Smart Learning Environments is affiliated with the International Association of Smart Learning Environments. This journal is supported by National Engineering Laboratory for Cyberlearning and Intelligent Technology and Smart Learning Institute of Beijing Normal University.
Articles
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Citation: Smart Learning Environments 2023 10:13
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A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms
The term "Smart Classroom" has evolved over time and nowadays reflects the technological advancements incorporated in educational spaces. The rapid advances in technology, and the need to create more efficient...
Citation: Smart Learning Environments 2023 10:12 -
International undergraduates’ perceptions of social engagement in online and face-to-face learning environments: a photo-elicitation approach to thematic analysis
This mixed-methods study explores international undergraduates’ perceptions of social engagement with American peers at a US university comparing online to face-to-face environments. It addresses gaps in resea...
Citation: Smart Learning Environments 2023 10:11 -
Gamification of e-learning in higher education: a systematic literature review
In recent years, university teaching methods have evolved and almost all higher education institutions use e-learning platforms to deliver courses and learning activities. However, these digital learning envir...
Citation: Smart Learning Environments 2023 10:10 -
TAnnotator: Towards Annotating Programming E-textbooks with Facts and Examples
E-textbooks are one of the commonly used sources to learn programming, in the domain of computer science and engineering. Programming related textbooks provide examples related to syntax, but the number of exa...
Citation: Smart Learning Environments 2023 10:9 -
Active learning and education 4.0 for complex thinking training: analysis of two case studies in open education
This article focuses on empirically analyzing the final products designed by 147 academics from 11 countries who participated in an international open education movement workshop by answering the research ques...
Citation: Smart Learning Environments 2023 10:8 -
Physical home-learning environments of traditional and non-traditional students during the COVID pandemic: exploring the impact of learning space on students’ motivation, stress and well-being
When the COVID-19 pandemic forced higher education institutions to implement their programs in an online setting, different groups of students were influenced to different extents. In many cases, the main locu...
Citation: Smart Learning Environments 2023 10:7 -
Design and piloting of a proposal for intervention with educational robotics for the development of lexical relationships in early childhood education
An applied research proposal for integrated learning based on the use of educational robotics has been proposed. The design has been implemented with a sample of 21 four-year-old students applying twenty-first...
Citation: Smart Learning Environments 2023 10:6 -
UAE university students’ experiences of virtual classroom learning during Covid 19
Virtual Classroom (VC) learning approaches have recently drawn considerable attention because they have the potential to encourage student engagement to ensure active and collaborative learning. Although resea...
Citation: Smart Learning Environments 2023 10:5 -
The effects of using an auto-subtitle system in educational videos to facilitate learning for secondary school students: learning comprehension, cognitive load, and satisfaction
While subtitles are considered a primary learning support tool for people who cannot understand video narration in foreign languages, recent advancements in artificial intelligence (AI) technologies have playe...
Citation: Smart Learning Environments 2023 10:4 -
The role of novelty stimuli in second language acquisition: evidence from the optimized training by the Pinyin Tutor at TalkBank
As hypothesized by the unified competition model (MacWhinney, 2007, 2017, 2021), optimizing training schemes can enhance second language (L2) learning by fostering various protective factors. Under such a fram...
Citation: Smart Learning Environments 2023 10:3 -
Motivating youth to learn STEM through a gender inclusive digital forensic science program
This paper describes the design, implementation and research of the Cyber Sleuth Science Lab (CSSL), an innovative educational program and supporting virtual learning environment, that combines pedagogical the...
Citation: Smart Learning Environments 2023 10:2 -
Student-content interactions: Exploring behavioural engagement with self-regulated inquiry-based online learning modules
Technological innovations and changing learning environments are influencing student engagement more than ever before. These changing learning environments are affecting the constructs of student behavioural e...
Citation: Smart Learning Environments 2023 10:1 -
Predicting Master’s students’ academic performance: an empirical study in Germany
The tremendous growth in electronic educational data creates the need to have meaningful information extracted from it. Educational Data Mining (EDM) is an exciting research area that can reveal valuable knowl...
