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Amaya, Edna Johanna Chaparro; Restrepo-Calle, Felipe; Ramírez-Echeverry, Jhon J. – Journal of Information Technology Education: Research, 2023
Aim/Purpose: This article proposes a framework based on a sequential explanatory mixed-methods design in the learning analytics domain to enhance the models used to support the success of the learning process and the learner. The framework consists of three main phases: (1) quantitative data analysis; (2) qualitative data analysis; and (3)…
Descriptors: Learning Analytics, Guidelines, Student Attitudes, Learning Processes
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Sullivan, Amanda; Bers, Marina Umaschi – Journal of Information Technology Education: Research, 2019
Aim/Purpose: Educational robotics competitions are a popular way to increase students' interest in science and engineering during their K-12 years. However, female students are typically underrepresented in these competitions. The goal of this study is to determine differences in the experiences of male and female robotics competition students in…
Descriptors: Robotics, Student Attitudes, Competition, Disproportionate Representation
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Abdunabi, Ramadan; Hbaci, Ilham; Ku, Heng-Yu – Journal of Information Technology Education: Research, 2019
Aim/Purpose: Currently, Information Systems (IS) departments in business schools are moving towards integrating learning to program or code in their undergraduate core courses. Many factors affecting IS student success in learning to program have been identified, but there is still a dearth of knowledge about student perceptions on their own…
Descriptors: Undergraduate Students, Student Attitudes, Self Efficacy, Programming
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Saito, Daisuke; Washizaki, Hironori; Fukazawa, Yoshiaki – Journal of Information Technology Education: Research, 2017
Aim/Purpose: When learning to program, both text-based and visual-based input methods are common. However, it is unclear which method is more appropriate for first-time learners (first learners). Background: The differences in the learning effect between text-based and visual-based input methods for first learners are compared the using a…
Descriptors: Programming, Computer Science Education, Comparative Analysis, Questionnaires
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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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Al-Azawei, Ahmed; Al-Bermani, Ali; Lundqvist, Karsten – Journal of Information Technology Education: Research, 2016
This study investigated the complex relationship among learning styles, gender, perceived satisfaction, and academic performance across four programming courses supported by an e-learning platform. A total of 219 undergraduate students from a public Iraqi university who recently experienced e-learning voluntarily took place in the study. The…
Descriptors: Cognitive Style, Programming, Foreign Countries, Undergraduate Students
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Zhang, Aimao – Journal of Information Technology Education: Research, 2012
Pedagogy of higher education is shifting from passive to active and deep learning. At the same time, the information technology (IT) industry and the Accreditation Board for Engineering and Technology (ABET) are demanding soft skills training. Thus, in designing an IT course, we devised group teaching projects where students learn to work with…
Descriptors: Group Activities, Industry, Cooperative Learning, Information Technology