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Jamal Kay B. Rogers; Tamara Cher R. Mercado; Ronald S. Decano – Journal of Education and Learning (EduLearn), 2025
Poor academic performance remains among the most concerning educational issues, especially in higher education and online learning. To address the concern, institutions like the University of Southeastern Philippines (USeP) leverage educational data mining (EDM) techniques to generate relevant information from learning management systems (LMS)…
Descriptors: Foreign Countries, Learning Management Systems, Academic Achievement, Data Analysis
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Dyer, Jamie O.; Elsenpeter, Ryan L. – Bioscene: Journal of College Biology Teaching, 2018
Numerous studies have examined the use of active learning methods in undergraduate courses, suggesting that these methods increase learning and retention as well as student engagement. In order to investigate the benefits of particular active learning assignments involving presentations of 3-dimensional simulations in an introductory biology…
Descriptors: Data Analysis, Active Learning, Assignments, Student Evaluation
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Laukens, Kris; Eyckmans, Marleen; De Neuter, Nicolas; Naulaerts, Stefan; Meysman, Pieter; Van Ostade, Xaveer – Journal of Biological Education, 2021
While computational biology and bioinformatics became an inherent part of most life science degrees, it remains challenging to encourage students to employ these diverse skills in a practical research context. In this education paper, we present a method to enable students to acquire hands-on skills by the data-driven study of complex biomolecular…
Descriptors: Data Analysis, Communicable Diseases, Molecular Biology, Science Instruction
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Rozell, Timothy G.; Johnson, Jessica; Sexten, Andrea; Rhodes, Ashley E. – Journal of College Science Teaching, 2017
Students in a junior- and senior-level Anatomy and Physiology course have the opportunity to correct missed exam questions ("regrade") and earn up to half of the original points missed. The three objectives of this study were to determine if: (a) performance on the regrade assignment was correlated with scores on subsequent exams, (b)…
Descriptors: Physiology, Scores, Grades (Scholastic), Exit Examinations
Geigle, Chase – ProQuest LLC, 2018
There are two primary challenges for instructors in offering a high-quality course at large scale. The first is scaling educational experiences to such a large audience. The second major challenge encountered is that of enabling adaptivity of the educational experience. This thesis addresses both major challenges in the way of high-quality…
Descriptors: Barriers, Educational Quality, Computer Assisted Testing, Educational Experience
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Blazar, David – Educational Researcher, 2015
Research on teacher stability typically focuses on the extent to which teachers remain in the same school, district, or the teaching profession from one year to the next. I investigate another facet of stability--whether teachers remain in the grade they teach. Drawing on administrative data from a large district in California, I find that high…
Descriptors: Assignments, Academic Achievement, Student Improvement, Looping (Teachers)
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Griffiths, Barry J.; Haciomeroglu, Erhan Selcuk – International Journal of Mathematical Education in Science and Technology, 2014
To ensure the competitiveness of the USA in the global economy, and its role as a leader in science and engineering, it is important to cultivate the next generation of home grown mathematicians. However, while universities across the USA offer calculus classes to thousands of undergraduate students each year, very few of them go on to major in…
Descriptors: Mathematics, Calculus, Undergraduate Students, Undergraduate Study
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Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne – Journal of the Learning Sciences, 2014
New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…
Descriptors: Programming, Computer Science Education, Learning Processes, Introductory Courses
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Kadijevich, Djordje M. – Journal of Educational Computing Research, 2012
By using a sample of 1st-year undergraduate business students, this study dealt with the development of simple (deterministic and non-optimization) spreadsheet models of income statements within an introductory course on business informatics. The study examined students' errors in doing this for business situations of their choice and found three…
Descriptors: Foreign Countries, Spreadsheets, Decision Support Systems, Teaching Methods
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Carmean, Colleen; Mizzi, Philip – EDUCAUSE Quarterly, 2010
Developed as a concept in the science of choice, subtle interactions--or "nudges"--can influence people's actions without infringing on their freedom of choice. This article makes the case that not only can the wealth of digital data in higher education nudge students to better achievement and persistence but also that the knowledge embedded in…
Descriptors: Higher Education, Decision Making, Academic Achievement, Academic Persistence
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Elmslie, Bruce T.; Tebaldi, Edinaldo – Journal of Economic Education, 2010
Many instructors in subjects such as economics are frequently concerned with how to teach technical material to undergraduate students with limited mathematical backgrounds. One method that has proven successful for the authors is to connect theoretically sophisticated material with actual data. This enables students to see how the theory relates…
Descriptors: Economic Progress, Undergraduate Students, Economics Education, Macroeconomics
Zafra, Amelia; Ventura, Sebastian – International Working Group on Educational Data Mining, 2009
The ability to predict a student's performance could be useful in a great number of different ways associated with university-level learning. In this paper, a grammar guided genetic programming algorithm, G3P-MI, has been applied to predict if the student will fail or pass a certain course and identifies activities to promote learning in a…
Descriptors: Foreign Countries, Programming, Academic Achievement, Grades (Scholastic)
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries