Search results

The COVID-19 pandemic has had a devastating impact on all facets of education. This led to educational institutions deploying blended and online systems for teaching and learning. The purpose of this study was to assess the role of blended learning in promoting quality education during the COVID-19 pandemic.

The qualitative research design was deployed in this study and enabled the researcher to collect data via in-depth interviews. Twenty-five (25) tertiary institutions accredited by the Ghana Tertiary Education Commission (GTEC) were randomly selected to participate in this study. The registrars of the institutions were purposively selected and served as the participants for the study. Thematic content analysis was used to analyze the data collected via the interview. Ethical considerations were adhered to during the study.

The study established that COVID-19 had a devastating effect on tertiary institutions; multiple technological and open-sourced systems were deployed for teaching and learning; blended learning was adopted to augment the traditional face-to-face mode of teaching and learning due to its ease of use, usefulness and accessibility as it was used for quizzes and assignments, accessing lecture notes, among others. Despite these, the deployment of technological and blended systems was met with challenges that somehow affected effective teaching, learning.

The study was limited to 25 tertiary educational institutions in Ghana. It was again limited to the COVID-19 era.

This research aids in understanding the extent of the impact of COVID-19 on teaching and learning and how blended learning is currently deployed and used in tertiary institutions in Ghana. The findings are relevant to policymakers and management of educational institutions as it informs them of the right method and tools to deploy for teaching and learning during pandemics.

As educational institutions globally are dealing with the effect of the COVID-19 pandemic, it is prudent to look into how tertiary institutions in Ghana deploy blended learning to facilitate teaching and learning. Thus, this paper is original as it fills the relevant literature gap in terms of scope, setting, methodology and findings.

Design an innovative Flipped classroom’s Delivery through virtual laboratory.

The fundamental framework of the present investigation is a Participatory Action Research (PAR) design. By merging the impetus of “action.” with the inclusiveness of “participation,” PAR establishes a “network” for collaborative teaching or research. PAR is pertinent to our research because it facilitates the participation of infrastructures and individuals in formulating a critical community. This community encourages critical self-reflection, promotes accountability, redistributes authority, and cultivates confidence in research. PAR fosters constructive transformation in educational environments by utilizing participants' combined insights and experiences to establish a structure for substantive dialogue and proactive measures.

As virtual laboratories are becoming essential in 21st-century science education, we found groundbreaking evidence that can support our novel approach to enhance the quality and equity in education. Our results show that virtual labs engage scientific goals and practices, develop scientific literacy, foster scientific inquiry and problem-solving, and promote metacognition. The effects of the virtual laboratory can develop high self-efficacy and positive attitudes among students. It improves students' laboratory performance, which we noted from laboratory activities, simulations, and long exam results.

The study offers groundbreaking account to depict epistemic fluency aided by virtual laboratory.

As universities find new ways to implement professional development programmes (PDPs), very few scholarly studies have focused on how lifelong learning could serve as a tool to enhance the professional development of staff. To address this knowledge gap, this study aims to examine how the integration of lifelong learning modes into PDPs in a university setting in South Africa could enable professional staff to advance their knowledge and skills. Additionally, the study explores how the different PDPs could be conceptualised by way of lifelong learning to enhance the professional knowledge and competences of staff.

Data were gathered from 41 professional staff in three campuses of the university. The narrative data gathered were evaluated using thematic analysis that consisted of a detailed process of identifying, analysing, organising, describing and reporting the themes that were generated from the data.

Findings suggest that when the university integrates lifelong learning approaches into its professional development programmes, it allows staff to develop their knowledge and skills through diverse learning approaches. When institutions adopt these diverse learning approaches, it enable staff to situate their learning needs along the different lifelong learning modes, negotiate suitable learning modes and flexible schedules with their heads of department, and learn the accepted norms and values of the university. These findings among others lead to further questions about how PDPs could be designed using the three lifelong learning modes to enable staff to prepare adequately for the future of work in higher education.

This study contributes to the scholarly discourse on lifelong learning by showing how higher education institutions could design PDPs along formal, informal and non-formal learning approaches to enhance the knowledge and skills of staff.

