• Title/Summary/Keyword: Vocabulary learning

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Validity of Language-Based Algorithms Trained on Supervisor Feedback Language for Predicting Interpersonal Fairness in Performance Feedback

  • Jisoo Ock;Joyce S. Pang
    • Asia pacific journal of information systems
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    • v.33 no.4
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    • pp.1118-1134
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    • 2023
  • Previous research has shown that employees tend to react more positively to corrective feedback from supervisors to the extent they perceive that they were treated with empathy, respect, and concern towards fair interpersonal treatment in receiving the feedback information. Then, to facilitate effective supervisory feedback and coaching, it would be useful for organizations to monitor the contents of feedback exchanges between supervisors and employees to make sure that supervisors are providing performance feedback using languages that are more likely to be perceived as interpersonally fair. Computer-aided text analysis holds potential as a useful tool that organizations can use to efficiently monitor the quality of the feedback messages that supervisors provide to their employees. In the current study, we applied computer-aided text analysis (using closed-vocabulary text analysis) and machine learning to examine the validity of language-based algorithms trained on supervisor language in performance feedback situations for predicting human ratings of feedback interpersonal fairness. Results showed that language-based algorithms predicted feedback interpersonal fairness with reasonable level of accuracy. Our findings provide supportive evidence for the promise of using employee language data for managing (and improving) performance management in organizations.

Utilizing Deep Learning for Early Diagnosis of Autism: Detecting Self-Stimulatory Behavior

  • Seongwoo Park;Sukbeom Chang;JooHee Oh
    • International Journal of Advanced Culture Technology
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    • v.12 no.3
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    • pp.148-158
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    • 2024
  • We investigate Autism Spectrum Disorder (ASD), which is typified by deficits in social interaction, repetitive behaviors, limited vocabulary, and cognitive delays. Traditional diagnostic methodologies, reliant on expert evaluations, frequently result in deferred detection and intervention, particularly in South Korea, where there is a dearth of qualified professionals and limited public awareness. In this study, we employ advanced deep learning algorithms to enhance early ASD screening through automated video analysis. Utilizing architectures such as Convolutional Long Short-Term Memory (ConvLSTM), Long-term Recurrent Convolutional Network (LRCN), and Convolutional Neural Networks with Gated Recurrent Units (CNN+GRU), we analyze video data from platforms like YouTube and TikTok to identify stereotypic behaviors (arm flapping, head banging, spinning). Our results indicate that the LRCN model exhibited superior performance with 79.61% accuracy on the augmented platform video dataset and 79.37% on the original SSBD dataset. The ConvLSTM and CNN+GRU models also achieved higher accuracy than the original SSBD dataset. Through this research, we underscore AI's potential in early ASD detection by automating the identification of stereotypic behaviors, thereby enabling timely intervention. We also emphasize the significance of utilizing expanded datasets from social media platform videos in augmenting model accuracy and robustness, thus paving the way for more accessible diagnostic methods.

A Fuzzy Retrieval System to Facilitate Associated Learning in Problem Banks (문제 은행에서 연상학습을 지원하는 퍼지 검색 시스템)

  • Choi, Jae-hun;Kim, ji-Suk;Cho, Gi-Hwan
    • Journal of KIISE:Software and Applications
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    • v.29 no.4
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    • pp.278-288
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    • 2002
  • This paper presents a design and implementation of fuzzy retrieval system that could support an associated learning in problem banks. It tries to retrieve some of the problems conceptually related to specific semantics described by user's queries. In particular, the problem retrieval system employs a fuzzy thesaurus which represents relationships between domain dependent vocabularies as fuzzy degrees. It would keep track of characteristics of the associated learning, which should guarantee high recall and acceptable precision for retrieval effectiveness. That is, since the thesaurus could make a vocabulary mismatch problem resolved among query terms and document index terms, this retrieval system could take a chance to effectively support user's associated teaming. Finally, we have evaluated whether the fuzzy retrieval system is appropriate for the associated teaming or not, by means of its precision and recall rate point of view.

