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Zhang, Haoran; Litman, Diane – Grantee Submission, 2018
This paper presents an investigation of using a co-attention based neural network for source-dependent essay scoring. We use a co-attention mechanism to help the model learn the importance of each part of the essay more accurately. Also, this paper shows that the co-attention based neural network model provides reliable score prediction of…
Descriptors: Essays, Scoring, Automation, Artificial Intelligence
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Wan, Qian; Crossley, Scott; Allen, Laura; McNamara, Danielle – Grantee Submission, 2020
In this paper, we extracted content-based and structure-based features of text to predict human annotations for claims and nonclaims in argumentative essays. We compared Logistic Regression, Bernoulli Naive Bayes, Gaussian Naive Bayes, Linear Support Vector Classification, Random Forest, and Neural Networks to train classification models. Random…
Descriptors: Persuasive Discourse, Essays, Writing Evaluation, Natural Language Processing
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Dhavala, Soma; Bhatia, Chirag; Bose, Joy; Faldu, Keyur; Avasthi, Aditi – International Educational Data Mining Society, 2020
A good diagnostic assessment is one that can (i) discriminate between students of different abilities for a given skill set, (ii) be consistent with ground truth data and (iii) achieve this with as few assessment questions as possible. In this paper, we explore a method to meet these objectives. This is achieved by selecting questions from a…
Descriptors: Automation, Diagnostic Tests, Test Construction, Test Items
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Olipas, Cris Norman P.; Esperon, Rubelyn M. – Online Submission, 2020
This study aims to design and develop a Cashless Payment System with Automatic Identification and Data Collection (AIDC) technology in an educational institution in the Province of Nueva Ecija, Philippines to understand the processes and activities undertaken to develop the project. It utilizes a descriptive and developmental method of research…
Descriptors: Online Systems, Money Management, Banking, Automation
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Ayse Taskiran; Mujgan Yazici; Irem Erdem Aydin – E-Learning and Digital Media, 2024
In recent years, automated feedback (AF) has greatly increased its applicability as a mean to support development of English as a foreign language (EFL) learners' writing competence in the context of face-to-face education. This study examines contribution of AF to the development of writing competence of EFL learners in open and distance learning…
Descriptors: Automation, Feedback (Response), Writing (Composition), English (Second Language)
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Xiaojun Xu; Guanghui Cheng – College & Research Libraries, 2024
The purpose of this study is to explore the realization of users' information rights (IRs) in the smart service of university libraries. Based on the LibQUAL model, principal component analysis (PCA) is used to measure the quality of smart services in university libraries. The contribution weight of various services to the realization of IRs is…
Descriptors: Foreign Countries, Research Libraries, Academic Libraries, Library Services
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Turgay Han; Elif Sari – Computer Assisted Language Learning, 2024
Feedback is generally regarded as an integral part of EFL writing instruction. Giving individual feedback on students' written products can lead to a demanding, if not insurmountable, task for EFL writing teachers, especially in classes with a large number of students. Several Automated Writing Evaluation (AWE) systems which can provide automated…
Descriptors: Foreign Countries, Automation, Feedback (Response), English (Second Language)
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Franz Holzknecht; Sandrine Tornay; Alessia Battisti; Aaron Olaf Batty; Katja Tissi; Tobias Haug; Sarah Ebling – Language Assessment Quarterly, 2024
Although automated spoken language assessment is rapidly growing, such systems have not been widely developed for signed languages. This study provides validity evidence for an automated web application that was developed to assess and give feedback on handshape and hand movement of L2 learners' Swiss German Sign Language signs. The study shows…
Descriptors: Sign Language, Vocabulary Development, Educational Assessment, Automation
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Garman, Andrew N.; Erwin, Taylor S.; Garman, Tyler R.; Kim, Dae Hyun – Journal of Competency-Based Education, 2021
Background: Competency models provide useful frameworks for organizing learning and assessment programs, but their construction is both time intensive and subject to perceptual biases. Some aspects of model development may be particularly well-suited to automation, specifically natural language processing (NLP), which could also help make them…
Descriptors: Natural Language Processing, Automation, Guidelines, Leadership Effectiveness
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Smythe, Suzanne; Grotlüschen, Anke; Buddeberg, Klaus – Studies in the Education of Adults, 2021
Online technologies have entered almost all spheres of life, introducing new challenges to how literacies are theorised, defined and taken up in adult literacy education settings. This process has accelerated during the COVID-19 pandemic and on a global scale, as more services, resources and information move online. An important, if under-studied…
Descriptors: Recruitment, Adults, Job Applicants, Computer Use
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Kabassi, Katerina; Martinis, Aristotelis; Charizanos, Panagiotis – Applied Environmental Education and Communication, 2021
Persons in the field of Environmental Education (EE) often have difficulty identifying and selecting educational programs that have the potential to best maximize needed resources to implement and achieve desired outcomes due, in part, to their lack of expertise in evaluation knowledge and practice. This article presents an approach for using a…
Descriptors: Program Effectiveness, Program Evaluation, Evaluation Criteria, Evaluation Methods
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Huang, Changqin; Wu, Xuemei; Wang, Xizhe; He, Tao; Jiang, Fan; Yu, Jianhui – Educational Technology & Society, 2021
Collaborative reflection (co-reflection) plays a vital role in collaborative knowledge construction and behavior shared regulation. Although the mixed effect of online co-reflection was reported in the literature, few studies have comprehensively examined both individual and group factors and their relationships that affect the co-reflection…
Descriptors: Cooperation, Reflection, Objectives, Achievement Need
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Gardner, John; O'Leary, Michael; Yuan, Li – Journal of Computer Assisted Learning, 2021
Artificial Intelligence is at the heart of modern society with computers now capable of making process decisions in many spheres of human activity. In education, there has been intensive growth in systems that make formal and informal learning an anytime, anywhere activity for billions of people through online open educational resources and…
Descriptors: Artificial Intelligence, Educational Assessment, Formative Evaluation, Summative Evaluation
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Qian, Leyi; Yang, Yong; Zhao, Yali – Reading and Writing: An Interdisciplinary Journal, 2021
This study aims to explore to what extent syntactic complexity predicts holistic scores generated by China's two prominent automated writing evaluation systems--"pigai" and "iWrite," the results of which will have some implications for the validity of these two systems. In the meanwhile, this study targets how syntactic…
Descriptors: Foreign Countries, Syntax, Difficulty Level, Scores
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Baral, Sami; Botelho, Anthony F.; Erickson, John A.; Benachamardi, Priyanka; Heffernan, Neil T. – International Educational Data Mining Society, 2021
Open-ended questions in mathematics are commonly used by teachers to monitor and assess students' deeper conceptual understanding of content. Student answers to these types of questions often exhibit a combination of language, drawn diagrams and tables, and mathematical formulas and expressions that supply teachers with insight into the processes…
Descriptors: Scoring, Automation, Mathematics Tests, Student Evaluation
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