This study aims to bring together the available scattered knowledge about teaching and learning in Living Labs within higher education, and to explore their potential for supporting students’ sustainability-oriented transformative learning.

A literature review was conducted, applying a realist approach. A sample of 35 articles was analyzed qualitatively, mapping the data according to the realist constructs “context,” “intervention,” “mechanism” and “outcome” and using the constant comparison method for data analysis.

This study identified multiple characteristics of teaching and learning in sustainability-oriented Living Labs, namely, two socio-physical teaching and learning contexts, two pedagogical approaches as interventions therein, four learning processes as (potential) mechanisms and six sustainability-related learning outcomes. Two main challenges were also identified.

To the best of the authors’ knowledge, this is the first study that brings together the scattered results from previous studies into a comprehensive description of characteristics and challenges of teaching and learning in Living Labs as sustainability-oriented learning spaces in higher education. The findings can support educators in making scientifically grounded informed choices for teaching and learning in Living Labs and inform future empirical studies to examine when, how and why certain characteristics of teaching and learning in Living Labs, as identified in this study, can support sustainability-oriented transformative learning in higher education.

This study aims at understanding how higher education institutions (HEIs) can contribute to sustainable development, by designing their programmes for bringing about a transformative impact on communities and students, and also to examine what alternative pedagogical approaches could be used for that. In the past decades, HEIs have increasingly created social innovation (SI) programmes, as a way to achieve United Nations Sustainable Development Goals. These community-oriented and field-based programmes are difficult to ally with conventional classroom education. This study explores how these programmes could integrate the participatory approach and what would be the benefits. It also investigates the effectiveness of the experiential learning approach for teaching sustainability.

A case study method is used to document SI projects initiated by an HEI programme in rural India.

It was found that the participatory approach contributes to empowering communities and also benefits the students in terms of academic, professional and personal growth. Empirical findings show that experiential learning is an efficient method to teach sustainability. Ultimately, both pedagogical approaches are found to be mutually beneficial.

This study fills a gap in the literature, by providing empirical evidence on how HEI can implement innovative educational strategies such as participatory approach and experiential learning in their programmes towards teaching sustainability. A conceptual model for HEI interested in developing similar programmes is also proposed. To the best of the authors’ knowledge, this study is one of the first studies focusing on the context of Indian HEI.

This paper aims to identify and evaluate resolutions to key learning and teaching challenges in very large courses that involve practical mathematics, such as foundational finance.

A design-based research approach is used across three semesters to iteratively identify practical problems within the course and then develop and evaluate resolutions to these problems. Data are collected from both students and teachers and analysed using a mixed-method approach.

The results indicate that key learning and teaching challenges in large foundational finance courses can be mitigated through appropriate consistency of learning materials; check-your-understanding interactive online content targeting foundational concepts in the early weeks; connection points between students and the coordinator to increase teacher presence; a sustained focus on supporting student achievement within assessments; and signposting relevance of content for the broader program and professional settings. Multiple design iterations using a co-design approach were beneficial to incrementally improve the course and consider multiple perspectives within the design process.

This paper develops a set of design principles to provide guidance to other practitioners who seek to improve their own courses.

The use of design-based research and mixed-method approaches that consider both student and teacher perspectives to examine the design of very large, foundational finance courses is novel.

The principal aim of the research was to develop Interactive Mobile Learning Modules (IMLM) as an approach to innovative teaching practices in online distance education.

The study employed educational action research, using a quasi-experimental design catering to ninth-grade students (N = 104) attending a public high school in Manila.

Our research indicates that IMLM has a positive effect on student engagement. It provides students with a convenient, easily accessible, and engaging means of understanding Genetics concepts. The execution of this initiative has facilitated the emergence of novel ideas, heightened the ease of use, and advanced more equitable opportunities within the education domain. Thus, IMLM’s utilization has resulted in a favorable shift in conceptual understanding. It has been found to support learners' concept test performance, as evidenced by score gains and statistically significant improvement in understanding.

