A MIXED METHODS STUDY OF FACULTY VIEWS TOWARD BLENDED LEARNING guestccf139
This mixed methods study focused on faculty attitudes
toward blended learning at a major research university. The qualitative analysis showed different views on the pedagogy. The survey data revealed faculty with more favorable attitudes toward blended learning were more computer literate, were encouraged by colleagues, and reported favorable support services.
A Mixed Methods Study Of Faculty Views Toward Blended Learningguest85b018
This mixed methods study focused on faculty attitudes
toward blended learning at a major research university. The qualitative analysis showed different views on the pedagogy. The survey data revealed faculty with more favorable attitudes toward blended learning were more computer literate, were encouraged by colleagues, and reported favorable support services.
Research Presentation keynote (not yet result)Riniort Huang
This slide was made for the research program of Social Science Methodology course (PO300), BMIR program, Thammasat University, Thailand
Our current research status is under the process of data collection. Our questionnaire that show in this slide is the beta version and may not being use in our actual form of our questionnaire.
Enhancing Engagement and Promoting Peer-Assisted Learning through the Impleme...Blackboard APAC
The higher education classroom is rapidly expanding beyond the limitations posed by brick and mortar buildings into the wide world of cyberspace. Constant accessibility to online information has created unrealistic expectations for academics to respond on demand to student questions. Course related enquiries have significantly increased due to the emergence of e-Learning and mobile devices. Academics are under increasing pressure to juggle large teaching loads whist maintaining a productive research output. This has led to an increased uptake of peer-assisted learning activities whereby students teach each other. Many questions from students could be answered by their peers. It is widely recognised that students learn more efficiently from their peers because it encourages independent, inquiry-based learning. An anonymous asynchronous online discussion board was introduced into the Blackboard platform for second year Science undergraduates as the primary source of student-student and student-academic communication. The authors will present a case study highlighting user statistics, student survey data and what they have learned from the experience.
Delivered at Innovate and Educate: Teaching and Learning Conference by Blackboard. 24 -27 August 2015 in Adelaide, Australia.
Features, Technical Problems and Technical Support in Wimba Classroomahornton
Presented at the 2010 Creating Futures Through Technology Conference about a research study conducted to evaluate the perceptions of the use of Wimba Classroom.
A MIXED METHODS STUDY OF FACULTY VIEWS TOWARD BLENDED LEARNING guestccf139
This mixed methods study focused on faculty attitudes
toward blended learning at a major research university. The qualitative analysis showed different views on the pedagogy. The survey data revealed faculty with more favorable attitudes toward blended learning were more computer literate, were encouraged by colleagues, and reported favorable support services.
A Mixed Methods Study Of Faculty Views Toward Blended Learningguest85b018
This mixed methods study focused on faculty attitudes
toward blended learning at a major research university. The qualitative analysis showed different views on the pedagogy. The survey data revealed faculty with more favorable attitudes toward blended learning were more computer literate, were encouraged by colleagues, and reported favorable support services.
Research Presentation keynote (not yet result)Riniort Huang
This slide was made for the research program of Social Science Methodology course (PO300), BMIR program, Thammasat University, Thailand
Our current research status is under the process of data collection. Our questionnaire that show in this slide is the beta version and may not being use in our actual form of our questionnaire.
Enhancing Engagement and Promoting Peer-Assisted Learning through the Impleme...Blackboard APAC
The higher education classroom is rapidly expanding beyond the limitations posed by brick and mortar buildings into the wide world of cyberspace. Constant accessibility to online information has created unrealistic expectations for academics to respond on demand to student questions. Course related enquiries have significantly increased due to the emergence of e-Learning and mobile devices. Academics are under increasing pressure to juggle large teaching loads whist maintaining a productive research output. This has led to an increased uptake of peer-assisted learning activities whereby students teach each other. Many questions from students could be answered by their peers. It is widely recognised that students learn more efficiently from their peers because it encourages independent, inquiry-based learning. An anonymous asynchronous online discussion board was introduced into the Blackboard platform for second year Science undergraduates as the primary source of student-student and student-academic communication. The authors will present a case study highlighting user statistics, student survey data and what they have learned from the experience.
