NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 15 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Debbie Rohwer – Update: Applications of Research in Music Education, 2024
In this research-to-resource article, I introduce possible uses of ChatGPT, an artificial intelligence chatbot developed by OpenAI, for music education research settings. I discuss the impacts of artificial intelligence on education environments and highlight uses of ChatGPT as a tool, including the role of ChatGPT in information gathering,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Music Education
Peer reviewed Peer reviewed
Direct linkDirect link
Bauer, Elisabeth; Greisel, Martin; Kuznetsov, Ilia; Berndt, Markus; Kollar, Ingo; Dresel, Markus; Fischer, Martin R.; Fischer, Frank – British Journal of Educational Technology, 2023
Advancements in artificial intelligence are rapidly increasing. The new-generation large language models, such as ChatGPT and GPT-4, bear the potential to transform educational approaches, such as peer-feedback. To investigate peer-feedback at the intersection of natural language processing (NLP) and educational research, this paper suggests a…
Descriptors: Peer Relationship, Feedback (Response), Artificial Intelligence, Natural Language Processing
Danielle S. McNamara; Tracy Arner; Reese Butterfuss; Debshila Basu Mallick; Andrew S. Lan; Rod D. Roscoe; Henry L. Roediger; Richard G. Baraniuk – Grantee Submission, 2022
The learning sciences inherently involve interdisciplinary research with an overarching objective of advancing theories of learning and to inform the design and implementation of effective instructional methods and learning technologies. In these endeavors, learning sciences encompass diverse constructs, measures, processes, and outcomes…
Descriptors: Artificial Intelligence, Learning Processes, Learning Motivation, Educational Research
Peer reviewed Peer reviewed
Direct linkDirect link
East, Martin – Language Teaching, 2017
This article discusses the phenomenon of task-based language teaching (TBLT) in instructed additional language settings. It begins from the premise that, despite considerable theoretical and empirical support, TBLT remains a contested endeavour. Critics of TBLT argue that, particularly with regard to time-limited foreign language instructional…
Descriptors: Second Language Learning, Second Language Instruction, Task Analysis, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Hatami, Sarvenaz – TESOL Journal, 2015
In both second language (L2) research and pedagogy, individual words have been considered the basic lexical unit; this is not surprising, because individual words are convenient to identify, teach, and work with (Schmitt, 2010). However, there is a growing awareness that language users do not always process language word by word, but also make use…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Teaching Methods
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Merceron, Agathe; Blikstein, Paulo; Siemens, George – Journal of Learning Analytics, 2015
This article introduces the special issue from the 2015 Learning Analytics and Knowledge conference. We describe the current state of the field and identify some of the trends in recent research. As the field continues to expand, there seem to be at least three directions of vigorous growth: (1) the inclusion of multimodal data (gesture,…
Descriptors: Educational Research, Data, Data Collection, Data Analysis
Durlach, Paula J., Ed; Lesgold, Alan M., Ed. – Cambridge University Press, 2012
This edited volume provides an overview of the latest advancements in adaptive training technology. Intelligent tutoring has been deployed for well-defined and relatively static educational domains such as algebra and geometry. However, this adaptive approach to computer-based training has yet to come into wider usage for domains that are less…
Descriptors: Expertise, Educational Strategies, Semantics, Intelligent Tutoring Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Schatschneider, Christopher; Lonigan, Christopher J. – Educational Researcher, 2010
Many of the methodological criticisms of the National Early Literacy Panel (NELP) report presented in this special issue of "Educational Researcher" are not specific to the NELP report but are in fact broad criticisms of much of the quantitative research on early literacy. This rejoinder demonstrates that these criticisms are off target and are…
Descriptors: Research Methodology, Statistical Analysis, Emergent Literacy, Research Reports
Peer reviewed Peer reviewed
Direct linkDirect link
Dickinson, David K.; Golinkoff, Roberta M.; Hirsh-Pasek, Kathy – Educational Researcher, 2010
Although the National Early Literacy Panel report provides an important distillation of research, the manner in which the data are reported underrepresents the importance of language. Unlike other predictors with moderate associations with later reading, language exerts pervasive and indirect influences that are not described by the effect sizes…
Descriptors: Emergent Literacy, Predictor Variables, Language Processing, Language Skills
Peer reviewed Peer reviewed
Underwood, John – Computers and the Humanities, 1989
Examines the possibilities of developing computer-assisted language learning (CALL) based on the best of modern technology, arguing that artificial intelligence (AI) strategies will radically improve the kinds of exercises that can be performed. Recommends combining AI technology with other tools for delivering instruction, such as simulation and…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computers, Educational Research
Bulcock, Jeffrey W. – 1984
A series of six models were devised and tested to address the structure of elementary school achievement in language, work study, reading, and mathematics skills. The models were based on two assumptions: first, that information processing strategies of children would govern their basic skills performances; and, second, that the basic skills would…
Descriptors: Achievement Gains, Achievement Rating, Basic Skills, Cognitive Processes
Peer reviewed Peer reviewed
Mulford, George W. – Computers and the Humanities, 1989
Outlines the history of semantically based programs that have influenced the design of computer assisted language instruction (CALI) programs. Describes early attempts to make intelligent CALI as well as current projects, including the Foreign Language Adventure Game, developed at the University of Delaware. Describes some important…
Descriptors: Artificial Intelligence, Computational Linguistics, Computer Assisted Instruction, Computer Software
Peer reviewed Peer reviewed
Neuwirth, Christine M. – Computers and the Humanities, 1989
Discusses the potential and the limitations of intelligent tutoring systems (ITS) in the teaching of writing. Outlines the goals and significance of research, and analyzes the pedagogical assumptions underlying such research. Describes the architecture of these systems and illustrates instructional design issues by describing the ITS program,…
Descriptors: Computer Assisted Instruction, Computers, Courseware, Discovery Learning
Vail, Edward O. – 1980
In 1979, the typical entering seventh grade student at Perris Valley Junior High School (California) scored 21 months below grade norm in reading and 25 months below grade norm in language. To provide the students with language processing skills necessary for participation in the regular school curriculum, students in both junior and senior high…
Descriptors: Educational Research, English Curriculum, Grade 7, Junior High Schools
Peer reviewed Peer reviewed
Chapelle, Carol – Computers and the Humanities, 1989
Explores uses for intelligent courseware in language classrooms. Defines three types of intelligent systems: microworlds, intelligent grammar checkers, and intelligent tutoring systems. Explains uses of these systems for all phases of writing instruction and for second language instruction. Questions for future research are raised. (Author/LS)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computers, Courseware