Collaborative platform to facilitate the design of learning modules. First Findings

2021 ◽  
Author(s):  
Oriel A. Herrera ◽  
Patricia Mejias ◽  
Alejandra Cid ◽  
Alejandro Guzman ◽  
Ivan Topp
Keyword(s):  
Learning Modules ◽  
Collaborative Platform

MODULE OF ICT-BASED LEARNING MATHEMATICS: RESPONSE OF STUDENTS IN THE LEARNING PROCESS

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Endang Istikomah
Keyword(s):  
Mathematics Learning ◽  
Student Response ◽  
Questionnaire Data ◽  
Research Subjects ◽  
Microsoft Excel ◽  
Learning Modules ◽  
Descriptive Research ◽  
Learning Module ◽  
Learning Mathematics ◽  
Learning Guide

The use of modules in learning aims so that students can learn independently without or with the guidance of the lecturer. There is no teaching material as a learning guide that meets the needs of students in IT-based mathematics learning courses in the form of LKM, Modules or textbooks.This study aims at finding and examining further the response of students to ICT-based mathematics learning modules. The form of this research is descriptive research. The research subjects of the even semester students are 2018/2019 in ICT-based mathematics learning courses. The instrument used was a student response questionnaire. Data collection techniques using a Likert scale through Google Form. The data was processed using Microsoft Excel 2010. The results showed that student’s responses to the ICT-based mathematics learning module as a whole were positive with an average on the material Aspects, the Interest Aspects of the module and the Module Aspects respectively of 92, 42%, 87 % and 93, 16%.. Thus it can be concluded that ICT-based mathematics learning using modules can be applied.

Promoting Hybrid Learning through an Open Source EBook Approach

2010 ◽  
Vol 14 (3) ◽  
Author(s):  
Xin Bai ◽  
Michael B. Smith
Keyword(s):  
Open Source ◽  
Building Blocks ◽  
Educational Technologies ◽  
Just In Time ◽  
Learning Modules ◽  
Learning Content ◽  
Long Run ◽  
E Learning ◽  
Teaching Efficiency ◽  
Content Design

Educational technology is developing rapidly, making education more accessible, affordable, adaptable, and equitable. Students now have the option to choose a campus that can provide excellent blended learning curriculum with minimal geographical restraints. We proactively explore ways to maximize the power of educational technologies to increase enrollment, reduce failure rates, improve teaching efficiency, and cut costs without sacrificing high quality or placing extra burden on faculty. This mission is accomplished through open source learning content design and development. We developed scalable, shareable, and sustainable e-learning modules as book chapters that can be distributed through both computers and mobile devices. The resulting e-learning building blocks can automate the assessment processes, provide just-in-time feedback, and adjust the teaching material dynamically based upon each student’s strengths and weaknesses. Once built, these self-contained learning modules can be easily maintained, shared, and re-purposed, thus cutting costs in the long run. This will encourage faculty from different disciplines to share their best teaching practices online. The end result of the project is a sustainable knowledge base that can grow over time, benefit all the discipline, and promote learning.

DESIGNING INTERACTIVE DIGITAL LEARNING MODULE IN BIOLOGY

TABULARASA ◽  
2015 ◽  
Vol 12 (2) ◽  
Author(s):  
Wenny Pintalitna ◽  
Herbet Sipahutar ◽  
Fauziyah Harahap
Keyword(s):  
Small Group ◽  
Group Testing ◽  
Quality Data ◽  
Digital Learning ◽  
Text Learning ◽  
Interactive Learning Environment ◽  
Learning Modules ◽  
Large Group ◽  
Learning Module ◽  
Medium Group

Interactive learning environment can substantially improve student learning and retention of key biology concepts. In this case report, we describe our approach for the design of interactive digital learning module to teach digestive system concepts in Grade 11 learners at SMAN 2 Balige with 180 subjects are selected according to total sampling method. The research method is the development with Dick and Carey model.  Subject of learning module assessment consists of two Biology matter experts, two learning module experts, one electronic media expert, three students for individual trials, ten students and teachers as small group testing, thirty students of SMAN 1 Berastagi for medium group testing, and 60 students of SMAN 2 Balige as large group testing. Quality data of product developed were collected using questionnaires. The results of developmental research showed that: (1) Module assessment by matter, learning modules and media experts were very decent criteria (88.30%, 93.98%, 88.25%); 2) Large group testing of interactive, electronic and text learning modules, respectively were 92.53%, 86.064%, 81.355% belong to very decent criteria; (3) Medium group testing respectively were 84.59%, 80.18%, 76.56% belong to decent criteria; (6) Small group testing respectively were 75.71%, 73.20%, 71.19% belong to decent criteria.

scholarly journals The Impact of Narrative Feedback, E-Learning Modules and Realistic Video and the Reduction of Misconception

2021 ◽  
Vol 11 (4) ◽  
pp. 158
Author(s):  
Abdul Halim ◽  
Elmi Mahzum ◽  
Muhammad Yacob ◽  
Irwandi Irwandi ◽  
Lilia Halim
Keyword(s):  
Biology Education ◽  
Free Fall ◽  
Percentage Reduction ◽  
Significant Treatment ◽  
Learning Modules ◽  
Physics Courses ◽  
Learning Platform ◽  
Quasi Experimental ◽  
E Learning ◽  
The Impact

