Human pose recognition via adaptive distribution encoding for action perception in the self-regulated learning process

2021 ◽  
pp. 103660
Author(s):  
Hai Liu ◽  
Yu Chen ◽  
Wanli Zhao ◽  
Shengqiang Zhang ◽  
Zhaoli Zhang
Keyword(s):  
Learning Process ◽  
The Self ◽  
Action Perception ◽  
Pose Recognition ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Human Pose

scholarly journals Implementing a self-regulated WebQuest learning system for Chinese elementary schools

2012 ◽  
Vol 28 (2) ◽  
Author(s):  
Hsien-Sheng Hsiao ◽  
Chung-Chieh Tsai ◽  
Chien-Yu Lin ◽  
Chih-Cheng Lin
Keyword(s):  
Elementary Schools ◽  
Learning Process ◽  
Self Regulation ◽  
Sixth Graders ◽  
Learning System ◽  
The Self ◽  
Control Group ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Experimental Group

<span>The rapid growth of Internet has resulted in the rise of WebQuest learning recently. Teachers encourage students to participate in the searching for knowledge on different topics. When using WebQuest, students' self-regulation is often the key to successful learning. Therefore, this study establishes a self-regulated learning system to assist learners in employing WebQuest learning in a self-regulated learning pattern as well as to give teachers opportunities to monitor and assist students' performance. The participants in the study are sixth graders of an elementary school in Taipei County, Taiwan. The experimental group and the control group are composed of three classes respectively. The current study investigates the correlation between students' self-regulated behavior and their achievement when using WebQuest learning through the self-regulated learning assisted functions and traditional WebQuest learning. In addition, learners' self-regulated behavior is observed and analysed based on the system records as well as their behaviour in the learning process.</span>

scholarly journals Promoting Self-Regulatory Skills in Self-Regulated Learning Pre-School Education Stage 3

2021 ◽  
Author(s):  
Ilze Šūmane ◽  
◽  
Līga Āboltiņa
Keyword(s):  
Learning Process ◽  
Self Regulation ◽  
School Education ◽  
The Self ◽  
Learning Goals ◽  
Self Directed Learning ◽  
Self Regulated Learning ◽  
The Third ◽  
Third Stage ◽  
Regulated Learning

The competence approach in pre-school education, which recommends the promotion of self-regulated learning, raises questions about its impact on the development of children’s self-regulation. As a cross-cutting skill, self-regulated learning is essential for today’s society. It provides for a person’s ability to self-educate and develop effectively and successfully. The environment of the pre-school institution and the teacher, who equips and improves this environment, play an important role in promoting the child’s self-regulated learning. In the third stage of pre-school education children have reached the age of 5 to 6 years old and are being prepared to start school. The aim of this study is to assess and analyse children’s self-regulation skills in a pre-primary education environment in the third stage of self-regulated learning. Self-regulated learning is when a student is able to function and use cognitive, emotional processes and behavioural regulation tools to achieve learning goals. The following research tasks were included: 1) analyse the essence and development of self-regulation, and guidelines for organising a self-regulated learning process; and 2) carry out pedagogical observations of children’s self-regulatory abilities within the framework of the self-regulated learning process. The research methods included analysis of pedagogical and psychological literature and sources, pedagogical observation, and statistical analysis of data. The study involved 41 children who were 5 to 6 years old. The results of the study show that self-directed learning can significantly promote the development of self-regulation skills in 5 to 6-year-old children. To better develop the process of self-regulation for 5 to 6-year-old children, the self-regulated learning process must be easier to understand, with an emphasis on updating, understanding, and reflecting on the learned content, while also clearly articulating the expected outcomes and providing feedback.

scholarly journals Review on self-regulated learning in smart learning environment

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yusufu Gambo ◽  
Muhammad Zeeshan Shakir
Keyword(s):  
Learning Environment ◽  
Learning Process ◽  
Quantitative Methods ◽  
Theoretical Perspective ◽  
The Self ◽  
Design Tools ◽  
Smart Learning Environment ◽  
Self Regulated Learning ◽  
Smart Learning ◽  
Regulated Learning

AbstractDespite the increasing use of the self-regulated learning process in the smart learning environment, understanding the concepts from a theoretical perspective and empirical evidence are limited. This study used a systematic review to explore models, design tools, support approaches, and empirical research on the self-regulated learning process in the smart learning environment. This review revealed that there is an increasing body of literature from 2012 to 2020. The analysis shows that self-regulated learning is a critical factor influencing a smart learning environment’s learning process. The self-regulated learning components, including motivation, cognitive, metacognitive, self-efficiency, and metacognitive components, are most cited in the literature. Furthermore, self-regulated strategies such as goal setting, helping-seeking, time management, and self-evaluation have been founded to be frequently supported in the literature. Besides, limited theoretical models are designed to support the self-regulated learning process in a smart learning environment. Furthermore, most evaluations of the self-regulated learning process in smart learning environment are quantitative methods with limited mixed methods. The design tools such as visualization, learning agent, social comparison, and recommendation are frequently used to motivate students’ learning engagement and performance. Finally, the paper presents our conclusion and future directions supporting the self-regulated learning process in the smart learning environment.

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