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Jean Grossman; Hannah Betesh; Blake Dohrn; Daniel Litwok; Jacob Klerman – MDRC, 2024
Job Corps is the largest and most comprehensive education and job training program in the United States for young people ages 16 to 24 who are not in school and are not working. To deepen the Job Corps program's ability to generate and use evidence to improve the labor market trajectories of eligible young people, this report discusses ways Job…
Descriptors: Job Training, Federal Programs, Program Evaluation, Educational Research
Carrie A. Hansel; Joshua D. Quick; Cathrine E. Reck; Anna Hungerfield Greene; Maggie Ricci; Anne Ottenbreit-Leftwich – Journal of Teaching and Learning with Technology, 2024
This multicase study explores how instructors at one higher education institution used an emerging technology, Gradescope, in their large classes to support the assessment of student learning. The study examined the practices of two instructors who taught large lecture classes with more than 100 students and used Gradescope to assist with the…
Descriptors: Educational Technology, Large Group Instruction, Lecture Method, College Faculty
Pongpol Suansri; Supong Tangkiengsirisin – PASAA: Journal of Language Teaching and Learning in Thailand, 2024
The rising status of English as a global language prompts a call for a paradigm shift in English language teaching in order to correspond to the new sociolinguistic landscape. However, studies related to English language assessment, which can catalyze the transformation especially in a test-oriented context like Thailand, remain limited. This…
Descriptors: Foreign Countries, English (Second Language), Secondary School Teachers, Language Usage
Amy Adair – ProQuest LLC, 2024
Developing models, using mathematics, and constructing explanations are three practices essential for science inquiry learning according to education reform efforts, such as the Next Generation Science Standards (NGSS Lead States, 2013). However, students struggle with these intersecting practices, especially when developing and interpreting…
Descriptors: Artificial Intelligence, Evaluation Methods, Scaffolding (Teaching Technique), Mathematics
Karadag, Nejdet; Özgür, Aydin Ziya – Turkish Online Journal of Educational Technology - TOJET, 2020
The study examines assessment and evaluation procedures in mega universities. Within the scope of the study, the literature focusing on mega universities offering open and distance education and their assessment and evaluation systems were examined first. Later, the results of the questionnaire administered in the study-specific mega universities…
Descriptors: Institutional Evaluation, Institutional Characteristics, Evaluation Methods, Open Education
Wheldall, Kevin; Wheldall, Robyn; Bell, Nicola; Buckingham, Jennifer – Educational and Developmental Psychologist, 2020
Conducting classroom-based educational research trials is important for establishing the efficacy and effectiveness of specific instructional interventions. Such endeavours, however, are challenging to implement. This was made evident during a recent independent evaluation of the efficacy of the MiniLit program, wherein various difficulties…
Descriptors: Reading Instruction, Instructional Effectiveness, Intervention, Reading Programs
Myers, Aaron J.; Ames, Allison J.; Leventhal, Brian C.; Holzman, Madison A. – Applied Measurement in Education, 2020
When rating performance assessments, raters may ascribe different scores for the same performance when rubric application does not align with the intended application of the scoring criteria. Given performance assessment score interpretation assumes raters apply rubrics as rubric developers intended, misalignment between raters' scoring processes…
Descriptors: Scoring Rubrics, Validity, Item Response Theory, Interrater Reliability
Holton, Valerie L.; Hinterlong, James E.; Jettner, Jennifer – Research Evaluation, 2020
Policymakers, accreditation bodies, students and their families, and other stakeholders increasingly press institutions of higher education to provide clear evidence of their value. Institutions emphasize their status as a public good claiming their role in developing human capital and informed citizens, enabling social class mobility, and…
Descriptors: Community Involvement, Higher Education, Universities, School Community Relationship
Liang, Xinya – Educational and Psychological Measurement, 2020
Bayesian structural equation modeling (BSEM) is a flexible tool for the exploration and estimation of sparse factor loading structures; that is, most cross-loading entries are zero and only a few important cross-loadings are nonzero. The current investigation was focused on the BSEM with small-variance normal distribution priors (BSEM-N) for both…
Descriptors: Factor Structure, Bayesian Statistics, Structural Equation Models, Goodness of Fit
Koegel, Lynn Kern; Bryan, Katherine M.; Su, Pumpki L.; Vaidya, Mohini; Camarata, Stephen – Journal of Autism and Developmental Disorders, 2020
This systematic review examined definitions of "nonverbal" or "minimally verbal" and assessment measures used to evaluate communication in intervention studies focusing on improving expressive verbal communication in children with autism spectrum disorder (ASD). We reviewed sample size, number of participants, participant age,…
Descriptors: Autism, Pervasive Developmental Disorders, Verbal Ability, Communication Skills
Kim, Stella Y.; Lee, Won-Chan – Journal of Educational Measurement, 2020
The current study aims to evaluate the performance of three non-IRT procedures (i.e., normal approximation, Livingston-Lewis, and compound multinomial) for estimating classification indices when the observed score distribution shows atypical patterns: (a) bimodality, (b) structural (i.e., systematic) bumpiness, or (c) structural zeros (i.e., no…
Descriptors: Classification, Accuracy, Scores, Cutting Scores
Podsiad, Megan; Havard, Byron – Educational Technology Research and Development, 2020
The problem this study sought to address was faculty reluctance to use new online peer-assessment tools. The purpose of this study was to examine the motivational factors that influence the acceptance of the Peer Assessment Collaboration Evaluation (PACE) Tool among faculty employed at a mid-sized university in the Southeastern United States. This…
Descriptors: College Faculty, Peer Evaluation, Usability, Teacher Motivation
Arellano Douglas, Veronica – Communications in Information Literacy, 2020
In "Teaching Against the Grain: Critical Assessment in the Library Classroom," Maria Accardi sought a critical, feminist approach to assessment that questioned power structures, celebrated learners, and found strength in diverse perspectives and voices. This article expands on Accardi's work to explore a care-based assessment framework…
Descriptors: Critical Theory, Feminism, Evaluation Methods, Library Science
Morris, Scott B.; Bass, Michael; Howard, Elizabeth; Neapolitan, Richard E. – International Journal of Testing, 2020
The standard error (SE) stopping rule, which terminates a computer adaptive test (CAT) when the "SE" is less than a threshold, is effective when there are informative questions for all trait levels. However, in domains such as patient-reported outcomes, the items in a bank might all target one end of the trait continuum (e.g., negative…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Banks, Item Response Theory
Jang, Yoonsun; Cohen, Allan S. – Educational and Psychological Measurement, 2020
A nonconverged Markov chain can potentially lead to invalid inferences about model parameters. The purpose of this study was to assess the effect of a nonconverged Markov chain on the estimation of parameters for mixture item response theory models using a Markov chain Monte Carlo algorithm. A simulation study was conducted to investigate the…
Descriptors: Markov Processes, Item Response Theory, Accuracy, Inferences

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