scholarly journals Analisis Hasil Belajar Efektif Dari Penerapan Smart Learning

2018 ◽  
Vol 1 (1) ◽  
pp. 33-40
Author(s):  
Rafi Hidayat

A smart city is an urban place where information technology and digital communication are used to increase knowledge and utilize technology, intellectual resources and real to improve the quality of life. One of the main areas of smart cities is intelligent learning and education, which is a new concept of technology-enhanced learning. Measuring the effectiveness of smart education depends on measuring the desired learning outcomes. This paper suggests the main key features that must be considered when developing learning analysis tools to measure and assess each subject's learning outcomes. And it shows the relationship between an intelligent learning environment, learning outcomes and learning analysis.

2021 ◽  
Vol 5 (1) ◽  
pp. 15-35
Author(s):  
Chancey Bosch ◽  
Trevor Ellis

Technology-enhanced learning continues to provide opportunities for increased interventions in educational programing. For teacher education programs, novelty pales in comparison to providing meaningful instruction and enduring outcomes. The use of avatars has provided integration of research evidence that increases intended behaviors; however, research is lacking on teacher self-efficacy change via an avatar experience. The purpose of this study is to examine the relationship between teacher self-efficacy and avatar use in a teacher education program. A relational study using both parametric and non-parametric designs for four different samples indicated a significant relationship between avatar intervention and teacher self-efficacy in classroom management, instructional strategies, and student engagement. The sample from a student teaching course, which had a limited number of participants, provided mixed results. More studies need to include experimental designs and isolation of variabilities in the avatar model.


2017 ◽  
Vol 9 (4) ◽  
pp. 1-20 ◽  
Author(s):  
Diogo Casanova ◽  
António Moreira

This paper presents a comprehensive model for supporting informed and critical discussions concerning the quality of Technology-Enhanced Learning in Blended Learning programmes. The model aims to support discussions around domains such as how institutions are prepared, the participants' background and expectations, the course design, and the learning process. The research that supported the design of this model was framed by a Grounded Theory method, combining different approaches to empirical data collection with a review of evaluation models on aspects of the quality of Online and Distance Learning. Throughout the paper, arguments are made that Higher Education institutions need to be more critical with regard to the use of Technology-Enhanced Learning, and to support it as a counterpart to face-to-face learning and teaching. The model provides a framework for teachers in Higher Education to reflect and discuss the quality of Technology-Enhanced Learning in their Blended Learning programmes.


2019 ◽  
Vol 25 (2) ◽  
pp. 957-983 ◽  
Author(s):  
Nina Bergdahl ◽  
Jalal Nouri ◽  
Uno Fors

Abstract With the digitalisation of education increasing, the relationship between student engagement in Technology-enhanced Learning (TEL) and digital skills has remained largely unexplored. There is a strong consensus that engagement is necessary for students to succeed in school. We hypothesised that students reporting high and low levels of general engagement display differences in terms of their engagement in TEL, and that students’ digital skills correlate with their engagement in and disengagement in TEL, which in turn is related to their learning outcomes. We used statistical tests to explore the relationship between the students’ (N = 410) general engagement and engagement in TEL, and investigated how digital skills were related to engagement and disengagement in TEL. We found significant correlations between students’ digital skills and engagement in TEL, showing that the possession of high levels of digital skill is related to engagement in TEL. Interestingly, digital skills were not related to disengagement. This suggests that students reporting both high and low levels of digital skills disengage to some extent when learning with technologies. We also identified variables reflecting both engagement and disengagement in TEL that predict student performance as measured via final grades, implying that in order to understand and support students who learn with technologies, a broader understanding of the factors influencing engagement and disengagement is key.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
L. Baumann-Birkbeck ◽  
S. Anoopkumar-Dukie ◽  
S. A. Khan ◽  
M. J. Cheesman ◽  
M. O’Donoghue ◽  
...  

