• Title/Summary/Keyword: learning outcomes

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A Stduy on Learning Model for Effective Coding Education (효과적인 코딩교육을 위한 학습 모델에 대한 연구)

  • Kim, Si-Jung;Cho, Do-Eun
    • Journal of the Korea Convergence Society
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    • v.9 no.2
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    • pp.7-12
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    • 2018
  • With our society entering the Fourth Industrial Revolution, there has been heightened interest in coding education, which has led to an increased number of coding classes offered in schools. Once catered to degree holders only, coding courses are now being offered as liberal arts courses to even non-majors. As the importance of computing abilities and creativity-oriented education through software learning becomes increasingly pronounced, the need for research on effective coding learning is growing more urgent. The present study sought an effective coding education model that would encourage and enhance learners' participation and interest in coding. The proposed learning model is designed to invoke learner's recognition of various coding grammars and data search in the process of designing and performing their own unique project. Application of the proposed learning model and analysis of such case studies showed improvement in learning outcomes. One can expect improved performance among learners if the proposed learning model is applied to various coding courses.

Practical Epistemology Analysis on Epistemic Process in Science Learning (과학 학습의 지식구성 과정에 대한 실제적 인식론 분석)

  • Maeng, Seungho
    • Journal of Korean Elementary Science Education
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    • v.37 no.2
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    • pp.173-187
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    • 2018
  • The purpose of this study is to clarify the specific terms of epistemic and epistemological by reviewing the literature on epistemological understanding of science learning, examine the necessity of epistemic discourse analysis based on the view of social epistemology, and provide an exemplar of practical epistemology analysis for elementary children's science learning. The review was conducted in terms of meaning and terminology about epistemic or epistemological approach to science learning, epistemology of/for science, and methodologies for epistemic discourse analysis. As an alternative way of epistemic discourse analysis in science classroom I employed practical epistemology analysis (by Wickman), evidence-explanation continuum (by Duschl), and DREEC diagram (by Maeng et al.). The methods were administered to an elementary science class for the third grade where children observed sedimentary rocks. Through the outcomes of analysis I sought to understand the processes how children collected data by observation, identified evidence, and constructed explanations about rocks. During the process of practical epistemology analysis the cases of four categories, such as encounter, stand-fast, gap, and relation, were identified. The sequence of encounter, stand fast, gap, and relation showed how children observed sedimentary rocks and how they came to learn the difference among the rocks. The epistemic features of children's observation discourse, although different from scientists' discourses during their own practices, showed data-only conversation, evidence-driven conversation, or explanation inducing conversation. Thus I argue even elementary children are able to construct their own knowledge and their epistemic practices are productive.

The Effects of an Action Learning-based Nursing Ethics Education on Self-assertiveness and Ethical Values (액션러닝 기반 간호윤리교육이 간호대학생의 자기표현성과 윤리적가치관에 미치는 효과)

  • Kim, Wol Ju;Park, Jin-Hee
    • Journal of muscle and joint health
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    • v.24 no.3
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    • pp.179-186
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    • 2017
  • Purpose: The purpose of this study was conducted to evaluate the effects of an action learning-based nursing ethics education on the self-assertiveness and ethical values in nursing students. Methods: The study was a non-equivalent control group pretest-posttest design. This study was carried out from October 19 to December 11, 2015. Participants were fifty-six undergraduate nursing students who assigned to either an action learning-based nursing ethics education or traditional lecture. Outcomes were measured assessed self-assertiveness and ethical values using questionnaires. Results: There was a significant improvement in the self-assertiveness in the experimental group who received an action learning-based nursing ethics education than the control group who undertook the traditional lecture (p=.017). However, ethical values were not statistically signigicant between two groups (p=.347). Conclusion: This study demonstrated that an action learning-based nursing ethics education for undergraduate students is very effective in promoting self-assertiveness compared to the traditional lecture.

An Example of Development and Implementation of PBL Module in Fundamentals of Nursing (기본간호학 PBL 모듈(Module) 개발 및 적용의 일 예)

  • Kang Ki-Sun;Park Mee-Young;Lee Woo-Sook
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.8 no.2
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    • pp.244-258
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    • 2001
  • Purpose: The purpose of this study was to develop and apply a conceptualized PBL module for Fundamentals of Nursing. Method: A case study method was used to describe and explore the Process of developing and implementing the PBL module. Result: This module included three PBL packages that were designed to deal with more complexed and indepth concepts as the packages proceeded. In order to achieved that, all the contents of Fundamentals of Nursing II and III were reorganized and integrated into three main concepts, hygiene, infection and dehydration. This module was implemented for first year college student nurses in the second semester of year 2000. The student self-evaluation results showed that they were generally satisfied with their achievement in learning, both final outcome and process. Also, the results indicated that they were more satisfied with the subject management, the lecturer and their peers after implementing PBL. Conclusion : This study demonstrated the potentiality for the application of a partially integrated PBL module within an existing subject. However, when student learning needs were beyond the extent of Fundamentals of Nursing, the lecturer had to set boundaries on learning content and this may have reduced the effects of learning. Therefore, the researchers emphasize the importance of developing an integrated PBL curriculum to maximize student learning outcomes.

