Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 5 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 5 |
Descriptor
Artificial Intelligence | 5 |
Learning Analytics | 5 |
Universities | 5 |
Academic Achievement | 3 |
Computer Software | 3 |
Classification | 2 |
Data Analysis | 2 |
Foreign Countries | 2 |
Futures (of Society) | 2 |
Academic Advising | 1 |
Algorithms | 1 |
More ▼ |
Source
Industry and Higher Education | 1 |
Information Systems Education… | 1 |
International Association for… | 1 |
International Baltic… | 1 |
International Educational… | 1 |
Author
Carroll, David | 1 |
Chen, Guanliang | 1 |
Gaševic, Dragan | 1 |
Kenneth David Strang | 1 |
Li, Yuheng | 1 |
Lowe, Robert | 1 |
Mitra, Reshmi | 1 |
Mutanen, Arto | 1 |
Narasimha Rao Vajjhala | 1 |
Rakovic, Mladen | 1 |
Rissanen, Antti | 1 |
More ▼ |
Publication Type
Reports - Research | 4 |
Speeches/Meeting Papers | 3 |
Journal Articles | 2 |
Opinion Papers | 1 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 5 |
Postsecondary Education | 5 |
Audience
Location
Australia | 1 |
California (Stanford) | 1 |
Finland | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kenneth David Strang; Narasimha Rao Vajjhala – Industry and Higher Education, 2024
This study explores integrating industry-crowdsourced projects within capstone courses of a 4-year Bachelor of Science program at an accredited American university. A unique business consulting model was developed for the final year course, aligning students with 16-weeks industry projects that reflected their academic goals and the program's…
Descriptors: Industry, Universities, Higher Education, Capstone Experiences
Mitra, Reshmi; Schwieger, Dana; Lowe, Robert – Information Systems Education Journal, 2023
Many universities have, or are facing, the task of providing high quality essential customer services with fewer financial and human resources. The growing diversity of students, their needs and proficiencies, along with the increasing variety of university program offerings, make providing customized, ondemand, automated solutions crucial to…
Descriptors: Universities, Academic Advising, Artificial Intelligence, Faculty Workload
Zualkernan, Imran – International Association for Development of the Information Society, 2021
A significant amount of research has gone into predicting student performance and many studies have been conducted to predict why students drop out. A variety of data including digital footprints, socio-economic data, financial data, and psychological aspects have been used to predict student performance at the test, course, or program level.…
Descriptors: Prediction, Engineering Education, Academic Achievement, Dropouts
Saastamoinen, Kalle; Rissanen, Antti; Mutanen, Arto – International Baltic Symposium on Science and Technology Education, 2023
There were two projects at the National Defence University of Finland (NDU), which both ended by the end of 2022. One of them tried to find the answers to the main question: How artificial intelligence (AI) could be used to improve learning, teaching, and planning? The other tried to find the answer to the main question: What new skills do…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Teaching Methods, Learning Analytics
Sha, Lele; Rakovic, Mladen; Li, Yuheng; Whitelock-Wainwright, Alexander; Carroll, David; Gaševic, Dragan; Chen, Guanliang – International Educational Data Mining Society, 2021
Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…
Descriptors: Classification, Computer Mediated Communication, Learning Analytics, Data Analysis