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Monica F. Contrino; Maribell Reyes-Millán; Patricia Vázquez-Villegas; Jorge Membrillo-Hernández – Smart Learning Environments, 2024
It is becoming increasingly clear that not all students require the same education, and the requirement of personalized education is increasingly in demand. The incorporation of adaptive learning (AL) has increased in recent years. However, research on this subject is still evolving at the university level. In this study, we investigated the…
Descriptors: Individualized Instruction, Academic Achievement, Student Satisfaction, Online Courses
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Erdogan, Rumeysa; Saglam, Zeynep; Cetintav, Gulay; Karaoglan Yilmaz, Fatma Gizem – Smart Learning Environments, 2023
Like all sectors, the education sector has been negatively affected by the Covid-19 pandemic. Considering the decision to conduct face-to-face training in schools remotely, teachers had many difficulties in moving course content to the online platform. Teachers who perform robotic coding applications are looking for ways to do these activities…
Descriptors: COVID-19, Pandemics, Educational Technology, Online Courses
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Ahmady, Soleiman; Kohan, Noushin; Mirmoghtadaie, Zohreh Sadat; Hamidi, Hadi; Sabet Divshali, Babak; Rakhshani, Tayebeh; Khani Jeihooni, Ali – Smart Learning Environments, 2023
Background: Today, methods that enable students to benefit from online programs to the fullest and learn independently and self-directed are of critical importance. Many scales have been developed to measure self-directed learning in the physical classroom. This study was conducted to design and assess the psychometric properties of an instrument…
Descriptors: Test Construction, Psychometrics, Educational Technology, Test Validity
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Kerimbayev, Nurassyl; Umirzakova, Zhanat; Shadiev, Rustam; Jotsov, Vladimir – Smart Learning Environments, 2023
A literature review was conducted to develop a clear understanding of the student-centered approach using modern technologies in distance learning. The study aimed to address four research questions: What research experience already exists in the field of the student-centered approach in distance learning? What modern technologies are used in…
Descriptors: Student Centered Learning, Technology Uses in Education, Distance Education, Electronic Learning
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Segbenya, Moses; Bervell, Brandford; Minadzi, Vincent Mensah; Somuah, Beatrice Asante – Smart Learning Environments, 2022
This study examined perspectives of distance education students on online learning based on their access gadgets (availability and functionality), online presentation or teaching methods, actual use of online learning coupled with its challenges. A quantitative approach and descriptive survey design were adopted for the study. A sample of 1061 was…
Descriptors: Distance Education, Online Courses, COVID-19, Pandemics
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Abdullah, Siti Intan Nurdiana Wong; Arokiyasamy, Klara; Goh, Sock Leng; Culas, Andrea Joveena; Manaf, Nor Masheera Abdul – Smart Learning Environments, 2022
Technology has enabled the higher education ecosystem to tailor to the students who have diverse needs and to engage with them remotely, especially when face-to-face interaction is not possible. This research contributes knowledge in forced remote learning during the unprecedented global pandemic situation of COVID-19. Using a cross-sectional…
Descriptors: Student Satisfaction, COVID-19, Pandemics, College Students
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Beck Wells, Melissa – Smart Learning Environments, 2022
Universal design for learning (UDL) in higher education may be a useful tool in supporting the heterogenous higher education student population, specifically in supporting student academic outcomes and retention. With more students enrolling in digital formatted education, specifically international students, a strong framework must be established…
Descriptors: Higher Education, Access to Education, Academic Achievement, Undergraduate Students
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Chattaraj, Dishari; Vijayaraghavan, Arya Parakkate – Smart Learning Environments, 2021
The study, through the framework of mobility and space, explores the phenomenon of multiple shifts in learning spaces induced by COVID-19. The Interpretative Phenomenological Approach (IPA) is adopted to document the experiences and perceptions of learners caught within these spatial shifts--physical, online, and hybrid. Online interviews were…
Descriptors: COVID-19, Pandemics, Phenomenology, Educational Environment
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Sage, Kara; Jackson, Sophia; Fox, Emily; Mauer, Larissa – Smart Learning Environments, 2021
The COVID-19 pandemic caused many colleges to quickly shift to virtual learning, leading students to rely on technology to complete coursework while also experiencing new situations and stressors. The present study explored students' technology use in their online course in conjunction with several student outcomes and individual difference…
Descriptors: COVID-19, Pandemics, School Closing, Online Courses
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Stephen, Jacqueline S.; Rockinson-Szapkiw, Amanda J. – Smart Learning Environments, 2021
Student enrollment continues to increase in online programs, but there is concern surrounding the reportedly high rates of attrition in online classes compared to face-to-face classes. Undergraduate students are poorly prepared and lack the human agency necessary for success in the online learning environment. To address the lack of persistence of…
Descriptors: Electronic Learning, Online Courses, First Year Seminars, Academic Persistence
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Papamitsiou, Zacharoula; Filippakis, Michail E.; Poulou, Marilena; Sampson, Demetrios; Ifenthaler, Dirk; Giannakos, Michail – Smart Learning Environments, 2021
In the era of digitalization of learning and teaching processes, Educational Data Literacy (EDL) is highly valued and is becoming essential. EDL is conceptualized as the ability to collect, manage, analyse, comprehend, interpret, and act upon educational data in an ethical, meaningful, and critical manner. The professionals in the field of…
Descriptors: Multiple Literacies, Instructional Design, Tutors, Electronic Learning
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Bringula, Rex; Reguyal, Jon Jester; Tan, Don Dominic; Ulfa, Saida – Smart Learning Environments, 2021
In this mixed-methods research, the relationship between four factors of individual online learners and their mathematics self-concept was explored. In addition, the challenges the students faced in learning mathematics online during the Coronavirus disease (COVID-19) pandemic were determined. The participant students were from two mathematics…
Descriptors: Mathematics Education, Self Concept, Electronic Learning, COVID-19