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Theories of learning developed in education and psychology for the past 100 years are woefully inadequate to support the design of schools and classrooms that foster deep learning and equity. Needed is learning theory that can guide us in creating schools and classrooms where deep learning occurs, where learners' full selves are engaged, and that disrupt existing patterns of inequality and oppression. In this article, we build on recent research in education, neuroscience, psychology, and anthropology to articulate a theory of learning that has the potential to move us toward that goal. We elaborate four key principles of learning: (1) learning is rooted in evolutionary, biological, and neurological systems; (2) learning is integrated with other developmental processes whereby the whole child (emotion, identity, cognition) must be taken into account; (3) learning is shaped in culturally organized practice across people's lives; and (4) learning is experienced as embodied and coordinated through social interaction. Taken together, these principles help us understand learning in a way that foregrounds the range of community and cultural experiences people have throughout the life course and across the multiple settings of life and accounts for learning as set within systems of injustice.

A common conclusion of several studies is that augmented reality (AR) applications can enhance the learning process, learning motivation and effectiveness. Despite the positive results, more research is necessary. The current work aims to study the degree of diffusion of AR technology and teachers’ opinion about the need for continuous training, the process of creating 3D models, and the feasibility of AR applications development by teachers and students in school settings. Teachers are the common element in every different educational system and play a key role in the integration and acceptance of technology in education. Qualitative research was conducted in February 2019 in rural and suburban areas of North-Western Greece on secondary education teachers of different specialties and the results showed that AR applications development is feasible under certain conditions, including the limitation of the curriculum as the main negative factor and the teacher’s personality and the desire for co-operation among teachers of different specialties as positive factors.

In various technology-enhanced learning (TEL) environments, knowledge co-creation progresses through multimodal interactions that integrate verbal and nonverbal modalities, such as speech and gestures. This study investigated two distinct analytical approaches for analyzing multimodal interactions—triangulating and interleaving—by applying them to collaborative learning processes during an online embodied mathematics intervention. The findings demonstrate that the interleaving approach captures the temporal dynamics and nuanced interplay between multimodal events, providing deeper insights into how shared meaning-making evolves over time. In contrast, the triangulating approach effectively identifies cumulative interaction patterns but does not account for their temporal structure. Specifically, the interleaving approach, employing epistemic network analysis, revealed statistically significant differences in discourse patterns between learners with larger and smaller variances in upper body movements during the co-design activity. These findings underscore the complementary value of the interleaving approach in analyzing multimodal interactions and offer practical implications for advancing understanding of collaborative learning processes in TEL environments.

This article describes elements of an approach to research and development called design-based implementation research. The approach represents an expansion of design research, which typically focuses on classrooms, to include development and testing of innovations that foster alignment and coordination of supports for improving teaching and learning. As in policy research, implementation is a key focus of theoretical development and analysis. What distinguishes this approach from both traditional design research and policy research is the presence of four key elements: (a) a focus on persistent problems of practice from multiple stakeholders' perspectives; (b) a commitment to iterative, collaborative design; (c) a concern with developing theory related to both classroom learning and implementation through systematic inquiry; and (d) a concern with developing capacity for sustaining change in systems.

Purpose The purpose of this study is to extend the knowledge on sustainable organisational learning (OL) in sustainable companies. Design/methodology/approach Sustainability is examined from an OL perspective and was based on Edward’s integral cycle of learning. An in-depth analysis of the literature was carried out, and a list of OL characteristics, such as openness to new ideas and participative policymaking, were compiled. To identify which OL characteristics are used for sustainability, a multiple-case study was designed for sustainable companies operating in the food and beverage industry. Findings This study found a wide variety of sustainable practices, such as experimentation and information-sharing systems, related to learning processes, and learning leadership appears to be the least developed dimension. It was also found that sustainable companies learn through social rather than reflective learning, in relationships with internal and external stakeholders, and by concrete actions to implement environmental and social impacts. Originality/value This study is one of a few that explore sustainable OL and contributes to categorising OL characteristics that sustainable companies use to facilitate and support sustainability in the mid–long term.