Abstract Background Pharmacy practice education requires the development of proficiencies and an understanding of clinical microbiology. Learning in this area could be delivered using practical laboratory exercises, or potentially, simulation-based education. Simulation has previously successfully enhanced learning in health professional education. The current global climate due to COVID-19 has further highlighted the important role of technology-enhanced learning in delivering outcomes that meet the requisite learning objectives of a course. The aim of the present study was to compare the impact of a commercially available virtual microbiology simulation (VUMIE™) with a traditional wet laboratory (wetlab) on learner knowledge, skills and confidence in a second-year integrated pharmacotherapeutics course for Bachelor of Pharmacy students. Methods A randomised, crossover study was employed to determine whether the simulation intervention (VUMIE™) improves learning outcomes (knowledge, skills and confidence) of pharmacy students, when compared to a traditional wetlab intervention. Each student completed three 1–2 h length sessions, for both the wetlab and VUMIE™ interventions (6 sessions total). Data was collected using surveys deployed at baseline (pre-interventions), post-intervention 1 or 2 (VUMIE™ or wetlab) and endpoint (post-interventions 1 and 2). Statistical analysis was conducted using SPSS Statistics 25 and Instat™ software. Results Response rates were approximately 50% at initial survey and approximately 25% at endpoint survey. VUMIE™ produced higher post-intervention knowledge scores for the multiple-choice questions compared to the wetlab, however, the highest score was achieved at endpoint. Both interventions produced statistically significant differences for mean scores compared to baseline (pre-VUMIE™ and wetlab) across the domains of knowledge, skills and confidence. VUMIE™ produced higher post-intervention mean scores for knowledge, skills and confidence compared to post-intervention mean scores for the wetlab, however there was no statistical significance between the mean score for the two interventions, thus the VUMIE™ activity produced learning outcomes comparable to the wetlab activity. Conclusion These findings suggest VUMIE™ provides similar effects on students’ knowledge, skills, and confidence as a wetlab. The simulation’s implementation was not cost-prohibitive, provided students with a physically and psychologically safe learning environment, and the benefit of being able to repeat activities, supporting deliberate practice.


2020 ◽  
Vol 10 (3) ◽  
pp. 1042 ◽  
Author(s):  
Juan L. Rastrollo-Guerrero ◽  
Juan A. Gómez-Pulido ◽  
Arturo Durán-Domínguez

Predicting students’ performance is one of the most important topics for learning contexts such as schools and universities, since it helps to design effective mechanisms that improve academic results and avoid dropout, among other things. These are benefited by the automation of many processes involved in usual students’ activities which handle massive volumes of data collected from software tools for technology-enhanced learning. Thus, analyzing and processing these data carefully can give us useful information about the students’ knowledge and the relationship between them and the academic tasks. This information is the source that feeds promising algorithms and methods able to predict students’ performance. In this study, almost 70 papers were analyzed to show different modern techniques widely applied for predicting students’ performance, together with the objectives they must reach in this field. These techniques and methods, which pertain to the area of Artificial Intelligence, are mainly Machine Learning, Collaborative Filtering, Recommender Systems, and Artificial Neural Networks, among others.


Author(s):  
Christian Grund Sørensen

The aim of this paper is to discuss the relationship between content, context and connectivity and suggesting a model of Dynamic Interplay. This is done in relation to a specific learning environment concerning cultural mediation, in casu the Kaj Munk Case of the EuroPLOT-project (an EU-supported research project under EACEA). In the development of this project several categories of content have been implemented in technology enhanced learning tools. These have been designed to support learning in different contexts and eventually the role of the connectivity of these learning objects and tools is discussed. Focus is here on The Kaj Munk Study Edition, The Conceptual Pond, Immersive Layers Design, and Generative Learning Objects (GLOs) which are applications affiliated with the Munk case. This paper explores the persuasive potential of the interplay between the different applications for the benefit of learning and reflection and a model of Dynamic Interplay is introduced. This is done with a primary inspiration from rhetoric particularly in the shape of the Aptum model and a focus on kairos. Possible benefits of this approach are discussed and several questions for further research are suggested.


