NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 691 to 705 of 1,532 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Weinstein, Theresa J.; Ceh, Simon Majed; Meinel, Christoph; Benedek, Mathias – Creativity Research Journal, 2022
Evaluating creativity of verbal responses or texts is a challenging task due to psychometric issues associated with subjective ratings and the peculiarities of textual data. We explore an approach to objectively assess the creativity of responses in a sentence generation task to (1) better understand what language-related aspects are valued by…
Descriptors: Creativity, Sentences, Natural Language Processing, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Bóbó, Míria L. D. R.; Campos, Fernanda; Stroele, Victor; David, José Maria N.; Braga, Regina; Torrent, Tiago Timponi – International Journal of Distance Education Technologies, 2022
Dropping out of school comes from a long-term disengagement process with social and economic consequences. Being able to predict students' behavior earlier can minimize their failures and disengagement. This article presents the SASys architecture based on a lexical approach and a polarized frame network. Its main goal is to define the author's…
Descriptors: Dropout Prevention, Psychological Patterns, Learner Engagement, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Bonikowski, Bart; Luo, Yuchen; Stuhler, Oscar – Sociological Methods & Research, 2022
Radical-right campaigns commonly employ three discursive elements: anti-elite populism, exclusionary and declinist nationalism, and authoritarianism. Recent scholarship has explored whether these frames have diffused from radical-right to centrist parties in the latter's effort to compete for the former's voters. This study instead investigates…
Descriptors: Political Attitudes, Nationalism, Authoritarianism, Voting
Boon, Ian Gregory – ProQuest LLC, 2022
It is standardly believed that some occurrences of expressions designate singularly, while other occurrences of expressions designate plurally. For instance, the singular expression the student may be used on an occasion to talk about one particular student, while the plural expression the students may be used on an occasion to talk about several…
Descriptors: Grammar, Morphemes, Language Usage, Essays
Alex Warstadt – ProQuest LLC, 2022
Data-driven learning uncontroversially plays a role in human language acquisition--how large a role is a matter of much debate. The success of artificial neural networks in NLP in recent years calls for a re-evaluation of our understanding of the possibilities for learning grammar from data alone. This dissertation argues the case for using…
Descriptors: Language Acquisition, Artificial Intelligence, Computational Linguistics, Ethics
Gloria Ashiya Katuka – ProQuest LLC, 2024
Dialogue act (DA) classification plays an important role in understanding, interpreting and modeling dialogue. Dialogue acts (DAs) represent the intended meaning of an utterance, which is associated with the illocutionary force (or the speaker's intention), such as greetings, questions, requests, statements, and agreements. In natural language…
Descriptors: Dialogs (Language), Classification, Intention, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Wonkyung Choi; Jun Jo; Geraldine Torrisi-Steele – International Journal of Adult Education and Technology, 2024
Despite best efforts, the student experience remains poorly understood. One under-explored approach to understanding the student experience is the use of big data analytics. The reported study is a work in progress aimed at exploring the value of big data methods for understanding the student experience. A big data analysis of an open dataset of…
Descriptors: College Students, Data Analysis, Data Collection, Learning Analytics
Peer reviewed Peer reviewed
Direct linkDirect link
Manik R. Reddy; Nils G. Walter; Yulia V. Sevryugina – Journal of Chemical Education, 2024
The effective and responsible educational application of ChatGPT and other generative artificial intelligence (GenAI) tools constitutes an active area of exploration. This study describes and assesses the implementation of a structured, GenAI-assisted scientific essay writing assignment in nucleic acid biochemistry. Briefly, students created,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Writing Assignments, Biochemistry
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Lucas Kohnke; Mark B. Ulla – Knowledge Management & E-Learning, 2024
This study explored the perspectives of English instructors from Thai higher education institutions, with a focus on teachers' familiarity with generative artificial intelligence (GenAI) and its potential impact on teachers' professional roles and responsibilities. The results suggested that GenAI tools may allow English instructors to transition…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, English (Second Language)
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Irfan, Rabia; Khan, Sharifullah; Abbas, Muhammad Azeem; Shah, Asad Ali – Information Research: An International Electronic Journal, 2019
Introduction. Taxonomy is an effective mean of managing and accessing a large amount of digital information. Various techniques have been developed to generate taxonomy automatically. The purpose of this study is threefold: (i) review methods and approaches adopted during taxonomy generation, (ii) identify the factors influencing the choice of a…
Descriptors: Literature Reviews, Taxonomy, Semantics, Natural Language Processing
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kolb, John; Farrar, Scott; Pardos, Zachary A. – International Educational Data Mining Society, 2019
Misconceptions have been an important area of study in STEM education towards improving our understanding of learners' construction of knowledge. The advent of largescale tutoring systems has given rise to an abundance of data in the form of learner question-answer logs in which signatures of misconceptions can be mined. In this work, we explore…
Descriptors: Misconceptions, Expertise, Mathematics Teachers, Semantics
Peer reviewed Peer reviewed
Direct linkDirect link
Odden, Tor Ole B.; Marin, Alessandro; Rudolph, John L. – Science Education, 2021
For well over a century, the journal "Science Education" has been publishing articles about the teaching and learning of science. These articles represent more than just a repository of past work: they have the potential to offer insights into both the history of science education as well as well as the dynamics of field-specific change.…
Descriptors: Science Education, Periodicals, Literature Reviews, Natural Language Processing
Peer reviewed Peer reviewed
PDF on ERIC Download full text
McFarland, Daniel A.; Khanna, Saurabh; Domingue, Benjamin W.; Pardos, Zachary A. – AERA Open, 2021
This AERA Open special topic concerns the large emerging research area of education data science (EDS). In a narrow sense, EDS applies statistics and computational techniques to educational phenomena and questions. In a broader sense, it is an umbrella for a fleet of new computational techniques being used to identify new forms of data, measures,…
Descriptors: Learning Analytics, Statistics, Computation, Measurement
Peer reviewed Peer reviewed
Direct linkDirect link
Meddeb, Ons; Maraoui, Mohsen; Zrigui, Mounir – International Journal of Web-Based Learning and Teaching Technologies, 2021
The advancement of technologies has modernized learning within smart campuses and has emerged new context through communication between mobile devices. Although there is a revolutionary way to deliver long-term education, a great diversity of learners may have different levels of expertise and cannot be treated in a consistent manner.…
Descriptors: Educational Technology, Semitic Languages, Natural Language Processing, Internet
Peer reviewed Peer reviewed
Direct linkDirect link
Haering, Marlo; Bano, Muneera; Zowghi, Didar; Kearney, Matthew; Maalej, Walid – IEEE Transactions on Learning Technologies, 2021
With the vast number of apps and the complexity of their features, it is becoming challenging for teachers to select a suitable learning app for their courses. Several evaluation frameworks have been proposed in the literature to assist teachers with this selection. The iPAC framework is a well-established mobile learning framework highlighting…
Descriptors: Automation, Courseware, Computer Software Evaluation, Computer Software Selection
Pages: 1  |  ...  |  43  |  44  |  45  |  46  |  47  |  48  |  49  |  50  |  51  |  ...  |  103