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Gerd Kortemeyer; Nora Dittmann-Domenichini; Claudia Merki – Discover Education, 2025
In the aftermath of the COVID-19 pandemic, students have more choice of how to attend courses than ever before; for a large number of courses at a technical university, they are still able to watch the lectures live online or in recorded format later. We found that interactivity may bring back students into the classroom almost as effectively as…
Descriptors: Lecture Method, Attendance, Decision Making, Blended Learning
J. Jacob Kirksey; Michael A. Gottfried; Arya Ansari; Teresa Lansford – Center for Innovative Research in Change, Leadership, and Education, 2024
Policymakers and educational leaders across state and federal agencies have invested considerable effort in identifying how schools can both mitigate and exacerbate student absenteeism. Despite extensive research into school-level characteristics and programs, there remains a notable gap in understanding the impact of classroom-level factors on…
Descriptors: Elementary Secondary Education, In Person Learning, Distance Education, Electronic Learning
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Morris Gellisch; Juliane Cramer; Justin Trenkel; Franziska Bäker; Martin Bablok; Gabriela Morosan-Puopolo; Thorsten Schäfer; Beate Brand-Saberi – Anatomical Sciences Education, 2025
In recent years, there has been a growing trend toward the digitization of education, highlighting the need to understand how different learning modalities impact medical student outcomes. This study analyzes user behavior among medical students in Microscopic Anatomy, focusing on preferences for digital versus face-to-face guided self-study. A…
Descriptors: Educational Technology, Technology Uses in Education, Anatomy, In Person Learning
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Tricia Shaw – Support for Learning, 2024
The return to school following the significant disruption to education during the COVID-19 pandemic presents challenges for students, teachers, and parents. In the English context, education leaders have expressed serious concerns about the significantly increased levels of anxiety and school absenteeism among students of all ages, particularly…
Descriptors: COVID-19, Pandemics, In Person Learning, Anxiety
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Kristin Hadfield; Mays Al-Hamad; Rinad Bakhti; Rana Dajani; Amal El Kharouf; Julia Michalek; Joana Mukunzi; Lina Qtaishat; Tanvi Sethi; Sophie von Stumm; Isabelle Mareschal – International Journal of Early Childhood, 2024
Refugee children often face disruptions to their education before and during displacement. However, little is known about either levels or predictors of refugee children's literacy or about their attitudes toward reading in low- or middle-income countries. To address this, we conducted in-home literacy assessments using the Holistic Assessment of…
Descriptors: Refugees, Predictor Variables, Literacy, Young Children
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Asha Kaushik; Sunil Rai; Geeta Thakur; Pankaj Kumar – Innovations in Education and Teaching International, 2024
This study establishes a relationship between commuting time and academic attainment of Bachelor of Technology students in face-to-face lectures and labs. A group of 244 students from a private university in India participated in this study. Surveys were conducted to know the specific effect of commuting time on students' academic performance and…
Descriptors: Foreign Countries, Commuting Students, Undergraduate Students, In Person Learning
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Ryan J. Coller; Gregory P. DeMuri; Jens C. Eickhoff; Kristina Singh-Verdeflor; Gemma Warner; Sabrina M. Butteris; Mary L. Ehlenbach; Danielle Gerber; Barbara Katz; Shawn Koval; Michelle M. Kelly – Journal of School Health, 2024
Background: Disparities in school attendance exist for children with medical complexity (CMC) due to COVID-19. Longitudinal changes in family-reported school safety perceptions and predictors of full-time, in-person school attendance are unknown. Methods: This was a prospective, longitudinal cohort study with 3 survey waves (June 2021-June 2022)…
Descriptors: COVID-19, Pandemics, Chronic Illness, Child Health
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Briana Fahey; Stephen Boddy – Advances in Physiology Education, 2024
Student-faculty interaction (SFI) is an important indicator of student engagement that positively associates with academic achievement and retention. Quantitative information regarding the impact of emergency remote teaching (ERT) during COVID-19 on SFI is limited. This retrospective, observational cohort study tests the hypothesis that COVID-19…
Descriptors: College Faculty, Teacher Student Relationship, COVID-19, Pandemics
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Rebecca Turner; Oliver Webb; Christie Pritchard – Innovations in Education and Teaching International, 2024
COVID-19 represented a time of disruption and innovation, with online learning ensuring students could still engage with their studies. With the pandemic stabilised, survey data (N > 600) were used to examine ongoing use and perceptions of online learning at a UK university. Despite some reversion to in-person practice, online provision still…
Descriptors: College Students, College Faculty, Student Attitudes, Teacher Attitudes
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Istijanto; Christabella Chelsea Nathalie – Cogent Education, 2024
The current research aims to examine the factors that influence student engagement after the COVID-19 pandemic. This study applied a survey , using an online questionnaire as a data collection method. The target respondents were both undergraduate and postgraduate students who experienced online learning during the pandemic and returned to…
Descriptors: Influences, Learner Engagement, Intention, Attendance
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Brigid A. McKenna; J. Bernhard Wehr; Peter M. Kopittke – Cogent Education, 2024
Learning management systems (LMSs) are ubiquitous in higher education, yet few studies have examined changes in student engagement online with year level. Using data mining of LMSs, we examined the frequency and timing with which first, second, and third year science students accessed the various LMS resources. We compared online access with both…
Descriptors: Electronic Learning, Learner Engagement, Undergraduate Students, Undergraduate Study
EdChoice, 2024
This poll was conducted between August 22-August 26, 2024 among a national sample of 1,002 Teens. The interviews were conducted online and the data were weighted to approximate a target sample of Teens based on gender, age, race, and region. Results from the full survey have a measure of precision of plus or minus 3.1 percentage points. This…
Descriptors: Adolescents, Student Attitudes, Gender Differences, Age Differences