scholarly journals Development and validation of web-based STEAM online platform to improve learning quality in pre-service Chemistry teacher

2021 ◽  
Vol 11 (2) ◽  
pp. 513
Author(s):  
Elda Frediana Rety Kartika ◽  
Elfi Susanti VH ◽  
Nurma Yunita Indriyanti

STEAM learning was design to promote student’s interest in learning chemistry. Integration STEAM into chemistry learning is often seen as a challenge, such as not familiar and lack of knowledge on STEAM in chemistry. Coping, for this reason, a web-based STEAM online platform was designed. This paper reports the use of design-based research (DBR) to develop a web-based STEAM online platform. The paper focuses on two studies that step on the development and validation of the platform. In an attempt to implement theoretically designed learning environments in real-world classrooms, DBR was employed as an overarching framework of inquiry. The two cycles of DBR inquiry provide deep insights into the platform's readability, comprehensibility, and feasibility. The implementation of the framework is specified along with further implications for researchers and practitioners.

IFLA Journal ◽  
2021 ◽  
pp. 034003522110182
Author(s):  
Evans F Wema

This article reviews literature on the use of virtual learning environments by highlighting their potential and the challenges of introducing the same in Tanzania. It introduces the concept of virtual learning environments by demonstrating their applications to support teaching and learning. The article discusses the use of virtual learning environments in teaching information literacy courses by highlighting the success of using such tools in facilitating the teaching of information literacy courses to library users. In this review, special emphasis is placed on attempts by Tanzanian institutions of higher learning to introduce web-based teaching of information literacy and the challenges faced. The review reveals the need for Tanzanian institutions of higher learning to develop virtual learning environments to facilitate the teaching of information literacy courses to students and faculty so as to reach many of those who may not manage to attend the face-to-face information literacy sessions that are offered by librarians on a regular basis.


2012 ◽  
Vol 127 (5) ◽  
pp. 373-380 ◽  
Author(s):  
G. Parker ◽  
K. Fletcher ◽  
B. Blanch ◽  
L. Greenfield

2017 ◽  
Vol 26 (01) ◽  
pp. 123-124

Arnold CW, Wallace WD, Chen S, Oh A, Abtin F, Genshaft S, Binder S, Aberle D, Enzmann D. RadPath: A web-based system for integrating and correlating radiology and pathology findings during cancer diagnosis. Acad Radiol 2016 Jan;23(1):90-100 http://escholarship.org/uc/item/22x4021q Hravnak M, Chen L, Dubrawski A, Bose E, Clermont G, Pinsky MR. Real alerts and artifact classification in archived multi-signal vital sign monitoring data: implications for mining big data. J Clin Monit Comput 2016 Dec;30(6):875-88 https://link.springer.com/article/10.1007%2Fs10877-015-9788-2 Kalpathy-Cramer J, Zhao B, Goldgof D, Gu Y, Wang X, Yang H, Tan Y, Gillies R, Napel S. A comparison of lung nodule segmentation algorithms: methods and results from a multi-institutional study. J Digit Imaging 2016 Aug;29(4):476-87 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942386/ Moss TJ, Lake DE, Calland JF, Enfield KB, Delos JB, Fairchild KD, Moorman JR. Signatures of subacute potentially catastrophic illness in the ICU: model development and validation. Crit Care Med 2016 Sep;44(9):1639-48 https://insights.ovid.com/pubmed?pmid=27452809 Petousis P, Han SX, Aberle D, Bui AA. Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network. Artif Intell Med 2016 Sep;72:42-55 https://linkinghub.elsevier.com/retrieve/pii/S0933-3657(16)30106-3 Springer DB, Tarassenko L, Clifford GD. Logistic regression-HSMM-based heart sound segmentation. IEEE Trans Biomed Eng 2016 Apr;63(4):822-32 http://ieeexplore.ieee.org/document/7234876/


Author(s):  
Ahmed Haroun Sabry ◽  
Jamal Benhra ◽  
Abdelkabir Bacha

The present article describes a contribution to solve transportation problems with green constraints. The aim is to solve an urban traveling salesman problem where the objective function is the total emitted CO2. We start by adapting ASIF approach for calculating CO2 emissions to the urban logistics problem. Then, we solve it using ant colony optimization metaheuristic. The problem formulation and solving will both work under a web-based mapping platform. The selected problem is a real-world NP-hard transportation problem in the city of Casablanca.


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