Search Results (16)

Connectivist learning has emerged as a contemporary theory in technology-enhanced education, emphasising the importance of learners’ metacognitive skills to manage their learning within connected communities. Despite its growing relevance, limited empirical evidence discussing how learners’ metacognitive patterns interact with the development of learning communities. This study took the first step by empirically investigating the interplay between metacognition and social presence through reciprocal interactions on Bilibili, a learning social media platform in China. From a dataset of 4084 comments, 485 interactions were extracted and analysed using k-means clustering, followed by a chi-square test to explore associations with social presence interactions. The findings reveal that learners actively engage in metacognition processes, particularly planning, monitoring, and evaluating their learning, within connectivist environments. Furthermore, the dynamic exchange of ideas fosters continuous knowledge construction, supporting both lifelong and informal learning. Crucially, the interdependence between metacognition engagement and social presence not only underscores their role in achieving deep and sustainable learning but also highlights the evolving identity of online learners as network facilitators on social media platforms. Full article

This empirical paper explores South African preservice accounting teachers’ perceptions of ICT integration in secondary schools’ accounting curriculum practices. Since 2020, curriculum practices have been characterised by disruptions to traditional teaching and learning methods, including those brought on by the COVID-19 pandemic. Curriculum practices in accounting were not unnoticed. These sparked discussions about pedagogical changes, academic continuity, and the future of accounting curriculum practices. The theoretical framework used to guide the research process is connectivism. The theory is about forming connections between people and technology and teaching and learning in a connectivist learning environment. Connectivism promotes a lifelong learning perspective by training teachers and students to adapt to a fast-changing environment. An interpretive paradigm underpins this qualitative research paper. The data were collected from semi-structured interviews with five preservice accounting teachers about how they navigated pedagogy while switching to digital curriculum practices. Thematic analysis was used. The findings revealed that preservice accounting teachers faced challenges in ICT integration during school-based training, including limited resources, inadequate infrastructure, and insufficient hands-on training. While ICT tools enhanced learner engagement, barriers such as low digital skills and a lack of technical support hindered effective use. Participants highlighted a disconnect between theoretical training and classroom practice, prompting self-directed learning to bridge skill gaps. The study underscores the need for teacher education programs to provide practical, immersive ICT training to equip future educators for technology-driven classrooms. Full article

The rapid advancement of artificial intelligence has fundamentally transformed how knowledge is created, disseminated, and applied in problem-solving, presenting new challenges for educational models. This study introduces Intelligent Problem-Solving Learning (IPSL)—a capability-based instructional design framework aimed at cultivating learners’ adaptability, creativity, and meta-learning in AI-enhanced environments. Grounded in connectivism, extended mind theory, and the concept of augmented intelligence, IPSL places human–AI collaboration at the core of instructional design. Using a design and development research (DDR) methodology, the study constructs a conceptual model comprising three main categories and eight subcategories, supported by eighteen instructional design principles. The model’s clarity, theoretical coherence, and educational relevance were validated through two rounds of expert review using the Content Validity Index (CVI) and Inter-Rater Agreement (IRA). IPSL emphasizes differentiated task roles—those exclusive to humans, suitable for human–AI collaboration, or fully delegable to AI—alongside meta-learning strategies that empower learners to navigate complex and unpredictable problems. This framework offers both theoretical and practical guidance for building future-oriented education systems, positioning AI as a learning partner while upholding essential human qualities such as ethical judgment, creativity, and agency. It equips educators with actionable principles to harmonize technological integration with human-centered learning in an age of rapid transformation. Full article

The integration of gamification into digital learning environments is reshaping educational models, advancing towards more adaptive and personalized teaching evolution. However, within large Chinese corpora, the transition mechanism from passive participation to adaptive gamified learning remains underexplored in a systematic manner. This study fills this gap by utilizing LDA topic modeling and sentiment analysis techniques to delve into user comment data on the Bilibili platform. The results extract five major themes, which include multilingual task-driven learning, early-age programming thinking cultivation, modular English competency certification, cross-domain cognitive integration and psychological safety, as well as ubiquitous intelligent educational environments. The analysis reveals that most themes exhibit highly positive emotions, particularly in applications for early childhood education, while learning models that involve certification mechanisms and technological dependencies tend to provoke emotional fluctuations. Nevertheless, learners still experience certain challenges and pressures when faced with frequent cognitive tasks. In an innovative manner, this study proposes a theoretical framework based on Self-Determination Theory and Connectivism to analyze how motivation satisfaction drives cognitive restructuring, thereby facilitating the process of adaptive learning. This model demonstrates the evolutionary logic of learners’ cross-disciplinary knowledge integration and metacognitive strategy optimization, providing empirical support for the gamification learning transformation mechanism in China’s digital education sector and extending the research framework for personalized teaching and self-regulation in educational technology. Full article