Delivered at Innovate and Educate: Teaching and Learning Conference by Blackboard. 24 -27 August 2015 in Adelaide, Australia.
Features, Technical Problems and Technical Support in Wimba Classroomahornton
Presented at the 2010 Creating Futures Through Technology Conference about a research study conducted to evaluate the perceptions of the use of Wimba Classroom.
The disconnect between data collection and analysis across sectors of academic institutions makes it challenging to incorporate data into curricular design. Understanding the factors related to student persistence and success is unlikely to occur by focusing only on one sector at a time. Facilitating evidence-based course design might begin with the creation of a tool that allows real-time exploration of data across sectors for integration into the traditional course/curricular design. Our paper describes how data from institutional, learning, and what we call “developmental” analytics can be incorporated into course and curricular design by using a purposefully built analysis tool that permits the exploration of student and course objects. This Browser of Student and Course Objects (BoSCO) is being built in a faculty driven-process and can be used as a bridge between the analytics space and the course/curriculum design environments.
Xavier Prat-Resina has a PhD in Physical Chemistry. He is a faculty member at the “Center for Learning Innovation” in the UofM Rochester campus. His interests are the design of web materials to enhance student learning and to analyze student and course data to optimize the academic curriculum.
-It takes institutional, learning and developmental data to assess a curriculum.
-BoSCO is an agile tool that may encourage teachers to use analytics for course and curricular design.
-Evidence-based course design requires the involvement of many sectors of the academic institution.
AECT 2019 Presentation titled Reaching Students Where They Are. An exploratory qualitative research study that investigated the lived experiences of students who provide synchronous online peer tutoring services in higher education.
A new blended learning approach is introduced which aims to empower students to be in control of their own learning.
The effectiveness of this method is compared with traditional means of delivery.
A presentation given to members of the School of Modern Languages at Durham University, exploring different ways of providing student feedback using an online learning environment such as Blackboard.
Research is an essential aspect of academic and scientific pursuits. Before embarking on any research project, researchers are required to present a well-structured document known as a research proposal. This document outlines the purpose, objectives, methods, and significance of the study to obtain approval and funding from institutions or organizations. This is an Example research proposal and should be only use as a guide.
Learner Analytics and the “Big Data” Promise for Course & Program AssessmentJohn Whitmer, Ed.D.
Presentation delivered at the San Diego State University "One Day in May" conference on May 22, 201 by John Whitmer, Hillary Kaplowitz, and Thomas J. Norman
Universities archive massive amounts of data about students and their activities. Students also generate significant amounts of “digital exhaust” as they use academic technologies. How can faculty and administrators use automated analysis of this data to save time and conduct targeted interventions to improve student learning?
The emerging discipline of Learner Analytics conducts analysis of this data to learn about student behaviors, predict students at-risk of failure, and identify potential interventions to help those students. In this presentation, we will discuss the contours of this discipline and review the state of research conducted to date. We will then look at several examples of Learner Analytics services and hear from California State University educators who are using these tools to help their students. Finally, we will suggest some immediate ways that Analytics can be conducted at San Diego State.
Presenters:
John Whitmer, California State University, Chico
Hillary Kaplowitz, California State University, Northridge
Thomas J. Norman, CSU Dominguez Hills
The disconnect between data collection and analysis across sectors of academic institutions makes it challenging to incorporate data into curricular design. Understanding the factors related to student persistence and success is unlikely to occur by focusing only on one sector at a time. Facilitating evidence-based course design might begin with the creation of a tool that allows real-time exploration of data across sectors for integration into the traditional course/curricular design. Our paper describes how data from institutional, learning, and what we call “developmental” analytics can be incorporated into course and curricular design by using a purposefully built analysis tool that permits the exploration of student and course objects. This Browser of Student and Course Objects (BoSCO) is being built in a faculty driven-process and can be used as a bridge between the analytics space and the course/curriculum design environments.
