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Muradoglu, Melis; Cimpian, Joseph R.; Cimpian, Andrei – Journal of Cognition and Development, 2023
Mixed-effects models are an analytic technique for modeling repeated measurement or nested data. This paper explains the logic of mixed-effects modeling and describes two examples of mixed-effects analyses using R. The intended audience of the paper is psychologists who specialize in cognitive development research. Therefore, the concepts and…
Descriptors: Cognitive Development, Models, Programming Languages, Psychologists
Melina Verger; Chunyang Fan; Sébastien Lallé; François Bouchet; Vanda Luengo – Journal of Educational Data Mining, 2024
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…
Descriptors: Algorithms, Prediction, Bias, Classification
Satratzemi, Maya; Stelios, Xinogalos; Tsompanoudi, Despina – Journal of Educational Computing Research, 2023
This paper presents a Systematic Literature Review (SLR) of fifty-seven studies on Distributed Pair Programming (DPP) in higher education, identifying which studies investigated factors on the effectiveness of DPP as a method for learning programming, factors related to mediating and stimulating interactions between students, the…
Descriptors: Programming, Teamwork, Higher Education, Instructional Effectiveness
W. Jake Thompson – Grantee Submission, 2023
In educational and psychological research, we are often interested in discrete latent states of individuals responding to an assessment (e.g., proficiency or non-proficiency on educational standards, the presence or absence of a psychological disorder). Diagnostic classification models (DCMs; also called cognitive diagnostic models [CDMs]) are a…
Descriptors: Bayesian Statistics, Measurement, Psychometrics, Educational Research
Welch, Lise E.; Shumway, Jessica F.; Clarke-Midura, Jody; Lee, Victor R. – Education Sciences, 2022
Programming activities have the potential to provide a rich context for exploring measurement units in early elementary mathematics. This study examines how a small group of young children (ages 5-6) express their emergent conception of a dynamic linear unit and the measurement concepts they found challenging. Video of an introductory programming…
Descriptors: Coding, Programming, Robotics, Measurement
Karaahmetoglu, Kübra; Korkmaz, Özgen – Online Submission, 2019
The aim of this study is to investigate the effects of project-based Arduino educational robot applications on students' computational thinking skills and their perception of STEM skill levels. The study group consists of 6th grade students from 2 different secondary schools from Turkey. Within the scope of the research, classes were assigned to…
Descriptors: Robotics, Thinking Skills, Programming, Student Projects
Akar, Sacide Guzin Mazman; Altun, Arif – Contemporary Educational Technology, 2017
The purpose of this study is to investigate and conceptualize the ranks of importance of social cognitive variables on university students' computer programming performances. Spatial ability, working memory, self-efficacy, gender, prior knowledge and the universities students attend were taken as variables to be analyzed. The study has been…
Descriptors: Individual Differences, Learning Processes, Programming, Self Efficacy
Stohlmann, Micah S. – European Journal of STEM Education, 2017
Internationally mathematical modeling is garnering more attention for the benefits associated with it. Mathematical modeling can develop students' communication skills and the ability to demonstrate understanding through different representations. With the increased attention on mathematical modeling, there is a need for more curricula to be…
Descriptors: Middle School Students, Secondary School Mathematics, Mathematics Instruction, Mathematical Models
Woods, Carol M. – Applied Psychological Measurement, 2009
Differential item functioning (DIF) occurs when an item on a test or questionnaire has different measurement properties for one group of people versus another, irrespective of mean differences on the construct. There are many methods available for DIF assessment. The present article is focused on indices of partial association. A family of average…
Descriptors: Test Bias, Measurement, Correlation, Methods
D'Epifanio, Giulio – Social Indicators Research, 2009
The methodological question concerns constructing a cardinal social index, in order to assess performances of social agents, taking into account implicit political judgments. Based on the formal structure of a Choquet's expected utility, index construction demands quantification of levels of a meaningful ordinal indicator of overall performance.…
Descriptors: Scaling, Programming, Politics, Political Attitudes
Vallance, Michael; Martin, Stewart; Wiz, Charles; van Schaik, Paul – International Journal of Virtual and Personal Learning Environments, 2010
Science education is concerned with the meaningful pursuit of comprehension, knowledge and understanding of scientific concepts and processes. In Vygotskian social constructivist learning, personal interpretation, decision-making and community cooperation fosters long-term understanding and transference of learned concepts. The construction of…
Descriptors: Instructional Design, Science Instruction, Science Education, Computer Simulation

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