Publication Date
| In 2026 | 0 |
| Since 2025 | 39 |
| Since 2022 (last 5 years) | 175 |
| Since 2017 (last 10 years) | 183 |
| Since 2007 (last 20 years) | 186 |
Descriptor
Source
Author
| Dragan Gaševic | 3 |
| Adam Sales | 2 |
| Ajayi, Babatunde | 2 |
| Cui, Sunny | 2 |
| Egonu, Remare | 2 |
| Haßler, Björn | 2 |
| Johnson, Andy | 2 |
| Kim, Esther | 2 |
| Kondoro, Aron | 2 |
| Krochinak, Sarah | 2 |
| Mtebe, Joel | 2 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 2 |
| Teachers | 2 |
| Administrators | 1 |
| Students | 1 |
Location
| Turkey | 10 |
| Indonesia | 7 |
| Australia | 4 |
| China | 4 |
| Saudi Arabia | 4 |
| Europe | 3 |
| India | 3 |
| South Africa | 3 |
| Spain | 3 |
| Taiwan | 3 |
| Thailand | 3 |
| More ▼ | |
Laws, Policies, & Programs
| Pell Grant Program | 2 |
| Individuals with Disabilities… | 1 |
| Rehabilitation Act 1973 | 1 |
Assessments and Surveys
| International English… | 1 |
| National Assessment of… | 1 |
| Test of English for… | 1 |
What Works Clearinghouse Rating
| Does not meet standards | 1 |
Aaron Haim; Eamon Worden; Neil T. Heffernan – Grantee Submission, 2024
Since GPT-4's release it has shown novel abilities in a variety of domains. This paper explores the use of LLM-generated explanations as on-demand assistance for problems within the ASSISTments platform. In particular, we are studying whether GPT-generated explanations are better than nothing on problems that have no supports and whether…
Descriptors: Artificial Intelligence, Learning Management Systems, Computer Software, Intelligent Tutoring Systems
Riordan Alfredo; Vanessa Echeverria; Linxuan Zhao; LuEttaMae Lawrence; Jie Xiang Fan; Lixiang Yan; Xinyu Li; Zachari Swiecki; Dragan Gaševic; Roberto Martinez-Maldonado – Journal of Learning Analytics, 2024
Despite growing interest in applying human-centred design methods to create learning analytics (LA) systems, most efforts have concentrated on initial design phases, with limited exploration of how LA tools and practices can coevolve during the actual learning and teaching activities. This paper examines how a human-centred LA dashboard can be…
Descriptors: Learning Analytics, Learning Management Systems, Artificial Intelligence, Computer Software
Snekha, S.; Ayyanathan, N. – Shanlax International Journal of Education, 2023
An educational customer relationship management (CRM) Chatbot is a learner support service automation tool that enhances the human computer interaction and user experience in higher education institutions through effective online conversation and information exchange. The machine with embedded knowledge is trained to identify the sentences and…
Descriptors: Computer Software, Learning Management Systems, Educational Technology, Man Machine Systems
Md Akib Zabed Khan; Agoritsa Polyzou – Journal of Educational Data Mining, 2024
In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…
Descriptors: Academic Advising, Courses, Data Use, Artificial Intelligence
Rodel Mar V. Guban – Online Submission, 2024
Among the many options for a learning management system (LMS), Office 365 is one of the most popular among colleges and universities in the Philippines and abroad. While there are substantial studies conducted on the use of LMS for online communication in general, action research conducted to a specific higher education institution is still needed…
Descriptors: Undergraduate Students, Computer Mediated Communication, Computer Software, Foreign Countries
Guang Jiang; Jiahui Zhu; Yunsong Li; Pengcheng An; Yunlong Wang – Education and Information Technologies, 2024
Teacher-student interaction (TSI) is essential for learning efficiency and harmonious teacher-student interpersonal relationships. However, studies on TSI support tools often focus on teacher needs while neglecting student needs and autonomy. To enhance both lecturer competence in delivering interpersonal interaction and student autonomy in TSI,…
Descriptors: Teacher Student Relationship, Computer Software, Teaching Methods, Computer Simulation
Sanda Vere?; Ana-Simona Ilie; Paula Maria Buda – Romanian Review of Geographical Education, 2024
