Computing with words for student peer assessment in oral presentation
Bibliographic Data
| ID | 12945186 |
|---|---|
| Authors | Mojdeh Rahmanian (0000-0003-0271-312X, Jahrom University), Mohammad Ali Shafieian (0000-0003-1397-0850, Shiraz University), Mohammad Ebrahim Samie (0000-0002-7109-2980, Jahrom University) |
| Year | 2021 |
| Volume | 34 |
| Issue | 01 |
| Pages | 229-241 |
| Publication date | 2021-04-14 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Nexo Revista Científica (JOURNAL) |
| Journal identifiers | ISSN: 1818-6742 • E-ISSN: 1995-9516 |
| Publisher | Consejo Nacional de Rectores (PUBLISHER) |
| DOI | 10.5377/nexo.v34i01.11302 |
| OpenAlex | W3154378738 |
| Language | EN |
| Citations received | 1 |
| References cited | 4 |
Peer assessment in an oral presentation can motivate and give more sense of responsibility to students. In recent years, various methods have been proposed to evaluate peers. In this paper, a novel peer online assessment method is proposed for oral presentation using perceptual computing. The output of the proposed system can be a numerical score for the overall assessment of a student in the presentation, which allows comparison and ranking of student performance. Furthermore, a linguistic evaluation that describes the student's performance is obtained from the system. A case study has been conducted to show the effectiveness of the proposed method; then the results are analyzed and reviewed
Information retrieval · Mathematics education · Multimedia · Natural language processing · Peer Assessment · Peer feedback · Perception · Presentation (obstetrics · Ranking (information retrieval · Computer Science · Educational Technology and Assessment · Medicine · Psychology · Student Assessment and Feedback
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |