• Journal of Engineering Education Research
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• v.26 no.4
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• pp.11-21
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• 2023

In engineering education, stimulating students' questions and encouraging learning participation are crucial for achieving higher-order thinking abilities. This study aims to investigate the use and effect of an online communication channel in fostering engineering students' questioning abilities. Consequently, in this research, we gauged students' satisfaction with an engineering class that implemented a communication channel, and scrutinized the changes in their perceptions regarding the significance of questions, their engagement in learning, and their academic self-efficacy. In addition, we interviewed the students who participated in the class. The outcomes are as follows: Firstly, student satisfaction improved compared to the previous semester's class where the communication channel was not utilized. Secondly, learners' understanding of the importance of asking questions positively escalated, alongside their actual frequency of posing questions. Thirdly, there was an improvement in learners' active engagement in their studies and their academic self-confidence. The findings of this research suggest that communication channels should be employed to motivate learners to pose questions and involve students in effective learning.

• Korean Medical Education Review
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• v.25 no.1
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• pp.68-77
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• 2023

Basic medical education is important for developing the competencies of medical doctors, and it includes basic biomedical sciences, preventive medicine, medical ethics, and clinical science. This study aimed to reveal the current status of the Korean Medical Licensing Examination (KMLE) regarding its evaluation of competencies in basic biomedical sciences. The basic medicine-related questions were screened and selected from the test forms of the KMLE (2016-2018) by personnel conducting basic biomedical science education, and the selected questions were analyzed by three independent groups of undergraduate students at Chonnam National University Medical School in terms of the learning outcomes of basic medical education. The study scope includes the proportion of basic medicine-related questions, which consist of basic medicine questions and basic medicine-related clinical medicine questions, its annual change, discipline distribution, and associated learning outcomes. The average proportions of basic biomedical sciences, preventive medicine and medical law, and clinical sciences were 2.3%, 5.8%, and 91.9% of all questions, respectively. The proportion of basic medicine-related questions, except those on preventive medicine and medical law, was 22.0% of the total, and questions on pharmacology and microbiology accounted for 83.0% of the basic medicine-related questions. The proportion of sub-enabling learning outcomes linked with basic medicine-related questions comprised 14.0% of the total outcomes for basic biomedical sciences and 30.4% for preventive medicine and medical law. It is concluded that the KMLE questions may not sufficiently cover the essential competencies of basic medical education for medical doctors, and the KMLE may need to be improved with regard to competencies in basic biomedical sciences.

• Journal of The Korean Association For Science Education
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• v.38 no.2
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• pp.235-247
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• 2018

The student's pre-questions (pre-class questions related to the learning contents) not only provide the teacher a gauge of the interest and level of the student, but also provide a useful means of providing clues to proceed with the teaching-learning process. The purpose of this study is to develop an analytical framework for effectively analyzing students' pre-questions and to analyze students' pre-questions related to elementary science learning unit of the 2009 revised curriculum by applying this framework. The developed framework is composed of three major categories: knowledge type, extended type, and curious type, each of which is then subdivided into several sub-categories. Using the developed analysis framework, 914 pre-questions from the students presented in the $5^{th}$ and $6^{th}$ grades of elementary science in the 2009 revised curriculum were analyzed, and the types of questions distributed by grade. The percentage of questions by type was also different. Based on the results of this study, students' needs for learning can be grasped through the pre-questions analysis framework and reflected in the teaching-learning process, and student-centered learning contents and methods could be presented. It is expected to make a meaningful contribution to the analysis framework.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.349-359
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• 2022

The purpose of this study is to add and revalidate items of learning cognition and learning emotion factors for online use of the K-LSS for junior college. It is important for self-reflection and improvement of academic achievement to specifically explore and analyze the sub-factors of learning cognition, learning behavior, and learning emotion for each item that can affect the learning strategy of junior college students. The added items are two items for diagnosing the concentration of attention in the learning information processing process of the learning cognitive factor and two questions about the interpersonal anxiety factor for diagnosing the level of anxiety about others in the learning emotional factor. The study area was conducted in 5 areas nationwide, and the subjects of the study were 923 junior college students excluding 327 respondents who answered insincerity. The K-LSS_r scale is a learning strategy diagnosis scale of 52 questions composed of three sub-elements of learning cognition (18 questions), learning emotion (15 questions), and learning behavior (19 questions), and reliability for generalization in this study. As a result of the verification, Cronbach's α coefficient of the entire scale was .896, and Cronbach's α coefficient of the three factors ranged from .876 to .910. The half-segment reliability coefficient of the scale was .858 in total, and the half-segment reliability coefficients of the three factors ranged from .792 to .843. The test-retest reliability verification result for 3 weeks for 350 Junior college Students in 5 regions was .884, and the validity test for generalization also confirmed that the recruitment validity is significant.

