Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Delivery Systems | 3 |
| Instructional Design | 3 |
| Learning Analytics | 3 |
| Foreign Countries | 2 |
| Open Education | 2 |
| Academic Achievement | 1 |
| College Faculty | 1 |
| College Freshmen | 1 |
| Computer Science Education | 1 |
| Context Effect | 1 |
| Correlation | 1 |
| More ▼ | |
Author
| Gasevic, Dragan | 1 |
| Gentili, Sheridan | 1 |
| Jovanovic, Jelena | 1 |
| Lim, Lisa | 1 |
| Maldonado-Mahauad, Jorge | 1 |
| Matcha, Wannisa | 1 |
| Oz, Omer | 1 |
| Ozdamar, Nilgun | 1 |
| Pardo, Abelardo | 1 |
| Perez-Sanagustin, Mar | 1 |
| Scandura, Joseph M. | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Reports - Descriptive | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Oz, Omer; Ozdamar, Nilgun – Asian Journal of Distance Education, 2020
The main purpose of this study is to explore the effects of Industry 4.0 on resources (specialization, rationalization, preparatory work, and capital-intensive techniques) in the field of open and distance learning. Industry 4.0 is a period in which a great and rapid change is experienced, has a wide and deep impact that can affect business lines…
Descriptors: College Faculty, Expertise, Teacher Attitudes, Open Education
Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2016
Intelligent Tutoring Systems (ITS) have a long history, almost as long as the Structural Learning Theory (initially in Scandura, 1971). Although well-funded for many years, neither ITS nor contemporary successors based on BIG DATA (e.g., Knewton) come close to modeling the processes used by good human tutors. AuthorIT & TutorIT rest on a…
Descriptors: Intelligent Tutoring Systems, Delivery Systems, Tutorial Programs, Instructional Design
Matcha, Wannisa; Gasevic, Dragan; Uzir, Nora'ayu Ahmad; Jovanovic, Jelena; Pardo, Abelardo; Lim, Lisa; Maldonado-Mahauad, Jorge; Gentili, Sheridan; Perez-Sanagustin, Mar; Tsai, Yi-Shan – Journal of Learning Analytics, 2020
Generalizability of the value of methods based on learning analytics remains one of the big challenges in the field of learning analytics. One approach to testing generalizability of a method is to apply it consistently in different learning contexts. This study extends a previously published work by examining the generalizability of a learning…
Descriptors: Learning Analytics, Learning Strategies, Instructional Design, Delivery Systems

Peer reviewed
Direct link