Despite the increasing use of the self-regulated learning process in the smart learning environment, understanding the concepts from a theoretical perspective and empirical evidence are limited. This study used a systematic review to explore models, design tools, support approaches, and empirical research on the self-regulated learning process in the smart learning environment. This review revealed that there is an increasing body of literature from 2012 to 2020. The analysis shows that self-regulated learning is a critical factor influencing a smart learning environment’s learning process. The self-regulated learning components, including motivation, cognitive, metacognitive, self-efficiency, and metacognitive components, are most cited in the literature. Furthermore, self-regulated strategies such as goal setting, helping-seeking, time management, and self-evaluation have been founded to be frequently supported in the literature. Besides, limited theoretical models are designed to support the self-regulated learning process in a smart learning environment. Furthermore, most evaluations of the self-regulated learning process in smart learning environment are quantitative methods with limited mixed methods. The design tools such as visualization, learning agent, social comparison, and recommendation are frequently used to motivate students’ learning engagement and performance. Finally, the paper presents our conclusion and future directions supporting the self-regulated learning process in the smart learning environment.

PurposeEvery day thousands of academic institutes suspend their classes and students are staying in their home maintaining social distancing due to the fear of COVID-19 pandemic and Nepal is no exception. Realizing these facts, this study aims to explore the factors for the effectiveness of online mode of classes to on-class course-based students and analyzes the perception of faculties and students toward online mode during the COVID-19 pandemic.Design/methodology/approachIt is based on exploratory research design, following mixed methods of qualitative and quantitative procedure. To build a rich understanding of the phenomenon, three-stage data collection procedure: preliminary interview, structural survey and validation were used.FindingsThis study revealed triplet factors: infrastructure, student and teacher as antecedents of effectiveness of online classes during a pandemic. Technological support, infrastructure availability, faculty and students' perception have a significant relationship for the effectiveness of the online mode of the teaching-learning process. Students faced anxiety during the COVID-19 pandemic, but a higher willingness to learn reduces the level of anxiety.Originality/valueThis study significantly contributes to the future management of higher education and digs the future path of online and on-class teaching-learning practices.

The influence of Artificial Intelligence on higher education is increasing. As important drivers for student retention and learning success, generative AI-tools like translators, paraphrasers and most lately chatbots can support students in their learning processes. The perceptions and expectations of first-years students related to AI-tools have not yet been researched in-depth. The same can be stated about necessary requirements and skills for the purposeful use of AI-tools. The research work examines the relationship between first-year students’ knowledge, skills and attitudes and their use of AI-tools for their learning processes. Analysing the data of 634 first-year students revealed that attitudes towards AI significantly explains the intended use of AI tools. Additionally, the perceived benefits of AI-technology are predictors for students’ perception of AI-robots as cooperation partners for humans. Educators in higher education must facilitate students’ AI competencies and integrate AI-tools into instructional designs. As a result, students learning processes will be improved.

Over the past 20 years, claims about how and why student writing can serve learning have changed markedly. This has been partly due to new technologies displacing writing as a predominant resource for learning, prompting new sense-making practices and shifts in how these changes are theorized. Learners now routinely collaborate to generate, manipulate, analyze, and share images in many subject areas, where multimodal and multimedia resources are expected to motivate learners, enact new learning processes and outcomes, and display this cross-modal learning. These new practices have prompted revisions to how writing is understood and used as a tool for learning in an increasingly multimodal, highly digitized world. In reviewing this literature, we claim that there are strong evidence-based reasons for viewing writing as a central but not sole resource for learning. Our case draws on both past and current research on writing as an epistemological tool. In presenting this case, we draw primarily on our professional background in science education research, acknowledging its distinctive take on the use of writing for learning. However, we think our general case also holds for other disciplinary areas.

Purpose Advanced skills in communication, teamwork and stakeholder engagement are widely recognized as important success factors for advancing sustainability. While project-based learning formats claim to advance such skills, there is little empirical evidence that demonstrates how interpersonal competence is being developed. This study aims to describe and explains teaching and learning processes of project-based sustainability courses that contribute to the development of interpersonal competence as one of the key competencies in sustainability. Design/methodology/approach This study on an international project-based learning course adopted a multi-method case study approach, triangulating observations, semi-structured interviews and focus groups supported by Photovoice method through which students tracked their learning processes. Data collection and analysis followed a grounded theory approach. Findings Learning through and from conflicts within a learning community can foster competence development in teamwork, communication and stakeholder engagement. This study identified inner and outer conflicts (within individuals versus between individuals or groups) as potential drivers of learning processes, depending on strategies applied to address these conflicts. Originality value The value of this study is fourfold: it demonstrates how conflicts can be leveraged for students’ competence development; it provides in-depth empirical data from multiple perspectives, it discusses the findings in the context of teaching and learning theories, and it demonstrates an application of the Photovoice method to track and improve teaching and learning processes.