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Noor-i-Kiran Naeem; Zil-e-Fatima Naeem; Asfand Yar Anwar – Discover Education, 2024
This study aimed to determine the trends of smartphone usage and behaviours associated with its use among undergraduate medical students at ABWA Medical College, Pakistan. Conducted from July to December 2023, this cross-sectional survey involved 270 undergraduate medical students, with 264 participants responding, resulting in a 97.7% response…
Descriptors: Foreign Countries, Undergraduate Students, Medical Students, Handheld Devices
Lora Randa; Song Wang; Zoe Poolos; Vanna Figueroa; Anna Bridgeman; Thomas Bussey; Rou-Jia Sung – CBE - Life Sciences Education, 2024
Interpreting three-dimensional models of biological macromolecules is a key skill in biochemistry, closely tied to students' visuospatial abilities. As students interact with these models and explain biochemical concepts, they often use gesture to complement verbal descriptions. Here, we utilize an embodied cognition-based approach to characterize…
Descriptors: Undergraduate Students, Biochemistry, Nonverbal Communication, Communication Skills
Di Sun; Gang Cheng; Heng Luo – Interactive Learning Environments, 2024
Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science, MOOCs
Eui-Chul Jung; Meile Le – IAFOR Journal of Education, 2024
Interpreting and incorporating machine learning technology from a human perspective helps define the role of product designers in the era of artificial intelligence. With this background, this study developed a 7-week design course about machine learning-based product design. Subsequently, in Fall 2023, a class with seven undergraduate students…
Descriptors: Curriculum Development, Man Machine Systems, Artificial Intelligence, Merchandise Information
Osipenko, Maria – Education and Information Technologies, 2022
A data-driven model where individual learning behavior is a linear combination of certain stylized learning patterns scaled by learners' affinities is proposed. The absorption of stylized behavior through the affinities constitutes "building blocks" in the model. Non-negative matrix factorization is employed to extract common learning…
Descriptors: Behavior Patterns, Models, Undergraduate Students, Preferences
Ruijie Zhou; Chong Xie; Xiuling He; Yangyang Li; Qiong Fan; Ying Yu; Zhonghua Yan – Journal of Educational Computing Research, 2024
Computational thinking (CT), an essential competency for comprehending and addressing intricate issues in the digital world, has been incorporated into curriculum planning as a goal for programming education. This study introduced flow design into programming curricula to investigate its impact on undergraduates 'CT skills during pair work. Two…
Descriptors: Undergraduate Students, Thinking Skills, Computation, Programming
Isgard S. Hueck – ProQuest LLC, 2022
Workplace expectations for engineers have changed in the 21st century due to rapid technology advances, globalization, customer centricity, and team-based design practices, which require engineering graduates to have well-developed emotional intelligence (EI) to perform at high levels in the engineering profession. To fill the gap between…
Descriptors: Emotional Intelligence, Undergraduate Students, Engineering Education, Internship Programs
Jolie C. Matthews – Journal of Media Literacy Education, 2022
This article builds off prior work on news consumption habits and perception of bias in the news by focusing on college students' self-generated definitions of bias, and the strategies they employ to guard against how their personal bias potentially affects what news they choose to believe and consume. Through interviews with undergraduate…
Descriptors: Student Attitudes, Bias, News Media, Behavior Patterns
Hatice Yildiz Durak – Education and Information Technologies, 2025
Feedback is critical in providing personalized information about educational processes and supporting their performance in online collaborative learning environments. However, giving effective feedback and monitoring its effects, which is especially important in online environments, is a complex issue. Although providing feedback by analyzing…
Descriptors: Feedback (Response), Online Systems, Electronic Learning, Learning Analytics
Joe Olsen; Debbie Andres; Nicolette Maggiore; Charles Ruggieri – Physical Review Physics Education Research, 2023
Understanding how relationships between instructors and students develop is important for understanding the undergraduate student experience. We expect the development of positive relationships is related to the social practices (e.g., greetings, using names, sympathizing, or empathizing with students) that instructors use in the course of normal…
Descriptors: Undergraduate Students, Teaching Assistants, Interaction, Social Behavior
Melvin Prince; Emma Wang – Journal of Further and Higher Education, 2024
Past studies of academic dishonesty typically have been grounded in the theory of planned behaviour. Key predictors of academic dishonesty variables under this framework generally have been attitudes towards academic dishonesty, the impact of peer pressure to engage in such acts, and individual perceptions of related acts. However, planned…
Descriptors: Integrity, Cheating, Ethics, Student Behavior
Zuokun Li; Pey-Tee Emily Oon; Shaoming Chai – Education and Information Technologies, 2024
Promoting progressive discourse and sustained inquiry is a focus area of knowledge building research. Although different approaches for scaffolding productive discourse have been documented, the experimental investigation into the impact of teacher scaffolding on students' knowledge building processes and outcomes in technology-supported…
Descriptors: Scaffolding (Teaching Technique), Interaction, Behavior Patterns, Social Networks
Smith, Philip H.; Ward, Rose Marie; Bartoszek, Lauren A.; Branscum, Paul W. – Journal of American College Health, 2022
Objective: Electronic nicotine delivery system (ENDS) use on college campuses increased dramatically in recent years. Little is known about how ENDS use among college students relates to other substance use. Participants: Undergraduates (n = 3,917) at a mid-sized Midwestern public university in the United States. Methods: Cross-sectional survey…
Descriptors: Undergraduate Students, Smoking, Drinking, Marijuana
Carey Bernini Dowling; C. Veronica Smith; Yue Yin; Jeffrey M. Williams – Journal of the Scholarship of Teaching and Learning, 2025
People view many attributes, including intelligence, through implicit theories (or mindsets). Entity mindsets position the attribute as unchangeable or static, whereas incremental mindsets see the attribute as malleable or capable of being changed/improved (Dweck & Leggett, 1988). The present studies examined a new questionnaire designed to…
Descriptors: Grade Point Average, Undergraduate Students, Study Habits, Intelligence
Sáiz-Manzanares, María Consuelo; Marticorena-Sánchez, Raúl; Martín-Antón, Luis-J.; Almeida, Leandro; Carbonero-Martín, Miguel-Ángel – Comunicar: Media Education Research Journal, 2023
Advances in neuro-technology provide new insights into how individual students learn in educational contexts. However, applying it poses challenges for teachers in natural settings. This paper presents an example of the use and applicability of eye-tracking technology in Higher Education. We worked with a sample of 20 students from three…
Descriptors: Higher Education, Eye Movements, Comparative Analysis, Prior Learning