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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
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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
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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
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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
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Madison Formanek; Tammie J. Spaulding – Language, Speech, and Hearing Services in Schools, 2024
Purpose: The present study was designed to investigate persistence in preschool children with developmental language disorder (DLD) compared to similar-age peers with typical language (TL) on tasks designed to be moderately challenging, yet equivalent in difficulty for both groups. Method: Sixteen preschool-age children with DLD were matched to 16…
Descriptors: Persistence, Preschool Children, Language Impairments, Developmental Disabilities
Carlos Adalberto Rios – ProQuest LLC, 2024
This research study focuses on female executives at two-year and four-year public Hispanic-Serving Institutions in the U.S. Southwest Border States by examining their lived experiences and career paths that helped them become successful senior administrators. Although most college students are female, women in leadership positions in academia are…
Descriptors: Career Pathways, Employed Women, Hispanic American Students, Minority Serving Institutions
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Yue Rong – International Journal of Web-Based Learning and Teaching Technologies, 2024
Mental health education in colleges and universities has made considerable progress, but the existing assessment model still faces challenges in terms of time overhead and rank indicators. In response, this paper proposes a new psychological education assessment model for colleges and universities, based on multimedia feature extraction…
Descriptors: Multimedia Instruction, Test Construction, Psychological Evaluation, Mental Health
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Wang, Wei-Tsong; Kartika Sari, Mega – Journal of Educational Computing Research, 2024
The designs of gamification platforms are diverse and constantly evolving. Excessive use of various game mechanisms in learning platforms can distract from the learning process. However, the fit of game mechanisms is still uncertain. Thus, this study investigates the effect of achieving fit when implementing game mechanisms on learning outcomes by…
Descriptors: Gamification, Educational Technology, Design, Cognitive Processes
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Laura Galeano; Gustaf Gredebäck – Cognitive Science, 2024
We investigated the relations between self-reported math anxiety, task difficulty, and pupil dilation in adults and very young children during math tasks of varying difficulty levels. While task difficulty significantly influenced pupillary responses in both groups, the association between self-reported math anxiety and pupil dilation differed…
Descriptors: Mathematics Anxiety, Difficulty Level, Task Analysis, Eye Movements
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Mariana Mejia Turnbull; Michelle MacRoy-Higgings; Brett A. Martin – Communication Disorders Quarterly, 2024
The purpose of this study was to analyze and compare the linguistic content of the Spanish HINT and the Spanish AzBio sentence tests. The results revealed that the Spanish AzBio is linguistically more complex as compared with the Spanish HINT in terms of sentence length, complexity, and grammatical structure.
Descriptors: Assistive Technology, Spanish, Adults, Sentences
Lauren Zirpoli – ProQuest LLC, 2024
This convergent parallel mixed methods study with qualitative and quantitative content analysis was conducted to analyze and describe the cognitive complexity of the publicly released Advanced Placement Computer Science Principles Exam questions compared to the language of higher-order thinking found in research literature. Hess' Cognitive Rigor…
Descriptors: Advanced Placement, Tests, Questioning Techniques, Difficulty Level
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Marta Sobocinski; Daryn Dever; Megan Wiedbusch; Foysal Mubarak; Roger Azevedo; Sanna Järvelä – British Journal of Educational Technology, 2024
This study examines the embodied ways in which learners monitor their cognition while learning about exponential functions in an immersive virtual reality (VR) based game, "Pandemic" by Prisms of Reality. Traditionally, metacognitive monitoring has been assessed through behavioural traces and verbalised instances. When learning in VR,…
Descriptors: Computer Simulation, Educational Games, Video Games, Metacognition
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Monica Tatasciore; Luke Strickland; Shayne Loft – Cognitive Research: Principles and Implications, 2024
Increased automation transparency can improve the accuracy of automation use but can lead to increased bias towards agreeing with advice. Information about the automation's confidence in its advice may also increase the predictability of automation errors. We examined the effects of providing automation transparency, automation confidence…
Descriptors: Automation, Access to Information, Information Technology, Bias
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Cody Gilbert; Mitch Earleywine; Brianna R. Altman – Journal of American College Health, 2024
Objective: Both aerobic exercise and Cognitive Behavioral Therapy (CBT) improve depression, but perceptions of their credibility and efficacy are underexplored. These perceptions can contribute to treatment seeking and outcome. A previous online sample ranging in age and education rated a combined treatment higher than individual components and…
Descriptors: Undergraduate Students, Student Attitudes, Cognitive Restructuring, Behavior Modification
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Chia-Ying Chu; Pei-Hua Chen; Yi-Shin Tsai; Chieh-An Chen; Yi-Chih Chan; Yan-Jhe Ciou – Journal of Deaf Studies and Deaf Education, 2024
This study investigated the impact of language sample length on mean length of utterance (MLU) and aimed to determine the minimum number of utterances required for a reliable MLU. Conversations were collected from Mandarin-speaking, hard-of-hearing and typical-hearing children aged 16-81 months. The MLUs were calculated using sample sizes ranging…
Descriptors: Foreign Countries, Mandarin Chinese, Young Children, Language Acquisition
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