Publication Date
In 2025 | 1 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Algorithms | 3 |
Foreign Countries | 3 |
Grade Point Average | 3 |
Academic Achievement | 1 |
Artificial Intelligence | 1 |
At Risk Students | 1 |
Attendance | 1 |
College Students | 1 |
Computation | 1 |
Difficulty Level | 1 |
Elementary School Students | 1 |
More ▼ |
Author
Agus Santoso | 1 |
Dogan, Dilek | 1 |
Dongkun Han | 1 |
Ezi Apino | 1 |
Gulbahar, Yasemin | 1 |
Heri Retnawati | 1 |
Ibnu Rafi | 1 |
Jialun Pan | 1 |
Kalelioglu, Filiz | 1 |
Kartianom | 1 |
Munaya Nikma Rosyada | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Research | 2 |
Information Analyses | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Agus Santoso; Heri Retnawati; Kartianom; Ezi Apino; Ibnu Rafi; Munaya Nikma Rosyada – Open Education Studies, 2024
The world's move to a global economy has an impact on the high rate of student academic failure. Higher education, as the affected party, is considered crucial in reducing student academic failure. This study aims to construct a prediction (predictive model) that can forecast students' time to graduation in developing countries such as Indonesia,…
Descriptors: Time to Degree, Open Universities, Foreign Countries, Predictive Measurement
Jialun Pan; Zhanzhan Zhao; Dongkun Han – IEEE Transactions on Learning Technologies, 2025
Properly predicting students' academic performance is crucial for elevating educational outcomes in various disciplines. Through precise performance prediction, schools can quickly pinpoint students facing challenges and provide customized educational materials suited to their specific learning needs. The reliance on teachers' experience to…
Descriptors: Prediction, Academic Achievement, At Risk Students, Artificial Intelligence
Kalelioglu, Filiz; Dogan, Dilek; Gulbahar, Yasemin – Informatics in Education, 2022
This study aims to provide a deeper understanding about the Bebras tasks, which is one of the computational thinking (CT) unplugged activities, in terms of age level, task category, and CT skills. Explanatory sequential mixed method was adopted in the study in order to collect data according to the research questions. The participants of the study…
Descriptors: Foreign Countries, Computation, Thinking Skills, Problem Solving