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Showing 1 to 15 of 114 results Save | Export
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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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Elizeth Mayrene Flores Hinostroza; Derling Jose Mendoza; Mercedes Navarro Cejas; Edinson Patricio Palacios Trujillo – International Electronic Journal of Mathematics Education, 2025
This study builds on the increasing relevance of technology integration in higher education, specifically in artificial intelligence (AI) usage in educational contexts. Background research highlights the limited exploration of AI training in educational programs, particularly within Latin America. AI has become increasingly pivotal in educational…
Descriptors: Science Instruction, Artificial Intelligence, Technology Integration, Technology Uses in Education
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Tafesse, Wondwesen – International Journal of Educational Technology in Higher Education, 2022
With the widespread adoption of social networking sites among college students, discerning the relationship between social networking sites use and college students' academic performance has become a major research endeavor. However, much of the available research in this area rely on student self-reports and findings are notably inconsistent.…
Descriptors: Social Networks, College Students, Computer Software, Academic Achievement
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Jenel T. Cavazos; Keane A. Hauck; Hannah M. Baskin; Catherine M. Bain – Teaching of Psychology, 2025
Background: The emergence of artificial intelligence (AI) in higher education has sparked numerous discussions about its implications. ChatGPT, a prominent AI conversational model, has attracted significant attention for its ability to generate essays and formulate responses. Objective: The current study sought to explore how and why students are…
Descriptors: Student Attitudes, Artificial Intelligence, Computer Software, Cheating
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Duong Thi Thuy Mai; Nguyen Van Hanh – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study investigated whether English proficiency (EP) and English self-efficacy (ESE) influence the credibility of ChatGPT-generated English content (CCGEC) of college students in the English-medium instruction (EMI) courses. We observed a college-level EMI course called "Technical Writing and Presentation", where instructors…
Descriptors: Language Proficiency, Self Efficacy, Credibility, Artificial Intelligence
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Genimon Vadakkemulanjanal Joseph; P. Athira; M. Anit Thomas; Dawn Jose; Therese V. Roy; Malavika Prasad – Digital Education Review, 2024
The technology-supported education systems seamlessly integrated throughout the globe in response to the demands of post COVID-19 pandemic. The swift developments of the digital tools with Artificial Intelligence (AI) support are also readily diffused among the educational communities. This research paper investigates the synergistic impact of…
Descriptors: Digital Literacy, Artificial Intelligence, Computer Software, Learning Processes
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Yanxia Yang – Education and Information Technologies, 2024
The use of machine translation has become a topic of debate in language learning, which highlights the need to thoroughly examine the appropriateness and role of machine translation in educational settings. Under the theoretical framework of task-technology fit, this explanatory case study set out to investigate the predictive role of machine…
Descriptors: Translation, Computational Linguistics, Learning Processes, English (Second Language)
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David Imamyartha; Utami Widiati; M. Zaini Miftah – MEXTESOL Journal, 2024
Despite the recent growth of mobile instant messenger (MIM), research into the correlation between English learners' learning gains, learning engagement, and how this engagement helps develop authentic relationships remains underexplored. This mixed-method study involved 222 college English learners to investigate their engagement in team-based…
Descriptors: Discourse Analysis, Computer Software, Computer Mediated Communication, Synchronous Communication
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Brahim Ait Hammou; Abderrazak Zaafour; Bendaoud Nadif; Mohammed Zemrani – Language Teaching Research Quarterly, 2025
Research on the relationship between vocabulary knowledge and reading has largely focused on literal comprehension of informational texts. The present study, however, investigates the vocabulary-reading relationship by specifically examining critical reading skills in an argumentative text.76 EFL university students majoring in Education and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Vocabulary Development
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José Gómez-Galán; Eloy López-Meneses; David Cobos-Sanchiz – Discover Education, 2024
The COVID-19 pandemic forced the digitalization of education to be accelerated to continue the teaching-learning processes in confined populations. The irruption of this fact caused the evolution that had previously been occurring in the integration of digital technologies, and in general information and communication technologies (ICT), in…
Descriptors: Internet, COVID-19, Pandemics, Educational Change
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John Mark R. Asio – Malaysian Online Journal of Educational Sciences, 2024
Understanding and securely using AI systems and tools requires AI literacy. In contrast, AI self-efficacy is a person's confidence in completing an AI task. Also, AI self-competence is the ability to explain how AI technologies are used at work and how they affect society. This study examines college students' AI literacy, self-efficacy, and…
Descriptors: Artificial Intelligence, Computer Software, Technological Literacy, Self Esteem
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Mahmoud Abdi Tabari; Minyoung Cho – Language Teaching Research, 2025
To test the predictive power of the SSARC (stabilize, simplify, automatize, reconstruct, and complexify) model of pedagogic task sequencing in second language (L2) writing development, the present study explores the performance of written decision-making tasks with varied levels of cognitive complexity in a simple-to-complex sequence in comparison…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Advanced Students
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Pàmies, Maria del Mar; Valverde, Mireia; Cross, Christine – Assessment & Evaluation in Higher Education, 2020
This article examines the management of the seemingly ubiquitous problem of plagiarism by students in higher education. An integrated review of the conceptual and empirical literature to date is undertaken in the pursuit of two objectives. First, to provide structure to the scattered knowledge about the topic, which is achieved by developing a…
Descriptors: Plagiarism, Educational Research, College Students, Cheating
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Palesh, Oxana; Oakley-Girvan, Ingrid; Richardson, Amanda; Nelson, Lorene M.; Clark, Rich; Hancock, Jeffrey; Acle, Carlos; Lavista, Juan M.; Miller, Yasamin; Gore-Felton, Cheryl – Journal of College Student Psychotherapy, 2022
From October to December 2016, a college sample (n = 536) of men (41%) and women (59%) 18 to 41 years old (M = 20.2 SD = 3.02) completed self-report surveys that assessed mental and behavioral health using a novel, mobile app called SHAPE. Multiple methods (e.g., flyers, face-to-face, e-mail, listservs) were used to recruit students. Almost half…
Descriptors: Mental Health, Computer Software, Prevention, Intervention
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Katarzyna Gajda – International Association for Development of the Information Society, 2024
The integration of mobile technology in language education represents notable progress, providing a versatile tool for learners of different ages to acquire a language. The poster will focus on research evaluating the efficacy of the Duolingo mobile app in augmenting Russian language proficiency for A1 and B1 level students at the University of…
Descriptors: Second Language Instruction, Second Language Learning, Computer Software, Computer Assisted Instruction
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