5 in the creation of a fully online asynchronous higher education course. Our collaborative effort with ChatGPT resulted in developing a Master's level course on Trends and Issues in Instructional Design using the Backward Design Model. Throughout this process, we recognized the critical role of precise…
Descriptors: Design, Technology Uses in Education, Artificial Intelligence, Instructional Design
La Tonya Dyer; Liyan Song – Journal of Faculty Development, 2023
Faculty development activities offered within post-secondary educational institutions tend to focus on developing skills instead of directly addressing faculty conceptual views and beliefs that may affect their successful adoption of instruction within the online environment. This qualitative multi-case study bridges a gap in the current…
Descriptors: Faculty Development, Online Courses, Colleges, Skill Development
Patrick R. Lowenthal; Christopher Prokes; Amy Lomellini; Crystal Gasell – Open Praxis, 2025
As online education grows, ensuring accessibility for diverse and marginalized learners has become increasingly critical. This study investigated faculty perceptions of Anthology Ally, a tool designed to enhance the accessibility of online course materials by identifying and resolving accessibility issues. Using survey data from 78 educators at…
Descriptors: Online Courses, Instructional Design, College Faculty, Teacher Attitudes
Zhongzhou Chen; Tom Zhang; Michelle Taub – Journal of Learning Analytics, 2024
The current study measures the extent to which students' self-regulated learning tactics and learning outcomes change as the result of a deliberate, data-driven improvement in the learning design of mastery-based online learning modules. In the original design, students were required to attempt the assessment once before being allowed to access…
Descriptors: Learning Analytics, Algorithms, Instructional Materials, Course Content
Wan, Han; Zhong, Zihao; Tang, Lina; Gao, Xiaopeng – IEEE Transactions on Learning Technologies, 2023
Small private online courses (SPOCs) have influenced teaching and learning in China's higher education. Learning management systems (LMSs) are important components in SPOCs. They can collect various data related to student behavior and support pedagogical interventions. This research used feature engineering and nearest neighbor smoothing models…
Descriptors: Online Courses, Learning Management Systems, Higher Education, Student Behavior
Turmudi, Dedi; Ratini – Pegem Journal of Education and Instruction, 2022
Synchronous learning engagement has been studied during the pandemic COVID-19. However, few studies investigated Zen participants' engagement in particular courses. The study aims to disclose the EFL Zen students' devotion to synchronous instructional research courses during the disruption phase. The study focuses on the students'; miscellaneous…
Descriptors: Online Courses, English (Second Language), Second Language Learning, Second Language Instruction
Tanya M. Tercero – ProQuest LLC, 2020
The purpose of this dissertation is to provide an adapted framework for developing self-efficacy in designing and teaching online academic writing courses for international students for whom English is an additional language; this framework, based on Casanave's (2017) three broad categories for decision-making in teaching second language writing…
Descriptors: Second Language Learning, Second Language Instruction, Writing Instruction, Multilingualism