This document discusses classroom research with technology. It provides an overview of topics related to conducting educational research using technology, including literature reviews, theoretical frameworks, research design, instructional design, data collection, and analysis. Examples are provided of specific classroom research studies investigating the use of wikis, peer tutoring, and analyzing online discussion forum and learning management system activity log data. The document is intended as a guide for educators conducting research on integrating technology into classroom instruction.
2022_01_21 «Teaching Computing in School: Is research reaching classroom prac...eMadrid network
2022_01_21 «Teaching Computing in School: Is research reaching classroom practice?». Sue Sentance, director of the Raspberry Pi Computing Education Research Centre, University of Cambridge
Personalized Online Practice Systems for Learning ProgrammingPeter Brusilovsky
Computer programming is quickly transitioning from being just a key competency in computer and information science majors to being a desired skill for students in a wide range of fields. Yet, it is also one of the most challenging subjects to learn. While learning by doing is a critical component in mastering programming skills, neither the traditional educational process nor standard learning support tools provide sufficient opportunities for programming practice. In this talk, I will present our research on personalized programming practice systems for Java, Python, and SQL, which attempt to bridge this known gap in learning programming. A programming practice system engages students in practicing programming skills beyond a relatively small number of graded assignments and exams. To support learning by doing, an online practice system offers a range of interactive “smart content” such as program animations, worked examples, and various kinds of programming problems with an automatic assessment. The main challenges for online practice systems are to motivate students to practice and to guide them to the most appropriate smart content given their course goals and knowledge levels. In this talk, I will review a range of AI technologies, such as student modeling, navigation support, social comparison, and content recommendation, which support efficient programming practice. I will also discuss how personalized practice system could support COVID-19-influenced switch to online learning while maintaining an extensive level of feedback expected from an efficient learning process.
2022_01_21 «Teaching Computing in School: Is research reaching classroom prac...eMadrid network
2022_01_21 «Teaching Computing in School: Is research reaching classroom practice?». Sue Sentance, director of the Raspberry Pi Computing Education Research Centre, University of Cambridge
Personalized Online Practice Systems for Learning ProgrammingPeter Brusilovsky
Computer programming is quickly transitioning from being just a key competency in computer and information science majors to being a desired skill for students in a wide range of fields. Yet, it is also one of the most challenging subjects to learn. While learning by doing is a critical component in mastering programming skills, neither the traditional educational process nor standard learning support tools provide sufficient opportunities for programming practice. In this talk, I will present our research on personalized programming practice systems for Java, Python, and SQL, which attempt to bridge this known gap in learning programming. A programming practice system engages students in practicing programming skills beyond a relatively small number of graded assignments and exams. To support learning by doing, an online practice system offers a range of interactive “smart content” such as program animations, worked examples, and various kinds of programming problems with an automatic assessment. The main challenges for online practice systems are to motivate students to practice and to guide them to the most appropriate smart content given their course goals and knowledge levels. In this talk, I will review a range of AI technologies, such as student modeling, navigation support, social comparison, and content recommendation, which support efficient programming practice. I will also discuss how personalized practice system could support COVID-19-influenced switch to online learning while maintaining an extensive level of feedback expected from an efficient learning process.
This presentation advocates for one approach to integrating traditional, objectivist approaches with constructivist approaches in harmony with Cronje's Matrix (2006).
This presentation describes a study that explored the factors associated with more successful technological problem solving by junior secondary school pupils. It begins by exploring how technological problem solving might be concpetualised, before describing the methods employed and some of the key findings drawing on direct evidence of pupils' problem solving activity in the technology classroom.
Presentation Slides from ISSOTL 2015.
Bronnimann, J., West, D., Heath, D. & Huijser, H. (2015) Leveraging learning analytics for future pedagogies and scholarship. Paper presented at Leading learning and the scholarship of change: 12th annual ISSOTL conference, Melbourne, Australia.
An overview of design-based research, design experiments, educational design research. What it is, where it came from, and how to apply it to improve teaching and learning.
