scholarly journals Toward Training and Assessing Reproducible Data Analysis in Data Science Education

2019 ◽  
Vol 1 (4) ◽  
pp. 381-392 ◽  
Author(s):  
Bei Yu ◽  
Xiao Hu
Keyword(s):  
Public Policy ◽  
Science Education ◽  
Data Analysis ◽  
Action Research ◽  
Data Science ◽  
Research Data ◽  
Reproducible Research ◽  
Science Students ◽  
Student Training ◽  
Peer Reports

Reproducibility is a cornerstone of scientific research. Data science is not an exception. In recent years scientists were concerned about a large number of irreproducible studies. Such reproducibility crisis in science could severely undermine public trust in science and science-based public policy. Recent efforts to promote reproducible research mainly focused on matured scientists and much less on student training. In this study, we conducted action research on students in data science to evaluate to what extent students are ready for communicating reproducible data analysis. The results show that although two-thirds of the students claimed they were able to reproduce results in peer reports, only one-third of reports provided all necessary information for replication. The actual replication results also include conflicting claims; some lacked comparisons of original and replication results, indicating that some students did not share a consistent understanding of what reproducibility means and how to report replication results. The findings suggest that more training is needed to help data science students communicating reproducible data analysis.

The importance and emergence of K-12 data science

2021 ◽  
Vol 103 (1) ◽  
pp. 49-53
Author(s):  
Tanya LaMar ◽  
Jo Boaler
Keyword(s):  
Science Education ◽  
Data Analysis ◽  
Vaccine Efficacy ◽  
Data Science ◽  
Mathematics Curriculum ◽  
Science Students ◽  
Data Literacy ◽  
Global Pandemic ◽  
K 12

The COVID-19 global pandemic has required everyone to make sense of data about community spread, levels of risk, and vaccine efficacy. Yet research shows that students are underprepared in data literacy. Tanya LaMar and Jo Boaler argue that data science education provides an opportunity to address this problem while providing much needed updates to the current mathematics curriculum. The integration of data science can provide a more equitable mathematics pipeline than the calculus-focused pathway that has excluded most students from a future in mathematics. Through data science, students can learn to answer questions that are relevant to their lives and communities, to be critical consumers of the data that surround them every day, and to wield the power of data analysis.

scholarly journals Studi Desktiptif: Persepsi Mahasiswa Ilmu Forensik terhadap Konsep Cyberstalking

PERSPEKTIF ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 219-227
Author(s):  
Ainun Jaryah Bahrir
Keyword(s):  
Data Analysis ◽  
Forensic Science ◽  
Research Method ◽  
Electronic Mail ◽  
Descriptive Analysis ◽  
Research Data ◽  
Science Students ◽  
Purposive Sampling ◽  
Analysis Technique ◽  
Computer Based

Cyberstalking is behavior that leads to repeated invasion of one's privacy by electronic mail or computer-based communication with a view to controlling, coercing, intimidating, harassing, or threatening. The purpose of this study is to describe the understanding of forensic science students about the concept of cyberstalking; the object criteria of this study are forensic science students who are still active and have taken cybercrime courses. This research method uses descriptive quantitative. Subjects in this study were obtained through purposive sampling with a total of 36 students. The technique of collecting research data is by distributing closed questionnaires. Research data analysis technique is a descriptive analysis technique, describing data obtained using tables and graphs. The results of this study indicate that forensic science students already have the correct perception of cyberstalking. The majority of students can distinguish statements with indications of cyberstalking and not cyberstalking.

scholarly journals PENINGKATAN KEMAMPUAN BERBAHASA ANAK USIA 5-6 TAHUN MELALUI PERMAINAN MEDIA KARTU HURUF BERGAMBAR DI TK PELANGI TENGGARONG SEBERANG TAHUN PEMBELAJARAN 2016-2017

2019 ◽  
Vol 4 (1) ◽  
pp. 39-51
Author(s):  
Tatik - Rahayu ◽  
Mahkamah - Brantasari
Keyword(s):  
Data Analysis ◽  
Action Research ◽  
Data Collection ◽  
Research Method ◽  
Language Skills ◽  
Research Data ◽  
Class Action ◽  
Quantitative Descriptive

This study aims to find out how to improve the language skills of children aged 5-6 years through playing illustrated letter card media at Pelangi Tenggarong Seberang Kindergarten in the 2016/2017 learning year. This type of research uses the class action research method (CAR) carried out in two cycles. The object of this research is 20 children. Research data collection uses observation sheets while the results are analyzed using quantitative descriptive methods. The results of data analysis showed that there was an increase in pre-cycle to the first cycle of 35%. In the second cycle increased 91.11%. The conclusion in this study, that the use of pictorial letter card media can improve language skills in children aged 5-6 years in Pelangi Kindergarten.

scholarly journals Reproducibility Librarianship

2017 ◽  
Author(s):  
Vicky Steeves
Keyword(s):  
New York ◽  
Data Management ◽  
Data Science ◽  
Research Data ◽  
Reproducible Research ◽  
New York University ◽  
Research Data Management ◽  
Digital Scholarship ◽  
The Many

This is a self-archived version of an article published in Collaborative Librarianship. The content of this article is not different from what is in the journal (found here: http://digitalcommons.du.edu/collaborativelibrarianship/vol9/iss2/4)Recommended CitationSteeves, Vicky (2017) "Reproducibility Librarianship," Collaborative Librarianship: Vol. 9 : Iss. 2 , Article 4. Available at: https://digitalcommons.du.edu/collaborativelibrarianship/vol9/iss2/4Over the past few years, research reproducibility has been increasingly highlighted as a multifaceted challenge across many disciplines. There are socio-cultural obstacles as well as a constantly changing technical landscape that make replicating and reproducing research extremely difficult. Researchers face challenges in reproducing research across different operating systems and different versions of software, to name just a few of the many technical barriers. The prioritization of citation counts and journal prestige has undermined incentives to make research reproducible.While libraries have been building support around research data management and digital scholarship, reproducibility is an emerging area that has yet to be systematically addressed. To respond to this, New York University (NYU) created the position of Librarian for Research Data Management and Reproducibility (RDM & R), a dual appointment between the Center for Data Science (CDS) and the Division of Libraries. This report will outline the role of the RDM & R librarian, paying close attention to the collaboration between the CDS and Libraries to bring reproducible research practices into the norm.

scholarly journals The democratization of data science education

2017 ◽  
Author(s):  
Sean Kross ◽  
Roger D Peng ◽  
Brian S Caffo ◽  
Ira Gooding ◽  
Jeffrey T Leek
Keyword(s):  
Machine Learning ◽  
Science Education ◽  
Data Analysis ◽  
Data Science ◽  
Online Data ◽  
The Past ◽  
The Us ◽  
Science Curricula ◽  
The Impact ◽  
And Training

Over the last three decades data has become ubiquitous and cheap. This transition has accelerated over the last five years and training in statistics, machine learning, and data analysis have struggled to keep up. In April 2014 we launched a program of nine courses, the Johns Hopkins Data Science Specialization, which has now had more than 4 million enrollments over the past three years. Here the program is described and compared to both standard and more recently developed data science curricula. We show that novel pedagogical and administrative decisions introduced in our program are now standard in online data science programs. The impact of the Data Science Specialization on data science education in the US is also discussed. Finally we conclude with some thoughts about the future of data science education in a data democratized world.

scholarly journals Internalisasi Nilai Anti Korupsi dengan Model Nampe Guna Meningkatkan Perilaku Anti Korupsi Mahasiswa Program Studi Teknik Informatika Universitas PGRI Madiun

2021 ◽  
Vol 15 (1) ◽  
pp. 104-115
Author(s):  
Muhammad Hanif
Keyword(s):  
Data Analysis ◽  
Action Research ◽  
Affective Domain ◽  
Research Data ◽  
Descriptive Statistics ◽  
Cognitive Domain ◽  
Average Score ◽  
Study Program ◽  
Average Value ◽  
Engineering Study

The purpose of this study is to improve the anti-corruption behavior of students of the Informatics Engineering Study Program at the Universitas PGRI Madiun through the internalization of anti-corruption values ??with the Nampe Model. The research was Classroom Action Research. Data were collected qualitatively by using observation, tests, and non-tests, while the data analysis used descriptive statistics. Based on the research carried out for two cycles, it was found that the anti-corruption behavior of students increased after internalizing the anti-corruption values ??with the Nampe Model. This increase is shown by the assessment of anti-corruption behavior in pre-cycle at 30.4%, increased to 62.2% in cycle 1 and at 78.2% in cycle 2. The average value of all domains also increases, such as; (a) affective domain in pre-cycle at 59.1, cycle 1 at 65.5, and cycle 2 at 75.5 (b) cognitive domain in pre-cycle at 78.9, cycle 1 at 82.4, cycle 2 at 85, 4, (c) psychomotor domain in pre-cycle at 62.44, cycle 1 at 66, cycle 2 at 75.6. The increase in anti-corruption behavior is also shown by the average score of the anti-corruption component in pre-cycle at 62.4, cycle 1 at 66.4, and cycle 2 at 77.1.

scholarly journals PENINGKATAN KEMAMPUAN MATEMATIKA DASAR MELALUI MUSIC AND MOVEMENT

2019 ◽  
Vol 7 (2) ◽  
pp. 144
Author(s):  
Amna N Noho
Keyword(s):  
Data Analysis ◽  
Action Research ◽  
Data Reduction ◽  
Quantitative Data ◽  
Qualitative Data ◽  
Initial Conditions ◽  
Research Data ◽  
General Intelligence ◽  
Qualitative And Quantitative ◽  
Quantitative Data Analysis

The purpose of this study was to determine whether the basic math skill students 5-6 years old can be improved through music and movement. This research was conducted at TKIT Ibnu Sina Duren Sawit, East Jakarta Timur, with as many as 27 students study subjects. The study was conducted in two cycles and accompanied by 2 teachers who act as observers, method action research. Data collected through observation and interviews as well as qualitative and quantitative data analysis. Qualitative data were analyzed by comparing the students’ grades in cycle 1 and cycle 2 while the qualitative data was analized by data reduction, display data, and conclusion. The results showed an increase in students’ basic math skill through music and movement. In cycle 2 the development of the mathematical aspects of general intelligence has increased 23% from the initial conditions before the study, in wich each indicator increased by 52% compared to the time of observation. Based on data analysis, it can be concluded that the students’ basic math skill can be improved through music and movement. It is thus suggested to kindergarten teachers to use music and movement in order to improve the learning basic math skill of students. Tujuan penelitian ini adalah mengetahui apakah kemampuan dasar matematika siswa usia 5-6 tahun dapat ditingkatkan melalui kegiatan music and movement . Penelitian ini dilakukan di TKIT Ibnu Sina Duren Sawit, Jakarta Timur, dengan sebanyak 27 siswa subjek penelitian. Penelitian dilakukan dalam dua siklus dan didampingi oleh 2 orang guru yang bertindak sebagai pengamat, metode penelitian tindakan. Data dikumpulkan melalui observasi dan wawancara serta analisis data kualitatif dan kuantitatif. Data kuantitatif dianalisis dengan membandingkan nilai siswa dalam siklus 1 dan siklus 2 sedangkan data kualitatif dianalisis dengan reduksi data, data tampilan, dan kesimpulan. Hasilanya menunjukkan peningkatan kemampuan matematika dasar siswa melalui kegiatan music and movement . Pada siklus 2 perkembangan aspek matematika dasar telah meningkat 23% dari kondisi awal sebelum penelitian, yang mana setiap indikator meningkat sebesar 52% dibandingkan dengan waktu pengamatan. Berdasarkan analisis data, dapat disimpulkan bahwa kemampuan matematika dasar siswa dapat ditingkatkan melalui kegiatan music and movement. dengan demikian disarankan kepada guru TK untuk menggunakan music and movement dalam rangka meningkatkan kemampuan matematika dasar siswa.

scholarly journals PEMANFAATAN MODEL SAEPADU UNTUK MENINGKATKAN MOTIVASI DAN HASIL BELAJAR IPA BAGI PESERTA DIDIK KELAS VIII E SMP NEGERI 2 BOJONGSARI SEMESTER 2 TAHUN PELAJARAN 2019/2020

2021 ◽  
Vol 1 (3) ◽  
pp. 228-237
Author(s):  
NOKMAN RIYANTO
Keyword(s):  
Data Analysis ◽  
Action Research ◽  
Learning Outcomes ◽  
Learning Process ◽  
Science Learning ◽  
Research Data ◽  
Learning Motivation ◽  
Model Based ◽  
Class Viii ◽  
Motivation And Learning

  This research is an effort to increase motivation and science learning outcomes by utilizing the Saepadu model in class VIII E students of SMP Negeri 2 Bojongsari, Purbalingga Regency. The purpose of this study was to determine the extent of the learning process by utilizing the Saepadu model in class VIII E to increase motivation and science learning outcomes. This research is a classroom action research (CAR). The steps in this action research include planning, implementation, observation, and reflection. Collecting research data using test and non-test instruments and questionnaires. The questionnaire is used for rational data which will later be validated with rational data analysis. The implementation of this research is based on the learning syntax of the Saepadu model. Based on the research data, the results show that using the Saepadu model can increase students' learning motivation, which is 0.22 points or about 6.49% from pre-cycle to cycle I and in cycle I to Cycle II there is also an increase of 0.41 points or 11.36%. By using learning with the SAEPADU model, it can also improve pre-cycle science learning outcomes compared to the first cycle, namely 28.5 or 76.62% with the number of students who passed the KKM increased by 43.34%. Meanwhile, the average written score for science in the first cycle compared to the second cycle was 9.5 by 14.18%. In conclusion, there was an increase in students' motivation and learning outcomes by utilizing the Saepadu model. ABSTRAKPenelitian ini merupakan upaya dalam meningkatkan motivasi dan hasil belajar IPA dengan memanfaatkan model Saepadu pada peserta didik kelas VIII E SMP Negeri 2 Bojongsari Kabupaten Purbalingga. Tujuan dari penelitian ini adalah mengetahui sejauh mana proses pembelajaran dengan memanfaatkan model Saepadu di kelas VIII E untuk meningkatkan motivasi dan hasil belajar IPA. Adapun penelitian ini merupakan penelitian tindakan kelas (PTK). Langkah-langkah dalam penelitian tindakan ini meliputi perencanaan, pelaksanaan, observasi, dan refleksi. Pengumpulan data penelitian menggunakan instrumen tes dan non tes serta kuesioner. Kuesiner tersebut digunakan untuk data rasional yang nantinya divalidasi datanya dengan analisis data rasional. Pelaksanaan penelitian ini berdasarkan sintaks pembelajaran model saepadu. Berdasarkan dari data penelitian menunjukkan hasil bahwa dengan pemanfaatan model saepadu dapat meningkatkan motivasi belajar peserta didik, yaitu sebesar 0,22 poin atau sekitar 6,49% dari pra siklus hingga siklus I dan pada siklus I ke di Siklus II juga terjadi peningkatan 0,41 poin atau 11,36%. Dengan menggunakan pembelajaran dengan model SAEPADU ini juga dapat meningkatkan hasil belajar IPA pra siklus dibandingkan pada siklus I yaitu 28,5 atau sebesar 76,62% dengan jumlah peserta didik yang lulus KKM mengalami peningkatan sebesar 43,34%. Sedangkan untuk hasil rata-rata nilai ter tertulis IPA siklus I dibandingkan pada siklus II yaitu 9,5 sebesar 14,18%.. Kesimpulannya terjadi peningkatan motivasi dan hasil belajar peserta didik dengan memanfaatkan model Saepadu.

scholarly journals The democratization of data science education

2017 ◽  
Author(s):  
Sean Kross ◽  
Roger D Peng ◽  
Brian S Caffo ◽  
Ira Gooding ◽  
Jeffrey T Leek
Keyword(s):  
Machine Learning ◽  
Science Education ◽  
Data Analysis ◽  
Data Science ◽  
Online Data ◽  
The Past ◽  
The Us ◽  
Science Curricula ◽  
The Impact ◽  
And Training

Over the last three decades data has become ubiquitous and cheap. This transition has accelerated over the last five years and training in statistics, machine learning, and data analysis have struggled to keep up. In April 2014 we launched a program of nine courses, the Johns Hopkins Data Science Specialization, which has now had more than 4 million enrollments over the past three years. Here the program is described and compared to both standard and more recently developed data science curricula. We show that novel pedagogical and administrative decisions introduced in our program are now standard in online data science programs. The impact of the Data Science Specialization on data science education in the US is also discussed. Finally we conclude with some thoughts about the future of data science education in a data democratized world.

scholarly journals UPAYA MENGEMBANGKAN KREATIVITAS ANAK MELALUI KEGIATAN BERMAIN KONSTRUKTIF DENGAN MENGGUNAKAN MEDIA BALOK DI TK ALIFEA SAMARINDA

2018 ◽  
Vol 3 (1) ◽  
pp. 11-19
Author(s):  
Andi - Aslindah
Keyword(s):  
Data Analysis ◽  
Action Research ◽  
Problem Solving ◽  
Research Data ◽  
Creativity Development ◽  
Group A ◽  
Classroom Action Research ◽  
Physical Objects ◽  
Academic Year ◽  
Constructive Play

This study aims to determine the development of children's creativity through constructive play activities using media blocks. Constructive play is a form of game by using physical objects to build or create things. This game occurs when children engage in a creation or construction of a product or a problem solving of their own creation. This research is a Classroom Action Research (PTK) or Classroom Action Research. This study was conducted in two cycles. Subjects in this study were group A semester II of Kindergarten Alifea academic year 2016/2017, as many as 13 children (5 women and 8 men) with the aspect that is assessed that is participation, attention, independence, creativity and ability to tell. Data creativity of children in constructive play with media beam collected by using the method of observation with the instrument in the form of observation format sheet. Research data were obtained and analyzed qualitatively. Based on the results of data analysis obtained is on the first cycle of 46.1%, Cycle II obtained data of 81.5% So there is an increase in creativity development from cycle I to cycle II of 35.4%

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