Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 4 |
Descriptor
| Man Machine Systems | 4 |
| Programming Languages | 4 |
| Artificial Intelligence | 3 |
| Classification | 2 |
| College Students | 2 |
| Electronic Learning | 2 |
| Academic Achievement | 1 |
| At Risk Students | 1 |
| Attention | 1 |
| Chemistry | 1 |
| Cognitive Style | 1 |
| More ▼ | |
Source
| Chronicle of Higher Education | 1 |
| Educational Technology &… | 1 |
| International Review of… | 1 |
| Journal of Chemical Education | 1 |
Author
| Albert C. M. Yang | 1 |
| Anna Y. Q. Huang | 1 |
| Hew, Khe Foon | 1 |
| Hiroaki Ogata | 1 |
| Jei Wei Chang | 1 |
| Kirschenbaum, Matthew | 1 |
| Lee, Seung Eun | 1 |
| Qiao, Chen | 1 |
| Ruo Xuan Yen | 1 |
| Schrier, Joshua | 1 |
| Shun Ting Li | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 4 |
| Reports - Research | 3 |
| Opinion Papers | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 4 |
| Postsecondary Education | 2 |
Audience
Location
| Taiwan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Thrall, Elizabeth S.; Lee, Seung Eun; Schrier, Joshua; Zhao, Yijun – Journal of Chemical Education, 2021
Techniques from the branch of artificial intelligence known as machine learning (ML) have been applied to a wide range of problems in chemistry. Nonetheless, there are very few examples of pedagogical activities to introduce ML to chemistry students in the chemistry education literature. Here we report a computational activity that introduces…
Descriptors: Undergraduate Students, Artificial Intelligence, Man Machine Systems, Science Education
Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
Hew, Khe Foon; Qiao, Chen; Tang, Ying – International Review of Research in Open and Distributed Learning, 2018
Although massive open online courses (MOOCs) have attracted much worldwide attention, scholars still understand little about the specific elements that students find engaging in these large open courses. This study offers a new original contribution by using a machine learning classifier to analyze 24,612 reflective sentences posted by 5,884…
Descriptors: Learner Engagement, Large Group Instruction, Online Courses, Man Machine Systems
Kirschenbaum, Matthew – Chronicle of Higher Education, 2009
The author advocates that humanities scholars should seek and study programming languages. He believes that, increasingly, an appreciation of how complex ideas can be imagined and expressed as a set of formal procedures--rules, models, algorithms--in the virtual space of a computer will be an essential element of a humanities education. Students…
Descriptors: Programming Languages, Student Motivation, Artificial Intelligence, Computer Mediated Communication

Peer reviewed
Direct link
