Future School

2017 ◽  
pp. 1-31 ◽  
Author(s):  
Eugenijus Kurilovas
Keyword(s):  
Learning Styles ◽  
Correct Answer ◽  
Mobile Applications ◽  
Learning Activities ◽  
Learning Approach ◽  
Optimal Learning ◽  
Personalised Learning ◽  
School Project ◽  
Learning Content ◽  
Future School

What learning content, methods and technologies are the most suitable to achieve better learning quality and efficiency? In Lithuania, we believe that there is no correct answer to this question if we don't apply personalised learning approach. We strongly believe that “one size fits all” approach doesn't longer work in education. It means that, first of all, before starting any learning activities, we should identify students' personal needs: their preferred learning styles, knowledge, interests, goals etc. After that, teachers should help students to find their suitable (optimal) learning paths: learning methods, activities, content, tools, mobile applications etc. according to their needs. But, in real schools practice, we can't assign personal teacher for each student. This should be done by intelligent technologies. Therefore, we believe that future school means personalisation plus intelligence. In this chapter, Lithuanian Intelligent Future School project is presented aimed at implementing learning personalisation and educational intelligence.

scholarly journals Index of mathematics learning activities suitability to learners

2016 ◽  
Vol 57 ◽  
Author(s):  
Julija Kurilova ◽  
Eugenijus Kurilovas
Keyword(s):  
Learning Styles ◽  
Evaluation Method ◽  
Fuzzy Numbers ◽  
Probabilistic Method ◽  
Mathematics Learning ◽  
Learning Activities ◽  
Inquiry Based Learning ◽  
Personalised Learning ◽  
Suitability Index ◽  
Expert Evaluation Method

The paper aims to present an original probabilistic method to creating personalised learning activities and units. The method is based on evaluating learning components suitability to students needs according to their learning styles. In the paper, Felder–Silverman Learning Styles Model and Inquiry Based Learning method suitable to learn Math are used. Expert evaluation method based on Trapezoidal Fuzzy Numbers theory is applied in the research to obtain numerical values of suitability of IBL activities to students learning styles. Personalised learning units should consist of learning components (i.e. learning activities) that are optimal (i.e. the most suitable) to particular students according to their learning styles. Optimal means having the highest suitability index. In the paper, this original probabilistic method is applied to establish probabilistic suitability of IBL activities to particular students.

An Exploratory Model of Learning Styles Based on Agent Learning

2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Ayse Kok Arslan
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Learning Activities ◽  
Data Driven ◽  
Learning Approach ◽  
Teaching Materials ◽  
Automatic Learning ◽  
Detection Model ◽  
Combining Data ◽  
Agent Learning

<p><strong><em>Abstract—A </em></strong><strong>learning style is an issue related to learners. In one way or the other, learning styles could assist learners in their learning activities. If the learners ignore their learning styles, it may influence their effort in understanding teaching materials. To overcome these problems, a model for reliable automatic learning style detection is needed. Currently, there are two approaches in automatically detecting learning styles: data driven and literature based. Learners, especially those with changing learning styles, have difficulties in adopting these two approaches since they are not adaptive, dynamic and responsive (ADR). To solve the above problems, a model using agent learning approach is proposed. Agent learning performs four phased activities, i.e. initialization, learning, matching and recommendations to decide which learning styles are used by the students. Furthermore, the system will provide teaching materials which are appropriate for the detected learning style. The detection process is performed automatically by combining data-driven and literature-based approaches. The detected learning style used for this research is VARK (Visual, Auditory, Read/Write, and Kinesthetic). This learning style detection model is expected to optimize the learners in adhering with the online learning.</strong><strong></strong></p>

FACILITATING SKILLS OF GRADE SCHOOL TEACHERS IN INCREASING LEARNING RETENTION AMONG GRADE SCHOOL PUPILS

2019 ◽  
Author(s):  
GARRY LINGON
Keyword(s):  
Learning Styles ◽  
Learning Process ◽  
Learning Activities ◽  
Survey Questionnaire ◽  
Grade School ◽  
School Teachers ◽  
Weighted Mean ◽  
Daily Lives ◽  
Learning Retention ◽  
Materials Used

<p>Teachers are a facilitator of the learning process. Teachers give pupils an ample time to discover new things on their own. Many challenges faced by the teachers in facilitating the activity of learners such as planning, creating, preparing, and selecting the materials used in the activity. Because of this, the task of the teachers is multi-faceted. Many things to be considered in making learning activities, must suit the capability of the learners, this activity can be adapted to different learning styles, and the activity must stimulate the interest of the learners. But not all activities are fitted for all learners because learners are diverse and unique in nature. The needs of pupils are the major concern of the teachers, to retain the learning of the pupils and especially the learning could apply in their daily lives for meaningful learning. The research dealt with the challenges of the teachers in increasing the learning retention among pupils and possible activities that stimulate the interest of the learners. This research measure the responses measured in getting the frequency, percentage, and weighted mean using formulas to analyze the data gathered. Utilize descriptive design with a survey questionnaire as the research instrument. This research has two sets of respondents the grade school teachers and pupils. <br></p>

The Development of Mobile Learning (M-Learning) Apps Adik-Adik Jawi to Enhance Learning Experience in Arabic Calligraphy

2021 ◽  
Vol 02 (01) ◽  
Author(s):  
Mohd Hatta Mohamed Ali ◽  
◽  
Anwar Hafidzi ◽  
Juliana Mohamed ◽  
Mariam Abdul Hamid ◽  
...  
Keyword(s):  
Mobile Learning ◽  
Teaching And Learning ◽  
Development Process ◽  
Learning Experience ◽  
Learning Activities ◽  
Learning Approach ◽  
Application Development ◽  
Research Article ◽  
Arabic Calligraphy

