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Lasser, Jana; Manik, Debsankha; Silbersdorff, Alexander; Säfken, Benjamin; Kneib, Thomas – Teaching Statistics: An International Journal for Teachers, 2021
Data and its applications are increasingly ubiquitous in the rapidly digitizing world and consequently, students across different disciplines face increasing demand to develop skills to answer both academia's and businesses' increasing need to collect, manage, evaluate, apply and extract knowledge from data and critically reflect upon the derived…
Descriptors: Introductory Courses, Data, Interdisciplinary Approach, Programming Languages
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Kwon, Kyungbin; Lee, Kyungbin; Chung, Jaehwa – International Journal of Computer Science Education in Schools, 2018
Evaluating the quality of students' programs is necessary for better teaching and learning. Although many innovative learning environments for computer science have been introduced, the scarcity of program evaluation frames and tools is a demanding issue in the teaching practice. This study examined the quality of students' Scratch programs by…
Descriptors: Computer Science Education, Programming, Programming Languages, Program Evaluation
Gusev, Dmitri A. – Association Supporting Computer Users in Education, 2018
Chess programming is an old and venerable branch of game development. In the modern computing environment, it encompasses the development of chess engines, chess user interfaces (UIs), chess tournament broadcast tools, chess databases, endgame tablebases (EGTBs) and opening books. In this paper, the author shares his multi-year experience of…
Descriptors: Games, Computer Science Education, Programming, Programming Languages
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Rexwhite Tega Enakrire – Education and Information Technologies, 2024
This study reports on the usefulness of computer skills for enhanced teaching and learning among lecturers in an open-distance e-learning (ODEL) environment. Computer skills have become fundamental due to increasing new technological tools of web-based management systems, laptops, digital tablets, learning management systems, webinars, and the…
Descriptors: Computer Literacy, Open Education, Distance Education, Learning Management Systems
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Zilong Zhong; Hui Guo; Kun Qian – Education and Information Technologies, 2024
This study leverages bibliometric analysis through the bibliometrix R-package to dissect the expansive influence of machine learning on education, a field where machine learning's adaptability and data-processing capabilities promise to revolutionize teaching and learning methods. Despite its potential, the integration of machine learning in…
Descriptors: Bibliometrics, Programming Languages, Artificial Intelligence, Technology Uses in Education
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Felderer, Barbara; Blom, Annelies G. – Sociological Methods & Research, 2022
The ease at which online paradata can be captured in web surveys seems to increase social researchers' desire to collect such data. Yet little attention is paid to whether respondents actually approve of their collection. This article, therefore, studies online survey respondents' acceptance of automatically collecting their geographical…
Descriptors: Data Collection, Online Surveys, Geographic Location, Individual Characteristics
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Sharpe, J. P. – Physics Teacher, 2022
The Poisson distribution describes the probability of a certain number of events occurring in an interval of time when the occurrence of the individual events is independent of one another and the events occur with a fixed mean rate. Probably the best-known example of the Poisson distribution in the physics curriculum is the temporal distribution…
Descriptors: Physics, Science Instruction, Probability, Mathematics Skills
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Weiss, Charles J. – Biochemistry and Molecular Biology Education, 2022
This article reports a workshop from the 2021 IUBMB/ASBMB Teaching Science with Big Data conference held virtually in June 2021 where participants learned to explore and visualize large quantities of protein PBD data using Jupyter notebooks and the Python programming language. This activity instructs participants using Jupyter notebooks, Python…
Descriptors: Visual Aids, Programming Languages, Data Analysis, Science Instruction
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Çetinkaya-Rundel, Mine; Dogucu, Mine; Rummerfield, Wendy – Statistics Education Research Journal, 2022
Many data science applications involve generating questions, acquiring data and preparing it for analysis--be it exploratory, inferential, or modeling focused--and communicating findings. Most data science curricula address each of these steps as separate units in a course or as separate courses. Open-ended term projects, however, allow students…
Descriptors: Introductory Courses, Data Analysis, Statistics Education, Units of Study
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Prasad, Archana; Lal, P.; Wolde, B.; Zhu, M.; Samanthula, B. K.; Panorkou, N. – Journal of STEM Outreach, 2022
Out-of-classroom activities can help cultivate interest and literacy in Science, Technology, Engineering and Mathematics (STEM) subjects. To determine how a week-long out-of-classroom experience might impact STEM interest in adolescents, a free summer camp was offered to students entering grades 6-8. During this time, students participated in…
Descriptors: STEM Education, Camps, Summer Programs, Academic Aspiration
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Thakur, Khusbu; Kumar, Vinit – New Review of Academic Librarianship, 2022
A vast amount of published scholarly literature is generated every day. Today, it is one of the biggest challenges for organisations to extract knowledge embedded in published scholarly literature for business and research applications. Application of text mining is gaining popularity among researchers and applications are growing exponentially in…
Descriptors: Information Retrieval, Data Analysis, Research Methodology, Trend Analysis
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Ammar, Salwa; Kim, Min Jung; Masoumi, Amir H.; Tomoiaga, Alin – Decision Sciences Journal of Innovative Education, 2023
Over the past few years, academics have undertaken initiatives to bridge the gap between theory and practice in the ever-growing field of business analytics, including implementing real-life student projects in all shapes and forms. Every year since 2015, Manhattan College has invited student teams from across North America and elsewhere in the…
Descriptors: Business, Data Analysis, Business Administration Education, Intercollegiate Cooperation
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Quadir, Benazir; Mostafa, Kazi; Yang, Jie Chi; Shen, Juming; Akter, Rokaya – Education and Information Technologies, 2023
This study used the ARCS approach to investigate the effects of university students' motivation, including attention, relevance, confidence, and satisfaction, to use the Programming Teaching Assistant (PTA) on their Programming Problem-Solving Skills (PPSS). Previous studies have shown that PTA features enhance learners' programming performance,…
Descriptors: Programming Languages, Computer Science Education, Problem Solving, Student Motivation
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Peabody, Michael R. – Measurement: Interdisciplinary Research and Perspectives, 2023
Many organizations utilize some form of automation in the test assembly process; either fully algorithmic or heuristically constructed. However, one issue with heuristic models is that when the test assembly problem changes the entire model may need to be re-conceptualized and recoded. In contrast, mixed-integer programming (MIP) is a mathematical…
Descriptors: Programming Languages, Algorithms, Heuristics, Mathematical Models
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Meina Zhu; Cheng Wang – International Journal of Computer Science Education in Schools, 2023
Given the increasing needs of employees with computational skills, understanding the core competencies of K-12 computer science (CS) education is vital. This phenomenological research aims to identify critical factors of CS education in K-12 schools from the perspectives and visions of CS faculties in higher education and teachers in K-12 schools.…
Descriptors: College Faculty, Elementary Secondary Education, Teacher Attitudes, Universities
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