Physics learning in universities utilized the Moodle-based e-learning media as an online learning platform. However, the effectiveness of remediating misconception using online media has not been widely researched. Therefore, this study was set to determine the level of misconception percentage reduction through the use of narrative feedback, the e-learning modules, and realistic video. The study was a quantitative approach with a quasi-experimental method involving 281 students who were taking basic physics courses in the Department of Physics, Chemistry, and Biology Education. The data collection used a three-tier diagnostic test based on e-learning at the beginning of the activity and after the treatment (posttest). The results of the data analysis with descriptive statistics show that the most significant treatment in reducing misconception percentage on the topic of free-fall motion was in the following order: narrative feedback, e-learning modules and realistic video. The misconception percentage reduction in the sub-concept of accelerated free- fall was effective for all types of the treatments.

scholarly journals Deep Learning of Sea Surface Temperature Patterns to Identify Ocean Extremes

2021 ◽  
Vol 13 (4) ◽  
pp. 744
Author(s):  
J. Xavier Prochaska ◽  
Peter C. Cornillon ◽  
David M. Reiman
Keyword(s):  
Deep Learning ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Space Distribution ◽  
Western Boundary ◽  
Learning Modules ◽  
Ocean Science ◽  
The Many ◽  
Future Work

We performed an out-of-distribution (OOD) analysis of ∼12,000,000 semi-independent 128 × 128 pixel2 sea surface temperature (SST) regions, which we define as cutouts, from all nighttime granules in the MODIS R2019 Level-2 public dataset to discover the most complex or extreme phenomena at the ocean’s surface. Our algorithm (ULMO) is a probabilistic autoencoder (PAE), which combines two deep learning modules: (1) an autoencoder, trained on ∼150,000 random cutouts from 2010, to represent any input cutout with a 512-dimensional latent vector akin to a (non-linear) Empirical Orthogonal Function (EOF) analysis; and (2) a normalizing flow, which maps the autoencoder’s latent space distribution onto an isotropic Gaussian manifold. From the latter, we calculated a log-likelihood (LL) value for each cutout and defined outlier cutouts to be those in the lowest 0.1% of the distribution. These exhibit large gradients and patterns characteristic of a highly dynamic ocean surface, and many are located within larger complexes whose unique dynamics warrant future analysis. Without guidance, ULMO consistently locates the outliers where the major western boundary currents separate from the continental margin. Prompted by these results, we began the process of exploring the fundamental patterns learned by ULMO thereby identifying several compelling examples. Future work may find that algorithms such as ULMO hold significant potential/promise to learn and derive other, not-yet-identified behaviors in the ocean from the many archives of satellite-derived SST fields. We see no impediment to applying them to other large remote-sensing datasets for ocean science (e.g., SSH and ocean color).

scholarly journals Antibiotic Stewardship for Nursing: Can E-learning Be a First Step?

2020 ◽  
Vol 41 (S1) ◽  
pp. s118-s118
Author(s):  
Mary T. Catanzaro
Keyword(s):  
Infectious Disease ◽  
Antimicrobial Stewardship ◽  
Antibiotic Stewardship ◽  
Online Survey ◽  
Interdisciplinary Approach ◽  
Healthcare Team ◽  
Learning Modules ◽  
E Learning ◽  
Unit Culture ◽  
Infection Preventionists

Background: The CDC and The Joint Commission have called for an interdisciplinary approach to antibiotic stewardship implementation. The healthcare team should consist of infectious disease physicians, pharmacists, infectious disease pharmacists, infection preventionists, microbiologists, and nurses. The scant literature to date has looked at nurses’ attitudes and beliefs toward participating in antibiotic stewardship and have identified several factors that contribute to the lack of uptake by nurses: lack of education around stewardship, poor communication among healthcare providers, and hospital or unit culture, among others. Additionally, nurses’ lack of interest in what would be more work or not within their scope of work was put forth as an additional factor by infection preventionists and pharmacists as a barrier to implementation. Method: An investigator-developed online survey was used to assess the usefulness of 3 investigator-developed educational e-learning modules that encompassed the role of nurses in antibiotic stewardship, pharmacy and laboratory topics related to antimicrobial stewardship, as well as the nurses’ attitudes toward their participation in such activities. Results: Participants took the survey after review of the 3 e-learning modules. The results indicate that, contrary to what pharmacists and infection preventionists thought, 82% of nurses felt they should contribute to and be part of the antimicrobial stewardship team. Additionally, after completing the modules, 73% felt more empowered to participate in stewardship discussions with an additional 23% wanting more education. 100% felt that they learned information that they could utilize in their everyday work. Barriers to implementation of stewardship activities on their unit included lack of education (41%), hospital or unit culture (27%), with only 4% citing they did not feel it was their job or that they had anything to contribute to a discussion. Also, 24% felt that there were no obstacles to participation. Conclusions: Surprisingly, most nurses who took this educational series and survey felt that they should be part of the antibiotic stewardship team. As cited previously from the literature, education and culture need to be addressed to overcome the nurses’ barriers to stewardship involvement. E-learning can provide an easy first step to educating nurses when time permits and can provide a good springboard for discussion on the units and with physicians and pharmacists. For a copy of the modules, please contact the author.Funding: NoneDisclosures: None

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