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Lauren A. Mason; Abigail Miller; Gregory Hughes; Holly A. Taylor – Cognitive Research: Principles and Implications, 2025
False alarming, or detecting an error when there is not one, is a pervasive problem across numerous industries. The present study investigated the role of elaboration, or additional information about non-error differences in complex visual displays, for mitigating false error responding. In Experiment 1, learners studied errors and non-error…
Descriptors: Error Correction, Error Patterns, Evaluation Methods, Visual Aids
Rachael Ruegg; Jennifer Yphantides – Higher Education Quarterly, 2025
Although an increasing amount of research has focussed on the relationship between student language proficiency and English-medium instruction (EMI) programme outcomes, there has been little focus on the broader assessment of progress and learning within EMI programmes, especially in Asia. The purpose of this study was to determine the kinds of…
Descriptors: Foreign Countries, Language of Instruction, English (Second Language), Program Evaluation
Janea J. Thibodeaux; Pierce M. Taylor; Janelle K. Bacotti; Samuel L. Morris – Journal of Applied Behavior Analysis, 2025
Many researchers have evaluated how characteristics of feedback may influence trainee performance, but relatively little attention has been allocated to directly assessing trainee preference for feedback characteristics and its relation to performance. Thus, the primary purpose of this study was to use a within-subject experimental design to…
Descriptors: Undergraduate Students, Feedback (Response), Difficulty Level, Learning Strategies
Jan Gunis; L'ubomir Snajder; L'ubomir Antoni; Peter Elias; Ondrej Kridlo; Stanislav Krajci – IEEE Transactions on Education, 2025
Contribution: We present a framework for teachers to investigate the relationships between attributes of students' solutions in the process of problem solving or computational thinking. We provide visualization and evaluation techniques to find hidden patterns in the students' solutions which allow teachers to predict the specific behavior of…
Descriptors: Artificial Intelligence, Educational Games, Game Based Learning, Problem Solving
Reese Butterfuss; Harold Doran – Educational Measurement: Issues and Practice, 2025
Large language models are increasingly used in educational and psychological measurement activities. Their rapidly evolving sophistication and ability to detect language semantics make them viable tools to supplement subject matter experts and their reviews of large amounts of text statements, such as educational content standards. This paper…
Descriptors: Alignment (Education), Academic Standards, Content Analysis, Concept Mapping
Melissa Raspa; Angela Gwaltney; Carla Bann; Jana von Hehn; Timothy A. Benke; Eric D. Marsh; Sarika U. Peters; Amitha Ananth; Alan K. Percy; Jeffrey L. Neul – Journal of Autism and Developmental Disorders, 2025
Rett syndrome is a severe neurodevelopmental disorder that affects about 1 in 10,000 females. Clinical trials of disease modifying therapies are on the rise, but there are few psychometrically sound caregiver-reported outcome measures available to assess treatment benefit. We report on a new caregiver-reported outcome measure, the Rett Caregiver…
Descriptors: Neurodevelopmental Disorders, Genetic Disorders, Females, Test Validity
Hanna Weiers; Sohnia Ghattaura; Gaia Scerif; Francesco Sella; Victoria Simms; Iro Xenidou-Dervou; Camilla Gilmore – Infant and Child Development, 2025
When children are aged around 2 years, many of the early foundations of mathematical skills are developing. Understanding this is important to shed light on theories of mathematical development. Nevertheless, little research has investigated 2-year-olds' early mathematical abilities, with most research focussing on either infants (aged 0-1 years)…
Descriptors: Toddlers, Mathematical Aptitude, Mathematics Achievement, Mathematics Skills
A. Gigli; G. Melotti; C. Borelli; M. Galiazzo; N. Segato; G. Finocchiaro – Journal of Adventure Education and Outdoor Learning, 2025
This paper presents a new integrated model for documentation and evaluation tested in 2021 on Back Into the Wild project, an Adventure Education project by Equilibero Association (Padova-Treviso, Italy). The project proposes educational walks to groups of at-risk adolescents to promote their psychophysical and relational well-being. Due to the…
Descriptors: Outdoor Education, Adventure Education, Adolescents, Program Evaluation
Marianne Miserandino – Teaching of Psychology, 2025
Introduction: Artificial intelligence (AI) presents challenges and opportunities for higher education. The challenge is to incorporate the benefits of AI while minimizing its potential for misuse and undermining of learning. The opportunity is that AI allows instructors to assess learning authentically by fostering creative, engaging, realistic,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Evaluation Methods, Undergraduate Study
Katy Myers – Learning Professional, 2025
Students have powerful but underutilized perspectives on the impact of educators' professional learning. When students are directly engaged in providing feedback, they can offer unique insights into how professional learning translates into classroom practice and affects their learning experience. Incorporating student feedback also helps…
Descriptors: Student Participation, Feedback (Response), Faculty Development, Teacher Effectiveness
Oktay Ülker; Daniel Bodemer – Cognitive Research: Principles and Implications, 2025
Remembering information about others is important but challenging in various social contexts. For instance, in long-term collaborative educational settings, students often need to choose peers for academic support. In different contexts, the selection process can depend on group awareness, i.e., the state of being informed about relevant social or…
Descriptors: Cooperative Learning, Selection, Memory, Student Participation
Aneesha Badrinarayan – Learning Policy Institute, 2025
Since the rise of state assessments whose primary function is to yield scores that can be used to compare schools and groups of students, most states have developed their state assessment programs under the assumption that either: (a) state tests are not intended to meaningfully shape instruction, or (b), if they are, the information provided in…
Descriptors: Measurement, Student Evaluation, Evaluation Methods, Relevance (Education)
Carla Martinho; Jaime Carvalho e. Silva – International Journal of Mathematical Education in Science and Technology, 2025
The academic success of students in higher education institutions (HEIs) depends on a multitude of factors, including the assessment strategies employed. In recent years, many HEIs have prioritised continuous assessment methods, often as a complement to or replacement for traditional final exams. This study examined the impact of two assessment…
Descriptors: Student Evaluation, Evaluation Methods, Business Education, Learner Engagement
Alina Oschwald; Julia Moeller; Bärbel Kracke; Jaana Viljaranta; Julia Dietrich – British Journal of Educational Psychology, 2025
Theoretical Background: Previous studies indicate that students' learning motivation varies across learning situations and is influenced by situational characteristics such as teaching behaviour. We focus on instructional clarity as one factor that may influence expectancies and task values. Aims and Research Questions: This study combines a…
Descriptors: Learning Motivation, Preservice Teachers, Expectation, Student Evaluation of Teacher Performance
Jade Kim; Elena Danilina – Innovations in Education and Teaching International, 2025
Since higher education institutions aim to promote social justice through equity, diversity, and inclusion (EDI), educators have raised concerns about the equitable and inclusive implementation of AI-based assessment practices in academic writing for multilingual students, who have been historically disenfranchised. Using academic literacies and…
Descriptors: Multilingualism, Higher Education, College Students, Artificial Intelligence