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Kevin Ng – Education Economics, 2025
This study evaluates techniques to identify high-quality teachers. Since tenure restricts dismissals of experienced teachers, schools must predict productivity and dismiss those expected to perform ineffectively prior to tenure receipt. Many states rely on evaluation scores to guide these personnel decisions without considering other dimensions of…
Descriptors: Identification, Teacher Effectiveness, Teacher Selection, Teacher Evaluation
Su, Shiyang – ProQuest LLC, 2017
With the online assessment becoming mainstream and the recording of response times becoming straightforward, the importance of response times as a measure of psychological constructs has been recognized and the literature of modeling times has been growing during the last few decades. Previous studies have tried to formulate models and theories to…
Descriptors: Reading Comprehension, Item Response Theory, Models, Reaction Time
Kim, Sunha – Journal of Educational Computing Research, 2018
This study compared the direct, indirect, and total effects of information, communication, and technology (ICT) variables on math achievement for second-generation immigrant, first-generation immigrant, and nonimmigrant students. A path model was used to analyze U.S. nationally representative data from the Program for International Student…
Descriptors: Immigrants, Migrant Children, Migrant Education, Predictor Variables
Neumann, Yoram; Neumann, Edith; Lewis, Shelia – Contemporary Issues in Education Research, 2017
This study integrated the Spiral Curriculum approach into the Robust Learning Model as part of a continuous improvement process that was designed to improve educational effectiveness and then assessed the differences between the initial and integrated models as well as the predictability of the first course in the integrated learning model on a…
Descriptors: Masters Programs, Integrated Curriculum, Models, Online Courses
Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
Moss, Tony – Kansas State Department of Education, 2017
The purpose of this paper is to open the methods, construction and assumptions of a new performance benchmark to examination, critique, and improvement by technical experts. The paper begins with known technical questions about this new benchmark. In includes suggestions made by technical advisors. It then details the construction of the…
Descriptors: Educational Assessment, Performance Based Assessment, Benchmarking, State Departments of Education
McNeal, Ralph B., Jr. – Educational Research for Policy and Practice, 2015
Researchers focusing on parent involvement continue to concentrate their efforts on the relationship between involvement and student performance in isolation of the school context in which involvement occurs. This research outlines an ecology of involvement and how this social context affects parent involvement and student performance. Relying on…
Descriptors: Parent Participation, Academic Achievement, Influences, Context Effect
Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – Grantee Submission, 2016
How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…
Descriptors: Sequential Learning, Data Collection, Information Retrieval, Evaluation Methods
Kerby, Molly B. – Journal of College Student Retention: Research, Theory & Practice, 2015
Theoretical models designed to predict whether students will persist or not have been valuable tools for retention efforts relative to the creation of services in academic and student affairs. Some of the early models attempted to explain and measure factors in the "college dropout process." For example, in his seminal work, Tinto…
Descriptors: Predictor Variables, Models, School Holding Power, Academic Persistence
Nilsen, Trude; Gustafsson, Jan-Eric – Educational Research and Evaluation, 2014
We study whether changes in school emphasis on academic success (SEAS) and safe schools (SAFE) may explain the increased science performance in Norway between TIMSS 2007 and 2011. Two-level structural equation modelling (SEM) of merged TIMSS data was used to investigate whether changes in levels of SEAS and SAFE mediate the changes in science…
Descriptors: Academic Achievement, Success, Science Achievement, Performance Based Assessment
Goldhaber, Dan; Walch, Joe; Gabele, Brian – Center for Education Data & Research, 2012
Policymakers appear increasingly inclined to utilize measures of student achievement, often state assessment results, to inform high-stakes teacher personnel decisions. This has been spurred on by the federal government's Teacher Incentive Fund (TIF) and Race to the Top (RttT) grant programs, each of which urge states and localities to tie teacher…
Descriptors: Models, Academic Achievement, Teacher Evaluation, Performance Based Assessment
Olson, Joel D.; Ringhand, Darlene G.; Kalinski, Ray C.; Ziegler, James G. – American Journal of Business Education, 2015
What is the best way to assign graduate business students to online team-based projects? Team assignments are frequently made on the basis of alphabet, time zones or previous performance. This study reviews personality as an indicator of student online team performance. The personality assessment IDE (Insights Discovery Evaluator) was administered…
Descriptors: Teamwork, Online Courses, Electronic Learning, Student Projects
Becker, William J.; Cropanzano, Russell – Journal of Applied Psychology, 2011
Previous research pertaining to job performance and voluntary turnover has been guided by 2 distinct theoretical perspectives. First, the push-pull model proposes that there is a quadratic or curvilinear relationship existing between these 2 variables. Second, the unfolding model of turnover posits that turnover is a dynamic process and that a…
Descriptors: Job Performance, Models, Employees, Predictor Variables
Parker, Caroline E.; Louie, Josephine; O'Dwyer, Laura – Regional Educational Laboratory Northeast & Islands, 2009
Using assessment results for 5th and 8th grade English language learner students in New Hampshire, Rhode Island, and Vermont, the report finds that the English language domains of reading and writing (as measured by a proficiency assessment) are significant predictors of performance on reading, writing, and mathematics assessments and that the…
Descriptors: English (Second Language), Second Language Learning, Language Proficiency, Grade 5
Parker, Caroline E.; Louie, Josephine; O'Dwyer, Laura – Regional Educational Laboratory Northeast & Islands, 2009
Using assessment results for 5th and 8th grade English language learner students in New Hampshire, Rhode Island, and Vermont, the report finds that the English language domains of reading and writing (as measured by a proficiency assessment) are significant predictors of performance on reading, writing, and mathematics assessments and that the…
Descriptors: English (Second Language), Second Language Learning, Language Proficiency, Grade 5
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