The purpose of this study is to investigate primary school teachers' perceptions regarding the frequency of using educational platforms, digital applications, and videos for teaching science and geography. Data collection was carried out through a questionnaire survey in which 107 primary school teachers voluntarily participated. The analysis…
Descriptors: Films, Elementary School Students, Teaching Methods, Computer Games
Nisar Ahmad Bhat – Online Submission, 2025
In the contemporary era, the concept of learning transcends the traditional classroom boundaries. Information and Communication Technology (ICT) has revolutionized education, offering diverse avenues for lifelong learning. ICT plays a pivotal role in facilitating lifelong learning, empowering individuals to continuously acquire knowledge and…
Descriptors: Information Technology, Lifelong Learning, Individual Development, Professional Development
Esmail Mohebbi – Decision Sciences Journal of Innovative Education, 2025
Microsoft Excel and Access are widely used in introductory courses designed to teach the fundamentals of spreadsheet and relational database modeling skills in various disciplines. To achieve the targeted learning outcomes, instructors of these courses strive to provide students with guided, frequent, and incrementally fruitful practice with the…
Descriptors: Teaching Methods, Instructional Effectiveness, Spreadsheets, Computer Simulation
Ethan Prihar; Adam Sales; Neil Heffernan – Grantee Submission, 2023
This work proposes Dynamic Linear Epsilon-Greedy, a novel contextual multi-armed bandit algorithm that can adaptively assign personalized content to users while enabling unbiased statistical analysis. Traditional A/B testing and reinforcement learning approaches have trade-offs between empirical investigation and maximal impact on users. Our…
Descriptors: Trust (Psychology), Learning Management Systems, Learning Processes, Algorithms
Cleon Xavier; Luiz Rodrigues; Newarney Costa; Rodrigues Neto; Gabriel Alves; Taciana Pontual Falcao; Dragan Gasevic; Rafael Ferreira Mello – IEEE Transactions on Learning Technologies, 2025
Providing timely and personalized feedback on open-ended student responses is a challenge in education due to the increased workloads and time constraints educators face. While existing research has explored how learning analytic approaches can support feedback provision, previous studies have not sufficiently investigated educators' perspectives…
Descriptors: Teacher Empowerment, Learning Analytics, Artificial Intelligence, Computer Software
Maria Camilla Ann R. Llamas; Cenie M. Vilela-Malabanan; Dante D. Dinawanao – Journal of Education and Learning (EduLearn), 2025
This study explores the user experience (UX) of academics and students in using a Moodle-based learning management system (LMS) and provides opportunities for improvement. The study employs a qualitative approach to gain a deep understanding of user perspectives, combining focus group discussions (FGDs) with the user experience questionnaire…
Descriptors: College Faculty, Learning Management Systems, Teacher Attitudes, Educational Improvement
Tamra Ross; Rachel Sondergaard; Cindy Ives; Andrew Han; Sabine Graf – Technology, Knowledge and Learning, 2025
To meet student demand for responsive, adaptable, and up-to-date online courses, educators and learning designers need tools to analyse student interactions with their peers, educators and learning resources. Learning Management Systems (LMSs) store large volumes of detailed user data, but offer only limited, pre-set reports and visualizations to…
Descriptors: Access to Information, Learning Analytics, Instructional Design, Evaluation Methods
Malone, Mac – ProQuest LLC, 2023
We analyze the thesis that a fully immersive gamified learning platform benefits students, improving their enjoyment, time management, and performance by engaging them with the subject matter. We assert that an immersive experience centered around a true game produces better results than exercises with just a few gamified elements (e.g., points,…
Descriptors: Game Based Learning, Teaching Methods, Time Management, Learner Engagement
Chun Yan Enoch Sit; Siu-Cheung Kong – Journal of Educational Computing Research, 2024
Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…
Descriptors: Learning Processes, Learning Analytics, Algorithms, Guidelines

Peer reviewed
Direct link
