Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 22 |
Descriptor
Error Patterns | 45 |
Models | 37 |
Prediction | 8 |
Statistical Analysis | 8 |
Higher Education | 7 |
Research Methodology | 7 |
Cognitive Processes | 6 |
Computation | 6 |
Financial Aid Applicants | 6 |
Student Financial Aid | 6 |
Evaluation Criteria | 5 |
More ▼ |
Source
Author
Publication Type
Reports - Descriptive | 45 |
Journal Articles | 33 |
Speeches/Meeting Papers | 5 |
Information Analyses | 4 |
Numerical/Quantitative Data | 2 |
Opinion Papers | 2 |
Education Level
Higher Education | 6 |
Postsecondary Education | 2 |
Elementary Education | 1 |
Elementary Secondary Education | 1 |
Grade 3 | 1 |
High Schools | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Researchers | 3 |
Policymakers | 2 |
Teachers | 2 |
Practitioners | 1 |
Location
Australia | 1 |
Laws, Policies, & Programs
Pell Grant Program | 3 |
Basic Educational Opportunity… | 2 |
Assessments and Surveys
What Works Clearinghouse Rating
Sideridis, Georgios D.; Jaffari, Fathima – Measurement and Evaluation in Counseling and Development, 2022
The present study describes an R function that implements six corrective procedures developed by Bartlett, Swain, and Yuan in the correction of 21 statistics associated with the omnibus Chi-square test, the residuals, or fit indices in confirmatory factor analysis (CFA) and structural equation modeling (SEM).
Descriptors: Statistical Analysis, Goodness of Fit, Factor Analysis, Structural Equation Models
Martin, Tim; Frisch, Kayt; Zwart, John – Physics Teacher, 2020
Video analysis helps students to connect physical, mathematical, and graphical models with the phenomena that the models represent and improves student kinematic graph interpretation skills. The wide-spread availability of easy to use software packages like Logger Pro (Vernier), Capstone (PASCO), and Tracker have led to many introductory physics…
Descriptors: Video Technology, Science Instruction, Educational Technology, Technology Uses in Education
Miao, Dezhuang; Dong, Yu; Lu, Xuesong – International Educational Data Mining Society, 2020
In colleges, programming is increasingly becoming a general education course of almost all STEM majors as well as some art majors, resulting in an emerging demand for scalable programming education. To support scalable education, teaching activities such as grading and feedback have to be automated. Recently, online judge systems have been…
Descriptors: Programming, Prediction, Error Patterns, Models
Vlaardingerbroek, Barend – School Science Review, 2020
The logos of many atomic energy regulatory bodies present a paradox in that the depictions of atomic structure that they portray tend to be 'wrong' in relation to the rules that govern pictorial representations of atomic structure that we teach. These logos present chemistry educators with excellent classroom resources to enhance critical thinking…
Descriptors: Nuclear Energy, Models, Science Instruction, Critical Thinking
Ohlsson, Stellan – International Journal of Artificial Intelligence in Education, 2016
The ideas behind the constraint-based modeling (CBM) approach to the design of intelligent tutoring systems (ITSs) grew out of attempts in the 1980's to clarify how declarative and procedural knowledge interact during skill acquisition. The learning theory that underpins CBM was based on two conceptual innovations. The first innovation was to…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Learning Theories
Goldhaber, Dan; Chaplin, Duncan – Mathematica Policy Research, Inc., 2012
In a provocative and influential paper, Jesse Rothstein (2010) finds that standard value-added models (VAMs) suggest implausible future teacher effects on past student achievement, a finding that obviously cannot be viewed as causal. This is the basis of a falsification test (the Rothstein falsification test) that appears to indicate bias in VAM…
Descriptors: Value Added Models, Academic Achievement, Teacher Effectiveness, Correlation
Morley, Patricia; Zmood, Simone – Mathematics Education Research Group of Australasia, 2015
Participation in society is increasingly dependent on educational achievement. Accordingly, society as a whole is committing more resources to education to prevent the adverse outcome of students moving through the school system only to emerge without the knowledge and skills that they might be expected to attain. In this paper, we explore the…
Descriptors: Mathematics Education, Educational Practices, Models, Mathematics Curriculum
Tulis, Maria; Steuer, Gabriele; Dresel, Markus – Frontline Learning Research, 2016
Errors bear the potential to improve knowledge acquisition, provided that learners are able to deal with them in an adaptive and reflexive manner. However, learners experience a host of different--often impeding or maladaptive--emotional and motivational states in the face of academic errors. Research has made few attempts to develop a theory that…
Descriptors: Error Patterns, Metacognition, Learning Processes, Learning Motivation
Gates, Joshua – Physics Teacher, 2011
Early in their study of one-dimensional kinematics, my students build an algebraic model that describes the effects of a rolling ball's (perpendicular) collision with a wall. The goal is for the model to predict the ball's velocity when it returns to a fixed point approximately 50-100 cm from the wall as a function of its velocity as it passes…
Descriptors: Video Technology, Motion, Error Patterns, Models
Gropper, George L. – Educational Technology, 2015
Instructional design can be more effective if it is as fixedly dedicated to the accommodation of individual differences as it currently is to the accommodation of subject matters. That is the hypothesis. A menu of accommodation options is provided that is applicable at each of three stages of instructional development or administration: before,…
Descriptors: Instructional Design, Individual Differences, Student Needs, Remedial Instruction
Powers, Daniel A. – New Directions for Institutional Research, 2012
The methods and models for categorical data analysis cover considerable ground, ranging from regression-type models for binary and binomial data, count data, to ordered and unordered polytomous variables, as well as regression models that mix qualitative and continuous data. This article focuses on methods for binary or binomial data, which are…
Descriptors: Institutional Research, Educational Research, Data Analysis, Research Methodology
Lian, Lim Hooi; Yew, Wun Thiam – International Education Studies, 2012
Algebraic solving ability had been discussed by many educators and researchers. There exists no definite definition for algebraic solving ability as it can be viewed from different perspectives. In this paper, the nature of algebraic solving ability in terms of algebraic processes that demonstrate the ability in solving algebraic problem is…
Descriptors: Algebra, Mathematics Skills, Problem Solving, Evaluation Methods
Wainer, Howard – Journal of Educational and Behavioral Statistics, 2010
In this essay, the author tries to look forward into the 21st century to divine three things: (i) What skills will researchers in the future need to solve the most pressing problems? (ii) What are some of the most likely candidates to be those problems? and (iii) What are some current areas of research that seem mined out and should not distract…
Descriptors: Research Skills, Researchers, Internet, Access to Information
Soto, Fabian A.; Wasserman, Edward A. – Psychological Review, 2010
A wealth of empirical evidence has now accumulated concerning animals' categorizing photographs of real-world objects. Although these complex stimuli have the advantage of fostering rapid category learning, they are difficult to manipulate experimentally and to represent in formal models of behavior. We present a solution to the representation…
Descriptors: Animals, Classification, Photography, Visual Stimuli
Le, Nguyen-Thinh; Menzel, Wolfgang – International Journal of Artificial Intelligence in Education, 2009
In this paper, we introduce logic programming as a domain that exhibits some characteristics of being ill-defined. In order to diagnose student errors in such a domain, we need a means to hypothesise the student's intention, that is the strategy underlying her solution. This is achieved by weighting constraints, so that hypotheses about solution…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Programming, Models