| 1 |
Using Automatic Speech Recognition to Assess Thai Speech Language Fluency in the Montreal Cognitive Assessment (MoCA)
|
|
|
|
In: Sensors; Volume 22; Issue 4; Pages: 1583 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
Commonsense Knowledge-Aware Prompt Tuning for Few-Shot NOTA Relation Classification
|
|
|
|
In: Applied Sciences; Volume 12; Issue 4; Pages: 2185 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
On the Difference of Scoring in Speech in Babble Tests
|
|
|
|
In: Healthcare; Volume 10; Issue 3; Pages: 458 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Preference Aggregation in the Generalised Unavailable Candidate Model
|
|
|
|
In: 7th International Conference on Algorithmic Decision Theory ; https://hal.sorbonne-universite.fr/hal-03384439 ; 7th International Conference on Algorithmic Decision Theory, University of Toulouse, Nov 2021, Toulouse, France. pp.35-50, ⟨10.1007/978-3-030-87756-9_3⟩ ; https://www.irit.fr/ADT2021/ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Predicting CEFR levels in learners of English: The use of microsystem criterial features in a machine learning approach
|
|
|
|
In: ISSN: 0958-3440 ; EISSN: 0958-3440 ; ReCALL ; https://hal.archives-ouvertes.fr/hal-03428636 ; ReCALL, Cambridge University Press (CUP), 2021, pp.1-17. ⟨10.1017/S095834402100029X⟩ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
LATIC: A Non-native Pre-labelled Mandarin Chinese Validation Corpus for Automatic Speech Scoring and Evaluation Task ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Policy in Practice: Teachers’ Conceptualizations of L2 English Oral Proficiency as Operationalized in High-Stakes Test Assessment
|
|
|
|
In: Languages; Volume 6; Issue 4; Pages: 204 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
The lrd package: An R package and Shiny application for processing lexical data
|
|
|
|
In: Faculty Publications (2021)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Artificial intelligence in educational assessment: ‘Breakthrough? Or buncombe and ballyhoo?’
|
|
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Removing Barriers to Language Sample Analysis: Computer-Automated Microstructure Scoring (CAMS)
|
|
|
|
In: All Graduate Theses and Dissertations (2021)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
The BABEL Generator and E-Rater: 21st Century Writing Constructs and Automated Essay Scoring (AES)
|
|
|
|
In: Journal of Writing Assessment, vol 13, iss 1 (2020)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Study on the Level of Knowledge in Dental Medical Emergencies of Dentistry Students through Neutrosophic Values ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Study on the Level of Knowledge in Dental Medical Emergencies of Dentistry Students through Neutrosophic Values ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 15 |
New methodologies for second language assessment : measuring and identifying profiles in migrant school contexts
|
|
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Modeling statistics ITAs’ speaking performances in a certification test
|
|
|
|
In: Graduate Theses and Dissertations (2020)
|
|
BASE
|
|
Show details
|
|
|
| 17 |
sj-pdf-1-ltj-10.1177_0265532220929918 - Supplemental material for Automated scoring of junior and senior high essays using Coh-Metrix features: Implications for large-scale language testing
|
|
|
|
BASE
|
|
Show details
|
|
|
| 18 |
Automated prediction of examinee proficiency from short-answer questions
|
|
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Development of First- and Second-Language Vocabulary Knowledge among Language-Minority Children: Evidence from Single Language and Conceptual Scores
|
|
|
|
In: Special Education and Communication Disorders Faculty Publications (2020)
|
|
BASE
|
|
Show details
|
|
|
| 20 |
The effect of raters fatigue on scoring EFL writing tasks
|
|
|
|
In: Indonesian Journal of Applied Linguistics, Vol 10, Iss 1, Pp 1-13 (2020) (2020)
|
|
Abstract:
Given the importance of testing, in general, and scoring writing tasks in particular, the negative effect of fatigue on human raters is important to investigate. This study aimed to (1) explore the relationship between fatigue and scoring composition tasks written by upper-intermediate EFL learners; and (2) to investigate the discrepancy of the frequency of comments among EFL raters while scoring composition tasks. Four raters were selected, and each given 28 composition tasks to score and comment on. The data were analyzed through SPSS software by running ANOVA, Pearson correlation coefficient, and post-hoc tests. Results suggested that the scores assigned to the first 16 tasks were significantly lower than those assigned to the last 12 tasks and that the last four tasks were scored highest. Based on the results obtained from the questionnaire, the observed diversity is argued to be rooted in raters’ fatigue and result in test bias. Furthermore, findings indicated that the frequency of comments given by the raters on the first 12 essays was significantly higher than those on the last 16 essays (the highest and the lowest frequency of comments were observed in the first four, and the last four scored essays, respectively).
|
|
Keyword:
assessing writing; efl writing; fatigue; Language. Linguistic theory. Comparative grammar; LC8-6691; P101-410; rater consistency; reliability; scoring composition tasks; Special aspects of education
|
|
URL: https://doi.org/10.17509/ijal.v10i1.24956
https://doaj.org/article/de5af3d61a6244949a399685de699d1e
|
|
BASE
|
|
Hide details
|
|
|
|
|
