Explore the vast range of titles available.

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.

The purposes of this research study are to develop an intelligent virtual universal learning (IVUL) model and to evaluate its appropriateness. The study consisted of two phases. Phase 1 involved the development of the IVUL model for univer-sal learning. The conceptual frameworks and theories in the documents and re-search studies on universal design for learning, intelligent learning and virtual learning were studied by the researchers. All main components were then synthe-sised to design the IVUL model. This process can be divided into three main steps: engagement, representation, and action and expression. Each step has sub-steps: access, build and internalise. However, the details of these are dependent on the main steps. The second component is the intelligent learning process, an important process of the model that drives learners to automatically learn by themselves. Artificial intelligence is used as a crucial component that promotes and supports each learner to meet learning goals and objectives according to the universal learning model. The third component is the virtual learning process, which results in learning through computer environments and the Internet. Phase 2 involved an evaluation of the appropriateness of the IVUL model, with in-depth interviews with 20 experts in education and digital technologies. The appropriate-ness of the model was evaluated using the 5-point Likert scale. The findings show that the designed IVUL model can be used for learning development at the highest level.

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.

PurposeQuestion-answering (QA) systems are being increasingly applied in learning contexts. However, the authors’ understanding of the relationship between such tools and traditional QA channels remains limited. Focusing on question-answering learning activities, the current research investigates the effect of QA systems on students' learning processes and outcomes, as well as the interplay between two QA channels, that is, QA systems and communication with instructors.Design/methodology/approachThe authors designed and implemented a QA system for two university courses, and collected data from questionnaires and system logs that recorded the interaction between students and the system throughout a semester.FindingsThe results show that using a QA system alone does not improve students' learning processes or outcomes. However, the use of a QA system significantly improves the positive effect of instructor communication.Originality/valueThis study contributes to the literature on learning and education technology, and provides practical guidance on how to incorporate QA tools in learning.

Purpose This study investigates socially shared regulation of learning (SSRL) in workplace team interactions to understand how professionals manage their learning processes during team meetings. It aims to identify what types of SSRL phases appear in workplace team interactions and which SSRL phases and team-regulation behaviors are associated with SSRL episodes that achieve small-scale adaptation. Design/methodology/approach A qualitative study grounded in socio-cognitive theory was conducted, using a combination of deductive and inductive qualitative content analysis. This approach integrated process mapping and descriptive analysis. The data were derived from 24 one-hour team meetings involving 10 workplace teams from the service, manufacturing and information and communications technology sectors. Findings SSRL was present in the team meetings, and it supported the teams in recognizing and adapting to situated challenges. Team-regulation behaviors, such as posing questions and assessing solutions regarding specific actions, contributed to small-scale adaptation in the regulation of the learning process. Research limitations/implications The study used video analysis and relied on its ability to capture the phenomenon. Furthermore, the small sample size, specific cultural context and the voluntary participation of the teams may have introduced bias into the findings. Practical implications The findings can guide customized training programs to improve team learning and performance by focusing on key SSRL phases and team-regulation behaviors essential for adaptability. Originality/value The study uses video data from team meetings to explore SSRL and its impact on successful collaboration.

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.

Under the influence of psychology and learning theories, education and the field of education have experienced significant changes; Thus, paying attention to the internal processes in learning provides a platform for dealing with topics such as “discussion”. The current research was conducted with the aim of identifying the components of discussion skills in the form of indicators, goals and dimensions and how to use them in architectural design education. The current research strategy is of qualitative type and for data analysis meta-composition and content analysis methods have been used consecutively. The results of the coding of documentary data and interviews in NVIVO software show that the components of discussion skills include 9 indicators, 3 goals and 2 dimensions. Indicators include: “participatory discussion”, “constructivist discussion”, “discussion connection and memory function”, “discussion link and accurate expression skills”, “discussion role in professional activities”, “discussion as an oral test”, “discussion as a design language”, “discussion as an interactive aspect of the design process” and “discussion as a visual test”. The purpose of the discussion has three basic reasons: first, to inform; second, to convince; third, to solve the problem. Finally, due to the special and unique nature of the visual sense in the field of architecture, if the two dimensions of “verbal discussion” and “visual discussion” are used in teaching architectural design at the same time based on the provided educational solutions, in addition to the attractiveness of learning and its potential cognitive benefits, it causes effective areas of learning development.

Background A significant challenge in school STEM education is making connections to real-life contexts beyond the school setting that are relevant and meaningful for students. Another important consideration is how out-of-school learning settings can be integrated to offer students a broad spectrum of self-regulated learning experiences across diverse contexts. Cooperation between in-school and out-of-school learning environments can foster mutual support of STEM learning, enhancing educational experiences within and beyond the classroom. In the present study, we conducted a questionnaire study using a pretest-posttest-follow-up design. We analyzed the predictive power of general learner characteristics influenced by the school environment and the integration of a museum visit into the classroom on the learning processes and learning effects of 409 10th-grade students. Results Findings indicate that students’ knowledge of metacognitive and motivational learning strategies significantly predicts learning process characteristics such as basic needs, perceived content relevance, and engagement. The intensity of this relationship decreases when prior individual interest is considered. Regarding medium-term learning effects three months after the museum visit, follow-up activities in the classroom and students’ knowledge of metacognitive and motivational learning strategies are predictive factors for self-perceived and objective knowledge, while individual interest is only predicted by prior individual interest. Conclusions The study highlights the close relationship between in-school and out-of-school STEM education. The key contribution of the study is to provide detailed insights into the different but interconnected facets of the relationship between STEM education in-school and out-of-school. It emphasizes that schools should equip learners for out-of-school learning by teaching them effective learning strategies to enhance the learning processes and outcomes of STEM museum visits. In addition, by shaping students’ prior knowledge and interest, schools contribute significantly to preparing learners for meaningful STEM experiences in out-of-school settings. Furthermore, it is important to follow up on the museum visits in the classroom to reinforce learning.

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.

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.