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Development of an Automated Hall Effect Experimentation Method for the Electrical Characterization of Thin Films 薄膜电学表征的自动霍尔效应实验方法的发展
Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-10-30 DOI: 10.53819/81018102t4208
A. M. Orega
There has been drastic growth in the microelectronics industry in the recent past. The performance of these materials is influenced by their structural, electrical, and optical properties among others, depending on their applications. Therefore, the need to conduct measurements of the semiconductor characteristics precisely, quickly, and conveniently cannot be overstated. Some of the desirable features of measurements include usability, accuracy, resolution, repeatability, and consistency which cannot be assured with manually operated systems. This study strived to design and interface an automated computer-aided four-point probe test equipment that characterizes materials to determine their electrical properties. A four-point probe head, an electromagnet, NI Keithley model 6220 Precision current source, model 7001 switch, model 2182A Nanovoltmeter, and model 7065 Hall Effect card instruments were interfaced with the NI LabVIEW program running in a computer through a GPIB hub to a PC USB for its full control. The four-probe head was utilized to probe the samples with a square symmetry that was adopted for the measurement of the semiconductor properties. Reliability tests were conducted on a standard P-type Germanium sample. The collected data was within 0.32% of the expected results. This work forms a basis for automating similar systems that were inherently designed to be operated manually. Keywords: Automated Hall Effect, manually operated systems, Hall angle, thin films, string manipulation routines.
在最近的过去,微电子工业有了急剧的增长。这些材料的性能受其结构、电学和光学特性等因素的影响,具体取决于它们的应用。因此,精确、快速、方便地测量半导体特性的必要性是不容小觑的。测量的一些理想特征包括可用性、准确性、分辨率、可重复性和一致性,这些都是人工操作系统无法保证的。本研究致力于设计和连接一个自动化的计算机辅助四点探针测试设备,以确定材料的电学特性。四点探头、电磁铁、NI Keithley型号6220精密电流源、型号7001开关、型号2182A纳电压表和型号7065霍尔效应卡仪器通过GPIB集线器连接到PC USB,与运行在计算机中的NI LabVIEW程序接口,以实现其完全控制。利用四探针头探测具有方形对称性的样品,用于测量半导体性质。对标准p型锗样品进行了可靠性试验。收集到的数据与预期结果的偏差在0.32%以内。这项工作形成了自动化类似系统的基础,这些系统本来是设计为手动操作的。关键词:自动霍尔效应,手动操作系统,霍尔角,薄膜,字符串操作例程。
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引用次数: 0
Deteksi Tingkat Kematangan Buah Pinang Menggunakan Metode Support Vector Machine Berdasarkan Warna Dan Tekstur 利用基于颜色和纹理的支持向量机方法检测阿雷卡坚果的成熟度
Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-09-30 DOI: 10.32938/jitu.v3i2.5323
Regolinda Maneno, Budiman Baso, Patricia G. Manek, Kristoforus Fallo
Penelitian ini bertujuan untuk membangun sistem deteksi tingkat kematangan buah pinang dengan memanfaatkan pengolahan citra digital yang melibatkan fitur-fitur tekstur dan warna. Tahapan awal dalam penelitian adalah melakukan Pre-processing data citra agar dapat disiapkan untuk proses selanjutnya, yaitu ekstraksi fitur. Proses ekstraksi fitur tekstur dilakukan dengan menggunakan Gray Level Co-Occurrence Matrix (GLCM) untuk mengambil nilai Correlation, sementara ekstraksi fitur warna dilakukan dengan metode Color Moments dengan fokus pada nilai Mean. Klasifikasi dengan Support Vector Machine (SVM) dilakukan berdasarkan fitur yang telah diekstraksi sebelumnya, adapun parameter yang diujicobakan adalah jenis kernel yaitu Linear, Gaussian, Polynomial pada algoritma SVM. Dari hasil yang diperoleh menunjukan semua matrik performa dari kernel Polynomial mengungguli kernel yang lain dengan hasil Accuracy yang diperoleh sebesar 90,90%, Precision 90,90%, Recall 92,30% dan F1-Score mecapai 91,60% pada proses deteksi tingkat kematangan buah pinang.
