scholarly journals Peer moderation of asynchronous online discussions: An exploratory study of peer e-moderating behaviour

2016 ◽  
Author(s):  
Hajar Ghadirian
Keyword(s):  
Academic Performance ◽  
Information Exchange ◽  
Exploratory Study ◽  
Knowledge Construction ◽  
Online Discussions ◽  
Low Level ◽  
Quantitative Content ◽  
Asynchronous Online Discussions ◽  
High Level ◽  
Blended Course

<p>This study explored patterns of e-moderating behaviour students performed when they were assigned as peer moderators of asynchronous online discussions in a reciprocal manner. Eighty-four students from an undergraduate blended course were observed during a 7-week-long online discussions. Using quantitative content analysis peer moderators’ interventions were analysed based on Smet, Keer, Wever, and Valcke’s (2010) scheme. The descriptive results show information exchange and knowledge construction supports were of continuous importance. Finally, a cluster analysis identified three distinct patterns of e-moderating behaviour: low-level moderators, mid-level moderators, and high-level moderators. The clusters differed in types of e-moderating support as well as their patterns of participation. High-level moderators dominated knowledge construction support and showed high level of online participation. Mid-level moderators dominated information exchange support and exhibited a moderate level of participation. Socialisation support and low level of participation were characteristics of low-level moderators. We further examined how these approaches were related to peer moderators’ perceptions of online discussions and academic performance. The results indicate that high-level moderators scored highest on all aspects of perceptions of online discussions and outperformed peer moderators in the other clusters with regard to academic performance.</p>

scholarly journals Growth patterns and E-Moderating Supports in Asynchronous Online Discussions in an Undergraduate Blended Course

2016 ◽  
Vol 17 (3) ◽  
Author(s):  
Hajar Ghadirian ◽  
Ahmad Fauzi Mohd Ayub ◽  
Kamariah Binti Abu Bakar ◽  
Maryam Hassanzadeh
Keyword(s):  
Information Exchange ◽  
Knowledge Construction ◽  
Growth Patterns ◽  
Online Discussions ◽  
Threaded Discussions ◽  
Asynchronous Online Discussions ◽  
Use Of Knowledge ◽  
The Impact ◽  
Blended Course

<p>This study presents a case study of asynchronous online discussions’ (AOD) growth patterns in an undergraduate blended course to address the gap in our current understanding of how threads are developed in peer-moderated AODs. Building on a taxonomy of thread pattern proposed by Chan, Hew and Cheung (2009), growth patterns of thirty-six forums were explored on three patterns: Short Thread Pattern (SHTP), Extended Thread Pattern (ETP), and Split Thread Pattern (STP). The impact of peer moderating supports on thread growth was also investigated. Types of peer moderators’ supports were explored utilizing a coding scheme from Smet, Keer, Wever, and Valcke’s (2010) study. STP pattern was found to be more common than the other patterns with 74 (37.94%) out of 195 threaded discussions growing on it. The results also showed that, compared to SHTP, in both STP and ETP the occurrences of ‘Information exchange’ and ‘Knowledge construction’ supports appeared to be more, while the presences of supports stimulating ‘Development’, ‘Access and motivation’ and ‘Socialization’ were less. Furthermore, the use of ‘Access and motivation’ and ‘Socialization’ supports appeared to enhance early thread termination when used individually. Thread continuity was reinforced by the use of ‘Knowledge construction’ support with other moderating supports.<em></em></p>

scholarly journals An Evaluative Study of Memorization as a Strategy for Learning English

2016 ◽  
Vol 6 (4) ◽  
pp. 248
Author(s):  
Khalid Sabie Khamees
Keyword(s):  
Exploratory Study ◽  
Cognitive Strategies ◽  
Cognitive Strategy ◽  
Literary Texts ◽  
Low Level ◽  
Evaluative Study ◽  
Item Questionnaire ◽  
High Level ◽  
Learning English

This exploratory study elicits learners’ views regarding the utility of using memorization as a strategy for learning English. It exclusively investigates the extent of learners’ use of the memorization strategy, the reasons that motivate them to memorize, the problems they encounter and the techniques they resort to to overcome these problems. 66 undergraduate participants answered a thirty-item questionnaire. The results revealed that most efficient as well as inefficient learners used the memorization strategy mainly for learning vocabulary, definitions, and literary texts. They were in favour of using this strategy because it helps them improve their achievements in English. It was found that understanding should be given priority over the memorization activity. Learners who adopt this strategy often forget what they memorized, could not differentiate between important and unimportant information, and were incompetent to make inferences. It can be concluded that memorization is a low-level cognitive strategy that can be used among other high- level cognitive strategies in the process of learning English.

Ability, Home Environment, and Belief in a Just World as Determinants of Allocation of Rewards

1975 ◽  
Vol 36 (1) ◽  
pp. 295-298
Author(s):  
Miron Zuckerman
Keyword(s):  
Academic Performance ◽  
Home Environment ◽  
Just World ◽  
Low Level ◽  
Examination Performance ◽  
High Level ◽  
Low Ability

150 subjects were given information about the aptitude and home environment of four hypothetical students they were going to grade. Aptitude was described as being either low or high; home environment was described as being either detrimental or conducive to academic performance. Subjects' beliefs in a just world were also measured on Rubin and Peplau's Just World Scale (1973). With examination performance held constant, low ability and detrimental home environment were related to higher grades. Further, the association between high grades and detrimental home environment was stronger among subjects with high level of belief in a just world than among subjects with low level of belief in a just world. The association between high grades and low ability was not affected, however, by level of belief in a just world. It was suggested that subjects who strongly believed in a just world considered students from “detrimental” home environment, but not students with low ability, as deserving high grades.

