Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
Source
| IEEE Transactions on Learning… | 2 |
Author
| Aldabe, Itziar | 1 |
| Arruarte, Ana | 1 |
| Barros, Beatriz | 1 |
| Bertoa, Manuel F. | 1 |
| Conejo, Ricardo | 1 |
| Elorriaga, Jon A. | 1 |
| Larranaga, Mikel | 1 |
| Maritxalar, Montse | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Larranaga, Mikel; Aldabe, Itziar; Arruarte, Ana; Elorriaga, Jon A.; Maritxalar, Montse – IEEE Transactions on Learning Technologies, 2022
In a concept learning scenario, any technology-supported learning system must provide students with mechanisms that help them with the acquisition of the concepts to be learned. For the technology-supported learning systems to be successful in this task, the development of didactic material is crucial--a hard task that could be alleviated by means…
Descriptors: Computer Assisted Testing, Science Tests, Multiple Choice Tests, Textbooks
Conejo, Ricardo; Barros, Beatriz; Bertoa, Manuel F. – IEEE Transactions on Learning Technologies, 2019
This paper presents an innovative method to tackle the automatic evaluation of programming assignments with an approach based on well-founded assessment theories (Classical Test Theory (CTT) and Item Response Theory (IRT)) instead of heuristic assessment as in other systems. CTT and/or IRT are used to grade the results of different items of…
Descriptors: Computer Assisted Testing, Grading, Programming, Item Response Theory

Peer reviewed
Direct link