本研究旨在通过使用涉及纹理和颜色特征的数字图像处理来构建槟榔的成熟度检测系统。研究的第一个阶段是对图像数据进行预处理,为提取功能进行准备。纹理提取过程是使用灰色水平的联合矩阵(GLCM)来提取Correlation值,而颜色提取是通过着色方法进行的,重点是值。支持机(SVM)的分类是根据提取的特性进行的,而测试参数是SVM算法上的线性、Gaussian、Polynomial算法的内核类型。结果显示,聚nomial内核的所有性能都超过了其他内核,评测结果为90.90%,准确程度为90.90%,记忆率为92.30%,F1-Score为检测槟榔果的成熟度达到91.60%。
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引用次数: 0
Analisis Kinerja Mikrokomputer Raspberry Pi Pada Smart Greenhouse Berbasis Internet Of Things (IoT) Menggunakan Algoritma Naive Baye 树莓Pi对智能温室的微计算机性能分析(很多)使用的是天真的Baye算法
Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-09-22 DOI: 10.32938/jitu.v3i2.5231
Philipus Asten
Smart Greenhouse adalah sistem yang menggunakan teknologi Internet of Things (IoT) untuk mengontrol dan memantau lingkungan pertumbuhan tanaman secara otomatis. Dalam melakukan analisis kinerja mikrokomputer Raspberry Pi dalam Smart Greenhouse berbasis IoT, dengan menerapkan algoritma Naive Bayes untuk menganalisis data dan membuat keputusan berdasarkan kondisi lingkungan tanaman. Hasil analisis terhadap mikrokomputer Raspberry Pi pada Smart Greenhouse menggunakan algoritma Naive Bayes dapat digunakan untuk memprediksi variabel lingkungan, seperti suhu dan kelembapan, sesuai data yang diperoleh dengan total data set adalah 500 baris menggunakan 4 variabel dengan mempunyai nilai evaluasi terhadap suhu udara dengan MSE (0.25) dan RMSE (0.50), kelembapan udara dengan MSE (0.07) dan RMSE (0.27), kelembapan tanah dengan MSE (0.00) dan RMSE (0.00) dan UV dengan nilai MSE (0.94) dan RMSE(0.97) Smart Greenhouse adalah sistem yang menggunakan teknologi Internet of Things (IoT) untuk mengontrol dan memantau lingkungan pertumbuhan tanaman secara otomatis. Dalam melakukan analisis kinerja mikrokomputer Raspberry Pi dalam Smart Greenhouse berbasis IoT, dengan menerapkan algoritma Naive Bayes untuk menganalisis data dan membuat keputusan berdasarkan kondisi lingkungan tanaman. Hasil analisis terhadap mikrokomputer Raspberry Pi pada Smart Greenhouse menggunakan algoritma Naive Bayes dapat digunakan untuk memprediksi variabel lingkungan, seperti suhu dan kelembapan, sesuai data yang diperoleh dengan total data set adalah 500 baris menggunakan 4 variabel dengan mempunyai nilai evaluasi terhadap suhu udara dengan MSE (0.25) dan RMSE (0.50), kelembapan udara dengan MSE (0.07) dan RMSE (0.27), kelembapan tanah dengan MSE (0.00) dan RMSE (0.00) dan UV dengan nilai MSE (0.94) dan RMSE(0.97)
智能温室是一种利用互联网技术自动控制和监测植物生长环境的系统。在智能温室(Smart Greenhouse)对树莓微计算机性能的分析中,采用天真的贝斯算法分析数据,并根据作物环境条件做出决定。分析结果对圆周率微型计算机的智能温室使用天真贝叶斯算法可以用于预测环境变量,如温度和湿度,根据获得的数据总量数据集是500行用4个变量对温度有价值评估与MSE(0.25)和RMSE(0 - 50),空气湿度MSE(0。07)和RMSE第27 (0 - 9)带有MSE(0.00)、RMSE(0.00)和RMSE(0.94)和RMSE(0.97)的紫外线。& # x0D;智能温室是一种利用互联网技术自动控制和监测植物生长环境的系统。在智能温室(Smart Greenhouse)对树莓微计算机性能的分析中,采用天真的贝斯算法分析数据,并根据作物环境条件做出决定。分析结果对圆周率微型计算机的智能温室使用天真贝叶斯算法可以用于预测环境变量,如温度和湿度,根据获得的数据总量数据集是500行用4个变量对温度有价值评估与MSE(0.25)和RMSE(0 - 50),空气湿度MSE(0。07)和RMSE第27 (0 - 9)带有MSE(0.00)、RMSE(0.00)和RMSE(0.94)和RMSE(0.97)的紫外线。
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 Smart Greenhouse adalah sistem yang menggunakan teknologi Internet of Things (IoT) untuk mengontrol dan memantau lingkungan pertumbuhan tanaman secara otomatis. Dalam melakukan analisis kinerja mikrokomputer Raspberry Pi dalam Smart Greenhouse berbasis IoT, dengan menerapkan algoritma Naive Bayes untuk menganalisis data dan membuat keputusan berdasarkan kondisi lingkungan tanaman. Hasil analisis terhadap mikrokomputer Raspberry Pi pada Smart Greenhouse menggunakan algoritma Naive Bayes dapat digunakan untuk memprediksi variabel lingkungan, seperti suhu dan kelembapan, sesuai data yang diperoleh dengan total data set adalah 500 baris menggunakan 4 variabel dengan mempunyai nilai evaluasi terhadap suhu udara dengan MSE (0.25) dan RMSE (0.50), kelembapan udara dengan MSE (0.07) dan RMSE (0.27), kelembapan tanah dengan MSE (0.00) dan RMSE (0.00) dan UV dengan nilai MSE (0.94) dan RMSE(0.97)
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引用次数: 0
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN GURU BERPRESTASI MENGGUNAKAN METODE TOPSIS (STUDI KASUS: DINAS PPO KAB. TTU) 高级教师使用TOPSIS方法(案例研究:PPO KAB服务)的决策系统。这)
Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-09-17 DOI: 10.32938/jitu.v3i2.4083
Jeri Aurelianus Sede, Yoseph P.K Kelen, Darsono Nababan
This study aims to assist human work in knowing the decision support system for determining outstanding teachers using the topsis method using the Multi Attribute Decision Making (MADM) decision making method which is used to evaluate or select several alternatives as a decision support system using one method, namely the The trick for order preference by similarity to ideal solution (TOPSIS). This method is widely used to solve practical decision-making. This is because the concept is simple and easy to understand, computation is efficient, and has the ability to measure the relative performance of decision alternatives. There are 5 criteria used in determining outstanding teachers, namely pedagogic, personality, professional, social and innovation. From the results of calculations using the cicue for order preference by similarity to ideal solution (TOPSIS) method, the teacher who was selected as an outstanding teacher was Elisabeth Abi S.PD SD with a score of 0.825. Thecnicue for order preference by similarity to ideal solution (TOPSIS) method makes it easy to determine outstanding teachers at the youth and sports education office at TTU, this is web-based and uses the PHP programming language.
本研究旨在协助人类工作了解使用topsis方法确定优秀教师的决策支持系统,使用多属性决策(MADM)决策方法,该决策方法用于使用一种方法评估或选择多个备选方案作为决策支持系统,即topsis (order preference by similarity to ideal solution)。该方法被广泛用于解决实际决策问题。这是因为它的概念简单易懂,计算效率高,并且能够衡量决策备选方案的相对性能。优秀教师有5个标准,分别是教学、个性、专业、社会和创新。从TOPSIS法排序偏好曲线计算结果来看,入选优秀教师为Elisabeth Abi S.PD SD,得分为0.825。TOPSIS (order preference by similarity to ideal solution)方法使得TTU青年与体育教育办公室的优秀教师的评选变得容易,该方法是基于web的,使用PHP编程语言。
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引用次数: 0
Analisis Kepuasan Pengguna Terhadap Penerapan Sistem Informasi Terpadu Layanan Prodi (SIPLO) Menggunakan End User Computing Satisfaction (EUCS) 利用最终用户计算满意度(EUCS)分析用户对实施普罗迪服务综合信息系统(SIPLO)的满意度
Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-09-17 DOI: 10.32938/jitu.v3i2.4128
Vina Zahrotun Kamila
SIPLO is information system created and developed in order to manage academic activity scheduling data so that it can make it easier for users in intranet and internet campus academic activities. This study aims to determine the level of satisfaction of the Sistem Informasi Terpadu Program Studi (SIPLO) using the End User Computing Satisfaction (EUCS) model which includes 5 variables, namely content, accuracy, format, easy of use and timeliness. The results of the study showed that the satisfaction level of SIPLO users was 24% very satisfied, 52% satisfied, 21% quite satisfied, 2% dissatisfied and 1% very dissatisfied. The results of the hypothesis test showed that 5 variables had an effect on satisfaction and the hypothesis was accepted while the other 2 variables had no effect on satisfaction and the hypothesis was rejected.
