Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 4 |
Descriptor
Learning Management Systems | 4 |
Learning Processes | 4 |
Artificial Intelligence | 2 |
Learning Analytics | 2 |
Models | 2 |
Online Courses | 2 |
Student Attitudes | 2 |
Teaching Methods | 2 |
Academic Achievement | 1 |
Accuracy | 1 |
Audio Equipment | 1 |
More ▼ |
Source
International Association for… | 4 |
Author
Hasegawa, Shinobu | 1 |
Ifenthaler, Dirk | 1 |
Plintz, Nicolai | 1 |
Sonderegger, Stefan | 1 |
Tran, Tuan M. | 1 |
Weber, Felix | 1 |
Publication Type
Speeches/Meeting Papers | 4 |
Reports - Research | 2 |
Information Analyses | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Germany | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Plintz, Nicolai; Ifenthaler, Dirk – International Association for Development of the Information Society, 2023
Emotions are vital to learning success, especially in online learning environments. They make the difference between learning success and failure. Unfortunately, learners' emotional state is still rarely considered in online learning and teaching, although it is an important driver of learning success. This paper reports a work-in-progress…
Descriptors: Online Courses, Academic Achievement, Emotional Experience, Measurement
Weber, Felix – International Association for Development of the Information Society, 2022
Digital Study Assistants (DSA) are an emerging type of software that combines web-based software architectures, various data sources, and algorithms from artificial intelligence (AI) to assist learners in improving their learning-related behaviors. In this paper, we summarize the implementation and results of a field study with a DSA for…
Descriptors: Goal Orientation, Computer Software, Artificial Intelligence, Universities
Sonderegger, Stefan – International Association for Development of the Information Society, 2022
The use of social robots in education is a growing area of research and the potential future applications are various. However, the conversational models behind current social robots and chatbot systems often rely on rule-based and retrieval-based methods. This limits the social robot to predefined responses and topics, thus hindering it from…
Descriptors: Robotics, Teaching Methods, Learning Processes, Models
Tran, Tuan M.; Hasegawa, Shinobu – International Association for Development of the Information Society, 2022
A learner model reflects learning patterns and characteristics of a learner. A learner model with learning history and its effectiveness plays a significant role in supporting a learner's understanding of their strengths and weaknesses of their way of learning in order to make proper adjustments for improvement. Nowadays, learners have been…
Descriptors: Markov Processes, Learning Processes, Models, Scores