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Moskal, Adon Christian Michael; Wass, Rob – Computer Science Education, 2019
Background and Context: Encouraging undergraduate programming students to think more about their software development processes is challenging. Most programming courses focus on coding skill development and mastering programming language features; subsequently software development processes (e.g. planning, code commenting, and error debugging) are…
Descriptors: Computer Software, Undergraduate Students, Programming, Programming Languages
Bulut, Okan; Yavuz, Hatice Cigdem – International Journal of Assessment Tools in Education, 2019
Educational data mining (EDM) has been a rapidly growing research field over the last decade and enabled researchers to discover patterns and trends in education with more sophisticated methods. EDM offers promising solutions to complex educational problems. Given the rapid increase in the availability of big data in education and software…
Descriptors: Data Analysis, Educational Research, Educational Researchers, Computer Software
Krüger, Ralph – Interpreter and Translator Trainer, 2022
This paper intends to illustrate the didactic potential of Python-based Jupyter notebooks in teaching translation technology, machine translation in particular, to translation students. It discusses the basic makeup of Jupyter notebooks and shows how these notebooks can be set up for students who have had little to no prior exposure to the Python…
Descriptors: Translation, Second Language Learning, Second Language Instruction, Natural Language Processing
Efecan, Can Fatih; Sendag, Serkan; Gedik, Nuray – Journal of Educational Computing Research, 2021
Learning programming is a painful process for most students, especially those learning text- based programming languages. In this study, based on the principle of Bandura's social learning theory, the vicarious real-life experiences of several pioneers in the field of IT and programming were presented as 15-minutes stories to a group of 9th…
Descriptors: Programming, Computer Science Education, Academic Achievement, Comparative Analysis
Silva, R. M.; Guan, Y.; Swartz, T. B. – Journal on Efficiency and Responsibility in Education and Science, 2017
This paper attempts to bridge the gap between classical test theory and item response theory. It is demonstrated that the familiar and popular statistics used in classical test theory can be translated into a Bayesian framework where all of the advantages of the Bayesian paradigm can be realized. In particular, prior opinion can be introduced and…
Descriptors: Item Response Theory, Bayesian Statistics, Test Construction, Markov Processes
P. Rose, Simon; Habgood, M. P. Jacob; Jay, Tim – Journal of Educational Computing Research, 2020
The recent shift in compulsory education from ICT-focused computing curricula to informatics, digital literacy and computer science, has resulted in children being taught computing using block-based programming tools such as Scratch, with teaching that is often limited by school resources and teacher expertise. Even without these limitations,…
Descriptors: Programming Languages, Computer Science Education, Game Based Learning, Educational Games
Calvo, Miquel; Carnicer, Artur; Cuadros, Jordi; Martori, Francesc; Miñarro, Antonio; Serrano, Vanessa – EURASIA Journal of Mathematics, Science and Technology Education, 2019
Open-ended tasks are common in Science, Technology, Engineering and Mathematics (STEM) education. However, as far as we know, no tools have been developed to assist in the assessment of the solution process of open-ended questions. In this paper, we propose the use of analysis of traces as a tool to address this need. To illustrate this approach,…
Descriptors: Computer Assisted Testing, STEM Education, Programming Languages, Undergraduate Students
Guzman, Laura Melissa; Pennell, Matthew W.; Nikelski, Ellen; Srivastava, Diane S. – CBE - Life Sciences Education, 2019
Biostatistics courses are integral to many undergraduate biology programs. Such courses have often been taught using point-and-click software, but these programs are now seldom used by researchers or professional biologists. Instead, biology professionals typically use programming languages, such as R, which are better suited to analyzing complex…
Descriptors: Undergraduate Study, Statistics, Biology, College Science
Broatch, Jennifer E.; Dietrich, Suzanne; Goelman, Don – Journal of Statistics Education, 2019
Early exposure to data science skills, such as relational databases, is essential for students in statistics as well as many other disciplines in an increasingly data driven society. The goal of the presented pedagogy is to introduce undergraduate students to fundamental database concepts and to illuminate the connection between these database…
Descriptors: Statistics, Teaching Methods, Computer Software, Mathematics Instruction
Sapounidis, Theodosios; Stamovlasis, Dimitrios; Demetriadis, Stavros – IEEE Transactions on Education, 2019
Contribution: Prior studies on tangible versus graphical user interfaces have reported controversial findings concerning children's preferences. This paper shows that their preference profiles in the domain of introductory programming are associated with gender and age for both interfaces. Background: The relevant literature mainly consists of…
Descriptors: Preferences, Profiles, Robotics, Introductory Courses
Aleksic, Veljko; Ivanovic, Mirjana – Informatics in Education, 2016
Programming is one of the basic subjects in most informatics, computer science mathematics and technical faculties' curricula. Integrated overview of the models for teaching programming, problems in teaching and suggested solutions were presented in this paper. Research covered current state of 1019 programming subjects in 715 study programmes at…
Descriptors: Foreign Countries, Programming, Computer Science Education, Introductory Courses
Tsai, Chih-Cheng; Cheng, Yuh-Min; Tsai, Yu-Shan; Lou, Shi-Jer – Education Sciences, 2021
In this study, experimental teaching was conducted through the artificial intelligence of things (AIOT) practical course, and the 4D (discover, define, develop, deliver) double diamond shape was used to design the course and plan the teaching content to observe the students' self-efficacy and learning anxiety. The technology acceptance model (TAM)…
Descriptors: High School Students, Student Satisfaction, Value Judgment, Usability
Basu, Satabdi; Rutstein, Daisy W.; Tate, Carol – National Comprehensive Center, 2021
The rapid expansion of computer science (CS) instruction in primary and secondary education has highlighted the shortage of teachers qualified to teach the subject. A key strategy for building CS teaching capacity has been preparing teachers of other subjects (e.g., math, technology applications, business) to teach introductory CS through…
Descriptors: Capacity Building, Faculty Development, Computer Science Education, Teaching Methods
Reis, Rosa; Marques, Bertil P. – International Association for Development of the Information Society, 2021
In this paper we present a model for designing professional courses in a blended learning context as a tool to help the interaction between students, teachers and learning resources. This model aims to promote new concepts, new approaches and new strategies that have been changing the paradigm of teaching and learning. To develop a course based on…
Descriptors: Programming, Instructional Design, Computer Science Education, Case Studies
Nicklin, Christopher; Vitta, Joseph P. – Language Testing, 2022
Instrument measurement conducted with Rasch analysis is a common process in language assessment research. A recent systematic review of 215 studies involving Rasch analysis in language testing and applied linguistics research reported that 23 different software packages had been utilized. However, none of the analyses were conducted with one of…
Descriptors: Programming Languages, Vocabulary Development, Language Tests, Computer Software