Xavier Prat-Resina has a PhD in Physical Chemistry. He is a faculty member at the “Center for Learning Innovation” in the UofM Rochester campus. His interests are the design of web materials to enhance student learning and to analyze student and course data to optimize the academic curriculum.
-It takes institutional, learning and developmental data to assess a curriculum.
-BoSCO is an agile tool that may encourage teachers to use analytics for course and curricular design.
-Evidence-based course design requires the involvement of many sectors of the academic institution.
AECT 2019 Presentation titled Reaching Students Where They Are. An exploratory qualitative research study that investigated the lived experiences of students who provide synchronous online peer tutoring services in higher education.
A new blended learning approach is introduced which aims to empower students to be in control of their own learning.
The effectiveness of this method is compared with traditional means of delivery.
A presentation given to members of the School of Modern Languages at Durham University, exploring different ways of providing student feedback using an online learning environment such as Blackboard.
Research is an essential aspect of academic and scientific pursuits. Before embarking on any research project, researchers are required to present a well-structured document known as a research proposal. This document outlines the purpose, objectives, methods, and significance of the study to obtain approval and funding from institutions or organizations. This is an Example research proposal and should be only use as a guide.
Learner Analytics and the “Big Data” Promise for Course & Program AssessmentJohn Whitmer, Ed.D.
Presentation delivered at the San Diego State University "One Day in May" conference on May 22, 201 by John Whitmer, Hillary Kaplowitz, and Thomas J. Norman
Universities archive massive amounts of data about students and their activities. Students also generate significant amounts of “digital exhaust” as they use academic technologies. How can faculty and administrators use automated analysis of this data to save time and conduct targeted interventions to improve student learning?
The emerging discipline of Learner Analytics conducts analysis of this data to learn about student behaviors, predict students at-risk of failure, and identify potential interventions to help those students. In this presentation, we will discuss the contours of this discipline and review the state of research conducted to date. We will then look at several examples of Learner Analytics services and hear from California State University educators who are using these tools to help their students. Finally, we will suggest some immediate ways that Analytics can be conducted at San Diego State.
Presenters:
John Whitmer, California State University, Chico
Hillary Kaplowitz, California State University, Northridge
Thomas J. Norman, CSU Dominguez Hills
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
2. Researchers
Ralph Gabbard, Indiana State University
and Indiana University School of Library
and Information Science
Andrew Dillon, Indiana University School of
Library and Information Science
Julia Newcome, Community College of
Beaver County
3. Presentation Overview
Brief overview of research Environment
Identification of first and second research
questions
Discussion of method and preliminary results
Identification of third research question
Discussion of method and preliminary results
Study limitations
Further Research
4. Research Background
Setting
– Community College of Beaver County
Two English Composition Classes
– Traditional class
– Online class
6. Class Dialogues
These dialogues are extremely
important and form the basis of the
online experience.
They were sent out as emails as well as
posted on the Web site.
Example
7. First and Second Research
Questions
What kinds of attitudes and perceptions
do students’ have about online classes?
How do students’ attitudes and
perceptions change over the course of
their learning experience?
8. Technology Acceptance
Model (TAM)
The developers of TAM were Fred D.
Davis, Richard Bagozzi and Paul
Warshaw
TAM is based on Ajzen and Fishbein’s
Theory of Reasoned Action (TRA)
10. TAM Questions (1)
Perceived Ease of Use
– I would find learning online easy
– Learning online would be easy for me
– I would find it easy to learn online
– It would be easy for me to become skillful
at learning online
11. TAM Questions (2)
Perceived Usefulness
– Enrolling in a distance class would improve
my performance in college
– Enrolling in a distance education class is
a(n) _____
– Enrolling in a distance education class
would increase my productivity in college
– I would find distance education useful in
college
12. TAM Questions (3)
Attitude Toward Using
– Enrolling in a distance education class is
a(n) _____ idea
– A distance education class would enhance
my effectiveness in college
– I ____ the idea of distance education
– Learning online would be _____
15. TAM Validity and Reliability
Morris and Dillon report that in the TAM
variable Perceived Usefulness has a
reliability of .92; the variable Perceived
Ease of Use with a reliability of .90; and
Attitude toward Using with a reliability of
.85
16. Third Research Question
How do student attitudes about the
effectiveness of the instructor and the
course compare between traditional
classes and online classes?
