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Yuan Tian; Zhongjian Liu; Hainuo Liu; Min Fang – Journal of Computer Assisted Learning, 2025
Background: Online videos featuring human-generated drawing are increasingly popular in education. However, their effectiveness may vary depending on learners' prior knowledge, and further research is needed to confirm their advantages over other common instructional videos. Objectives: The primary goal of this study is to investigate the impact…
Descriptors: Video Technology, Educational Technology, Instructional Films, Freehand Drawing
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Stanley Appiah Essuman; Eric Magnus Wilmot – Cogent Education, 2024
The study examines pre-service mathematics teachers' perceptions of the integration of technology into algebra education. With the growing emphasis on technology in education, it is crucial to understand how pre-education teachers see technology and engage in it when teaching mathematics. The research aims to gain a view of their beliefs,…
Descriptors: Preservice Teachers, Mathematics Teachers, Technology Integration, Educational Technology
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Silvia-Jessica Mostacedo-Marasovic; Holly C. White; Cory T. Forbes – Journal of Geoscience Education, 2025
The Food-Energy-Water (FEW) Nexus envisions interactions between water, energy, and food systems, in which water allocation decisions constitute complex socio-hydrologic issues. Undergraduate students need to develop skills to understand and make effective decisions about the FEW Nexus. We implemented a comprehensive curriculum where undergraduate…
Descriptors: Food, Water, Energy, Undergraduate Students
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Yang, Juan; Qi, X. F.; Liu, R.; Wang, L.; Sun, B. – Reading and Writing: An Interdisciplinary Journal, 2022
Computer-assisted textual enhancement (CATE) technology has been widely used to improve English as foreign language (EFL) learners' syntactical and grammatical learning. Visual attention, repetition, and prior knowledge are known as the vital factors in CATE-assisted knowledge-acquisition; however, there still lacks a model which can describe…
Descriptors: Observation, Repetition, Prior Learning, Grammar
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Frederike Kossack; Eike Uttich; Beate Bender – International Association for Development of the Information Society, 2023
In Engineering Design education, huge numbers of students are a challenge in university teaching, especially since the students have an initially heterogeneous level of technical knowledge, which influences their acquisition of competences. In frontal classroom lectures, individual deficits can hardly be addressed and in self-study phases,…
Descriptors: Engineering Education, Heterogeneous Grouping, College Students, Individualized Instruction
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Lia Machado Fiuza Fialho; Vanusa Nascimento Sabino Neves; Karla Angélica Silva Do Nascimento – Journal of Technology and Science Education, 2024
The Chat Generative Pre-trained Transformer (ChatGPT) is an artificial intelligence technology that engages in dialogue with humans, capable of generating formulations in the form of micro-narratives that can be problematized as a learning tool in the virtual space. This research aims to understand how ChatGPT can be used in teacher training as a…
Descriptors: Teacher Education, Virtual Classrooms, Graduate Study, Foreign Countries
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Clinton-Lisell, Virginia – Educational Psychology, 2022
Both medium (paper or screens) and interest have been noted as important factors in learning from reading text, but connections between them have not been examined. The purposes of this study are to examine whether reading medium and interest, both individual and situational, interact to predict performance on a reading assessment and whether…
Descriptors: Electronic Publishing, Books, Reading Interests, Performance
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Iannacchione, Alisionna; Ottmar, Erin; Ngo, Vy; Mason, Craig A.; Chan, Jenny Yun-Chen; Smith, Hannah; Drzewiecki, Kathryn C.; Shaw, Stacy T. – Instructional Science: An International Journal of the Learning Sciences, 2023
Prior research has shown negative relations between math anxiety and math performance. We posit that one potential pathway through which math anxiety influences performance of math equivalencies is through help seeking behavior during learning. Here, we examine whether middle school students' behavior, specifically the frequency of hint requests,…
Descriptors: Mathematics Anxiety, Prior Learning, Prompting, Mathematics Achievement
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Jingjing Ma; Qingtang Liu; Shufan Yu; Jindian Liu; Xiaojuan Li; Chunhua Wang – British Journal of Educational Technology, 2025
This research employs the fuzzy-set qualitative comparative analysis (fsQCA) method to investigate the configurations of multiple factors influencing scientific concept learning, including augmented reality (AR) technology, the concept map (CM) strategy and individual differences (eg, prior knowledge, experience and attitudes). A quasi-experiment…
Descriptors: Science Education, Scientific Concepts, Comparative Analysis, Qualitative Research
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Wammes, Dannie; Slof, Bert; Schot, Willemijn; Kester, Liesbeth – International Journal of Technology and Design Education, 2022
This study aimed to develop and validate, based on the Evidence Centered Design approach, a generic tool to diagnose primary education pupils' prior knowledge of technological systems in primary school classrooms. Two technological devices, namely the Buzz Wire device and the Stairs Marble Track, were selected to investigate whether theoretical…
Descriptors: Elementary School Students, Knowledge Level, Prior Learning, Educational Technology
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Murshida Parvin; Muneera Muftah – Open Education Studies, 2025
Task-based language teaching (TBLT) is widely recognized as an effective approach for developing second language (L2) learners' English skills. However, its success often depends on the teacher's ability to design engaging tasks and dynamic learning platforms that foster active participation. While previous studies highlight the importance of…
Descriptors: Age Groups, English (Second Language), Second Language Learning, Technology Integration
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Villena-Taranilla, Rafael; Cózar-Gutiérrez, Ramón; González-Calero, José Antonio; Diago, Pascual D. – Technology, Pedagogy and Education, 2023
Virtual Reality (VR) is an emerging technology with an increasing number of studies assessing its benefits in educational settings. However, there is a shortage of empirical studies aimed at evaluating the acceptance of this technology in primary education. The authors propose an extended version of the Technological Acceptance Model to examine…
Descriptors: Educational Technology, Computer Simulation, Electronic Learning, Elementary School Students
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Xiao-Ming Wang; Wen-Qing Zhou; Gwo-Jen Hwang; Shi-Man Wang; Tong Huang – Educational Technology & Society, 2024
Knowing the factors affecting students' learning achievement in digital learning is a crucial educational issue nowadays. However, recent research has paid less attention to how an individual's internal factors (prior knowledge) influence their learning achievement through cognitive engagement, and previous studies generally employed students'…
Descriptors: Electronic Learning, Prior Learning, Cognitive Processes, Learner Engagement
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Allison Liu; Jenny Yun-Chen Chan; Ji-Eun Lee; Lauren E. Decker-Woodrow; Shihfen Tu; Adam Sales; Craig A. Mason – Grantee Submission, 2022
The current study investigated how prior knowledge moderated the effects of three educational technologies ("From Here to There," "DragonBox 12+," and problem sets in "ASSISTments") on seventh-grade students' later algebraic knowledge. Pretest scores only moderated effects of "From Here to There," with…
Descriptors: Prior Learning, Program Effectiveness, Game Based Learning, Intervention
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Niknam, Mehdi; Thulasiraman, Parimala – Education and Information Technologies, 2020
The educational community has been interested in personalized learning systems that can adapt itself while providing learning support to different learners to overcome the weakness of 'one size fits all' approaches in technology-enabled learning systems. In this paper, one known problem in adaptive learning systems called curriculum sequencing is…
Descriptors: Educational Technology, Electronic Learning, Learning Theories, Computation
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