1,721,464 research outputs found
[Carr, C. L. (Chu - Chu) - Football Player]
No full textPhotograph of C. L. "Chu - Chu," a Football player, taken on the 1st of May 1942 as he poses on a column outside
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[Carr, C. L. (Chu - Chu) - Football Player]
No full textPhotograph of C. L. "Chu - Chu," a Football player, taken on the 1st of May 1942 as he poses on a column outside
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Doctoral thesis recital (violin) chamber
No full textString quartet no. 8 in E minor, op. 59 no. 2 / Ludwig van Beethoven (Changming Li, Chu Chu, violins ; Chu Young Kim, viola ; Seungsei Kim, cello) -- String sextet in D minor : "Souvenir de Florence" : op. 70 / Pyotr Ilyich Tchaikovsky (Chu Chu, Changming Li, violins ; Chu Young Kim, Ruben Balboa III, violas ; Seungsei Kim, Kelvin Lee, cellos).Musi
[Carr, C. L. (Chu-Chu) - Football Player - 1942]
No full textPhotograph of the football player C. L. "Chu-Chu" in 1942. The male individual is posing on a column outside
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[Carr, C. L. (Chu-Chu) - Football Player - 1942]
No full textPhotograph of the football player C. L. "Chu-Chu" in 1942. The male individual is posing on a column outside
PENGARUH LINGKUNGAN KERJA, MOTIVASI DAN KOMUNIKASI TERHADAP KEPUASAN KERJA KARYAWAN PT CHU CHU TEKNOLOGI INDONESIA DI JAKARTA
No full textPenelitian ini bertujuan untuk menganalisis Pengaruh Lingkungan Kerja, Motivasi, dan Komunikasi terhadap Kepuasan Kerja Karyawan PT. Chu Chu Teknologi Indonesia di Jakarta. Penelitian ini dilakukan dengan metode sampel sensus (semua anggota populasi dijadikan sebagai sampel).
Objek penelitian ini adalah seluruh karyawan di PT. Chu Chu Teknologi dengan populasi 72 orang. Analisis data menggunakan analisis Smart PLS. Hasil penelitian menyimpulkan bahwa lingkungan kerja, motivasi dan komunikasi berpengaruh signifikan terhadap kepuasan kerja kerja PT. Chu Chu Teknologi Indonesia di Jakarta.
Pembimbing: Iwan Prasodjo, Drs., S.E, M.A
What do interest inventories measure? The convergence and content validity of four RIASEC inventories
Full text linkMost interest inventories aim to measure the same core interest traits based on Holland’s (1997) RIASEC model. Despite the widespread use of RIASEC interest inventories, little is known about the extent to which these inventories actually measure the same core constructs and provide similar career recommendations to individuals. The current study investigates the convergent validity among four major interest inventories—the Self-Directed Search (SDS), the O*NET Interest Profiler (IP), the ACT Interest Inventory (UNIACT), and the Strong Interest Inventory (SII). Three methods were used to analyze different aspects of convergence: 1) correlated trait-correlated methods (CT-CM) model, 2) high-point code agreements, and 3) item content analysis. Results showed that, although RIASEC interest scores from the four inventories were highly correlated, the measures often gave respondents different high point codes that lead to divergent career recommendations. Moreover, item content analysis revealed that while the inventories measure some common basic interest dimensions, they also assess distinct peripheral basic interests. Integrating findings from these three unique perspectives, we put forth practical recommendations for constructing future interest inventories to increase convergence. We also discuss the importance of using multiple methods to investigate convergent validity, especially content analysis which provides foundational guidance for interpreting results from existing interest inventories.Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2021-09-16 without embargo termsThe student, Chu Chu, accepted the attached license on 2021-04-30 at 11:46.The student, Chu Chu, submitted this Thesis for approval on 2021-04-30 at 11:59.This Thesis was approved for publication on 2021-04-30 at 13:05.DSpace SAF Submission Ingestion Package generated from Vireo submission #16625 on 2021-09-16 at 16:49:48Made available in DSpace on 2021-09-17T01:13:35Z (GMT). No. of bitstreams: 2
CHU-THESIS-2021.pdf: 824475 bytes, checksum: de457f108dcae36c437741ca68b36e79 (MD5)
LICENSE.txt: 4204 bytes, checksum: e570bab94f175e7382d4771823ced8de (MD5)
Previous issue date: 2021-04-3
Prospettive al femminile nella Cina contemporanea: l’arte calligrafica di Chu Chu
No full textLa calligrafia cinese, riconosciuta come patrimonio immateriale dell'UNESCO nel 2009, è un simbolo della cultura cinese. Anche se questa disciplina ha subito una trasformazione nel tempo, estendendosi oltre i confini geografici (la Cina) e materiali (la carta e l’inchiostro), rimane un ambito artistico dominato da figure maschili. Questo elaborato indaga il ruolo marginale che le donne continuano a occupare nella pratica calligrafica, nonostante il loro impegno attivo nell’ambito. Si porterà l’esempio dei diversi artisti e artiste che hanno caratterizzato l’evoluzione storica della calligrafia fino alla contemporaneità, culminando nell’esempio di Chu Chu, artista cinese che coniuga fotografia, pittura e calligrafia. L'elaborato è sviluppato in quattro capitoli nei quali si offre una panoramica sulla calligrafia cinese tradizionale, l’evoluzione dei movimenti artistici contemporanei, la questione della calligrafia femminile e un approfondimento sulla figura e le opere di Chu Chu
Integrating technological innovations with advances in vocational interest research: Development of a career guidance chatbot prototype
Full text linkSubmission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo termsThe student, Chu Chu, accepted the attached license on 2024-07-09 at 16:01.The student, Chu Chu, submitted this Dissertation for approval on 2024-07-09 at 16:26.This Dissertation was approved for publication on 2024-07-10 at 16:24.DSpace SAF Submission Ingestion Package generated from Vireo submission #21020 on 2025-02-04 at 21:04:47Under the background of job market turmoil and rapid advancements in technology, there is an increasing need for career guidance amongst U.S. workers. This dissertation advances the field of vocational interest measurement in the context of career counseling by building three sets of tools that are designed to work together for assessing person-occupation (P-O) fit through chat-based text data. Study 1 presents the Comprehensive Assessment of Basic Interests—O*NET (CABIN-NET), a survey instrument connecting basic interests with ONET’s occupational knowledge variables for assessing P-O fit. Study 2 Part 1 details the design of the Career Guidance Chatbot (CGC-bot), an AI-powered conversational agent that collects diverse, valuable work preference information from users. Lastly, Study 2 Part 2 leverages Natural Language Processing (NLP) & Machine Learning (ML) techniques for building twenty machines that effectively predict basic interest scores from users’ chat history with the CGC-bot. Subsequently, these machine-predicted scores were connected to the O*NET data through the CABIN-NET framework, ultimately offering suitable O*NET occupation suggestions. Therefore, this dissertation provides innovative and useful tools for people who need efficient yet detailed career guidance. Furthermore, this work sets the benchmark for future research that aims to measure vocational interest with non-traditional data types, and it paved paths for numerous research fronts for advancing interest measurement in the new era
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