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Fakhriyah, Fina; Masfuah, Siti; Hilyana, F. Shoufika – Pegem Journal of Education and Instruction, 2023
Generic skills are fundamental skills needed to complete a job or project that can be grown when students go through the learning process. This study aims to analyze and identify students' general skills in terms of scientific literacy through research-based learning methods in the Science Application course. The research uses a quantitative…
Descriptors: Scientific Literacy, Learning Processes, Student Attitudes, Inferences
Seidouvy, Abdel; Schindler, Maike – Mathematics Education Research Journal, 2020
Collaboration is an increasingly popular topic in mathematics education due to its potential to foster students' learning. The purpose of this article is to draw attention to the semantic philosophical theory of inferentialism and its value for investigating students' collaboration. We suggest that Brandom's inferentialism can serve as a valuable…
Descriptors: Mathematics Education, Cooperative Learning, Semantics, Inferences
Callan, Gregory L.; Cleary, Timothy J. – Metacognition and Learning, 2019
The current study used microanalytic interviews and behavioral traces to examine sequential phase relations among forethought, performance, and self-reflection processes, and to investigate the predictive influence of these processes on mathematics performance of 96 eighth grade students. Consistent with expectations, students' microanlaytic goals…
Descriptors: Prediction, Learning Processes, Metacognition, Learning Strategies
Schermer, Maike; Fosker, Tim – International Journal of Research & Method in Education, 2020
Arguably one of the most valuable tools for investigating pupil behaviour in an educational environment is systematic classroom observation. Classroom observation is often cited as having the potential to enable research of the learning process in action. Low inference classroom observation instruments are designed to record a sequence of data…
Descriptors: Classroom Observation Techniques, Learning Processes, Intervals, Individual Differences
Crawford, Angela R. – Investigations in Mathematics Learning, 2022
Learning trajectories are built upon progressions of mathematical understandings that are typical of the general population of students. As such, they are useful frameworks for exploring how understandings of diverse learners may be similar or different from their peers, which has implications for tailoring instruction. The purpose of this…
Descriptors: Learning Trajectories, Mathematics Instruction, Student Diversity, Guidelines
Watts, Mike – Early Child Development and Care, 2021
Fredrich Froebel was a scientist, both in instinct and in training, and his life coincided with an important and dynamic period of scientific growth. I take this opportunity to delve both into some history and futurology to examine the heritage and legacy of his work. The usual of interpolation is of reading into data: where there exist some…
Descriptors: Scientists, History, Futures (of Society), Scientific Research
Khajah, Mohammad; Lindsey, Robert V.; Mozer, Michael C. – International Educational Data Mining Society, 2016
In theoretical cognitive science, there is a tension between highly structured models whose parameters have a direct psychological interpretation and highly complex, general-purpose models whose parameters and representations are difficult to interpret. The former typically provide more insight into cognition but the latter often perform better.…
Descriptors: Bayesian Statistics, Data Analysis, Prediction, Intelligent Tutoring Systems
Meyer, Michael – North American Chapter of the International Group for the Psychology of Mathematics Education, 2014
This paper focuses on an inferential view on introducing new concepts in mathematics classrooms. A theoretical framework is presented which helps to analyse and reflect on the processes of teaching and learning mathematical concepts. The framework is based on the philosophies by Ludwig Wittgenstein and Robert Brandom. Wittgenstein's language-game…
Descriptors: Inferences, Mathematical Concepts, Concept Formation, Teaching Methods
Connor, Carol McDonald; Kaya, Sibel; Luck, Melissa; Toste, Jessica R.; Canto, Angela; Rice, Diana; Tani, Novell; Underwood, Phyllis S. – Reading Teacher, 2010
This study describes a second-grade science curriculum designed to individualize student instruction (ISI-Science) so that students, regardless of initial science and literacy skills, gain science knowledge and reading skills. ISI-Science relies on the 5-E Learning Cycle as a framework and incorporates flexible, homogeneous, literacy skills-based…
Descriptors: Comprehension, Content Area Reading, Learning Processes, Literacy
Briggs, Derek C. – Partnership for Assessment of Readiness for College and Careers, 2011
There is often confusion about distinctions between growth models and value-added models. The first half of this paper attempts to dispel some of these confusions by clarifying terminology and illustrating by example how the results from a large-scale assessment can and will be used to make inferences about student growth and the value-added…
Descriptors: Value Added Models, Language Usage, Measurement, Inferences
Morrison, Judith A.; Young, Terrell A. – Childhood Education, 2008
Students can imitate scientists at work by conducting inquiry investigations in the classroom, thereby exhibiting a multitude of skills and competencies. As stated by Bransford and Donovan (2005), learning science as a process of inquiry involves students in observation, imagination, and reasoning about the phenomena under investigation. Rather…
Descriptors: Investigations, Creative Thinking, Inferences, Science Instruction
Baschera, Gian-Marco; Gross, Markus – International Journal of Artificial Intelligence in Education, 2010
We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…
Descriptors: Foreign Countries, Spelling, Intelligent Tutoring Systems, Prediction
Beishuizen, Jos; Wilhelm, Pascal; Schimmel, Marieke – Computers and Education, 2004
Inquiry learning requires the ability to understand that theory and evidence have to be distinguished and co-ordinated. Moreover, learners have to be able to control two or more independent variables when formulating hypotheses, designing experiments and interpreting outcomes. Can sixth-grade (9-10 years) children be trained to acquire these…
Descriptors: Inquiry, Learning Strategies, Predictor Variables, Computer Simulation