E-Learn 2007 - PowerPoint Games in K-12 e-Learning EnvironmentsMichael Barbour
Barbour, M. K., Kinsella, J. & Rieber, L. P. (2007, October). PowerPoint games in K-12 e-learning environments. Paper presentation at the annual World Conference on E-Learning in Corporate, Government, Healthcare and Higher Education, Quebec City , QC.
There is no denying the success and popularity of WebQuests among teachers. WebQuests are very creative and very useful. For those of us interested in technology integration in the schools, this is a significant step in the right direction. Yet, WebQuests are instructivist examples of technology integration – they are web-enhanced forms of direct instruction (albeit some teachers have students create their own WebQuests). We consider constructing homemade PowerPoint games as a constructionist alternative to WebQuests. PowerPoint is nearly ubiquitous software tool and PowerPoint games are already a familiar part of many classrooms, though usually in the form of already existing games (such as Jeopardy) that a teacher modifies for instruction. This project is different in that it contends that a better use of class time for learning is to turn over the act of game design to the children themselves. In this project, students in social studies course delivered by a mid-western high school designed PowerPoint Games as a means to review for portions of their mid-term examination.
Presentation of Dr Mark Nichols, Director of Technology Enhanced Learning, The Open University UK for the European Distance Learning Week's second day webinar on "Quality in open, online and technology enhanced learning"- 8 November 2016
Recordings of the discussion are available: https://eden-online.adobeconnect.com/p4vvgr2g7g4/
https://eden-online.adobeconnect.com/p4cqdhsuxmj/
These are the slides from the talk I delivered in IATEFL Birmingham 2016. It aimed to inform professional development co-ordinators and in-house trainers about the findings of an action research project on what made 20 observee teachers' attitudes and reactions to observations become less defensive and more positive.
Why hiring a private expensive teacher? Between friends is better! Iron Math is a tool for anyone who wants to learn more, or share their math knowledge with their classmates. Numbers are now funnier; Iron Math offers students a network of video tutorials and tutoring made by their own classmates in real time, with some tools that will make teaching easier. Students and tutors get benefits, tutors can make video tutorials, and if they are good teaching they can earn money; if students learn more math, they will improve their academic performance and pass the university exams. “Friends teaching friends”.
E-Learn 2007 - PowerPoint Games in K-12 e-Learning EnvironmentsMichael Barbour
Barbour, M. K., Kinsella, J. & Rieber, L. P. (2007, October). PowerPoint games in K-12 e-learning environments. Paper presentation at the annual World Conference on E-Learning in Corporate, Government, Healthcare and Higher Education, Quebec City , QC.
There is no denying the success and popularity of WebQuests among teachers. WebQuests are very creative and very useful. For those of us interested in technology integration in the schools, this is a significant step in the right direction. Yet, WebQuests are instructivist examples of technology integration – they are web-enhanced forms of direct instruction (albeit some teachers have students create their own WebQuests). We consider constructing homemade PowerPoint games as a constructionist alternative to WebQuests. PowerPoint is nearly ubiquitous software tool and PowerPoint games are already a familiar part of many classrooms, though usually in the form of already existing games (such as Jeopardy) that a teacher modifies for instruction. This project is different in that it contends that a better use of class time for learning is to turn over the act of game design to the children themselves. In this project, students in social studies course delivered by a mid-western high school designed PowerPoint Games as a means to review for portions of their mid-term examination.
Presentation of Dr Mark Nichols, Director of Technology Enhanced Learning, The Open University UK for the European Distance Learning Week's second day webinar on "Quality in open, online and technology enhanced learning"- 8 November 2016
Recordings of the discussion are available: https://eden-online.adobeconnect.com/p4vvgr2g7g4/
https://eden-online.adobeconnect.com/p4cqdhsuxmj/
These are the slides from the talk I delivered in IATEFL Birmingham 2016. It aimed to inform professional development co-ordinators and in-house trainers about the findings of an action research project on what made 20 observee teachers' attitudes and reactions to observations become less defensive and more positive.
Why hiring a private expensive teacher? Between friends is better! Iron Math is a tool for anyone who wants to learn more, or share their math knowledge with their classmates. Numbers are now funnier; Iron Math offers students a network of video tutorials and tutoring made by their own classmates in real time, with some tools that will make teaching easier. Students and tutors get benefits, tutors can make video tutorials, and if they are good teaching they can earn money; if students learn more math, they will improve their academic performance and pass the university exams. “Friends teaching friends”.
