scholarly journals Would It Be Better if Instructors Technically Adjust Their Image or Voice in Online Courses? Impact of the Way of Instructor Presence on Online Learning

2021 ◽  
Vol 12 ◽  
Author(s):  
Mingze Yuan ◽  
Jialing Zeng ◽  
Aihua Wang ◽  
Junjie Shang

This study investigated the effects of the changes in the image and voice of instructors in online video courses on online learner's learning achievement, social presence, learning satisfaction, and academic emotion. Two simultaneous online experiments were conducted with 122 college students in the image experiment, where the course videos varied in terms of the instructor's image (original image, face-beautified image, virtual image, and no image), and 93 college students in the voice experiment, where the course videos varied in terms of the instructor's voice (original voice, mutated voice, computer-synthesized voice). The results showed that learners viewing videos without instructor images had better learning achievements and less academic boredom relative to those who viewed videos with instructor images. However, the real instructor images were able to promote learners' learning satisfaction of instructor-student interaction more than no image and virtual image and promote satisfaction of instructor teaching more than virtual image. Meanwhile, learners' evaluation of the real instructor images was better than that of the virtual instructor image, and their evaluation of the face-beautified instructor image was better than the original image. Moreover, learners evaluated real instructor voices better than the computer-synthesized voice. In addition, the linear regression analysis revealed that the evaluations of both instructor's image and voice had a positive relationship with learners' social presence, learning satisfaction, and enjoyment, whereas they had a negative relationship with learner's boredom. And the evaluation of the instructor's image positively predicted student's transfer learning achievement. Thus, we suggested that the way of instructor presence should be well-designed and integrated with the course's instructional design and image and voice processing technology can be applied to assist online video course development.

2017 ◽  
Vol 15 (1) ◽  
pp. 100
Author(s):  
Herlina Herlina

The purpose of this study was to compare the learning achievement using cooperative learning model Student Teams Achievement Divisions with cooperative learning model Student Teams Achievement Divisions modification of guided discovery in terms of verbal abality. Based on the results of the study concluded that (1) based on a model of learning, the mathematics achievement of students who use cooperative learning model Student Teams Achievement Divisions as good with mathematics achievement of students who use cooperative learning model Student Teams Achievement Divisions modifications guided discovery, both onstudents who have the high verbal skills, medium and low, (2) base on terms of verbal skills, mathematics achievement of students who have high verbal ability is better than mathematics achievement of students who have medium and low verbal ability, and mathematics achievement of students have medium verbal skillsbetter than mathematics achievement of students have the ability low verbal skills. Tujuan penelitian ini adalah untuk mengetahui perbandingan prestasi belajar yang menggunakan model pembelajaran kooperatif tipe Student Teams Achievement Divisions dengan model pembelajaran kooperatif tipe Student Teams Achievement Divisions modifikasi penemuan terbimbing ditinjau dari kemamuan verbal. Berdasarkan hasil penelitian disimpulkan bahwa (1) berdasarkan model pembelajaran, prestasi belajar matematika peserta didik yang menggunakan model pembelajaran kooperatif tipe Student Teams Achievement Divisions sama baiknya dengan prestasi belajar matematika peserta didik yang dikenai model pembelajaran kooperatif tipe Student Teams Achievement Divisions modifikasi penemuan terbimbing,baik pada peserta didik yang memiliki kemampuan verbal tinggi, sedang dan rendah, (2) ditinjau dari kemampuan verbal, peserta didik yang memiliki kemampuan verbal tinggi lebih baik daripada peserta didik yang memiliki kemampuan verbal sedang dan rendah, dan peserta didik yang memiliki kemampuan verbal sedang lebih baik daripada peserta didik yang memiliki kemampuan verbal rendah.


Author(s):  
Ek Ajeng Rahmi Pinahayu ◽  
Aulia Ar Rakhman Awaludin ◽  
Purni Munah Hartuti

The study aims to determine the effectiveness of mathematics learning achievement for students who are subject to the Problem Based Learning model assisted by CD Learning and CD Interactive as well as Conventional learning models on flat-build material. The population in this study were seventh grade students of SMP Negeri 223 Jakarta Timur in the academic year 2017/2018. By using selected cluster random sampling techniques VII 3 as the control class, VII 6 and VII 7 respectively as the experimental class PBL models assisted CD learning and assisted PBL models CD Interactive. Data were obtained by documentation and tests, then analyzed by Normality, Homogeneity, One-way Variant Analysis (ANOVA), Two-party and One-party Similarity Test. The results showed that there were significant differences between mathematics learning achievement of students who were taught by learning using PBL models assisted by CD Interactive, PBL models assisted by CD learning and conventional learning. Learning achievement of students who get learning using CD Interactive media is better than students who get conventional learning. Likewise, the learning achievements of students who get learning using CD Learning, media are better than students who get conventional learning. In addition, there were no significant differences between the mathematics learning outcomes of students who were taught using PBL models assisted by CD Interactive and students using PBL models assisted by CD Learning.