Gamified education, as an emerging educational model, is gradually transforming traditional learning methods and has sparked widespread public discussion about its effectiveness and potential. According to connectivism, thinking and learning occur through the connections and interactions among a large number of units. Gamified education can serve as a form of connection, facilitating learners’ links and knowledge construction across different units through interactions, tasks, and feedback. This study aims to explore the public’s emotional attitudes toward gamified education, particularly analyzing the phenomenon of detachment and return regarding its educational function and essence. Through sentiment analysis and LDA topic modeling, three main themes were identified: the gamification and effectiveness of language learning, programmatic learning under temporal and spatial flexibility, and interactive entertainment and social learning. The study found that the public’s emotional attitude toward gamified education is diverse, reflecting the recognition of its potential in providing flexible learning and enhancing interactive experiences, as well as concerns regarding the entertainment-focused nature of educational functions. Additionally, based on the conclusions drawn, the study offers recommendations for educators and designers of gamified education to address issues such as distraction and excessive entertainment during the promotion of gamified education, helping them gain a deeper understanding of its evolution and challenges. Full article

Cognitive Load Theory (CLT) and the Cognitive Theory of Multimedia Learning (CTML) have long served as foundational frameworks in instructional design. However, their applicability to contemporary, technologically mediated learning environments remains under-theorized. This review critically examines CLT and CTML, focusing on their assumptions, empirical contributions, and current limitations in addressing the complexities of dynamic, AI-enhanced educational settings. The discussion is further enriched through engagement with complementary perspectives, including self-regulated learning, dual process theory, and connectivism. These frameworks illuminate conceptual convergences but also expose theoretical tensions, particularly regarding unresolved constructs such as germane cognitive load and the methodological challenges associated with real-time cognitive load measurement. In response to these gaps, this paper proposes the Cognitive Load-Aware Modulation (CLAM) strategy—a conceptual model designed to extend cognitive load principles in adaptive, ethically responsive learning environments. Synthesizing insights from cognitive psychology, educational technology, and affective computing, CLAM supports the design of personalized, data-driven instructional systems attuned to learners’ cognitive and emotional states. The model emerges not merely as a theoretical contribution, but as a future-oriented framework rooted in the critical synthesis of the reviewed literature. Its practical applications for real-world educational settings are outlined, and its empirical validation constitutes the next phase of our ongoing research project. Full article

In the modern world, there is a need to organize learning quickly and effectively. Due to the current economic climate, competition in the educational market, and demographic decline, there is an increasing interest in e-learning at all levels of education but especially in higher education. E-education provides the opportunity to attract students from abroad, those with disabilities, and those who cannot give up their professional work but want or should continue their education. This way of acquiring knowledge is of interest to various people who want to complete their higher education or gain a new profession. The article attempts to answer the following questions: which form of education is more attractive for students, stationary or remote; how do they assess the effects of both of these forms; which of them would they prefer in the event of further learning; and what suggestions do they make to improve distance learning? The article also contains a description of the project of changes undertaken by the State Vocational University in the Masovian Voivodeship (Poland) towards adapting to the requirements of digital reality. The aim of this article is to determine students’ preferences in terms of forms of studying and the university’s response to students’ needs in this area. It also discusses the specifics of the recent popularity of a new teaching model called connectivism. It presents what education based on this method is about and explains how it differs from previously functioning models such as behaviorism, cognitivism, and constructionism. The publication also contains a critique of connectivism and an attempt to indicate what risks and doubts arise from the dissemination of this type of education. Full article