The SAT is an entrance exam used by most colleges and universities to make admissions decisions. The SAT is a multiple-choice, pencil-and-paper test created and administered by the College Board
The purpose of the SAT is to measure a high school student's readiness for college, and provide colleges with one common data point that can be used to compare all applicants. College admissions officers will review standardized test scores alongside your high school GPA, the classes you took in high school, letters of recommendation from teachers or mentors, extracurricular activities, admissions interviews, and personal essays. How important SAT scores are in the college application process varies from school to school.
Supported experiments dissemination conference 2014: Pembrokeshire College pr...Sylvia Davies MCIPR
Supported experiments dissemination conference held 27 March 2014 by ColegauCymru / CollegesWales with the support of the Welsh Government and the active participation of further education colleges across Wales.
Using Analytics to Increase Student SuccessDavid Lindrum
Presentation from the 2014 New Directions in Online Learning Conference in San Diego. The gist is that faculty can see which students need help early on, intervene with those students, and thereby increase the number of students who successfully complete the course. All data has been anonymized.
Academic success is a huge contributor in the sustainable development of a country, and the rising number of students failing in their classes is a problem Imperial Academy has been trying to address. One of the ways to combat this problem is to identify the factors linked to students at risk of failure and to employ early and appropriate interventions.
Using Imperial Academy's data, Team Braving deployed an application that predicts whether a student is likely to fail at least one subject based on identified risk factors. This application allows Imperial Academy to better allocate their resources through targeted implementation of their designed interventions for students at risk of failing.
SAT Test Prep, SAT Preparation Online - Test Prep PunditsTest Prep Pundits
Powerful teachers, Energetic tutors together make a pundit. Our Pundits are Experienced and Extensively Trained in SAT/ACT Prep. Every student is different.
Using Assessment Data for Educator and Student GrowthNWEA
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This presentation reviews major topics to be considered when using assessment data in implementing a school's program of educator and student growth and evaluation. By attending this workshop, participants will improve their assessment literacy, learn how to improve student achievement and instructional effectiveness through thoughtful data use, and discuss common issues shared by educators when using data for evaluative purposes.
Communicating in the digital classroom: Comparing experiences online and face...Bindi Clements
Language classes held online in a ‘digital’ classroom provide opportunities for bringing together teachers and students from different locations and cultures, and online classes allow for language practice outside the traditional face-to-face classroom setting. However, significant pedagogical challenges arise when using videoconferencing for language teaching, particularly in terms of enabling spontaneous communication between learners. It can be difficult to ensure that all students are engaged and have opportunities for speaking practice, and for teachers to assess the progress of individual learners.
This research investigates some of these challenges in the context of classes provided to adult language learners. Wall Street English students follow a blended programme, combining self-paced online study with teacher-led classes. Some students can choose to attend these teacher-led classes either face-to-face or online, and as both modes use almost identical class content, this allows for the direct comparison of digital and face-to-face classrooms. Using questionnaire and interview data, this research compares student and teacher experience in both modes. In addition, as students are assessed during the classes, the numeric data provided by teacher assessment of students’ language, communication and interaction skills will be analysed and compared. In particular, the hypothesis that students have fewer opportunities to demonstrate their language skills, and the impact this has on assessment, will be investigated.
The results will be relevant for online teachers, teacher trainers and course designers, and will highlight the importance of awareness of the affordances for learner interactivity offered by the digital classroom. The conclusion is that teachers will need to develop specific skills in order for learners to engage with and fully participate in online classes, and class materials should be developed with a range of opportunities for online interaction in mind.
This is the complete presentation that was discussed at the April 23, 2016 League of Women Voters Forum on Standardized Testing from the MCS Superintendent
Similar to Data Mining to Predict Student Success @A_L_T #altc (20)
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Delivering Micro-Credentials in Technical and Vocational Education and TrainingAG2 Design
Explore how micro-credentials are transforming Technical and Vocational Education and Training (TVET) with this comprehensive slide deck. Discover what micro-credentials are, their importance in TVET, the advantages they offer, and the insights from industry experts. Additionally, learn about the top software applications available for creating and managing micro-credentials. This presentation also includes valuable resources and a discussion on the future of these specialised certifications.
