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Tindal, Gerald; Anderson, Daniel – Learning Disability Quarterly, 2019
With the shift from No Child Left Behind (NCLB) to Every Student Succeeds Act (ESSA), accountability models are being changed. Given the past 15 years of reporting on student subgroups and 10 years using various growth models, accountability systems can now be better informed. In this study, we analyze identification and services of students with…
Descriptors: Learning Disabilities, Accountability, Growth Models, Special Education
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Suyatno; Jumintono; Pambudi, Dholina Inang; Mardati, Asih; Wantini – International Journal of Instruction, 2019
The primary question of this research was how educators implement values education at Junior High Schools in Bangka Belitung Province, Indonesia. This research is a qualitative research with phenomenology type. Data analyzing technique used in this research was in-depth interviews, observation, and document analysis. Data analysis was done through…
Descriptors: Values Education, Foreign Countries, Junior High Schools, Educational Strategies
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List, Marit Kristine; Köller, Olaf; Nagy, Gabriel – Educational and Psychological Measurement, 2019
Tests administered in studies of student achievement often have a certain amount of not-reached items (NRIs). The propensity for NRIs may depend on the proficiency measured by the test and on additional covariates. This article proposes a semiparametric model to study such relationships. Our model extends Glas and Pimentel's item response theory…
Descriptors: Educational Assessment, Item Response Theory, Multivariate Analysis, Test Items
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van Rensburg, Angelique C.; Theron, Linda C.; Ungar, Michael – Research on Social Work Practice, 2019
Purpose: The factor structure of the Child and Youth Resilience Measure (CYRM-28) was originally established using a Canadian sample. This factor structure was not confirmed in a study with New Zealand youth. Given such variability, the current study investigated the factor structure of the CYRM-28 in a sample of Sesotho-speaking South African…
Descriptors: Foreign Countries, Likert Scales, Resilience (Psychology), Adolescents
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Habib, Hadiya – Shanlax International Journal of Education, 2019
The study aimed at finding the impact of the Concept Attainment Model of teaching on the achievement of XII standard students in social sciences. A sample of 400 students of XII grade was randomly selected for each controlled and experimental group. In this study, innovative -control (pre-test post-test) parallel group was used. Descriptive and…
Descriptors: Social Sciences, Secondary School Students, Academic Achievement, Inquiry
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Laursen, Bethany; O'Rourke, Michael – Issues in Interdisciplinary Studies, 2019
Integration is crucial to interdisciplinary and transdisciplinary work and it therefore deserves perennial attention by scholars and practitioners of such work. Few have thought so carefully, deeply, and tenaciously about integration as Julie Thompson Klein. In this article, we recount the development of Klein's thinking on integration, from her…
Descriptors: Interdisciplinary Approach, Educational Theories, Learning Theories, Input Output Analysis
Karibeeran, Sathyamurthi; Mohanty, Shefali – Online Submission, 2019
Adolescence is a period of heightened emotionality. If the adolescents cannot perceive, understand, regulate and function with their emotions it will leave indelible marks on their behaviour and personality. During adolescence (age 12 to 18 yrs), the transition from childhood to adulthood is most important. Children are becoming more independent,…
Descriptors: Emotional Intelligence, Adolescents, Adolescent Development, Social Development
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Li, Ni; Warter-Perez, Nancy; Shen, He – Grantee Submission, 2019
Homework is considered as a substantial process of learning especially for engineering education. However, due to the fast development of network technology, students now can easily find solution manuals on the internet. While some students use solution manuals to study, there are quite a few students who just copy homework solutions and lose…
Descriptors: Self Evaluation (Individuals), Homework, Error Correction, Models
Kathleen Kassie M. Silvas – ProQuest LLC, 2019
The cost of a college degree has caused students, higher education institutions, and government representatives to investigate alternative education designs that are advertised as cheaper, more flexible, and based on skills rather than classroom seat time. Students question the rising cost of tuition, increased time to degree completion, and the…
Descriptors: Community Colleges, Competency Based Education, Community College Students, Costs
Peng Ding; Luke W. Miratrix – Grantee Submission, 2019
For binary experimental data, we discuss randomization-based inferential procedures that do not need to invoke any modeling assumptions. We also introduce methods for likelihood and Bayesian inference based solely on the physical randomization without any hypothetical super population assumptions about the potential outcomes. These estimators have…
Descriptors: Causal Models, Statistical Inference, Randomized Controlled Trials, Bayesian Statistics
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Victor W. Harris; C. Bradford Sewell; Jon Anderson; Kyra C. Speegle; Heidi Jones Harris – Journal of Human Sciences & Extension, 2019
Human services educators are continually seeking ways to make instruction more effective and engaging. This study evaluated the AIAI-FTFD (Attention, Interact, Apply, Invite -- Fact, Think, Feel, Do) Start-to-Finish Teaching Model for educators in an ongoing premarital educational program to determine the model's effectiveness in implementing the…
Descriptors: Marriage, Family Life Education, Teaching Models, Instructional Effectiveness
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Young, Nicholas T.; Caballero, Marcos D. – Journal of Educational Data Mining, 2021
We encounter variables with little variation often in educational data mining (EDM) due to the demographics of higher education and the questions we ask. Yet, little work has examined how to analyze such data. Therefore, we conducted a simulation study using logistic regression, penalized regression, and random forest. We systematically varied the…
Descriptors: Prediction, Models, Learning Analytics, Mathematics
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Felder, Richard M. – Journal of Food Science Education, 2021
Higher education in science, technology, engineering, and mathematics (STEM) disciplines has been in a turbulent period for several decades. Pressures for reform include declining STEM student enrollments, high attrition rates from STEM curricula, and the rise of powerful alternative teaching strategies shown by cognitive science and educational…
Descriptors: STEM Education, Models, Higher Education, Educational Change
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Ashman, Kate; Rochford, Francine; Slade, Brett – Journal of University Teaching and Learning Practice, 2021
This article considers the intersection between two major themes in university policy: the improvement of participation by rural and regional communities and the dimension of graduate employability. It argues that work-integrated learning has the potential to address both themes, but that the development of an apprenticeship model for prestige…
Descriptors: Work Experience Programs, Apprenticeships, College Students, Rural Areas
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Donnellan, M. Brent; Martin, Monica J.; Senia, Jennifer M. – Developmental Psychology, 2021
Genetic and environmental factors account for variability in a range of developmental outcomes, including socioeconomic status (SES). The challenge is to find ways to incorporate genetic information based on studies using biologically related family members (i.e., studies not involving twins). To address this issue, we computed polygenic scores…
Descriptors: Genetics, Socioeconomic Status, Individual Development, Models
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