scholarly journals The Effectiveness of Google Classroom as Asynchronous Learning Media in Civics Learning

2021 ◽  
Vol 5 (1) ◽  
pp. 119
Author(s):  
Tusti Setiawati ◽  
Ega Prakarsa
Author(s):  
Alexandra Davidson ◽  
Lisa Romkey ◽  
Allison Van Beek

Due to the increasing prevalence of asynchronous learning platforms, the development and implementation of online discussion boards have become important considerations in the design of post-secondary learning environments. This research is conducted as a case study of the online discussion board use in a small engineering education graduate course, consisting of in-class and online discussion components. By varying the structure of the online discussion board to allow different types of student interaction, the study identifies trends in discussion board use, specifically pertaining to student participation, student collaboration, and the integration between in-class and online discussions. As a result, the study provides insight into the utility and limitations of online discussion boards in post-secondary courses.  


Science Scope ◽  
2014 ◽  
Vol 037 (08) ◽  
Author(s):  
John Coup ◽  
Nicole Ackerson

2021 ◽  
pp. 105345122110018
Author(s):  
Matthew L. Love ◽  
Kathy B. Ewoldt

Online learning continues to be an increasingly popular option in K–12 and postsecondary settings As this trend continues, it is important that the developers of online instructional environments and materials proactively consider the needs of all students. This includes determining how special education and specially designed instruction can be provided in online environments. For students with learning disabilities (LD), a systematic process for determining whether available learning materials address academic standards and specific student needs is key. To support practitioner lesson planning, this column provides guidance for aligning asynchronous learning materials to academic standards and the needs of students with LD. Guidance for supplementing and augmenting available materials is also provided.


2021 ◽  
Vol 8 ◽  
pp. 237428952110068
Author(s):  
Kara S. Tanaka ◽  
Rageshree Ramachandran

In mid-March 2020, our institution removed most medical students from in-person clinical clerkships due to the COVID-19 pandemic. The Department of Pathology responded by transitioning a fourth-year clinical elective to an all-remote format composed of synchronous didactics, daily clinical sign-out utilizing digital microscopy, and asynchronous learning materials. Thirty-seven medical students completed 2- or 4-week anatomic pathology electives tailored to meet their career goals and allowing them to progress toward graduation. Institutional Review Board approval was granted to survey students’ perceptions of engagement in the remote learning environment. Quantitative and qualitative data were collected using a standardized school-wide end-of-rotation survey, an online survey developed by the authors, and students’ self-directed learning goals. End-of-rotation data showed the remote pathology course performed well (4.88 of possible 5) when compared to all advanced clinical clerkships (4.51, n = 156 courses), all elective rotations (4.41, n = 50 courses), and the traditional in-person pathology elective (4.73). Core strengths in the virtual environment included high educational value, flexibility of content and schedule, organization, tailoring to an individual’s learning goals, and a positive education environment. Deficits included the inability to gross surgical specimens, inadequate observation or feedback about students’ skills, and impaired social connections. Areas for improvement included requests for in-person experiences and development of themed tracks for career exploration. Many aspects of anatomic pathology appear well-suited to the remote learning environment. While the remote model may not be sufficient for students pursuing careers in pathology, it can be adapted to increase nonpathologists’ understanding of interdisciplinary clinical collaboration with pathologists.


2011 ◽  
Vol 145 ◽  
pp. 277-281
Author(s):  
Vaci Istanda ◽  
Tsong Yi Chen ◽  
Wan Chun Lee ◽  
Yuan Chen Liu ◽  
Wen Yen Chen

As the development of network learning, video compression is important for both data transmission and storage, especially in a digit channel. In this paper, we present the return prediction search (RPS) algorithm for block motion estimation. The proposed algorithm exploits the temporal correlation and characteristic of returning origin to obtain one or two predictive motion vector and selects one motion vector, which presents better result, to be the initial search center. In addition, we utilize the center-biased block matching algorithms to refine the final motion vector. Moreover, we used adaptive threshold technique to reduce the computational complexity in motion estimation. Experimental results show that RPS algorithm combined with 4SS, BBGDS, and UCBDS effectively improves the performance in terms of mean-square error measure with less average searching points. On the other hand, accelerated RPS (ARPS) algorithm takes only 38% of the searching computations than 3SS algorithm, and the reconstruction image quality of the ARPS algorithm is superior to 3SS algorithm about 0.30dB in average overall test sequences. In addition, we create an asynchronous learning environment which provides students and instructors flexibility in learning and teaching activities. The purpose of this web site is to teach and display our researchable results. Therefore, we believe this web site is one of the keys to help the modern student achieve mastery of complex Motion Estimation.


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