Citation: Smart Learning Environments 2022 9:38 -
Student perspectives on the use of universal design for learning in virtual formats in higher education
Universal design for learning (UDL) in higher education may be a useful tool in supporting the heterogenous higher education student population, specifically in supporting student academic outcomes and retenti...
Citation: Smart Learning Environments 2022 9:37 -
Incorporating personalized learning in a role-playing game environment via SID model: a pilot study of impact on learning performance and cognitive load
While role-playing games and personalized learning have been regarded as effective tools to improve students’ learning, incorporating personalized learning into role-playing games is challenging and approaches...
Citation: Smart Learning Environments 2022 9:36 -
Correction: Adaptive learning: toward an intentional model for learning process guidance based on learner’s motivation
Citation: Smart Learning Environments 2022 9:35 -
Improving static balance ability with trainings supported by somatosensory-based feedback system
To support trainings for static balance ability improvement, in this study, we developed a somatosensory-based feedback system (SFS) using Kinect technology. Three training tasks such as knees crouch, rotating...
Citation: Smart Learning Environments 2022 9:34 -
Adaptive learning: toward an intentional model for learning process guidance based on learner’s motivation
The goal of ITS is to support learning content, activities, and resources, adapted to the specific needs of the individual learner and influenced by learner’s motivation. One of the major challenges to the mai...
Citation: Smart Learning Environments 2022 9:33 -
Reuse of e-learning personalization components
Personalized learning systems use several components in order to create courses adapted to the learners’characteristics. Current emphasis on the reduction of costs of development of new resources has motivated...
Citation: Smart Learning Environments 2022 9:32 -
Automatic engagement estimation in smart education/learning settings: a systematic review of engagement definitions, datasets, and methods
Recognizing learners’ engagement during learning processes is important for providing personalized pedagogical support and preventing dropouts. As learning processes shift from traditional offline classrooms t...
Citation: Smart Learning Environments 2022 9:31 -
The use of augmented reality in a gamified CLIL lesson and students’ achievements and attitudes: a quasi-experimental study
The advancement of technology has provided new avenues for English language teachers to assist students in improving their language learning processes. Augmented reality is an emerging technology that can impl...
Citation: Smart Learning Environments 2022 9:30 -
On the introduction of intelligent alerting systems to reduce e-learning dropout: a case study
E-learning students have a tendency to get demotivated and easily dropout from online courses. Refining the learners’ involvement and reducing dropout rates in these e-learning based scenarios is the main driv...
Citation: Smart Learning Environments 2022 9:29 -
Investigating the effects of flipped vocabulary learning via an online dictionary on EFL learners' listening comprehension
This study investigated the impact of flipped vocabulary learning on the listening achievement of EFL learners. The study participants included 60 English language learners selected based on their performance ...
Citation: Smart Learning Environments 2022 9:28 -
‘You don’t have to feel trapped’: architectural discourses of youth engagement in a community-based learning environment
The rigid architectures inherent within formal schooling continue to influence young people’s disengagement from education. Globally and locally, policy makers have proposed education reform and innovation, po...
Citation: Smart Learning Environments 2022 9:27 -
Augmented reality learning environment to aid engineering students in performing practical laboratory experiments in electronics engineering
In an era where technology is being used more and more in daily life, the potential and effective use of technology is becoming increasingly vital in education. Engineering education necessitates the use of te...
Citation: Smart Learning Environments 2022 9:26 -
Measuring learning that is hard to measure: using the PECSL model to evaluate implicit smart learning
This paper explores potential ways of evaluating the implicit learning that may be present in autonomous smart learning activities and environments, reflecting on prior phenomenographic research into smart lea...
Citation: Smart Learning Environments 2022 9:25 -
Is Metaverse in education a blessing or a curse: a combined content and bibliometric analysis
The Metaverse has been the centre of attraction for educationists for quite some time. This field got renewed interest with the announcement of social media giant Facebook as it rebranding and positioning it a...
Citation: Smart Learning Environments 2022 9:24 -
Which training method is more effective in earthquake training: Digital game, drill, or traditional training?
One of the most important reasons for deaths and injuries caused by earthquakes is that society does not have sufficient knowledge of appropriate protective behaviors during an earthquake. The purpose of this ...