V-Killer: An English Vocabulary Game using Searching and Ranking based on Mobile (V-Killer: 검색과 랭킹을 이용한 모바일 기반의 영어 단어 맞추기 게임)

  • Jung, Eun-Ji;Lee, Hyun-Joo;Kwon, Jin-Hee;Song, Hye-Ju;Park, Young-Ho;Lee, Jong-Woo;Park, Hwa-Jin
    • Journal of Digital Contents Society
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    • v.10 no.1
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    • pp.17-26
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    • 2009
  • Recently, an interest in mobile games is increasing according to the extension of the high speed network infra and the development of mobile devices. Specially, the mobile game for learning can help to reinforce an academic performance and an interest for a brief time anytime anywhere. Thus, we propose new mobile contents named V-Killer which combines learning with a game. V-Killer is a word puzzle game which has functions of ranking and searching. The game can get feedback on your learning or progress and choose the degree of difficulty according to the ability of the user. The game lead to an interaction of user and games as sets questions by user, in addition, it is easy to operate and has a simple construction. In the paper, we implement the proposed game on the mobile and present the game.

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Vocabulary Learning from Storybooks : Effects of a Teacher's Reading Strategy on Korean Preschoolers with Different Prior Word Knowledge (이야기책을 통한 취학 전 아동의 어휘력 발달에 관한 연구 : 개인차에 따른 교사 읽기 방법의 차별적 영향을 중심으로)

  • Han, Eun Hae
    • Korean Journal of Child Studies
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    • v.22 no.1
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    • pp.251-271
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    • 2001
  • 교사가 이야기책을 반복하여 읽어주는 (a multiple reading) 과정에서 아동이 새로운 단어에 해당하는 그림을 보고 그 단어를 명명하게 하는 (a labeling strategy) 읽기 방법이 아동의 어휘획득에 연령과 경험에 따라 차별적인 효과를 가져오는가, 또한 동일한 읽기 방법이 그룹 상황에 적용되었을 때 일대일 상황에서 얻어지는 효과와 같은 효율성을 갖는가의 문제가 각각의 실험에서 다루어졌다. 양 실험에서 각 연령 (4, 5세) 집단은 그림 어휘력 검사의 표준 점수 결과를 기준으로 하여, 상 하 두 어휘력 집단으로 나뉘어졌다. 아동이 설정된 새로운 단어를 획득한 결과는 comprehensive와 productive 어휘력 검사를 통해 측정되었다. 첫 번째 실험에서 4세와 5세 아동들은 각 연령 집단에서 교사가 일 대 일로 이야기책을 읽어줄 때, 수동적으로 듣거나 또는 설정된 단어에 해당하는 그림을 보며 직접 명명할 수 있었다. 두 번째 실험에서는 첫 번째 실험에 참여한 4세 아동들이 같은 읽기 방법으로 그룹 상황에서 읽혀졌다. 첫 번째 실험 결과, 새로운 단어를 comprehend 하고 produce 하는데 5세 아동이 4세 아동 보다 나은 기제를 갖고 있는지는 분명히 밝혀지지 않았다. 결과를 통해 분명하게 밝혀진 것은 이야기책이 읽혀지는 동안 얻어지는 comprehensive 어휘와 productive 어휘에는 차이가 있다는 것이다. 아동들은, 특히 어릴수록, 새로운 단어를 comprehend 하는데 있어서는 labeling strategy의 효과를 보지 못한 반면, 단어를 produce 하는데 있어서는 동일한 방법이 단순한 반복 읽기 보다 효과적이었다. 덧붙여, 어휘력에 있어 상위 집단에 속한 아동이 하위 집단에 속한 아동 보다 더 많은 단어를 comprehend 하고 produce 한다는 점을 확인시켰다. 두 번째 실험 결과는 그룹 상황에서 4세 아동에게 이야기책을 읽어줌으로써 새로운 단어를 획득하게 할 수 있다는 것을 보여 주었다. 사용된 labeling strategy는 특히 productive 어휘 획득에 효과적인 것으로 나타났으며, 따라서 일대일 상황에서 뿐 아니라 그룹 상황에서도 중요한 요소로 보였다. 덧붙여, productive 어휘 획득에 있어서 labeling strategy의 효과는 어휘력에 있어 하위 집단에 속한 아동에게는 상황에 따라 다른 결과를 가져왔다. 즉, labeling strategy의 효과에 있어서 하위 집단의 아동들은 그룹보다 일대일 상황에서 productive 어휘를 더 많이 획득했다. 연구결과, productive 어휘력 발달을 위하여 교사는 일대일 책읽기 뿐 아니라 그룹 책 읽기에서도 labeling strategy를 사용하는 것을 고려해야 하며, 비교적 적은 어휘력을 갖고 있는 아동에게는 일대일 상황에서 labeling strategy를 사용하여 이야기책을 읽어주는 시간을 할당할 것을 제시했다.

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Why A Multimedia Approach to English Education\ulcorner

  • Keem, Sung-uk
    • Proceedings of the KSPS conference
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    • 1997.07a
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    • pp.176-178
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    • 1997
  • To make a long story short I made up my mind to experiment with a multimedia approach to my classroom presentations two years ago because my ways of giving instructions bored the pants off me as well as my students. My favorite ways used to be sometimes referred to as classical or traditional ones, heavily dependent on the three elements: teacher's mouth, books, and chalk. Some call it the 'MBC method'. To top it off, I tried audio-visuals such as tape recorders, cassette players, VTR, pictures, and you name it, that could help improve my teaching method. And yet I have been unhappy about the results by a trial and error approach. I was determined to look for a better way that would ensure my satisfaction in the first place. What really turned me on was a multimedia CD ROM title, ELLIS (English Language Learning Instructional Systems) developed by Dr. Frank Otto. This is an integrated system of learning English based on advanced computer technology. Inspired by the utility and potential of such a multimedia system for regular classroom or lab instructions, I designed a simple but practical multimedia language learning laboratory in 1994 for the first time in Korea(perhaps for the first time in the world). It was high time that the conventional type of language laboratory(audio-passive) at Hahnnam be replaced because of wear and tear. Prior to this development, in 1991, I put a first CALL(Computer Assisted Language Learning) laboratory equipped with 35 personal computers(286), where students were encouraged to practise English typing, word processing and study English grammar, English vocabulary, and English composition. The first multimedia language learning laboratory was composed of 1) a multimedia personal computer(486DX2 then, now 586), 2) VGA multipliers that enable simultaneous viewing of the screen at control of the instructor, 3) an amplifIer, 4) loud speakers, 5)student monitors, 6) student tables to seat three students(a monitor for two students is more realistic, though), 7) student chairs, 8) an instructor table, and 9) cables. It was augmented later with an Internet hookup. The beauty of this type of multimedia language learning laboratory is the economy of furnishing and maintaining it. There is no need of darkening the facilities, which is a must when an LCD/beam projector is preferred in the laboratory. It is headset free, which proved to make students exasperated when worn more than- twenty minutes. In the previous semester I taught three different subjects: Freshman English Lab, English Phonetics, and Listening Comprehension Intermediate. I used CD ROM titles like ELLIS, Master Pronunciation, English Tripple Play Plus, English Arcade, Living Books, Q-Steps, English Discoveries, Compton's Encyclopedia. On the other hand, I managed to put all teaching materials into PowerPoint, where letters, photo, graphic, animation, audio, and video files are orderly stored in terms of slides. It takes time for me to prepare my teaching materials via PowerPoint, but it is a wonderful tool for the sake of presentations. And it is worth trying as long as I can entertain my students in such a way. Once everything is put into the computer, I feel relaxed and a bit excited watching my students enjoy my presentations. It appears to be great fun for students because they have never experienced this type of instruction. This is how I freed myself from having to manipulate a cassette tape player, VTR, and write on the board. The student monitors in front of them seem to help them concentrate on what they see, combined with what they hear. All I have to do is to simply click a mouse to give presentations and explanations, when necessary. I use a remote mouse, which prevents me from sitting at the instructor table. Instead, I can walk around in the room and enjoy freer interactions with students. Using this instrument, I can also have my students participate in the presentation. In particular, I invite my students to manipulate the computer using the remote mouse from the student's seat not from the instructor's seat. Every student appears to be fascinated with my multimedia approach to English teaching because of its unique nature as a new teaching tool as we face the 21st century. They all agree that the multimedia way is an interesting and fascinating way of learning to satisfy their needs. Above all, it helps lighten their drudgery in the classroom. They feel other subjects taught by other teachers should be treated in the same fashion. A multimedia approach to education is impossible without the advent of hi-tech computers, of which multi functions are integrated into a unified system, i.e., a personal computer. If you have computer-phobia, make quick friends with it; the sooner, the better. It can be a wonderful assistant to you. It is the Internet that I pay close attention to in conjunction with the multimedia approach to English education. Via e-mail system, I encourage my students to write to me in English. I encourage them to enjoy chatting with people all over the world. I also encourage them to visit the sites where they offer study courses in English conversation, vocabulary, idiomatic expressions, reading, and writing. I help them search any subject they want to via World Wide Web. Some day in the near future it will be the hub of learning for everybody. It will eventually free students from books, teachers, libraries, classrooms, and boredom. I will keep exploring better ways to give satisfying instructions to my students who deserve my entertainment.

