NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Zhang, Mengxue; Baral, Sami; Heffernan, Neil; Lan, Andrew – International Educational Data Mining Society, 2022
Automatic short answer grading is an important research direction in the exploration of how to use artificial intelligence (AI)-based tools to improve education. Current state-of-the-art approaches use neural language models to create vectorized representations of students responses, followed by classifiers to predict the score. However, these…
Descriptors: Grading, Mathematics Instruction, Artificial Intelligence, Form Classes (Languages)
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Zhang, Mengxue; Heffernan, Neil; Lan, Andrew – International Educational Data Mining Society, 2023
Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for automated scoring rely on supervised learning, i.e., training classifiers or fine-tuning language models on a small number of responses with human-provided score…
Descriptors: Scoring, Computer Assisted Testing, Mathematics Instruction, Mathematics Tests
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Baral, Sami; Botelho, Anthony; Santhanam, Abhishek; Gurung, Ashish; Cheng, Li; Heffernan, Neil – International Educational Data Mining Society, 2023
Teachers often rely on the use of a range of open-ended problems to assess students' understanding of mathematical concepts. Beyond traditional conceptions of student open-ended work, commonly in the form of textual short-answer or essay responses, the use of figures, tables, number lines, graphs, and pictographs are other examples of open-ended…
Descriptors: Mathematics Instruction, Mathematical Concepts, Problem Solving, Test Format
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Prihar, Ethan; Heffernan, Neil – International Educational Data Mining Society, 2021
Similar content has tremendous utility in classroom and online learning environments. For example, similar content can be used to combat cheating, track students' learning over time, and model students' latent knowledge. These different use cases for similar content all rely on different notions of similarity, which make it difficult to determine…
Descriptors: Computer Software, Middle School Teachers, Mathematics Teachers, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Ocumpaugh, Jaclyn; Baker, Ryan; Gowda, Sujith; Heffernan, Neil; Heffernan, Cristina – British Journal of Educational Technology, 2014
Information and communication technology (ICT)-enhanced research methods such as educational data mining (EDM) have allowed researchers to effectively model a broad range of constructs pertaining to the student, moving from traditional assessments of knowledge to assessment of engagement, meta-cognition, strategy and affect. The automated…
Descriptors: Research Methodology, Educational Research, Information Technology, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Baker, Ryan; Walonoski, Jason; Heffernan, Neil; Roll, Ido; Corbett, Albert; Koedinger, Kenneth – Journal of Interactive Learning Research, 2008
In recent years there has been increasing interest in the phenomena of "gaming the system," where a learner attempts to succeed in an educational environment by exploiting properties of the system's help and feedback rather than by attempting to learn the material. Developing environments that respond constructively and effectively to…
Descriptors: Educational Environment, Student Attitudes, Student Motivation, Computer Assisted Instruction