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A Learning Progression for Water Cycle from Fourth to Sixth Graders with Ordered Multiple-Choice Items (순위 정렬 선다형 평가 문항을 적용한 초등학교 4~6학년 학생들의 물의 순환에 대한 학습 발달 과정)

  • Seong, Yeonseon;Maeng, Seungho;Jang, Shinho
    • Journal of Korean Elementary Science Education
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    • v.32 no.2
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    • pp.139-158
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    • 2013
  • This study investigated elementary students' (grade 4~6) learning progressions for water cycling drawn from iterative assessments using ordered multiple-choice (OMC) items. An assessment system, which consisted of construct map, item design, outcome space, and measurement model, was employed in this study to examine children's learning progressions. At the first stage of the assessment system, a construct map was designed on which children's conceptual understandings from naive to most sophisticated were represented. At the item design stage, 8 OMC items were drawn from the construct map. Each item option of the OMC items was scored from 0 to 3 according to its level of understanding at the stage of outcome space. As a measurement model, Rasch model, a branch of item response theory, was applied to interpreting the outcomes of the OMC items. This cycle of assessment system was furtherly implemented iteratively in order to elaborate on the first version of water cycling learning progression. In conclusion, children's understanding of water cycling could be described in two aspects: water distribution and water movement. We identified children's conjectural developmental pathways about water cycling existed from superficial and naive accounts to more complex and abstract accounts.

Effects of Multi-mode Simulation Learning on Nursing Students' Critical Thinking Disposition, Problem Solving Process, and Clinical Competence

  • Ko, Eun;Kim, Hye Young
    • Korean Journal of Adult Nursing
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    • v.26 no.1
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    • pp.107-116
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    • 2014
  • Purpose: The purpose of this study was to identify the effects of multi-mode simulation learning on critical thinking disposition, on the problem solving process and on clinical competence of nursing students. Methods: A non-equivalent control group with pre-posttest was designed. The participants in this study were 65 students who were enrolled in an emergency and critical nursing course at N university. The treatment group consisted of 33 juniors in 2010 and the control group 32 juniors in 2011. Collected data were analyzed using chi-square, independent t-test, and ANCOVA with the SPSS/WIN 18.0 for Window Program. Results: There were significant increases in problem solving process and clinical competence in the treatment group who participated in the multi-mode simulation learning compared to the control group who did not (t=-2.39, p=.020; F=12.76, p=.001). However, there were no significant differences in critical thinking disposition between the treatment and control group (t=0.40, p=.692). Conclusion: Multi-mode simulation is an effective teaching and learning method to enhance the problem solving process and clinical competence of nursing students. Further exploration is needed to develop and utilize multi-mode simulation for diverse scenarios, depending on emergency nursing educational goals and environments and to develop a universal method to measure outcomes.

Deep Analysis of Causal AI-Based Data Analysis Techniques for the Status Evaluation of Casual AI Technology (인과적 인공지능 기반 데이터 분석 기법의 심층 분석을 통한 인과적 AI 기술의 현황 분석)

  • Cha Jooho;Ryu Minwoo
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.4
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    • pp.45-52
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    • 2023
  • With the advent of deep learning, Artificial Intelligence (AI) technology has experienced rapid advancements, extending its application across various industrial sectors. However, the focus has shifted from the independent use of AI technology to its dispersion and proliferation through the open AI ecosystem. This shift signifies the transition from a phase of research and development to an era where AI technology is becoming widely accessible to the general public. However, as this dispersion continues, there is an increasing demand for the verification of outcomes derived from AI technologies. Causal AI applies the traditional concept of causal inference to AI, allowing not only the analysis of data correlations but also the derivation of the causes of the results, thereby obtaining the optimal output values. Causal AI technology addresses these limitations by applying the theory of causal inference to machine learning and deep learning to derive the basis of the analysis results. This paper analyzes recent cases of causal AI technology and presents the major tasks and directions of causal AI, extracting patterns between data using the correlation between them and presenting the results of the analysis.