Mobile learning (M-Learning) has become a popular and effective method of education that leverages the ubiquity of mobile devices. M-Learning has digitally transformed the process of teaching and learning. It has tremendous potential to empower all sections of society through education and training. This study presents a systematic literature review of M-Learning. The articles were retrieved from Scopus and Web of Science databases. After applying inclusion and exclusion criteria, a final selection of 161 articles published between 2016 and 2022 was included in the review. To analyze the articles, the researchers employed the TCCM (Theory, Context, Characteristics, Methods) framework, which facilitated addressing the research questions. This review identified various theories, such as behaviorism, constructivism, cognitivism, situated learning, problem-based learning, context awareness learning, socio-cultural theory, collaborative learning, conversational learning, lifelong learning, informal learning, activity theory, connectivism, navigation, and location-based learning, that are used to support and guide the implementation of M-Learning. In terms of context, developing countries contributed to 70.8% of the studies, while developed countries contributed to 29.1%. Further, a majority of the studies, 93%, involved students followed by faculty members and only two studies involved staff from higher education management. A total of 19 unique characteristic factors have been identified, such as personal, intention, attitude, usage, utility, ease of use, learnability, social, technological, pedagogical, anxiety, enjoyment, accessibility, knowledge, experience, trust, price, and habit. A quantitative research design was used in 90% of the studies, followed by mixed methods research design in 7% of the studies, and qualitative research design in only 3% of the studies. Further, this article synthesizes previous research findings and highlights gaps for future research. Overall, this review contributes to the understanding and advancement of M-Learning as a valuable educational platform. Full article

The COVID-19 global pandemic has caused disruptions around the world with devastating consequences socially and economically. Education was not spared. Schools and institutions of higher learning (IHLs) had to grapple with new sets of demands. With most countries forced into lockdown to stem the spread of the virus, some turned to technology-mediated learning to provide some kind continuity for learning to still take place. This concept paper will share some of the key learning points and strategies culled from experiences having to pivot almost overnight to embracing technology and new learning environments, which were sometimes remote or neglected in a milieu and culture that often prided itself in effective physical face-to-face interactions. This article will then draw upon how the Blended Learning approach, undergirded by Connectivism, was implemented in a local IHL. Examples of the different types of blended learning designs that were employed will be described alongside examples on how educators can distinguish between them to engage their learners in both modes. Full article

The COVID-19 pandemic has left more than 1.6 billion children and young people in 161 countries, nearly 80% of students enrolled in education systems globally, out of school. Many countries have resorted to online learning to reduce the repercussions of this shutdown. Many challenges have emerged, the most important of which are infrastructure and communication, and the knowledge of teachers and administrators of the necessary tools and processes are also key factors in providing online learning. In fact, nationwide lockdowns could have been an opportunity to test technological interventions for distance learning. Unfortunately, few systems have reached this point and are ready for implementation. The current study aimed to propose a strategy for distance education using the focus group method to gather the opinions of experts in the field of learning technologies and analyze their responses using text analysis software considering the McKinsey 7S Framework. The study found that the proposed strategy based on instructional design models that use OERs, i.e., blogs, audio recordings, and other resources, can improve the quality and efficiency of learning, provide students with skills, and achieve sustainable development goals in education in the Kingdom of Saudi Arabia. Full article

How do agronomists offering advisory support to farmers who practice agroecology construct agroecology-related knowledge, and how does experiential, social, and connectivist learning lead to knowledge creation and facilitate their personal and professional transformation? In this study, following a mixed research design, which combined thematic analysis and simultaneous regressions, and drawing on data from a sample of Greek farm advisors, we sought to answer these questions. Our analysis revealed that the engagement with the praxis of agroecology lays the basis for the development of advisors’ agroecological knowledge. This knowledge is then negotiated and socially reconstructed within the social fabric of agroecological communities. Connectivist knowledge, derived from multiple sources, is also validated within these communities. In its turn, agroecology-related knowledge leads advisors to alter their worldviews, thus transforming their professional and personal selves. These findings confirm that agroecological knowledge has both an experiential and a social dimension. Our results also disclose that advisors facilitate the osmosis of knowledge toward agroecological communities. From a theoretical point of view, our study highlights that by merging different learning theories, we can better depict how agroecological knowledge emerges and evolves. Full article

