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Direct linkDykema, Jennifer; Assad, Nadia; Sanchez-Diettert, Griselle; Elver, Kelly; Stevenson, John – Field Methods, 2019
Best practices in mail survey design advise personalizing correspondence, but most research predates the use of address-based sampling (ABS) in which a householder's name either cannot be matched to an address or may be matched incorrectly. Further, recent evidence casts doubt on the effectiveness of personalization. The current study examines the…
Descriptors: Response Rates (Questionnaires), Mail Surveys, Letters (Correspondence), Sampling
Johnson, Michael Lee; Sedory, Stephen A.; Singh, Sarjinder – Sociological Methods & Research, 2019
In this article, alternative randomized response models are proposed, which make use of sum of quantitative scores generated from two decks of cards being used in a survey. The proposed methods are compared to the Odumade and Singh and Singh and Grewal models through a simulation study. It is shown that the modified methods can be used more…
Descriptors: Scores, Surveys, Responses, Models
Cariveau, Tom; La Cruz Montilla, Astrid; Gonzalez, Elizabeth; Ball, Sydney – Journal of Applied Behavior Analysis, 2019
Error correction procedures are remedial strategies presented following an incorrect response that increases the probability that a correct response will occur in the future. Error correction is commonly used during skill acquisition programs for children with developmental disabilities; however, the specific strategy used may differ considerably.…
Descriptors: Error Correction, Developmental Disabilities, Children, Skill Development
Frank-Crawford, Michelle A.; Borrero, John C.; Newcomb, Eli T.; Chen, Ting; Schmidt, Jonathan D. – Journal of Behavioral Education, 2019
We evaluated preference for and efficacy of distributed and accumulated response--reinforcer arrangements during discrete-trial teaching for unmastered tasks. During the distributed arrangement, participants received 30-s access to a reinforcer after each correct response. During accumulated arrangements, access was accrued throughout the work…
Descriptors: Reinforcement, Skill Development, Preferences, Teacher Response
Walker, Rebecca; Oliver, Rhonda; Mackenzie, Ross – Issues in Educational Research, 2020
Students are a key part of the learning and teaching feedback process. Hence their understandings, experiences and perceptions can provide valuable contributions in the identification of effective feedback practices. This paper reports on a study conducted within a larger research project which examined secondary school students' perceptions of…
Descriptors: Public Schools, Urban Schools, Feedback (Response), Learning
Kavanagh, Sarah Schneider; Metz, Mike; Hauser, Mary; Fogo, Brad; Taylor, Megan Westwood; Carlson, Janet – Journal of Teacher Education, 2020
As practice-based teacher education (PBTE) has become more prevalent, debates about its contribution have emerged. Critics of PBTE question whether emphasizing practice will support a technocratic approach to teacher education rather than promoting instruction that is responsive to students' ideas. This qualitative case study was motivated by an…
Descriptors: Teacher Student Relationship, Teacher Response, Beginning Teachers, Inservice Teacher Education
Download full textAndrew Thomas-James Moos – Journal of Response to Writing, 2020
As recent studies have shown (Ferris, 2014; Reid, Estrem, & Belcheir, 2012), formalized types of pedagogical instruction may be less effective for new instructors than previously thought. As new instructors form beliefs about responding to student writing through their first years of teaching and training, they may continue to rely heavily on…
Descriptors: Informal Education, Graduate Students, Teaching Assistants, Student Attitudes
Svenja Woitt; Joshua Weidlich; Ioana Jivet; Derya Orhan Göksün; Hendrik Drachsler; Marco Kalz – Teaching in Higher Education, 2025
Given the crucial role of feedback in supporting learning in higher education, understanding the factors influencing feedback effectiveness is imperative. Student feedback literacy, that is, the set of attitudes and abilities to make sense of and utilize feedback is therefore considered a key concept. Rigorous investigations of feedback literacy…
Descriptors: Feedback (Response), Higher Education, Multiple Literacies, Teacher Effectiveness
Seth J. Schwartz; Beyhan Ertanir; Audrey Harkness; Byron L. Zamboanga; Melissa L. Bessaha; John B. Bartholomew; Alan Meca; Minas Michikyan; Maria Duque; Pablo Montero-Zamora; Claudia López-Madrigal; Linda G. Castillo; Miguel Ángel Cano; Kaveri Subrahmanyam; Brandy Piña-Watson; Pamela Regan; Lindsay S. Ham; Marissa K. Hanson; Charles R. Martinez Jr. – Journal of American College Health, 2025
Objective: We examined the role of personal identity vis-à-vis COVID-related outcomes among college students from seven U.S. campuses during spring/summer 2021. Participants: The present sample consisted of 1,688 students (74.5% female, age range 18-29). The sample was ethnically diverse, and 57.3% were first-generation students. Procedures:…
Descriptors: COVID-19, Pandemics, College Students, Self Concept
Süleyman Avci; Mustafa Ozgenel; Mustafa Cakir; Suat Yapici – International Journal of Psychology and Educational Studies, 2025
This research aims to adapt the Teachers Homework Reasons scale into Turkish and develop the Teachers Homework Feedback Frequency scale. The study involved 475 primary, secondary, and high school teachers from northeastern Turkey, with an average age of 41.25 years and an equal gender distribution. The sample was divided into two sub-groups: one…
Descriptors: Measures (Individuals), Test Construction, Homework, Teacher Attitudes
Mary Rice; Nicholas DePascal; Joaquín T. Argüello de Jesús; Helen McFeely; Amy Traylor; Lehman Heaviland – Professional Development in Education, 2025
With the introduction of artificial intelligence (AI), particularly Generative AI (GenAI) to school settings, teachers are likely to be drawn into professional learning scenarios where they will be expected to learn how to use programs and applications for remediation and tutoring of children. Previous research highlights how professional learning…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Uladzimir K. Slabin – International Baltic Symposium on Science and Technology Education, 2025
As science education faces the urgent task of rehumanization amid growing technocratic rationality, scientific eponyms, especially in literary contexts, offer a potential of rehumanization for value-based science education. To explore this potential, selected passages referencing the eponym "Landolt tables" from the short story…
Descriptors: Chemistry, Science Education, Italian, English (Second Language)
Robert F. Mauldin – Journal of College Science Teaching, 2025
Preliminary evidence regarding the effectiveness of a participation-based, formative assessment pedagogy in the laboratory component of undergraduate science classes is presented in this paper. The formative approach to teaching lab is unique in science education given the prevailing paradigm of summative assessment via grading lab reports. The…
Descriptors: Teaching Methods, Science Instruction, Laboratory Experiments, Chemistry
Roger Young; Emily Courtney; Alexander Kah; Mariah Wilkerson; Yi-Hsin Chen – Teaching of Psychology, 2025
Background: Multiple-choice item (MCI) assessments are burdensome for instructors to develop. Artificial intelligence (AI, e.g., ChatGPT) can streamline the process without sacrificing quality. The quality of AI-generated MCIs and human experts is comparable. However, whether the quality of AI-generated MCIs is equally good across various domain-…
Descriptors: Item Response Theory, Multiple Choice Tests, Psychology, Textbooks
Susanne Walan – International Journal of Technology and Design Education, 2025
Since the end of 2022, global discussions on Artificial Intelligence (AI) have surged, influencing diverse societal groups, such as teachers, students and policymakers. This case study focuses on Swedish primary school students aged 11-12. The aim is to examine their cognitive and affective perceptions of AI and their current usage. Data,…
Descriptors: Foreign Countries, Elementary School Students, Artificial Intelligence, Student Attitudes