Citation: Smart Learning Environments 2022 9:23 -
Learning with desktop virtual reality: changes and interrelationship of self-efficacy, goal orientation, technology acceptance and learning behavior
With advantages such as ease of use and low cost, desktop virtual reality (VR) technologies are increasingly being used in practical learning. This study aims to clarify the relationship among students' self-e...
Citation: Smart Learning Environments 2022 9:22 -
A systematic review on digital literacy
The purpose of this study is to discover the main themes and categories of the research studies regarding digital literacy. To serve this purpose, the databases of WoS/Clarivate Analytics, Proquest Central, Em...
Citation: Smart Learning Environments 2022 9:21 -
Implementing a cost effective and configurable hybrid simulation platform in healthcare education, using wearable and web-based technologies
There are many examples of hybrid simulation models in healthcare education which are designed to simulate specific scenarios. However, there appears to be a need for a cost effective and configurable hybrid s...
Citation: Smart Learning Environments 2022 9:20 -
Multimedia learning principles in different learning environments: a systematic review
Current literature mainly focused on one or two multimedia learning principles in traditional learning environments. Studies on multimedia learning principles in AR and VR environments are also limited. To rev...
Citation: Smart Learning Environments 2022 9:19 -
Effects of quantum-learning and conventional teaching methods on learning achievement, motivation to learn, and retention among nursing students during critical care nursing education
Nursing education needs to be dedicated to sparking creativity as well as enhancing dynamic thinking and clinical decision-making skills. In this respect, exploiting quantum-learning methodology can be effecti...
Citation: Smart Learning Environments 2022 9:18 -
Emerging trends of online assessment systems in the emergency remote teaching period
The COVID-19 pandemic caused many educational institutions in the world to switch to the distance education process, and this process was called "Emergency Remote Teaching". This urgent transition process has ...
Citation: Smart Learning Environments 2022 9:17 -
The effects of personalized gamification on students’ flow experience, motivation, and enjoyment
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 stat...
Citation: Smart Learning Environments 2022 9:16 -
University students’ satisfaction and future outlook towards forced remote learning during a global pandemic
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 ...
Citation: Smart Learning Environments 2022 9:15 -
Effect of OSLM features and gamification motivators on motivation in DGBL: pupils' viewpoint
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 suppor...
Citation: Smart Learning Environments 2022 9:14 -
Modelling the perspectives of distance education students towards online learning during COVID-19 pandemic
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 ...
Citation: Smart Learning Environments 2022 9:13 -
Correction to: Culture learning in a daily space of kitchen: the case of Korean digital kitchen
Citation: Smart Learning Environments 2022 9:12 -
Educational data mining: prediction of students' academic performance using machine learning algorithms
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 ...
Citation: Smart Learning Environments 2022 9:11 -
The why of open pedagogy: a value-first conceptualization for enhancing instructor praxis
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 bet...
Citation: Smart Learning Environments 2022 9:10 -
A strategic reset: micro-credentials for higher education leaders
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 artic...
Citation: Smart Learning Environments 2022 9:9 -
The effect of educational game design process on students’ creativity
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 develo...
Citation: Smart Learning Environments 2022 9:8 -
Differential effect of pre and post cognitive skills training program: a study on healthy young children
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 thi...
Citation: Smart Learning Environments 2022 9:7 -
Evaluating system usability of mobile augmented reality application for teaching Karnaugh-Maps
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 provid...
Citation: Smart Learning Environments 2022 9:6 -
Anthropomorphizing malware, bots, and servers with human-like images and dialogues: the emotional design effects in a multimedia learning environment
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 w...
Citation: Smart Learning Environments 2022 9:5 -
Teaching through urban sensorium: urban spatiality as a smart learning environment
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 experie...
Citation: Smart Learning Environments 2022 9:4 -
Self-regulated learning, self-determination theory and teacher candidates’ development of competency-based teaching practices
Self-regulated promoting practices foster students’ development of metacognition, motivation and strategic action. These underlying learning competencies improve students' academic, social, emotional and caree...
Citation: Smart Learning Environments 2022 9:3 -
Unsung voices of technology in school education-findings using the constructivist grounded theory approach
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 ar...
Citation: Smart Learning Environments 2022 9:1
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