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Lee, Hee-Sun; Gweon, Gey-Hong; Lord, Trudi; Paessel, Noah; Pallant, Amy; Pryputniewicz, Sarah – Journal of Science Education and Technology, 2021
A design study was conducted to test a machine learning (ML)-enabled automated feedback system developed to support students' revision of scientific arguments using data from published sources and simulations. This paper focuses on three simulation-based scientific argumentation tasks called Trap, Aquifer, and Supply. These tasks were part of an…
Descriptors: Artificial Intelligence, Automation, Feedback (Response), Persuasive Discourse
Davis, Larry; Papageorgiou, Spiros – Assessment in Education: Principles, Policy & Practice, 2021
Human raters and machine scoring systems potentially have complementary strengths in evaluating language ability; specifically, it has been suggested that automated systems might be used to make consistent measurements of specific linguistic phenomena, whilst humans evaluate more global aspects of performance. We report on an empirical study that…
Descriptors: Scoring, English for Academic Purposes, Oral English, Speech Tests
Rand, Angela Doucet; Shepard, Beth Rugan – Quarterly Review of Distance Education, 2020
The academic library has always provided electronic access to the majority of its available services to its patrons. Reference, research, instruction, and some library materials have been available online for more than a decade, but face-to-face interactions with faculty and students still defined the services and communication strategies of the…
Descriptors: Academic Libraries, COVID-19, Pandemics, Library Services
Aristidou, Michael – Athens Journal of Education, 2020
As it is already observed by mathematicians and educators, there is a discrepancy between the formal techniques of mathematical logic and the informal techniques of mathematics in regards to proof. We examine some of the reasons behind this discrepancy and to what degree it affects doing, teaching and learning mathematics in college. We also…
Descriptors: Mathematical Logic, Mathematics Instruction, College Mathematics, College Students
Audette, Lillian M.; Hammond, Marie S.; Rochester, Natalie K. – Educational and Psychological Measurement, 2020
Longitudinal studies are commonly used in the social and behavioral sciences to answer a wide variety of research questions. Longitudinal researchers often collect data anonymously from participants when studying sensitive topics to ensure that accurate information is provided. One difficulty gathering longitudinal anonymous data is that of…
Descriptors: Research Methodology, Longitudinal Studies, Research Design, Social Science Research
Porter, Toccara D. – Journal of Access Services, 2020
Tennessee State University was a decade long user of OCLC's ILLiad platform. 2019 marked the year when the relationship with that system ended as our two interlibrary loan departments migrated to Tipasa, OCLC's new cloud-based system. The platform change did not stem from dissatisfaction with ILLiad but from being informed that Tipasa would…
Descriptors: Academic Libraries, Library Services, Program Implementation, Computer Software
Morrison, Timothy G.; Wilcox, Brad – Education Sciences, 2020
Educators struggle to assess various aspects of reading in valid and reliable ways. Whether it is comprehension, phonological awareness, vocabulary, or phonics, determining appropriate assessments is challenging across grade levels and student abilities. Also challenging is measuring aspects of fluency: rate, accuracy, and prosody. This article…
Descriptors: Oral Reading, Reading Fluency, Suprasegmentals, Expressive Language
Martin, Kit; Horn, Michael; Wilensky, Uri – Informatics in Education, 2020
This paper introduces constructivist dialogue mapping (CDM), a new type of concept mapping. CDM encodes what people learn during a non-goal directed learning activity. CDM is a practical means to outline the mini theories users fluidly construct as they explore open-ended learning environments. To demonstrate the method, in this paper we use CDM…
Descriptors: Concept Mapping, Constructivism (Learning), Learning Activities, Concept Formation
Martin, Kit; Horn, Michael; Wilensky, Uri – Grantee Submission, 2020
This paper introduces constructivist dialogue mapping (CDM), a new type of concept mapping. CDM encodes what people learn during a non-goal directed learning activity. CDM is a practical means to outline the mini theories users fluidly construct as they explore open-ended learning environments. To demonstrate the method, in this paper we use CDM…
Descriptors: Concept Mapping, Constructivism (Learning), Learning Activities, Concept Formation
Myers, Matthew C.; Wilson, Joshua – International Journal of Artificial Intelligence in Education, 2023
This study evaluated the construct validity of six scoring traits of an automated writing evaluation (AWE) system called "MI Write." Persuasive essays (N = 100) written by students in grades 7 and 8 were randomized at the sentence-level using a script written with Python's NLTK module. Each persuasive essay was randomized 30 times (n =…
Descriptors: Construct Validity, Automation, Writing Evaluation, Algorithms
Gong, Kaixuan – Asian-Pacific Journal of Second and Foreign Language Education, 2023
The extensive use of automated speech scoring in large-scale speaking assessment can be revolutionary not only to test design and rating, but also to the learning and instruction of speaking based on how students and teachers perceive and react to this technology. However, its washback remained underexplored. This mixed-method study aimed to…
Descriptors: Second Language Learning, Language Tests, English (Second Language), Automation
Wei-Yan Li; Kevin Kau; Yi-Jiun Shiung – SAGE Open, 2023
Automated Writing Evaluation (AWE) software has been viewed as a promising tool for assisting writing. This study integrated AWE and its combination with peer review discussion into writing practice in a large college writing class in the Asian context. Adopting a mixed-method approach, this study employed a quantitative questionnaire to…
Descriptors: Feedback (Response), Writing Evaluation, Computer Software, Automation
Gary Cheng; Gloria Shu-Mei Chwo; Wing Shui Ng – Interactive Learning Environments, 2023
Teacher feedback can be useful in helping English as Foreign Language (EFL) students revise their draft writing. Investigating how EFL students respond to various types of teacher feedback in draft revision has been regarded as an important field of study. However, such investigation is time-consuming and labour-intensive, which limits its…
Descriptors: English (Second Language), Second Language Instruction, Feedback (Response), Writing Instruction
Alnasser, Suliman M. N. – SAGE Open, 2022
Recently, the integration of computer-based feedback (CBF) systems, as assistive tools for instructors, into EFL writing contexts has attracted researchers' attention. However, EFL learners' perceptions toward such tools' application remain under-investigated. Therefore, this study investigates EFL learners' perceptions toward integrating CBF into…
Descriptors: Foreign Countries, Feedback (Response), Writing Instruction, English (Second Language)
The White House, 2022
Among the great challenges posed to democracy today is the use of technology, data, and automated systems in ways that threaten the rights of the American public. Too often, these tools are used to limit our opportunities and prevent our access to critical resources or services. These problems are well documented. In America and around the world,…
Descriptors: Artificial Intelligence, Algorithms, Privacy, Information Security