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Bayesian Logistic Regression: A New Method to Calibrate Pretest Items in Multistage Adaptive Testing
TsungHan Ho – Applied Measurement in Education, 2023
An operational multistage adaptive test (MST) requires the development of a large item bank and the effort to continuously replenish the item bank due to concerns about test security and validity over the long term. New items should be pretested and linked to the item bank before being used operationally. The linking item volume fluctuations in…
Descriptors: Bayesian Statistics, Regression (Statistics), Test Items, Pretesting
Jonas T. Jørgensen; Bente Gammelgaard; Frederik V. Christiansen – Journal of Chemical Education, 2023
In pharmaceutical laboratory teaching and learning, students' written reports allow them to document their understanding. Therefore, feedback on these reports is crucial for the students' continued learning. This study investigates written feedback on laboratory reports and compares the students' perceptions with teachers' intentions. The study is…
Descriptors: Intention, Teachers, Pharmaceutical Education, Feedback (Response)
Sonia M. Underwood; Alex T. Kararo; Lynmarie A. Posey; Amy M. Pollock; Deborah G. Herrington; Ryan L. Stowe; Justin H. Carmel; Michael W. Klymkowsky; Melanie M. Cooper – Journal of Chemical Education, 2023
It is generally accepted that if a course or curricular transformation is to be implemented with fidelity, the users must understand how and why the transformation is different from their current practices and which aspects of the transformation are essential to achieving comparable student learning outcomes. In this article, we provide a detailed…
Descriptors: Chemistry, Science Curriculum, Curriculum Development, Curriculum Implementation
Alfredo J. Leon; Dinesh Vidhani – Journal of Chemical Education, 2023
Artificial intelligence (AI) technology has the potential to revolutionize the education sector. This study sought to determine the efficacy of ChatGPT to correctly answer questions a learner would use and to elucidate how the AI was processing potential prompts. Our goal was to evaluate the role of prompt formats, response consistency, and…
Descriptors: Artificial Intelligence, Educational Technology, Program Effectiveness, Prompting
Yajuan Si; Roderick J. A. Little; Ya Mo; Nell Sedransk – Journal of Educational and Behavioral Statistics, 2023
Nonresponse bias is a widely prevalent problem for data on education. We develop a ten-step exemplar to guide nonresponse bias analysis (NRBA) in cross-sectional studies and apply these steps to the Early Childhood Longitudinal Study, Kindergarten Class of 2010-2011. A key step is the construction of indices of nonresponse bias based on proxy…
Descriptors: Educational Assessment, Response Rates (Questionnaires), Bias, Children
Tiantian Sun; Ryan Bowles; Sarah N. Douglas; Joshua Plavnick – Grantee Submission, 2023
Children with complex communication needs (CCN) who use augmentative and alternative communication (AAC) often need more time to process and respond when communicating with others. This study employed a survival analysis approach exploring child response-time patterns following different communication opportunities for young children with CCN who…
Descriptors: Communication Problems, Augmentative and Alternative Communication, Reaction Time, Individual Differences
Tiantian Sun; Ryan Bowles; Sarah N. Douglas; Joshua Plavnick – Exceptional Children, 2023
Children with complex communication needs (CCN) who use augmentative and alternative communication (AAC) often need more time to process and respond when communicating with others. This study employed a survival analysis approach exploring child response-time patterns following different communication opportunities for young children with CCN who…
Descriptors: Communication Problems, Augmentative and Alternative Communication, Reaction Time, Individual Differences
Mark L. Davison; David J. Weiss; Joseph N. DeWeese; Ozge Ersan; Gina Biancarosa; Patrick C. Kennedy – Journal of Educational and Behavioral Statistics, 2023
A tree model for diagnostic educational testing is described along with Monte Carlo simulations designed to evaluate measurement accuracy based on the model. The model is implemented in an assessment of inferential reading comprehension, the Multiple-Choice Online Causal Comprehension Assessment (MOCCA), through a sequential, multidimensional,…
Descriptors: Cognitive Processes, Diagnostic Tests, Measurement, Accuracy
Roach, Susan J. – ProQuest LLC, 2023
This case study investigated first-year composition students' perceptions of instructors' written feedback. Participants reported on their understanding of the role of feedback, how they processed feedback, and if and how they used it. Thirty-one participants completed a short online survey; the responses were analyzed to identify students who…
Descriptors: College Freshmen, Freshman Composition, Writing Evaluation, Feedback (Response)
Huachizaca, Viviana; Yambay-Armijos, Karen – Journal of Applied Research in Higher Education, 2023
Purpose: This quasi-experimental study examined the effectiveness of audio-visual and written feedback (AVF + WF) on undergraduate students versus only receiving WF in the context of an English as a Foreign Language (EFL) online classroom during the coronavirus disease 2019 (COVID-19) lockdown. Design/Methodology/Approach: The study used the…
Descriptors: Feedback (Response), Writing Skills, Undergraduate Students, Written Language
Megan Powell Cuzzolino; Tina A. Grotzer; Jingyi Xu – Review of Research in Education, 2023
In this review, we use the metaphor of a "fast fish" to illustrate the importance of contextualized agency, which assumes that learners must (a) be centrally agentive in their own learning; (b) be able to act on and modify the cognitive, physical, social, and emotional contexts of their learning to support their best performance; and (c)…
Descriptors: Student Centered Learning, Educational Principles, Feedback (Response), Transfer of Training
JoAnn Valderas – ProQuest LLC, 2023
The purpose of this qualitative study was to examine teacher perceptions of the evaluation process including informal walkthroughs and administrator feedback in South Texas rural schools to determine whether teachers felt that there was a connection to teacher effectiveness and student achievement. The findings of this study may assist…
Descriptors: Rural Schools, Institutional Evaluation, Teacher Attitudes, Faculty Development
Kaitlin R. Sibbald; Diane E. MacKenzie; Jonathan Harris – Journal of Occupational Therapy Education, 2023
Simulation is increasingly used in occupational therapy education with the objectives of developing practice skill competency and enhancing clinical reasoning. Debriefing, an integral part of the simulation process, is critical to achieving these objectives. This study sought to determine the types of debrief feedback Master of Science in…
Descriptors: Occupational Therapy, Allied Health Occupations Education, Student Attitudes, Feedback (Response)
Sumie Chan; Noble Lo; Alan Wong – rEFLections, 2024
This study investigates the impact of feedback generated by large language models (LLMs) on improving the essay-writing skills of first-year university students in Hong Kong. Specifically, it examines how generative AI supports students in revising their essays, enhances engagement with writing tasks, and influences their emotional responses…
Descriptors: Artificial Intelligence, Natural Language Processing, Essays, Automation
Sara Scrimin; Paolo Girardi; Libera Ylenia Mastromatteo – Social Psychology of Education: An International Journal, 2025
Student-teacher interactions capture bystanders' attention causing an emotional arousal that takes away the focus of attention form the assigned task. To assess attentional and emotional response to socio-emotional interactions within the classroom, student's eye movement and dilatation were registered while investigating children's environmental…
Descriptors: Student Characteristics, Attention, Emotional Response, Teacher Student Relationship