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Kimberly Dallari – BU Journal of Graduate Studies in Education, 2024
As our literate society becomes aware of the gaps between education and educational achievement, teachers of reading must deliver a superior reading program. To sharpen their skills, teachers of reading must research and educate themselves on essential reading instruction components, useful professional development, the characteristics that define…
Descriptors: Reading Instruction, Faculty Development, Student Characteristics, Educational Resources
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Leonard Puderbach; Alexandra Petrak; Fabian Wolff – Discover Education, 2024
The COVID-19 pandemic challenged universities to maintain teaching, leading to online classes becoming the standard teaching mode and accelerating digitalization. Learning from the influence of these developments on students' technology commitment may hold valuable information for various stakeholders. The present study investigated the…
Descriptors: COVID-19, Pandemics, Educational Technology, Educational Change
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Amanda J. Shaker; Christopher Brignell; Mathew Pugh – International Journal of Mathematical Education in Science and Technology, 2025
A commonly-held belief is that many university students are 'assessment-driven'; that is, students engage more with activities that are assessed compared with those that are not. 'Incentivised engagement' includes the practice of providing incentives (such as marks or otherwise) for students to engage in particular activities. Perusall is a social…
Descriptors: Undergraduate Students, Reading Assignments, Educational Technology, Technology Uses in Education
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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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Santhi Muttipoll Dharmarajlu – Journal of Educators Online, 2025
This study aims to assess students' preferences for using print books versus ebooks. For this study, 160 students were selected by using a descriptive cross-sectional survey design. The data collected were analyzed using descriptive and inferential statistics. The results show that the duration of time students spent per day reading print books…
Descriptors: Textbooks, Printed Materials, Electronic Books, Student Attitudes
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Hui Shi; Yihang Zhou; Vanessa P. Dennen; Jaesung Hur – Education and Information Technologies, 2024
The imbalance in student-teacher ratio and the diversity of student population pose challenges to MOOC's quality of instructor support. An understanding of student profiles, such as who they are and how they behave, is critical to improving personalized support of MOOC learning environments. While past studies have explored different types of…
Descriptors: MOOCs, Behavior Patterns, Student Behavior, Cluster Grouping
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Mohammad Jamshed; Iftikhar Alam; Sultan Al Sultan; Sameena Banu – Journal of Education and e-Learning Research, 2024
The study investigates EFL (English as a Foreign Language) learners' opinions, attitudes and the challenges of incorporating AI-powered teaching and learning. It also examines how their ideas and attitudes are affected by demographic variables. 258 students were selected using a random sampling method from a population comprising students studying…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Student Attitudes
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Jaclyn Ocumpaugh; Rod D. Roscoe; Ryan S. Baker; Stephen Hutt; Stephen J. Aguilar – International Journal of Artificial Intelligence in Education, 2024
The artificial intelligence in education (AIED) community has produced technologies that are widely used to support learning, teaching, assessment, and administration. This work has successfully enhanced test scores, course grades, skill acquisition, comprehension, engagement, and related outcomes. However, the prevailing approach to adaptive and…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Individualized Instruction
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Sigit D. Laksana; Punaji Setyosari; Henry Praherdhiono; Dedi Kuswandi; Dahlia Jannan – Pegem Journal of Education and Instruction, 2024
Mathematics is one of the essential subjects for students because it focuses more on the ability to remember, memorize, and interpret. In addition, gamification in mathematics is excellent since it promotes critical and creative problem-solving and enhances children's metacognitive abilities. This experimental study investigates the impact of…
Descriptors: Gamification, Metacognition, Mathematics Skills, Problem Solving
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Lang, Guido; Sharp, Jason H. – Information Systems Education Journal, 2023
Micro-credentials have received renewed attention by universities as a potential pathway to highdemand careers. The goals of this study were to understand the prevalence of micro-credentials offered by universities, the characteristics of universities offering micro-credentials generally and information systems (IS) micro-credentials specifically,…
Descriptors: Microcredentials, Higher Education, Educational Technology, Institutional Characteristics
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Joan, D. R. Robert; Sheeja, Y. – Journal on School Educational Technology, 2022
In the current scenario, Swayam learning is becoming a part of the curriculum of higher education. At this point, the prospective teachers are not staying away from the word "swayam." In the curriculum of the College of Education, there is a compulsory certificate course from Swayam Learning App. All the candidates who are getting a…
Descriptors: MOOCs, Academic Achievement, Preservice Teachers, Foreign Countries
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Qiong Wang; Guoqing Zhao; Jinglan Zeng – Australasian Journal of Educational Technology, 2024
Although studies have highlighted the importance of facilitating conditions in enhancing students' digital informal learning (DIL), the effect mechanism is still unclear. This study examined the mediating role of digital competence and the moderating role of technostress between facilitating conditions and DIL. Data were collected from 385…
Descriptors: Educational Technology, Technology Uses in Education, Technological Literacy, Stress Variables
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Robert Weinhandl; Lena Maria Kleinferchner; Carina Schobersberger; Katharina Schwarzbauer; Tony Houghton; Edith Lindenbauer; Branko Andic; Zsolt Lavicza; Markus Hohenwarter – Journal of Mathematics Teacher Education, 2025
Personas, initially originated in user experience research, are short and simplified representations of particular user groups, and this methodological approach has recently gained ground in educational research. This study aims to explore aspects of personas that may be beneficial for prospective mathematics teachers when they develop digital…
Descriptors: Preservice Teachers, Mathematics Teachers, Mathematics Instruction, Teaching Methods
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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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Ashraf, Erum; Manickam, Selvakumar; Karuppayah, Shankar; Malik, Sufiana Khatoon – Journal of Educators Online, 2023
As the drive to move from traditional face-to-face classroom learning to e-learning is ever in demand, the knowledge corpus exposed to students can be overwhelming because there is a need to automate certain functions of the e-learning framework. One of these functions is the course recommendation feature. Course recommendations help students save…
Descriptors: Electronic Learning, Cognitive Style, Student Behavior, Course Selection (Students)
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