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O. S. Adewale; O. C. Agbonifo; E. O. Ibam; A. I. Makinde; O. K. Boyinbode; B. A. Ojokoh; O. Olabode; M. S. Omirin; S. O. Olatunji – Interactive Learning Environments, 2024
With the advent of technological advancement in learning, such as context-awareness, ubiquity and personalisation, various innovations in teaching and learning have led to improved learning. This research paper aims to develop a system that supports personalised learning through adaptive content, adaptive learning path and context awareness to…
Descriptors: Cognitive Style, Individualized Instruction, Learning Processes, Preferences
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Turhan, Cigdem; Akman, Ibrahim; Hacaloglu, Tuna – Interactive Learning Environments, 2022
The instructors generally utilize conventional methods in teaching software engineering courses, where the students are provided theoretical knowledge based on text books or lecture notes. Usage of collaborative tools may be a solution to the problems of not practicing the depth of the components of the subject. This study proposes the usage of a…
Descriptors: Computer Mediated Communication, Computer Software, Computer Science Education, Cooperation
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Ezequiel Scott; Marcelo Campo – Interactive Learning Environments, 2023
Scrum is one of the most used frameworks for agile software development because of its potential improvements in productivity, quality, and client satisfaction. Academia has also focussed on teaching Scrum practices to prepare students to face common software engineering challenges and facilitate their insertion in professional contexts.…
Descriptors: Computer Simulation, Training, Computer Software, Computer Science Education
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YungYu Zhuang; Yu-Hsuan Lin; Mahesh Liyanawatta; Andito Haryo Saputro; Yuniati Dwi Utami; Jen-Hang Wang – Interactive Learning Environments, 2024
Computer programming is essential nowadays but still challenging to learn due to its invisible thinking. Current programming environments are mostly designed for operating on computers directly to learn concrete programming, but this approach lacks the support for clarifying learners' thinking processes. On the other hand, using paper and pens…
Descriptors: Educational Environment, Thinking Skills, Programming, Computer Science Education
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Na Li; Erick Purwanto; Xiaojun Zhang; Feng Cao; Kok Hoe Wong; Xiangru Chen – Interactive Learning Environments, 2024
To address the problem of poor efficacy in hybrid learning in higher education, this study conducted a mix-method explanatory case study with structural equation modelling to examine a new construct, "perceived pedagogical value" (PPV), and its relationship with the core constructs of the Unified Theory of Acceptance and Use of…
Descriptors: Educational Benefits, Interaction, Blended Learning, College Students
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Ramírez-Donoso, Luis; Pérez-Sanagustín, Mar; Neyem, Andrés; Alario-Hoyos, Carlos; Hilliger, Isabel; Rojos, Felipe – Interactive Learning Environments, 2023
Over the past years, higher education institutions have been exploring different mechanisms to adapt their learning and teaching practices to increase students' engagement. One of the proposals has been to reuse Massive Online Open Courses (MOOCs) as Small Online Private Courses (SPOCs), or as complementary resources in traditional courses through…
Descriptors: Technology Uses in Education, Electronic Learning, Cooperative Learning, Gamification
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Lai, Ying-Hsun; Chen, Shih-Yeh; Lai, Chin-Feng; Chang, Yao-Chung; Su, Yu-Sheng – Interactive Learning Environments, 2021
Due to their applications on varied and complex issues, Artificial Intelligence (AI) and Internet of Things (IoT) (collectively, AIoT) have become popular new-generation courses, but the learning of such courses needs to consider actual situations and to analyze complicated problems, making it difficult for students to improve their academic…
Descriptors: Artificial Intelligence, Internet, Computation, Thinking Skills
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Chen, Yuh-Tyng; Liou, Shyhnan; Chen, Sheau-Ming – Interactive Learning Environments, 2021
Procedural knowledge learning focuses on integrating theory with practice; however, time and pace are the main critical issues. In response, this study proposes a flipped classroom approach based on the Bandura's [1986. The explanatory and predictive scope of self-efficacy theory. "Journal of Social and Clinical Psychology,"…
Descriptors: Flipped Classroom, Computer Science Education, Computer Software, College Students
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Ruiz, Samara; Urretavizcaya, Maite; Rodríguez, Clemente; Fernández-Castro, Isabel – Interactive Learning Environments, 2020
A positive emotional state of students has proved to be essential for favouring student learning, so this paper explores the possibility of obtaining student feedback about the emotions they feel in class in order to discover emotion patterns that anticipate learning failures. From previous studies about emotions relating to learning processes, we…
Descriptors: College Students, Computer Science Education, Emotional Response, Student Reaction
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Carbonaro, Antonella – Interactive Learning Environments, 2019
There have been many successful examples of new methodological approaches developed to help students in computer programming courses. Of these approaches, the peer assessment mechanism could be useful in providing students with opportunities to learn from one another, improve their learning experience and reach efficient learning outcomes. The…
Descriptors: Best Practices, Learner Engagement, Outcomes of Education, Conventional Instruction
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Lavbic, Dejan; Matek, Tadej; Zrnec, Aljaž – Interactive Learning Environments, 2017
Today's software industry requires individuals who are proficient in as many programming languages as possible. Structured query language (SQL), as an adopted standard, is no exception, as it is the most widely used query language to retrieve and manipulate data. However, the process of learning SQL turns out to be challenging. The need for a…
Descriptors: Evaluation Methods, Information Systems, Intelligent Tutoring Systems, Computer Science Education
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Chiang, Tosti Hsu-Cheng – Interactive Learning Environments, 2017
Programing is difficult for beginners because they need to learn the new language of computers. Developing software, especially complex software, is bound to result in problems, frustration, and the need to think in new ways. Identifying the learning behavior behind programing by way of empirical studies can help beginners learn more easily. In…
Descriptors: Programming, Educational Technology, Technology Uses in Education, Problem Solving
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Hatun Atas, Amine; Delialioglu, Ömer – Interactive Learning Environments, 2018
The aim of this study was to explore the opinions, perceptions and evaluations of students about their experiences with a question-answer system used on mobile devices in a lecture-based course. Basic qualitative research method was employed in this study to understand how students made sense of their experiences during the instruction. The…
Descriptors: Foreign Countries, College Students, Computer Science Education, Audience Response Systems
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Shen, Pei-Di; Lee, Tsang-Hsiung; Tsai, Chia-Wen – Interactive Learning Environments, 2011
Students in the vocational schools in Taiwan largely care little about their grades and do not get involved adequately in their schoolwork. To respond effectively to this challenge of teaching, two cases were studied and compared; one is a class using a traditional method of teaching and the other a class deploying innovative teaching methods of…
Descriptors: Foreign Countries, Vocational Schools, Database Management Systems, Blended Learning
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Bonestroo, Wilco J.; de Jong, Ton – Interactive Learning Environments, 2012
Self-regulated learners are expected to plan their own learning. Because planning is a complex task, it is not self-evident that all learners can perform this task successfully. In this study, we examined the effects of two planning support tools on the quality of created plans, planning behavior, task load, and acquired knowledge. Sixty-five…
Descriptors: Foreign Countries, Educational Technology, Preferences, Planning