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Sokolowski, Andrzej – Australian Senior Mathematics Journal, 2013
This paper presents a study about using scientific simulations to enhance the process of mathematical modelling. The main component of the study is a lesson whose major objective is to have students mathematise a trajectory of a projected object and then apply the model to formulate other trajectories by using the properties of function…
Descriptors: Mathematics, Mathematics Instruction, Mathematical Models, Simulation
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Edo, Sri Imelda; Hartono, Yusuf; Putri, Ratu Ilma Indra – Indonesian Mathematical Society Journal on Mathematics Education, 2013
The chart of Indonesian student of mathematical ability development in Program for International Student Assessment (PISA) event during the last 4 periods shows an unstable movement. PISA aims to examine the ability of children aged 15 years in reading literacy, mathematics literacy, and science literacy. The concept of mathematical literacy is…
Descriptors: Foreign Countries, Secondary School Students, Secondary School Mathematics, Mathematics Instruction
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Zhang, Jianfeng – English Language Teaching, 2013
Autonomous inquiry learning is a kind of learning model, which relies mainly on learners and emphasizes that learners should inquire knowledge actively; moreover, ESP, which emphasizes the combination of language learning and specific purposes learning, is a goal-oriented and well targeted instruction system. Therefore, ESP and autonomous inquiry…
Descriptors: Foreign Countries, English for Special Purposes, Second Language Learning, English (Second Language)
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Hidiroglu, Çaglar Naci; Bukova Güzel, Esra – Educational Sciences: Theory and Practice, 2013
The aim of the present study is to conceptualize the approaches displayed for validation of model and thought processes provided in mathematical modeling process performed in technology-aided learning environment. The participants of this grounded theory study were nineteen secondary school mathematics student teachers. The data gathered from the…
Descriptors: Mathematical Models, Cognitive Processes, Technology Uses in Education, Validity
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Norstrom, Per – International Journal of Technology and Design Education, 2013
Engineers commonly use rules, theories and models that lack scientific justification. Examples include rules of thumb based on experience, but also models based on obsolete science or folk theories. Centrifugal forces, heat and cold as substances, and sucking vacuum all belong to the latter group. These models contradict scientific knowledge, but…
Descriptors: Science Education, Teaching Methods, Technology Education, Intellectual Disciplines
Sarkar, Saurabh – ProQuest LLC, 2013
In the modern world information has become the new power. An increasing amount of efforts are being made to gather data, resources being allocated, time being invested and tools being developed. Data collection is no longer a myth; however, it remains a great challenge to create value out of the enormous data that is being collected. Data modeling…
Descriptors: Data Analysis, Data Collection, Error of Measurement, Research Problems
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Gorman, Patrick S.; Kunkel, Jeffrey D.; Vasko, Francis J. – International Journal of Mathematical Education in Science and Technology, 2011
A standard example used in introductory combinatoric courses is to count the number of five-card poker hands possible from a straight deck of 52 distinct cards. A more interesting problem is to count the number of distinct hands possible from a Pinochle deck in which there are multiple, but obviously limited, copies of each type of card (two…
Descriptors: Mathematical Formulas, Games, Recreational Activities, Computation
Chan, Chun Ming Eric; Ng, Kit Ee Dawn; Widjaja, Wanty; Seto, Cynthia – Journal of Science and Mathematics Education in Southeast Asia, 2012
Mathematical modelling is increasingly becoming part of an instructional approach deemed to develop students with competencies to function as 21st century learners and problem solvers. As mathematical modelling is a relatively new domain in the Singapore primary school mathematics curriculum, many teachers may not be aware of the learning outcomes…
Descriptors: Elementary Schools, Mathematics Curriculum, Foreign Countries, Problem Solving
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Hirsch, Jenna – MathAMATYC Educator, 2012
A facility with signed numbers forms the basis for effective problem solving throughout developmental mathematics. Most developmental mathematics textbooks explain signed number operations using absolute value, a method that involves considering the problem in several cases (same sign, opposite sign), and in the case of subtraction, rewriting the…
Descriptors: Mathematics Education, Number Concepts, Number Systems, Numbers
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Brethower, Dale M. – Performance Improvement Quarterly, 2012
The future of human performance technology (HPT) will be bright or dismal depending on how well HPT practitioners focus on careful and practical answers to three pivotal questions: What is good practice in human performance technology? What are the differences between good practice and bad? What are the connections between good research and…
Descriptors: Performance Technology, Models, Problem Solving, Systems Approach
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Yoder, S. Elizabeth; Kurz, M. Elizabeth – Journal of Education for Business, 2015
Linear programming (LP) is taught in different departments across college campuses with engineering and management curricula. Modeling an LP problem is taught in every linear programming class. As faculty teaching in Engineering and Management departments, the depth to which teachers should expect students to master this particular type of…
Descriptors: Programming, Educational Practices, Engineering, Engineering Education
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Watanabe, Tad – Mathematics Teaching in the Middle School, 2015
The Common Core State Standards for Mathematics (CCSSM) (CCSSI 2010) identifies the strategic use of appropriate tools as one of the mathematical practices and emphasizes the use of pictures and diagrams as reasoning tools. Starting with the early elementary grades, CCSSM discusses students' solving of problems "by drawing." In later…
Descriptors: Foreign Countries, Mathematics Education, Secondary School Mathematics, Middle School Students
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Day, Andrew; Nakata, Vicky; Nakata, Martin; Martin, Gregory – Higher Education Research and Development, 2015
The need to address the substantial inequities that exist between Indigenous and non-Indigenous Australians in higher education is widely recognised. Those factors that affect the performance of Indigenous students in tertiary education have been reasonably well documented across different institutions, disciplines, and programme levels but there…
Descriptors: Academic Persistence, Indigenous Populations, Intervention, At Risk Students
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Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
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