17. Student Disconfirmation
Model (SDM)
Two goals
– To satisfy and delight the customer
Delight is defined as the most extreme
form of satisfaction
Disconfirmation is defined as the
difference between perceived and
expected service quality
18. SDM Components
Divided the instructional experience into three
main components:
– Instructor
Knowledge, Organization, Fairness; Courteousness,
interesting,Enthusiasm
– Content/text/notes
Text, Examples, Handouts, Lecture (dialogues)
– Grading
Difficulty of tests, Material on tests, Writing assignments
19. SDM Questions (1)
Instructor Component
– The instructor’s knowledge of the subject matter
was:
– The instructor's fairness was:
– The instructor's courteousness was:
– The instructor's ability to make the course
interesting was:
– The instructor's enthusiasm was:
– The course material organization was:
20. SDM Questions (2)
Content Component
– The readability of the tests, quizzes, and
worksheets was:
– The usefulness of class examples was:
– The usefulness of handouts was:
– The usefulness of the lecture(dialogue) material
was:
– The amount of material covered in the course
was:
21. SDM Questions (3)
Grading Component
– The level of difficulty of tests, quizzes,
and worksheets was:
– The difficulty of the writing assignments
was:
– The type of material covered on the tests
was:
22. SDM Procedure
SDM-based questionnaire was given 3
times to both online and traditional class
students.
24. SDM Preliminary Data
Analysis
Comparison of Instructor Component
0 20 40 60 80 100
%Satisfied
%Delighted
%Satisfied
%Delighted
%Satisfied
%Delighted
Questionnaire
One
Questionnaire
Two
Questionnaire
Three
Percentage
Traditional
Online
25. SDM Preliminary Data
Analysis
0 20 40 60 80 100
Percentage
%Satisfied
%Delighted
%Satisfied
%Delighted
%Satisfied
%Delighted
Questionnaire
One
Questionnaire
Two
Questionnaire
Three
Comparsion of Content Component
Traditional
Online
26. SDM Preliminary Data
Analysis
0 20 40 60 80
Percentage
%Satisfied
%Delighted
%Satisfied
%Delighted
%Satisfied
%Delighted
Questionnaire
One
Questionnaire
Two
Questionnaire
Three
Comparison of Grading Component
Traditional
Online
27. SDM Preliminary Data
Analysis
0 20 40 60 80 100
Percentage
%Satisfied
%Delighted
%Satisfied
%Delighted
%Satisfied
%Delighted
Questionnaire
One
Questionnaire
Two
Questionnaire
Three
Online Components
Grading
Content
Instructor
28. SDM Preliminary Data
Analysis
0 20 40 60 80 100
Percentage
%Satisfied
%Delighted
%Satisfied
%Delighted
%Satisfied
%Delighted
Questionnaire
One
Questionnaire
Two
Questionnaire
Three
Traditional Components
Grading
Content
Instructor
29. Study Limitations
No randomization; students self
selected
TAM may be too simplistic
Questions about the validity of SDM
30. Further Research
More analysis of TAM data and
comparisons between semesters
More analysis of SDM data
31. Presentation can be found at
http://odin.indstate.edu/level1.dir/cml/ALN/aln.html
Examples of questionnaires can be found at
http://odin.indstate.edu/level1.dir/cml/ALN/tam.html
http://odin.indstate.edu/level1.dir/cml/ALN/sdm.html
Bibliography of Sources can be found at
http://odin.indstate.edu/level1.dir/cml/ALN/bib.pdf