NotesFAQContact Us
Collection
Advanced
Search Tips
Source
Interactive Learning…75
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 31 to 45 of 75 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Pala, Ferhat Kadir; Mihci Türker, Pinar – Interactive Learning Environments, 2021
In this study, the effects of Arduino IDE and C++ programming languages were investigated on the computational thinking skills of preservice teachers. The Computational Thinking Skills Scale was administered to preservice teachers. Firstly, a basic programming training was given and then it was asked to create group projects on a voluntary basis.…
Descriptors: Programming, Computer Science Education, Computation, Thinking Skills
Peer reviewed Peer reviewed
Direct linkDirect link
Lachney, Michael; Babbitt, William; Bennett, Audrey; Eglash, Ron – Interactive Learning Environments, 2021
Recent scholarship in computer science (CS) education shifts from a focus on the technical-cognitive skills of "computational thinking" to the socio-cultural goal of "computational participation," often illustrated as remixing popular media (e.g. music, photos, etc.) in online communities. These activities do enhance the…
Descriptors: Computer Science Education, African American Students, Cosmetology, Cultural Capital
Peer reviewed Peer reviewed
Direct linkDirect link
Murai, Yumiko; Ikejiri, Ryohei; Yamauchi, Yuhei; Tanaka, Ai; Nakano, Seiko – Interactive Learning Environments, 2023
Cultivating children's creativity and imagination is fundamental to preparing them for an increasingly complex and uncertain future. Engaging in creative learning enables children to think independently and critically, work cooperatively, and take risks while actively engaged in meaningful projects. While current trends in education, such as maker…
Descriptors: Creativity, Imagination, Teaching Methods, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Xing, Wanli – Interactive Learning Environments, 2021
Previous research has invested much effort in understanding how programming can contribute to the development of young learners' computational thinking (CT) in traditional K-12 classroom settings. Relatively few studies have examined programming for CT in informal online communities, especially for large scale quantitative research. With the…
Descriptors: Programming, Thinking Skills, Computation, Programming Languages
Peer reviewed Peer reviewed
Direct linkDirect link
I-Fan Liu; Hui-Chun Hung; Che-Tien Liang – Interactive Learning Environments, 2024
With the rise of big data, artificial intelligence, and other emerging information technologies, an increasing number of students without computer science (CS) backgrounds have begun to learn programming. Programming is considered a complex task for beginners, and instructors find it difficult to quickly address all the problems that students…
Descriptors: Programming, Student Attitudes, Blended Learning, Video Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Hassan, Muhammad Awais; Habiba, Ume; Majeed, Fiaz; Shoaib, Muhammad – Interactive Learning Environments, 2021
With the removal of the barriers of time and distance, E-learning platforms have attracted millions of learners, but these platforms are experiencing a significant drop-out ratio. One of the primary reasons for this problem is the lack of motivation among the learners because of the similar learning experience provided to them despite their…
Descriptors: Game Based Learning, Electronic Learning, Cooperative Learning, Integrated Learning Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Rich, Kathryn M.; Spaepen, Elizabet; Strickland, Carla; Moran, Cheryl – Interactive Learning Environments, 2020
A key debate in computer science education is whether and how computational thinking (CT) is used within disciplines other than computer science. Broad definitions provide many avenues for developing integrated instruction, as practices within existing activities can simply be reframed in terms of CT. But such general use of the term CT may…
Descriptors: Computer Science Education, Mathematics Education, Mathematics Skills, Elementary School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Wanxue Zhang; Lingling Meng; Bilan Liang – Interactive Learning Environments, 2023
With the continuous development of education, personalized learning has attracted great attention. How to evaluate students' learning effects has become increasingly important. In information technology courses, the traditional academic evaluation focuses on the student's learning outcomes, such as "scores" or "right/wrong,"…
Descriptors: Information Technology, Computer Science Education, High School Students, Scoring
Peer reviewed Peer reviewed
Direct linkDirect link
Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Mousavinasab, Elham; Zarifsanaiey, Nahid; R. Niakan Kalhori, Sharareh; Rakhshan, Mahnaz; Keikha, Leila; Ghazi Saeedi, Marjan – Interactive Learning Environments, 2021
With the rapid growth of technology, computer learning has become increasingly integrated with artificial intelligence techniques in order to develop more personalized educational systems. These systems are known as Intelligent Tutoring systems (ITSs). This paper focused on the variant characteristics of ITSs developed across different educational…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Individualized Instruction, Web Based Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Tlili, Ahmed; Denden, Mouna; Essalmi, Fathi; Jemni, Mohamed; Chang, Maiga; Kinshuk; Chen, Nian-Shing – Interactive Learning Environments, 2023
The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…
Descriptors: Learning Analytics, Learning Management Systems, Intelligent Tutoring Systems, Bayesian Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Wong, Gary Ka-Wai; Cheung, Ho-Yin – Interactive Learning Environments, 2020
The role of programming in computing education for children has grown rapidly in recent years with the proliferation of specially designed programming tools, which is grounded on Seymour Papert's theoretical work in Constructionism. Studies show that some children can develop computational thinking skills and practices with programming activities…
Descriptors: Elementary School Students, Student Attitudes, 21st Century Skills, Computation
Pages: 1  |  2  |  3  |  4  |  5