Extended constructed response questions scoring with adaptive feedback / (Record no. 80442)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03276cam a2200337 a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | EG-GiCUC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250223032722.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210329s2021 ua dh f m 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | EG-GiCUC |
| Language of cataloging | eng |
| Transcribing agency | EG-GiCUC |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | Deposite |
| 097 ## - Thesis Degree | |
| Thesis Level | Ph.D |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | Cai01.20.03.Ph.D.2021.Mo.E |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Mohamed Abdellatif Hussein Mohamed |
| 245 10 - TITLE STATEMENT | |
| Title | Extended constructed response questions scoring with adaptive feedback / |
| Statement of responsibility, etc. | Mohamed Abdellatif Hussein Mohamed ; Supervised Hesham Ahmed Hassan , Mohammed Nassef Fatouh |
| 246 15 - VARYING FORM OF TITLE | |
| Title proper/short title | تصحيح آلى لأسئلة إنتاج الاستجابة المطولة مع تقديم تغذية راجعة تكيفية |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Cairo : |
| Name of publisher, distributor, etc. | Mohamed Abdellatif Hussein Mohamed , |
| Date of publication, distribution, etc. | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 114 Leaves : |
| Other physical details | charts , facsimiles ; |
| Dimensions | 30cm |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (Ph.D.) - Cairo University - Faculty of Computers and Artificial Intelligence - Department of Computer Science |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Over the past years, there are many Automated Essay Scoring (AES) systems that have been created based on Artificial Intelligence (AI) models. The improvement in deep learning has demonstrated that applying neural network approaches to AES systems has achieved state-of-the-art solutions. Most neural-based AES systems would allocate an overall score or mark to essays, even if they scored by using analytical scoring rubrics. The scoring of each trait in analytical rubrics helps to detect learners' levels of performance. Additionally, offering adaptive feedback to each learner about his/her writing is a vital component of assessing the performance. Constructing adaptive feedback to each learner empowers the identification of the learner's strengths and weaknesses. It also helps in improving learner's future writings. In this thesis, a framework has been built up to reinforce the validity of the scoring process and increase the reliability of a baseline neural-based AES model by evaluating the writing traits in addition to the overall writing. The model has been extended based on the prediction of the traits' scores to deliver trait-specific adaptive feedback. Multiple deep learning models of the automatic scoring were explored, and several analyses took place to come up with some indicators from these models. The findings of the experiments demonstrate that Long Short-Term Memory (LSTM) based system beat the baseline study by 4.6% in terms of the Quadratic Weighted Kappa (QWK). Likewise, the prediction of the traits' scores improves the efficacy of the prediction of the overall essay score. It is also found that the LSTM model is the best model to predict scores for essays that include relatively long sequences of words, which is consistent with the nature of the LSTM models. It is also found that the clarity of the scoring rubrics influences the accuracy of both human and the proposed model (AESAUG) scores |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Issued also as CD |
| 653 #4 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Adaptive feedback |
| 653 #4 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | AES System |
| 653 #4 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Trait evaluation |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Hesham Ahmed Hassan , |
| Relator term | |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mohammed Nassef Fatouh , |
| Relator term | |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a> |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) | |
| Cataloger | Nazla |
| Reviser | Revisor |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) | |
| Cataloger | Shimaa |
| Reviser | Cataloger |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Thesis |
| Source of classification or shelving scheme | Not for loan | Home library | Current library | Date acquired | Full call number | Barcode | Date last seen | Koha item type | Copy number |
|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | قاعة الرسائل الجامعية - الدور الاول | 11.02.2024 | Cai01.20.03.Ph.D.2021.Mo.E | 01010110083089000 | 22.09.2023 | Thesis | ||
| Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | مخـــزن الرســائل الجـــامعية - البدروم | 11.02.2024 | Cai01.20.03.Ph.D.2021.Mo.E | 01020110083089000 | 22.09.2023 | CD - Rom | 83089.CD |