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Knezek, Gerald; Gibson, David; Christensen, Rhonda; Trevisan, Ottavia; Carter, Morgan – British Journal of Educational Technology, 2023
This article reports on a trace-based assessment of approaches to learning used by middle school aged children who interacted with NASA Mars Mission science, technology, engineering and mathematics (STEM) games in "Whyville," an online game environment with 8 million registered young learners. The learning objectives of two games…
Descriptors: Learning Analytics, Nonparametric Statistics, Multidimensional Scaling, STEM Education
Eleni Tomai; Margarita Kokla; Christos Charcharos; Marinos Kavouras – Journal of Geography in Higher Education, 2024
Small-scale spatial abilities that involve the mental representation and transformation of two- and three-dimensional images and manipulation of objects at table-top have been studied extensively and are considered predictive of both interest and success in STEM disciplines. However, research investigating the relation of large-scale spatial…
Descriptors: Spatial Ability, STEM Education, Individual Differences, Expertise
Doval, Eduardo; Delicado, Pedro – Journal of Educational and Behavioral Statistics, 2020
We propose new methods for identifying and classifying aberrant response patterns (ARPs) by means of functional data analysis. These methods take the person response function (PRF) of an individual and compare it with the pattern that would correspond to a generic individual of the same ability according to the item-person response surface. ARPs…
Descriptors: Response Style (Tests), Data Analysis, Identification, Classification
Angela N. Mabry – ProQuest LLC, 2024
With increased pressure for schools to demonstrate college and career readiness, it is crucial to explore the roles and activities of school counselors, the preservice training they receive, and how those college and career readiness concepts are integrated into their roles. The research questions were (1) What are the current roles and activities…
Descriptors: Middle Schools, High Schools, School Counselors, Career Readiness
Lee, HyeSun; Smith, Weldon; Martinez, Angel; Ferris, Heather; Bova, Joe – Applied Measurement in Education, 2021
The aim of the current research was to provide recommendations to facilitate the development and use of anchoring vignettes (AVs) for cross-cultural comparisons in education. Study 1 identified six factors leading to order violations and ties in AV responses based on cognitive interviews with 15-year-old students. The factors were categorized into…
Descriptors: Vignettes, Test Items, Equated Scores, Nonparametric Statistics
Yukhymenko-Lescroart, Mariya A.; Goldman, Susan R.; Lawless, Kimberly A.; Pellegrino, James W.; Shanahan, Cynthia R. – Educational Psychology, 2022
To extend the existing research examining multiple text comprehension and its assessment, we developed a verification task approach to assessing of information that was "explicitly" and "implicitly" presented "within" and across nine texts. A nonparametric form of signal detection theory was used to analyse the…
Descriptors: Task Analysis, Reading Comprehension, Middle School Students, Nonparametric Statistics
Cynthia A. Gallardo – School Leadership Review, 2024
Dual Enrollment (DE) or Dual Credit (DC) programs have become increasingly prevalent at both the high school and college settings. These programs enable students to earn both high school and college credit and get a head start on their college education. Additionally, students in these programs must take university core curriculum courses to…
Descriptors: Introductory Courses, Biology, Dual Enrollment, High Schools
Dirlik, Ezgi Mor – International Journal of Progressive Education, 2020
Mokken models have recently started to become the preferred method of researchers from different fields in studies of nonparametric item response theory (NIRT). Despite increasing application of these models, some features of this type of modelling need further study and explanation. Invariant item ordering (IIO) is one of these areas, which the…
Descriptors: Item Response Theory, Test Items, Nonparametric Statistics, Scoring
Ayanwale, Musa Adekunle; Isaac-Oloniyo, Flourish O.; Abayomi, Funmilayo R. – International Journal of Evaluation and Research in Education, 2020
This study investigated dimensionality of Binary Response Items through a non-parametric technique of Item Response Theory measurement framework. The study used causal comparative research type of nonexperimental design. The sample consisted of 5,076 public senior secondary school examinees (SSS3) between the age of 14-16 years from 45 schools,…
Descriptors: Test Items, Item Response Theory, Bayesian Statistics, Nonparametric Statistics
Jeffry White – Journal of Educational Research and Practice, 2024
Violations of normality and homogeneity are common in educational data. When this occurs, the use of parametric statistics may be inappropriate. A generalized form of nonparametric analyses based on the Puri and Sen L statistic provides an alternative approach. Using a chi-square distribution, this technique is easy to apply and has significant…
Descriptors: Nonparametric Statistics, Learning Analytics, Evaluation Methods, Guidance
Abulela, Mohammed A. A.; Rios, Joseph A. – Applied Measurement in Education, 2022
When there are no personal consequences associated with test performance for examinees, rapid guessing (RG) is a concern and can differ between subgroups. To date, the impact of differential RG on item-level measurement invariance has received minimal attention. To that end, a simulation study was conducted to examine the robustness of the…
Descriptors: Comparative Analysis, Robustness (Statistics), Nonparametric Statistics, Item Analysis
Delafontaine, Jolien; Chen, Changsheng; Park, Jung Yeon; Van den Noortgate, Wim – Large-scale Assessments in Education, 2022
In cognitive diagnosis assessment (CDA), the impact of misspecified item-attribute relations (or "Q-matrix") designed by subject-matter experts has been a great challenge to real-world applications. This study examined parameter estimation of the CDA with the expert-designed Q-matrix and two refined Q-matrices for international…
Descriptors: Q Methodology, Matrices, Cognitive Measurement, Diagnostic Tests
Wanxue Zhang; Lingling Meng; Bilan Liang – Interactive Learning Environments, 2023
With the continuous development of education, personalized learning has attracted great attention. How to evaluate students' learning effects has become increasingly important. In information technology courses, the traditional academic evaluation focuses on the student's learning outcomes, such as "scores" or "right/wrong,"…
Descriptors: Information Technology, Computer Science Education, High School Students, Scoring
Suana, Wayan – Journal of Technology and Science Education, 2018
This paper aims to analyze the differences between internet facilities, internet usage purposes, internet self-efficacy (ISE), and internet perceptions in learning physics, regarding students' gender and grade. A total of 798 senior high school students were surveyed randomly from 10 schools in the urban area of Lampung Province, Indonesia. The…
Descriptors: Internet, Self Efficacy, Physics, Gender Differences
Gorucu, Alpaslan – Educational Research and Reviews, 2016
The purpose of the present research was to investigate the effects of physical education lessons planned in accordance with cooperative learning approach on secondary school students' problem solving skills. The research was conducted on 48 students studying at Konya/Selçuklu Sehit Mustafa Çuhadar Secondary School in fall semester of 2015-2016…
Descriptors: Foreign Countries, Physical Education, Cooperative Learning, Secondary School Students