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Annabelle T. Lolinco; Thomas A. Holme – Journal of Chemical Education, 2024
Technological tools, like virtual assistants (aka chatbots), have been ubiquitous in people's day to day. The challenge becomes how educators leverage digital omnipresence to benefit the learning environment. Using a curated chatbot allows educators to reach more students with instructor-approved information, particularly in large classrooms.…
Descriptors: Help Seeking, Chemistry, Artificial Intelligence, Technology Uses in Education
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Jo Albin-Clark; Nathan Archer; Liz Chesworth – Contemporary Issues in Early Childhood, 2024
In this paper, we ponder the ecologies of spacetimematterings folded into resistance practices and their relationality with figurations of agency outside and beyond datafication agendas. Accountability cultures bound up with datafication have consequences that include a diminished agency for both children and educators. We take inspiration from…
Descriptors: Data Use, Resistance to Change, Early Childhood Education, Child Care
Yim Register – ProQuest LLC, 2024
The field of Data Science has seen rapid growth over the past two decades, with a high demand for people with skills in data analytics, programming, statistics, and ability to visualize, predict from, and otherwise make sense of data. Alongside the rise of various artificial intelligence (AI) and machine learning (ML) applications, we have also…
Descriptors: Artificial Intelligence, Ethics, Algorithms, Data Science
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Mark Adley; Hayley Alderson; Katherine Jackson; William McGovern; Liam Spencer; Michelle Addison; Amy O'Donnell – International Journal of Social Research Methodology, 2024
This paper considers the ethical and practical issues of recruiting for, and administering a quantitative survey with marginalised populations. These issues were identified through a focus group discussion, which consolidated and expanded upon informal conversations held previously by five researchers about their experiences of conducting a…
Descriptors: Foreign Countries, Researchers, Research, Research Design
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Reg Leichty – State Education Standard, 2024
Elementary and secondary schools increasingly face an onslaught of ransomware and other cyberattacks, which jeopardize sensitive data and the integrity of their digital infrastructure. The consequences of these attacks can be severe and costly, eroding community trust, disrupting learning, and permanently damaging equipment. The alarming scope and…
Descriptors: Elementary Secondary Education, Computer Security, State Boards of Education, Role Theory
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Ignacio Villagrán; Rocio Hernández; Gregory Schuit; Andrés Neyem; Javiera Fuentes; Loreto Larrondo; Elisa Margozzini; María T. Hurtado; Zoe Iriarte; Constanza Miranda; Julián Varas; Isabel Hilliger – Journal of Learning Analytics, 2024
Remote technology has been widely incorporated into health professions education. For procedural skills training, effective feedback and reflection processes are required. Consequently, supporting a self-regulated learning (SRL) approach with learning analytics dashboards (LADs) has proven beneficial in online environments. Despite the potential…
Descriptors: Feedback (Response), Independent Study, Skill Development, Learning Analytics
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Michelle C. Pasco; Anais Roque; Brittany Romanello; Emir Estrada – Field Methods, 2024
Photovoice involves respondents taking photographs of their environment to promote critical discussions and reflect on their experiences. Photovoice empowers marginalized communities and serves to reach policymakers. The Arizona Youth Identity Project (AZYIP) used photovoice with an innovative approach in a multisite research design with a large…
Descriptors: Photography, Social Action, Youth Programs, Research Methodology
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Andrea Zanellati; Stefano Pio Zingaro; Maurizio Gabbrielli – IEEE Transactions on Learning Technologies, 2024
Academic dropout remains a significant challenge for education systems, necessitating rigorous analysis and targeted interventions. This study employs machine learning techniques, specifically random forest (RF) and feature tokenizer transformer (FTT), to predict academic attrition. Utilizing a comprehensive dataset of over 40 000 students from an…
Descriptors: Dropouts, Dropout Characteristics, Potential Dropouts, Artificial Intelligence
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Selma Tosun; Dilara Bakan Kalaycioglu – Journal of Educational Technology and Online Learning, 2024
Predicting and improving the academic achievement of university students is a multifactorial problem. Considering the low success rates and high dropout rates, particularly in open education programs characterized by mass enrollment, academic success is an important research area with its causes and consequences. This study aimed to solve a…
Descriptors: Academic Achievement, Open Education, Distance Education, Foreign Countries
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Jessie King; Barnaby Kelly; Nayla Rhein; Rhonda Rosengren – Biochemistry and Molecular Biology Education, 2024
To best prepare students for the real-world research environment, key skills, including experimental design, data analysis, communication of results, and critical thinking, should be key components of undergraduate science courses. Furthermore, the impact of the COVID-19 pandemic on in-person teaching has resulted in a need to develop courses that…
Descriptors: Undergraduate Students, Laboratory Experiments, Research Design, Data Interpretation
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Holly Golecki; Joe Bradley – Biomedical Engineering Education, 2024
Biomedical engineering capstone design courses provide a salient opportunity to discuss ethical considerations in engineering. As technology and society develop and change, new challenges constantly arise related to how society and technology inform each other. In this space, ethical training for engineering students is critically important for…
Descriptors: Experiential Learning, Decision Making, Ethics, Capstone Experiences
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Md Akib Zabed Khan; Agoritsa Polyzou – Journal of Educational Data Mining, 2024
In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…
Descriptors: Academic Advising, Courses, Data Use, Artificial Intelligence
Statistics Canada, 2024
This handbook updates the general descriptions for the indicators of the Pan-Canadian Education Indicators Program (PCEIP) as new sets of tables are released. It is a reference document that gives readers a broad understanding of each indicator, rather than the very specific methodological descriptions that would be necessary to reproduce the…
Descriptors: Educational Indicators, Guidelines, Foreign Countries, Tables (Data)
Laurie Mazelin – ProQuest LLC, 2024
While utilizing assessment data has been a pervasive practice in educational reform for decades, and teachers are expected to use assessment data to improve instruction, little is known about how the practice of requiring teachers to review test data affects their perception of effectiveness in addressing the learning gaps of student groups. This…
Descriptors: Teacher Attitudes, Educational Practices, Data Use, Evaluation Methods
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Suren Ladd – Globalisation, Societies and Education, 2024
Due to the global COVID-19 pandemic, in-person data collection methods have been considerably hampered by requirements for social distancing and safety. Consequently, academic inquiry has shifted largely to virtual means, leading to the considerable growth of virtual qualitative research. Conducting virtual research in post-conflict contexts, such…
Descriptors: Foreign Countries, Qualitative Research, College Faculty, COVID-19
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