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Showing 1 to 15 of 52 results Save | Export
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Bulut, Derman; Samur, Yavuz; Cömert, Zeynep – Smart Learning Environments, 2022
In the 2020s, it is clear that children now spend most of their days in front of the screen. During screen time, playing games is one of the most important activities of children. However, technology is developing day by day and innovations are quickly becoming a natural part of life. Therefore, children now need to be creative people who produce…
Descriptors: Grade 5, Grade 6, Creative Thinking, Educational Technology
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Segbenya, Moses; Bervell, Brandford; Minadzi, Vincent Mensah; Somuah, Beatrice Asante – Smart Learning Environments, 2022
This study examined perspectives of distance education students on online learning based on their access gadgets (availability and functionality), online presentation or teaching methods, actual use of online learning coupled with its challenges. A quantitative approach and descriptive survey design were adopted for the study. A sample of 1061 was…
Descriptors: Distance Education, Online Courses, COVID-19, Pandemics
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Werth, Eric; Williams, Katherine – Smart Learning Environments, 2022
Theoretical evolution within the field of Open Pedagogy has progressed rapidly in recent years. Practical application, however, has lagged this conceptual development. This article seeks to explore the gap between theory and practice by examining how the use of terms within the open education space may create barriers for instructors new to the…
Descriptors: Open Education, Praxis, Theory Practice Relationship, Alignment (Education)
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Yagci, Mustafa – Smart Learning Environments, 2022
Educational data mining has become an effective tool for exploring the hidden relationships in educational data and predicting students' academic achievements. This study proposes a new model based on machine learning algorithms to predict the final exam grades of undergraduate students, taking their midterm exam grades as the source data. The…
Descriptors: Data Analysis, Academic Achievement, Prediction, Undergraduate Students
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Jayagopalan, Gaana; Mukherjee, Sweta – Smart Learning Environments, 2022
This paper qualitatively analyses the implication of urban sensorium as a pedagogic mode in the teaching of Urban Studies. Underpinned by the frames of smart learning environments, the paper reiterates experiencing urban ontologies as spatial learning environments. By drawing from a range of transdisciplinary and experiential modes of learning,…
Descriptors: Urban Studies, Urban Environment, Educational Environment, Multisensory Learning
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Deepa, V.; Sujatha, R.; Mohan, Jitendra – Smart Learning Environments, 2022
Technology adoption for school education further gained momentum during the COVID-19 pandemic. However, the challenges and strategies of children belonging to the less privileged (we use 'privileged' in the article to identify those enjoying a standard of living or rights as majority of people in the society) families are different from those of…
Descriptors: Constructivism (Learning), Grounded Theory, Technology Integration, Living Standards
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Brenner, Charlotte Ann – Smart Learning Environments, 2022
Self-regulated promoting practices foster students' development of metacognition, motivation and strategic action. These underlying learning competencies improve students' academic, social, emotional and career outcomes. Although beneficial, the development of self-regulated promoting practices is challenging, particularly for teacher candidates.…
Descriptors: Preservice Teachers, Preservice Teacher Education, Competency Based Education, Student Development
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Chaturvedi, Ramesh Kumar; Verma, Vishal; Mishra, Kushendra – Smart Learning Environments, 2022
The objective of this research paper is to check the difference between pre and post-session of the Brighter Minds based Cognitive Skill Training. The exploratory and descriptive research design is used in this study. In this investigation, the nine measurement variables are selected for the study such as memory, confidence, concentration,…
Descriptors: Cognitive Ability, Memory, Self Esteem, Intuition
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Dutta, Rubina; Mantri, Archana; Singh, Gurjinder – Smart Learning Environments, 2022
The education system evolves and transforms towards interactive and immersive learning tools in this digital age. Augmented reality has also evolved as a ubiquitous, robust, and effective technology for providing innovative educational tools. In engineering education, many abstract concepts require technological intervention for conceptual…
Descriptors: Usability, Computer Simulation, Engineering Education, Intervention
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Ma, Boxuan; Lu, Min; Taniguchi, Yuta; Konomi, Shin'ichi – Smart Learning Environments, 2022
With the increasing use of digital learning materials in higher education, the accumulated operational log data provide a unique opportunity to analyzing student learning behaviors and their effects on student learning performance to understand how students learn with e-books. Among the students' reading behaviors interacting with e-book systems,…
Descriptors: Behavior Patterns, Electronic Publishing, Books, Reading Processes
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Liew, Tze Wei; Pang, Wei Ming; Leow, Meng Chew; Tan, Su-Mae – Smart Learning Environments, 2022
Emotional design refers to imbuing a multimedia learning environment with design attributes that promote learners' positive affect and motivation to enhance learning. One such feature is anthropomorphism, in which human-like attributes are infused into learning elements in a multimedia learning environment. This study examines the affective,…
Descriptors: Multimedia Instruction, Instructional Design, Multimedia Materials, Human Body
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Abdullah, Siti Intan Nurdiana Wong; Arokiyasamy, Klara; Goh, Sock Leng; Culas, Andrea Joveena; Manaf, Nor Masheera Abdul – Smart Learning Environments, 2022
Technology has enabled the higher education ecosystem to tailor to the students who have diverse needs and to engage with them remotely, especially when face-to-face interaction is not possible. This research contributes knowledge in forced remote learning during the unprecedented global pandemic situation of COVID-19. Using a cross-sectional…
Descriptors: Student Satisfaction, COVID-19, Pandemics, College Students
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Leonardou, Angeliki; Rigou, Maria; Panagiotarou, Aliki; Garofalakis, John – Smart Learning Environments, 2022
The primary question of this study is whether OLM and OSLM mechanisms, when used in a digital game, offer higher motivation. Furthermore, the study investigates whether a game's aesthetics and mechanics support players' intrinsic motivation. Both claims are tested through the design, implementation and pilot use of the Multiplication Game (MG). MG…
Descriptors: Game Based Learning, Student Motivation, Student Attitudes, Video Games
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McGreal, Rory; Olcott, Don, Jr. – Smart Learning Environments, 2022
This article provides university leaders an introduction to the emerging micro-credentials field, including a snapshot of the global landscape. Despite the accelerated interest in micro-credentials, this article also raises a fundamental strategic question for leaders at the outset: Are micro-credentials right for our university? Part I discusses…
Descriptors: Credentials, Higher Education, Educational Benefits, Affordances
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Oliveira, Wilk; Hamari, Juho; Joaquim, Sivaldo; Toda, Armando M.; Palomino, Paula T.; Vassileva, Julita; Isotani, Seiji – Smart Learning Environments, 2022
Gamification refers to the attempt to transform different kinds of systems to be able to better invoke positive experiences such as the flow state. However, the ability of such intervention to invoke flow state is commonly believed to depend on several moderating factors including the user's traits. Currently, there is a dearth of research on the…
Descriptors: Game Based Learning, Learner Engagement, Learning Motivation, Personality Traits
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