History has proven the development of Jawi calligraphy is in line with the development of Islam in the archipelago. It is the root of the nation’s identity that must be defended and maintained. As with other subjects, the challenge to learning Jawi calligraphy at this time is that the whole world including Malaysia is affected by the COVID 19 pandemic. Therefore, all learning activities are now geared towards teaching and learning from home (PdPR) as methods to ensure the continuity of education. Therefore, it is very important that Jawi calligraphy is given a new breath in teaching and learning. This research article will discuss the mobile learning approach (M-Learning) for Jawi calligraphy. Important elements discussed include the application development process according to the needs of teaching and learning activities. The features of the application that contribute to the improvement of students’ learning experience as well as the results of tests performed on students are also stated. The success of this M-Learning application for learning Jawi calligraphy will certainly be able to be further expanded to the learning of other subjects in various fields.

A review of vocabulary learning applications: From the aspects of cognitive approaches, multimedia input, learning materials, and game elements

2021 ◽  
pp. 250-272
Keyword(s):  
Foreign Language ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Vocabulary Learning ◽  
Word Knowledge ◽  
Learning Approach ◽  
Feedback Systems ◽  
Learning Materials ◽  
Systematic Understanding ◽  
Game Elements

In recent years, mobile applications (apps) have been increasingly used and investigated as a vocabulary learning approach. Despite the extensive use of commercial English as a Foreign Language (EFL) vocabulary learning apps in China, there is a lack of a review of these apps for a systematic understanding of the components and usefulness of app-assisted vocabulary learning. To fill this knowledge gap, this study presents a systematic review of 15 EFL vocabulary learning apps that were most downloaded in China, focusing on how these apps help students develop word knowledge. The results of this study showed that most apps enabled students to access word knowledge through translating words into their native language. Notably, word knowledge was usually presented through text-plus-image and text-plus-image-plus-audio. Most of these mobile apps provided sentence examples as vocabulary learning materials. Many of these apps were integrated with game elements, especially in interactivity or feedback systems and reward systems. Based on the review results, we have provided three recommendations to vocabulary learning app developers concerning the use of video for the input of word knowledge, the efficiency of vocabulary learning, and the integration of more game elements.

scholarly journals Relationship between learning style and readiness for self-directed learning among nursing students at king Saud university, Saudi Arabia

2016 ◽  
Vol 5 (2) ◽  
pp. 109 ◽  
Author(s):  
Nesreen AbuAssi ◽  
Hanan Alkorashy
Keyword(s):  
Nursing Students ◽  
Learning Styles ◽  
Learning Style ◽  
Nursing Faculty ◽  
Nurse Educators ◽  
The Self ◽  
Learning Approach ◽  
Self Directed Learning ◽  
King Saud University ◽  
Directed Learning

Self-directed learning and other prevalent learning styles are important aspects of nursing education because they help nurse educators to predict differences in learners’ needs, abilities, and interests. Moreover, nurse educators depend on these predictors when they choose the most suitable teaching strategies, which enable them to manage adult learners effectively. This study’s objective is to explore the relationship between learning styles and the willingness to adopt self-directed learning among nursing students in King Saud University (KSU). Using a cross-sectional descriptive correlational design, the study was conducted with 230 undergraduate nursing students (female and male) from the third to eighth academic levels at the College of Nursing at KSU, Saudi Arabia. Kolb’s learning styles inventory and the self-directed learning readiness scale were adopted to determine the effects of the self-directed learning approach. The study’s findings suggested that the majority of nursing students had a “Diverging” style of learning. The “self-control” subscale was used to determine the willingness for self-directed learning. It recorded the highest mean score compared to the subscales of “self-management” and “desire for learning.” However, no statistically significant association was found between learning styles and self-directed learning readiness. Additionally, the findings showed that the majority of the students who participated in this study had little interest in the self-directed learning approach. Thus, this study recommends that the nursing faculty needs to assess students for their preferred learning style and readiness for self-directed learning before and throughout the students’ enrollment in the college. Further, the nursing faculty should apply a variety of teaching methods to manage students’ learning needs effectively.

scholarly journals A Proposed Model for Detecting Learning Styles Based on Agent Learning

2016 ◽  
Vol 11 (10) ◽  
pp. 65 ◽  
Author(s):  
M S Hasibuan ◽  
L E Nugroho ◽  
P I Santosa ◽  
S S Kusumawardani
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Evaluation Model ◽  
Learning System ◽  
Learning Activities ◽  
Instructional Materials ◽  
Data Driven ◽  
Automatic Learning ◽  
Proposed Model ◽  
Agent Learning

A learning style is an issue related to learners. In one way or the other, learning style could assist learners in their learning activities if students ignore their learning styles, it may influence their effort in understanding teaching materials. To overcome these problems, a model for reliable automatic learning style detection is needed. Currently, there are two approaches in detecting learning styles: data driven and literature based. Learners, especially those with changing learning styles, have difficulties in adopting these two approach since they are not adaptive, dynamic and responsive (ADR). To solve the above problems, a model using agent learning approach is proposes. Agent learning involves performing activities in four phases, i.e. initialization, learning, matching and, recommendations to decide the learning styles the students use. The proposed system will provide instructional materials that match the learning style that has been detected. The automatics detection process is performed by combining the data-driven and literature-based approaches. We propose an evaluation model agent learning system to ensure the model is working properly.

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