• Title/Summary/Keyword: Learning Readiness

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Innovative Technology of Teaching Moodle in Higher Pedagogical Education: from Theory to Pactice

  • Iryna, Rodionova;Serhii, Petrenko;Nataliia, Hoha;Kushevska, Natalia;Tetiana, Siroshtan
    • International Journal of Computer Science & Network Security
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    • v.22 no.8
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    • pp.153-162
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    • 2022
  • Relevance. Innovative activities in education should be aimed at ensuring the comprehensive development of the individual and professional development of students. The main idea of modular technology is that the student should learn by himself, and the teacher manages his learning activities. The advantage of modular technology is the ability of the teacher to design the study of the material in the most interesting and accessible forms for this part of the study group and at the same time achieve the best learning results. Innovative Moodle technology. it is gaining popularity every day, significantly expanding the space of teaching and learning, allowing students to study inter-faculty university programs in depth. The purpose of this study is to assess the quality of implementation of the e-learning system Moodle. The study was conducted at the South Ukrainian National Pedagogical University named after K. D. Ushinsky in order to identify barriers to the effective implementation of innovative distance learning technologies Moodle and introduce a new model that will have a positive impact on the development of e-learning. Methodology. The paper used a combination of theoretical and empirical research methods. These include: scientific analysis of sources on this issue, which allowed us to formulate the initial provisions of the study; analysis of the results of students 'educational activities; pedagogical experiment; questionnaires; monitoring of students' activities in practical classes. Results. This article evaluates the implementation of the principles of distance learning in the process of teaching and learning at the University in terms of quality. The experiment involved 1,250 students studying at the South Ukrainian National Pedagogical University named after K. D. Ushinsky. The survey helped to identify the main barriers to the effective implementation of modern distance learning technologies in the educational process of the University: the lack of readiness of teachers and parents, the lack of necessary skills in applying computer systems of online learning, the inability to interact with the teaching staff and teachers, the lack of a sufficient number of academic consultants online. In addition, internal problems are investigated: limited resources, unevenly distributed marketing advantages, inappropriate administrative structure, and lack of innovative physical capabilities. The article allows us to solve these problems by gradually implementing a distance learning model that is suitable for any university, regardless of its specialization. The Moodle-based e-learning system proposed in this paper was designed to eliminate the identified barriers. Models for implementing distance learning in the learning process were built according to the CAPDM methodology, which helps universities and other educational service providers develop and manage world-class online distance learning programs. Prospects for further research focus on evaluating students' knowledge and abilities over the next six months after the introduction of the proposed Moodle-based program.

Applications for Self-Regulating Learning Strategy to Quantitative Relationships in Chemical Reaction (탐구실험 수업에 자기조절학습 전략을 적용: 학업성취도 및 과학적 태도에 대한 효과)

  • Kim, Yeon Chul;Park, Jong Keun
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.1
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    • pp.487-495
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    • 2021
  • Using self-regulation learning strategies that can cultivate the creative and critical thinking required in the era of the Fourth Industrial Revolution, it was applied to the exploration experimental class of the section 'quantitative relationship in chemical reactions' in high school chemistry and the effects on academic performance and scientific attitudes were analyzed. In case of academic achievement, although there was no meaningful difference between the two groups in the pre-test, the average value of the experimental group was significantly higher in the post-test. In the case of scientific attitudes, the difference in average points between the two groups was the greatest in readiness and curiosity. In the post-test of the experimental group, academic achievement showed the highest correlation with meta-cognition and scientific attitude with behavioral regulation, respectively. Considering the effectiveness of metacognition and scientific attitudes, self-regulation learning strategies are the most suitable teaching-learning forms for creativity and personality education in this era.

A Model for Constructing Learner Data in AI-based Mathematical Digital Textbooks for Individual Customized Learning (개별 맞춤형 학습을 위한 인공지능(AI) 기반 수학 디지털교과서의 학습자 데이터 구축 모델)

  • Lee, Hwayoung
    • Education of Primary School Mathematics
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    • v.26 no.4
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    • pp.333-348
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    • 2023
  • Clear analysis and diagnosis of various characteristic factors of individual students is the most important in order to realize individual customized teaching and learning, which is considered the most essential function of math artificial intelligence-based digital textbooks. In this study, analysis factors and tools for individual customized learning diagnosis and construction models for data collection and analysis were derived from mathematical AI digital textbooks. To this end, according to the Ministry of Education's recent plan to apply AI digital textbooks, the demand for AI digital textbooks in mathematics, personalized learning and prior research on data for it, and factors for learner analysis in mathematics digital platforms were reviewed. As a result of the study, the researcher summarized the factors for learning analysis as factors for learning readiness, process and performance, achievement, weakness, and propensity analysis as factors for learning duration, problem solving time, concentration, math learning habits, and emotional analysis as factors for confidence, interest, anxiety, learning motivation, value perception, and attitude analysis as factors for learning analysis. In addition, the researcher proposed noon data on the problem, learning progress rate, screen recording data on student activities, event data, eye tracking device, and self-response questionnaires as data collection tools for these factors. Finally, a data collection model was proposed that time-series these factors before, during, and after learning.

