Publication Date
| In 2026 | 0 |
| Since 2025 | 4 |
| Since 2022 (last 5 years) | 10 |
| Since 2017 (last 10 years) | 13 |
| Since 2007 (last 20 years) | 13 |
Descriptor
Source
| Technology, Knowledge and… | 13 |
Author
| Kaliisa, Rogers | 2 |
| A. Pandal Blanco | 1 |
| Abdullah Saykili | 1 |
| Alejandro Ortega-Arranz | 1 |
| Armatas, Christine | 1 |
| Aylin Öztürk | 1 |
| Barbara Šlibar | 1 |
| Chan, Dick | 1 |
| Chun, Cecilia | 1 |
| Diana Šimic | 1 |
| Dolonen, Jan Arild | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 13 |
| Reports - Research | 12 |
| Reports - Evaluative | 1 |
Education Level
| Higher Education | 13 |
| Postsecondary Education | 13 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Abdullah Saykili; Sinan Aydin; Yusuf Zafer Can Ugurhan; Aylin Öztürk; Mustafa Kemal Birgin – Technology, Knowledge and Learning, 2025
Learning analytics offer unprecedented opportunities for tracking and storing learning behaviors, thereby providing chances for optimizing learner engagement and success. The limited adoption of learning analytics by educational institutions hinders efforts to optimize learning processes through organizational and educational interventions,…
Descriptors: Undergraduate Students, Online Courses, Learning Analytics, Student Characteristics
Ran Bao; Jianyong Chen – Technology, Knowledge and Learning, 2025
Multimodal learning analysis emphasizes using diverse data from various sources and forms for precise examination of learning patterns. Despite recent rapid advancements in this field, conventional learning analysis remains predominantly cross-sectional and group-focused, which is insufficient for understanding continuous and personalized learning…
Descriptors: Learning Analytics, Data Use, Evaluation Methods, Learning Processes
Kaliisa, Rogers; Mørch, Anders I.; Kluge, Anders – Technology, Knowledge and Learning, 2022
The literature until 2020 has forecasted a significant uptake of learning analytics (LA) to support learning design in higher education. However, there remain only a few investigations into teachers' course design practices and their perspectives on LA as a tool to support their design practices. This paper presents findings from an examination of…
Descriptors: Learning Analytics, College Faculty, Teacher Attitudes, Instructional Design
Armatas, Christine; Kwong, Theresa; Chun, Cecilia; Spratt, Christine; Chan, Dick; Kwan, Joanna – Technology, Knowledge and Learning, 2022
The application of learning analytics (LA) to research and practice in higher education is expanding. Researchers and practitioners are using LA to provide an evidentiary basis across higher education to investigate student learning, to drive institutional quality improvement strategies, to determine at-risk behaviours and develop intervention…
Descriptors: Learning Analytics, Higher Education, Foreign Countries, Curriculum Evaluation
Diana Šimic; Barbara Šlibar; Jelena Gusic Mundar; Sabina Rako – Technology, Knowledge and Learning, 2025
Researchers and practitioners from different disciplines (e.g., educational science, computer science, statistics) continuously enter the rapidly developing research field of learning analytics (LA) and bring along different perspectives and experiences in research design and methodology. Scientific communities share common problems, concepts,…
Descriptors: Learning Analytics, Higher Education, Science Education, Publications
Mohammad Khalil; Paraskevi Topali; Alejandro Ortega-Arranz; Erkan Er; Gökhan Akçapinar; Gleb Belokrys – Technology, Knowledge and Learning, 2024
The use of videos in teaching has gained impetus in recent years, especially after the increased attention towards remote learning. Understanding students' video-related behaviour through learning (and video) analytics can offer instructors significant potential to intervene and enhance course designs. Previous studies explored students' video…
Descriptors: Foreign Countries, MOOCs, Distance Education, Online Courses
Li, Maximilian Xiling; Nadj, Mario; Maedche, Alexander; Ifenthaler, Dirk; Wöhler, Johannes – Technology, Knowledge and Learning, 2022
With the advent of physiological computing systems, new avenues are emerging for the field of learning analytics related to the potential integration of physiological data. To this end, we developed a physiological computing infrastructure to collect physiological data, surveys, and browsing behavior data to capture students' learning journey in…
Descriptors: Physiology, Computation, Artificial Intelligence, Psychological Patterns
J. M. Fernández Oro; P. García Regodeseves; L. Santamaría Bertolín; J. González Pérez; R. Barrio-Perotti; A. Pandal Blanco – Technology, Knowledge and Learning, 2025
Learning Analytics tools are employed to assess student engagement with the Virtual Campus in an undergraduate Fluid Mechanics course at university level in Spain. This is aimed at obtaining a diagnosis of the course problematics which include low attendance rates, poor performance on activity tests and exams and a high number of re-enrolments. A…
Descriptors: Learning Analytics, Electronic Learning, Undergraduate Study, Mechanics (Physics)
Kaliisa, Rogers; Dolonen, Jan Arild – Technology, Knowledge and Learning, 2023
Despite the potential of learning analytics (LA) to support teachers' everyday practice, its adoption has not been fully embraced due to the limited involvement of teachers as co-designers of LA systems and interventions. This is the focus of the study described in this paper. Following a design-based research (DBR) approach and guided by concepts…
Descriptors: College Faculty, Student Participation, Discourse Analysis, Behavior Patterns
Karaoglan Yilmaz, Fatma Gizem; Yilmaz, Ramazan – Technology, Knowledge and Learning, 2020
There is a growing interest in the use of learning analytics in higher education institutions. Learning analytics also appear to have the potential to be used to provide personalized feedback and support in online learning. However, when the literature is examined, the use of learning analytics for this purpose appears as a gap to be investigated.…
Descriptors: Student Attitudes, Individualized Instruction, Electronic Learning, Feedback (Response)
Yildirim, Denizer; Gülbahar, Yasemin – Technology, Knowledge and Learning, 2022
This study aims to determine indicators that affect students' final performance in an online learning environment using predictive learning analytics in an ICT course and Turkey context. The study takes place within a large state university in an online computer literacy course (14 weeks in one semester) delivered to freshmen students (n = 1209).…
Descriptors: Electronic Learning, Foreign Countries, Computer Literacy, College Freshmen
Forsyth, Carol M.; Graesser, Arthur; Millis, Keith – Technology, Knowledge and Learning, 2020
The current study investigated predictors of shallow versus deep learning within a serious game known as Operation ARA. This game uses a myriad of pedagogical features including multiple-choice tests, adaptive natural language tutorial conversations, case-based reasoning, and an E-text to engage students. The game teaches 11 topics in research…
Descriptors: Educational Games, Predictor Variables, Evidence Based Practice, Learning Analytics
Ibañez, Patricia; Villalonga, Cristina; Nuere, Leire – Technology, Knowledge and Learning, 2020
The main objective of educational institutions is to achieve the integral development of their students in their learning and knowledge construction process. One way to achieve these objectives is the accompaniment and continuous monitoring of students in this process, adapting the methods to their training needs. In online and mixed teaching…
Descriptors: Learning Analytics, Foreign Countries, Educational Environment, Electronic Learning

Peer reviewed
Direct link
