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Fabian Hutmacher; Beate Conrad; Markus Appel; Stephan Schwan – Cognitive Research: Principles and Implications, 2025
Autobiographical remembering may undergo significant transformations in the digital age, in which the omnipresence of digital tools has led to an increased density of recorded life episodes. To gain deeper insights into these processes, we conducted an experimental think-aloud study in which participants (N = 41) had to remember an important day…
Descriptors: Protocol Analysis, Memory, Information Technology, Autobiographies
Gregory T. Boldt; James C. Kaufman – Journal of Creative Behavior, 2025
Most research on the creative process has focused on idea generation, and the prevalence and influence of many other creative subprocesses remain poorly understood. To clarify different subprocesses' respective roles in creative work, this study investigated their frequencies and associations with creativity-related personal characteristics and…
Descriptors: Creativity, Cognitive Processes, Undergraduate Students, Student Characteristics
Charles S. Dingus; Robbie J. Hanson; Caio F. Miguel; Sydney Stern; Denys Brand – Analysis of Verbal Behavior, 2025
Successive matching-to-sample (S-MTS) with a go/no-go response requirement has previously produced equivalence classes with nonverbal auditory stimuli among college students. When participants are required to talk aloud during posttests (protocol analysis), their verbal behavior tends to match their selection performance. However, in some cases,…
Descriptors: Pretests Posttests, Protocol Analysis, Verbal Communication, College Students
Sarah E. Carlson; Virginia Clinton-Lisell; Terrill Taylor; Heather Ness-Maddox; Amanda Dahl; Mark L. Davison; Ben Seipel – Journal of Psycholinguistic Research, 2025
The purpose of this study was to validate a novel reading comprehension assessment for college students named MOCCA-College. A random sample of college students (N = 63, average age of 22.5) were recruited from various education programs (e.g., first-year courses, TRIO, SONA) and completed MOCCA-College Online and were later recruited to complete…
Descriptors: Reading Comprehension, Reading Tests, College Students, Test Validity
Ibrahim Albluwi; Raghda Hriez; Raymond Lister – ACM Transactions on Computing Education, 2025
Explain-in-Plain-English (EiPE) questions are used by some researchers and educators to assess code reading skills. EiPE questions require students to briefly explain (in plain English) the purpose of a given piece of code, without restating what the code does line-by-line. The premise is that novices who can explain the purpose of a piece of code…
Descriptors: Questioning Techniques, Programming, Computer Science Education, Student Evaluation
Pakiso J. Khomokhoana; Rouxan C. Fouché; Tlholohelo S. Nkalai – Discover Education, 2025
Unified Modelling Language (UML) class diagrams are standard tools in software engineering education, typically analysed for syntactical correctness rather than their communicative dimensions. This study applies semiotic theory to investigate how first-year Bachelor of Computer Information Systems students engage with UML class diagrams as…
Descriptors: Semiotics, Programming Languages, Computer Software, Information Systems
Shan Li; Xiaoshan Huang; Tingting Wang; Juan Zheng; Susanne P. Lajoie – Journal of Computing in Higher Education, 2025
Coding think-aloud transcripts is time-consuming and labor-intensive. In this study, we examined the feasibility of predicting students' reasoning activities based on their think-aloud transcripts by leveraging the affordances of text mining and machine learning techniques. We collected the think-aloud data of 34 medical students as they diagnosed…
Descriptors: Information Retrieval, Artificial Intelligence, Prediction, Abstract Reasoning
Ling Zhang; Naiqing Song; Guowei Wu; Jinfa Cai – Educational Studies in Mathematics, 2025
This study concerns the cognitive process of mathematical problem posing, conceptualized in three stages: understanding the task, constructing the problem, and expressing the problem. We used the eye tracker and think-aloud methods to deeply explore students' behavior in these three stages of problem posing, especially focusing on investigating…
Descriptors: Cognitive Processes, Mathematics Skills, Problem Solving, Eye Movements
Conrad Borchers; Hendrik Fleischer; David J. Yaron; Bruce M. McLaren; Katharina Scheiter; Vincent Aleven; Sascha Schanze – Journal of Science Education and Technology, 2025
Intelligent tutoring system (ITS) provides learners with step-by-step problem-solving support through scaffolding. Most ITSs have been developed in the USA and incorporate American instructional strategies. How do non-American students perceive and use ITS with different native problem-solving strategies? The present study compares Stoich Tutor,…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Learning Strategies, Protocol Analysis
Elizabeth B. Cloude; Rachel Chapman; Roger Azevedo; Analia Castiglioni; Jeffrey LaRochelle; Caridad Hernandez; Dario Torre – Instructional Science: An International Journal of the Learning Sciences, 2025
Expertise plays a significant role in shaping self-regulated learning (SRL) by influencing how individuals set goals, monitor progress, employ strategies, and reflect on their learning process. However, comprehensive data on this link is sparse in medical contexts. This paper investigates the transitions of SRL phases during clinical-reasoning…
Descriptors: Novices, Expertise, Independent Study, Medical Evaluation
Shelley K. Lund; Wendy Quach; Kristy Weissling; Miechelle McKelvey – Language, Speech, and Hearing Services in Schools, 2025
Purpose: Previous research has shown that many speech-language pathologists (SLPs) lack confidence in conducting augmentative and alternative communication (AAC) evaluations. The AAC Clinical Assessment Project team developed a protocol to help guide SLPs to complete AAC assessments for children with autism spectrum disorder (ASD). This article…
Descriptors: Augmentative and Alternative Communication, Autism Spectrum Disorders, Speech Language Pathology, Allied Health Personnel
Deb Brosseuk; Phillip Poulton – Curriculum Journal, 2025
The curriculum reform in New South Wales (NSW), Australia, focuses on implementing high-quality, evidence-based instruction, particularly explicit teaching and the gradual release of responsibility. This paper examines the 'quality' of writing instruction in the new curriculum materials for Kindergarten to Year 6 teachers. Our document analysis of…
Descriptors: Writing Instruction, Instructional Materials, Curriculum Development, Educational Change
Sharon M. Pratt; Tracey S. Hodges – Literacy Research and Instruction, 2025
Teachers understand the importance of think-alouds, yet research shows that think-alouds may be used ineffectively in practice. Often, this results from the difficulty of explicitly sharing the inner thought processes of competent readers and writers in transferable ways for students. To our knowledge, a tool for helping preservice teachers…
Descriptors: Protocol Analysis, Preservice Teacher Education, Preservice Teachers, Reading Instruction
Seung Hee Choi; Thomas Templin; Anna Marrocco – Journal of American College Health, 2025
Objective To develop an online discrete choice experiment (DCE) to elicit preferences for the format and content of tobacco treatment and determine the feasibility of the survey in face-to-face online interviews among college students. format content Participants A convenience sample of 28 college students. Methods A pilot online DCE survey with…
Descriptors: College Students, Preferences, Smoking, Intervention
Jessica R. Toste; Marissa J. Filderman; Nathan H. Clemens; Erica Fry – Journal of Learning Disabilities, 2025
Data-based instruction (DBI) is a process in which teachers use progress data to make ongoing instructional decisions for students with learning disabilities. Curriculum-based measurement (CBM) is a common form of progress monitoring, and CBM data are placed on a graph to guide decision-making. Despite the central role that graph interpretation…
Descriptors: Preservice Teachers, Data Use, Decision Making, Progress Monitoring
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