Informal Self-regulated Learning in Corporate Organizations

Author(s):  
Wim Veen ◽  
Jan-Paul van Staalduinen ◽  
Thieme Hennis

Sharing knowledge is one of the most challenging tasks modern companies have to deal with. A vast amount of knowledge exists within organizations; however it is often difficult to find and to judge its value. As a consequence, learning and knowledge building seem to be a lonely activity, separated from everyday work. Transfer of knowledge acquired in formal courses has little impact and effect on day-to-day work. That is why training often has a low return on investment. Knowledge management systems have also proven to be ineffective as they fail to present the knowledge employees are looking for. So how can we improve learning in organizations using ICT? To find an answer to this question we might learn from the generation that has grown up with modern communication technologies. This Homo Zappiens has shaped new ways of communication and information sharing including attitudes and views leading to collective knowledge building strategies. Prominent characteristics of Homo Zappiens include their preference for images and symbols as an enrichment of plain text, their seemingly effortless adoption of technology and their cooperation and sharing in networks. This generation seems to take exploration and learning, discovering the world, into their own hands. Homo Zappiens shows us we can increasingly rely on technology to connect us and allow us to organize as a group. In a networked society, the individual has more room for contributing its unique value, and innovation and knowledge reside in a network, rather than in each separate individual. Realizing that we need a flexible structure for organizing ourselves and the world around us, we can look at Homo Zappiens for a clue. This chapter describes self-regulated learning within a network (Networked Learning) and presents a model for it. It also presents experiences with the model at the multi-national corporation IBM, where a Technology-Enhanced Learning Environment (TELE) was built and introduced.

2022 ◽  
pp. 189-203
Author(s):  
Kendall Hartley

This chapter investigates smartphone-induced digital distractions through the lens of social cognitive theory and self-regulated learning. Social cognitive theory's reciprocal triarchic conceptualization is matched with the current role of the smartphone in the learning environment. Self-regulated learning is used to frame the challenges and opportunities presented by the smartphone. A final section suggests two opportunities for generating positive educational outcomes in light of social cognitive theory and self-regulated learning. The first is opportunity described as a reclamation of the dominant narrative regarding the educative role of personal technology. The second is the development of the individual learning scientist.


2016 ◽  
Vol 5 (2) ◽  
pp. 67
Author(s):  
Damianus D Samo

This research aims to explore the differences among self regulating learning aspect of math education students-FKIP Undana involving three groups of students which are the first level (the first semester), second level (fifth semester) and third level (ninth semesters) students to review the ability of the individual. The samples included 167 students that consist of 60 students of the first level (18 with high ability; 27 with average ability and 15 with low ability), 64 students of the second level (16 with high ability, 30 with average ability and 18 with low ability) and 43 students of the third level (6 with high ability, 24 with average ability and 13 with low ability). This research is a survey research. The data collection is done by distributing questionnaires on self-regulated learning to those three groups. SRL questionnaire consists of 10 aspects, goal setting, motivation, learning difficulties analysis, self-efficacy, election strategies, meta cognition, resource management, performance evaluation, evaluation of the understanding, and self-satisfaction. Two-way ANOVA was utilized in the data analysis of this study. The results of the analysis showed that, the first level group is more excellent in SRL than two other levels. In a review of capabilities, the average comparison of all three groups showed that the average-ability students excel both the high and low-ability students in SRL.


2008 ◽  
Vol 20 (1) ◽  
pp. 108-136 ◽  
Author(s):  
Angela Housand ◽  
Sally M. Reis

Personal processes, the environment, and individual behaviors of both teachers and students are factors that facilitate students' use of self-regulation learning strategies in reading. Some environmental conditions, such as organization of materials and clear expectations, support the development and use of self-regulation learning (SRL) strategies in reading. Teachers who use explicit instruction and modeling of SRL strategies have more students who can use self-regulation to read for longer periods and respond to higher order thinking questions. However, there are highly self-regulated students (even though fewer numbers) in low self-regulation classrooms, suggesting that individual differences in SRL strategies exist among gifted students and perhaps some gifted students as early as fifth grade have already attained the individual ability to use self-regulated learning SRL strategies to read and learn. The combination of domain-specific strategy instruction in reading combined with the use of SRL strategies to support knowledge acquisition seems to help more students in the higher self-regulation classroom achieve and maintain focus during reading instruction.


1996 ◽  
Vol 1 (2) ◽  
pp. 100-112 ◽  
Author(s):  
Monique Boekaerts

Self-regulated learning has emerged as a powerful new learning theory that is able to promote the transfer of knowledge and skills to real-life situations and make students more independent of their teachers in extending and updating their knowledge base. In recent years, many researchers have shown an interest in developing a theory of self-regulated learning. Considerable research has been generated, but the concept is still too broadly defined and its basic foundations remain poorly understood. The purpose of this paper is to examine the theoretical underpinnings of two strongly related aspects of self-regulated learning that have, until recently, been studied in a relatively isolated fashion. The conceptual framework that is presented in this paper highlights the parallel and reciprocal relationships between components of the cognitive and motivational repertoire and centers on three levels of these repertoires: domain-specific knowledge, strategy use, and goals.


2016 ◽  
Vol 5 (2) ◽  
pp. 67 ◽  
Author(s):  
Damianus D Samo

This research aims to explore the differences among self regulating learning aspect of math education students-FKIP Undana involving three groups of students which are the first level (the first semester), second level (fifth semester) and third level (ninth semesters) students to review the ability of the individual. The samples included 167 students that consist of 60 students of the first level (18 with high ability; 27 with average ability and 15 with low ability), 64 students of the second level (16 with high ability, 30 with average ability and 18 with low ability) and 43 students of the third level (6 with high ability, 24 with average ability and 13 with low ability). This research is a survey research. The data collection is done by distributing questionnaires on self-regulated learning to those three groups. SRL questionnaire consists of 10 aspects, goal setting, motivation, learning difficulties analysis, self-efficacy, election strategies, meta cognition, resource management, performance evaluation, evaluation of the understanding, and self-satisfaction. Two-way ANOVA was utilized in the data analysis of this study. The results of the analysis showed that, the first level group is more excellent in SRL than two other levels. In a review of capabilities, the average comparison of all three groups showed that the average-ability students excel both the high and low-ability students in SRL.


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