scholarly journals Academic Performance as a Function of Level of Aspiration & Gender – A Comparative Study amongst Different Streams of Education

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
Anshu Paliwal ◽  
Dr. Nanda Rathi
Keyword(s):  
Academic Performance ◽  
Comparative Study ◽  
Low Achievers ◽  
Low Level ◽  
Significant Difference ◽  
The Difference ◽  
High Level ◽  
Age Range ◽  
Level Of Aspiration ◽  
Better Than

The present study examines the level of aspiration of students belonging to different streams of education and its impact on academic performance. The sample of the study consisted of 717 students (358 males and 358 females). The age range of the sample was 18 to 19 years. Tool used for measuring level of aspiration was Level of Aspiration Measure developed by Dr. Mahesh Bhargava and Prof. M A Shah. Goal Discrepancy Score is the difference between aspiration and the achievement on the same trial. The percentiles of marks obtained in the last qualifying exam were treated as an indicator of academic performance. For inferential purpose the data was treated with ANOVA and Scheffe’s test of Multiple Comparison. The findings of the study revealed that no significant difference exists between Academic Performance of students with high and low achievers belonging to Engineering and Management streams of education; however there exists significant differences between academic performances of students with high and low Level of Aspiration belonging to Law fraternity; with students showing low Level of Aspiration performing better than students with high Level of Aspiration. There exists no significant difference between academic performance of boys and girls with respect to Level of Aspiration in engineering stream. However, there exists significant difference between academic performance of boys and girls with respect to Level of Aspiration in Management and Legal streams of education. In both the streams girls outshine boys.

scholarly journals Multistage Polymerization Network for Multiperson Pose Estimation

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yu-Fei Bai ◽  
Hong-Bo Zhang ◽  
Qing Lei ◽  
Ji-Xiang Du
Keyword(s):  
Pose Estimation ◽  
Information Exchange ◽  
Spatial Information ◽  
Complex Problem ◽  
Feature Maps ◽  
Low Level ◽  
Discriminative Feature ◽  
Level Information ◽  
Public Datasets ◽  
High Level

Multiperson pose estimation is an important and complex problem in computer vision. It is regarded as the problem of human skeleton joint detection and solved by the joint heat map regression network in recent years. The key of achieving accurate pose estimation is to learn robust and discriminative feature maps. Although the current methods have made significant progress through interlayer fusion and intralevel fusion of feature maps, few works pay attention to the combination of the two methods. In this paper, we propose a multistage polymerization network (MPN) for multiperson pose estimation. The MPN continuously learns rich underlying spatial information by fusing features within the layers. The MPN also adds hierarchical connections between feature maps at the same resolution for interlayer fusion, so as to reuse low-level spatial information and refine high-level semantic information to obtain accurate keypoint representation. In addition, we observe a lack of connection between the output low-level information and the high-level information. To solve this problem, an effective shuffled attention mechanism (SAM) is proposed. The shuffle aims to promote the cross-channel information exchange between pyramid feature maps, while attention makes a trade-off between the low-level and high-level representations of the output features. As a result, the relationship between the space and the channel of the feature map is further enhanced. Evaluation of the proposed method is carried out on public datasets, and experimental results show that our method has better performance than current methods.

Content Analysis of Wiki Discussions for Knowledge Construction

2012 ◽  
Vol 7 (2) ◽  
pp. 28-42
Author(s):  
Vasa Buraphadeja ◽  
Swapna Kumar
Keyword(s):  
Content Analysis ◽  
Web 2.0 ◽  
Knowledge Construction ◽  
Online Discussions ◽  
Hybrid Courses ◽  
New Learning Environments ◽  
New Learning ◽  
Asynchronous Online Discussions ◽  
Collaborative Knowledge ◽  
Collaborative Knowledge Construction

Research on several aspects of asynchronous online discussions in online and hybrid courses has been successfully conducted using content analysis in the past. With the increase in Web 2.0 and social media use in education, research on knowledge construction within newer virtual environments like blogs or wikis is just emerging. This study applies a well-known model of content analysis for knowledge construction to an educational wiki environment. Twelve graduate students’ contributions to a wiki in a 14-week on-campus course on Web 2.0 technologies in education are analyzed. Results indicate that the wiki platform fosters collaborative knowledge construction and that is necessary to develop new frameworks to analyze content in new learning environments. Wiki environments provide opportunities for researchers to capture the process of collaboration, knowledge construction, and meta-cognition.

Teknik Data Mining Dalam Clustering Produksi Susu Segar Di Indonesia Dengan Algoritma K-Means

2019 ◽  
Vol 1 (1) ◽  
pp. 31-39
Author(s):  
Ilham Safitra Damanik ◽  
Sundari Retno Andani ◽  
Dedi Sehendro
Keyword(s):  
Data Mining ◽  
Milk Production ◽  
Clustering Algorithm ◽  
Clustering Method ◽  
Data Mining Techniques ◽  
Low Level ◽  
Fresh Milk ◽  
Nutritional Needs ◽  
High Level ◽  
Level Cluster

Milk is an important intake to meet nutritional needs. Both consumed by children, and adults. Indonesia has many producers of fresh milk, but it is not sufficient for national milk needs. Data mining is a science in the field of computers that is widely used in research. one of the data mining techniques is Clustering. Clustering is a method by grouping data. The Clustering method will be more optimal if you use a lot of data. Data to be used are provincial data in Indonesia from 2000 to 2017 obtained from the Central Statistics Agency. The results of this study are in Clusters based on 2 milk-producing groups, namely high-dairy producers and low-milk producing regions. From 27 data on fresh milk production in Indonesia, two high-level provinces can be obtained, namely: West Java and East Java. And 25 others were added in 7 provinces which did not follow the calculation of the K-Means Clustering Algorithm, including in the low level cluster.

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