Publication Date
| In 2026 | 0 |
| Since 2025 | 172 |
| Since 2022 (last 5 years) | 1076 |
| Since 2017 (last 10 years) | 1804 |
| Since 2007 (last 20 years) | 1839 |
Descriptor
Source
Author
| Gaševic, Dragan | 24 |
| Dragan Gaševic | 17 |
| Ogata, Hiroaki | 15 |
| Baker, Ryan S. | 14 |
| Pardo, Abelardo | 13 |
| Roberto Martinez-Maldonado | 13 |
| Ouyang, Fan | 12 |
| Prinsloo, Paul | 12 |
| Rienties, Bart | 12 |
| Saqr, Mohammed | 12 |
| Hershkovitz, Arnon | 11 |
| More ▼ | |
Publication Type
Education Level
Location
| Australia | 76 |
| China | 61 |
| United Kingdom | 39 |
| Spain | 26 |
| Japan | 24 |
| Turkey | 24 |
| United States | 20 |
| Europe | 19 |
| Taiwan | 19 |
| Netherlands | 18 |
| Finland | 17 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Hui-Chun Hung; Min-Yu Chuang; Cheng-Huan Chen – International Journal of Science and Mathematics Education, 2024
Due to the pandemic, many students have been forced to study remotely. This study aims to investigate the impact of online collaboration scripts on learning outcomes in virtual reality (VR) co-creation learning activities during distance learning. The collaboration scripts were designed to foster students' remote teamwork. The participants…
Descriptors: COVID-19, Pandemics, Distance Education, Cooperative Learning
Mark Locherer – Cogent Education, 2024
In this article, we outline the process undertaken to establish and evaluate a mathematics centre at the Ravensburg-Weingarten University of Applied Sciences. Firstly, we outline some of the current research into centre evaluation. Secondly, we give a brief overview of our centre, including details on staffing, teaching format, goals, etc.…
Descriptors: Universities, Mathematics Education, Teaching Methods, Program Evaluation
Karmijn van de Oudeweetering; Jeremy Knox; Mathias Decuypere – Learning, Media and Technology, 2024
This paper examines the enactment of feedback in Massive Open Online Courses (MOOCs), focusing on analytics dashboards. Building on scholarship that recognizes data practices as entangled and 'messy', the paper problematizes the model of the feedback loop that assumes that analytics dashboards 'feed back' data to instructors and/or learners…
Descriptors: MOOCs, Learning Analytics, Instructional Design, Student Role
Johanes, Petr; Thille, Candace – British Journal of Educational Technology, 2019
Education and education research are experiencing increased digitization and datafication, partly thanks to the rise in popularity of massively open online courses (MOOCs). The infrastructures that collect, store and analyse the resulting big data have received critical scrutiny from sociological, epistemological, ethical and analytical…
Descriptors: Data Collection, Learning Analytics, Online Courses, Higher Education
Zhang, J.; Lou, X.; Zhang, H.; Zhang, J. – Distance Education, 2019
Understanding how collective attention flow circulates amid an over-abundance of knowledge is a key to designing new and better forms of online and flexible learning experiences. This study adopted an open flow network model and the associated distance metrics to gain an understanding of collective attention flow using clickstream data in a…
Descriptors: Attention, Online Courses, Foreign Countries, Introductory Courses
Robert, Jenay; Reinitz, Betsy – EDUCAUSE, 2023
More data are collected, analyzed, and stored now than at any other time in history. Data processes play a foundational role in just about every professional discipline, and data stakeholders all over the world are grappling with modernizing and optimizing data governance policies and practices. In this rapidly evolving landscape, what challenges…
Descriptors: Data Collection, Learning Analytics, Higher Education, Governance
Xu, Yinuo; Pardos, Zachary A. – International Educational Data Mining Society, 2023
In studies that generate course recommendations based on similarity, the typical enrollment data used for model training consists only of one record per student-course pair. In this study, we explore and quantify the additional signal present in course transaction data, which includes a more granular account of student administrative interactions…
Descriptors: Semantics, Enrollment Trends, Learning Analytics, STEM Education
Gabbay, Hagit; Cohen, Anat – International Educational Data Mining Society, 2023
In MOOCs for programming, Automated Testing and Feedback (ATF) systems are frequently integrated, providing learners with immediate feedback on code assignments. The analysis of the large amounts of trace data collected by these systems may provide insights into learners' patterns of utilizing the automated feedback, which is crucial for the…
Descriptors: MOOCs, Feedback (Response), Teaching Methods, Learning Strategies
Yürüm, Ozan Rasit; Taskaya-Temizel, Tugba; Yildirim, Soner – Education and Information Technologies, 2023
Video clickstream behaviors such as pause, forward, and backward offer great potential for educational data mining and learning analytics since students exhibit a significant amount of these behaviors in online courses. The purpose of this study is to investigate the predictive relationship between video clickstream behaviors and students' test…
Descriptors: Video Technology, Educational Technology, Learning Management Systems, Data Collection
Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Journal of Information Systems Education, 2023
Educators who teach programming subjects are often wondering "which programming language should I teach first?" The debate behind this question has a long history and coming up with a definite answer to this question would be farfetched. Nonetheless, several efforts can be identified in the literature wherein pros and cons of mainstream…
Descriptors: Comparative Analysis, Programming Languages, Probability, Error Patterns
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
Patrick Ocheja; Brendan Flanagan; Hiroaki Ogata; Solomon Sunday Oyelere – Interactive Learning Environments, 2023
The use of blockchain in education has become one of the trending topics in education technology research. However, only a handful of education blockchain solutions have provided a measure of the impact on students' learning outcomes, teaching, or administrative processes. This work reviews how academic data stored on the blockchain is being…
Descriptors: Educational Technology, Learning Activities, Lifelong Learning, Information Security
Torres Castro, Uriel Eduardo; Pineda-Báez, Clelia – Journal of Further and Higher Education, 2023
The objective of this article is to analyse the development and content of research in the global literature on student agency in higher education (SAHE) based on a bibliometric review of 224 articles published in the Scopus database during the period 2000-2022. VOSviewer, Excel, and Tableau software were used to analyse the texts. The review…
Descriptors: Personal Autonomy, Higher Education, Social Cognition, Student Motivation
Youqin Pan; Jian Gu – International Journal of Technology in Teaching and Learning, 2023
This paper explores the potential of using Chat Generative PreTrained Transformer (ChatGPT), a powerful language model, as an innovative tool to enhance education in the classroom. Drawing from firsthand experience, this paper demonstrates how ChatGPT can be integrated into the teaching and learning process of statistics and data analytics…
Descriptors: Teaching Methods, Learning Processes, Artificial Intelligence, Computer Software
Atasoy, Eda; Bozna, Harun; Sönmez, Abdulvahap; Aydin Akkurt, Ayse; Tuna Büyükköse, Gamze; Firat, Mehmet – Asian Association of Open Universities Journal, 2020
Purpose: This study aims to investigate the futuristic visions of PhD students at Distance Education department of Anadolu University on the use of learning analytics (LA) and mobile technologies together. Design/methodology/approach: This qualitative research study, designed in the single cross-section model, aimed to reveal futuristic visions of…
Descriptors: Active Learning, Learning Analytics, Handheld Devices, Student Attitudes

Peer reviewed
Direct link
