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Umutlu, Duygu – Journal of Research on Technology in Education, 2022
This qualitative case study was designed to explore pre-service teachers' computational thinking and programming skills in an educational technology course in which block-based programming was introduced in a teacher education program. 12 teacher candidates from different subject areas participated in the study. The findings show that…
Descriptors: Preservice Teachers, Computation, Thinking Skills, Programming Languages
Lakshminarayanan, Srinivasan; Rao, N. J. – Cogent Education, 2021
CS1 courses are designed in Indian Institutions as a lecture course of three to four credits and one credit lab course. The issues related to curriculum design, instruction design, and students' learning manifest themselves as issues in the lab programs. This situation presents the lab instructor with an opportunity to understand and address the…
Descriptors: Computer Science Education, Teaching Methods, Programming, Programming Languages
Çetinkaya-Rundel, Mine; Ellison, Victoria – Journal of Statistics and Data Science Education, 2021
The proliferation of vast quantities of available datasets that are large and complex in nature has challenged universities to keep up with the demand for graduates trained in both the statistical and the computational set of skills required to effectively plan, acquire, manage, analyze, and communicate the findings of such data. To keep up with…
Descriptors: Introductory Courses, Data Analysis, Statistics Education, Undergraduate Students
Mashood, K. K.; Khosla, Kamakshi; Prasad, Arjun; V., Sasidevan; Ashefas CH, Muhammed; Jose, Charles; Chandrasekharan, Sanjay – Physical Review Physics Education Research, 2022
Recent educational policies advocate a radical revision of science curricula and pedagogy, to support interdisciplinary practices, a distinguishing feature of contemporary science. Computational modeling (CM) is a core methodology of interdisciplinary science, as such models allow intertwining of data and theoretical perspectives from multiple…
Descriptors: Teaching Methods, Undergraduate Students, Science Instruction, Science Curriculum
Shin, Yoonhee; Song, Donggil – Journal of Educational Computing Research, 2022
This study explores the effect of self-regulated learning support on learners' cognitive load and problem-solving performance, considering cases from well-structured to ill-structured tasks in a computer programing course. Sixty-seven undergraduate students in a computer programing fundamentals course were randomly assigned into one of two groups:…
Descriptors: Cognitive Ability, Computer Science Education, Programming, Problem Solving
Sbaraglia, Marco; Lodi, Michael; Martini, Simone – Informatics in Education, 2021
Introductory programming courses (CS1) are difficult for novices. Inspired by "Problem solving followed by instruction" and "Productive Failure" approaches, we define an original "necessity-driven" learning design. Students are put in an apparently well-known situation, but this time they miss an essential ingredient…
Descriptors: Programming, Introductory Courses, Computer Science Education, Programming Languages
Radovilsky, Zinovy; Hegde, Vishwanath – Journal of Information Systems Education, 2022
Data Mining (DM) is one of the most offered courses in data analytics education. However, the design and delivery of DM courses present a number of challenges and issues that stem from the DM's interdisciplinary nature and the industry expectations to generate a broader range of skills from the analytics programs. In this research, we identified…
Descriptors: Data Analysis, Statistics Education, Graduate Students, Barriers
Flores, Rejeenald M.; Rodrigo, Ma. Mercedes T. – Journal of Educational Computing Research, 2020
Wheel-spinning refers to the failure to master a skill in a timely manner or after a considerable number of practice opportunities. Several past studies have developed wheel-spinning models in the areas of Mathematics and Physics. However, no models have been made for the context of novice programming. The purpose of this study was to develop…
Descriptors: Mastery Learning, Novices, Programming, Computer Science Education
Prasetya, Didik Dwi; Wibawa, Aji Prasetya; Hirashima, Tsukasa; Hayashi, Yusuke – Electronic Journal of e-Learning, 2020
Blended learning is a hybrid of traditional face-to-face and different types of online learning services. Blended learning offers synchronous and asynchronous learning experiences that combine the conveniences of online courses while maintaining in-person contact. Blended learning addresses the needs of students who are unable to attend classes…
Descriptors: Instructional Design, Blended Learning, Online Courses, Teaching Methods
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
Muller, Catherine L.; Kidd, Chris – Journal of Geography in Higher Education, 2014
The steep learning curve associated with computer programming can be a daunting prospect, particularly for those not well aligned with this way of logical thinking. However, programming is a skill that is becoming increasingly important. Geography graduates entering careers in atmospheric science are one example of a particularly diverse group who…
Descriptors: Foreign Countries, Programming, Geography, Geography Instruction
Akar, Sacide Guzin Mazman; Altun, Arif – Contemporary Educational Technology, 2017
The purpose of this study is to investigate and conceptualize the ranks of importance of social cognitive variables on university students' computer programming performances. Spatial ability, working memory, self-efficacy, gender, prior knowledge and the universities students attend were taken as variables to be analyzed. The study has been…
Descriptors: Individual Differences, Learning Processes, Programming, Self Efficacy
Durak, Gürhan; Ataizi, Murat – Universal Journal of Educational Research, 2016
The purpose of this study was to design the course of Programming Languages-I online, which is given on face-to-face basis at undergraduate level. It is seen in literature that there is no detailed research on the preparation of a fully-online course directly based on an instructional design model. In this respect, depending on the ADDIE design…
Descriptors: Online Courses, Instructional Design, Programming Languages, Computer Science Education
Thompson, Errol; Kinshuk – Computer Science Education, 2011
Object-oriented programming is seen as a difficult skill to master. There is considerable debate about the most appropriate way to introduce novice programmers to object-oriented concepts. Is it possible to uncover what the critical aspects or features are that enhance the learning of object-oriented programming? Practitioners have differing…
Descriptors: Expertise, Novices, Phenomenology, Learning Processes
Derntl, M.; Neumann, S.; Griffiths, D.; Oberhuemer, P. – IEEE Transactions on Learning Technologies, 2012
IMS Learning Design (LD) is the only available interoperability specification in the area of technology enhanced learning that allows the definition and orchestration of complex activity flows and resource environments in a multirole setting. IMS LD has been available since 2003, and yet it has not been widely adopted either by practitioners or by…
Descriptors: Foreign Countries, Educational Technology, Instructional Design, Computer Software