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Showing 1 to 15 of 40 results Save | Export
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Wuxue Jiang; Ying Zhan; Daner Sun; Jin Sun; Peiyao Tian – Interactive Learning Environments, 2024
Higher vocational education has been on a trajectory of rapid development. However, the challenge of fostering effective learning in students persists. In response to this, a study was undertaken to explore the impact of an optimized model of SPOC-based blended learning (SPOC-BL) on student presence, learning satisfaction, learning motivation, and…
Descriptors: Vocational Education, Higher Education, Vocational Schools, Blended Learning
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Zi Xiang Poh; Ean Teng Khor – International Journal on E-Learning, 2024
Machine learning and data mining techniques have been widely used in educational settings to identify the important features that tend to influence students' learning performance and predict their future performance. However, there is little to no research done in the context of Singapore's education. Hence, this study aims to fill the gap by…
Descriptors: Learning Analytics, Goodness of Fit, Academic Achievement, Online Courses
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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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Sanal Kumar T. S.; R. Thandeeswaran – Education and Information Technologies, 2024
The COVID-19 pandemic has forced a significant increase in the utilization of video-based e-learning platforms for programming education. These platforms never considered the essential attributes of student characteristics and learning preferences while designing such a problematic subject having high dropout and failure rates. The traditional…
Descriptors: Blended Learning, Electronic Learning, Higher Education, Programming
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Nikola M. Luburic; Luka Z. Doric; Jelena J. Slivka; Dragan Lj. Vidakovic; Katarina-Glorija G. Grujic; Aleksandar D. Kovacevic; Simona B. Prokic – IEEE Transactions on Learning Technologies, 2025
Software engineers are tasked with writing functionally correct code of high quality. Maintainability is a crucial code quality attribute that determines the ease of analyzing, modifying, reusing, and testing a software component. This quality attribute significantly affects the software's lifetime cost, contributing to developer productivity and…
Descriptors: Intelligent Tutoring Systems, Coding, Computer Software, Technical Occupations
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Paassen, Benjamin; McBroom, Jessica; Jeffries, Bryn; Koprinska, Irena; Yacef, Kalina – Journal of Educational Data Mining, 2021
Educational data mining involves the application of data mining techniques to student activity. However, in the context of computer programming, many data mining techniques can not be applied because they require vector-shaped input, whereas computer programs have the form of syntax trees. In this paper, we present ast2vec, a neural network that…
Descriptors: Data Analysis, Programming Languages, Networks, Novices
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Maciej M. Syslo – Informatics in Education, 2024
The first books in Polish about the Pascal programming language appeared in the late 1970s, and were soon followed by a Polish translation of Niklaus Wirth's book "Algorithms + Data Structures = Programs." At that time, many efforts were made to prepare teachers to teach informatics in schools, and Pascal was one of the topics taught,…
Descriptors: Programming Languages, Information Science Education, Algorithms, Foreign Countries
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Schwab-McCoy, Aimee; Baker, Catherine M.; Gasper, Rebecca E. – Journal of Statistics and Data Science Education, 2021
In the past 10 years, new data science courses and programs have proliferated at the collegiate level. As faculty and administrators enter the race to provide data science training and attract new students, the road map for teaching data science remains elusive. In 2019, 69 college and university faculty teaching data science courses and…
Descriptors: Statistics Education, Higher Education, College Students, Teaching Methods
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Skhvediani, Angi; Sosnovskikh, Sergey; Rudskaia, Irina; Kudryavtseva, Tatiana – Journal of Education for Business, 2022
The development of digital technologies has created a market need for specialists working with the big data that is necessary for making management decisions. This study aims to identify the skills structure of the data analyst profession (DAP) in Russia. The authors used a program code written in Python to examine relevant vacancies extracted…
Descriptors: Data Analysis, Employment Qualifications, Higher Education, Curriculum Development
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So, Joseph Chi-ho; Wong, Adam Ka-lok; Tsang, Kia Ho-yin; Chan, Ada Pui-ling; Wong, Simon Chi-wang; Chan, Henry C. B. – Journal of Technology and Science Education, 2023
The project presented in this paper aims to formulate a recommendation framework that consolidates the higher education students' particulars such as their academic background, current study and student activity records, their attended higher education institution's expectations of graduate attributes and self-assessment of their own generic…
Descriptors: Pattern Recognition, Artificial Intelligence, Higher Education, College Students
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Liao, Shu-Min – Journal of Statistics and Data Science Education, 2023
SCRATCH, developed by the Media Lab at MIT, is a kid-friendly visual programming language, designed to introduce programming to children and teens in a "more thinkable, more meaningful, and more social" way. Although it was initially intended for K-12 students, educators have used it for higher education as well, and found it…
Descriptors: Teaching Methods, Coding, Programming Languages, Computer Science Education
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Chung, Chih-Hung; Chen, Lu-Jia – European Journal of Training and Development, 2021
Purpose: The purpose of this study is to explore the capabilities required by entry-level human resources (HR) professionals based on job advertisements by using text mining (TM) technique. Design/methodology/approach: This study used TM techniques to explore the capabilities required by entry-level HR professionals based on job advertisements on…
Descriptors: Human Resources, Educational Attainment, Job Skills, Employment
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Ennouamani, Soukaina; Mahani, Zouhir; Akharraz, Laila – Education and Information Technologies, 2020
To date, the growth usage of mobile technologies and devices as well as the ubiquitous wireless communication have led to the development of new systems and applications in many fields and areas including education. This technological progress can be used to facilitate the students' lives by creating smart and personalized solutions considering…
Descriptors: Management Systems, Telecommunications, Handheld Devices, Computer Software
Király, Sándor; Nehéz, Károly; Hornyák, Olivér – Research in Learning Technology, 2017
Recently, massive open online courses (MOOCs) have been offering a new online approach in the field of distance learning and online education. A typical MOOC course consists of video lectures, reading material and easily accessible tests for students. For a computer programming course, it is important to provide interactive, dynamic, online coding…
Descriptors: Large Group Instruction, Online Courses, Distance Education, Educational Technology
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Damsa, Crina; Muukkonen, Hanni – Research Papers in Education, 2020
This paper elaborates on the notion of object-oriented collaborative learning by building on empirical material from two case studies in higher education. Prior empirical findings show how knowledge objects are evolving entities, shaped by the interactions between participants, and how students learn from engaging in knowledge practice that…
Descriptors: Instructional Design, Cooperative Learning, Case Studies, Higher Education
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