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Ward, Erika L. – PRIMUS, 2020
Homework gives students the opportunity to practice new skills in both familiar and unfamiliar situations, and to develop an understanding of related concepts. Although some of these goals can be easily accomplished in online homework, many systems are less useful for handling open-ended questions. Written homework, on the other hand, takes time…
Descriptors: Homework, Teaching Methods, Feedback (Response), Learner Engagement
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Venkatesh, Anil; Piercey, Victor – PRIMUS, 2021
Quantitative Reasoning for Professionals is a two-semester general education sequence that teaches basic and intermediate algebra through the lens of quantitative reasoning. In this course sequence, we emphasize communication and inference-making while teaching practical algebra skills for students in programs such as business, nursing, and social…
Descriptors: Mathematics Instruction, College Mathematics, Inquiry, Grading
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Zhou, Guojing; Wang, Jianxun; Lynch, Collin F.; Chi, Min – International Educational Data Mining Society, 2017
In this study, we applied decision trees (DT) to extract a compact set of pedagogical decision-making rules from an original "full" set of 3,702 Reinforcement Learning (RL)- induced rules, referred to as the DT-RL rules and Full-RL rules respectively. We then evaluated the effectiveness of the two rule sets against a baseline Random…
Descriptors: Learning Theories, Teaching Methods, Decision Making, Intelligent Tutoring Systems
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Chelminski, Piotr – Journal of Teaching in International Business, 2017
In this article, the author proposes an innovative, exam-based homework grading method to facilitate both collaboration among students and individual accountability while learning a complex theory and applying it to solve a problem. Results from this novel approach to grading a "comparative advantage theory" homework assignment, using an…
Descriptors: Homework, Grading, Evaluation Methods, Student Evaluation
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Harper, Kathleen A. – Physics Teacher, 2012
This article describes a grading approach that encourages students to employ particular problem-solving skills. Some strengths of this method, called "process-based grading," are that it is easy to implement, requires minimal time to grade, and can be used in conjunction with either an online homework delivery system or paper-based homework.
Descriptors: Grading, Homework, Problem Solving, Teaching Methods
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Trawick, Matthew L. – Physics Teacher, 2010
Physics teachers are most effective when their students are active learners who think and participate in every class. This extends beyond the classroom too: ideally, students would tackle challenging questions and exercises after every class--not just before the exam or the night before the weekly homework is due. Just-in-Time-Teaching was…
Descriptors: Feedback (Response), Homework, Grading, Internet
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Greene, Ronald L. – Physics Teacher, 2006
Recent years have seen widespread adoption of automatic grading of physics homework problems. Although first-generation homework management systems provide feedback and assign scores based only on the answers, problem-solving performance on exams seems to be no worse for students using these systems than for those who receive detailed comments…
Descriptors: Grading, Physics, Homework, Feedback (Response)
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Marsh, B. B.; Dell, R. O. – Physics Teacher, 1975
Describes an effective and efficient method to induce students to do physics homework. (CP)
Descriptors: Assignments, College Science, Course Descriptions, Grading
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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
Kim, J.-B.; Cohen, A. S.; Booske, J. H.; Derry, S. J. – 1998
This study compared cooperative learning with individual learning in an introductory college electrical engineering course, using attitudinal and cognitive measures. Cooperative learning activities were implemented in homework assignments in one section of the course, while individual homework assignments were used in two other sections. A total…
Descriptors: Cognitive Processes, College Instruction, College Students, Cooperative Learning
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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Bonham, Scott W.; Deardorff, Duane L.; Beichner, Robert J. – Journal of Research in Science Teaching, 2003
Homework gives students an opportunity to practice important college-level physics skills. A switch to Web-based homework alters the nature of feedback received, potentially changing the pedagogical benefit. Calculus- and algebra-based introductory physics students enrolled in large paired lecture sections at a public university completed homework…
Descriptors: Student Evaluation, Achievement Tests, Internet, Homework
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection