The impact of situated learning activities on technology university students' learning outcome

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hua-Huei Chiou
Keyword(s):  
Problem Solving ◽  
Child Development ◽  
University Students ◽  
Situated Learning ◽  
Real Life ◽  
Learning Outcome ◽  
Learning Activities ◽  
Live Video ◽  
Content Type ◽  
Real Life Problem

PurposeThe purpose of this study was to investigate 3D virtual reality (VR) situated activity, preschool reality and how the lecture teaching method affects technology university students' learning outcome.Design/methodology/approachThe quasi-experimental design is used. Participants are 144 students in three classes who all take Child Development Assessment course. Research instruments include 3D VR animation, preschool live video and child development as the case. One class attended 3D VR situated activities, another observed preschool live video and the other takes a traditional lecture class. Learning outcomes were measured by two paper-and-pencil tests in different times and with one performance assessment. In the writing test, mechanical and meaningful questions were included.FindingsMajor findings of this study are, first, that the auxiliary learning of 3D VR is better than the real-life situation. Second, situational learning activities can enhance participant performance in context-based questions. In summary, this study found that well-organized 3D VR animation is more effective than live situation learning, especially for context-based course content.Research limitations/implicationsThe lack of random assignment into test groups leads to non-equivalent test groups which can limit the generalizability of the results to other student population.Practical implicationsThe findings of this study suggest that teachers can gradually arrange learning activities, from 3D VR to a real applied workplace; situated learning activities are more likely to support the transfer knowledge to real-life problem solving.Originality/valueThe findings suggest that teachers in arranging the classroom context activities can be the first to use 3D VR before actual reality to avoid novices getting lost in the complicated real situations. If learning activities can be arranged gradually, from 3D VR to real applied workplace, situated learning activities can help students to deploy their newly acquired knowledge and skills in real-life problem solving.

scholarly journals Robots in special education: reasons for low uptake

2019 ◽  
Vol 13 (2) ◽  
pp. 59-69
Author(s):  
Maria Jose Galvez Trigo ◽  
Penelope Jane Standen ◽  
Sue Valerie Gray Cobb
Keyword(s):  
Special Education ◽  
Learning Disabilities ◽  
Design Methodology ◽  
Real Life ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Learning Activities ◽  
Autism Spectrum Conditions ◽  
Content Type ◽  
The Uk

Purpose The purpose of this paper is to identify the main reasons for low uptake of robots in special education (SE), obtained from an analysis of previous studies that used robots in the area, and from interviewing SE teachers about the topic. Design/methodology/approach An analysis of 18 studies that used robots in SE was performed, and the conclusions were complemented and compared with the feedback from interviewing 13 SE teachers from Spain and the UK about the reasons they believed caused the low uptake of robots in SE classrooms. Findings Five main reasons why SE schools do not normally use robots in their classrooms were identified: the inability to acquire the system due to its price or availability; its difficulty of use; the low range of activities offered; the limited ways of interaction offered; and the inability to use different robots with the same software. Originality/value Previous studies focussed on exploring the advantages of using robots to help children with autism spectrum conditions and learning disabilities. This study takes a step further and looks into the reasons why, despite the benefits shown, robots are rarely used in real-life settings after the relevant study ends. The authors also present a potential solution to the issues found: involving end users in the design and development of new systems using a user-centred design approach for all the components, including methods of interaction, learning activities and the most suitable type of robots.

Political skill in job negotiations: a two-study constructive replication

2015 ◽  
Vol 26 (1) ◽  
pp. 2-24 ◽  
Author(s):  
Marc Solga ◽  
Jaqueline Betz ◽  
Moritz Düsenberg ◽  
Helen Ostermann
Keyword(s):  
Problem Solving ◽  
Real Life ◽  
Predictor Variable ◽  
Political Skill ◽  
Negotiation Strategy ◽  
Content Type ◽  
Distributive Negotiation ◽  
Net Benefits ◽  
Negotiation Simulation ◽  
Negotiation Outcome

Purpose – This paper aims to investigate the effects of political skill in a specific workplace setting – the job negotiation. The authors expected negotiator political skill to be positively related to distributive negotiation outcome, problem-solving as a negotiation strategy to mediate this relationship and political skill to also moderate – that is amplify – the link between problem-solving and negotiation outcome. Design/methodology/approach – In Study 1, a laboratory-based negotiation simulation was conducted with 88 participants; the authors obtained self-reports of political skill prior to the negotiation and – to account for non-independence of negotiating partners’ outcome – used the Actor–Partner Interdependence Model for data analysis. Study 2 was carried out as a real-life negotiation study with 100 managers of a multinational corporation who were given the opportunity to re-negotiate their salary package prior to a longer-term foreign assignment. Here, the authors drew on two objective measures of negotiation success, increase of annual gross salary and additional annual net benefits. Findings – In Study 1, the initial hypothesis – political skill will be positively related to negotiator success – was fully supported. In Study 2, all three hypotheses (see above) were fully supported for additional annual net benefits and partly supported for increase of annual gross salary. Originality/value – To the authors' best knowledge, this paper presents the first study to examine political skill as a focal predictor variable in the negotiation context. Furthermore, the studies also broaden the emotion-centered approach to social effectiveness that is prevalent in current negotiation research.

scholarly journals Pengelolaan PAUD Berbasis Experiential Learning

2018 ◽  
Vol 6 (2) ◽  
pp. 101-106
Author(s):  
Alim Harun Pamungkas ◽  
Vevi Sunarti
Keyword(s):  
Child Development ◽  
Experiential Learning ◽  
Real Life ◽  
Learning Activities ◽  
Learning Activity ◽  
Social Emotional ◽  
Community Members ◽  
Model Learning ◽  
Childhood Education ◽  
Learning Principles

PAUD institutions are often interpreted as a place of learning for children who are only oriented to the skills and knowledge of reading, writing, counting, and drawing. PAUD institutions should focus on children's development related to religious and moral, physical, cognitive, language, social, emotional and artistic aspects. Thus the educational services provided by PAUD institutions must be able to facilitate all aspects of child development through enjoyable learning activities and help increase understanding of parents or the surrounding community about playing as a fun learning activity. Fun learning activities for early childhood need to be designed to help children get real life simulations in their daily activities. PAUD institution learning activities need to be adjusted to the stages of child development based on experiential learning model learning principles. On that basis, an activity is needed that facilitates the creation of learning experiences for managers and parents or community members in PAUD institutions about experiential learning.Keywords: Childhood Education (PAUD), Experiential Learning

A Review on the Importance of Machine Learning and Artificial Intelligence in Real Life Problem Solving

2020 ◽  
Vol 17 (9) ◽  
pp. 4336-4339
Author(s):  
D. S. V. Suma Priya ◽  
D. Esther Rani ◽  
A. Pavan Shankar Sai ◽  
A. Konda Babu ◽  
Durgesh Nandan
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Problem Solving ◽  
Concept Learning ◽  
Real Life ◽  
Learning System ◽  
Level System ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Real Life Problem

This paper clearly explains the concept, importance and main aim of machine learning and construction of the machine learning system. There are several ideas regarding this machine learning which are formed by a number of strategies. This effort leads to introduce many machine learning methods such as learning by commands, concept, learning by comparison, and learning by some algorithms. This article provides information about the main purpose of machine learning and its development. Machine learning is the primary aspect that promotes any system to have intelligence. One of its main applications is artificial intelligence. Machine learning is highly suited for complex level system representation. There are a number of machine learning concepts that leads to the integration of number of networks.

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