2020 ◽  
Vol 2 (1) ◽  
pp. 54-55
Author(s):  
Claudio Aguayo

Digital technology has proven to enhance learning outcomes across educational sectors and contexts, yet critical challenges remain, notably: minimising the decay of digital interventions over time; and, achieving widespread learning outcomes in diverse, multicultural and complex settings (Aguayo, 2016; Dunn & Marinetti, 2008; Hennessy et al., 2019). One ambitious solution to these challenges may lie in a theoretical concept coming from biology called ‘autopoiesis’. Autopoiesis, literally meaning self-making, defines living organisms as self-organising units capable of adapting to unpredictable changes in their environments while maintaining internal coherence over time (Maturana & Varela, 1980). The Santiago school of cognition (Luisi, 2016), founded on the concept of autopoiesis, considers this adaptive capacity of living organisms towards their environment as an ‘intelligent’ and ‘cognitive’ process. But most importantly, it establishes that human experience and cognition are unique to every individual and context (Thompson, 2007). This has profound epistemological consequences when designing digital technology in education, as the dominant ‘one solution fits all’ paradigm becomes invalid; on the contrary, digital technology and their associated educational processes on learners ought to provide as many (intelligent) solutions as individuals and contexts there are (Aguayo, 2018, 2019). Hence, from the perspective of the Santiago school, the notion of ‘user experience design’ (UX design) is inadequate.   Based on the above, Aguayo (2018) proposes that digital technology can be embedded with autopoietic properties found in living systems during the design of the ‘user interface’ (UI design), potentially creating ‘intelligent’ technology-enhanced learning tools, platforms, affordances, experiences and/or systems that can, in theory, self-adapt to changing conditions and socio-culturally different learners over time. This means that during the process of creating digital technology tools and affordances – or ‘systems’, the focus should be on developing adaptable and flexible interfaces that can actively facilitate the learning process and learning experience on users – a process termed here as ‘interface experience design’ or IX design. Such an epistemological view of technology-enhanced learning design becomes important given that learners bring into the learning process complex and unpredictable socio-cultural and emotional backpacks that determine their own learning experience in unique ways. Ultimately, the aim behind the notion of IX design is to promote a more efficient and adaptable type of design, development and use of technology-enhanced learning systems over time. In this session, the underlying theoretical and conceptual arguments from the Santiago school of cognition for reconsidering UI/UX design in technology-enhanced learning will be introduced and explored in relation to promoting adaptable and long-lasting meaningful learning processes on diverse audiences.


2019 ◽  
Vol 4 (2) ◽  
pp. 200
Author(s):  
Satria Dharma Putra ◽  
Sambas Ali Muhidin

This study aims to analyze the relationship between teacher performance and the quality of student learning outcomes. The research method used survey method. Technique of collecting data using questioner of likert model. Respondents are 20 Management Business Teachers at Private Vocational High School in Bandung City. Data analysis technique using Rank Spearman. The results showed that teacher performance and quality of learning outcomes have a positive and significant relationship. Thus the performance of teachers relates to the quality of learning outcomes.ABSTRAKPenelitian ini bertujuan untuk menganalisis hubungan kinerja guru dan mutu hasil belajar siswa. Metode penelitian menggunakan metode survey. Teknik pengumpulan data menggunakan angket model likert . Responden adalah 20 Guru Bisnis Manajemen di Sekolah Menengah Kejuruan Swasta di Kota Bandung. Teknik analisis data menggunakan Rank Spearman.  Hasil penelitian menunjukkan kinerja guru dan mutu hasil belajar memiliki hubungan yang positif dan signifikan. Dengan demikian kinerja guru berhubungan terhadap mutu hasil belajar.


Author(s):  
Mrs. Johanna McMullan

The efficiency of lecturing or large group teaching has been called into question for many years. An abundance of literature details the components of effective teaching which are not provided in the traditional lecture setting, with many alternative methods of teaching recommended. However, with continued constraints on resources large group teaching is here to stay and student’s expect and are familiar with this method. Technology Enhanced Learning may be the way forward, to prevent educators from “throwing out the baby with the bath water”. TEL could help Educator’s especially in the area of life sciences which is often taught by lectures to engage and involve students in their learning, provide feedback and incorporate the “quality” of small group teaching, case studies and Enquiry Based Learning into the large group setting thus promoting effective and deep learning.


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