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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
Araitz Uskola; Nahia Seijas – Research in Science & Technological Education, 2023
Background: Science education should encompass enculturation in science which implies performing scientific practices such as use of data and modelling, in authentic contexts like the field. Purpose: This work aims to determine how preservice elementary teachers (PETs) use data obtained in the field, and how these data contribute to the process of…
Descriptors: Geology, Preservice Teachers, Elementary School Teachers, Science Education
Wright, Susan L.; Chitavi, Michael – Research in Higher Education Journal, 2022
This paper describes a process for evaluating student learning at the course-level. Course-level data is used to inform continuous improvement of program-level assessment. The sample consists of direct and indirect measures related to 101 students enrolled in a principles of financial accounting course. Direct measures indicate that most students…
Descriptors: Student Evaluation, Outcomes of Education, Data Collection, Academic Achievement
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
Jones, Kyle M. L.; Goben, Abigail; Perry, Michael R.; Regalado, Mariana; Salo, Dorothea; Asher, Andrew D.; Smale, Maura A.; Briney, Kristin A. – portal: Libraries and the Academy, 2023
Higher education data mining and analytics, like learning analytics, may improve learning experiences and outcomes. However, such practices are rife with student privacy concerns and other ethics issues. It is crucial that student privacy expectations and preferences are considered in the design of educational data analytics. This study forefronts…
Descriptors: College Students, Student Attitudes, Data Collection, Learning Analytics
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
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
Hirsch, Shanna E.; Griffith, Catherine A.; Kelley, Mya H.; Carlson, Alex; McKown, Georgia – Teacher Education and Special Education, 2023
To date, research on mixed-reality simulation (MRS) has focused on various skills including applied behavior analysis, but studies have not evaluated the role of preservice teachers' perceived knowledge, confidence, usefulness, or actual practice related to data collection. To address this gap, we conducted two separate MRS studies, one for…
Descriptors: Preservice Teachers, Knowledge Level, Skill Development, Computer Simulation
Greenhalgh, Spencer P.; DiGiacomo, Daniela K.; Barriage, Sarah – Information and Learning Sciences, 2023
Purpose: The purpose of this paper is to examine how higher education students think about educational technologies they have previously used -- and the implications of this understanding for their awareness of datafication and privacy issues in a postsecondary context. Design/methodology/approach: The authors conducted two surveys about students'…
Descriptors: Ethics, Privacy, Learning Management Systems, Learning Analytics
Benjamin Rieth – New England College Journal of Applied Educational Research, 2023
Talking circles, also known as sharing circles, have been used in ceremonies for hundreds of years. Rooted in Indigenous values and knowledge systems emphasizing interconnectedness and responsibility to community, participants share power through storytelling, empowering each participant to share what they want in a non-judgmental environment,…
Descriptors: Research Methodology, Indigenous Knowledge, Story Telling, Personal Narratives
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
Ho, Stephanie – LEARNing Landscapes, 2023
During a two-term observational study of my Secondary English Language Arts (ELA) class, I introduced "Surrealism" to the existing curriculum. Jot notes, personal interviews, and a self-study comprised my data strands. The COVID-19 pandemic struck shortly before my scheduled in-person interviews. This uncertainty disrupted my doctoral…
Descriptors: Interviews, COVID-19, Pandemics, Videoconferencing
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
Shamsi, Esmat; Bozorgian, Hossein – Education and Information Technologies, 2022
Many studies have explored educational and pedagogical affordances of social media, but few studies have investigated their impact on emotional and psychological aspects of language learning specifically Willingness to Communicate (WTC) in second and foreign language learners. In this paper, we have reviewed related research published in the last…
Descriptors: Literature Reviews, Social Media, Second Language Learning, Student Attitudes
Owan, Valentine J.; Obla, Moses E.; Asuquo, Michael E.; Owan, Mercy V.; Okenjom, Godian P.; Undie, Stephen B.; Ogar, Joseph O.; Udeh, Kelechi V. – Journal of Pedagogical Research, 2023
Previous research has extensively analysed teachers' and students' Facebook use for instructional engagement, writing, research dissemination and e-learning. However, Facebook as a data collection mechanism for research has scarcely been the subject of previous studies. The current study addressed these gaps by analysing students' awareness,…
Descriptors: Student Attitudes, Social Media, Student Research, Data Collection