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Showing 1 to 15 of 129 results Save | Export
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Chen, Huan; Wang, Ye; Li, You; Lee, Yugyung; Petri, Alexis; Cha, Teryn – Education and Information Technologies, 2023
Artificial intelligence (AI) has been widely adopted in higher education. However, the current research on AI in higher education is limited lacking both breadth and depth. The present study fills the research gap by exploring faculty members' perception on teaching AI and data science related courses facilitated by an open experiential AI…
Descriptors: College Faculty, Computer Science Education, Control Groups, Data Science
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Li, Xing; Xie, Kui; Vongkulluksn, Vanessa; Stein, David; Zhang, Yi – Journal of Research on Technology in Education, 2023
Computational Thinking (CT) is regarded as a crucial competency for all children in the 21st century. There are misconceptions about CT which confounds CT skills with programming skills. However, CT skills and programming skills are not the same. CT is a broader skillset of cognitive thinking that is integral to complex problem solving. Teaching…
Descriptors: Elementary School Students, Computation, Thinking Skills, Self Concept
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Yildiz Durak, Hatice – Technology, Knowledge and Learning, 2020
The aim of this research is to determine the effects of Scratch and Alice tools and programming teaching practices on student engagement, reflective thinking and problem-solving skills and computational thinking (CT) comparatively. A quasi-experimental design was used in the research and patterns with pretest-posttest control group were chosen for…
Descriptors: Secondary School Students, Computer Science Education, Programming, Programming Languages
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Ragonis, Noa; Shilo, Gila – Journal of Information Technology Education: Research, 2018
Aim/Purpose: Research shows that students encounter difficulties in identifying the structure of argumentation texts and in understanding the main message of the argument. The research examined the effect that learning Logic Programming (LP), while applying logic inference, has on students' understanding of argumentation texts. Background:…
Descriptors: Persuasive Discourse, Computer Science, Inferences, Student Attitudes
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Brown, Richard S.; Brown, Emily Anne – International Journal of Computer Science Education in Schools, 2019
This study employs a potential outcomes modeling approach to estimate the effect of Code.org's Professional Learning Program on Advanced Placement (AP) Computer Science Principles test taking and qualifying score earned for a recent cohort of 167 schools compared to a matched group of comparison schools. Results indicate substantial and…
Descriptors: Instructional Effectiveness, Teacher Education Programs, Advanced Placement, Outcome Measures
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Avcu, Yunus Emre; Er, Kemal Oguz – International Journal of Educational Methodology, 2020
This study aimed to develop an instructional design that focuses on programming teaching for gifted and talented students and to investigate its effects on the teaching process. During the development of the instructional design; the steps of Morrison, Ross and Kemp Instructional Design Model were followed. Embedded experimental design, one of the…
Descriptors: Foreign Countries, Instructional Design, Information Technology, Computer Software
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Rakhimzhanova, B. Lyazzat; Issabayeva, N. Darazha; Khakimova, Tiyshtik; Bolyskhanova, J. Madina – International Education Studies, 2015
The purpose of this study was to justify of the formation technique of representation of modeling methodology at computer science lessons. The necessity of studying computer modeling is that the current trends of strengthening of general education and worldview functions of computer science define the necessity of additional research of the…
Descriptors: Foreign Countries, Computer Science, Computer Science Education, Computer Simulation
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Gezgin, Deniz Mertkan – International Journal of Distance Education Technologies, 2019
This article investigates the effect of mobile learning support on students' academic success on a database management systems (DBMS) course. The research was carried out with 36 students attending a state university in Turkey. In this study, a mixed method was used, which includes both quantitative and qualitative data collection techniques. For…
Descriptors: Management Systems, Databases, Academic Achievement, Pretests Posttests
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Yavuzarslan, Mithat; Olgun, Hakan; Yazici, Selim – Online Submission, 2019
One of the main outcomes of the current period is to decrease in the cost and energy of accessing the information due to rapid growing of internet and Information Technologies. Therefore, transferring online courses to users via e-learning platforms has became more and more preferred in recent years. This paper aims to investigate the effect of an…
Descriptors: Foreign Countries, Blended Learning, Conventional Instruction, Teaching Methods
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Olelewe, Chijioke Jonathan; Agomuo, Emmanuel E.; Obichukwu, Peter Uzochukwu – Education and Information Technologies, 2019
Achieving learner engagement in the teaching and learning process is paramount towards ensuring knowledge retention in QBASIC programming. This study focuses on effects of b-learning and face-to-face (F2F) on college students' engagement and retention in QBASIC programming. The study adopted quasi-experimental design with non-equivalent group…
Descriptors: College Students, Learner Engagement, Retention (Psychology), Programming
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Soboleva, Elena V.; Karavaev, Nikita L.; Shalaginova, Nadezhda V.; Perevozchikova, Marina S. – European Journal of Contemporary Education, 2018
The research is devoted to the actual problem of upgrading the existing model of robotics training in connection with the urgent need for implementing a strategy for training highly qualified specialists in the most demanded and promising sectors of the future, taking into account the requirements of business, society, and the State. The aim of…
Descriptors: Robotics, Teaching Methods, Interdisciplinary Approach, Specialists
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Costa, Joana Martinho; Miranda, Guilhermina Lobato – Informatics in Education, 2019
This paper presents an approach to the initial programming learning using the four components instructional model and the Alice software. The quasi-experimental design was developed with two groups of students that attended two schools with very different socioeconomic status and school retention levels. The differences obtained in the mean of the…
Descriptors: Computer Software, Instructional Design, Models, Programming
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Uz, Ruchan; Uzun, Adem – European Journal of Educational Research, 2018
The aim of this paper is to determine the influence of blended learning environments on self-regulated and self-directed learning skills of undergraduate students. The explanatory sequential mixed method was used. In total 167 students participated in the study. While sixty students taking "Programming Languages" course at Computer…
Descriptors: Blended Learning, Independent Study, Learning Strategies, Undergraduate Students
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Brita-Paja, J. L.; Gregorio, C.; Llana, L.; Pareja, C.; Riesco, A. – Interactive Learning Environments, 2019
During the last years online education, in particular Massive Open Online Courses (MOOCs), has contributed to spread and popularize educational methodologies such as peer-review, automatic assessment, self-paced courses, self-evaluation, etc. Although these techniques can benefit face-to-face courses, most of them are not yet widely used in these…
Descriptors: Online Courses, Synchronous Communication, Undergraduate Study, Peer Evaluation
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Lukose, Jose; Mammen, Kuttickattu John – Asia-Pacific Forum on Science Learning and Teaching, 2018
Research reports using global data show that the failure rates in introductory programming courses average about 32%. As learners from schools join the university and enrol for different courses, they find the sudden transformation quite challenging. This makes it more challenging for first year university students, especially in difficult courses…
Descriptors: Academic Achievement, Introductory Courses, Programming, Computer Science Education
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