For more detailed information on delivering micro-credentials in TVET, visit this https://tvettrainer.com/delivering-micro-credentials-in-tvet/
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Data Mining to Predict Student Success @A_L_T #altc
1. Data Mining to Predict
Student Success
in a Large Class
Perry Samson
College of Engineering
University of Michiganr
samson@umich.edu
and Hybrid @pjsamson
3. What Affects Student Learning?
Intrinsic Influences
• Before class
• During class
• After class
Extrinsic Influences
• History
• Motivation
• Wellness
4. MONITORING STUDENT PARTICIPATION
Type notes here
Type Notes
synchronized to
slides
Pose/review
questions
Browse
slides
Annotate
slides
Bookmark
slides
Note confusion
Learning Analytics: Data Collection
6. MONITORING STUDENT PARTICIPATION
LMS
University
db
SIS
Other
Vendors
Learning
Analytics
Database
Questions
Posed
Confusion
Activity
Answers
Notes
Attendance
Bookmarks
Lecture
Capture
Learning Analytics: Data Collection
7. Question #1
What Aspects of Student
Participation Affect
Student Outcomes?
8. Learning Analytics: Extrinsic Affects
Lesson #1
Student outcomes
are modestly related
to the students’
motivations.
100
90
80
70
60
50
Low
Interest
in
Some
Interest
Medium
Interest
Exam 1
Exam 2
Exam 3
High
Interest
Truly
Excited
by
Exam Grades
Level of Interest
10. 100
90
80
70
60
50
Average Exam Grades
Learning Analytics: Extrinsic Affects
Physical State Emotional State
Exam 1
Exam 2
Exam 3
Average Physical State
100
90
80
70
60
50
Avergae Exam Grade
Exam 1
Exam 2
Exam 3
Average Emotional State
Lesson #2
Student outcomes are somewhat related to student wellness
.
11. Learning Analytics: Intrinsic Effects
160
140
120
100
80
60
40
20
0
Number of Students
In the classroom From my school residence From elsewhere Missing
12. In a Hybrid Class Outcomes are Unrelated to Location
Lesson #3
Student outcomes
are unrelated to
whether students
participate face-to-face
or remotely.
100
90
80
70
60
50
0 1-2 3-5 >5
Average Exam Grade
Number of Times Participating
Remotely
Exam 1
Exam 2
Exam 1
Learning Analytics: Intrinsic Effects
13. Learning Analytics: Intrinsic Effects
Outcomes ARE Related to In-Class Participation
Lesson #4
Student outcomes
are related to their
level of
participation* in
class.
14. Learning Analytics: Intrinsic Effects
Outcomes ARE Related to In-Class Performance
Lesson #5
Student outcomes
are related to
their performance
in class.
16. Learning Analytics: Intrinsic Effects
Lesson #6
Student outcomes
are related to the
number of slides
for which they take
notes.
100
95
90
85
80
75
70
65
Exam Grades
Exam 1
Exam 2
Exam 3
Number of Slides Containing Notes
17. Question #2
DO HIGHER GPA
STUDENTS BEHAVE
DIFFERENTLY THAN
LOWER GPA STUDENTS?
18. Participation vs. GPA
Learning Outcomes are Related to Incoming GPA
100
90
80
70
60
50
40
1.0 2.0 3.0 4.0
Exam Grades
GPA
EXAM1
EXAM2
EXAM3
19. Participation vs. GPA
Participation as a Function of Incoming GPA
Fraction of Questions Attempted
Fraction Correct of Gradeable Questions
Ratio of Percent Correct to Percent Attempted
1.0
0.8
0.6
0.4
0.2
0.0
Avgerage Fraction
Incoming GPA
Lesson #7
Students with
lower incoming
GPA answered
about 70% of
questions in
class versus
85% for higher
GPA students.
20. Participation vs. GPA
Participation as a Function of Incoming GPA
Lesson #8
Students with
lower incoming
GPA took notes
on 5X fewer
slides.
3600
3200
2800
2400
2000
1600
1200
800
400
0
180
160
140
120
100
80
60
40
20
0
Avg. Num. Slides
w/Notes
Avg. Words
Typed per Class
<3.0 3.0-3.6 >3.6
Number of Words Typed
Number of Slides w/Notes
Grade Point Average
21. Participation vs. GPA
Participation as a Function of Incoming GPA
20
18
16
14
12
10
8
6
4
2
0
Avergae Days Participated by Location
Participated in Classroom
Participated Remotely
Missed class
Incoming GPA
Lesson #9
Students with
lower were far
more likely to
participate
remotely than
higher GPA
students.