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Karakose, Turgut; Demirkol, Murat; Aslan, Nurcihan; Köse, Hüseyin; Yirci, Ramazan – Educational Process: International Journal, 2023
Background/purpose: ChatGPT, an AI-powered chatbot designed with generative pre-trained transformer architecture, have intrigued millions of people from diverse backgrounds since its first release, and generated excitement with its groundbreaking performance in numerous use cases they have been tested. Its ability to generate coherent and…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, Scientific Research
Seyedahmad Rahimi; Justice T. Walker; Lin Lin-Lipsmeyer; Jinnie Shin – Creativity Research Journal, 2024
Digital sandbox games such as "Minecraft" can be used to assess and support creativity. Doing so, however, requires an understanding of what is deemed creative in this game context. One approach is to understand how Minecrafters describe creativity in their communities, and how much those descriptions overlap with the established…
Descriptors: Creativity, Video Games, Computer Games, Evaluation Methods
Olney, Andrew M. – Grantee Submission, 2021
In contrast to simple feedback, which provides students with the correct answer, elaborated feedback provides an explanation of the correct answer with respect to the student's error. Elaborated feedback is thus a challenge for AI in education systems because it requires dynamic explanations, which traditionally require logical reasoning and…
Descriptors: Feedback (Response), Error Patterns, Artificial Intelligence, Test Format
Spezio, Michael; Peterson, Gregory; Roberts, Robert C. – Journal of Moral Education, 2019
Exploring the concept of virtuous humility helps to highlight paths of human flourishing. Yet humility is difficult to study because it is often stereotyped as shame or self-abasement, it tends to defy uniform conceptualization across contexts and cultures, definitions are difficult to justify, and operationalizing humility challenges standard…
Descriptors: Stereotypes, Cultural Differences, Personality Traits, Self Concept
Bermudez-Gonzalez, Daniel; Miranda-Jiménez, Sabino; García-Moreno, Raúl-Ulises; Calderón-Nepamuceno, Dora – Research-publishing.net, 2016
Nowadays, machine learning techniques are being used in several Natural Language Processing (NLP) tasks such as Opinion Mining (OM). OM is used to analyse and determine the affective orientation of texts. Usually, OM approaches use affective dictionaries in order to conduct sentiment analysis. These lexicons are labeled manually with affective…
Descriptors: Dictionaries, Spanish, Natural Language Processing, Psychological Patterns
Sano, Makoto; Baker, Doris Luft; Collazo, Marlen; Le, Nancy; Kamata, Akihito – Grantee Submission, 2020
Purpose: Explore how different automated scoring (AS) models score reliably the expressive language and vocabulary knowledge in depth of young second grade Latino English learners. Design/methodology/approach: Analyze a total of 13,471 English utterances from 217 Latino English learners with random forest, end-to-end memory networks, long…
Descriptors: English Language Learners, Hispanic American Students, Elementary School Students, Grade 2
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
Biemiller, Andrew; Rosenstein, Mark; Sparks, Randall; Landauer, Thomas K.; Foltz, Peter W. – Scientific Studies of Reading, 2014
Determining word meanings that ought to be taught or introduced is important for educators. A sequence for vocabulary growth can be inferred from many sources, including testing children's knowledge of word meanings at various ages, predicting from print frequency, or adult-recalled Age of Acquisition. A new approach, Word Maturity, is based on…
Descriptors: Foreign Countries, Vocabulary Development, Natural Language Processing, Word Frequency

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