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Imundo, Megan; McEldoon, Katherine – Pearson, 2023
Pearson's Learning Foundations describe the optimal conditions for learning and reflect the learner experience Pearson hopes their products will create. Pearson does this by incorporating the Learning Design Principles. Each of the Learning Design Principles goes into detail about a key principle, supporting product design and marketing by…
Descriptors: Difficulty Level, Scaffolding (Teaching Technique), Research and Development, Theory Practice Relationship
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Gyamfi, Abraham; Acquaye, Rosemary – Acta Educationis Generalis, 2023
Introduction: Item response theory (IRT) has received much attention in validation of assessment instrument because it allows the estimation of students' ability from any set of the items. Item response theory allows the difficulty and discrimination levels of each item on the test to be estimated. In the framework of IRT, item characteristics are…
Descriptors: Item Response Theory, Models, Test Items, Difficulty Level
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Ruf, Alessia; Zahn, Carmen; Roos, Anna-Lena; Opwis, Klaus – Educational Technology Research and Development, 2023
Videos are an increasingly popular medium for supporting learning in various educational settings. Nowadays, newly designed video-based environments contain enhanced tools that allow for specific interactions with video materials (such as adding annotations and hyperlinks) which may well support generative learning and conceptual understanding.…
Descriptors: Educational Technology, Video Technology, Learning Processes, Concept Formation
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Kam, Chester Chun Seng – Educational and Psychological Measurement, 2023
When constructing measurement scales, regular and reversed items are often used (e.g., "I am satisfied with my job"/"I am not satisfied with my job"). Some methodologists recommend excluding reversed items because they are more difficult to understand and therefore engender a second, artificial factor distinct from the…
Descriptors: Test Items, Difficulty Level, Test Construction, Construct Validity
Roger Anthony White – ProQuest LLC, 2023
The purpose of this transcendental phenomenological study was to describe the experiences of history doctoral candidates at Liefrig University with technology and information overload. The theory guiding this study was Sweller's cognitive load theory, as it explains the characteristics of the information received using technology and the effect of…
Descriptors: History Instruction, Doctoral Students, Cognitive Processes, Difficulty Level
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Aisling Mulvihill; Natasha Matthews; Paul E. Dux; Annemaree Carroll – Journal of Child Language, 2023
Private speech is a cognitive tool to guide thinking and behavior, yet its regulatory use in atypical development remains equivocal. This study investigated the influence of task difficulty on private speech in preschool children with attention or language difficulties. Measures of private speech use, form and content were obtained while 52…
Descriptors: Preschool Children, At Risk Persons, Task Analysis, Difficulty Level
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Nawaz, Sadia; Srivastava, Namrata; Yu, Ji Hyun; Khan, Anam Ahmad; Kennedy, Gregor; Bailey, James; Baker, Ryan Shaun – International Journal of Artificial Intelligence in Education, 2022
Task difficulty (TD) reflects students' subjective judgement on the complexity of a task. We examine the TDs data of 236 undergraduate students in a simulation-based "Predict-Observe-Explain (POE)" environment using three different labels "easy," "medium" and "hard." Generally, the students who perceive the…
Descriptors: Difficulty Level, Undergraduate Students, Simulated Environment, Student Behavior
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Pelánek, Radek; Effenberger, Tomáš; Cechák, Jaroslav – International Journal of Artificial Intelligence in Education, 2022
Complexity and difficulty are two closely related but distinct concepts. These concepts are important in the development of intelligent learning systems, e.g., for sequencing items, student modeling, or content management. We show how to use complexity and difficulty measures in the development of learning systems and provide guidance on how to…
Descriptors: Difficulty Level, Intelligent Tutoring Systems, Measurement Techniques, Computer System Design
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Nedungadi, Sachin; Rinco Michels, Olga; Kreke, Patricia J.; Raker, Jeffrey R.; Murphy, Kristen L. – Journal of Chemical Education, 2022
Practice examinations developed at the ACS Examinations Institute ask students to self-report mental effort when answering items. This self-reported mental effort together with performance can be represented in the form of a cognitive efficiency graph for each student giving information on the utilization of cognitive resources and content…
Descriptors: Cognitive Processes, Science Tests, Test Items, Difficulty Level
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Liang, Garston; Sloane, Jennifer F.; Donkin, Christopher; Newell, Ben R. – Cognitive Research: Principles and Implications, 2022
In three experiments, we sought to understand when and why people use an algorithm decision aid. Distinct from recent approaches, we explicitly enumerate the algorithm's accuracy while also providing summary feedback and training that allowed participants to assess their own skills. Our results highlight that such direct performance comparisons…
Descriptors: Decision Support Systems, Accuracy, Difficulty Level, Feedback (Response)
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Barbrook-Johnson, Pete; Carrick, Jayne – International Journal of Social Research Methodology, 2022
Research methods with roots in complexity science are increasingly popular in social research. However, they are not widespread and have potential to deliver value more fully and consistently to social research and methodology. One reason for this is that methods are often used alone, or only with traditional social research methods. We attempt to…
Descriptors: Social Science Research, Research Methodology, Difficulty Level, Simulation
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Sweeney, Sandra M.; Sinharay, Sandip; Johnson, Matthew S.; Steinhauer, Eric W. – Educational Measurement: Issues and Practice, 2022
The focus of this paper is on the empirical relationship between item difficulty and item discrimination. Two studies--an empirical investigation and a simulation study--were conducted to examine the association between item difficulty and item discrimination under classical test theory and item response theory (IRT), and the effects of the…
Descriptors: Correlation, Item Response Theory, Item Analysis, Difficulty Level
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Mirjana Maricic; Branko Andic; Soeharto Soeharto; Filiz Mumcu; Stanko Cvjeticanin; Zsolt Lavicza – Education and Information Technologies, 2025
According to the theoretical frameworks and teaching practice, the constructs of the Technology acceptance model - TAM and the Cognitive load theory - CLT are in a close cause-and-effect relationship, and gaining insights into this issue is essential for educators. Our study aimed to examine continuous teaching intention (CTI) with emerging…
Descriptors: Teacher Attitudes, Intention, Technology Uses in Education, Elementary School Teachers
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Annette-Pascale Denfeld; Esther Tamara Canrinus; Inger Marie Dalehefte – European Journal of Education, 2025
Chapter 9A of the Norwegian Education Act obligates teachers to act upon any suspicion of deficits in the school environment. This cross-sectional study explores teachers' (n = 140) perceptions and motivations in terms of initiating cases according to 9A, considering both accountability and responsibility. Teachers' job satisfaction and…
Descriptors: Foreign Countries, Educational Legislation, Educational Environment, Teacher Attitudes
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Huan Li; Qinghui Hou; Ren Mu; Yating Wang; Yating Yang – Journal of Creative Behavior, 2025
Although research on team performance-prove goal orientation (TPPGO) has flourished, there remains a scarcity of studies investigating its impact on individual performance. Drawing upon transactional stress theory, our study aims to explore the dual nature of the influence exerted by TPPGO on employee creative performance. Employing a multi-level…
Descriptors: Teamwork, Job Performance, Goal Orientation, Individual Differences
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