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Lu, Xiaoli; Kaiser, Gabriele – Educational Studies in Mathematics, 2022
Modelling competencies are currently included in numerous curricula worldwide and are generally accepted as a complex, process-oriented construct. Therefore, effective measurement should include multiple dimensions, like the sub-competencies required throughout the modelling process. Departing from the characteristics of modelling problems as open…
Descriptors: Mathematical Models, Mathematics Skills, Creativity, Problem Solving
Jordan M. Wheeler; Allan S. Cohen; Shiyu Wang – Journal of Educational and Behavioral Statistics, 2024
Topic models are mathematical and statistical models used to analyze textual data. The objective of topic models is to gain information about the latent semantic space of a set of related textual data. The semantic space of a set of textual data contains the relationship between documents and words and how they are used. Topic models are becoming…
Descriptors: Semantics, Educational Assessment, Evaluators, Reliability
Baioa, Ana Margarida; Carreira, Susana – Mathematical Thinking and Learning: An International Journal, 2023
The aim of this study is to understand how students' mathematical thinking is activated and nurtured in solving a modeling problem, where the problem situation involves the design of a system. From a STEM integrated perspective, 9th grade students worked on a modeling task aiming to create an identification system based on hand biometrics. The…
Descriptors: Mathematical Models, Mathematics Skills, Thinking Skills, Problem Solving
Haberman, Shelby J. – ETS Research Report Series, 2020
Best linear prediction (BLP) and penalized best linear prediction (PBLP) are techniques for combining sources of information to produce task scores, section scores, and composite test scores. The report examines issues to consider in operational implementation of BLP and PBLP in testing programs administered by ETS [Educational Testing Service].
Descriptors: Prediction, Scores, Tests, Testing Programs
Gibbons, Alanna; Lyublinskaya, Irina – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
Existing studies have defined and assessed disciplinary literacy, mathematical literacy, and general academic language. However, there is a need to define and assess mathematics discipline-specific language (MDL), particularly for elementary school teachers. Therefore, the purpose of this study was to develop a research instrument to assess the…
Descriptors: Mathematics Instruction, Mathematics Skills, Academic Language, Elementary School Students
Dorozhkin, Evgenij M.; Chelyshkova, Marina B.; Malygin, Alexey A.; Toymentseva, Irina A.; Anopchenko, Tatiana Y. – International Journal of Environmental and Science Education, 2016
The relevance of the investigated problem is determined by the need to improving the evaluation procedures in education and the student assessment in the age of the context of education widening, new modes of study developing (such as blending learning, e-learning, massive open online courses), immediate feedback necessity, reliable and valid…
Descriptors: Student Evaluation, Evaluation Methods, Item Response Theory, Mathematical Models
Silkina, Galina Iu.; Bakanova, Svetlana A. – International Journal of Environmental and Science Education, 2016
The article considers the mathematical models of the growth and accumulation of scientific and applied knowledge since it is seen as the main potential and key competence of modern companies. The problem is examined on two levels--the growth and evolution of objective knowledge and knowledge evolution of a particular individual. Both processes are…
Descriptors: Growth Models, Mathematical Models, Individual Development, Knowledge Economy
Downs, Nathan; Parisi, Alfio V.; Galligan, Linda; Turner, Joanna; Amar, Abdurazaq; King, Rachel; Ultra, Filipina; Butler, Harry – International Journal of Research in Education and Science, 2016
A short series of practical classroom mathematics activities employing the use of a large and publicly accessible scientific data set are presented for use by students in years 9 and 10. The activities introduce and build understanding of integral calculus and trigonometric functions through the presentation of practical problem solving that…
Descriptors: Mathematics Activities, Calculus, Trigonometry, Problem Solving
Rollinson, Joseph; Brunskill, Emma – International Educational Data Mining Society, 2015
At their core, Intelligent Tutoring Systems consist of a student model and a policy. The student model captures the state of the student and the policy uses the student model to individualize instruction. Policies require different properties from the student model. For example, a mastery threshold policy requires the student model to have a way…
Descriptors: Prediction, Models, Educational Policy, Intelligent Tutoring Systems
Yanik, H. Bahadir; Kurz, Terri L.; Memis, Yasin – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2014
The purpose of this investigation is to describe an implementation of a modeling task using mock data from an ancient archeological find. Students discover the relationship between the height of a person and his or her stride length. Qualitative data from student discussions document thinking and reasoning.
Descriptors: Investigations, Program Descriptions, Program Implementation, Task Analysis
Farovik, Anja; Dupont, Laura M.; Eichenbaum, Howard – Learning & Memory, 2010
Previous studies have suggested that dorsal hippocampal areas CA3 and CA1 are both involved in representing sequences of events that compose unique episodes. However, it is uncertain whether the contribution of CA3 is restricted to spatial information, and it is unclear whether CA1 encodes order per se or contributes by an active maintenance of…
Descriptors: Statistical Bias, Intervals, Mathematical Models, Memory
Pavlik, Philip I., Jr.; Yudelson, Michael; Koedinger, Kenneth R. – Society for Research on Educational Effectiveness, 2011
The objective of this research was to better understand the transfer of learning between different variations of pre-algebra problems. While the authors could have addressed a specific variation that might address transfer, they were interested in developing a general model of transfer, so we gathered data from multiple problem types and their…
Descriptors: Transfer of Training, Item Analysis, Educational Technology, Algebra
Grabe, Esther; Kochanski, Greg; Coleman, John – Language and Speech, 2007
The mathematical models of intonation used in speech technology are often inaccessible to linguists. By the same token, phonological descriptions of intonation are rarely used by speech technologists, as they cannot be implemented directly in applications. Consequently, these research communities do not benefit much from each other's insights. In…
Descriptors: Sentences, Intonation, Phonology, Mathematical Models
Bulcock, J. W.; And Others – 1980
Multicollinearity refers to the presence of highly intercorrelated independent variables in structural equation models, that is, models estimated by using techniques such as least squares regression and maximum likelihood. There is a problem of multicollinearity in both the natural and social sciences where theory formulation and estimation is in…
Descriptors: Comparative Analysis, Mathematical Models, Measurement Techniques, Theories
Moonan, William J. – 1975
The purposes of the paper were to develop a structure by which assessment models could be uniquely characterized and to develop assessment models and their associated computer programs which could be used for personnel research purposes. To these ends two aspects of assessment, measurement and evaluation, were identified. Their distinction was…
Descriptors: Computer Programs, Mathematical Models, Measurement Techniques, Personnel Evaluation