The effectiveness of blended learning in basic life support training among nursing students: A systematic review

Coronavirus 2019 (COVID-19) is a global health problem and poses challenges in various fields, including education. Some training programs such as Basic Life Support (BLS) training need to adapt to new policies, which are physical and social distancing. Blended learning by combining face-to-face with online training, may help achieve BLS competencies for health care professionals, including nursing students. This systematic review was conducted to explore blended learning effectiveness in BLS training for nursing student populations. The electronic search strategy was conducted from PubMed, CINAHL, Embase, Web of Science, and Cochrane for the years 2010 to 2020 with full text in English. This review followed the PRISMA guidelines. The initial search yielded 240 studies, and six of those studies were eventually included. The results reported there were three blended learning models appeared, including face to face learning combined with e-learning website, combined with video-based, and combined with computer-based simulations. With an intervention duration of four hours to two weeks, there was an indication of several improving outcomes, including skills, knowledge, attitudes, self-efficacy, problem-solving abilities, and willingness to perform resuscitation. Furthermore, the skill outcome is significantly more effective in blended learning of face-to-face models combined with the e-learning website and combined with computer-based simulations. The knowledge outcome parameter likely is the most effective from all of three blended learning models. These findings imply that BLS training needs to use blended learning models by modifying the training modules, facilities, and infrastructure as consideration.   Keywords: Basic life support, blended learning, nursing students, systematic revie

Computer Programming Effects in Elementary: Perceptions and Career Aspirations in STEM

The development of elementary-aged students’ STEM and computer science (CS) literacy is critical in this evolving technological landscape, thus, promoting success for college, career, and STEM/CS professional paths. Research has suggested that elementary- aged students need developmentally appropriate STEM integrated opportunities in the classroom; however, little is known about the potential impact of CS programming and how these opportunities engender positive perceptions, foster confidence, and promote perseverance to nurture students’ early career aspirations related to STEM/CS. The main purpose of this mixed-method study was to examine elementary-aged students’ (N = 132) perceptions of STEM, career choices, and effects from pre- to post-test intervention of CS lessons (N = 183) over a three-month period. Findings included positive and significant changes from students’ pre- to post-tests as well as augmented themes from 52 student interviews to represent increased enjoyment of CS lessons, early exposure, and its benefits for learning to future careers

What learning analytics based prediction models tell us about feedback preferences of students

Learning analytics (LA) seeks to enhance learning processes through systematic measurements of learning related data and to provide informative feedback to learners and educators (Siemens & Long, 2011). This study examined the use of preferred feedback modes in students by using a dispositional learning analytics framework, combining learning disposition data with data extracted from digital systems. We analyzed the use of feedback of 1062 students taking an introductory mathematics and statistics course, enhanced with digital tools. Our findings indicated that compared with hints, fully worked-out solutions demonstrated a stronger effect on academic performance and acted as a better mediator between learning dispositions and academic performance. This study demonstrated how e-learners and their data can be effectively re-deployed to provide meaningful insights to both educators and learners

A multi-modal study into students’ timing and learning regulation: time is ticking

Purpose This empirical study aims to demonstrate how the combination of trace data derived from technology-enhanced learning environments and self-response survey data can contribute to the investigation of self-regulated learning processes. Design/methodology/approach Using a showcase based on 1,027 students’ learning in a blended introductory quantitative course, the authors analysed the learning regulation and especially the timing of learning by trace data. Next, the authors connected these learning patterns with self-reports based on multiple contemporary social-cognitive theories. Findings The authors found that several behavioural facets of maladaptive learning orientations, such as lack of regulation, self-sabotage or disengagement negatively impacted the amount of practising, as well as timely practising. On the adaptive side of learning dispositions, the picture was less clear. Where some adaptive dispositions, such as the willingness to invest efforts in learning and self-perceived planning skills, positively impacted learning regulation and timing of learning, other dispositions such as valuing school or academic buoyancy lacked the expected positive effects. Research limitations/implications Due to the blended design, there is a strong asymmetry between what one can observe on learning in both modes. Practical implications This study demonstrates that in a blended setup, one needs to distinguish the grand effect on learning from the partial effect on learning in the digital mode: the most adaptive students might be less dependent for their learning on the use of the digital learning mode. Originality/value The paper presents an application of embodied motivation in the context of blended learning

Systemic intervention for computer-supported collaborative learning

This paper presents a systemic intervention approach as a means to overcome the methodological challenges involved in research into computer-supported collaborative learning applied to the promotion of mathematical problem-solving (CSCL-MPS) skills in schools. These challenges include how to develop an integrated analysis of several aspects of the learning process; and how to reflect on learning purposes, the context of application and participants' identities. The focus of systemic intervention is on processes for thinking through whose views and what issues and values should be considered pertinent in an analysis. Systemic intervention also advocates mixing methods from different traditions to address the purposes of multiple stakeholders. Consequently, a design for CSCL-MPS research is presented that includes several methods. This methodological design is used to analyse and reflect upon both a CSCL-MPS project with Colombian schools, and the identities of the participants in that project

Exploring the landscape of reflection

open4noopenFrison, Daniela; Fedeli, Monica; Tino, Concetta; Minnoni, ErikaFrison, Daniela; Fedeli, Monica; Tino, Concetta; Minnoni, Erik

Old Apprehensions, New Anxieties: A Study of Student 'Psychological Cost' in Traditional and Distance Education

Two hundred and four students enrolled at a Greek university in the Economics department were asked to estimate the costs for participation in traditional and in distance education. These costs included 'psychological cost', which this paper reports on. 'Psychological cost', such as stress and anxiety for each educational method, was estimated by students on the assumption that they would hire (1) an assistant to facilitate learning and using a PC in the case of distance learning, and (2) an independent expert to help the student understand courses and to overcome any stress associated with class participation in the case of traditional learning. It was hypothesised that the psychological cost for each educational procedure would decline with experience. It was found that for university students following a distance learning course, psychological cost declined with experience and familiarisation with elearning. However, psychological cost did not decrease with experience in the case of students following a traditional course. The latter finding may be partly due to constantly changing professors, classmates and expectations, and to the cyclical nature of academic stress in the traditional setting. In conclusion, it is suggested that a mixture of distance learning and traditional learning may be the soundest strategy, allowing the student to profit from the advantages of both distance and traditional higher education methods.

An investigation into the adoption of CDIO in distance learning

The Conceive, Design, Implement and Operate Initiative (CDIO) uses integrated learning to develop deep learning of the disciplinary knowledge base whilst simultaneously developing personal, interpersonal, product, process and system building skills. This is achieved through active and experiential learning methods that expose students to experiences engineers will encounter in their profession. These are incorporated not only in the design-build-test experiences that form a crucial part of a CDIO programme but also in discipline focused studies. Active and experiential learning methods are, of course, more difficult to incorporate into distance education. This paper investigates these difficulties and the implications in providing a programme that best achieves the goals of the CDIO approach through contemporary distance education methods. First, the key issues of adopting the CDIO approach in conventional oncampus courses are considered with reference to the development of the CDIO engineering programmes at the University of Liverpool. The different models of distance based delivery of engineering programmes provided by the Open University in the UK, and Deakin University and the University of Southern Queensland in Australia are then presented and issues that may present obstacles to the future adoption of the CDIO approach in these programmes are discussed. The effectiveness and suitability of various solutions to foreseen difficulties in delivering CDIO programmes through distance education are then considered. These include the further development, increased use and interinstitutional sharing of technology based facilities such as Internet facilitated access to laboratory facilities and computer aided learning (CAL) laboratory simulations, on campus workshops, and the development of a virtual engineering enterprise