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Reima Al-Jarf – Online Submission, 2024
This study explores Arab university faculty's views on fully AI-generated assignments and research papers submitted by students, what reasons they give for their stance and how they react in this case. Surveys with a sample of 45 Arab instructors revealed that 98% do not accept AI-generated assignments and research papers from students at all.…
Descriptors: Assignments, Research Papers (Students), Foreign Countries, College Faculty
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David A. Joyner; Zoey Anne Beda; Michael Cohen; Melanie Duffin; Amy Garcia Fernandez; Liz Hayes-Golding; Jonathan Hildreth; Alex Houk; Rebecca Johnson; Kayla Matcheck; Ana Santos – International Educational Data Mining Society, 2024
This study examines log data from proctored examinations from two classes offered as part of a large online graduate program in computer science. In these two classes, students are permitted to access any internet content during their exams, which themselves have remained largely unchanged over the last several semesters. As a result, when ChatGPT…
Descriptors: Computer Assisted Testing, Tests, Internet, Graduate Students
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Nhat Tran; Benjamin Pierce; Diane Litman; Richard Correnti; Lindsay Clare Matsumura – International Educational Data Mining Society, 2024
Automatically assessing classroom discussion quality is becoming increasingly feasible with the help of new NLP advancements such as large language models (LLMs). In this work, we examine how the assessment performance of 2 LLMs interacts with 3 factors that may affect performance: task formulation, context length, and few-shot examples. We also…
Descriptors: Artificial Intelligence, Technology Uses in Education, Discussion (Teaching Technique), Language Arts
Chad P. Salyer – Online Submission, 2024
Artificial intelligence was an emergent and powerful new force in education. The public release of ChatGPT 3.0 in 2022 transformed learning for many students. This phenomenological qualitative study sought to record and analyze student's perspectives on the influence of artificial intelligence on their learning routines. This study collected data…
Descriptors: Artificial Intelligence, Student Attitudes, Technology Uses in Education, Undergraduate Students
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Galiya Sarzhanova; Assylbek Nurgabdeshov – Journal of Pedagogical Research, 2025
Psychological well-being plays a crucial role in shaping students' academic success, emotional resilience, and overall educational experiences, while also significantly influencing teachers' job satisfaction and effectiveness. However, increasing academic pressures, institutional challenges, and digital advancements have posed new threats to…
Descriptors: Mental Health, Well Being, Psychological Patterns, Academic Achievement
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Ben Oliver D. Tutor; Emerson R. Rico – Journal of Academic Ethics, 2026
The integration of technology into education, though beneficial, has also raised concerns about academic dishonesty. Digital tools and platforms provide new opportunities for students to engage in behaviors that could undermine academic integrity. Understanding why students commit these acts is crucial for designing effective policies to mitigate…
Descriptors: Technology Uses in Education, Artificial Intelligence, Natural Language Processing, Cheating
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Geary, David C.; Hoard, Mary K.; Nugent, Lara – Developmental Psychology, 2023
Adolescents' (n = 342, 169 boys) general algebra and algebra word problems performance were assessed in 9th grade as were intelligence, academic achievement, working memory, and spatial abilities in prior grades. The adolescents reported on their academic attitudes and anxiety and their teachers reported on their in-class attentive behavior in 7th…
Descriptors: Males, Algebra, Word Problems (Mathematics), Spatial Ability
Sfetcu, Nicolae – Online Submission, 2023
The emotional intelligence models have helped to develop different tools for construct assessment. Each theoretical paradigm conceptualizes emotional intelligence from one of two perspectives: ability or mixed model. Ability models consider emotional intelligence as a pure form of mental ability and therefore as pure intelligence. Mixed models of…
Descriptors: Models, Emotional Intelligence, Cognitive Ability, Cognitive Processes
Quinones, Sunamy – ProQuest LLC, 2023
This study was an investigation of the moderating relationship between emotional intelligence, job satisfaction, and the level of remote work among teachers from K-12, including higher education teachers. A total of 292 participants (N = 292) were recruited through social media platforms and Amazon Mechanical Turk. Participants completed a…
Descriptors: College Faculty, Distance Education, Emotional Intelligence, Job Satisfaction
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Nasri, Nurfaradilla Mohamad; Nasri, Nurfarahin; Nasri, Nur Faraliyana; Talib, Mohamad Asyraf Abd – IEEE Transactions on Learning Technologies, 2023
Intelligent personal assistants (IPAs) carry massive potential in enhancing students' performance through individualized dynamic scaffolding strategy. Despite IPAs being increasingly recognized among educationists, little is known about their application in the development of students' scientific inquiry skills, particularly in physics. This study…
Descriptors: Academic Achievement, Artificial Intelligence, Handheld Devices, Inquiry
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Putnikovic, Marko; Jovanovic, Jelena – IEEE Transactions on Learning Technologies, 2023
Automatic grading of short answers is an important task in computer-assisted assessment (CAA). Recently, embeddings, as semantic-rich textual representations, have been increasingly used to represent short answers and predict the grade. Despite the recent trend of applying embeddings in automatic short answer grading (ASAG), there are no…
Descriptors: Automation, Computer Assisted Testing, Grading, Natural Language Processing
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Crompton, Helen; Burke, Diane – International Journal of Educational Technology in Higher Education, 2023
This systematic review provides unique findings with an up-to-date examination of artificial intelligence (AI) in higher education (HE) from 2016 to 2022. Using PRISMA principles and protocol, 138 articles were identified for a full examination. Using a priori, and grounded coding, the data from the 138 articles were extracted, analyzed, and…
Descriptors: Artificial Intelligence, Higher Education, Publications, Educational Trends
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Özbey, Muhammed; Kayri, Murat – Education and Information Technologies, 2023
In this study, the factors affecting the transactional distance levels of university students who continue their courses with distance education in the 2020-2021 academic years due to the COVID pandemic process were examined. Factors that affect transactional distance are modeled with Artificial Neural Networks, one of the data mining methods.…
Descriptors: College Students, Distance Education, Electronic Learning, Anxiety
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Jiang, Shiyan; Qian, Yingxiao; Tang, Hengtao; Yalcinkaya, Rabia; Rosé, Carolyn P.; Chao, Jie; Finzer, William – Education and Information Technologies, 2023
As artificial intelligence (AI) technologies are increasingly pervasive in our daily lives, the need for students to understand the working mechanisms of AI technologies has become more urgent. Data modeling is an activity that has been proposed to engage students in reasoning about the working mechanism of AI technologies. While Computational…
Descriptors: Computation, Thinking Skills, Cognitive Processes, Artificial Intelligence
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Rix, Jonathan – British Journal of Learning Disabilities, 2023
Background: The terms idiot, imbecile, and moron are generally associated with notions of intelligence, having served both scientific and mundane roles across cultural-historical contexts and in many different countries. This study seeks to explore the degree to which the use of these terms is an everyday part of our lives and to map out the…
Descriptors: Language Usage, Intelligence, Intellectual Disability, News Media
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