The study is limited with the development and utilization of mlearning strategy to accommodate learners in the public school system in a developing country.

The study addresses ongoing strategy and discussion to enrich online learning through the mlearning strategy.

The study accommodates inclusivity and equitable learning through personalize mlearning strategy.

The study is novel because it utilize mlearning as innovative approach to teaching genetics.

In the era of Industry 4.0, the relevance of webinar tutorials, a form of distance learning, is paramount. These tutorials can catalyze self-regulated learning, critical thinking and communication skills, especially for prospective and in-service teachers pursuing higher education. This paper aims to develop a conceptual framework and report the results of implementing a flipped classroom with whiteboard animation and modules. This innovative approach seeks to enhance students' self-regulation, critical thinking and communication abilities.

This study employs a mixed-methods approach. In the first phase, a hypothetical model and conceptual framework for the Flipped Classroom with Whiteboard Animation and Modules were developed to enhance self-regulation, critical thinking and communication skills. The resulting conceptual framework was then implemented through a quasi-experiment using a non-equivalent control group design involving 83 elementary school teachers enrolled in the Elementary School Science Education course (PDGK4202), divided into three treatment groups. Qualitative data were collected through observations of the learning process, documentation of student worksheet completion and interviews with students. Questionnaires and tests were used as instruments for quantitative data collection. Qualitative data were analyzed using descriptive methods, while quantitative data were evaluated using MANCOVA.

The findings demonstrate significant improvements in students' self-regulation, critical thinking skills and communication abilities after implementing the Flipped Classroom with Whiteboard Animation and Modules.

Some limitations in this study need to be recognized. These limitations include the specific sample type of elementary school teachers who went back to college to take science learning courses in elementary school. Teachers have various diversity that may affect the dependent variable, such as age, educational background, facilities, internet signal stability at their learning location and teaching experience. This study was conducted in a specific context (using the flipped classroom model at UT), so the results may need to be more generalizable to other educational contexts with different facilities, systems and policies. In addition, the measurement of self-regulation and communication skills, particularly with questionnaires, relies on self-report, which can be biased due to socially desirable responses or inaccurate self-assessment. Although the MANCOVA test showed significant results, it is possible that other variables not controlled for in this study (e.g. intrinsic motivation, social support from family or colleagues) also affected the independent variables.

This study emphasizes the importance of adapting webinar tutorials for Industry 4.0 and enhancing self-regulated learning, critical thinking and communication skills, particularly for working students and teachers. It offers a practical framework for educators and suggests ways to improve online learning materials. The implementation results show significant skill enhancement. These findings have practical implications for educators, institutions and instructional designers, guiding the development of effective distance learning strategies and curriculum improvements in the digital age.

The social implications of this study are noteworthy. In the context of Industry 4.0, adapting webinar tutorials to promote self-regulated learning, critical thinking and communication skills is essential not only for the educational sector but also for the broader society. It equips prospective and in-service teachers, who are pivotal in shaping future generations, with the necessary skills to navigate a rapidly changing digital landscape. Furthermore, enhancing self-regulation and critical thinking abilities among employed students contributes to a more informed and adaptable workforce, fostering societal resilience in the face of technological advancements.

The uniqueness of this study stems from the creative modification of a webinar tutorial, which specifically targets the urgent requirement for enhancing abilities among teachers and university students. The conceptual framework serves as a valuable tool for educators, and the findings of this study confirm its effectiveness in enhancing self-regulation, critical thinking abilities and communication proficiency. Furthermore, the recommendations offered also furnish practical insights to improve this model.

This paper provides practical advice for archaeologists and heritage specialists wishing to use ML approaches to identify archaeological features in high-resolution satellite imagery (or other remotely sensed data sources). We seek to balance the disproportionately optimistic literature related to the application of ML to archaeological prospection through a discussion of limitations, challenges and other difficulties. We further seek to raise awareness among researchers of the time, effort, expertise and resources necessary to implement ML successfully, so that they can make an informed choice between ML and manual inspection approaches.