SIPLO是为了方便用户在intranet和internet上开展校园学术活动而创建和开发的信息系统。本研究旨在使用终端用户计算满意度(EUCS)模型来确定系统信息Terpadu计划研究(SIPLO)的满意度水平,该模型包括5个变量,即内容,准确性,格式,易用性和及时性。研究结果表明,SIPLO用户满意度为非常满意24%,满意52%,相当满意21%,不满意2%,非常不满意1%。假设检验结果显示,有5个变量对满意度有影响,假设被接受;另外2个变量对满意度没有影响,假设被拒绝。
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引用次数: 0
SISTEM INFORMASI PARIWISATA DAERAH KABUPATEN MALAKA BERBASIS WEB 基于WEB的马拉卡地区旅游信息系统
Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-09-16 DOI: 10.32938/jitu.v3i2.5122
Yanuarius Nahak
Penelitian ini berfokus pada pengembangan Sistem Informasi Pariwisata daerah Kabupaten Malaka berbasis website. Kabupaten Malaka memiliki potensi pariwisata yang menarik, seperti Pantai Abudenok, Motadikin, Lao'odik, dan Pos Lintas Batas Negara (PLBM) Motamasin. Namun, informasi mengenai tempat-tempat pariwisata ini belum terpublikasi dengan baik karena beberapa lokasi berada di daerah pelosok. Tujuan penelitian ini adalah merancang dan membuat sistem informasi pariwisata berbasis web untuk Kabupaten Malaka, serta menguji kualitas sistem yang telah dibuat. Dengan sistem informasi ini, diharapkan dapat meningkatkan promosi dan pengelolaan objek-objek wisata di Kabupaten Malaka. Penelitian ini menggunakan metode penelitian terapan dengan tahapan pengumpulan data, identifikasi masalah, perancangan sistem, pengujian, implementasi, dan pemeliharaan. Analisis kebutuhan sistem dilakukan melalui observasi, wawancara, dan studi pustaka. Sistem ini memiliki fitur seperti tampilan informasi wisata, laporan data wisata, posting informasi, review data, dan fitur login untuk admin. Implementasi dilakukan dengan membuat antarmuka pengguna (UI) sesuai dengan perancangan yang telah dibuat. Pengujian sistem dilakukan melalui uji coba dengan pengguna admin dan pengguna biasa (user). Hasil pengujian menunjukkan bahwa sistem berhasil memenuhi fungsionalitas yang diharapkan, seperti pengelolaan data wisata, posting informasi, dan review data.man Judul
该研究的重点是建立一个基于Malaka地区旅游信息系统。马拉卡地区有吸引人的旅游潜力,如阿弥陀佛海岸、莫塔迪肯、拉奥迪克和莫亚木信跨境中心。然而,由于偏远地区的一些地点,有关这些旅游景点的信息尚未得到很好的公布。该研究的目的是为马拉卡地区设计和建立一个基于web的旅游信息系统,并测试其创建的系统的质量。有了这个信息系统,预计将增加马拉卡地区旅游对象的推广和管理。本研究采用了一种应用研究方法,具有数据收集、问题识别、系统设计、测试、实现和维护的各个阶段。系统需求分析是通过对库的观察、采访和研究来进行的。该系统具有旅游信息显示、旅游数据报告、信息发布、数据审查和管理员的登录功能。实现是通过使用户界面(UI)适应所创建的设计。系统测试是通过普通用户(用户)进行的试验进行的。测试结果表明,该系统成功地实现了旅游数据管理、信息发布和数据审查等预期功能。标题伙计
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引用次数: 0
Analisis Tingkat Kepuasan Mahasiswa Terhadap Perkuliahan Daring Di Era Covid 19 Menggunakan K-Means Clustering 在Covid 19时代,学生对在线大学满意度的分析使用了k
Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-09-16 DOI: 10.32938/jitu.v3i2.5130
Theresia Avila Babu, Darsono Nababan
Penyakit Covid 19 atau yang sering disebut dengan Virus Corona saat ini sedang menjadi perhatian dunia salah satunya di Indonesia. Dampak dari covid 19 di Indonesia merambat ke berbagai sektor terutama sektor pendidikan yang mengakibatkan perubahan besar dalam proses pembelajaran. Tingkat keefektifan serta tingkat kepuasan siswa terhadap proses pembelajaran sangat dipengaruhi oleh pembelajaran yang dilaksanakan secara daring, yang berdampak tidak hanya pada perubahan perilaku siswa tetapi juga pada cara mengajar. Sehingga terdapat ketidakpuasan serta tanggapan yang berbeda dalam proses belajar mengajar dari mahasiswa/i dikarenakan jaringan yang sering terganggu dan terbatasnya kouta internet. Tujuan dari penelitian ini yaitu mengukur tingkat kepuasaan mahasiswa/i terhadap proses belajar mengajar yang dilakukan secara daring, dengan menggunakan