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Faith Sylvester Orim; Usani Joseph Ofem; Imelda Barong Edam-Agbor; Nsan Njar Nsan; John Arikpo Okri; Patience Ekpang; Blessing Ogunjimi; Isu Michael Egbe; James Omaji Ukatu; Cecilia Undie Angrey; Moses Agba Undie; Oluwaseun Akin-Fakorede; Dymphina Abua; Peace Asukwo – Discover Education, 2025
The current educational landscape is flooded with new technological tools, especially with the arrival of artificial intelligence, which is applicable at all levels of instructional practices. However, the application of technology in assessment in higher education has been understudied. This study focused on filling this research gap by examining…
Descriptors: Higher Education, College Faculty, Computer Assisted Testing, Technology Integration
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Bradley Merrick; Dawn Joseph; William Baker – New Zealand Journal of Teachers' Work, 2025
Preparation of Primary teachers to deliver the Arts in schools continues to receive attention, particularly as the shortage of educators becomes more prevalent. This paper seeks to examine the preparedness of students undertaking Initial Teacher Education (ITE) across three Australian Institutions (n=120). The authors explore 'How does ITE…
Descriptors: Foreign Countries, Elementary School Teachers, Preservice Teacher Education, Preservice Teachers
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Jenipher Mahuma; Jesca Malole; Ruth Nsibirano; Thomas Ndaluka – International Journal of Education and Development using Information and Communication Technology, 2025
Engagement with the digital world and the utilization of digital platforms enhance teaching and learning in higher education institutions (HEIs) by providing interactive resources, fostering collaboration, enabling real-time feedback, and expanding access to diverse educational materials. Accordingly, this article explores students' perceptions of…
Descriptors: Foreign Countries, Females, College Students, Technology Uses in Education
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Chuey, Aaron; Lockhart, Kristi; Trouche, Emmanuel; Keil, Frank – Developmental Psychology, 2023
As adults, we intuitively understand how others' goals influence their information-seeking preferences. For example, you might recommend a dense book full of mechanistic details to someone trying to learn about a topic in-depth, but a more lighthearted book filled with surprising stories to someone seeking entertainment. Moreover, you might do…
Descriptors: Young Children, Adults, Inferences, Preferences
Child, Simon; Shaw, Stuart – Research Matters, 2023
This article provides a conceptual framework for considering both the theoretical and methodological factors that underpin the successful validation of a competency framework. Drawing on educational assessment literature, this article argues that a valid competency framework relates to an interpretive judgement of the credibility of the claims…
Descriptors: Competence, Validity, Accuracy, Models
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Perez, Melissa; Garcia, Patricia – ACM Transactions on Computing Education, 2023
Norms and values in computing education are constantly changing as dominant narratives about the role of computing in society evolve over time. Within the current evolving landscape of computing education, researchers and practitioners have advocated for ensuring people from all backgrounds, and particularly women, non-binary, and Black,…
Descriptors: Females, Computer Science Education, Student Experience, Attitudes
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Luo, Jiahui; Chan, Cecilia K. Y. – Assessment & Evaluation in Higher Education, 2023
Learning to make informed evaluative judgement of holistic competencies prepares students for well-rounded development on a lifelong and self-directed basis. However, a review of the literature reveals that empirical studies framed under evaluative judgement have not yet explicitly acknowledged the judgement of these competencies. If we are to…
Descriptors: Evaluative Thinking, Value Judgment, Holistic Approach, Competence
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Liu, Shuiyin; Huang, Fang – Journal of Pedagogical Research, 2023
Although Massive Open Online Courses (MOOCs) have attracted extensive attention among educational stakeholders, the issue of the high dropout rate has yet to be solved. The current study aimed to unpack teacher influence on MOOCs learners' continuance learning intention, and to examine the mediating roles of students' perceived usefulness and…
Descriptors: MOOCs, Intention, Student Attitudes, Value Judgment
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Kashive, Neerja; Phanshikar, Dharini – Smart Learning Environments, 2023
This study aimed to identify the factors, which affect the continuance of mobile learning. The study has looked at epistemological, social, and security risk factors based on Magsayo (Interact Technol Smart Educ 20(2):177-208) and how they affect the perceived functional benefits (PFB) and perceived learner value (PLV). Further locus of control…
Descriptors: Intention, Electronic Learning, Handheld Devices, Value Judgment
Jackson, Brittney April – ProQuest LLC, 2023
This dissertation shares the voices of five Black female student-athletes who have attended Division I (DI), Predominately White Institutions (PWI) in the Southern part of the United States. In the ongoing discourse of collegiate athletics and the context of southern institutions and their structures of injustice, one must hear the thoughts and…
Descriptors: Females, African American Students, Student Athletes, College Athletics
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Doo, Min Young – Education and Information Technologies, 2023
Universities are increasingly incorporating flipped learning as an effective instructional approach. Given the popularity of flipped learning, numerous studies have examined the psychological aspects of students and learning achievement in flipped learning classes. However, little research has examined the social influence processes of students in…
Descriptors: Undergraduate Students, Flipped Classroom, Models, Social Influences
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Chan, Cecilia Ka Yuk; Zhou, Wenxin – Smart Learning Environments, 2023
This study examines the relationship between student perceptions and their intention to use generative artificial intelligence (GenAI) in higher education. With a sample of 405 students participating in the study, their knowledge, perceived value, and perceived cost of using the technology were measured by an Expectancy-Value Theory (EVT)…
Descriptors: Student Attitudes, College Students, Artificial Intelligence, Technology Uses in Education
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A. Devisakti; Muhammad Muftahu; Hu Xiaoling – Education and Information Technologies, 2024
While technological advances have led to digital transformation in many higher education institutions (HEIs), digital divide, especially among students in developing nations, is becoming a growing concern. This study aims to investigate the use of digital technology among B40 students (students from the lower socioeconomic backgrounds) in…
Descriptors: Foreign Countries, Higher Education, Educational Technology, Access to Computers
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Sum Kwing Cheung; Audrey Pui Lam Ho; Bertha H. C. Kum; Winnie Wai Lan Chan – European Journal of Psychology of Education, 2024
The home math environment is vital for early math development. Yet, there is limited understanding of how parents translated their attitudes towards helping children learn math (HCLM) into actions to influence their young children's math-related outcomes. Thus, the present study examined whether parents' perceived competence, value, and pressure…
Descriptors: Parent Attitudes, Parent Student Relationship, Mathematics Instruction, Competence
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Kaili Lu; Jianrong Zhu; Feng Pang; Zhi Liu – International Journal of Educational Technology in Higher Education, 2024
While test anxiety is a problem in asynchronous online courses, few studies have systematically investigated learning factors influencing test anxiety in asynchronous online courses. Additionally, emotional engagement has been identified as a mediator between learning factors and test anxiety. Therefore, this study clarified the mediating role of…
Descriptors: College Students, Test Anxiety, Online Courses, Emotional Response
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