NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 16 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Yanyan Zhang; Xiaomin Lai; Suping Yi; Yefeng Lu – Education and Information Technologies, 2025
A new kind of reading platform supported by ChatGPT has quickly become a popular research assistant among students due to its instant natural language interaction and question-answering capabilities. This study explored the effects of ChatGPT-based reading platform on student's foreign language paper reading. A total of 64 undergraduate students…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Undergraduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
Phillips, Tanner M.; Saleh, Asmalina; Ozogul, Gamze – International Journal of Artificial Intelligence in Education, 2023
Encouraging teachers to reflect on their instructional practices and course design has been shown to be an effective means of improving instruction and student learning. However, the process of encouraging reflection is difficult; reflection requires quality data, thoughtful analysis, and contextualized interpretation. Because of this, research on…
Descriptors: Reflection, Artificial Intelligence, Natural Language Processing, Data Collection
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Bima Sapkota; Liza Bondurant – International Journal of Technology in Education, 2024
In November 2022, ChatGPT, an Artificial Intelligence (AI) large language model (LLM) capable of generating human-like responses, was launched. ChatGPT has a variety of promising applications in education, such as using it as thought-partner in generating curricular resources. However, scholars also recognize that the use of ChatGPT raises…
Descriptors: Cognitive Processes, Difficulty Level, Artificial Intelligence, Natural Language Processing
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Xu, Jia; Wei, Tingting; Lv, Pin – International Educational Data Mining Society, 2022
In an Intelligent Tutoring System (ITS), problem (or question) difficulty is one of the most critical parameters, directly impacting problem design, test paper organization, result analysis, and even the fairness guarantee. However, it is very difficult to evaluate the problem difficulty by organized pre-tests or by expertise, because these…
Descriptors: Prediction, Programming, Natural Language Processing, Databases
Peer reviewed Peer reviewed
Direct linkDirect link
Rybinski, Krzysztof – Quality Assurance in Education: An International Perspective, 2023
Purpose: This paper aims to investigate the relationship between student emotions, professors' performance and course ratings and difficulty. Design/methodology/approach: Natural language processing models are used to extract six basic emotions and several categories of professors' harmful performance from nearly one million student reviews…
Descriptors: College Students, College Faculty, Psychological Patterns, Teacher Effectiveness
Peer reviewed Peer reviewed
Direct linkDirect link
Menekse, Muhsin – Journal of Experimental Education, 2020
This study addressed the role of the reflection-informed learning and instruction (RILI) model on students' academic success by using CourseMIRROR mobile system. We hypothesized that prompting students to reflect on confusing concepts stimulates their self-monitoring activities according to which students are expected to review their…
Descriptors: Reflection, Academic Achievement, Undergraduate Students, Instructional Effectiveness
Menekse, Muhsin – Grantee Submission, 2020
This study addressed the role of the reflection-informed learning and instruction (RILI) model on students' academic success by using CourseMIRROR mobile system. We hypothesized that prompting students to reflect on confusing concepts stimulates their self-monitoring activities according to which students are expected to review their…
Descriptors: Reflection, Academic Achievement, Undergraduate Students, Instructional Effectiveness
Peer reviewed Peer reviewed
Direct linkDirect link
Rybinski, Krzysztof; Kopciuszewska, Elzbieta – Assessment & Evaluation in Higher Education, 2021
This article presents the first-ever big data study of the student evaluation of teaching (SET) using artificial intelligence (AI). We train natural language processing (NLP) models on 1.6 million student evaluations from the US and the UK. We address two research questions: (1) are these models able to predict student ratings from the student…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Evaluation of Teacher Performance, Natural Language Processing
MacArthur, Charles A.; Jennings, Amanda; Philippakos, Zoi A. – Grantee Submission, 2018
The study developed a model of linguistic constructs to predict writing quality for college basic writers and analyzed how those constructs changed following instruction. Analysis used a corpus of argumentative essays from a quasi-experimental, instructional study with 252 students (MacArthur, Philippakos, & Ianetta, 2015) that found large…
Descriptors: College Students, Writing Skills, Writing Evaluation, Writing Achievement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yu, Xiaoli – International Journal of Language Testing, 2021
This study examined the development of text complexity for the past 25 years of reading comprehension passages in the National Matriculation English Test (NMET) in China. Text complexity of 206 reading passages at lexical, syntactic, and discourse levels has been measured longitudinally and compared across the years. The natural language…
Descriptors: Reading Comprehension, Reading Tests, Difficulty Level, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Cronin, Anthony; Intepe, Gizem; Shearman, Donald; Sneyd, Alison – International Journal of Mathematical Education in Science and Technology, 2019
This paper explores analysis of feedback data collected from student consultations at two mathematics support centres at universities in Australia and Ireland. Unstructured text data was collected over six years and includes qualitative data on student queries collected during the consultations from mathematics and statistics related subjects.…
Descriptors: Natural Language Processing, Feedback (Response), Mathematics Instruction, Academic Support Services
Velez, Martin – ProQuest LLC, 2019
Software is an integral part of our lives. It controls the cars we drive every day, the ships we send into space, and even our toasters. It is everywhere and we can easily download more. Software solves many real-world problems and satisfies many needs. Thus, unsurprisingly, there is a rising demand for software engineers to maintain existing…
Descriptors: Computer Science Education, Programming, Introductory Courses, Computer Software
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mirzaei, Maryam Sadat; Meshgi, Kourosh; Nishida, Toyoaki – Research-publishing.net, 2018
This paper introduces a new captioning tool, Partial and Synchronized Caption with Hints (PSCH), as a means to facilitate second language (L2) listening by providing cues for ambiguous and difficult words/phrases in the caption while filtering out the easy words. Each word in the caption is synchronized to the corresponding audio to enable…
Descriptors: Second Language Learning, Second Language Instruction, Scaffolding (Teaching Technique), Listening Comprehension
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Previous Page | Next Page ยป
Pages: 1  |  2