metode K-Means clustering berdasarkan perspektif mahasiswa/i. Penelitian ini melibatkan 1406 responden dari hasil pembagian kuisoner melalui google form, kemudian data yang diperoleh akan dianalisis menggunakan software phyton untuk membantu dalam proses analisis. Hasil penelitian ini menunjukan bahwa data yang diperoleh dari empat kategori tingkat kepuasan mahasiswa/i yaitu cluster 1 kategorinya baik persentase 39,5 %, cluster 2 kategorinya kurang baik persentase 16,1 %, cluster 3 kategorinya sangat baik persentase 15,9 %, dan cluster 4 kategorinya cukup baik persentase 28,4 %.
科维德19型或常被称为科罗娜病毒的疾病目前正受到全世界关注,其中一种是印度尼西亚。印尼科维德19号的影响蔓延到各个领域,特别是教育领域,导致学习过程的巨大变化。学生在学习过程中的效率和满意度与在线进行的学习有着深远的影响,不仅影响了学生行为的改变,也影响了教学方式。不同的反应,有不满和学生-我教学过程中由于经常受干扰的网络和互联网kouta有限。这项研究的目的是测量满足学生-我在网上做的教学过程,用K-Means方法根据聚类学生-我的观点。这项研究涉及了谷歌通过问卷形式分配结果的-是的受访者会用软件分析获得的数据,然后把蟒蛇协助分析过程。本研究的结果表明,从四类学生满意度1类别中获得的数据分别是39.5 %,2类别集分别为16.1 %,3类别集分别为15.9 %,四类别集分别为28%。
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引用次数: 0
Observations from three years of online pandemic learning response on OpenWHO OpenWHO三年疫情在线学习应对观察
IF 3 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-09-05 DOI: 10.1108/ijilt-12-2022-0220
H. Utunen, Ranil Appuhamy, M. Attias, N. Ndiaye, R. George, E. Arabi, A. Tokar
PurposeOpenWHO is the World Health Organization's online learning platform that was launched in 2017. The COVID-19 pandemic led to massive growth in the number of courses, enrolments and reach of the platform. The platform is built on a stable and scalable basis that can host a large volume of learners. The authors aim to identify key factors that led to this growth.Design/methodology/approachIn this research paper, the authors examined OpenWHO metadata, end-of-course surveys and internal processes using a quantitative approach.FindingsOpenWHO metadata showed that the platform has hosted over 190 health courses in 65 languages and over seven million course enrolments. Since the onset of the pandemic, there have been more women, older people and people from middle income countries accessing courses than before. Following data analysis of the platform metadata and course production process, it was found that several key factors contributed to the growth of the platform. First, OpenWHO has a standardised course production pathway that ensures efficiency, consistency and quality. Further, providing courses in different languages increased its reach to a variety of populations throughout the world. For this, multi-language translation is achieved through a network of translators and an automated system to ensure the efficient translation of learning products. Lastly, it was found that access was promoted for learners with disabilities by optimising accessibility in course production. Data analysis of learner feedback surveys for selected courses showed that the courses were well received in that learners found it useful to complete courses that were self-paced and flexible. In addition, results indicated that preferred learning methods included videos, downloadable documents, slides, quizzes and learning exercises.Originality/valueLessons learnt from the WHO's learning response will help prepare researchers for the next health emergency to ensure timely, equitable access to quality health knowledge for everyone. Findings of this study will provide valuable insights for educators, policymakers and researchers in the field who intend to use online learning to optimise knowledge acquisition and performance.