Taiwanese Mothers' Motivations for Teaching English to Their Young Children at Home

  • Lan, Yi-Chen;Torr, Jane;Degotardi, Sheila
    • Child Studies in Asia-Pacific Contexts
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    • v.2 no.2
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    • pp.133-144
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    • 2012
  • Research has shown that mothers' attitudes towards early English language and literacy learning are important for children's English language development. Some researchers have indicated that in Taiwan most parents have a positive attitude towards English instruction and are motivated to teach English at home to their preschoolers. There is, however, little current data available to explain the motivations behind such parents' decisions to teach English to their child in the home before the commencement of formal schooling. We conducted a thematic analysis of the written survey responses of 263 Taiwanese mothers who explained why they taught their preschool children English at home. The findings indicate that English is highly valued for children's school readiness, future career opportunities, and because of its status as a global language. The mothers' motivations for teaching English include the desire to cultivate the child's interest, a belief in 'the earlier the better" for second language learning, and a belief in the need to review and practice English. These findings have the potential to inform educational policies and implementation strategies, as they can reveal whether mothers' motivations align with national priorities for English language education.

Design Implications for Teachers' Tools in Differentiated Instruction through Case Studies

  • CHA, Hyunjin
    • Educational Technology International
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    • v.14 no.1
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    • pp.55-74
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    • 2013
  • The diversity of students is getting increased in the contemporary classroom. To deal with the diversity, differentiated instruction (DI) should be considered as a way of providing alternative approaches to content, process and product according to the students' readiness, interest, and learning needs. Teachers have problems and difficulties in supporting different student's needs. In fact, teachers need proven tools including framework, guidelines or computing systems to help to practice DI in real context. According to the activity theory, tools influence on how people act and think and even their social practice, playing a crucial role in mediating the activities with people. In DI practice, there are also some studies about physical and abstract tools, but they have been not widely utilized by teachers in real schools. It means that more innovative tool to promote DI might be required. Therefore, to design a better tool to mediate the DI activities with teacher, case studies were conducted. In order to elicit the design implications, two physical and two abstract tools for DI practice were analyzed as case studies. Through the analysis of the case studies, eight design implications better to facilitate DI practice were suggested. This study has implications in suggesting design guidelines for teachers' tools to facilitate their DI practice by analyzing case studies in DI practices for an innovative tool in the educational practice.

How can we narrow the digital divide among SMEs in APEC member economies? (중소기업 정보화 수준 격차 해소방안에 관한 국가 간 비교연구)

  • Kwon, Sun-Dong;Yang, Hee-Dong;Sohn, Yong-Yeop;Lee, Seong-Bong;Sirh, Jin-Young;Cho, Taek-Hee
    • Journal of Information Technology Applications and Management
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    • v.12 no.2
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    • pp.79-106
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    • 2005
  • This study, by adopting case study methodology, is focused on examining the present state and analyzing the cause of the digital divide, and suggesting policies for bridging the divide, specifically in view of SMEs. We have taken cases of manufacturing companies, visiting and interviewing 18 SMEs in 10 APEC member economies which show sharp difference in usage of ICT. In order to analyze the digital gap among SMEs, we used 5 variables that are composed of computer hardware, computer software, Internet, readiness of ICT, and performance of ICT adoption, while categorizing the cases into low and high tier based on the national ICT index. From a computer hardware perspective, the high tier (0.66) has almost double the number of PC’s per employee, compared with the low tiers (0.34). This gap can be explained by financial availability of low income and high tariff in the developing economies. In the computer software perspective, the SMEs in the low tier had some restrictive use of computer applications such as financial and accounting management and document management, while those in the high tier enjoyed more diversity in the use of applications such as inventory management, sales management, financial and accounting management, procurement management, CRM, and ERP. In view of the readiness of ICT, the difference in ICT infrastructure and financial status between the low and high tier was far wider than any other variables. As a result of ICT adoption, SMEs benefited in view of learning and growth, internal business processes, customer service, and financial affairs. To effectively bridge the digital divide between the low and high tier, actions such as setting up a secondary market of used computers among cooperating developed and developing countries, developing and diffusing good business applications, and building speedy, low-cost telecommunication infrastructures should be taken.

