NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Ellis, Amanda R.; Slade, Emily – Journal of Statistics and Data Science Education, 2023
ChatGPT is one of many generative artificial intelligence (AI) tools that has emerged recently, creating controversy in the education community with concerns about its potential to be used for plagiarism and to undermine students' ability to think independently. Recent publications have criticized the use of ChatGPT and other generative AI tools…
Descriptors: Teaching Methods, Statistics Education, Artificial Intelligence, Educational Benefits
Peer reviewed Peer reviewed
Direct linkDirect link
Jenny L. Richmond; Kate Nicholls – Teaching of Psychology, 2025
Background: With the arrival of generative artificial intelligence (genAI) tools, psychology educators are rethinking their assessment practices. Objective: This paper describes one approach to integrating genAI into an assessment designed to promote psychological literacy. Method: Students used ChatGPT to generate a media release about a…
Descriptors: Artificial Intelligence, Scoring Rubrics, Computer Software, Learning Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Ha Nguyen; Jake Hayward – Journal of Science Education and Technology, 2025
High-quality science assessments are multi-dimensional. They promote disciplinary practices, core ideas, cross-cutting concepts, and science sense-making. In this paper, we investigate the feasibility of using generative artificial intelligence (GenAI), specifically multimodal large language models (MLLMs), to annotate and provide improvement…
Descriptors: Science Tests, Criticism, Artificial Intelligence, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Baker, Matthew J.; Baker, William H. – Business and Professional Communication Quarterly, 2023
Previous studies compare quantitative feedback ratings of student peers and instructors, but new presentation-feedback technologies enable qualitative-feedback comparison. This study extends previous research by comparing qualitative feedback and business professionals' feedback. Compared to the professionals, the instructors provided similar…
Descriptors: Oral Language, Feedback (Response), Comparative Analysis, Peer Evaluation
Leo C. Ureel II – ProQuest LLC, 2020
Students in introductory computer science courses, are learning to program. Indeed, most students perceive that learning to code is the central topic explored in the courses. Students spend an enormous amount of time struggling to learn the syntax and understand semantics of a particular language. Instructors spend a similar amount of time reading…
Descriptors: Coding, Programming, Computer Science Education, Novices
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Stevenson, Michael; Hedberg, John; Highfield, Kate; Diao, Mingming – Electronic Journal of e-Learning, 2015
In many K-12 and higher education contexts, the use of smart mobile devices increasingly affords learning experiences that are situated, authentic and connected. While earlier reviews of mobile technology may have led to criticism of these devices as being largely for consumption, many current uses emphasize creativity and productivity, with…
Descriptors: Information Technology, Technology Uses in Education, Criticism, Creativity
Peer reviewed Peer reviewed
Direct linkDirect link
Gries, Laurie E.; Brooke, Collin Gifford – Composition Studies, 2010
Every so often, a technology will saturate the market to the extent that the name of the product becomes a stand-in for the technology itself. While it belongs to the broader genre of slideware, Microsoft PowerPoint is perhaps the best example of software that has achieved that level of ubiquity. Despite Apple's Keynote, the Presentation Editor…
Descriptors: Computer Software, Reputation, Writing Instruction, Writing Processes