• Journal of The Korean Association of Information Education
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• v.22 no.1
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• pp.159-167
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• 2018

In this study, we have developed an online learning community site using Humhub social network software and promote social constructive learning through the questions and answers in subject specific learning groups. By accumulating learning contents which consist of questions and answers about specific topics, learners can acquire knowledge by searching relevant topics and questions and can create and reconstruct knowledge as well as consuming knowledge by participating in self-regulated learning community. We have developed a mathematical editor feature which enables users to enter mathematical expression such as equations and greek characters. Online learning community sites can be used for inquiry based information education.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.8
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• pp.1608-1614
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• 2009

Many learners on E-learning databank based selection system making self-directed progress with learning by diagnosis oneself based on automatically selection questions using degrees of difficulty. This methods is most important to choose a questions using right a way for effective self-directed learning progress of learners. This paper present new question selection algorithms consider for degree of difficulty, scope of learning and keyword of questions according to examination type. This algorithm providers more effective learning diagnosis methods as compared with previous algorithm consider for only degrees of difficulty.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3266-3285
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• 2023

With the popularity of online learning, intelligent tutoring systems are starting to become mainstream for assisting online question practice. Surrounded by abundant learning resources, some students struggle to select the proper questions. Personalized question recommendation is crucial for supporting students in choosing the proper questions to improve their learning performance. However, traditional question recommendation methods (i.e., collaborative filtering (CF) and cognitive diagnosis model (CDM)) cannot meet students' needs well. The CDM-based question recommendation ignores students' requirements and similarities, resulting in inaccuracies in the recommendation. Even CF examines student similarities, it disregards their knowledge proficiency and struggles when generating questions of appropriate difficulty. To solve these issues, we first design an enhanced cognitive diagnosis process that integrates students' affection into traditional CDM by employing the non-compensatory bidimensional item response model (NCB-IRM) to enhance the representation of individual personality. Subsequently, we propose an affection-enhanced personalized question recommendation (AE-PQR) method for online learning. It introduces NCB-IRM to CF, considering both individual and common characteristics of students' responses to maintain rationality and accuracy for personalized question recommendation. Experimental results show that our proposed method improves the accuracy of diagnosed student cognition and the appropriateness of recommended questions.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.281-291
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• 2021

The Islamic jurisprudential legal system represents an essential component of the Islamic religion, that governs many aspects of Muslims' daily lives. This creates many questions that require interpretations by qualified specialists, or Muftis according to the main sources of legislation in Islam. The Islamic jurisprudence is usually classified into branches, according to which the questions can be categorized and classified. Such categorization has many applications in automated question-answering systems, and in manual systems in routing the questions to a specialized Mufti to answer specific topics. In this work we tackle the problem of automatic categorisation of Islamic jurisprudential legal questions using deep learning techniques. In this paper, we build a hierarchical deep learning model that first extracts the question text features at two levels: word and sentence representation, followed by a text classifier that acts upon the question representation. To evaluate our model, we build and release the largest publicly available dataset of Islamic questions and answers, along with their topics, for 52 topic categories. We evaluate different state-of-the art deep learning models, both for word and sentence embeddings, comparing recurrent and transformer-based techniques, and performing extensive ablation studies to show the effect of each model choice. Our hierarchical model is based on pre-trained models, taking advantage of the recent advancement of transfer learning techniques, focused on Arabic language.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1615-1622
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• 2022

In order to overcome the limitations of the instructor-centered lecture-style teaching method, recently, flipped learning, a learner-centered teaching method, has been widely introduced. However, despite the many advantages of flipped learning, there is a problem that students cannot solve questions that arise during prior learning in real time. Therefore, in order to solve this problem, we developed DBbot, an assistant chatbot for database design course managed in the flipped learning method. The DBBot is composed of a chatbot app for learners and a chatbot management app for instructors. Also, it's implemented so that questions that instructors can anticipate in advance, such as questions related to class operation and every semester repeated questions related to learning content, can be answered using Google's DialogFlow. It's implemented so that questions that the instructor cannot predict in advance, such as questions related to team projects, can be answered using the question/answer DB and the BM25 algorithm, which is a similarity comparison algorithm.

• Journal of Korean society of Dental Hygiene
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• v.15 no.2
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• pp.303-310
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• 2015

Objectives: The purpose of this study was to examine the influence of cooperative learning on the learning attitude and self-directed learning capability of learners. Methods: The subjects were 50 sophomores enrolled in cooperative learning for 12-week period from March to June, 2014. A self-reported questionnaire was completed by the subjects. The instruments were 16 questions of learning attitude, 32 questions of self-directed learning, academic achievement, and 12 questions of satisfaction with instruction by Likert 5 scale. Cronbach's alpha was 0.84 in the previous study and 0.78 in this study. Self-directed learning was modified by Yoo and Cheong. Cronbach's alpha of self-directed learning was 0.86 in this study. Academic achievement was assessed by before and after the cooperative learning class. Cronbach's alpha was 0.95 in this study. Their learning attitude and self-directed learning capability were evaluated before and after the cooperative learning, and their satisfaction with the instruction and academic achievement were assessed by the written examination. Results: The score of learning attitude increased from 2.89 in the pretest to 3.38 in the posttest. The self-directed learning of the students increased from 2.98 in the pretest to 3.48 in the posttest. The academic achievement of students also increased from 82.0 in the pretest to 85.2 in the posttest. The satisfaction with instruction was 4.24 of Likert 5 scale. There were significant differences in satisfaction with instruction, cooperative learning and academic achievement. Conclusions: It is important to develop the cooperative learning program linked to self-directed learning for the dental hygiene students continuously. This study will provide the basic data and information for the development of new teaching methods for the dental hygiene.