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Automatic Generation of Vocabulary Problem for Learning Korean as a Foreign Language (외국인의 한국어 학습을 위한 어휘 문제 자동 생성)

  • Kim, Seong-Uk;Lim, JaeHyun;Kim, Yein;Lee, Hyun Ah
    • Annual Conference on Human and Language Technology
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    • 2014.10a
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    • pp.247-250
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    • 2014
  • 국내에서 거주하는 외국인들을 대상으로 한 여러 정책들이 만들어지고 있다, 그에 따른 한국어 교육의 수요는 증가하고 있지만 그에 적합한 한국어 교육시스템의 자동화 및 발전은 미약하다. 본 논문에서는 사전예문과 획득이 용이한 말뭉치를 가공하여 적절한 수준의 문제를 자동으로 생성하는 방법을 제안한다. 자동문제생성에서는 말뭉치와 사전 예문에서 문제와 보기문항을 생성하고, 보기 리스트를 생성한다. 웹문서 검색빈도를 이용하여 생성된 보기리스트의 적합성을 분석하여 정제된 보기 리스트를 획득한다. 얻어진 보기들을 임의로 선택하여 출력함으로써 사용자들이 다양한 문제를 접할 수 있도록 한다.

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Determining the Optimal Number of Signal Clusters Using Iterative HMM Classification

  • Ernest, Duker Junior;Kim, Yoon Joong
    • International journal of advanced smart convergence
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    • v.7 no.2
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    • pp.33-37
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    • 2018
  • In this study, we propose an iterative clustering algorithm that automatically clusters a set of voice signal data without a label into an optimal number of clusters and generates hmm model for each cluster. In the clustering process, the likelihood calculations of the clusters are performed using iterative hmm learning and testing while varying the number of clusters for given data, and the maximum likelihood estimation method is used to determine the optimal number of clusters. We tested the effectiveness of this clustering algorithm on a small-vocabulary digit clustering task by mapping the unsupervised decoded output of the optimal cluster to the ground-truth transcription, we found out that they were highly correlated.

Effects of Word Recall on English Vocabulary Learning (단어회상이 영어어휘 학습에 미치는 영향)

  • Baik, Yeonji;Choi, Jiyoun;Chung, Taewon;Nam, Kichun
    • Annual Conference on Human and Language Technology
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    • 2009.10a
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    • pp.247-250
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    • 2009
  • 본 실험에서는 단어회상이 영어어휘 학습에 미치는 영향을 살펴보기 위해 160개 단어 쌍에 대해 어휘학습을 실시하였다. 세 종류의 어휘 학습 방법(교대학습, 반복검사, 반복학습)을 채택하여 학습을 실시하였으며 학습 1주일 후 160개 단어 쌍에 대해 지연회상검사를 실행하였다. 그 결과 세 종류의 어휘 학습 방법 중 단어회상을 강조한 두 개의 어휘 학습 방법에서 그렇지 않은 조건에 비해 유의미하게 좋은 지연회상률을 보였다. 또한 실험 참가자를 대상으로 선호하는 학습 방법에 대해 설문조사를 실시한 결과 63.5%의 설문 응답자가 한 번 학습한 것에 대해 스스로 시행하는 회상 검사를 선호하였다. 그러나 자가검증을 통한 회상 검사 자체가 효과적인 학습 방법이라고는 생각하지 않는 것으로 나타났다.

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The Relationship of Children's Achievement Motivation to Children's School Readiness (취학전 아동의 학습준비도와 성취동기와의 관계 -아동용 성취동기 검사(나롱이)의 타당화-)

  • Chung, Kye Sook
    • Korean Journal of Child Studies
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    • v.10 no.2
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    • pp.19-31
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    • 1989
  • The purpose of this research was to examine the concurrent validity of the Nalongyee children's achievement motivation test by studying its relationship to a children's school readiness test. The subjects were 335 preschool children (171 urban and 164 rural) selected from 8 public and 7 private kindergartens located in two metropolitan areas (Seoul and Pusan) and 5 rural counties in Kyungsang Nam Do. Instruments included the Nalongyee Children's Achievement Motivation Test by the author and the School Readiness "Lest by Unhai Rhee. Data were analyzed by Pearson r and Z-test. Readiness was positively related to the total score and sub-areas of achievement motivation (.10-.43). Sub-areas of the achievement motivation test were related to each of the 4 factors of the readiness test. The correlations ranged from .00-.35 with the personal-social response factor, .00-.26 with the associative vocabulary factor, .05-.31 with the number concept factor, and .03-.37 with the perception factor. Significant differences in correlations were found between urban and rural areas for self-confidence, interest in learning, interest in kindergarten and physical competence.

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