2021 ◽  
Vol 13 (5) ◽  
pp. 2888
Author(s):  
Li Zhao ◽  
Xiaohong Liu ◽  
Yu-Sheng Su

To analyze how variability changes over time can enhance the understanding of how learners’ self-efficacy, motivation, and satisfaction is controlled and why differences might exist among groups of individuals. Therefore, this study compared the effect of variability on pre-service teacher students in the flipped classroom approach with a course named modern educational technology (MET). In total, 77 students in two groups participated in this study. Learners in the experimental group received the flipped classroom treatment. Learners in the control group received the traditional lecture-centered instructional approach. The learning outcomes were evaluated by practice assignment, transfer assignment, and student perception survey. The survey includes the evaluation of learning satisfaction, self-efficacy, and learning motivation. Pre-test and post-test were conducted by the two groups. The data analysis results applied analysis of variance (ANOVA) or analysis of covariance (ANCOVA) and revealed that the experimental group displayed a better learning achievement than the control group. The experimental group participants’ perception also showed variability (i.e., learning satisfaction, self-efficacy, and learning motivation) was better than the control group. Considering the overall study results, the flipped classroom model can be applied in the pre-service teacher students’ modern educational technology course.


2018 ◽  
Vol 8 (3) ◽  
pp. 226-236
Author(s):  
Elizabeth A. Daniels

Using an experimental methodology, the present study assessed college students’ perceptions of a male peer who presented himself on Facebook in either an objectified or nonobjectified manner. One hundred eighty-nine college students ( n = 111 women, n = 78 men) viewed a Facebook profile with either an objectified or a nonobjectified profile photo of the same young man and then evaluated the profile owner. They also reported on the desirability of dating the profile owner. Results indicated that the objectified profile owner was considered less competent but not less socially appealing or physically attractive. Participants liked the nonobjectified profile and profile photo better than the objectified profile and profile photo. There was also more interest in a committed dating relationship with the nonobjectified profile owner than the objectified profile owner. Findings suggest that using an objectified profile photo on Facebook may come with some costs for young men.


2017 ◽  
Vol 2017 ◽  
pp. 1-8
Author(s):  
Xingcheng Li ◽  
Shuangbiao Zhang

To solve the real-time problem of attitude algorithm for high dynamic bodies, a real-time structure of attitude algorithm is developed by analyzing the conventional structure that has two stages, and a flow diagram of a real-time structure for a Matlab program is provided in detail. During the update of the attitude matrix, the real-time structure saves every element of attitude matrix in minor loop in real time and updates the next attitude matrix based on the previous matrix every subsample time. Thus, the real-time structure avoids lowering updating frequency, though the multisubsample algorithms are used. Simulation and analysis show that the real-time structure of attitude algorithm is better than the conventional structure due to short update time of attitude matrix and small drifting error, and it is more appropriate for high dynamic bodies.


2011 ◽  
Vol 143-144 ◽  
pp. 770-774 ◽  
Author(s):  
Shou Lei Lu ◽  
Long Zhao ◽  
Chang Yun Zhang

In order to solve the problem of the traditional Tercom, which is sensitive to the speed error and yaw angle error, an improved Tercom approach using with fading factor is introduced. The basic idea of this approach is to estimate the navigation position by a novel correlation function. The correlation function is calculated by weighted historical measurements. Experiment results with the real data show that this approach performs better than the traditional Tercom with regard to overcoming velocity error and yaw angle error.


2020 ◽  
Author(s):  
Luiz Felipe Vercosa ◽  
Rodrigo Lira ◽  
Rodrigo Monteiro ◽  
Kleber Silva ◽  
Jailson Magalhaes ◽  
...  

Standard features used for Credit Scoring includes mainly registration and financial data from customers. However, exploring new features is of great interest for financial companies, since slight improvements in the person score directly impact the company revenue. In this work, we categorize features from open credit scoring datasets and compare them with the features found in a real company dataset. The company dataset contains unusual feature groups such as historical, geolocation, web behavior, and demographic data. We performed bivariate tests using the Kolmogorov-Smirnov metric and features to assess the performance of the particular feature groups. We also generated a score of good payer by using AdaBoost, Multilayer Perceptron, and XGBoost algorithms. Then, we analyzed the results with different metrics and compared them with the real company results. Our main finding was that these features added a small improvement to current datasets. We also identified the most promising feature groups and noticed that the tuned XGBoost performed better than the company solution in three out of four deployed metrics.


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