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Nikkia W. Franklin – ProQuest LLC, 2024
This phenomenological dissertation in practice explored the transformative impression of artificial intelligence (AI) on the academic achievement of historically excluded learners within post-secondary education. This research, reinforced by feedback intervention theory, systems theory, and the theory of academic optimism and student achievement…
Descriptors: Minority Group Students, Artificial Intelligence, Writing (Composition), Student Attitudes
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Juan Luis Prieto-González; Rafael Enrique Gutiérrez-Araujo – Education and Information Technologies, 2024
Providing an overview of the accumulated scientific knowledge regarding the learning of geometry with dynamic software by pre-service mathematics teachers is currently a pertinent issue in Mathematics Education. The interest in this topic within the field is reflected in the significance attributed to the role of the teacher as a pivotal actor in…
Descriptors: Geometry, Mathematics Instruction, Computer Software, Preservice Teachers
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Andrea Horbach; Joey Pehlke; Ronja Laarmann-Quante; Yuning Ding – International Journal of Artificial Intelligence in Education, 2024
This paper investigates crosslingual content scoring, a scenario where scoring models trained on learner data in one language are applied to data in a different language. We analyze data in five different languages (Chinese, English, French, German and Spanish) collected for three prompts of the established English ASAP content scoring dataset. We…
Descriptors: Contrastive Linguistics, Scoring, Learning Analytics, Chinese
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Daniel Seddig – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The latent growth model (LGM) is a popular tool in the social and behavioral sciences to study development processes of continuous and discrete outcome variables. A special case are frequency measurements of behaviors or events, such as doctor visits per month or crimes committed per year. Probability distributions for such outcomes include the…
Descriptors: Growth Models, Statistical Analysis, Structural Equation Models, Crime
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Nuong To Huynh – International Society for Technology, Education, and Science, 2024
The rationale of the current research was to investigate English Language (EL) students' perception on their using Grammarly in Academic Writing Subject at a private university in The Mekong Delta of Vietnam. This study also desires to find out and explore the strong as well as weak aspects of Grammarly application. The mixed-method design was…
Descriptors: English (Second Language), Computer Software, Grammar, College Students
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Xue Wang; Gaoxiang Luo – Society for Research on Educational Effectiveness, 2024
Background: Despite the usefulness of systematic reviews and meta-analyses, they are time-consuming and labor-intensive (Michelson & Reuter, 2019). The technological advancements in recent years have led to the development of tools aimed at streamlining the processes of systematic reviews and meta-analyses. Innovations such as Paperfetcher…
Descriptors: Meta Analysis, Artificial Intelligence, Computational Linguistics, Computer Software
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Ma Yin; Xiangang Hu – International Journal of Web-Based Learning and Teaching Technologies, 2024
As the cradle of cultivating talents, universities are facing great opportunities and challenges in their education. Among them, IPE (ideological and political education), as an important foundation for the future growth of university students, is of great significance. This paper discusses the relationship between IPE and psychological fitness…
Descriptors: Mental Health, Political Science, Ideology, Political Attitudes
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Mark Sena; Thilini Ariyachandra – Information Systems Education Journal, 2024
The Titanic disaster is a topic that continues to fascinate. As the importance of analytics continues to grow in industry, data literacy skills have become increasingly important in business education. This project allows students to use the passenger data from the Titanic to build their data literacy skills using an engaging, experiential topic.…
Descriptors: Literacy, Teaching Methods, Experiential Learning, Business Education
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Venus Ho; Emily Stonehouse; Ori Friedman – Developmental Psychology, 2024
Although stories for children often feature supernatural and fantastical events, children themselves often prefer realistic events when choosing what should happen in a story. In two experiments, we investigated whether 3- to 5-year-olds (total N = 240 from diverse backgrounds) might be more likely to include fantastical events in stories about…
Descriptors: Fiction, Fantasy, Child Development, Preferences
Karen J. Beckett – ProQuest LLC, 2024
This study attempts to understand the perception of a specific group of stakeholders, front-line staff, by their response to the communication received during an enterprise resource system (ERP) implementation process. This study also aims to identify how communications contributed to resistance or acceptance of the enterprise system once the ERP…
Descriptors: Communication (Thought Transfer), College Administration, Stakeholders, Student Personnel Workers
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Rifqi Muhammad – Journal of Teaching and Learning, 2024
There is a scarcity of research that documents the use of technology-based educational counseling services specifically targeting students. This study's aim is to compile and conduct a comprehensive review of the literature on the efficacy of technology in enhancing educational counseling services. Searches were conducted using the Publish or…
Descriptors: Foreign Countries, Literature Reviews, Counseling, Counseling Effectiveness
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Stefania Badiglio; Giuseppe Chiazzese; Vito Pipitone; Luciano Seta – International Journal on E-Learning, 2024
This study explores the interaction between artificial intelligence (AI) and human behavior in economic contexts, focusing on using generative AI, such as ChatGPT, to examine trust and reciprocity. Through an experiment conducted at LUMSA in Palermo, 61 economics students participated in three economic games: the Ultimatum Game, the Trust Game,…
Descriptors: Artificial Intelligence, Computer Software, Asynchronous Communication, Man Machine Systems
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Eyüp Yurt – International Society for Technology, Education, and Science, 2024
This study examines teachers' motivations for using artificial intelligence (AI) applications in education from the perspective of Expectancy-Value Theory. The Expectancy-Value Theory is a framework used to explain the key factors that influence individuals' motivation to perform a specific task. In this study, the two main components of the…
Descriptors: Teacher Attitudes, Teacher Motivation, Artificial Intelligence, Computer Software
Abdallah, Mahmoud M. S. – Online Submission, 2021
Computer-Assisted Language Learning (CALL) for 4th Year EFL Student Teachers is a complementary language teaching methodology course, with a specific focus on computer-assisted language learning approaches, methods, techniques and procedures as well as the computer-based tools, devices, applications and facilities that can be used to facilitate…
Descriptors: Computer Assisted Instruction, Handheld Devices, Telecommunications, Second Language Learning
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Zoghlami, Naouel, Ed.; Brudermann, Cédric, Ed.; Sarré, Cedric, Ed.; Grosbois, Muriel, Ed.; Bradley, Linda, Ed.; Thouësny, Sylvie, Ed. – Research-publishing.net, 2021
The 2021 EUROCALL conference engaged just under 250 speakers from 40 different countries. Cnam Paris and Sorbonne Université joined forces to host and organise the event despite the challenging context due to the COVID-19 pandemic. Originally programmed to be held on site in the heart of Paris, France, the EUROCALL organising team and executive…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Conferences (Gatherings)
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