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Songhee Han; Min Liu – Educational Technology & Society, 2024
This paper describes our equity-driven development of a chatbot curriculum for a journalism professional development center's massive open online courses (MOOCs). A curriculum refers to entire student experiences that occur during the whole learning process in this context. We used a sequential and iterative development process with four phases to…
Descriptors: Computer Software, Artificial Intelligence, MOOCs, Journalism
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Karolína Dockalová Burská; Jakub Rudolf Mlynárik; Radek Ošlejšek – Education and Information Technologies, 2024
In cyber security education, hands-on training is a common type of exercise to help raise awareness and competence, and improve students' cybersecurity skills. To be able to measure the impact of the design of the particular courses, the designers need methods that can reveal hidden patterns in trainee behavior. However, the support of the…
Descriptors: Computer Science Education, Information Security, Computer Security, Training Methods
Melissa A. Otero – ProQuest LLC, 2024
With the advent of ChatGPT and other artificial intelligence (AI) tools, students have a new instrument that can create writing samples for them, making it easy to violate academic integrity. A constructivist grounded theory multiple-case study was conducted to address faculty perceptions of ChatGPT as a tool for learning and teaching instead of a…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Cheating
Preyadarshini Panday-Shukla – ProQuest LLC, 2024
This dissertation consists of two separate studies exploring current and emerging technologies for education. The current technology is presented in the first study as an open educational resource (OER) for language learning. This study explored the affordances of OERs for language by comparing a traditional textbook and an OER web-book in terms…
Descriptors: Educational Technology, Open Educational Resources, Language Acquisition, Computer Assisted Instruction
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Amato Nocera; Victoria Newton; Shiyan Jiang – Theory and Research in Social Education, 2024
This article investigates students' engagement with a historical inquiry into redlining--a practice of discriminatory lending that originated in the 1930s as part of the New Deal. The authors developed and implemented a week-long curricular intervention for high school sophomores using StoryQ--an Artificial Intelligence (AI) textual modeling…
Descriptors: Urban Schools, Charter Schools, High School Students, Artificial Intelligence
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D. V. D. S. Abeysinghe; M. S. D. Fernando – IAFOR Journal of Education, 2024
"Education is the key to success," one of the most heard motivational statements by all of us. People engage in education at different phases of our lives in various forms. Among them, university education plays a vital role in our academic and professional lives. During university education many undergraduates will face several…
Descriptors: Models, At Risk Students, Mentors, Undergraduate Students
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Lei Du; Beibei Lv – Education and Information Technologies, 2024
This research examines the influence of integrating generative artificial intelligence (GAI) in education, focusing on its acceptance and utilization among elementary education students. Grounded in the Task-Technology Fit (TTF) Theory and an expanded iteration of the Unified Theory of Acceptance and Use of Technology (UTAUT) model, the study…
Descriptors: Influences, Student Attitudes, Artificial Intelligence, Technology Uses in Education
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Hao-Yue Jin; Maria Cutumisu – Education and Information Technologies, 2024
Computational thinking (CT) is considered to be a critical problem-solving toolkit in the development of every student in the digital twenty-first century. Thus, it is believed that the integration of deeper learning in CT education is an approach to help students transfer their CT skills beyond the classroom. Few literature reviews have mapped…
Descriptors: Computation, Thinking Skills, Problem Solving, Artificial Intelligence
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Musa Saimon; Fredrick Mtenzi; Zsolt Lavicza; Kristóf Fenyvesi; Maik Arnold; José Manuel Diego-Mantecón – Education and Information Technologies, 2024
The 6E Learning by Design (LbD) model can enhance student teachers' development of competence for integrating technologies in the classrooms including Artificial Intelligence (AI). However, teacher educators rarely use the 6E LbD model in supporting and encouraging student teachers to integrate AI applications in their classrooms effectively. To…
Descriptors: Student Teachers, Teacher Educators, Artificial Intelligence, Technology Integration
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Ebenezer Bamfo Aidoo; Ronald Osei Mensah; Bernice Oteng – Cogent Education, 2024
This study sought to determine how tutors within the College of Education (CoE) scope at Ada, and in Accra, both townships in the Greater Accra Region, react to emotional intelligence and marital satisfaction. An expressive survey research design was used in the study to gather data from 96 married tutors, utilising structured questionnaires and…
Descriptors: Marital Satisfaction, Tutors, Foreign Countries, Emotional Intelligence
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Sainee Tamphu; Imam Suyitno; Gatut Susanto; Nia Budiana; M. Rais Salim; Nurhikmah; Wilda Purnawati – Cogent Education, 2024
Artificial intelligence (AI) has transformed education by enhancing personalization and learning efficiency. However, the application of AI in addressing its challenges and potential remains suboptimal. This study aims to provide a bibliometric analysis of AI in Education research, focusing on publications from 2017 to 2023 sourced from…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Research, Educational Change
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Helmiatin; Anto Hidayat; Muhammad Ridwan Kahar – Cogent Education, 2024
Artificial Intelligence (AI) influences many activities and aspects of daily life including the higher education environment. AI in education has become vital for educators and researchers. There is a rising debate regarding the positive advantages and how higher education institutions adapt to changes in the learning perspectives of students.…
Descriptors: Foreign Countries, State Universities, Artificial Intelligence, Technology Uses in Education
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Kevin C. Haudek; Xiaoming Zhai – International Journal of Artificial Intelligence in Education, 2024
Argumentation, a key scientific practice presented in the "Framework for K-12 Science Education," requires students to construct and critique arguments, but timely evaluation of arguments in large-scale classrooms is challenging. Recent work has shown the potential of automated scoring systems for open response assessments, leveraging…
Descriptors: Accuracy, Persuasive Discourse, Artificial Intelligence, Learning Management Systems
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Quang Huy Pham; Kien Phuc Vu – Cogent Education, 2024
An increasing focus has been placed on enhancing accounting student engagement (ASE) in blended learning courses (BLCs) because to its advantageous effects, particularly in the context of the pandemic. The primary objective of current study is to identify the distinct forms of intelligence possessed by lecturer that are relevant to teaching…
Descriptors: Blended Learning, Intelligence, Knowledge Base for Teaching, Teaching Methods
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Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
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