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Backes, Ben; Cowan, James; Goldhaber, Dan; Theobald, Roddy – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2022
We examine how different measures of teacher quality are related to students' long-run trajectories. Comparing teachers' "test-based" value-added to "nontest" value-added -- based on contributions to student absences and grades -- we find that test and nontest value-added have similar effects on the average quality of colleges…
Descriptors: Teacher Effectiveness, Measurement Techniques, Outcomes of Education, Attendance Patterns
Smarter Balanced Assessment Consortium, 2022
Through-year assessment has entered the national educational dialogue as an alternative to the end-of-year summative assessment model. As state educational agencies (SEAs) weigh the advantages and disadvantages of embracing this emergent assessment system, it is important to consider the impact such a decision would have on local educational…
Descriptors: Student Evaluation, Progress Monitoring, School Districts, Role
Jin Soo Choi – ProQuest LLC, 2022
Nonverbal behavior is essential in human interaction (Gullberg, de Bot, & Volterra, 2008; McNeill, 1992, 2005). For second language speakers, nonverbal features can be helpful for successful and efficient communication (e.g., Dahl & Ludvigsen, 2014). However, due to the complexity of nonverbal features, language testing institutions have…
Descriptors: Language Tests, Language Proficiency, Videoconferencing, Second Language Learning
Tanya Longabach – Program for the International Assessment of Adult Competencies, 2022
Barriers to accessing preventive care, and healthcare in general, include lack of language proficiency (Chang, Chan, & Han, 2015; Lebrun, 2012; Ponce et al., 2006; DeRose, Escarce, & Lurie, 2007; Jacobs, Chen, Karliner, Agger-Gupta, & Mutha, 2006), inability to afford health care (Aguilera & Massey, 2003), lack of health insurance…
Descriptors: Adults, Immigrants, Native Speakers, Access to Health Care
Beula M. Magimairaj; Philip Capin; Sandra L. Gillam; Sharon Vaughn; Greg Roberts; Anna-Maria Fall; Ronald B. Gillam – Grantee Submission, 2022
Purpose: Our aim was to evaluate the psychometric properties of the online administered format of the Test of Narrative Language--Second Edition (TNL-2; Gillam & Pearson, 2017), given the importance of assessing children's narrative ability and considerable absence of psychometric studies of spoken language assessments administered online.…
Descriptors: Computer Assisted Testing, Language Tests, Story Telling, Language Impairments
Panidnad Chulerk; Supachanin Duangchinda Sathianpan; Jintavee Khlaisang – rEFLections, 2025
This research endeavors to assess the efficacy of Mobile Assisted Language Learning (MALL) in elevating students' English proficiency to the Common European Framework of Reference (CEFR) B1 level. The study involves identifying the most suitable mobile application for formative assessment, implementing it to enhance students' English competency,…
Descriptors: Formative Evaluation, Computer Assisted Instruction, Teaching Methods, Telecommunications
Frances Heaney; Trinidad Velasco-Torrijos; Carmel Breslin; Robert Elmes; John Stephens; Ria Collery-Walsh; Anne Cleary; Orla Joyce; Brian Murphy; Bernard Drumm; Ronan Bree; Eric Moore; Aoife Morrin; Bla´naid White; Denise Rooney – Journal of Chemical Education, 2025
In a technology-enhanced learning environment and underpinned by a unique hybrid pedagogic model that borrows from gamification, constructivism, and experiential learning approaches, badges were purposefully used to foster engagement. This approach promoted the development of a mindset that identifies and appreciates the worth of a portfolio of…
Descriptors: Science Instruction, Blended Learning, Large Group Instruction, Experiential Learning
Qiao Wang; Ralph L. Rose; Ayaka Sugawara; Naho Orita – Vocabulary Learning and Instruction, 2025
VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…
Descriptors: Vocabulary Skills, Artificial Intelligence, Computer Software, Multiple Choice Tests
Suijing Yang; Daniel Taylor-Griffiths; Fabienne van der Kleij; Pauline Taylor-Guy; Ralph Saubern – Australian Council for Educational Research, 2025
Many existing reviews of educational technologies focus on the affordances of specific types of technology rather than how different technologies can be designed and used to achieve specific teaching and learning objectives. Furthermore, there appears to be a widely held assumption that the use of educational technology will result in improved…
Descriptors: Teacher Empowerment, Educational Technology, Technology Uses in Education, Technology Integration
Riccomini, Paul J.; Berkeley, Sheri; Neally, Allison; Stagliano, Christina; Kurz, Leigh Ann; Brigham, Frederick – International Journal for Research in Learning Disabilities, 2019
Oral reading fluency (ORF) assessments measure how quickly and accurately students read within one minute. They are widely used at the elementary level; however, due to the typical structure and class sizes in middle schools, such individualized assessments are less feasible and, therefore, less frequently used. Two exploratory studies…
Descriptors: Oral Reading, Reading Fluency, Reading Tests, Middle School Students
Choi, Youn-Jeng; Asilkalkan, Abdullah – Measurement: Interdisciplinary Research and Perspectives, 2019
About 45 R packages to analyze data using item response theory (IRT) have been developed over the last decade. This article introduces these 45 R packages with their descriptions and features. It also describes possible advanced IRT models using R packages, as well as dichotomous and polytomous IRT models, and R packages that contain applications…
Descriptors: Item Response Theory, Data Analysis, Computer Software, Test Bias
Dittrich, Dino; Leenders, Roger Th. A. J.; Mulder, Joris – Sociological Methods & Research, 2019
Currently available (classical) testing procedures for the network autocorrelation can only be used for falsifying a precise null hypothesis of no network effect. Classical methods can be neither used for quantifying evidence for the null nor for testing multiple hypotheses simultaneously. This article presents flexible Bayes factor testing…
Descriptors: Correlation, Bayesian Statistics, Networks, Evaluation Methods
McNeely, Jennifer; Haley, Sean J.; Smith, Allison J.; Leonard, Noelle R.; Cleland, Charles M.; Ferdschneider, Marcy; Calderoni, Michele; Sleiter, Luke; Ciotoli, Carlo; Adam, Angéline – Journal of American College Health, 2019
Objective: To characterize the prevalence of tobacco, alcohol, and drug use and the acceptability of screening in university health centers. Participants: Five hundred and two consecutively recruited students presenting for primary care visits in February and August, 2015, in two health centers. Methods: Participants completed anonymous substance…
Descriptors: School Health Services, Screening Tests, Substance Abuse, Drinking
Simpson, Adrian – Educational Researcher, 2019
A recent paper uses Bayes factors to argue a large minority of rigorous, large-scale education RCTs are "uninformative." The definition of "uninformative" depends on the authors' hypothesis choices for calculating Bayes factors. These arguably overadjust for effect size inflation and involve a fixed prior distribution,…
Descriptors: Randomized Controlled Trials, Bayesian Statistics, Educational Research, Program Evaluation
von Davier, Matthias; Khorramdel, Lale; He, Qiwei; Shin, Hyo Jeong; Chen, Haiwen – Journal of Educational and Behavioral Statistics, 2019
International large-scale assessments (ILSAs) transitioned from paper-based assessments to computer-based assessments (CBAs) facilitating the use of new item types and more effective data collection tools. This allows implementation of more complex test designs and to collect process and response time (RT) data. These new data types can be used to…
Descriptors: International Assessment, Computer Assisted Testing, Psychometrics, Item Response Theory

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