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Thuy Dung Pham Thi; Nam Tien Duong – Education and Information Technologies, 2024
With the explosive growth of various applications on the Internet, higher education institutions have advocated distance learning courses, making research on online learning increasingly important. This study attempts to emphasize the characteristics of instruction in online learning systems, using the Theory of Planned Behavior. Two groups of…
Descriptors: Electronic Learning, College Students, Behavior Theories, Intention
Jiaqi Jackie Shi – ProQuest LLC, 2024
One of the many impacts of the COVID-19 pandemic has been the increasing prevalence and accessibility of online education. This trend has also introduced challenges for students, instructors, and institutions. This study examines factors affecting online course satisfaction, focusing on individual, instructor, and institutional level…
Descriptors: Prediction, Online Courses, Higher Education, Student Attitudes
Quesada-Pallarès, Carla; González-Ortiz-de-Zárate, Aitana; Pineda-Herrero, Pilar; Cascallar, Eduardo – Vocations and Learning, 2022
Understanding vocational learning and transfer is vital to European citizens. We need to understand how transfer works, which factors influence it, and how these factors affect employee behaviour. Research in online training specific to Southern Europe is needed to move the field forward. The Unified Model of Motivation for Training Transfer (MTT)…
Descriptors: Vocational Education, Electronic Learning, Online Courses, Models
Zhou, Yuhao; Li, Xihua; Cao, Yunbo; Zhao, Xuemin; Ye, Qing; Lv, Jiancheng – International Educational Data Mining Society, 2021
In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…
Descriptors: Online Courses, Computer Assisted Instruction, Networks, Learning Analytics
Sha, Lele; Rakovic, Mladen; Li, Yuheng; Whitelock-Wainwright, Alexander; Carroll, David; Gaševic, Dragan; Chen, Guanliang – International Educational Data Mining Society, 2021
Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…
Descriptors: Classification, Computer Mediated Communication, Learning Analytics, Data Analysis
Maddens, Louise; Depaepe, Fien; Raes, Annelies; Elen, Jan – Instructional Science: An International Journal of the Learning Sciences, 2023
In order to design learning environments that foster students' research skills, one can draw on instructional design models for complex learning, such as the 4C/ID model (in: van Merriënboer and Kirschner, Ten steps to complex learning, Routledge, London, 2018). However, few attempts have been undertaken to foster students' "motivation"…
Descriptors: Research Training, Personal Autonomy, Instructional Design, Learning Motivation
Schaefer, Teresa; Fabian, Claudia Magdalena; Kopp, Tobias – British Journal of Educational Technology, 2020
Research stresses the importance of social components in learning. The social contact with peers and tutors stimulates reflection and supports higher processes of learning necessary for the internalisation and application of new knowledge. However, merely proposing opportunities for interaction does not necessarily lead to fruitful discussion and…
Descriptors: Peer Relationship, Socialization, Learning Processes, Teacher Student Relationship
Prahani, Binar Kurnia; Suprapto, Nadi; Rachmadiarti, Fida; Sholahuddin, Arif; Mahtari, Saiyidah; Suyidno; Siswanto, Joko – Journal of Turkish Science Education, 2021
The Wademen Model was chosen to develop the Online Scientific Creativity Learning (OSCL). The quality of OSCL is measured using an expert validation sheet. Students' scientific creativity is assessed using the Scientific Creativity Test Instrument (SCTI) and then analyzed through N-gain and parametric inferential statistical tests. The OSCL has…
Descriptors: Science Instruction, Creativity, Science Tests, Online Courses
Gardner, Josh; Brooks, Christopher – Journal of Learning Analytics, 2018
Model evaluation -- the process of making inferences about the performance of predictive models -- is a critical component of predictive modelling research in learning analytics. We survey the state of the practice with respect to model evaluation in learning analytics, which overwhelmingly uses only naïve methods for model evaluation or…
Descriptors: Prediction, Models, Evaluation, Evaluation Methods
Bey, Anis; Jermann, Patrick; Dillenbourg, Pierre – Educational Technology & Society, 2018
Computer-graders have been in regular use in the context of MOOCs (Massive Open Online Courses). The automatic grading of programs presents an opportunity to assess and provide tailored feedback to large classes, while featuring at the same time a number of benefits like: immediate feedback, unlimited submissions, as well as low cost of feedback.…
Descriptors: Comparative Analysis, Online Courses, Feedback (Response), Foreign Countries
Matsuda, Noboru; Furukawa, Tadanobu; Bier, Norman; Faloutsos, Christos – International Educational Data Mining Society, 2015
How can we automatically determine which skills must be mastered for the successful completion of an online course? Large-scale online courses (e.g., MOOCs) often contain a broad range of contents frequently intended to be a semester's worth of materials; this breadth often makes it difficult to articulate an accurate set of skills and knowledge…
Descriptors: Online Courses, Skills, Automation, Models
Olsson, Ulf – Education & Training, 2016
Purpose: The purpose of this paper is to analyse if open courses, including massive open online courses (MOOCs), can be used as professional development despite their openness since the openness not only brings together individuals from different organizations but also may make the results of collaboration public. Design/methodology/approach: The…
Descriptors: Online Courses, Professional Development, Higher Education, Cooperation
Abbitt, Jason T.; Watt, Sarah J.; Boone, William J. – Journal of Interactive Online Learning, 2018
This evaluation research study investigated the impact of differences in independent and collaborative teaching models in a blended graduate teacher education program. Using the Community of Inquiry model as a framework to evaluate the student experience in this program, data were collected over a two-year period regarding student perceptions of…
Descriptors: Blended Learning, Teacher Education Programs, Teacher Collaboration, Online Courses
Loden, Lisa Renee – ProQuest LLC, 2018
Remedial mathematics has been considered the roadblock to obtaining a college degree by students and educators for years. The purpose of this research is to determine the optimal time and delivery method of the three presented (fully module, module with a traditional lecture component, and fully on-line) for teaching remedial mathematics. This is…
Descriptors: Remedial Mathematics, Conventional Instruction, Online Courses, Teaching Methods
Yen, Nguyen Thi Linh; Cuong, Ton Quang; Chung, Pham Kim – Journal on Excellence in College Teaching, 2020
Transforming learner knowledge acquisition, application, and creation in digital learning may be supported by the implementation of blended learning and flipped classroom/learning, approaches that are now becoming a phenomenon in higher education practice in Vietnam. In practice, educators have approached flipped classrooms through various…
Descriptors: Flipped Classroom, Teaching Methods, Transformative Learning, Technological Literacy