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Murat Tekin; Çetin Toraman; Aysen Melek Aytug Kosan – International Journal of Assessment Tools in Education, 2024
In the present study, we examined the psychometric properties of the data obtained from the Commitment to Profession of Medicine Scale (CPMS) with 4-point, 5-point, 6-point, and 7-point response sets based on Item Response Theory (IRT). A total of 2150 medical students from 16 different universities participated in the study. The participants were…
Descriptors: Psychometrics, Medical Students, Likert Scales, Data Collection
Ali Yildiz; Bünyamin Ispir – Online Submission, 2024
The study aims to reveal the thoughts of the researchers about the data collection process in the studies whose data were provided by the participants' views. The case study approach, one of the qualitative research designs, was used in the study. The study group of the research consists of a total of 12 experienced researchers, 9 women, and 3…
Descriptors: Doctoral Students, College Graduates, Student Research, Student Attitudes
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Baylee A. Edwards; Jude Kolodisner; Jacob P. Youngblood; Katelyn M. Cooper; Sara E. Brownell – Advances in Physiology Education, 2024
The impersonal nature of high-enrollment science courses makes it difficult to build student-instructor relationships, which can negatively impact student learning and engagement, especially for members of marginalized groups. In this study, we explored whether an instructor collecting and sharing aggregated student demographics could positively…
Descriptors: Higher Education, Data Collection, Surveys, Demography
Valeria Damiani; Bruno Losito; Gabriella Agrusti; Wolfram Schulz – International Association for the Evaluation of Educational Achievement, 2024
The IEA's International Civic and Citizenship Education Study (ICCS) investigates the ways in which young people around the world are prepared to undertake their roles as citizens. This report presents the European results from the third cycle of the study (ICCS 2022). Eighteen countries and two benchmarking participants (the German states of…
Descriptors: Citizen Participation, Foreign Countries, Grade 8, Grade 9
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Beth Chance; Andrew Kerr; Jett Palmer – Journal of Statistics and Data Science Education, 2024
While many instructors are aware of the "Literary Digest" 1936 poll as an example of biased sampling methods, this article details potential further explorations for the "Digest's" 1924-1936 quadrennial U.S. presidential election polls. Potential activities range from lessons in data acquisition, cleaning, and validation, to…
Descriptors: Publications, Public Opinion, Surveys, Bias
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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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Jelena Mihajlovic-Milicevic; Miloš Radenkovic; Aleksandra Labus; Danijela Stojanovic; Zorica Bogdanovic – Interactive Learning Environments, 2024
This paper studies the problem of coordination and supervision of virtual teams and their capabilities. The goal is to develop a model suitable for managing virtual student teams specialized in the development of smart environments. The developed model is based on SAFe and DevOps, which when combined provide us with a framework for the evaluation…
Descriptors: Educational Environment, Virtual Classrooms, Group Instruction, Active Learning
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Yueqiao Jin; Vanessa Echeverria; Lixiang Yan; Linxuan Zhao; Riordan Alfredo; Yi-Shan Tsai; Dragan Gasevic; Roberto Martinez-Maldonado – Journal of Learning Analytics, 2024
Multimodal learning analytics (MMLA) integrates novel sensing technologies and artificial intelligence algorithms, providing opportunities to enhance student reflection during complex, collaborative learning experiences. Although recent advancements in MMLA have shown its capability to generate insights into diverse learning behaviours across…
Descriptors: Learning Analytics, Accountability, Ethics, Artificial Intelligence
Matthew McGrievy – ProQuest LLC, 2024
The purpose of this descriptive research study was to evaluate the web-based practice experience tracking system at a school of public health (SPH) at a large southeastern university. Applied practice experiences (APEs) are a key component of public health education, and schools and programs of public health in the United States must provide…
Descriptors: College Faculty, College Students, Public Health, Health Education
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Ping Zhao; Chunling Sun; Baojun Lv; Lan Guo; Jiansheng Gao; Xin Zhao; Fengming Jiao – International Journal of Information and Communication Technology Education, 2024
This paper discusses the application value of the writing teaching mode combined with the mixed teaching mode in college English writing teaching against the background of big data. Focusing on production-oriented approach (POA) theory, this paper proposes a mixed learning writing model for English teaching and applies the POA mixed learning…
Descriptors: Writing Instruction, Blended Learning, Data Analysis, Data Collection