Automated object detection has been the holy grail of archaeological remote sensing for the last two decades. Machine learning (ML) models have proven able to detect uniform features across a consistent background, but more variegated imagery remains a challenge. We set out to detect burial mounds in satellite imagery from a diverse landscape in Central Bulgaria using a pre-trained Convolutional Neural Network (CNN) plus additional but low-touch training to improve performance. Training was accomplished using MOUND/NOT MOUND cutouts, and the model assessed arbitrary tiles of the same size from the image. Results were assessed using field data.

Validation of results against field data showed that self-reported success rates were misleadingly high, and that the model was misidentifying most features. Setting an identification threshold at 60% probability, and noting that we used an approach where the CNN assessed tiles of a fixed size, tile-based false negative rates were 95–96%, false positive rates were 87–95% of tagged tiles, while true positives were only 5–13%. Counterintuitively, the model provided with training data selected for highly visible mounds (rather than all mounds) performed worse. Development of the model, meanwhile, required approximately 135 person-hours of work.

Our attempt to deploy a pre-trained CNN demonstrates the limitations of this approach when it is used to detect varied features of different sizes within a heterogeneous landscape that contains confounding natural and modern features, such as roads, forests and field boundaries. The model has detected incidental features rather than the mounds themselves, making external validation with field data an essential part of CNN workflows. Correcting the model would require refining the training data as well as adopting different approaches to model choice and execution, raising the computational requirements beyond the level of most cultural heritage practitioners.

Improving the pre-trained model’s performance would require considerable time and resources, on top of the time already invested. The degree of manual intervention required – particularly around the subsetting and annotation of training data – is so significant that it raises the question of whether it would be more efficient to identify all of the mounds manually, either through brute-force inspection by experts or by crowdsourcing the analysis to trained – or even untrained – volunteers. Researchers and heritage specialists seeking efficient methods for extracting features from remotely sensed data should weigh the costs and benefits of ML versus manual approaches carefully.

Our literature review indicates that use of artificial intelligence (AI) and ML approaches to archaeological prospection have grown exponentially in the past decade, approaching adoption levels associated with “crossing the chasm” from innovators and early adopters to the majority of researchers. The literature itself, however, is overwhelmingly positive, reflecting some combination of publication bias and a rhetoric of unconditional success. This paper presents the failure of a good-faith attempt to utilise these approaches as a counterbalance and cautionary tale to potential adopters of the technology. Early-majority adopters may find ML difficult to implement effectively in real-life scenarios.

Unlike many high-profile reports from well-funded projects, our paper represents a serious but modestly resourced attempt to apply an ML approach to archaeological remote sensing, using techniques like transfer learning that are promoted as solutions to time and cost problems associated with, e.g. annotating and manipulating training data. While the majority of articles uncritically promote ML, or only discuss how challenges were overcome, our paper investigates how – despite reasonable self-reported scores – the model failed to locate the target features when compared to field data. We also present time, expertise and resourcing requirements, a rarity in ML-for-archaeology publications.

This study aims to investigate the importance of lifelong learning in cultivating competent human capital, fostering long-term career sustainability and promoting gender equality in Bangladesh.

This study has used a qualitative research methodology with inductive reasoning. The researchers used purposive sampling to conduct semi-structured interviews with 34 male and female students at the graduate and undergraduate levels, in addition to six stakeholders. This research is grounded in the theoretical frameworks of human capital development theory and gender and development theory.

The results suggest that there exists a positive correlation between lifelong learning, sustainable career development and gender equality in the context of Bangladesh. Successfully executing strategies might also play a significant role in attaining Bangladesh’s sustainable development goals (SDGs).

Educational curriculum reform within institutions is urgently needed, necessitating the active involvement and influential contributions of actors and stakeholders. Implementing lifelong learning must also align with gender equality and SDGs.

This study addresses a significant gap in the existing literature by offering insights into the relationship between lifelong learning, career sustainability and gender equality within the specific context of Bangladesh. This study provides valuable contributions to scholars, stakeholders and policymakers while establishing a foundation for future research endeavors.