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Mahowald, Kyle; Kachergis, George; Frank, Michael C. – First Language, 2020
Ambridge calls for exemplar-based accounts of language acquisition. Do modern neural networks such as transformers or word2vec -- which have been extremely successful in modern natural language processing (NLP) applications -- count? Although these models often have ample parametric complexity to store exemplars from their training data, they also…
Descriptors: Models, Language Processing, Computational Linguistics, Language Acquisition
Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – Grantee Submission, 2020
For decades, educators have relied on readability metrics that tend to oversimplify dimensions of text difficulty. This study examines the potential of applying advanced artificial intelligence methods to the educational problem of assessing text difficulty. The combination of hierarchical machine learning and natural language processing (NLP) is…
Descriptors: Natural Language Processing, Artificial Intelligence, Man Machine Systems, Classification
Hamed Asgari; Georges Antoniadis – International Association for Development of the Information Society, 2022
Mobile artifacts are the objects that increasingly surround us in life. They provide us with the opportunity to engage in activities outside the traditional context and at our own pace. In this article, we present the results of the tests of our mobile application intended for the learning of the French language with the concept of SPOC with a…
Descriptors: French, Second Language Learning, Second Language Instruction, Natural Language Processing
Shaari, Anis; Hamzah, Aswati – Asian Journal of University Education, 2016
Standing for Neurolinguistic Programming, the acronym 'NLP' has become an emergent approach to communication and personal development which has gained worldwide interest. Containing a set of strategies that is highly claimed to be effective in enhancing oneself personally, NLP has also become progressively more recognisable in the education…
Descriptors: Constructivism (Learning), Neurolinguistics, Educational Practices, Educational Philosophy
Burstein, Jill; McCaffrey, Daniel; Beigman Klebanov, Beata; Ling, Guangming; Holtzman, Steven – Grantee Submission, 2019
Writing is a challenge and a potential obstacle for students in U.S. 4-year postsecondary institutions lacking prerequisite writing skills. This study aims to address the research question: Is there a relationship between specific features (analytics) in coursework writing and broader success predictors? Knowledge about this relationship could…
Descriptors: Undergraduate Students, Writing (Composition), Writing Evaluation, Learning Analytics
Javier Leung – Quarterly Review of Distance Education, 2023
This research brief comprises three articles published in the three-article dissertation at the University of Missouri (MU) in February 2023. The three-article dissertation, "An Exploration of Online Information Spaces That Support Instructional Design and Teacher Professional Development," examined three online communities of practice…
Descriptors: Communities of Practice, Instructional Design, Faculty Development, Educational Technology
Sullivan, Florence R.; Keith, P. Kevin – British Journal of Educational Technology, 2019
In this study, we explore the potential of a natural language processing (NLP) approach to support discourse analysis of in-situ, small group learning conversations. The theoretical basis of this work derives from Bakhtin's notion of speech genres as bounded by educational robotics activity. Our goal is to leverage computational linguistics…
Descriptors: Natural Language Processing, Discourse Analysis, Group Discussion, Middle School Students
Say What? Automatic Modeling of Collaborative Problem Solving Skills from Student Speech in the Wild
Pugh, Samuel L.; Subburaj, Shree Krishna; Rao, Arjun Ramesh; Stewart, Angela E. B.; Andrews-Todd, Jessica; D'Mello, Sidney K. – International Educational Data Mining Society, 2021
We investigated the feasibility of using automatic speech recognition (ASR) and natural language processing (NLP) to classify collaborative problem solving (CPS) skills from recorded speech in noisy environments. We analyzed data from 44 dyads of middle and high school students who used videoconferencing to collaboratively solve physics and math…
Descriptors: Problem Solving, Cooperation, Middle School Students, High School Students
Allen, Laura K.; Creer, Sarah D.; Poulos, Mary Cati – Grantee Submission, 2021
Research in discourse processing has provided us with a strong foundation for understanding the characteristics of text and discourse, as well as their influence on our processing and representation of texts. However, recent advances in computational techniques have allowed researchers to examine discourse processes in new ways. The purpose of the…
Descriptors: Natural Language Processing, Computation, Discourse Analysis, Computer Science
Rybinski, Krzysztof – Quality Assurance in Education: An International Perspective, 2020
Purpose: This paper aims to analyse the relationship between two measures of university quality, the outcome and other characteristics of a mandatory accreditation and the university position in the national ranking. Design/methodology/approach: Natural language processing (NLP) models are used to calculate the sentiment indicators for 1,850…
Descriptors: Foreign Countries, Reputation, Accreditation (Institutions), Higher Education
Dawar, Deepak – Information Systems Education Journal, 2022
Learning computer programming is a challenging task for most beginners. Demotivation and learned helplessness are pretty common. A novel instructional technique that leverages the value-expectancy motivational model of student learning was conceptualized by the author to counter the lack of motivation in the introductory class. The result was a…
Descriptors: Teaching Methods, Introductory Courses, Computer Science Education, Assignments
Akpinar, Nil-Jana; Ramdas, Aaditya; Acar, Umut – International Educational Data Mining Society, 2020
Educational software data promises unique insights into students' study behaviors and drivers of success. While much work has been dedicated to performance prediction in massive open online courses, it is unclear if the same methods can be applied to blended courses and a deeper understanding of student strategies is often missing. We use pattern…
Descriptors: Learning Strategies, Blended Learning, Learning Analytics, Student Behavior
Writing to Increase Complexity: Spanish L2 Learners' Complexity Gains in a College Composition Class
Restrepo-Ramos, Falcon – Hispania, 2021
This study examines the linguistic complexity of Spanish as a second language (L2) in learners' essays across proficiency levels at two timelines of a composition class during a college semester. Data comes from 22 L2 learners of Spanish enrolled in two sections of a third-year composition class at the college level, who were assigned nine…
Descriptors: Spanish, Writing Instruction, Second Language Learning, Second Language Instruction
Schäffer, Burkhard; Lieder, Fabio Roman – Journal of Research on Technology in Education, 2023
This article highlights teaching and learning in reconstructive research supported by artificial intelligence (AI) and machine interpretation in particular. The focus is whether the traditional teaching of methodological competence through research workshops can be supplemented with artificial intelligence (natural language processing, NLP)…
Descriptors: Artificial Intelligence, Social Science Research, Qualitative Research, Technology Uses in Education
Anson, Chris M. – Composition Studies, 2022
Student plagiarism has challenged educators for decades, with heightened paranoia following the advent of the Internet in the 1980's and ready access to easily copied text. But plagiarism will look like child's play next to new developments in AI-based natural-language processing (NLP) systems that increasingly appear to "write" as…
Descriptors: Plagiarism, Artificial Intelligence, Natural Language Processing, Writing Assignments