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Stephanie M. Robillard; Victor R. Lee; Jody Clarke-Midura; Jessica Shumway – Journal of Research on Technology in Education, 2025
This article uses interaction analysis to examine an episode moment-by-moment of how a group of educators recognized and acknowledged that a specific design decision could be harmful for a historically marginalized population of students enrolled in the district. However, once a key change was made to be more culturally responsive and considerate,…
Descriptors: Design, Computer Science, Culturally Relevant Education, Cooperation
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Galiya Ldokova; Svetlana Frumina; Suad Abdalkareem Alwaely – Smart Learning Environments, 2025
The aim of the study is to examine the influence of students' psychotypes on their learning using digital educational technologies within the Metaverse. In the course of the longitudinal experimental study, the results of the initial testing of 79 students during their undergraduate studies and the re-testing of 75 of these students during their…
Descriptors: Undergraduate Students, Graduate Students, Psychological Characteristics, Brain
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Marie-Monique Schaper; Mariana Aki Tamashiro; Rachel Charlotte Smith; Ole Sejer Iversen – ACM Transactions on Computing Education, 2025
As emerging technologies are rapidly advancing as part of our societies and everyday life, it is crucial to include and empower all students in learning about computing and advanced technologies. These include technical capabilities of algorithms, such as the use of AI, that enable novel interactions between humans and their environment and give…
Descriptors: Inclusion, Artificial Intelligence, Student Empowerment, Algorithms
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Quyen Tran – Technology in Language Teaching & Learning, 2025
Based on the concept of "learner agency", this single case study examines the self-instructed language learning process of a language learner with ChatGPT since May 2024. To serve the purpose of the study, qualitative data were collected through a semi-structured interview, the participant's chat logs with the bot, and his learning…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Technology Integration
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Mazhar Bal; Emre Öztürk – British Educational Research Journal, 2025
The purpose of this study is to examine the relationship between technology-supported writing instruction at the K-12 level and deep learning approaches and to understand the trends in this field. In the study, 12 articles selected from Web of Science, Scopus, ERIC and EBSCO databases were systematically analysed. The findings reveal that the…
Descriptors: Learning Processes, Writing Processes, Writing Skills, Writing Instruction
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Krista Larue Keeley, Editor – IGI Global, 2025
Vocational and regional education systems undergo significant transformations through the integration of innovative approaches designed to meet the demands of local economies and global labor markets. Emphasizing practical skills, industry partnerships, and technology-driven learning, these new models focus on preparing students for real-world…
Descriptors: Educational Innovation, Career and Technical Education, School Business Relationship, School Community Relationship
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Kerimbayev, Nurassyl; Nurym, Nurdaulet; Akramova, ?liya; Abdykarimova, Saule – Education and Information Technologies, 2020
The study considers the problems relating to vocational training of specialists in the virtual educational environment of a higher education institution. The use of advanced information and communication systems (electronic mail, electronic teleconferences, electronic and information resources including text, visual, audio and video information)…
Descriptors: Vocational Education, Computer Simulation, Information Systems, Computer Games
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Hoog, Tanner G.; Aufdembrink, Lauren M.; Gaut, Nathaniel J.; Sung, Rou-Jia; Adamala, Katarzyna P.; Engelhart, Aaron E. – Biochemistry and Molecular Biology Education, 2020
Structural biology education commonly employs molecular visualization software, such as PyMol, RasMol, and VMD, to allow students to appreciate structure--function relationships in biomolecules. In on-ground, classroom-based education, these programs are commonly used on University-owned devices with software preinstalled. Remote education…
Descriptors: Technology Uses in Education, Handheld Devices, Telecommunications, Computer Simulation
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Hosseini, Roya; Akhuseyinoglu, Kamil; Brusilovsky, Peter; Malmi, Lauri; Pollari-Malmi, Kerttu; Schunn, Christian; Sirkiä, Teemu – International Journal of Artificial Intelligence in Education, 2020
This research is focused on how to support students' acquisition of program construction skills through worked examples. Although examples have been consistently proven to be valuable for student's learning, the learning technology for computer science education lacks program construction examples with interactive elements that could engage…
Descriptors: Programming, Computer Science Education, Problem Solving, Learner Engagement
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Navarre, Edward C. – Journal of Chemical Education, 2020
A simple computer interface for controlling a compact spectrograph for use as a spectrophotometer in an undergraduate teaching laboratory was developed. The project was implemented on a Raspberry Pi computer which permits the integration of a light source into the software. The interface was written in Python to facilitate modification by the user…
Descriptors: Chemistry, Science Instruction, College Science, Undergraduate Students
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Alling, Sean; Knoesen, André – Advances in Engineering Education, 2020
The onset of COVID-19 required drastic changes on how students interacted in EE-Emerge, a course where the students design and build exhibits demonstrating engineering to the public. COVID-19 was used as an opportunity to expose students on how teams in industry collaborate effectively on a project remotely across time zones, and how to…
Descriptors: Engineering Education, Teaching Methods, COVID-19, Pandemics
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Jameson, Greg; Brüschweiler, Rafael – Journal of Chemical Education, 2020
The Boltzmann distribution lies at the heart of essentially all of statistical thermodynamics. In most textbooks, this distribution is introduced either "ad hoc" or it is mathematically derived by constrained entropy optimization using the method of Lagrange multipliers. Unfortunately, when students enroll in a statistical thermodynamics…
Descriptors: Computer Simulation, Science Instruction, Thermodynamics, Statistics
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Aruta, John A.; Schembari, N. Paul – Journal of Cybersecurity Education, Research and Practice, 2020
We describe the results of a master's thesis in malware detection and discuss the connection to the learning goals of the project. As part of the thesis, we studied obfuscation of malware, conversion of files into images, image processing, and machine learning, a process of benefit to both the student and faculty. Malware detection becomes…
Descriptors: Computer Software, Computer Security, Identification, Deception
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Bolenbaugh, Mallory; Foley-Nicpon, Megan; Young, Rachel; Tully, Melissa; Grunewald, Nikki; Ramirez, Marizen – Psychology in the Schools, 2020
Cyberbullying is a major health concern for today's youth and a pervasive stressor for adolescents and their families. This study offers qualitative insights into how parents perceive their children's technology use and engagement in cyberbullying based on gender. Eight focus groups were conducted with 48 parents of adolescents ages 10-17.…
Descriptors: Parent Attitudes, Gender Differences, Computer Mediated Communication, Bullying
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Feye, K. M.; Lekkala, H.; Lee-Bartlett, J. A.; Thompson, D. R.; Ricke, S. C. – Journal of Food Science Education, 2020
Automation is coming and will enable not only the ability to increase poultry processing line speeds, but also the collection of considerable "big data." These data can be collected "en masse," stored, analyzed, and used to improve food safety, quality, enhance traceability, and also be used for risk assessment. However, as…
Descriptors: College Students, Food, Safety, Computer Literacy
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