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No Child Left Behind Act 20011
Showing 1 to 15 of 1,732 results Save | Export
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Ghadah Al Murshidi; Kseniia Adamovich; Jamie Costley; Ekaterina Andronova; Hamda Alblooshi; Ruwaya Alderei; Anna Gorbunova – International Journal of Distance Education Technologies, 2025
The aim of the present paper is to explore students' perceptions of MOOCs in relation to their learning strategies. Drawing upon cognitive appraisal theory and learning strategies framework, the study examines the perception of MOOCs as threats or challenges and assesses students' learning approaches through the prism of deep and surface learning…
Descriptors: MOOCs, Learning Strategies, Student Attitudes, Cognitive Style
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Hmedna, Brahim; Bakki, Aicha; Mezouary, Ali El; Baz, Omar – Smart Learning Environments, 2023
Massive Open Online Courses (MOOCs) are revolutionizing online education and have become a popular teaching platform. However, traditional MOOCs often overlook learners' individual needs and preferences when designing learning materials and activities, resulting in suboptimal learning experiences. To address this issue, this paper proposes an…
Descriptors: MOOCs, Student Attitudes, Preferences, Cognitive Style
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Thompson, Andrew R.; Lake, Logan P. O. – Advances in Health Sciences Education, 2023
Researchers have long been interested in understanding how different learning approaches impact learning outcomes. Learning approaches are often conceptualized as a dichotomy of superficial and deep, and learning outcomes are typically viewed on a cognitive scale that ranges from lower- to higher-order. While there appears to be an inherent…
Descriptors: Undergraduate Students, Academic Achievement, Cognitive Style, Taxonomy
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Guadalupe Elizabeth Morales-Martinez; Ricardo Jesus Villarreal-Lozano; Maria Isolde Hedlefs-Aguilar – International Journal of Emotional Education, 2025
This research study explored the systematic thinking modes underlying test anxiety in 706 engineering students through an experiment centred on the cognitive algebra paradigm. The participants had to read 36 experimental scenarios that narrated an imaginary academic assessment situation one by one and then judge the level of anxiety they…
Descriptors: Engineering Education, Cognitive Style, College Students, Student Attitudes
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Othuke Valentine Oroka; Columbus Deku Bessong; Napoleon Osang Bessong; Agnes Awoli Ewuru; Gloria Iniobong Olori – Journal of Media Literacy Education, 2024
Much attention has been paid to the contributions of media literacy to children and adolescent development in most developed countries. This study adopted a non-equivalent control type of quasi-experimental research design involving the experimental and control groups. The sample size for the study was 90 learners drawn from all public adult and…
Descriptors: Media Literacy, Entrepreneurship, Vocational Education, Adult Education
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Wengrowicz, Niva; Lavi, Rea; Kohen, Hanan; Dori, Dov – Journal of Science Education and Technology, 2023
As part of the design, development, and deployment of a massive open online course (MOOC) on model-based systems engineering, we introduced MORTIF--Modeling with Real-Time Informative Feedback, a new learning-by-doing feature that enables the learner to model, receive detailed feedback, and resubmit improved solutions. We examined the pedagogical…
Descriptors: MOOCs, Feedback (Response), Student Characteristics, Student Attitudes
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Nur Aini Khoo; Nurdiana Yasmin Jamaluddin; Sharifah Osman; Achmad Buchori – Journal of Technology and Science Education, 2024
Mathematics is a subject that is extensively used in real-life situations, but it has been found to be a difficult subject to master. Accordingly, mathematics anxiety has been found to be highly prevalent in students' lives, whereby learning styles have been underlined as one of the factors that may impact attainment of mathematics skills. This…
Descriptors: Cognitive Style, Mathematics Anxiety, Mathematics Instruction, Secondary School Students
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Engin Demir; Huseyin Cevik – Turkish Online Journal of Distance Education, 2025
Students' attitudes towards distance education can be shaped by the compatibility of their learning styles with this new educational environment. The study aimed to investigate whether various variables and e-learning styles predict student's attitudes towards distance education. The present research was conducted on 387 students enrolled in the…
Descriptors: Student Attitudes, Electronic Learning, Educational Technology, Predictor Variables
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Yasmany García-Ramírez – Advances in Engineering Education, 2024
Due to its positive results, active learning has spread to most areas of knowledge of Civil Engineering. Many of these studies used only one technique, which is limiting given the diverse learning styles that the students may have. The road geometric design is the area that has been the least explored in Civil engineering. Therefore, the objective…
Descriptors: Engineering Education, Active Learning, Design, Civil Engineering
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Chaw, Lee Yen; Tang, Chun Meng – Electronic Journal of e-Learning, 2023
In addition to a face-to-face classroom learning environment, today's learners in higher education are likely to have also experienced a blended learning or an online learning environment. These learning environments not only differ in their delivery modes, but also learning activities, class interactions, assessment approaches, etc. Learners tend…
Descriptors: Student Attitudes, Educational Environment, College Students, In Person Learning
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Joshua Edward Stubbs; Dusana Dorjee; Poppy Nash; Lucy Foulkes – Pastoral Care in Education, 2023
The elongation in the amount of time that adolescents remain in education in England has coincided with mounting concerns about increasing adolescent mental health problems. In light of research suggesting that A-level students in post-16 education may face a particularly high degree of academic pressure, this study aimed to deepen our…
Descriptors: Womens Education, Student Attitudes, Foreign Countries, Stress Variables
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Smarandache, Izabella G.; Maricutoiu, Laurentiu P.; Ilie, Marian D.; Iancu, Daniel E.; Mladenovici, Velibor – Higher Education Research and Development, 2022
Existing science evidence sustained that students' preferences for a learning approach (i.e., deep or surface learning) depend on several contextual variables. In this study, we used the network psychometrics perspective to investigate the interactions between the elements that define students' learning preferences. We aimed to understand which…
Descriptors: Student Behavior, College Students, Learning Strategies, Cognitive Style
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Li, Boli; Burke, Jenene; Plunkett, Margaret – Issues in Educational Research, 2022
Despite the COVID-19 pandemic, Chinese international students (CIS) still constitute the largest international population in Australian higher education. Yet limited research has examined the lived learning experience of CIS and local students in Australian universities. Underpinned by Biggs, Kember and Leung's (2001) 3P model of learning, this…
Descriptors: Foreign Students, College Students, Asians, Foreign Countries
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Brahim Nehass; Jalal Ismaili; Ghizlane Merzaq; Abdelmounim Kiouach; Abderrahim Bounaissat; Benaissa Zarhbouch – Psychology in the Schools, 2025
The process of decision-making is a multifaceted cognitive endeavor encompassing various cognitive, emotional, psychological, and social processes. It empowers individuals to select from a range of alternatives. Its significance spans across age groups, impacting both adults and children, and the relevance of which goes beyond aiding learners in…
Descriptors: Decision Making, High School Students, Rating Scales, Psychometrics
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Sönmez, Selami; Korucuk, Murat – Shanlax International Journal of Education, 2023
In this study, students' e-learning styles (ELS) and attitudes towards online learning were examined. Besides, it was also aimed to reveal the relationship between students' ELS and their attitudes towards online learning. Another of the main aims of the study is; the aim of this study is to explain the effect of university students' e-learning…
Descriptors: Educational Technology, Electronic Learning, Student Attitudes, Cognitive Style
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