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Gustavo Simas da Silva; Vânia Ribas Ulbricht – International Association for Development of the Information Society, 2023
ChatGPT and Bard, two chatbots powered by Large Language Models (LLMs), are propelling the educational sector towards a new era of instructional innovation. Within this educational paradigm, the present investigation conducts a comparative analysis of these groundbreaking chatbots, scrutinizing their distinct operational characteristics and…
Descriptors: Comparative Analysis, Teaching Methods, Computer Software, Artificial Intelligence
Muhammad Amin Nadim; Raffaele Di Fuccio – European Journal of Education, 2025
Higher education has witnessed remarkable technological advancements; however, the rapid rise of generative artificial intelligence (Gen AI) presents substantial challenges for teaching and research. This growing reliance has expanded educators' roles, underscoring the need for ethical and selective AI integration while preparing students and…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Ethics
Peng Wang; Kexin Yin; Mingzhu Zhang; Yuanxin Zheng; Tong Zhang; Yanjun Kang; Xun Feng – Education and Information Technologies, 2025
In the era of educational informatization, nurturing critical thinking skills has become a central focus. However, the current state of Chinese students' critical thinking development is concerning, prompting researchers to explore effective enhancement strategies. Based on constructivist learning theory, this study leveraged the advancements in…
Descriptors: Critical Thinking, Skill Development, Artificial Intelligence, Computer Software
Conijn, Rianne; Kahr, Patricia; Snijders, Chris – Journal of Learning Analytics, 2023
Ethical considerations, including transparency, play an important role when using artificial intelligence (AI) in education. Explainable AI has been coined as a solution to provide more insight into the inner workings of AI algorithms. However, carefully designed user studies on how to design explanations for AI in education are still limited. The…
Descriptors: Ethics, Writing Evaluation, Artificial Intelligence, Essays
Jia, Qinjin; Young, Mitchell; Xiao, Yunkai; Cui, Jialin; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – International Educational Data Mining Society, 2022
Providing timely feedback is crucial in promoting academic achievement and student success. However, for multifarious reasons (e.g., limited teaching resources), feedback often arrives too late for learners to act on the feedback and improve learning. Thus, automated feedback systems have emerged to tackle educational tasks in various domains,…
Descriptors: Student Projects, Feedback (Response), Natural Language Processing, Guidelines
Ji Eun Lee; Unkyoung Maeng – Journal of Pan-Pacific Association of Applied Linguistics, 2023
This study explored high school students' perceptions of using AI chatbots in English learning. Specifically, it aimed to gauge the breadth of chatbot utilization and discern perceptions surrounding potential challenges linked to their use. Thirty students from a high school took part in the survey. Data analysis involved frequency, mean and an…
Descriptors: Ethics, Student Attitudes, High School Students, Artificial Intelligence
Melek Sapan; Levent Uzun – International Journal of Education in Mathematics, Science and Technology, 2024
Artificial intelligence (AI) has gained importance and popularity in education recently. As an AI-based chatbot, ChatGPT has attracted the attention of educators and researchers from different fields, as well. The present study aims to explore the effect of ChatGPT-integrated English lessons on the 10th grade Turkish EFL learners' writing skill…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Litman, Diane; Zhang, Haoran; Correnti, Richard; Matsumura, Lindsay Clare; Wang, Elaine – Grantee Submission, 2021
Automated Essay Scoring (AES) can reliably grade essays at scale and reduce human effort in both classroom and commercial settings. There are currently three dominant supervised learning paradigms for building AES models: feature-based, neural, and hybrid. While feature-based models are more explainable, neural network models often outperform…
Descriptors: Essays, Writing Evaluation, Models, Accuracy
Labrecque, Lauren I.; Markos, Ereni; Darmody, Aron – Journal of Marketing Education, 2021
Sophisticated technology advances are delivering new and powerful ways for marketers to collect and use consumer data. These data-driven marketing capabilities present a unique challenge for students, as they will soon be expected to manage consumer data and make business decisions based on ethical, legal, and fiscal considerations. This article…
Descriptors: Marketing, Advertising, Privacy, Comparative Analysis
Lee, Victor R.; Drake, Joel; Cain, Ryan; Thayne, Jeffrey – Cognition and Instruction, 2021
Given growing interest in K-12 data and data science education, new approaches are needed to help students develop robust understandings of and familiarity with data. The model of the "quantified self"--in which data about one's own activities are collected and made into objects of study--provides inspiration for one such approach. By…
Descriptors: Statistics Education, Familiarity, Self Concept, Prior Learning
Alessio, Helaine M.; Malay, Nancy; Maurer, Karsten; Bailer, A. John; Rubin, Beth – Online Learning, 2017
Online education continues to grow, bringing opportunities and challenges for students and instructors. One challenge is the perception that academic integrity associated with online tests is compromised due to undetected cheating that yields artificially higher grades. To address these concerns, proctoring software has been developed to address…
Descriptors: Supervision, Scores, Computer Assisted Testing, Undergraduate Students
Linantud, John; Kaftan, Joanna – Journal of Political Science Education, 2019
This article uses a multimethod research design to compare Statecraft to non-Statecraft assignments and courses along three dimensions: student engagement, political attitudes, and academic honesty. The results indicate that Statecraft increased student engagement and academic honesty. In terms of political attitudes, students generally remained…
Descriptors: Political Science, Teaching Methods, Comparative Analysis, International Relations
Hemphill, Sheryl A.; Heerde, Jessica A.; Herrenkohl, Todd I.; Toumbourou, John W.; Catalano, Richard F. – Health Education & Behavior, 2012
Context: School suspension may have unintended consequences in contributing to problem behaviors, including dropping out from school, substance use, and antisocial behavior. Tobacco use is an early-onset problem behavior, but prospective studies of the effects of suspension on tobacco use are lacking. Method: Longitudinal school-based survey of…
Descriptors: Suspension, Student Behavior, Antisocial Behavior, Smoking
Lalley, James P.; Piotrowski, Phillip S.; Battaglia, Barbara; Brophy, Keith; Chugh, Kevin – International Journal of Environmental and Science Education, 2010
The purpose of the present study was to examine and compare the effectiveness of virtual frog dissection using V-Frog[C] and physical frog dissection on learning, retention, and affect. Subjects were secondary students enrolled in year-long life science classes in a suburban high school (N=102). Virtual dissections were done with V-Frog[C], a…
Descriptors: Computer Simulation, Computer Assisted Instruction, Laboratory Procedures, Pretests Posttests
Rawlinson, David R.; Lupton, Robert A. – Journal of Education for Business, 2007
Students' attitudes and perceptions regarding the use of unlicensed software are important to educators and businesses. Students have a proven propensity to pirate software and other intellectual property. By understanding how attitudes and perceptions toward software piracy differ among university students in a cross-national context, educators…
Descriptors: Student Attitudes, Computer Software, Information Technology, Foreign Countries
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