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Kuadey, Noble Arden; Mahama, Francois; Ankora, Carlos; Bensah, Lily; Maale, Gerald Tietaa; Agbesi, Victor Kwaku; Kuadey, Anthony Mawuena; Adjei, Laurene – Interactive Technology and Smart Education, 2023
Purpose: This study aims to investigate factors that could predict the continued usage of e-learning systems, such as the learning management systems (LMS) at a Technical University in Ghana using machine learning algorithms. Design/methodology/approach: The proposed model for this study adopted a unified theory of acceptance and use of technology…
Descriptors: Foreign Countries, College Students, Learning Management Systems, Student Behavior
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Kingston, Amanda K.; Garofalo, Evan M.; Cardoza, Kristinmae; Fisher, Rebecca E. – Anatomical Sciences Education, 2023
Formative assessments are primarily used as a tool to gauge learning throughout an anatomy course. They have also been demonstrated to improve student mastery and exam performance, although the precise nature of this relationship is poorly understood. In this study, it is hypothesized that formative assessment questions targeting higher cognitive…
Descriptors: Formative Evaluation, Anatomy, Medical Education, Difficulty Level
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Datu, Jesus Alfonso D.; Yang, Weipeng; Wai Lau, Kwok – Journal of Early Adolescence, 2023
Previous evidence has revealed that mindful individuals tend to pay more attention to specific tasks and demonstrate better work engagement. However, prior investigations commonly used cross-sectional designs to examinine the link of mindfulness to engagement in Western societies. This research explores the association of mindfulness with…
Descriptors: Metacognition, Learner Engagement, Foreign Countries, High School Students
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Xia, Xiaona – Interactive Learning Environments, 2023
Interactive learning environments can generate massive learning behavior data and the support of learning behavior big data can ensure the completeness of data analysis and robustness of relationship verification. In this study, learning behaviors are divided into training set and testing set, BP neural network and recurrent Elman network are…
Descriptors: Interaction, Intervention, Student Behavior, Educational Environment
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Montano, Renz Louis T. – Educational and Developmental Psychologist, 2023
Objective: The present study aimed to: (1) to determine how the two dimensions of perfectionism -- perfectionistic strivings (PS) and evaluative concerns (EC) are associated with academic engagement; and (2) to determine if failure mindset mediates the relationship between perfectionism and academic engagement. Method: Four hundred and forty-eight…
Descriptors: Undergraduate Students, Foreign Countries, Learner Engagement, Failure
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Taylor, Emily C.; Livingston, Lucy A.; Clutterbuck, Rachel A.; Callan, Mitchell J.; Shah, Punit – Autism: The International Journal of Research and Practice, 2023
Strengths-based approaches to autism are increasing in research and clinical practice. Such approaches suggest facilitating autistic people to increase the use of their strengths leads to positive outcomes (e.g. improved well-being). However, despite proliferation of strengths-based clinical and educational interventions, these approaches are…
Descriptors: Ability, Well Being, Predictor Variables, Mental Health
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Nursalim, Mochamad; Saroinsong, Wulan P.; Boonroungrut, Chinun; Wagino; Costa, Augusto da – Psychology in the Schools, 2023
The global health emergency, COVID-19, significantly influenced schooling in Indonesia. Students employed a variety of coping mechanisms to cope with unusual stress levels during confinement time. Hence, as students' COVID-19 resilience, investigation, and prevention were required for high and chronic stress connected with various disorders. This…
Descriptors: Prediction, COVID-19, Pandemics, Resilience (Psychology)
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Kubit, Benjamin M.; Janata, Petr – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Involuntary musical imagery (INMI; more commonly known as "earworms" or having a song "stuck in your head") is a common musical phenomenon and one of the most salient examples of spontaneous cognition. Despite the ubiquitous nature of INMI in the general population, functional roles of INMI remain to be fully established and…
Descriptors: Music, Memory, Probability, Novelty (Stimulus Dimension)
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Kohn, Brooke H.; Vidal, Paige; Chiao, Rachael; Pantalone, David W.; Faja, Susan – Journal of Autism and Developmental Disorders, 2023
Autistic adults have similar levels of desire for sexual and romantic relationships as their non-autistic peers. However, autistic adults are less likely to be in relationships and have less dating experience. We compared sexual knowledge, experiences, and pragmatic language ability in a community sample of young adults with (n = 27, mean age =…
Descriptors: Autism Spectrum Disorders, Young Adults, Sexuality, Knowledge Level
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Kadioglu-Akbulut, Cansel; Cetin-Dindar, Ayla; Acar-Sesen, Burçin; Küçük, Sevda – Education and Information Technologies, 2023
Designing effective and efficient learning environments by integrating recent educational technologies into the teaching process has become an important goal of education for nearly two decades. However, earlier studies showed that a higher level of technology knowledge does not guarantee the development of TPACK. At this point, studies guided by…
Descriptors: Preservice Teachers, Pedagogical Content Knowledge, Technological Literacy, Educational Technology
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Vitale, Sarah Rose; Schneider, Hoa; Gardner, Lauren; Alessandri, Michael; Marker, Craig – Journal of Autism and Developmental Disorders, 2023
Children with autism spectrum disorder present with challenging behaviors that can impact caregivers by increasing parental perceived stress and risk for depression. However, positive coping strategies have also been identified as protective factors for parents of children with ASD. The present study examined parental perceived daily stressors and…
Descriptors: Behavior Problems, Parents, Depression (Psychology), Stress Variables
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Vergara, Diego; Gómez-Vallecillo, Ana Isabel; Fernández-Arias, Pablo; Antón-Sancho, Álvaro – International Journal of Game-Based Learning, 2023
This paper conducts descriptive quantitative research of the player profile of a set of 808 university professors, and the player profiles that participants consider most suitable for learning when educational gamification is employed in higher education. It also studied the existence of influential variables in the chosen player profiles,…
Descriptors: Gamification, Profiles, College Faculty, Predictor Variables
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Obeng, Asare Yaw – Cogent Education, 2023
The learning processes have been significantly impacted by technology. Numerous learners have adopted technology-based learning systems as the preferred form of learning. It is then necessary to identify the learning styles of learners to deliver appropriate resources, engage them, increase their motivation, and enhance their satisfaction and…
Descriptors: Predictor Variables, Cognitive Style, Electronic Learning, College Freshmen
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Chea, Vatana; You, Saokeo Khantey; Song, Sopheak – International Journal of Training Research, 2023
Understanding what determines a worker's passion for skills training has important policy implications, particularly in the current context of the fourth industrial revolution, in which knowledge is deemed obsolete within several years. The purpose of this study is to answer a specific question: are higher-ability garment workers more likely to…
Descriptors: Clothing, Industry, Employees, Job Skills
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Schmidt, Barbara Maria; Breuer-Küppers, Petra; Vahlhaus-Aretz, Doris; Obergfell, Anja Larissa; Schabmann, Alfred – Reading and Writing: An Interdisciplinary Journal, 2023
There are contradictory findings in the literature about prosodic sensitivity's contribution to reading. In this study, we examined whether prosodic sensitivity makes a unique contribution to different reading outcomes in German after controlling for the effects of phonological awareness. Word reading, nonword reading and sentence reading as well…
Descriptors: Suprasegmentals, Phonological Awareness, Phonemes, Predictor Variables
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