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Astuti, Kun Setyaning; Zuchdi, Darmiyati; Sayuti, Suminto A.; Rusdewanti, Panca Putri; Bramantyo, Triyono – International Journal of Instruction, 2022
An effective learning process must be organized in a focus. Focus is the focal point of competency targets. The study examines the effect of Imitation, Creation, and Origination as a focus learning by using Encore software to musicality and creativity of Nasheed groups, which currently spreads all over Indonesia. It is important to know about the…
Descriptors: Learning Processes, Imitation, Music, Computer Software
Madah Marzuki, Marziana; Nik Abdul Majid, Wan Zurina; Mohd Shukri, Roslina Salwani; Mohd Zawawi, Mohd Zafian; Abu Bakar, Hatinah – Journal of Education for Business, 2020
This paper investigates the relationship between gender, students' perceptions of accounting subjects, their learning approaches and the role of mobile app technology in accounting education. Based on a self-administered questionnaire developed and distributed to 153 respondents comprising of non-accounting students in Malaysia, it was found that…
Descriptors: Accounting, Computer Software, Gender Differences, Student Attitudes
Wan, Lydia; Crawford, Renée; Jenkins, Louise – Journal of Research in Music Education, 2023
In this study, we explored the ways in which listening tools within technology-mediated environments can facilitate children's self-regulation of instrumental music learning between lessons. This interpretive multiple case study utilized a software application assigned for 22 weeks to a piano teacher and four students (ages 8-10). Data sources…
Descriptors: Music Education, Metacognition, Familiarity, Problem Solving
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
El Aissaoui, Ouafae; El Alami El Madani, Yasser; Oughdir, Lahcen; El Allioui, Youssouf – Education and Information Technologies, 2019
Adaptive E-learning platforms provide personalized learning process relying mainly on learning styles. The traditional approach to find learning styles depends on asking learners to self-evaluate their own attitudes and behaviors through surveys and questionnaires. This approach presents several weaknesses including the lack of self-awareness of…
Descriptors: Classification, Cognitive Style, Models, Electronic Learning
Czerkawski, Betul C. – Online Journal of Distance Learning Administration, 2015
While student data systems are nothing new and most educators have been dealing with student data for many years, learning analytics has emerged as a new concept to capture educational big data. Learning analytics is about better understanding of the learning and teaching process and interpreting student data to improve their success and learning…
Descriptors: Electronic Learning, Data, Data Analysis, Learning Processes
Dounas, Lamiae; Salinesi, Camille; Beqqali, Omar El – Journal of Information Technology Education: Research, 2019
Aim/Purpose: In this paper, we highlight the need to monitor and diagnose adaptive e-learning systems requirements at runtime to develop a better understanding of their behavior during learning activities and improve their design. Our focus is to reveal which learning requirements the adaptive system is satisfying while still evolving and to…
Descriptors: Electronic Learning, Learning Activities, Instructional Design, Accuracy
Smeds, Pia; Jeronen, Eila; Kurppa, Sirpa – International Journal of Environmental and Science Education, 2015
Farm education is a newly emerging field of research that utilises authentic learning environments, environments that combine a subject of academic study with its real-world surroundings, actors, and activities--in this case, the practical context of a farm. The aim of the study was to investigate the effects of various learning environments…
Descriptors: Agricultural Occupations, Statistical Analysis, Mixed Methods Research, Computer Software
Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed.; Kommers, Piet, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2017
These proceedings contain the papers of the International Conference e-Learning 2017, which was organised by the International Association for Development of the Information Society, 20-22 July, 2017. This conference is part of the Multi Conference on Computer Science and Information Systems 2017, 20-23 July, which had a total of 652 submissions.…
Descriptors: Electronic Learning, Online Courses, Teaching Methods, Information Literacy
Solvie, Pamela; Sungur, Engin – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2012
This study, using mixed methods design research, examined the achievement of third level preservice teachers when advice in the form of text and resources was provided based on students' identified learning styles. In this study, Kolb's learning style inventory was used to identify students' preferred learning style preferences, and an online…
Descriptors: Preservice Teacher Education, Preservice Teachers, Cognitive Style, Learning Processes
Knauf, Rainer; Sakurai, Yoshitaka; Tsuruta, Setsuo; Jantke, Klaus P. – Journal of Educational Computing Research, 2010
University education often suffers from a lack of an explicit and adaptable didactic design. Students complain about the insufficient adaptability to the learners' needs. Learning content and services need to reach their audience according to their different prerequisites, needs, and different learning styles and conditions. A way to overcome such…
Descriptors: Prerequisites, College Instruction, Educational Experiments, Cognitive Style
Schiaffino, Silvia; Garcia, Patricio; Amandi, Analia – Computers & Education, 2008
In this paper we present eTeacher, an intelligent agent that provides personalized assistance to e-learning students. eTeacher observes a student's behavior while he/she is taking online courses and automatically builds the student's profile. This profile comprises the student's learning style and information about the student's performance, such…
Descriptors: Cognitive Style, Distance Education, Online Courses, Profiles
Strauss, Judy; Corrigan, Hope; Hofacker, Charles F. – Marketing Education Review, 2011
Sensory overload and split attention result in reduced learning when instructors read slides with bullet points and complex graphs during a lecture. Conversely, slides containing relevant visual elements, when accompanied by instructor narration, use both the visual and verbal channels of a student's working memory, thus improving the chances of…
Descriptors: Constructivism (Learning), Learner Engagement, Short Term Memory, Long Term Memory
Tseng, J. C. R.; Chu, H. C.; Hwang, G. J.; Tsai, C. C. – Computers & Education, 2008
Previous research of adaptive learning mainly focused on improving student learning achievements based only on single-source of personalization information, such as learning style, cognitive style or learning achievement. In this paper, an innovative adaptive learning approach is proposed by basing upon two main sources of personalization…
Descriptors: Cognitive Style, Instructional Design, Computer Software, Individualized Instruction
Kay, Robin H. – 1995
This paper details a study of knowledge-building activities in the domain of computer software. Thirty-six adults--evenly split among beginning, intermediate, and advanced knowledge levels--were videotaped while they attempted to learn a common spreadsheet package. Subjects were asked to think aloud while learning. Each knowledge building activity…
Descriptors: Adult Education, Cognitive Style, Computer Software, Epistemology
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