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University Students' Perception on the Flipped-learning-based Introductory Physics Course in which Class Hour are Divided into Lectures and Group Problem Solving (강의와 그룹문제풀이가 균형을 이루는 플립러닝 기반 일반물리학 강좌에 대한 대학생의 인식)

  • Lee, Hai-Woong;Yi, Sangyong;Cheong, Yong Wook
    • Journal of Science Education
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    • v.42 no.2
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    • pp.242-255
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    • 2018
  • Recently, flipped learning has been paid much attention as one of the improvement methods of teaching and learning at university level. Few studies investigated the effects of flipped learning in general physics classes. However, in order to be successfully established and spread new attempts such as flipped learning, it is necessary to investigate in detail the effect of flipped learning and the way it is perceived by students in accordance with other variables such as student's background and characteristic. In this study, we investigated differences in students' perception on the flipped learning and their achievement according to their background and characteristic in flipped-learning-based introductory physics course in which class hours are divided into lecture and group problem solving equally. Students' achievement was more influenced by their readiness before the beginning of the semester than their time consuming for learning during the semester. Students generally had a very positive perception of the new way of flipped-learning-based physics teaching. However, students of insufficient prior learning, or relatively not-hard learner agreed with careful selection of subjects rather than the overall expansion of flipped learning.

An Analysis of Structural Model on the Learning Intention of the Participants in the Robot Programming (로봇프로그래밍 학습참여자의 학습의도 구조모형 분석)

  • Shin, Seung-Young;Kim, Mi-Ryang
    • The Journal of Korean Association of Computer Education
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    • v.14 no.2
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    • pp.61-73
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    • 2011
  • The analysis on learners made through the study focuses on the intention of the participants in the learning activities of the robot programming. Therefore, for the analysis of the learners' intention, which is tried in the study, TAM, the analysis tool used for understanding buying acts or buying intention of buyers in the business sector, is basically utilized, and the Flow theory is additionally applied, trying to know, through the quantum analysis methods, the factors to give influence on the intention for learners to take part in the robot programming lesson. For this, a quantum analysis was made by PLS analysis, a kind of structural equations. As the result of the analysis, it is confirmed that such factors as 'recognized utility' and 'recognized readiness' and 'Flow' give significant influence on the intention of learners' participation in the lesson. As the result of the synthetic analysis and in regard with the value of the programming lesson, it is found that the following factors give actual influence to the intention of learners: the group where learners belong or teaching-learning organizations together with creating social rapport, learning tasks given for learners, etc.

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Guided Instruction of Introducing Computational Thinking to Non-Computer Science Education Major Pre-Service Teachers

  • Song, Ki-Sang
    • International journal of advanced smart convergence
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    • v.6 no.2
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    • pp.24-33
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    • 2017
  • Since 'teaching coding' or 'programming' classes for computational thinking (CT) education in K-12 are renowned around the world, a pre-service teachers' readiness for integrating CT into their teaching subjects is important due to the fact that CT is considered to be another 'R' from algoRitm for 21st century literacy, in addition to the traditional 3R (Reading, Writhing, and Arithmetic) [2] and CT roles to other disciplines. With this rationale, we designed a guided instruction based CT course for pre-service teachers. We show the effectiveness of the program with respect to the teachers' attitude toward combining CT into their teaching subjects, and mindset changes of learning computing connected with the career development of the teacher themselves. The research focused on the instructional methodology of teaching programing for non-Computer Science Education (CSE) majors who are not familiar with computer science for alleviating the cognitive load of first exposure to programming course under the CT concepts.

Developing Student-Teacher Interaction Through Task-Based Instruction

  • Alsamadani, Hashem A.
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.47-52
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    • 2022
  • The current study investigates how student-teacher interaction can be developed through task-based teaching in undergraduate students' Saudi teaching and learning context. An experiment was conducted for five weeks on 85 male undergraduate students at a Saudi public university based in Jeddah, Saudi Arabia. The study investigated different types of student-teacher interaction through task-based teaching (speaking activities). The results revealed that the experimental group (43 students) evinced much more enthusiasm, willingness, engagement and readiness in their inclass participation than their peers in the control group (42 students). The student-teacher interaction also helped students to be more responsive to general and specific topics in speaking activities. The study recommends that decision-makers in education make student-teacher interaction part of the student's monthly assessment. It also recommends that more efforts be made to foster the awareness of students, teachers, and parents awareness of the academic and non-academic importance of interaction. One final recommendation of the research is that student-teacher interaction should be more emphasized and integrated into the school curriculum and adopted as a critical teaching strategy.