目的OpenWHO是世界卫生组织于2017年推出的在线学习平台。新冠肺炎疫情导致该平台的课程数量、注册人数和覆盖范围大幅增长。该平台建立在稳定和可扩展的基础上,可以容纳大量学习者。作者的目的是确定导致这种增长的关键因素。设计/方法论/方法在这篇研究论文中,作者使用定量方法检查了OpenWHO元数据、课程结束调查和内部流程。FindingsOpenWHO元数据显示,该平台已举办了超过190门65种语言的健康课程,注册人数超过700万。自疫情爆发以来,参加课程的妇女、老年人和中等收入国家的人比以前更多。通过对平台元数据和课程制作过程的数据分析,发现几个关键因素有助于平台的发展。首先,OpenWHO有一个标准化的课程制作途径,确保效率、一致性和质量。此外,提供不同语言的课程增加了其对世界各地不同人群的影响。为此,通过翻译人员网络和自动化系统实现多语言翻译,以确保学习产品的高效翻译。最后,研究发现,通过优化课程制作中的无障碍性,促进了残疾学习者的无障碍学习。对选定课程的学习者反馈调查的数据分析表明,这些课程受到了好评,因为学习者发现完成自定进度和灵活的课程是有用的。此外,研究结果表明,首选的学习方法包括视频、可下载的文档、幻灯片、测验和学习练习。原创/价值从世界卫生组织的学习反应中吸取的经验教训将有助于研究人员为下一次卫生紧急情况做好准备,以确保每个人都能及时、公平地获得高质量的卫生知识。这项研究的发现将为该领域的教育工作者、政策制定者和研究人员提供有价值的见解,他们打算利用在线学习来优化知识获取和表现。
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引用次数: 0
To continue or not to continue? Examining the antecedents of MOOCs continuance intention through the lens of the stimulus-organism-response model 继续还是不继续?从刺激-机体反应模型的视角考察MOOC持续意向的前因
IF 3 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-09-01 DOI: 10.1108/ijilt-08-2022-0171
Yung-Ming Cheng
PurposeThe purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to test whether network externality, gamification and media richness as environmental feature antecedents to learners' learning engagement (LE) can affect their continuance intention of massive open online courses (MOOCs).Design/methodology/approachSample data for this study were collected from learners who had experience in taking the gamified MOOCs provided by the MOOC platform launched by a well-known university in Taiwan, and 315 usable questionnaires were analyzed using structural equation modeling in this study.FindingsThis study verified that learners' perceived network externality, gamification and media richness in MOOCs positively influenced their behavioral LE, emotional LE and social LE elicited by MOOCs, which collectively caused their continuance intention of MOOCs. The results support all proposed hypotheses, and the research model accounts for 75.6% of the variance in learners' continuance intention of MOOCs.Originality/valueThis study uses the S-O-R model as a theoretical groundwork to construct learners' continuance intention of MOOCs as a series of the internal process, which is influenced by network externality, gamification and media richness. Noteworthily, three psychological constructs, behavioral LE, emotional LE and social LE, are employed to represent learners' organisms of MOOCs usage. To date, the concepts of network externality, gamification and media richness are rarely together adopted as environmental stimuli, and psychological constructs as organisms have received lesser attention in prior MOOCs studies using the S-O-R model. Hence, this study's contribution on the application of capturing psychological constructs for completely expounding three types of environmental features as antecedents to learners' continuance intention of MOOCs is well documented.
