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Dadi Ramesh; Suresh Kumar Sanampudi – European Journal of Education, 2024
Automatic essay scoring (AES) is an essential educational application in natural language processing. This automated process will alleviate the burden by increasing the reliability and consistency of the assessment. With the advances in text embedding libraries and neural network models, AES systems achieved good results in terms of accuracy.…
Descriptors: Scoring, Essays, Writing Evaluation, Memory
Shin, Jinnie; Gierl, Mark J. – Language Testing, 2021
Automated essay scoring (AES) has emerged as a secondary or as a sole marker for many high-stakes educational assessments, in native and non-native testing, owing to remarkable advances in feature engineering using natural language processing, machine learning, and deep-neural algorithms. The purpose of this study is to compare the effectiveness…
Descriptors: Scoring, Essays, Writing Evaluation, Computer Software
Doewes, Afrizal; Saxena, Akrati; Pei, Yulong; Pechenizkiy, Mykola – International Educational Data Mining Society, 2022
In Automated Essay Scoring (AES) systems, many previous works have studied group fairness using the demographic features of essay writers. However, individual fairness also plays an important role in fair evaluation and has not been yet explored. Initialized by Dwork et al., the fundamental concept of individual fairness is "similar people…
Descriptors: Scoring, Essays, Writing Evaluation, Comparative Analysis
Yi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
Mohaddeseh Salimpoor Aghdam; Javad Gholami; Mahnaz Saeidi – Language Teaching Research Quarterly, 2024
The need to create more efficient approaches to teaching L2 writing has grown due to the increasing demands placed on English writing proficiency in a global setting. The present investigation aimed to explore the impacts of the ENGAGE Model and task-based language teaching (TBLT) method on Iranian EFL learners' overall L2 writing performance.…
Descriptors: Task Analysis, English (Second Language), Second Language Learning, Second Language Instruction
Litman, Diane; Zhang, Haoran; Correnti, Richard; Matsumura, Lindsay Clare; Wang, Elaine – Grantee Submission, 2021
Automated Essay Scoring (AES) can reliably grade essays at scale and reduce human effort in both classroom and commercial settings. There are currently three dominant supervised learning paradigms for building AES models: feature-based, neural, and hybrid. While feature-based models are more explainable, neural network models often outperform…
Descriptors: Essays, Writing Evaluation, Models, Accuracy
Kurniawan, Heru; Budiyono; Sajidan; Siswandari – International Journal of Instruction, 2021
The issue of higher-order thinking skills in Indonesia began to be raised in line with the changing goals of mathematics learning. The efforts have been made to be able to produce improved thinking skills, one of which is the PINTER model. This study aimed to see if there are any differences in higher-order thinking skills and mathematical…
Descriptors: Algebra, Mathematics Instruction, Teaching Methods, Thinking Skills
Zou, Di; Xie, Haoran; Rao, Yanghui; Wong, Tak-Lam; Wang, Fu Lee; Wu, Qingyuan – International Journal of Distance Education Technologies, 2017
The world has encountered and witnessed the great popularity of various emerging e-learning resources such as massive open online courses (MOOCs), textbooks and videos with the development of the big data era. It is critical to understand the characteristics of users to assist them to find desired and relevant learning resources in such a large…
Descriptors: Comparative Analysis, Vocabulary Development, Predictor Variables, Prior Learning
Vajjala, Sowmya – International Journal of Artificial Intelligence in Education, 2018
Automatic essay scoring (AES) refers to the process of scoring free text responses to given prompts, considering human grader scores as the gold standard. Writing such essays is an essential component of many language and aptitude exams. Hence, AES became an active and established area of research, and there are many proprietary systems used in…
Descriptors: Computer Software, Essays, Writing Evaluation, Scoring
Ramineni, Chaitanya – Assessing Writing, 2013
In this paper, I describe the design and evaluation of automated essay scoring (AES) models for an institution's writing placement program. Information was gathered on admitted student writing performance at a science and technology research university in the northeastern United States. Under timed conditions, first-year students (N = 879) were…
Descriptors: Validity, Comparative Analysis, Internet, Student Placement
Ramineni, Chaitanya; Trapani, Catherine S.; Williamson, David M. – ETS Research Report Series, 2015
Automated scoring models were trained and evaluated for the essay task in the "Praxis I"® writing test. Prompt-specific and generic "e-rater"® scoring models were built, and evaluation statistics, such as quadratic weighted kappa, Pearson correlation, and standardized differences in mean scores, were examined to evaluate the…
Descriptors: Writing Tests, Licensing Examinations (Professions), Teacher Competency Testing, Scoring
Saa'd AlDin, Kawther – ProQuest LLC, 2014
In 2010, the International Baccalaureate (IB) Organization mandated that all its schools, including Diploma (DP) schools, adhere to the collaborative planning and reflection requirements, which emphasized the importance of integrating its theory of knowledge (TOK) core component into all disciplines. Many schools officials and educations in Amman…
Descriptors: Foreign Countries, Cooperative Planning, Reflection, Knowledge Level
Cuthrell, Kristen; Steadman, Sharilyn C.; Stapleton, Joy; Hodge, Elizabeth – New Educator, 2016
This article explores the impact of a video observation model developed for teacher candidates in an early experiences course. Video Grand Rounds (VGR) combines a structured observation protocol, videos, and directed debriefing to enhance teacher candidates' observations skills within nonstructured and field-based observations. A comparative…
Descriptors: Video Technology, Observation, Models, Preservice Teachers
Proske, Antje; Roscoe, Rod D.; McNamara, Danielle S. – Educational Technology Research and Development, 2014
Achieving sustained student engagement with practice in computer-based writing strategy training can be a challenge. One potential solution is to foster engagement by embedding practice in educational games; yet there is currently little research comparing the effectiveness of game-based practice versus more traditional forms of practice. In this…
Descriptors: Educational Games, Computer Games, Student Motivation, Academic Achievement
Proske, Antje; Roscoe, Rod D.; McNamara, Danielle S. – Grantee Submission, 2014
Achieving sustained student engagement with practice in computer-based writing strategy training can be a challenge. One potential solution is to foster engagement by embedding practice in educational games; yet there is currently little research comparing the effectiveness of game-based practice versus more traditional forms of practice. In this…
Descriptors: Educational Games, Computer Games, Student Motivation, Academic Achievement
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