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Mo Wang; Minjuan Wang; Xin Xu; Lanqing Yang; Dunbo Cai; Minghao Yin – IEEE Transactions on Learning Technologies, 2024
This research project investigates the impact of prompt engineering, a key aspect of chat generative pretrained transformer (ChatGPT), on college students' information retrieval in flipped classrooms. In recent years, an increasing number of students have been using AI-based tools, such as ChatGPT rather than traditional research engines to learn…
Descriptors: Artificial Intelligence, Information Technology, Information Retrieval, Flipped Classroom
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Yoshija Walter – International Journal of Educational Technology in Higher Education, 2024
The present discussion examines the transformative impact of Artificial Intelligence (AI) in educational settings, focusing on the necessity for AI literacy, prompt engineering proficiency, and enhanced critical thinking skills. The introduction of AI into education marks a significant departure from conventional teaching methods, offering…
Descriptors: Artificial Intelligence, Multiple Literacies, Critical Thinking, Technology Uses in Education
Ahmed Ashraf Butt – ProQuest LLC, 2023
The proliferation of digital educational applications (apps) has revolutionized the pedagogical landscape for students and instructors, both within and beyond the confines of traditional classrooms. Educational apps offer a variety of features that can help students learn more effectively, including personalized instruction and real-time feedback.…
Descriptors: Prompting, Electronic Learning, Engineering, Learner Engagement
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Renzhe Yu; Hui Yang; Xiaoying Lin; Chengyuan Yao; Paul Burkander; Krystal Thomas; Jessica Mislevy – Grantee Submission, 2024
Self-regulated learning (SRL) is critical for student success in online postsecondary education. Many technology-based interventions have been studied to improve SRL skills, but few were situated in broad-access institutions that disproportionately serve systemically marginalized student populations in STEM fields. This study presents preliminary…
Descriptors: Educational Technology, Technology Uses in Education, Self Management, Postsecondary Education
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Zheng, Xudong; Ma, Yunfei; Yue, Tingyan; Yang, Xianmin – Educational Technology Research and Development, 2023
The purpose of this study was to investigate the effects of different types of cues and self-explanation prompts in instructional videos on intrinsic motivation, learning engagement, learning outcomes, and cognitive load, which were indicators to measure deep learning performance. Seventy-two college students were randomly assigned to one of the…
Descriptors: Cues, Reflection, Prompting, Video Technology
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Hsin-Yu Lee; Pei-Hua Chen; Wei-Sheng Wang; Yueh-Min Huang; Ting-Ting Wu – International Journal of Educational Technology in Higher Education, 2024
In the evolving landscape of higher education, challenges such as the COVID-19 pandemic have underscored the necessity for innovative teaching methodologies. These challenges have catalyzed the integration of technology into education, particularly in blended learning environments, to bolster self-regulated learning (SRL) and higher-order thinking…
Descriptors: Artificial Intelligence, Synchronous Communication, Blended Learning, Self Management
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Zheng, Hua; Jung, Eulho; Li, Tong; Yoon, Meehyun – Contemporary Educational Technology, 2022
This experimental study examined the effects of segmentation and self-explanation designs on cognitive load in instructional videos. Four types of instructional videos (segmentation, self-explanation, combined, and control) were created and tested by 121 undergraduate students randomly assigned to one of four research groups. The results of…
Descriptors: Video Technology, Educational Technology, Multimedia Materials, Multimedia Instruction
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Hyunsook Youn; Nancy Park; Ryan Michael Murphy – Communication Teacher, 2025
Courses: This activity can be used in writing-based (communication) courses across various disciplines including, but not limited to, introduction to writing and rhetoric, business communication, and communication research methods. Objectives: On completion of this activity, students will develop critical reading, thinking, and writing skills as…
Descriptors: Artificial Intelligence, Writing Skills, Writing Exercises, Computer Software
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Dominic Lohr; Hieke Keuning; Natalie Kiesler – Journal of Computer Assisted Learning, 2025
Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defined by experts and their experience. However, with the rise of generative AI and especially large…
Descriptors: College Students, Programming, Artificial Intelligence, Feedback (Response)
American Association of Colleges and Universities, 2024
Humanity is building exciting new partnerships with technology in the artificial intelligence age. Careers and work are rapidly being transformed and many of the jobs of tomorrow have not yet been invented. Students should make it their goal to become skilled in using AI comfortably, effectively, safely and ethically. Learn AI's capabilities and…
Descriptors: College Students, Student Experience, Technology Uses in Education, Artificial Intelligence
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Ober, Teresa M. – Teaching of Psychology, 2021
This study describes the pedagogical use of an online digital tool designed to support students' writing of research reports. The tool, "Manuscript Builder," provides a structure and a set of prompts to support students' writing. Participants included students enrolled in an undergraduate psychology course (N = 22) who were randomly…
Descriptors: Educational Technology, Technology Uses in Education, Writing Instruction, Social Sciences
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Yu, Fu-Yun; Cheng, Wen-Wen – Research and Practice in Technology Enhanced Learning, 2022
This study aims to examine if and how academic achievement and gender group composition affect the quality of online SGQ and the use patterns of procedural prompts provided to support SGQ activities. Forty-one university sophomores enrolled in an English as a foreign language class participated in a four-week study. All questions generated were…
Descriptors: Academic Achievement, Gender Differences, Undergraduate Students, English (Second Language)
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Killian, Janice N.; Henninger, Jacqueline C.; Williams, Blair A. – International Journal of Music Education, 2023
"We do not learn from experience. . .we learn from reflecting on experience" (Dewey, 1933). Building on the theoretical frameworks of Dewey and Schön involving reflective practice, we expanded existent reflective research by examining timing of preservice music educators' self-reflections after peer teaching. We examined reflection…
Descriptors: Preservice Teachers, Music Teachers, Reflective Teaching, Student Attitudes
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Jiyeon Park; Min Wook Ok – TechTrends: Linking Research and Practice to Improve Learning, 2024
Technology is recognized as a valuable learning tool, but research indicates that students are also distracted by the use of technology in class. Since college students constantly rely on their devices for learning, it has become imperative for instructors to find effective ways of integrating technology into their lessons while reducing digital…
Descriptors: Undergraduate Students, Handheld Devices, Student Behavior, Classroom Techniques
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Hefter, Markus H.; Kubik, Veit; Berthold, Kirsten – International Journal of Educational Technology in Higher Education, 2023
In recent years, COVID-19 policy measures massively affected university teaching. Seeking an effective and viable way to transform their lecture material into asynchronous online settings, many lecturers relied on prerecorded video lectures. Whereas researchers in fact recommend implementing prompts to ensure students process those video lectures…
Descriptors: Foreign Countries, College Students, Preservice Teachers, Video Technology
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