Publication Date
| In 2025 | 1 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 3 |
| Since 2016 (last 10 years) | 5 |
| Since 2006 (last 20 years) | 6 |
Descriptor
Source
| International Educational… | 2 |
| Education and Information… | 1 |
| Innovation in Language… | 1 |
| Journal of Mathematical… | 1 |
| Physical Review Physics… | 1 |
Author
| Baraniuk, Richard G. | 1 |
| Capraro, Robert M. | 1 |
| Cheng, Gary | 1 |
| Farrar, Scott | 1 |
| Grimaldi, Philip J. | 1 |
| Harun Çelik | 1 |
| Hüseyin Miraç Pektas | 1 |
| Kolb, John | 1 |
| Kortemeyer, Gerd | 1 |
| Lan, Andrew S. | 1 |
| Michalenko, Joshua J. | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 6 |
| Journal Articles | 4 |
| Speeches/Meeting Papers | 2 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| High Schools | 1 |
| Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Force Concept Inventory | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkYunus Kökver; Hüseyin Miraç Pektas; Harun Çelik – Education and Information Technologies, 2025
This study aims to determine the misconceptions of teacher candidates about the greenhouse effect concept by using Artificial Intelligence (AI) algorithm instead of human experts. The Knowledge Discovery from Data (KDD) process model was preferred in the study where the Analyse, Design, Develop, Implement, Evaluate (ADDIE) instructional design…
Descriptors: Artificial Intelligence, Misconceptions, Preservice Teachers, Natural Language Processing
Zhang, Ruofei; Zou, Di; Cheng, Gary – Innovation in Language Learning and Teaching, 2023
EFL learners generally have the problem of logical fallacies in EFL argumentative writings. Logical fallacies are errors in reasoning that can undermine EFL argumentative writing quality. Explicit training on logical fallacies may help learners deal with the problem and enhance their self-efficacy and proficiency in EFL argumentative writing,…
Descriptors: English (Second Language), Second Language Learning, Persuasive Discourse, Writing Instruction
Download full textKolb, 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
Kortemeyer, Gerd – Physical Review Physics Education Research, 2023
Massive pretrained language models have garnered attention and controversy due to their ability to generate humanlike responses: Attention due to their frequent indistinguishability from human-generated phraseology and narratives and controversy due to the fact that their convincingly presented arguments and facts are frequently simply false. Just…
Descriptors: Artificial Intelligence, Physics, Science Instruction, Introductory Courses
Michalenko, Joshua J.; Lan, Andrew S.; Waters, Andrew E.; Grimaldi, Philip J.; Baraniuk, Richard G. – International Educational Data Mining Society, 2017
An important, yet largely unstudied problem in student data analysis is to detect "misconceptions" from students' responses to "open-response" questions. Misconception detection enables instructors to deliver more targeted feedback on the misconceptions exhibited by many students in their class, thus improving the quality of…
Descriptors: Data Analysis, Misconceptions, Student Attitudes, Feedback (Response)
Muzheve, Michael T.; Capraro, Robert M. – Journal of Mathematical Behavior, 2012
Using qualitative data collection and analyses techniques, we examined mathematical representations used by sixteen (N=16) teachers while teaching the concepts of converting among fractions, decimals, and percents. We also studied representational choices by their students (N=581). In addition to using geometric figures and manipulatives, teachers…
Descriptors: Geometric Concepts, Mathematics, Misconceptions, Natural Language Processing
