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Smith, Ben O.; White, Dustin R.; Wagner, Jamie; Kuzyk, Patricia; Prera, Alex – Studies in Higher Education, 2023
Student Evaluations of Teaching (SETs) are an integral part of evaluating course outcomes. They are routinely used to evaluate teaching quality for the purposes of reappointment, promotion, and tenure (RPT), annual review, and the rehiring of adjunct faculty and lecturers. These evaluations are often based almost entirely on the mean or proportion…
Descriptors: Student Evaluation of Teacher Performance, Statistical Analysis, Response Rates (Questionnaires), Evaluation Methods
Kuijpers, Renske E.; Visser, Ingmar; Molenaar, Dylan – Journal of Educational and Behavioral Statistics, 2021
Mixture models have been developed to enable detection of within-subject differences in responses and response times to psychometric test items. To enable mixture modeling of both responses and response times, a distributional assumption is needed for the within-state response time distribution. Since violations of the assumed response time…
Descriptors: Test Items, Responses, Reaction Time, Models
Cladera, Magdalena – Educational Assessment, Evaluation and Accountability, 2021
Students' feedback is usually gathered in institutions of higher education to evaluate the teaching quality from the students' perspective, using questionnaires administered at the end of the courses. These evaluations are useful to pinpoint the course strengths, identify areas of improvement, and understand the factors that contribute to…
Descriptors: Feedback (Response), Student Evaluation of Teacher Performance, Higher Education, Student Satisfaction
Iannario, Maria; Manisera, Marica; Piccolo, Domenico; Zuccolotto, Paola – Sociological Methods & Research, 2020
In analyzing data from attitude surveys, it is common to consider the "don't know" responses as missing values. In this article, we present a statistical model commonly used for the analysis of responses/evaluations expressed on Likert scales and extended to take into account the presence of don't know responses. The main objective is to…
Descriptors: Response Style (Tests), Likert Scales, Statistical Analysis, Models
Mousavi, Amin; Schmidt, Matthew; Squires, Vicki; Wilson, Ken – International Journal of Artificial Intelligence in Education, 2021
Greer and Mark's (2016) paper suggested and reviewed different methods for evaluating the effectiveness of intelligent tutoring systems such as Propensity score matching. The current study aimed at assessing the effectiveness of automated personalized feedback intervention implemented via the Student Advice Recommender Agent (SARA) in a first-year…
Descriptors: Automation, Feedback (Response), Intervention, College Freshmen
To, Jessica; Panadero, Ernesto; Carless, David – Assessment & Evaluation in Higher Education, 2022
The analysis of exemplars of different quality is a potentially powerful tool in enabling students to understand assessment expectations and appreciate academic standards. Through a systematic review methodology, this paper synthesises exemplar-based research designs, exemplar implementation and the educational effects of exemplars. The review of…
Descriptors: Research Design, Scoring Rubrics, Peer Evaluation, Self Evaluation (Individuals)
Raykov, Tenko; Dimitrov, Dimiter M.; Marcoulides, George A.; Harrison, Michael – Educational and Psychological Measurement, 2019
Building on prior research on the relationships between key concepts in item response theory and classical test theory, this note contributes to highlighting their important and useful links. A readily and widely applicable latent variable modeling procedure is discussed that can be used for point and interval estimation of the individual person…
Descriptors: True Scores, Item Response Theory, Test Items, Test Theory
Da Yan – Assessment & Evaluation in Higher Education, 2024
The aim of the study was to examine the effects of rubric co-creation on peer feedback. From a social constructivist perspective, rubric co-creation might have the ability to promote the quality of feedback messages, interactivities within feedback processes, and uptake of feedback information in a peer-based collaborative setting of higher…
Descriptors: Foreign Countries, Scoring Rubrics, Peer Evaluation, Peer Relationship
Duprey, Michael A.; Pratt, Daniel J.; Wilson, David H.; Jewell, Donna M.; Brown, Derick S.; Caves, Lesa R.; Kinney, Satkartar K.; Mattox, Tiffany L.; Ritchie, Nichole Smith; Rogers, James E.; Spagnardi, Colleen M.; Wescott, Jamie D. – National Center for Education Statistics, 2020
This data file documentation accompanies new data files for the High School Longitudinal Study of 2009 (HSLS:09) Postsecondary Education Transcript Study and Student Financial Aid Records Collection (PETS-SR). HSLS:09 follows a nationally representative sample of students who were ninth-graders in fall 2009 from high school into postsecondary…
Descriptors: Longitudinal Studies, High School Students, Sampling, Data Collection
Balloo, Kieran; Pauli, Regina; Worrell, Marcia – Studies in Higher Education, 2017
Undergraduate students are likely to have a range of reasons for attending university and expectations about their education. The current study aimed to determine the most prevalent reasons and expectations among students, and how these differed based on their personal circumstances. First-year undergraduate psychology students completed a…
Descriptors: Undergraduate Students, Expectation, Questionnaires, Psychology
Aslan, Bilge; Seker, Hasan – Journal of Education and Learning, 2017
In globally developing education system, technology has made instructional improved in many ways. One of these improvements is the Interactive Response Systems (IRS) that are applied in classroom activities. Therefore, it is "smart" to focus on interactive response systems in learning environment. This study was conducted aiming to focus…
Descriptors: Educational Technology, Technology Uses in Education, Audience Response Systems, Feedback (Response)
Menekse, Muhsin – Journal of Experimental Education, 2020
This study addressed the role of the reflection-informed learning and instruction (RILI) model on students' academic success by using CourseMIRROR mobile system. We hypothesized that prompting students to reflect on confusing concepts stimulates their self-monitoring activities according to which students are expected to review their…
Descriptors: Reflection, Academic Achievement, Undergraduate Students, Instructional Effectiveness
Menekse, Muhsin – Grantee Submission, 2020
This study addressed the role of the reflection-informed learning and instruction (RILI) model on students' academic success by using CourseMIRROR mobile system. We hypothesized that prompting students to reflect on confusing concepts stimulates their self-monitoring activities according to which students are expected to review their…
Descriptors: Reflection, Academic Achievement, Undergraduate Students, Instructional Effectiveness
Selvi, Hüseyin; Özdemir Alici, Devrim – International Journal of Assessment Tools in Education, 2018
In this study, it is aimed to investigate the impact of different missing data handling methods on the detection of Differential Item Functioning methods (Mantel Haenszel and Standardization methods based on Classical Test Theory and Likelihood Ratio Test method based on Item Response Theory). In this regard, on the data acquired from 1046…
Descriptors: Test Bias, Test Theory, Item Response Theory, Multiple Choice Tests
Capa-Aydin, Yesim – Assessment & Evaluation in Higher Education, 2016
This study compares student evaluations of instruction that were collected in-class with those gathered through an online survey. The two modes of administration were compared with respect to response rate, psychometric characteristics and mean ratings through different statistical analyses. Findings indicated that in-class evaluations produced a…
Descriptors: Student Evaluation of Teacher Performance, Teaching Methods, Comparative Analysis, Web Based Instruction