Metacognitive components in smart learning environment

Sumadyo, Malikus; Santoso, Harry Budi; Sensuse, Dana Indra

doi:10.1088/1742-6596/978/1/012025

Cited by 10 publications

(10 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, the implementation stage of transferring the data accumulation with the credit to facilitate the learning process should enhance giving the insightful value in expanding the learning competence. As such, the space of openness, accessibility and flexibility through an online sources points out disseminating the awareness of performing the planned inquiry together with task based inquiry in achieving the adaptive technology quality (Sumadyo et al, 2018). The aims to obtain the subject lesson of online sources should bring along with improving the learning practice associated with practical principles in ensuring the enhanced optimization of effectiveness on regulating the smart technology pathway in transferring the data transmission with an analytic process.…”

Section: Maximizing Smart Technology Utility For Information Accessmentioning

confidence: 99%

Smart Learning Environment (SLE) in the Fourth Industrial Revolution (IR 4.0)

Mulyadi

Huda

Gusmian³

2021

International Journal of Asian Business and Information Management

View full text Add to dashboard Cite

This paper is attempted to examine the explanatory approach in dealing with SLE by advancing online learning sources. The systematic approach of searching for the relevant articles on SLE in IR 4.0 has been widely identified through two electronic databases, Scopus and Web of Sciences. Through adopting such digitally systematic search program, identification was made on the various elements in terms of online learning resources (OLR). This attempts to propose the SLE framework model with an innovative approach in enhancing the learning through incorporating IR 4.0 platform to utilize the variety of information sources together with knowledge attribution in the higher education (HE). The contribution provides theoretical framework with the guideline of well-adapted performance in the educational activities as the new normal trend. In achieving this attainment, the readiness of both instruction facilities and accessibility procedure is significantly the main basis in ensuring the process flow in enlarging the digital learning.

show abstract

Section: Maximizing Smart Technology Utility For Information Accessmentioning

confidence: 99%

Smart Learning Environment (SLE) in the Fourth Industrial Revolution (IR 4.0)

Mulyadi

Huda

Gusmian³

2021

International Journal of Asian Business and Information Management

View full text Add to dashboard Cite

show abstract

“…Metacognition is becoming aware of one's awareness; metacognitive aspects of learning include one's focuses capabilities, such as aptitude and how to modify cognitive learning strategies [6-8,]. Metacognition regulation tends to enhance metacognitive abilities and coordinates cognitive learning strategies [6]. Students' ability to control their learning is an essential concept in learning success, which provides them with an opportunity to coordinate and complete cognitive tasks and strategically make use of learning strategies to control their learning progress [6,8].…”

Section: Metacognitive Regulationmentioning

confidence: 99%

“…Metacognition regulation tends to enhance metacognitive abilities and coordinates cognitive learning strategies [6]. Students' ability to control their learning is an essential concept in learning success, which provides them with an opportunity to coordinate and complete cognitive tasks and strategically make use of learning strategies to control their learning progress [6,8]. The desire to realize how students' study individually can be accomplished through the components of the metacognitive regulation [6].…”

Section: Metacognitive Regulationmentioning

confidence: 99%

“…Several smart learning environments have been developed to support students in the learning process to motivate and increase interaction; however, self-regulated learning (SRL) has been identified as one of the strategies that can support students to develop metacognitive skills to enhance learning experiences for supporting online learning process [2][3][4][5]. Despite the increasing research in the smart learning environment, there is the scarcity of a well-documented work on how the metacognitive components in a smart learning environment could be modeled and integrated with the SRL process to support the development of a self-regulated smart learning environment to provide personalized learning and skills development [1,3,6]. This paper model the metacognitive components in smart learning environment to support competency and skills development for success in online learning environment.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

WIP: Model of Self-Regulated Smart Learning Environment

Gambo

Shakir

2021

2021 IEEE World Conference on Engineering Education (EDUNINE)

View full text Add to dashboard Cite

The use of smart and mobile technologies provides a smart learning environment that can support diverse learning needs. The self-regulated learning process has been identified as one of the strategies that can support students in the online learning environment. Metacognitive skills such as goal setting, task strategy, self-reaction, help-seeking, time management can be developed in a smart learning environment to support the learning process. However, despite the increasing research in the smart learning environment, there is a scarcity of welldocumented work on how the metacognitive components in a smart learning environment could be modeled to support the development of a self-regulated smart learning environment. This paper explored the metacognitive components in the smart learning environment to propose the hybrid model, referred to as MSLEM: Metacognitive Smart Learning Environment Model which can be beneficial to researchers for providing a personalized learning environment for supporting the online learning process

show abstract

“…al. (10) who analyzed the metacognitive element of the intelligent learning environment to aid in learning. According to the principles of smart learning, metacognitive learning strategies unquestionably demand the support of flexible, responsive, and personalized learning environments.…”

Section: Introductionmentioning

confidence: 99%

The Development of a Smart Learning Platform to Strengthen Students' Metacognition

Ardini

Suwandi

Senowarsito

et al. 2022

KSS

View full text Add to dashboard Cite

Metacognition Smart Learning (MSLearning) was designed to facilitate teachers and students during the pandemic to conduct a blended learning process where both synchronous and asynchronous learning can be done. The MSLearning platform focuses on metacognition which plays an important role in all learning activities as it helps students to evaluate errors and issues in their problem-solving skills. The objectives of the study were to describe the development of the MSLearning platform and to investigate students’ perceptions of MSLearning. A descriptive qualitative method was employed. A questionnaire about individual perception was distributed to 50 students in 10 junior high schools in Semarang city. The learning process of the MSLearning platform involved 7 phases, from opening to closing the lesson, including synchronous and asynchronous steps. Meanwhile, the findings of the students’ perception questionnaire showed that the MSLearning platform contents are interesting (72%), the platform makes it easy to understand the existing materials (45%), the completeness of the types of learning using MSLearning platform such as presentation, quiz, video, etc (87%), it can be done independently (91%), and the MSLearning platform can help to build new insights and techniques linked to learning objectives (44%). It can be concluded that the MSLearning platform was suitable for seventh-grade junior high school students in Semarang city. The findings othe f the present study will be proceeded by the researchers to revise MSLearning platform in terms of the content and to strengthen students’ metacognition. Keywords: Development, smart learning platform (MSLearning), metacognition

show abstract

Metacognitive components in smart learning environment

Cited by 10 publications

References 16 publications

Smart Learning Environment (SLE) in the Fourth Industrial Revolution (IR 4.0)

Smart Learning Environment (SLE) in the Fourth Industrial Revolution (IR 4.0)

WIP: Model of Self-Regulated Smart Learning Environment

The Development of a Smart Learning Platform to Strengthen Students' Metacognition

Contact Info

Product

Resources

About