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Tsubasa Minematsu; Atsushi Shimada – International Association for Development of the Information Society, 2024
In using large language models (LLMs) for education, such as distractors in multiple-choice questions and learning by teaching, error-containing content is used. Prompt tuning and retraining LLMs are possible ways of having LLMs generate error-containing sentences in the learning content. However, there needs to be more discussion on how to tune…
Descriptors: Educational Technology, Technology Uses in Education, Error Patterns, Sentences
Gregorcic, Bor; Pendrill, Ann-Marie – Physics Education, 2023
We present a case study of a conversation between ourselves and an artificial intelligence-based chatbot ChatGPT. We asked the chatbot to respond to a basic physics question that will be familiar to most physics teachers: 'A teddy bear is thrown into the air. What is its acceleration in the highest point?' The chatbot's responses, while…
Descriptors: Artificial Intelligence, Physics, Science Instruction, Scientific Concepts
Fatma Bayrambas; Emine Sendurur – Education and Information Technologies, 2024
Incidental learning is a type of informal learning occurring consciously with unintentional acts. Within the scope of this study, informal learning on a digital learning platform was examined in the context of cognitive load. The current study investigated the changes in incidental learning within two different scenarios: extraneous irrelevant…
Descriptors: Incidental Learning, Cognitive Processes, Difficulty Level, Biofeedback
Paredes, Yancy Vance – ProQuest LLC, 2023
Experience, whether personal or vicarious, plays an influential role in shaping human knowledge. Through these experiences, one develops an understanding of the world, which leads to learning. The process of gaining knowledge in higher education transcends beyond the passive transmission of knowledge from an expert to a novice. Instead, students…
Descriptors: Artificial Intelligence, Learning Analytics, Man Machine Systems, Educational Technology
Silvia Di Battista – British Journal of Educational Psychology, 2025
Background: According to gender-differentiated attributions of failure in the STEM field, errors tend to be attributed to internal factors more to girls than to boys. Aims: This experimental study explored factors influencing gender-differentiated teachers' internal attributions of girls' and boys' errors and the consequent likelihood of teachers'…
Descriptors: Gender Differences, Failure, Attribution Theory, STEM Education
Yu-Ju Lan; Scott Grant; Hui-Chin Yeh – Educational Technology & Society, 2025
This study investigated the use of virtual chatbots in a 3D multi-user virtual environment (3D MUVE) to enhance the communication skills of Chinese as a foreign language (CFL) learners. Several virtual chat agents, developed using pattern matching techniques and embedded in Second Life, created a blended learning environment in which CFL learners…
Descriptors: Artificial Intelligence, Communication Skills, Educational Technology, Technology Uses in Education
Bhavya, Bhavya; Chen, Si; Zhang, Zhilin; Li, Wenting; Zhai, Chengxiang; Angrave, Lawrence; Huang, Yun – Educational Technology Research and Development, 2022
Captions play a major role in making educational videos accessible to all and are known to benefit a wide range of learners. However, many educational videos either do not have captions or have inaccurate captions. Prior work has shown the benefits of using crowdsourcing to obtain accurate captions in a cost-efficient way, though there is a lack…
Descriptors: Layout (Publications), Video Technology, Accessibility (for Disabled), Cooperation
Costello, Eamon; Johnston, Keith; Wade, Vincent – Interactive Learning Environments, 2023
This research investigated how the bug tracker database of the Virtual Learning Environment (VLE) Moodle is developed as an application of crowd work. The bug tracker is used by software developers, who write and maintain Moodle's code, but also by a wider public world of ordinary Moodle users who can report bugs. Despite many studies of the…
Descriptors: Electronic Learning, Educational Technology, Computer Software, Cooperation
Mai Abdullah Alqaed – Advanced Education, 2024
Artificial intelligence (AI) is gaining wide attention in second language learning as a beneficial tool. The current research investigates EFL learners' perceptions and usage of AI applications among 68 undergraduate English language major students. The aim is to enhance students' awareness of valuable AI applications and involve them with AI…
Descriptors: Artificial Intelligence, Student Attitudes, English (Second Language), Second Language Instruction
Arefaine, Nigusse; Michael, Kassa; Assefa, Shimelis – Asian Journal of Education and Training, 2022
Multiple representations cultivate students' mathematical mindset. However, research results have reported that students do not benefit from these tools due to lack of representational fluency. This study was designed to determine the impact of GeoGebra assisted multiple representations approach on students' representation translation performance…
Descriptors: Calculus, Mathematics Achievement, Mathematics Instruction, Error Patterns
de Mooij, Susanne M. M.; Dumontheil, Iroise; Kirkham, Natasha Z.; Raijmakers, Maartje E. J.; van der Maas, Han L. J. – Developmental Science, 2022
The ability to monitor and adjust our performance is crucial for adaptive behaviour, a key component of human cognitive control. One widely studied metric of this behaviour is post-error slowing (PES), the finding that humans tend to slow down their performance after making an error. This study is a first attempt at generalizing the effect of PES…
Descriptors: Electronic Learning, Educational Technology, Educational Games, Error Patterns
Alexander, Katarzyna; Savvidou, Christine; Alexander, Chris – Teaching English with Technology, 2023
Recent developments in AI technologies and the increasing accessibility of AI tools, such as ChatGPT, have raised concerns about academic integrity in higher education. Thus, this research aims to shed light on the challenges faced by English as a Second Language (ESL) lecturers in identifying AI-generated texts, and highlighting the skills and…
Descriptors: Identification, Artificial Intelligence, Writing Assignments, Second Language Learning
Bohne, Thomas; Heine, Ina; Mueller, Felix; Zuercher, Paul-David Joshua; Eger, Vera Maria – IEEE Transactions on Learning Technologies, 2023
Gamification approaches to learning use game-inspired design elements to improve learning. Given manifold design options to implement gamification in virtual environments, an important but underexplored research area is how the composition of gamification elements affects learning. To advance research in this area, we systematically identified key…
Descriptors: Gamification, Game Based Learning, Educational Technology, Program Effectiveness
Cetin, Ibrahim; Dev, Serife – International Journal of Mathematical Education in Science and Technology, 2023
This study investigated the methods that pre-service teachers employed while finding volume using integration and the reasons why they utilized these methods (problems); the accuracy of their solutions was also analyzed in this study. Case study design, a qualitative research method, was used for this study. 45 sophomore pre-service teachers…
Descriptors: Preservice Teachers, Elementary School Teachers, Mathematics Teachers, Teaching Methods
Ochieng, Dunlop – Journal of Learning and Teaching in Digital Age, 2019
Education sector has embraced and increasingly use digital technologies to address its longstanding challenges. However, considering that every technology has its limitations, I evaluated the progress of citation and reference technologies in solving the chronic problem of plagiarism in academic writing. In this pursuit, I confirmed with several…
Descriptors: Educational Technology, Citations (References), Plagiarism, Error Patterns