Online instruction has been one of the key delivery methods in the midst of the COVID-19 pandemic due to school closures around the globe. In accordance with the Malaysia Education Blueprint (2013–2025), maximizing the use of information/communication technology has been emphasized to scale up learning quality across Malaysia, including distance and self-paced learning. However, online learning in the country is at its infancy stage with raised issues, causing dropping-out and school leaving in higher education. To improve teaching and learning quality, this scoping review aimed to explore higher education students’ online instruction perceptions into two main components: research on online instruction perceptions followed by factors influencing online instruction perceptions. Using Arksey and O’Malley (2005)’s methodological framework, 61 articles related to students’ online instruction perceptions were identified from Google Scholar, ERIC, and Research Gate databases. In terms of theoretical articles, the results showed that cognitivism, connectivism, and constructivism were the most used theories of online instruction. On the basis of the empirical articles gathered, quantitative research design was the most utilized to collect students’ perspectives toward online instruction. As a whole, the findings revealed that motivation and satisfaction were mostly positively perceived by students, whereas, a lack of interaction was highly categorized as an unfavorable online instruction perception. Three main factors were identified: quality instruction, online interaction, and instructional and technical support. Future studies can focus on investigating teachers’ online instruction perceptions to achieve quality in higher education. Full article

Manufacturing systems under Industry 4.0, and their transition towards Industry 5.0, take into account the Quintuple Helix innovation model, associated with the sustainable development goals (SDGs) set by the UN and Horizon 2030, in which companies focus on operational efficiency in terms of the use and minimisation of resources for the protection of the environment. In this respect, the implementation of the circular economy model, which requires engineers to acquire appropriate competencies, enabling companies to establish this model at the manufacturing level. Moreover, competence has always been a priority for both the professional and the company. In this sense, connectivism has been called a learning theory for the digital era; this is the reason why a review of the state-of-the-art developments of this paradigm focused on engineering has been carried out. In this sense, the potential of the digital transformation in instruction to formulate an engineering model based on neuro-competences is of great interest, taking the connectivist paradigm as a methodological axis. To this end, a first bibliometric analysis has been carried out to identify the drivers on which to base the design of the neuro-competencies of the instructional engineering environment and the trend towards curriculum development under dual training models. The bibliographical research carried out on the connectivist paradigm has served to identify the trends followed to date in education within the subject area of engineering. These trends have not fully taken into account the leading role of the human factor within the socio-technical cyber-physical systems of sustainable manufacturing (SCSSM). The focus was more on the technology than on the adaptation of the uniqueness of the human factor and the tasks entrusted to him, which entails an additional complexity that needs to be addressed in both academic and professional contexts. In light of the foregoing, an improvement to the acquisition and management of competencies has been proposed to the academic, professional and dual engineering contexts. It is based on the transversal inclusion of the concept of neuro-competence applied to the competence engineering (CE) model, transforming it into the neuro-competence engineering (NCE) model. The foregoing provides a better match between the characteristics of the human factor and the uniqueness of the tasks performed by the engineer, incorporating activity theory (AT), the law of variety required (LVR), the connectivist paradigm and neuroscience as a transversal driver of innovation through fractality. This proposal enables a ubiquitous and sustainable learning model throughout the entire academic and professional life cycle of the engineer, placing it sustainably at the heart of the instructional and professional cyber-physical socio-technical system, thus complying with the SDGs set by the UN and Horizon 2030. Full article

The article deals with methods and methodology of pedagogical research in the didactics of informatics in the environment of the Massive Open Online Course (MOOC) based on the principles of connectivism, which offers open, non-formal, and community education. The MOOC was created as a support for the implementation of pedagogical research (primarily for final theses), specifically for solving a causal research problem, which is the most challenging research issue in pedagogical research. We found that the created MOOC is didactically effective for all study degrees. We also identified the parts of the course (which correspond to the stages of processing the experiment) causing the participants the biggest problems. The surprising finding was that the data understanding (data exploration phase) causes the problem the most. Its importance was underestimated when designing the MOOC. Although this phase is the least computationally demanding, it is very important since it is subsequently related to the correct determination of the null statistical hypotheses. Full article

The objective of the research is to know whether the use of technologies in the teaching of sciences, in the face of more traditional methods, influences gender differences, justifying the low enrolment of women in technical careers. The study was developed using a pretest–posttest quasi-experimental method through a nonequivalent control group with traditional methodology and common instruments such as the textbook, while in the experimental group, methodologies based on the management of ICT tools were made. We make a quantitative contrast of the impact on learning, considering the advantages and disadvantages of using technologies in science teaching, versus more traditional methods. The experimental group showed a higher motivation, being seen in the impact on better learning scores compared to the control group. We found that women scored higher than men in both pretest and posttest. We conclude by emphasizing the desirability of a transformation of science teaching methodologies by using ICT tools that allow more visual, intuitive, and collaborative work, with greater involvement of students. Full article