目的本研究旨在提出一个基于刺激-有机体反应(S-O-R)模型的研究模型,以检验网络外部性、游戏化和媒体丰富度作为学习者学习参与度(LE)的环境特征前因是否会影响他们对大规模开放在线课程(MOOC)的持续意向。设计/方法/方法本研究的样本数据收集自台湾一所知名大学推出的MOOC平台提供的游戏化MOOC的学习者,并使用结构方程模型分析了315份可用的问卷。研究结果表明,学习者在慕课中感知到的网络外部性、游戏化和媒体丰富性对其行为LE、情绪LE和社交LE产生了积极影响,这共同导致了他们对慕课的持续意向。研究结果支持了所有提出的假设,研究模型占学习者MOOC持续意向方差的75.6%。原创性/价值本研究以S-O-R模型为理论基础,将学习者的MOOC持续意向构建为一系列内部过程,受到网络外部性、游戏化和媒体丰富性的影响。值得注意的是,三种心理结构,行为LE、情感LE和社会LE,被用来代表学习者对慕课使用的有机体。到目前为止,网络外部性、游戏化和媒体丰富性的概念很少被一起用作环境刺激,而在之前使用S-O-R模型的MOOC研究中,作为有机体的心理结构受到的关注较少。因此,本研究在捕捉心理结构以完整阐述三种类型的环境特征作为学习者MOOC持续意向的前因方面的贡献是有据可查的。
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引用次数: 0
Signals and noise: communicating achievement through alternative credentials 信号与噪音:通过替代证书传达成就
IF 3 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-08-15 DOI: 10.1108/ijilt-02-2023-0020
Martin Bean, Sheryl Grant, Glenn Hardaker, Rupert R. Ward
PurposeAlternative credentials are rapidly evolving. The purpose of this paper is to explore the challenges and opportunities arising from this evolution with particular reference to their role in education and employment.Design/methodology/approachThe paper explores the credential initiatives with a unique perspective from introducing alternative credential initiatives that have been influential in recent national policy developments. The paper is led by the experiences of the former General Manager of Microsoft's Education Products Group, former Vice-Chancellor of The Open University and the Royal Melbourne Institute of Technology University. His experiences and lessons learnt reflecting on alternative credential development during the last 30 years provides a unique insight in seeing the “signals” and moving beyond the “noise” of micro-credentials for successful integration into educational institutions.FindingsA number of key findings are identified in terms of current development challenges that impact on alternative credential use and identifying further developments. Relevant examples and references are provided throughout, with a particular focus on North America, Europe and Australasia where the most progress has been made in alternative credentials.Research limitations/implicationsImplications for those wishing to develop badging and microcredentialing solutions, especially in higher education, are identified for all seeking to maximise the success of alternative credential systems.Originality/valueMartin Bean has a unique perspective having explored credential initiatives whilst General Manager of Microsoft's Education Products Group and whilst Vice-Chancellor of The Open University and the Royal Melbourne Institute of Technology University. Martin Bean has also been influential in recent national policy developments in Australia. Martin Bean’s experiences and lessons learnt witnessing alternative credential development during the last 30 years across three continents, and within both public and private sectors, are summarised here to provide context for discussions of some of the key global concepts and related work.
替代证书正在迅速发展。本文的目的是探讨这种演变所带来的挑战和机遇,特别是它们在教育和就业方面的作用。设计/方法/方法本文以独特的视角探讨了在最近的国家政策发展中具有影响力的替代证书倡议。本文以微软教育产品集团前总经理、英国开放大学前副校长、皇家墨尔本理工大学前副校长的经验为主导。他在过去30年中反思替代性证书发展的经验和教训,提供了一个独特的见解,可以看到“信号”,并超越微型证书的“噪音”,成功融入教育机构。就影响替代证书使用的当前发展挑战和确定进一步发展而言,确定了一些关键发现。全书提供了相关的例子和参考资料,特别侧重于在替代证书方面取得最大进展的北美、欧洲和澳大拉西亚。研究的限制/影响那些希望开发徽章和微型证书解决方案的人,特别是在高等教育中,为所有寻求最大限度地提高替代证书制度成功的人确定了影响。创意/价值martin Bean在微软教育产品集团总经理、开放大学和皇家墨尔本理工大学副校长期间,对证书计划有着独特的见解。马丁·比恩对澳大利亚最近的国家政策发展也有影响。在过去的30年里,马丁·比恩在三大洲的公共和私营部门见证了替代性证书的发展,总结了他的经验和教训,为讨论一些关键的全球概念和相关工作提供了背景。
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International Journal of Information and Learning Technology
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