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Direct linkMuhammad Tajammal Munir; Prashant K. Jamwal; Bing Li; Susan Carter; Shahid Hussain – Innovations in Education and Teaching International, 2025
This paper presents a comprehensive study on the integration of 3D printing technology in biomedical robotics education with undergraduate students learning about the design of robotic systems. The research investigated the effectiveness of this new teaching strategy in enhancing students' understanding of complex engineering principles by…
Descriptors: Engineering Education, Computer Peripherals, Biomedicine, Robotics
Download full textShell, Madelynn D.; Strouth, Maranda; Reynolds, Alexandria M. – Learning Assistance Review, 2021
This study investigated the influence of longhand (paper and pen), keyboard, and stylus note-taking on academic performance in college classes. Students attended mini-lectures and took notes using longhand, keyboard, or stylus. Students took quizzes after each mini-lecture and reported their engagement. Final course grades were recorded.…
Descriptors: Notetaking, Lecture Method, Keyboarding (Data Entry), Handwriting
Chang, I.-Chiu; Lin, Chih-Yu; Wen, Chia-Hsien; Lo, Huan-Kuei; Ho, Tsung-Jung – Interactive Learning Environments, 2020
The aim of this study is to evaluate a 3D (Three Dimensional) Traditional Chinese Medicine (TCM) e-learning platform and determine the factors affecting students' intention to continue to use the platform in TCM courses. Students from two classes were invited to participate in the experiment. To compare the effectiveness of both learning methods,…
Descriptors: Intention, Computer Peripherals, Printing, Educational Technology
Fleming, Jacqueline – Journal of Negro Education, 2019
This study of minority students entering their first year of an urban historically Black college (HBCU) investigated the utility of commercial subliminal audio aids to improve academic performance, along with a method of automatic delivery of said messages. Recruited from graduates of an eight-week summer program, 324 developmental students were…
Descriptors: College Freshmen, African American Students, At Risk Students, Developmental Studies Programs
Lee, Hyeon Woo – Asia-Pacific Education Researcher, 2015
This study aims to examine the effects of a touchscreen device (iPad in this study) on students' learning compared to a desktop PC in terms of tactile vision. The participants were 56 undergraduate students: 24 studied using a desktop PC (mouse-based interaction) and the others studied using a touchscreen device (touch-based interaction) about the…
Descriptors: Manipulative Materials, Academic Achievement, Comparative Analysis, Handheld Devices
Kiriakidis, Peter – International Journal on E-Learning, 2012
How does Skype, as an online communication tool, contribute to school and district administrators' reported level of self-efficacy? A sample of n = 39 participants of which 22 were school administrators and 17 were district administrators was purposefully selected to use Skype in their offices with a webcam and microphone to communicate with other…
Descriptors: Stakeholders, Self Efficacy, Video Technology, Computer Software
Legutko, Robert S. – Online Submission, 2007
Background: The idea for attempting a distance tutoring project between university tutors and elementary school students using Microsoft NetMeeting was conceived: (a) to provide a new experience mentoring children for university students pursuing a teaching certificate, (b) for university students to utilize technology in pedagogy, (c) as an…
Descriptors: Elementary School Students, College Students, Tutors, Tutoring
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
