Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 6 |
Descriptor
Algorithms | 6 |
Concept Mapping | 6 |
Feedback (Response) | 4 |
Artificial Intelligence | 3 |
Evaluation Methods | 2 |
Foreign Countries | 2 |
Learning Processes | 2 |
Student Evaluation | 2 |
Academic Achievement | 1 |
Automation | 1 |
Brainstorming | 1 |
More ▼ |
Source
Creativity Research Journal | 1 |
Interactive Learning… | 1 |
International Association for… | 1 |
International Journal of… | 1 |
International Journal of… | 1 |
Knowledge Management &… | 1 |
Author
Allan Jeong | 1 |
Alsayed, Omar | 1 |
Bao Wang | 1 |
Bo-Yang Shan | 1 |
Choudhary, Rishabh | 1 |
Doboli, Simona | 1 |
Gunnar Friege | 1 |
Hyoung Seok-Shin | 1 |
Jaed, Abu | 1 |
Kenworthy, Jared B. | 1 |
Liu, Chunhong | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 5 |
Reports - Evaluative | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Elementary Education | 1 |
Higher Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Bao Wang; Philippe J. Giabbanelli – International Journal of Artificial Intelligence in Education, 2024
Knowledge maps have been widely used in knowledge elicitation and representation to evaluate and guide students' learning. To effectively evaluate maps, instructors must select the most informative map features that capture students' knowledge constructs. However, there is currently no clear and consistent criteria to select such features, as…
Descriptors: Concept Mapping, Evaluation Methods, Student Evaluation, Algorithms
Liu, Chunhong; Zhang, Haoyang; Zhang, Jieyu; Zhang, Zhengling; Yuan, Peiyan – International Journal of Information and Communication Technology Education, 2023
Current learning platforms generally have problems such as fragmented knowledge, redundant information, and chaotic learning routes, which cannot meet learners' autonomous learning requirements. This paper designs a learning path recommendation system based on knowledge graphs by using the characteristics of knowledge graphs to structurally…
Descriptors: Educational Technology, Artificial Intelligence, Electronic Learning, Concept Mapping
Allan Jeong; Hyoung Seok-Shin – International Association for Development of the Information Society, 2023
The Jeong (2020) study found that greater use of backward and depth-first processing was associated with higher scores on students' argument maps and that analysis of only the first five nodes students placed in their maps predicted map scores. This study utilized the jMAP tool and algorithms developed in the Jeong (2020) study to determine if the…
Descriptors: Critical Thinking, Learning Strategies, Concept Mapping, Learning Analytics
Kenworthy, Jared B.; Doboli, Simona; Alsayed, Omar; Choudhary, Rishabh; Jaed, Abu; Minai, Ali A.; Paulus, Paul B. – Creativity Research Journal, 2023
We present the results of an ongoing collaboration between computer science and psychology researchers that employs Natural Language Processing (NLP) methods to examine the trajectory of semantic space used during group idea generation sessions. Specifically, we track and estimate the region of semantic space being used and the degree to which new…
Descriptors: Computer Science, Psychology, Researchers, Natural Language Processing
Tom Bleckmann; Gunnar Friege – Knowledge Management & E-Learning, 2023
Formative assessment is about providing and using feedback and diagnostic information. On this basis, further learning or further teaching should be adaptive and, in the best case, optimized. However, this aspect is difficult to implement in reality, as teachers work with a large number of students and the whole process of formative assessment,…
Descriptors: Concept Mapping, Formative Evaluation, Automation, Feedback (Response)
Shian-Shyong Tseng; Tsung-Yu Yang; Wen-Chung Shih; Bo-Yang Shan – Interactive Learning Environments, 2024
In this paper, to handle the problem of the quick evolution of cyber-security attacks, we developed the iMonsters board game and proposed the attack and defense knowledge self-evolving algorithm. Three versions of the iMonsters were launched in 2013, 2017, and 2019, respectively. Accordingly, the cyber-security ontology can be refined by the…
Descriptors: Educational Games, Computer Security, Computer Science Education, Game Based Learning