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Showing 1 to 15 of 64 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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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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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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Malliarakis, Christos; Satratzemi, Maya; Xinogalos, Stelios – IEEE Transactions on Learning Technologies, 2017
Computer programming has for decades posed several difficulties for students of all educational levels. A number of teaching approaches have been proposed over the years but none seems to fulfil the needs of students nowadays. Students use computers mainly for playing games and the Internet and as quite a few researchers state this aspect of…
Descriptors: Computer Games, Computer Science Education, Programming, Instructional Effectiveness
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Rum, Siti Nurulain Mohd; Ismail, Maizatul Akmar – Educational Technology & Society, 2017
Computer programming is a part of the curriculum in computer science education, and high drop rates for this subject are a universal problem. Development of metacognitive skills, including the conceptual framework provided by socio-cognitive theories that afford reflective thinking, such as actively monitoring, evaluating, and modifying one's…
Descriptors: Metacognition, Computer Assisted Instruction, Programming, Novices
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Tritrakan, Kasame; Kidrakarn, Pachoen; Asanok, Manit – Educational Research and Reviews, 2016
The aim of this research is to develop a learning model which blends factors from learning environment and engineering design concept for learning in computer programming course. The usage of the model was also analyzed. This study presents the design, implementation, and evaluation of the model. The research methodology is divided into three…
Descriptors: Engineering, Design, Computer Science Education, Programming
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Mihci, Can; Ozdener Donmez, Nesrin – International Journal of Research in Education and Science, 2017
The purpose of this research is to investigate the short and long-term effects of using GUI-oriented visual Blocks-Based Programming languages (BBL) as a 2nd tier tool when teaching programming to prospective K12 ICT teachers. In a mixed-method approach, the effect on academic success as well as the impact on professional opinions and preferences…
Descriptors: Programming, Preservice Teacher Education, Preservice Teachers, Programming Languages
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Tsai, Chia-Wen; Shen, Pei-Di; Tsai, Meng-Chuan; Chen, Wen-Yu – Interactive Learning Environments, 2017
Much application software education in Taiwan can hardly be regarded as practical. The researchers in this study provided a flexible means of ubiquitous learning (u-learning) with a mobile app for students to access the learning material. In addition, the authors also adopted computational thinking (CT) to help students develop practical computing…
Descriptors: Foreign Countries, College Freshmen, Web Based Instruction, Computation
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Kongcharoen, Chaknarin; Hwang, Wu-Yuin; Ghinea, Gheorghita – Educational Technology & Society, 2017
More studies are concentrating on using virtualization-based labs to facilitate computer or network learning concepts. Some benefits are lower hardware costs and greater flexibility in reconfiguring computer and network environments. However, few studies have investigated effective mechanisms for using virtualization fully for collaboration.…
Descriptors: Experimental Groups, Control Groups, Comparative Analysis, Academic Achievement
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Cetin, Ibrahim; Andrews-Larson, Christine – Computer Science Education, 2016
Recent increased interest in computational thinking poses an important question to researchers: What are the best ways to teach fundamental computing concepts to students? Visualization is suggested as one way of supporting student learning. This mixed-method study aimed to (i) examine the effect of instruction in which students constructed…
Descriptors: Computer Science Education, Visualization, Teaching Methods, Mixed Methods Research
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Yu, P.-T.; Wang, B.-Y.; Su, M.-H. – Journal of Computer Assisted Learning, 2015
The primary goal of this study is to create and test a lecture-capture system that can rearrange visual elements while recording is still taking place, in such a way that student performance can be positively influenced. The system we have devised is capable of integrating and rearranging multimedia sources, including learning content, the…
Descriptors: Lecture Method, Academic Achievement, Research Design, Experimental Groups
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Liu, Tsung-Yu – Interactive Learning Environments, 2016
This study investigates how educational games impact on students' academic performance and multimedia flow experiences in a computer science course. A curriculum consists of five basic learning units, that is, the stack, queue, sort, tree traversal, and binary search tree, was conducted for 110 university students during one semester. Two groups…
Descriptors: Educational Games, Computer Simulation, Computer Software, Computer Science Education
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