Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 4 |
Descriptor
Algorithms | 4 |
Foreign Countries | 4 |
Artificial Intelligence | 3 |
At Risk Students | 1 |
Automation | 1 |
Best Practices | 1 |
Bias | 1 |
College Students | 1 |
Computation | 1 |
Computer Literacy | 1 |
Computer Software Evaluation | 1 |
More ▼ |
Source
AERA Online Paper Repository | 1 |
Journal of Educational Data… | 1 |
Knowledge Management &… | 1 |
Teaching in Higher Education | 1 |
Author
Agathe Merceron | 1 |
Gunnar Friege | 1 |
Kerstin Wagner | 1 |
Maria Cutumisu | 1 |
Niels Pinkwart | 1 |
Petra Sauer | 1 |
Pineda, Pedro | 1 |
Steinhardt, Isabel | 1 |
Tom Bleckmann | 1 |
Zexuan Pan | 1 |
Publication Type
Reports - Research | 4 |
Journal Articles | 3 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Secondary Education | 1 |
Audience
Location
Germany | 4 |
China | 1 |
Denmark | 1 |
Finland | 1 |
France | 1 |
Latin America | 1 |
Luxembourg | 1 |
Portugal | 1 |
South Korea | 1 |
United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Zexuan Pan; Maria Cutumisu – AERA Online Paper Repository, 2023
Computational thinking (CT) is a fundamental ability for learners in today's society. Although CT assessments and interventions have been studied widely, little is known about CT predictions. This study predicted students' CT achievement in the ICILS 2018 using five machine learning models. These models were trained on the data from five European…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Prediction
Kerstin Wagner; Agathe Merceron; Petra Sauer; Niels Pinkwart – Journal of Educational Data Mining, 2024
In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design, is based on the explainable k-nearest neighbor algorithm and recommends a…
Descriptors: At Risk Students, Algorithms, Foreign Countries, Course Selection (Students)
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)
Pineda, Pedro; Steinhardt, Isabel – Teaching in Higher Education, 2023
Through co-occurrence analysis of 1139 documents (1964-2018) we identified discussions about the implementation of student teaching evaluation (SET). We found that: (1) Attention to SET originated in the US in the 1970s, spreading to German-speaking countries in the mid-1990s and continuing in China and Latin America in the early 2000s. (2) SET is…
Descriptors: Student Evaluation of Teacher Performance, Program Implementation, Higher Education, Educational History