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Chrobak, Quin M.; Braun, Blair E.; Smith, Allison L.; Zaragoza, Maria S. – Applied Cognitive Psychology, 2021
When cross-examining witnesses, lawyers will sometimes use complex questions to "trip-up" witnesses and thus cast doubt on their testimony. Extending prior research, the present study showed that multifaceted test questions (which contain both a true and false proposition) reduced accuracy for both misled and control participants but had…
Descriptors: Questioning Techniques, Instruction, Difficulty Level, Accuracy
Bae, Jinhee; Hong, Seok-sung; Son, Lisa K. – Metacognition and Learning, 2021
Against intuition, a set of "desirable difficulties" has been touted as a way in which to improve learning and lengthen retention. This includes, for instance, varying the conditions of learning to allow for more active, effortful, or challenging, contexts. In the current paper, we introduce data that show that, on the contrary, learning…
Descriptors: Failure, Difficulty Level, Learning, Selection
Vangsness, Lisa; Young, Michael E. – Metacognition and Learning, 2021
Accurate metacognitive monitoring improves performance in a variety of naturalistic contexts. However, the laboratory contexts used to study metacognition differ from naturalistic environments in important ways. Specifically, laboratory experiments require learners to make repeated, overt judgments that are thought to reflect underlying…
Descriptors: Metacognition, Prompting, Accuracy, Cues
Soysal, Sumeyra; Yilmaz Kogar, Esin – International Journal of Assessment Tools in Education, 2022
The testlet comprises a set of items based on a common stimulus. When the testlet is used in the tests, there may violate the local independence assumption, and in this case, it would not be appropriate to use traditional item response theory models in the tests in which the testlet is included. When the testlet is discussed, one of the most…
Descriptors: Test Items, Test Theory, Models, Sample Size
Rosedahl, Luke A.; Ashby, F. Gregory – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
In rule-based (RB) category-learning tasks, the optimal strategy is a simple explicit rule, whereas in information-integration (II) tasks, the optimal strategy is impossible to describe verbally. This study investigates the effects of two different category properties on learning difficulty in category learning tasks--namely, linear separability…
Descriptors: Classification, Learning, College Students, Difficulty Level
Szczepanska, Timo; Antosz, Patrycja; Berndt, Jan Ole; Borit, Melania; Chattoe-Brown, Edmund; Mehryar, Sara; Meyer, Ruth; Onggo, Stephan; Verhagen, Harko – International Journal of Social Research Methodology, 2022
GAM, combining games and agent-based models, shows potential for investigating complex social phenomena. Games offer engaging environments generating insights into social dynamics, perceptions, and behaviours, while agent-based models support the analysis of complexity. Games and agent-based models share the important ability both to input and…
Descriptors: Games, Design, Models, Social Influences
Benjamin M. Torsney; Sarah Rawls; Joseph I. Eisman; Catherine Pressimone Beckowski; Cheryl B. Torsney – Educational and Developmental Psychologist, 2025
Objective: The objective of this study was threefold: (a) to create a rubric for response complexity (RC), defined as an admixture of response length, grammatical diversity, categorisation, and sophistication; (b) to measure behavioural and cognitive engagement through students' written responses on a school-based written activity, and (c) to…
Descriptors: College Students, Learner Engagement, Responses, Difficulty Level
Patrick V. Barnwell; Jake A. Rattigan; Kyle T. Brennan; Erick J. Fedorenko; Richard J. Contrada – Journal of American College Health, 2025
Objectives: To examine college students' conflicting COVID-19 information exposure, information-seeking, concern, and cognitive functioning. Participants: 179 undergraduates were recruited in March-April 2020, and 220 in September 2020 (Samples 1 and 2, respectively). Methods: Students completed the Attention Network Test, NASA Task Load Index,…
Descriptors: COVID-19, Pandemics, Undergraduate Students, Information Seeking
Jyoti Prakash Meher; Rajib Mall – IEEE Transactions on Education, 2025
Contribution: This article suggests a novel method for diagnosing a learner's cognitive proficiency using deep neural networks (DNNs) based on her answers to a series of questions. The outcome of the forecast can be used for adaptive assistance. Background: Often a learner spends considerable amounts of time in attempting questions on the concepts…
Descriptors: Cognitive Ability, Assistive Technology, Adaptive Testing, Computer Assisted Testing
Yining Wang; Kexin Han; Paul Ginns – Educational Psychology Review, 2025
Cognitive load theory's incorporation of evolutionary perspectives suggests biologically primary knowledge, acquired through evolutionary processes, can support students in learning biologically secondary knowledge, the focus of typical educational curricula. Touch-based interactions using the hands are likely to be biologically primary. The…
Descriptors: Multimedia Instruction, Multimedia Materials, Learning Processes, Difficulty Level
Nick Serki; San Bolkan – Communication Education, 2024
This study tested the notion that the impact of clarity (i.e., structure) on learning is indirect and occurs, in part, through the reduction of cognitive load and subsequently through students' motivation to process instructional information. Two hundred fifty-two students were randomly assigned to one of two text-based lessons (clear or unclear)…
Descriptors: College Students, Difficulty Level, Cognitive Processes, Student Motivation
Ji-Eun Lee; Sunghwan Hwang; Sheunghyun Yeo – International Journal of Science and Mathematics Education, 2024
This study explored 54 preservice elementary teachers' identification and modification of mathematical tasks in raising cognitive demand and examined the features of their modified tasks. The study collected data using a three-phase activity: (a) identifying the level of cognitive demand of the given task, (b) modifying the low cognitive demand…
Descriptors: Elementary School Teachers, Task Analysis, Difficulty Level, Mathematics Education
Bephyer Parey; Elisabeth Kutscher – Journal of Mixed Methods Research, 2024
Rigor evaluation in mixed methods research is a growing need. Linking rigor to Hong and Pluye's (2019) concepts of methodological and reporting quality, the purpose of this article is to operationalize and expand Harrison et al.'s (2020) Rigorous Mixed Methods Framework. Drawing from a systematic methodological review of 66 inclusive education…
Descriptors: Mixed Methods Research, Difficulty Level, Evaluation Methods, Research Design
Shu Chen; Xiaoting Liu; Norfarizah Mohd Bakhir; Yang Yu – Education and Information Technologies, 2024
This paper studies the effect of learning efficiency through various animations in conjunction with instructional teaching of traditional Intangible Cultural Heritage (ICH) crafts projects. The germane cognitive load (GCL) is defined as an investment in cognitive resources for schema development and automation. This study employs four…
Descriptors: Difficulty Level, Cognitive Processes, Schemata (Cognition), Cultural Background
Stephanie Moore; Fatemeh Marzban – Distance Learning, 2024
Student mental health in higher education has been worsening for some time, even prior to the pandemic, showing up in various ways that learners struggle in online learning and other modalities. More recent research on health, sleep, and chronic illness as aspects of online learner mental fatigue and academic performance suggests that online…
Descriptors: Electronic Learning, Mental Health, Student Welfare, Caring