A Study on the Relationship of Learning, Innovation Capability and Innovation Outcome (학습, 혁신역량과 혁신성과 간의 관계에 관한 연구)

  • Kim, Kui-Won
    • Journal of Korea Technology Innovation Society
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    • v.17 no.2
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    • pp.380-420
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    • 2014
  • We increasingly see the importance of employees acquiring enough expert capability or innovation capability to prepare for ever growing uncertainties in their operation domains. However, despite the above circumstances, there have not been an enough number of researches on how operational input components for employees' innovation outcome, innovation activities such as acquisition, exercise and promotion effort of employee's innovation capability, and their resulting innovation outcome interact with each other. This trend is believed to have been resulted because most of the current researches on innovation focus on the units of country, industry and corporate entity levels but not on an individual corporation's innovation input components, innovation outcome and innovation activities themselves. Therefore, this study intends to avoid the currently prevalent study frames and views on innovation and focus more on the strategic policies required for the enhancement of an organization's innovation capabilities by quantitatively analyzing employees' innovation outcomes and their most suggested relevant innovation activities. The research model that this study deploys offers both linear and structural model on the trio of learning, innovation capability and innovation outcome, and then suggests the 4 relevant hypotheses which are quantitatively tested and analyzed as follows: Hypothesis 1] The different levels of innovation capability produce different innovation outcomes (accepted, p-value = 0.000<0.05). Hypothesis 2] The different amounts of learning time produce different innovation capabilities (rejected, p-value = 0.199, 0.220>0.05). Hypothesis 3] The different amounts of learning time produce different innovation outcomes. (accepted, p-value = 0.000<0.05). Hypothesis 4] the innovation capability acts as a significant parameter in the relationship of the amount of learning time and innovation outcome (structural modeling test). This structural model after the t-tests on Hypotheses 1 through 4 proves that irregular on-the-job training and e-learning directly affects the learning time factor while job experience level, employment period and capability level measurement also directly impacts on the innovation capability factor. Also this hypothesis gets further supported by the fact that the patent time absolutely and directly affects the innovation capability factor rather than the learning time factor. Through the 4 hypotheses, this study proposes as measures to maximize an organization's innovation outcome. firstly, frequent irregular on-the-job training that is based on an e-learning system, secondly, efficient innovation management of employment period, job skill levels, etc through active sponsorship and energization community of practice (CoP) as a form of irregular learning, and thirdly a model of Yί=f(e, i, s, t, w)+${\varepsilon}$ as an innovation outcome function that is soundly based on a smart system of capability level measurement. The innovation outcome function is what this study considers the most appropriate and important reference model.

Adaptive Learning Path Recommendation based on Graph Theory and an Improved Immune Algorithm

  • BIAN, Cun-Ling;WANG, De-Liang;LIU, Shi-Yu;LU, Wei-Gang;DONG, Jun-Yu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.5
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    • pp.2277-2298
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    • 2019
  • Adaptive learning in e-learning has garnered researchers' interest. In it, learning resources could be recommended automatically to achieve a personalized learning experience. There are various ways to realize it. One of the realistic ways is adaptive learning path recommendation, in which learning resources are provided according to learners' requirements. This paper summarizes existing works and proposes an innovative approach. Firstly, a learner-centred concept map is created using graph theory based on the features of the learners and concepts. Then, the approach generates a linear concept sequence from the concept map using the proposed traversal algorithm. Finally, Learning Objects (LOs), which are the smallest concrete units that make up a learning path, are organized based on the concept sequences. In order to realize this step, we model it as a multi-objective combinatorial optimization problem, and an improved immune algorithm (IIA) is proposed to solve it. In the experimental stage, a series of simulated experiments are conducted on nine datasets with different levels of complexity. The results show that the proposed algorithm increases the computational efficiency and effectiveness. Moreover, an empirical study is carried out to validate the proposed approach from a pedagogical view. Compared with a self-selection based approach and the other evolutionary algorithm based approaches, the proposed approach produces better outcomes in terms of learners' homework, final exam grades and satisfaction.

The Effectiveness of Team-based Case-based Learning Approach on the Learning Outcome: A Single Course Level in a University Setting

  • Hye Yeon Sin
    • Korean Journal of Clinical Pharmacy
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    • v.32 no.4
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    • pp.328-335
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    • 2022
  • Background: Case-based learning (CBL) is becoming an important approach for improving interprofessional collaboration education. Previous studies have examined learners' satisfaction with interprofessional education (IPE) in medical institutions. However, there are few studies on the implementation of university-led CBL interventions and their direct effects on learning outcomes. The aim of this study was to evaluate the effectiveness of CBL interventions on changes in the participants' perception and knowledge acquisition ability. Methods: The CBL approach consisted of team-based case-based learning, self-directed learning, and post-feedback. It was conducted as a single course for pharmacy students in their 5th year in a university setting. Changes in the participants' perceptions and self-assessments of competence levels were evaluated using survey responses. The effect of the CBL intervention on knowledge acquisition ability was directly evaluated using the exam score. Results: The majority agreed or strongly agreed that team-based case-based learning, and self-directed learning helped them to improve their knowledge and skills to a higher level and to increase the self-assessment of competency level. The average score of knowledge acquisition ability (average score of 75.0, p=0.0098) was significantly higher in the CBL intervention group than the lecture-based learning intervention group (average score of 52.0). Conclusion: The participants positively perceived that CBL intervention helped them to effectively improve their knowledge and the self-assessment of competency level. It also enhanced knowledge acquisition ability. These data, based on the survey responses, suggest that it is necessary to implement CBL interventions in a university-led single professional education.