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Nargiza Mikhridinova; Carsten Wolff; Wim Van Petegem – Education and Information Technologies, 2024
An individual competence is one of the main human resources, which enables a person to operate in everyday life. A competence profile, formally captured and described as a structured model, may enable various operations, e.g., a more precise evaluation and closure of a training gap. Such application scenarios supported by information systems are…
Descriptors: Taxonomy, Competence, Models, Profiles
Adam N. Glynn; Miguel R. Rueda; Julian Schuessler – Sociological Methods & Research, 2024
Post-instrument covariates are often included as controls in instrumental variable (IV) analyses to address a violation of the exclusion restriction. However, we show that such analyses are subject to biases unless strong assumptions hold. Using linear constant-effects models, we present asymptotic bias formulas for three estimators (with and…
Descriptors: Causal Models, Statistical Inference, Error of Measurement, Least Squares Statistics
Fabricio Trujillo; Marcelo Pozo; Gabriela Suntaxi – Journal of Technology and Science Education, 2025
This paper presents a systematic literature review of using Machine Learning (ML) techniques in higher education career recommendation. Despite the growing interest in leveraging Artificial Intelligence (AI) for personalized academic guidance, no previous reviews have synthesized the diverse methodologies in this field. Following the Kitchenham…
Descriptors: Artificial Intelligence, Higher Education, Career Guidance, Models
Jiying Han; Yahui Wang – Educational Psychology Review, 2024
This is a systematic review of empirical studies on graduate students' research motivation, a key factor for improving their research performance. A total of 57 articles and conference papers between 1993 and 2023 were identified through the thorough search process and quality assessment, and their research categories and themes, theories, and…
Descriptors: Graduate Students, Student Motivation, Models, Student Research
Matthew Forte; Elizabeth Tipton – Society for Research on Educational Effectiveness, 2024
Background/Context: Over the past twenty plus years, the What Works Clearinghouse (WWC) has reviewed over 1,700 studies, cataloging effect sizes for 189 interventions. Some 56% of these interventions include results from multiple, independent studies; on average, these include results of [approximately]3 studies, though some include as many as 32…
Descriptors: Meta Analysis, Sampling, Effect Size, Models
Sigit Permansah; Abdul Rahman; Dede Rusmana; Cicilia Dyah Sulistyaningrum Indrawati – Journal of Education and Learning (EduLearn), 2025
Despite the abundance of literature discussing Kuhnian views, it is rare to find studies that comprehensively compare the arguments of Kuhnian supporters and skeptics. This study aims to fill the gap by providing a comparative review and synthesis between the two groups of views using the systematic literature review (SLR) analysis technique. The…
Descriptors: Philosophy, Science Education, Scientific Concepts, Scientific Attitudes
Sánchez-Miguel P. A.; Álvarez-Sánchez J. L.; Hortigüela-Alcalá D.; Pérez-Pueyo A.; Tapia-Serrano M. A. – Quest, 2025
This study aimed to show a quantitative synthesis on the effect of the Teaching Personal and Social Responsibility Model (TPSR) on personal and social responsibility within physical education (PE) context. To achieve this, a systematic review and meta-analysis on experimental studies was developed. The initial search yielded 874 articles, with 6…
Descriptors: Physical Education, Social Responsibility, Effect Size, Models
Razieh Safarifard; Masoud Gholamali Lavasani; Elaheh Hejazi; Fatemeh Narenji Thani – Knowledge Management & E-Learning, 2024
The pedagogy aspect of education has been the key factor influencing the effectiveness and quality of e-learning platforms. However, there is a lack of systematic review with an emphasis on the pedagogical aspect when it comes to e-learning in higher education. This research aims to systematically review seven major databases to identify the…
Descriptors: Electronic Learning, Higher Education, Journal Articles, Constructivism (Learning)
Aslihan Batur Ozturk; Adnan Baki – Pedagogical Research, 2024
Since it has become necessary for each individual to be statistically literate, statistical education research has taken teachers' competencies into its agenda. The knowledge needed to teach statistics differs from the knowledge needed to teach mathematics since statistics is different from mathematics. Teachers and researchers need to consider…
Descriptors: Statistics Education, Teaching Models, Pedagogical Content Knowledge, Teacher Education
Jinfa Cai; Benjamin Rott – ZDM: Mathematics Education, 2024
Problem posing engages students in generating new problems based on given situations (including mathematical expressions or diagrams) or changing (i.e., reformulating) existing problems. Problem posing has been at the forefront of discussion over the past few decades. One of the important topics studied is the process of problem posing as…
Descriptors: Mathematics Instruction, Teaching Methods, Problem Solving, Models
Nedim Özdemir; Sedat Gümüs; Ali Çagatay Kilinç; Mehmet Sükrü Bellibas – Educational Management Administration & Leadership, 2024
This systematic review sought to expand our knowledge of the increasing research studies focusing on the empirical link between school leadership and student achievement. Using five different data sources (Scopus, WoS, ERIC, Google Scholar, and Retrospective Reference Harvesting Procedure), we created a data set of 144 journal articles.…
Descriptors: Instructional Leadership, Academic Achievement, Models, Mediation Theory
Michal Shimonovich; Hilary Thomson; Anna Pearce; Srinivasa Vittal Katikireddi – Research Synthesis Methods, 2024
Background: Bradford Hill (BH) viewpoints are widely used to assess causality in systematic reviews, but their application has often lacked reproducibility. We describe an approach for assessing causality within systematic reviews ('causal' reviews), illustrating its application to the topic of income inequality and health. Our approach draws on…
Descriptors: Causal Models, Literature Reviews, Evaluation, Criteria
Ringelstein, Damian; Patel, Kumar – e-Journal of Business Education and Scholarship of Teaching, 2023
The purpose of this paper was to briefly address the need for a conceptual framework for informatics and develop a preliminary conceptual framework. The review of the literature on informatics and the approaches to a conceptual framework tend to be linked to discussion concerning designing curriculum rather than attaining a better understanding of…
Descriptors: Information Science, Models, Curriculum Development, Concept Formation
Safa Ridha Albo Abdullah; Ahmed Al-Azawei – International Review of Research in Open and Distributed Learning, 2025
This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…
Descriptors: Electronic Learning, Academic Achievement, Grade Prediction, Data Analysis
Akif Avcu – Malaysian Online Journal of Educational Technology, 2025
This scope-review presents the milestones of how Hierarchical Rater Models (HRMs) become operable to used in automated essay scoring (AES) to improve instructional evaluation. Although essay evaluations--a useful instrument for evaluating higher-order cognitive abilities--have always depended on human raters, concerns regarding rater bias,…
Descriptors: Automation, Scoring, Models, Educational Assessment