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Showing 1 to 15 of 112 results Save | Export
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Mirjana Maricic; Branko Andic; Soeharto Soeharto; Filiz Mumcu; Stanko Cvjeticanin; Zsolt Lavicza – Education and Information Technologies, 2025
According to the theoretical frameworks and teaching practice, the constructs of the Technology acceptance model - TAM and the Cognitive load theory - CLT are in a close cause-and-effect relationship, and gaining insights into this issue is essential for educators. Our study aimed to examine continuous teaching intention (CTI) with emerging…
Descriptors: Teacher Attitudes, Intention, Technology Uses in Education, Elementary School Teachers
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Kalyuga, Slava – Educational Psychology Review, 2023
Adopting an evolutionary approach to substantiate major characteristics of human cognitive architecture has been one of the major recent developments in cognitive load theory. According to this approach, human cognitive architecture is a natural information processing system which can be described by five general principles. This paper attempts to…
Descriptors: Cognitive Processes, Difficulty Level, Evolution, Epistemology
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Senad Becirovic; Mersad Dervic; Boris Mattoš – SAGE Open, 2025
This research seeks to investigate the variables that might affect university-level students' internet habits, their e-learning self-efficacy and academic achievement in a technology-enhanced teaching and learning environment. To attain the aforementioned objective the Information System Success (ISS) and Technology Acceptance Model (TAM) were…
Descriptors: College Students, Behavior Patterns, Internet, Self Efficacy
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Coulson, Evan; Park, Logan; Lawhon, Ben; Taff, Derrick; Vagias, Wade; Newman, Peter – Applied Environmental Education and Communication, 2021
This study examined variables hypothesized to influence behavioral intentions of visitors to frontcountry areas managed by the USDA Forest Service. Data were obtained over a stratified 12-month sampling period (n = 281). Analyses revealed that visitor attitudes toward perceived effectiveness of Leave No Trace practices and perceptions of…
Descriptors: Attitudes, Behavior, Intention, Parks
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Del Missier, Fabio; Stragà, Marta; Visentini, Mimì; Munaretto, Giulio; Mäntylä, Timo – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Research on prospective memory has paid no attention to the way in which the intentions to be remembered are framed. In two studies on time-based prospective memory, participants had to remember multiple delayed intentions framed as time rules (i.e., respond every 7 min, every 10 min) or as a series of corresponding instances (i.e., respond at…
Descriptors: Intention, Memory, Time Perspective, Cognitive Processes
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Prasetya, Didik Dwi; Pinandito, Aryo; Hayashi, Yusuke; Hirashima, Tsukasa – Research and Practice in Technology Enhanced Learning, 2022
Extension concept mapping is a technique to connect prior existing concept maps with new knowledge structures. It offers advantages in each stage of the knowledge-integrating process and encourages learners to improve their performance. While previous studies have confirmed that the extended kit-build concept map outperformed the extended…
Descriptors: Concept Mapping, Knowledge Level, Knowledge Representation, Program Effectiveness
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Hoi, Vo Ngoc; Hang, Ho Le – Education and Information Technologies, 2021
Research and practice in the use of social networks for educational purposes have indicated the potential of Facebook as an online supplementary learning platform. Yet, empirical evidence regarding students' perception and acceptance of Facebook remains limited. This study adopts an exploratory sequential mixed methods design to understand factors…
Descriptors: Student Behavior, Intention, Social Media, Technology Uses in Education
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Alrousan, Mohammad Kasem; Al-Madadha, Amro; Al Khasawneh, Mohammad Hamdi; Adel Tweissi, Adiy – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this study is to investigate the factors that affect students' behavioral intentions to use virtual classrooms at Princess Sumaya University for Technology (PSUT) in Jordan. Design/methodology/approach: A quantitative research approach was adopted, an online survey method was used and the data were collected among students…
Descriptors: Foreign Countries, Student Behavior, Intention, Virtual Classrooms
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Sy-Yi Tzeng; Kuang-Chao Yu – Journal of Technology Education, 2024
There are two difficulties associated with many previous evaluations of students' attitudes toward technology. First, most questionnaires focus on social and family environments, neglecting the schooling environment. Second, although some studies have considered the schooling environment, there has been no systematic review of these studies. To…
Descriptors: Student Attitudes, Educational Technology, Technology Uses in Education, Educational Environment
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Madani, Haider; Adhikari, Ajay; Hodgdon, Christopher – Journal of International Education in Business, 2023
Purpose: This study aims to leverage the Unified Theory of Acceptance and Use of Technology framework developed by Venkatesh et al. (2003) to explore the factors influencing faculty willingness and acceptance of online teaching at a major Saudi Arabian university as we move to a post-COVID-19 new normal. Design/methodology/approach: We surveyed…
Descriptors: Foreign Countries, Teacher Attitudes, Online Courses, Educational Technology
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Wang, Wei-Tsong; Lin, Ying-Lien; Lu, Hsin-En – Education and Information Technologies, 2023
Students are commonly in a high cognitive load state when they encounter sophisticated knowledge. Whether the novel augmented reality (AR) technology can be utilized in an online learning course to explain complicated scientific concepts in a more understandable manner to students during the COVID-19 period is an unaddressed issue. This study aims…
Descriptors: Computer Simulation, Online Courses, COVID-19, Pandemics
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Wu, Chih-Hung; Liu, Chih-Hsing; Huang, Yueh-Min – International Journal of STEM Education, 2022
Background: This study proposes a learning cycle and a comprehensive research framework that integrates Bloom's taxonomy: the cognitive domain (cognitive load), affective domain (attitude and motivation) and psychomotor domain (implementation of science, technology, engineering, arts, and math [STEAM] activities) to explore the relationship…
Descriptors: Lifelong Learning, Intention, STEM Education, Art Education
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Hussein, Mahmood H.; Ow, Siew Hock; Al-Azawei, Ahmed; Ibrahim, Ishaq – Australasian Journal of Educational Technology, 2022
This study aims at proposing an integrated model based on the technology acceptance model, the information system success model, cognitive load theory, and personal characteristics to predict students' continued intention to reuse Google Classroom in the context of a developing country. To achieve this, we conducted quantitative research,…
Descriptors: Educational Technology, Learning Management Systems, Intention, Student Characteristics
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Zachary J. Schroeder; Sara D. Hodges – Social Psychology of Education: An International Journal, 2025
In three studies, college student participants read a description of ambiguous (i.e., neither explicitly positive nor explicitly negative) academic feedback from a faculty member. Evaluations of the ambiguous feedback were compared across participants' gender identities and levels of social and intellectual belonging in their academic majors and…
Descriptors: College Students, Feedback (Response), Ambiguity (Semantics), College Faculty
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Nja, Cecilia Obi; Idiege, Kimson Joseph; Uwe, Uduak Edet; Meremikwu, Anne Ndidi; Ekon, Esther Etop; Erim, Costly Manyo; Ukah, Julius Ukah; Eyo, Eneyo Okon; Anari, Mary Ideba; Cornelius-Ukpepi, Bernedette Umalili – Smart Learning Environments, 2023
This study investigated the factors influencing science teachers' 'Artificial Intelligence' (AI) utilization by using the 'Technology Acceptance Model' (TAM). The factors investigated alongside TAM variables were teachers' data like; age, sex, and residence type. TAM items that were correlated in this study included; self-esteem, stress and…
Descriptors: Science Teachers, Educational Technology, Technology Integration, Artificial Intelligence
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