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Jonas Elis; Achim Goerres; Sabrina J. Mayer; Dennis C. Spies – International Journal of Social Research Methodology, 2024
For hard-to-survey populations such as ethnic minorities and immigrants, increasing survey response rates is a crucial element of the fieldwork as these populations often show a higher likelihood of not participating compared with the native population. However, no study has so far compared different strategies for mobilisation within this group.…
Descriptors: Foreign Countries, Elections, College Students, Mail Surveys
Leveraging Large Language Models to Generate Course-Specific Semantically Annotated Learning Objects
Dominic Lohr; Marc Berges; Abhishek Chugh; Michael Kohlhase; Dennis Müller – Journal of Computer Assisted Learning, 2025
Background: Over the past few decades, the process and methodology of automatic question generation (AQG) have undergone significant transformations. Recent progress in generative natural language models has opened up new potential in the generation of educational content. Objectives: This paper explores the potential of large language models…
Descriptors: Resource Units, Semantics, Automation, Questioning Techniques
Babita Maharjan; Pushpa Kumari Sunar; Niroj Dahal; Binod Prasad Pant; Netra Kumar Manandhar – Journal of Interdisciplinary Studies in Education, 2025
Reflective practice enables teachers to examine their personal and professional actions and learn from their lived experiences. The study explores teachers' conceptualizations of reflective practice, its applications, challenges, and opportunities for being and becoming professionals. The overarching research question guides this article--how do…
Descriptors: Foreign Countries, High School Teachers, College Faculty, Reflective Teaching
Shimmei, Machi; Matsuda, Noboru – International Educational Data Mining Society, 2023
We propose an innovative, effective, and data-agnostic method to train a deep-neural network model with an extremely small training dataset, called VELR (Voting-based Ensemble Learning with Rejection). In educational research and practice, providing valid labels for a sufficient amount of data to be used for supervised learning can be very costly…
Descriptors: Artificial Intelligence, Training, Natural Language Processing, Educational Research
Soysal, Yilmaz; Soysal, Somayyeh – ECNU Review of Education, 2023
Purpose: This study explores the relationships between the cognitive demands of the questions asked by a teacher educator (TE) and prospective teachers' (PT) capacity for critical thinking (CT). Design/Approach/Methods: Participants comprised a TE and 32 PTs. The cognitive demands of the TE's questions and PTs' CT were analyzed using a systematic…
Descriptors: Teacher Educators, Preservice Teachers, Critical Thinking, Thinking Skills
Jones, Ruan Jon; Mckeever, Jonathon Thomas; Morley, David – European Physical Education Review, 2023
Work considering the influence of power dynamics and potential confounders such as social status is beginning to receive more attention in physical education literature. While power dynamics deserve particular attention in student-centred and social constructivist pedagogies, exploration of this topic has largely escaped the grasp of Game-Based…
Descriptors: Game Based Learning, Educational Games, Power Structure, Physical Education
Hamilton, Kristy A.; Siler, Jessica; Benjamin, Aaron S. – Applied Cognitive Psychology, 2023
When responding to queries for information, people control the grain size (precision-coarseness) of the information they communicate based on competing goals of accuracy and informativeness (Goldsmith & Koriat, "Behavioral and Brain Sciences," 1999, 19, 167). Two experiments examined whether the act of searching for answers using the…
Descriptors: Internet, Information Seeking, Online Searching, Questioning Techniques
Van Zoest, Laura R.; Stockero, Shari L.; Peterson, Blake E.; Leatham, Keith R. – Mathematics Teacher: Learning and Teaching PK-12, 2023
In their work, the authors study what it looks like to build on a high-leverage student mathematical contribution--one that provides an in-the-moment opportunity to engage the class in joint sense making about the contribution to better understand the important mathematics within it. They have noticed that some "go-to" teacher practices…
Descriptors: Mathematics Instruction, Mathematics Education, Elementary Secondary Education, Educational Practices
Finney, Sara J. – Online Submission, 2023
Student affairs educators are asked fundamental questions about programming and its effectiveness. Stakeholders (e.g., students, parents, accreditors) ask what programming (e.g., activities, strategies, curriculum) is offered, "why" it is offered, and "who" benefits in terms of learning and development (e.g., Carpenter, 2001;…
Descriptors: Outcome Measures, College Outcomes Assessment, Student Personnel Workers, Student Personnel Services
Kucherenko, Svitlana; Rydland, Veslemøy; Grøver, Vibeke – Early Education and Development, 2023
Research Findings: This study used sequential analysis to investigate teachers' use of literal and inferential questions and their relation to children's responses during small-group shared reading in preschool. Participants were 202 dual-language learners (age 3-5 years) and 53 preschool teachers in multiethnic preschool classrooms in Norway.…
Descriptors: Inferences, Questioning Techniques, Reading Strategies, Preschool Children
Abdulrahman Alhayyan – ProQuest LLC, 2023
Teachers' questioning is a key practice that influences student learning, yet not all teachers' questioning is equally effective, and fine-grained analyses uncovering the details of teachers' questioning are scarce. My study investigated the types of questions asked by three in-service elementary school math teachers, the associated levels of…
Descriptors: Teaching Methods, Questioning Techniques, Elementary School Teachers, Mathematics Teachers
Alberto Testoni; Raffaella Bernardi; Azzurra Ruggeri – Cognitive Science, 2023
In recent years, a multitude of datasets of human-human conversations has been released for the main purpose of training conversational agents based on data-hungry artificial neural networks. In this paper, we argue that datasets of this sort represent a useful and underexplored source to validate, complement, and enhance cognitive studies on…
Descriptors: Questioning Techniques, Cognitive Science, Natural Language Processing, Data Use
Voss, Sarah; Kruse, Jerrid; Kent-Schneider, Isaiah – Research in Science Education, 2022
Explicit-reflective nature of science (NOS) instruction has demonstrated a positive impact on student learning. Although explicit-reflective NOS instruction often consists of questions that draw students' attention to NOS ideas, there are few recommendations in the science education literature about how the form of these questions might inform NOS…
Descriptors: Scientific Principles, Science Education, Science Instruction, Scientific Methodology
Stokhof, Harry; Meli, Kalliopi; Lavidas, Konstantinos; Grammenos, Dimitrios – Electronic Journal of e-Learning, 2022
This study explores the factors that influence experts' regular contribution to educational community question-answering (CQA) platforms. Providing answers is essential for sharing knowledge on CQA platforms, but it also affects learners' progressive inquiry. Therefore, the purpose of this study is to develop and test a theoretical model that aims…
Descriptors: Expertise, Behavior Theories, Computer Mediated Communication, Questioning Techniques
Monteleone, Chrissy – Mathematics Education Research Group of Australasia, 2022
This paper examines the types of teacher questions that assist young students to interpret and explain their critical mathematical thinking (CMT). Focusing on students who enter their first year of formal schooling (aged 5-6 years), this paper draws on data from a one-on-one task based clinical interview conducted with 16 students. Teacher…
Descriptors: Questioning Techniques, Critical Thinking, Mathematics Education, Prompting