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Samantha Schauer; Krishna Pakala; Diana Bairaktarova – Advances in Engineering Education, 2024
Traditional office hours are typically poorly attended for a variety of reasons, including the limitations imposed by faculty office space constraints in terms of simultaneous student participation. Virtual office hours are an option for instructors to support their students through a virtual learning environment. Research suggests that virtual…
Descriptors: College Faculty, College Students, Teacher Student Relationship, Academic Support Services
Michelle R. Kaufman; Xiaobin Zhou; Gayane Yenokyan; Deborah K. Levine; Kate Wright; Maritza Salcido; Michael Garringer; Lori-Ann Palen – Mentoring & Tutoring: Partnership in Learning, 2024
The COVID-19 pandemic prompted many youth mentoring programs to offer digital services (e-mentoring). The sustained success of these efforts depended, in large part, on organizations' digital readiness. Although there are established, broad measures of digital readiness, mentoring organizations have unique requirements for readiness that have not…
Descriptors: Mentors, COVID-19, Pandemics, Technology Integration
E. Marano; P. M. Newton; Z. Birch; M. Croombs; C. Gilbert; M. J. Draper – Higher Education Quarterly, 2024
Remote or online proctoring (invigilating) is a technology primarily used to improve the integrity of online examinations. The use of remote proctoring increased significantly as the world switched to online assessment during the COVID-19 pandemic. Remote proctoring received negative media attention, including concerns about user privacy,…
Descriptors: Student Experience, Supervision, Distance Education, Technology Uses in Education
Reynold E. Byers; Craig R. Carter; Yimin Wang – Decision Sciences Journal of Innovative Education, 2024
The advent of the COVID-19 pandemic accelerated the need to conduct synchronous online instruction in which students and faculty were distributed geographically but aggregated digitally onto a single screen on a computer. This approach will likely persist into the future. Thus, a better understanding of how engagement approaches can be adapted to…
Descriptors: Online Courses, Teaching Methods, Instructional Effectiveness, Learner Engagement
Tianyuan Yang; Baofeng Ren; Chenghao Gu; Boxuan Ma; Shin 'ichi Konomi – International Association for Development of the Information Society, 2024
As education increasingly shifts towards a technology-driven model, artificial intelligence systems like ChatGPT are gaining recognition for their potential to enhance educational support. In university education and MOOC environments, students often select courses that align with their specific needs. During this process, access to information…
Descriptors: Concept Formation, Artificial Intelligence, Computer Uses in Education, MOOCs
Megan Nakamura – ProQuest LLC, 2024
This study investigates the neurocognitive underpinnings of early language learning in adults and examines the modulating effects of individual differences in prior bilingual experience and cognitive capabilities. This study used a pre/post short-term longitudinal design with a 10-day Dutch language training via Rosetta Stone. Event-Related…
Descriptors: Indo European Languages, Brain Hemisphere Functions, Second Language Learning, Bilingualism
Sara Beth Frey – ProQuest LLC, 2024
Research has shown that inequitable participation in computer science education is an occupational injustice for students with disabilities, as it is an unfair and inequitable distribution of occupational opportunities. There is limited information regarding how schools' capacity for and access to computer science education relates to the…
Descriptors: Computer Science Education, Student Participation, Students with Disabilities, Disproportionate Representation
Jesús García Laborda; Teresa Magal Royo; Slavka Madarova – South African Journal of Education, 2024
The use of artificial intelligence in foreign language teaching, and particularly in teaching writing, is still under investigation for its potential positive impact and potential benefits. So far, the focus was on controversial uses, due to the challenges for the teachers. However, when used just for learning purposes, it can be a facilitating…
Descriptors: Taxonomy, Artificial Intelligence, Writing Instruction, Second Language Learning
Taskeen Hasrod; Yannick B. Nuapia; Hlanganani Tutu – Journal of Chemical Education, 2024
In order to improve the accessibility and user friendliness of an accurately pretrained stacking ensemble machine learning regressor used to predict sulfate levels (mg/L) in Acid Mine Drainage (AMD), a Graphical User Interface (GUI) was developed using Python by combining human input with ChatGPT and deployed in the Jupyter Notebook environment.…
Descriptors: Artificial Intelligence, Natural Language Processing, Educational Technology, Computer Software
Jie Yang; Yi Yuan; Na Wang; Xuehui Liu; Jing Gu; Rong Zeng; Mouxin Huang; Pengfei Zheng; Yuanqiang Wang; Chunji Huang; Qin Ouyang – Journal of Chemical Education, 2024
The utilization of virtual compound libraries and virtual screening has become a routine method in drug discovery and has accelerated the research of pharmacy and translational medicine. With the development of computer-aided drug design (CADD), it is essential to incorporate virtual experiments into the education of medicinal chemistry. Herein,…
Descriptors: Chemistry, Medicine, Science Education, Science Laboratories
Anna Cho – ProQuest LLC, 2024
The purpose of this research was to explore the perceptions of student affairs administrators, working in both public and private higher education institutions, regarding how they learned to use technology and gain insight into how their work would evolve in the future. While the COVID-19 pandemic affected everyone in the higher education…
Descriptors: Student Personnel Workers, Attitudes, Learning Processes, Educational Technology
Emmanuel Fokides; Georgia Lagopati – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This review's main objective was to examine the existing literature on the use of 3D printers in primary education, covering students aged six to twelve across general, special, and inclusive educational environments. Background: A review of the literature indicated a significant oversight -- prior reviews insufficiently distinguish…
Descriptors: Computer Peripherals, Printing, Technology Uses in Education, Elementary School Students
Esther Ulitzsch; Janine Buchholz; Hyo Jeong Shin; Jonas Bertling; Oliver Lüdtke – Large-scale Assessments in Education, 2024
Common indicator-based approaches to identifying careless and insufficient effort responding (C/IER) in survey data scan response vectors or timing data for aberrances, such as patterns signaling straight lining, multivariate outliers, or signals that respondents rushed through the administered items. Each of these approaches is susceptible to…
Descriptors: Response Style (Tests), Attention, Achievement Tests, Foreign Countries
Yongzhong Jiang; Dirgha Raj Joshi; Jeevan Khanal – International Journal of Educational Technology in Higher Education, 2024
University students' engagement in online activities can impact both internet addiction and academic performance. This research aims to investigate these effects among university students. Using data from the "China College Students Longitudinal Survey" conducted by the Chinese Academy of Social Sciences between 2013 and 2018, this study…
Descriptors: Internet, Computer Mediated Communication, Influence of Technology, Addictive Behavior
Lisa Paneth; Loris T. Jeitziner; Oliver Rack; Klaus Opwis; Carmen Zahn – International Journal of Computer-Supported Collaborative Learning, 2024
Successful computer-supported collaborative learning (CSCL) relies on collaborative group engagement, a complex construct characterized by multifaceted, dynamic, socio-emotional, and socio-cognitive processes. This paper provides a detailed analysis of collaborative group engagement, with a particular focus on nonverbal behaviors as indicators of…
Descriptors: Nonverbal Communication, Behavior Patterns, Cooperative Learning, Learner Engagement

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