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Norah Alsharidi – Journal of Education and Learning, 2025
Educational research enquiries differ based on philosophical beliefs and assumptions regarding researchers' explicitly stated views. This paper critically explores the most dominant philosophical stances in social research sciences, namely positivism, interpretivism and pragmatism. It begins with an overview of the role of the aforementioned…
Descriptors: Educational Research, Social Science Research, Philosophy, Beliefs
Andrew P. Jaciw – American Journal of Evaluation, 2025
By design, randomized experiments (XPs) rule out bias from confounded selection of participants into conditions. Quasi-experiments (QEs) are often considered second-best because they do not share this benefit. However, when results from XPs are used to generalize causal impacts, the benefit from unconfounded selection into conditions may be offset…
Descriptors: Elementary School Students, Elementary School Teachers, Generalization, Test Bias
Campese, Vinn D.; Kim, Ian T.; Kurpas, Botagoz; Branigan, Lauren; Draus, Cassandra; LeDoux, Joseph E. – Learning & Memory, 2020
While interest in active avoidance has recently been resurgent, many concerns relating to the nature of this form of learning remain unresolved. By separating stimulus and response acquisition, aversive Pavlovian-instrumental transfer can be used to measure the effect of avoidance learning on threat processing with more control than typical…
Descriptors: Motivation, Fear, Learning, Transfer of Training
Lovibond, Peter F.; Lee, Jessica C.; Hayes, Brett K. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Generalization of learning can arise from 2 distinct sources: failure to discriminate a novel test stimulus from the trained stimulus and active extrapolation from the trained stimulus to the test stimulus despite them being discriminable. We investigated these 2 processes in a predictive learning task by testing stimulus discriminability…
Descriptors: Stimuli, Discrimination Learning, Perception, Generalization
Johnson, Tamar; Siegelman, Noam; Arnon, Inbal – Cognitive Science, 2020
Over the last decade, iterated learning studies have provided compelling evidence for the claim that linguistic structure can emerge from non-structured input, through the process of transmission. However, it is unclear whether individuals differ in their tendency to add structure, an issue with implications for understanding who are the agents of…
Descriptors: Individual Differences, Cognitive Ability, Learning Processes, Language Acquisition
Kalkstein, David A.; Bosch, David A.; Kleiman, Tali – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
In five experiments, we established and explored the contrast diversity effect--the effect of diversity of negative evidence on inductive inferences drawn from a single observation of a target exemplar. In Experiments 1 through 3, we show that increasing the diversity of negative evidence in a contrasting category led people to infer that a target…
Descriptors: Inferences, Logical Thinking, Differences, Evidence
Rodgers, Wendy J.; Morris-Mathews, Hannah; Romig, John Elwood; Bettini, Elizabeth – Review of Educational Research, 2022
Classroom observation research plays an important role in policy, practice, and scholarship for students with disabilities. When interpreting results of observation studies, it is important to consider the validity evidence provided by researchers and how that speaks to the intended use of those results. In this literature synthesis, we used…
Descriptors: Special Education, Validity, Classroom Research, Students with Disabilities
MD, Soumya; Krishnamoorthy, Shivsubramani – Education and Information Technologies, 2022
In recent times, Educational Data Mining and Learning Analytics have been abundantly used to model decision-making to improve teaching/learning ecosystems. However, the adaptation of student models in different domains/courses needs a balance between the generalization and context specificity to reduce the redundancy in creating domain-specific…
Descriptors: Predictor Variables, Academic Achievement, Higher Education, Learning Analytics
Zhang, Mengxue; Baral, Sami; Heffernan, Neil; Lan, Andrew – International Educational Data Mining Society, 2022
Automatic short answer grading is an important research direction in the exploration of how to use artificial intelligence (AI)-based tools to improve education. Current state-of-the-art approaches use neural language models to create vectorized representations of students responses, followed by classifiers to predict the score. However, these…
Descriptors: Grading, Mathematics Instruction, Artificial Intelligence, Form Classes (Languages)
Darwazeh, Afnan N.; Branch, Robert M.; Karram, Omar I.; Hmoud, Mohammed R. – Quarterly Review of Distance Education, 2022
This article aims to propose a digital version of Darwazeh's learning taxonomy. The DLT consists of 10 cognitive processes sequenced hierarchical from simple to complex either vertically from one mental process to another, or horizontally in each mental process. These cognitive processes are facts' remembrance, generalities' remembrance,…
Descriptors: Electronic Learning, Taxonomy, Cognitive Processes, Recall (Psychology)
Çakiroglu, Ünal; Çevik, Isak – Education and Information Technologies, 2022
In order to teach Computational Thinking (CT) skills to young students, Block-Based Programming Environments (BBPEs) are integrated into secondary school computer science (CS) education curricula. As a CT skill, abstraction is one of the prominent skills, which is difficult to enhance and measure. Researchers developed some scales for measuring…
Descriptors: Computation, Thinking Skills, Computer Science Education, Programming
Tillema, Erik S.; Burch, Lori J. – ZDM: Mathematics Education, 2022
This paper presents data from the first of three iterations of teaching experiments conducted with secondary teachers. The purpose of the experiments was to investigate how teachers' combinatorial reasoning could support their development of algebraic structure, specifically structural relationships between the roots and coefficients of…
Descriptors: Secondary School Students, Algebra, Mathematics Instruction, Generalization
Wendy Chan; Jimin Oh; Katherine Wilson – Society for Research on Educational Effectiveness, 2022
Background: Over the past decade, research on the development and assessment of tools to improve the generalizability of experimental findings has grown extensively (Tipton & Olsen, 2018). However, many experimental studies in education are based on small samples, which may include 30-70 schools while inference populations to which…
Descriptors: Educational Research, Research Problems, Sample Size, Research Methodology
Kinney, Satkartar K.; Cooney, Darryl A. – New Directions for Institutional Research, 2019
Nonresponse is an increasing problem in sample surveys and student surveys are no exception. When nonrespondents differ from respondents in meaningful ways, respondents may not be representative of the population. Hence, analyses of survey data may be biased and not generalizable to the population. In this chapter we provide an overview of…
Descriptors: Student Surveys, Data Analysis, Generalization, Responses
Olsher, Shai; Lavie, Irit – International Journal of Mathematical Education in Science and Technology, 2023
Generalization is considered to be an essential part of mathematical reasoning and proving, and it has many definitions in mathematics education research. Despite its centrality, teachers often have difficulty identifying and responding to generalization in students' work. In this study, we focus on preservice teacher's (PTs) ability to describe…
Descriptors: Generalization, Mathematics Skills, Preservice Teachers, Elementary School Mathematics