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Tripodi, Nicholas; Kelly, Kate; Husaric, Maja; Wospil, Rebecca; Fleischmann, Michael; Johnston, Susan; Harkin, Katherine – Anatomical Sciences Education, 2020
Student engagement is known to have several positive effects on learning outcomes and can impact a student's university experience. High levels of engagement in content-heavy subjects can be difficult to attain. Due to a major institutional restructure, the anatomy prosection laboratory time per subject was dramatically reduced. In response, the…
Descriptors: Anatomy, Models, Visual Aids, College Freshmen
D'Eon, Marcel; Yasinian, Maryam – Higher Education Research and Development, 2022
In this article, we propose a new model of student workload. We conducted an extensive literature review of student workload, its impact on students' lives, factors influencing student workload, objective and subjective measurements. The previous conceptualizations of student workload conflate student work and course workload, two related but…
Descriptors: Physics, Science Instruction, Learning Processes, Barriers
Dawson, Shirley; Napper, Vicki – Journal of the International Society for Teacher Education, 2020
Despite the presence of codes and laws, ethical decision-making by educators continues to elude understanding. The purpose of this descriptive study was to explore factors in education ethical decision-making that may influence teacher behaviors in order to develop training materials for future teachers. Previously vetted scenarios based on actual…
Descriptors: Ethics, Ethical Instruction, Moral Issues, Decision Making
List, Alexandra; Alexander, Patricia A.; Stephens, Lori A. – Discourse Processes: A multidisciplinary journal, 2017
Three indicators of undergraduate students' (n = 197) source evaluation were investigated as students completed an academic task requiring the use of multiple texts. The source evaluation metrics examined were students' (1) accessing of document information, (2) trustworthiness ratings, and (3) citation in written responses. All three indicators…
Descriptors: Undergraduate Students, Evaluation Methods, Information Sources, Credibility
Huang, Xiaoxia – Interactive Learning Environments, 2017
Previous research has indicated the disconnect between example-based research focusing on worked examples (WEs) and that focusing on modeling examples. The purpose of this study was to examine and compare the effect of four different types of examples from the two separate lines of research, including standard WEs, erroneous WEs, expert (masterly)…
Descriptors: Teaching Methods, Problem Solving, Academic Achievement, Cognitive Processes
Mori, Kanetaka; Okamoto, Masahiko – Journal of Educational Psychology, 2017
We investigated how the updating function supports the integration process in solving arithmetic word problems. In Experiment 1, we measured reading time, that is, translation and integration times, when undergraduate and graduate students (n = 78) were asked to solve 2 types of problems: those containing only necessary information and those…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Mathematical Concepts
Fernex, Alain; Lima, Laurent; de Vries, Erica – Higher Education: The International Journal of Higher Education and Educational Planning, 2015
The purpose of this article is to study how students allocate time to different university and extra-university activities and to identify factors that might explain variability both between and within fields of study. At the heart of this exercise is the question of the time students dedicate to academic activities in competition with a whole…
Descriptors: Time Management, Time Factors (Learning), Study Habits, Learning Activities
Kovanovic, Vitomir; Gaševic, Dragan; Dawson, Shane; Joksimovic, Srecko; Baker, Ryan S.; Hatala, Marek – Journal of Learning Analytics, 2015
With widespread adoption of Learning Management Systems (LMS) and other learning technology, large amounts of data--commonly known as trace data--are readily accessible to researchers. Trace data has been extensively used to calculate time that students spend on different learning activities--typically referred to as time-on-task. These measures…
Descriptors: Time on Task, Computation, Validity, Data Analysis
Heathcock, Kristin – Journal of Library & Information Services In Distance Learning, 2015
Embedded librarians in online courses provide a wealth of service and information to students. Though students indicate that these services are valuable, the librarians providing embedded services frequently note that these projects are very time consuming. This study examines the provision of a less time-intensive model of embedded librarianship…
Descriptors: Online Courses, Models, Library Services, Library Research
Powell, Karan; Helm, Jennifer Stephens; Layne, Melissa; Ice, Phil – Administrative Issues Journal: Education, Practice, and Research, 2012
Technological and pedagogical advances in distance education have accentuated the necessity for higher education to keep pace regarding institutional infrastructures. Each infrastructure--driven by a common mission to provide quality learning--interprets quality according to standards established by various governmental and accrediting entities.…
Descriptors: Online Courses, Distance Education, Higher Education, National Standards
Cronholm, Stefan – Information Systems Education Journal, 2010
This study is about course evaluation in Swedish higher education. Performing course evaluation is regulated in Swedish law. Despite this, only half of the courses are evaluated. The aim of this study is to understand why satisfactory course evaluations not are performed. Problems are identified from a student perspective and the paper provides…
Descriptors: Foreign Countries, Course Evaluation, Higher Education, Student Attitudes
Kara, Orhan; Bagheri, Fathollah; Tolin, Thomas – American Journal of Business Education, 2009
Factors affecting students' grades in principles of microeconomics and macroeconomics students are analyzed from the data collected in two public universities. Results indicate that gender, number of hours worked, SAT scores, number of missed classes, recommending the course to a friend, instructors, being a junior, number of economics courses…
Descriptors: Economics Education, Educational Principles, Performance Factors, Grades (Scholastic)
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Silva, Gláucia V.; Macián, Janice L.; Mejía-Gómez, Magdalena – International Journal of Teaching and Learning in Higher Education, 2006
This paper describes a peer-mentoring program in a large language department. Experienced Teaching Associates (TAs) served as peer mentors to novice TAs, providing the type of individualized guidance that new TAs need. The peer mentoring model has several advantages over the supervision-only model, including one-on-one help, multiple classroom…
Descriptors: Mentors, Second Language Programs, Peer Teaching, Individualized Instruction
Wellman, Gregory S. – Journal of Interactive Online Learning, 2005
The purpose of this study was to examine the impact that proctored versus un-proctored testing would have on learning for an on-line content module; and examine the relationship between LASSI variables and learning. A randomized, pre-test/post-test control group design was employed. College students in a pharmacy curriculum, were randomized to two…
Descriptors: Comparative Analysis, Cognitive Style, Measures (Individuals), Online Courses