Presentation for researchED maths and science on June 11th 2016. References at the end (might be some extra references from slides that were removed later on, this interesting :-)
Interested in discussing, contact me at C.Bokhove@soton.ac.uk or on Twitter @cbokhove
I of course tried to reference all I could. If you have objections to the inclusion of materials, please let me know.
This presentation advocates for one approach to integrating traditional, objectivist approaches with constructivist approaches in harmony with Cronje's Matrix (2006).
This presentation describes a study that explored the factors associated with more successful technological problem solving by junior secondary school pupils. It begins by exploring how technological problem solving might be concpetualised, before describing the methods employed and some of the key findings drawing on direct evidence of pupils' problem solving activity in the technology classroom.
Presentation Slides from ISSOTL 2015.
Bronnimann, J., West, D., Heath, D. & Huijser, H. (2015) Leveraging learning analytics for future pedagogies and scholarship. Paper presented at Leading learning and the scholarship of change: 12th annual ISSOTL conference, Melbourne, Australia.
An overview of design-based research, design experiments, educational design research. What it is, where it came from, and how to apply it to improve teaching and learning.
Presentation for researchED maths and science on June 11th 2016. References at the end (might be some extra references from slides that were removed later on, this interesting :-)
Interested in discussing, contact me at C.Bokhove@soton.ac.uk or on Twitter @cbokhove
I of course tried to reference all I could. If you have objections to the inclusion of materials, please let me know.
Strategies for using technology to organize a promotion and tenure portfolioRebecca Reck
At most universities, promotion and tenure decisions are made based on performance in three categories: teaching, research, and service. During the review for promotion, the candidate presents a portfolio with evidence of their work in binders which are intended to tell the professional story of the candidate while on the tenure-track. Wankat and Oreovicz suggest creating a schedule for technical research and publishing over your entire probationary period and keeping a record of activities to ensure nothing is missed in your portfolio. This presentation provides tips and resources for maintaining and archiving artifacts for tenure and promotion.
ECTEL 2018 Presentation: Investigating the relationship between online activity, learning strategies and grades to make learning analytics-supported learning designs
Assessment Analytics - EUNIS 2015 E-Learning Task Force WorkshopLACE Project
This presentation is to introduce a discussion session at the 2015 EUNIS Congress workshop session of the E-Learning Task Force. The LACE Project is very briefly introduced, followed by an explanation of the presenter's view of learning analytics and a critique of some common themes. Assessment Analytics is presented as an antithesis to these themes and an assessment lifecycle model (used in the Jisc Electronic Management of Assessment Programme) is used to outline some ways in which assessment analytics can be realised, as stimulus for discussion.
Learning Design and ResearchMethods/StatisticsJames Dalziel
A presentation about the use of Learning Design in the teaching of Research Methods, especially related to Statistics. Part of the ALTC National Teaching Fellowship on Learning Design.
3 D Project Based Learning Basics for the New Generation Science Standardsrekharajaseran
This presentation is a part of the workshop presented at Griffin RESA Drive-In STEM Conference on September 28, 2016. It provides an introduction to the basics of three dimensional project based learning for STEM Education and New Generation Science Standards.
A research paper writing is a problem for every newcomer in the research field. This slide deck explains research writing in simple words and examples.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
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.
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.
South African Journal of Science: Writing with integrity workshop (2024)
Classroom Research
1. CLASSROOM RESEARCH
WITH TECHNOLOGY
Vasa Buraphadeja, PhD
Educational Technology, University of Florida
Support comes from
MSM&E Business and Economics Research Center
6. Media and Learning
Learning with media
(Kozma)
Media never influence learning
(Richard E. Clark)
Restructuring the Debate
(David Jonassen)
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
6
7. Mode of Learning
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
Face to Face
Blended
Learning
Online | e-
learning
7
8. Should we compare f-2-f with
online learning?
www.NoSignificantDifference.org
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
8
9. How should we ask (measure)
our students?
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
Google insights on “survey fatigue”
9
10. Want Data? Ask Students. Again and
Again (Lipka, 2011)
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
Challenges
Accountability movement
Straight-line respondents
Will answers make a difference?
How to entice students?
Solution
Share results & actions
Gift card, iPad?
Get them to involve
Not more than one out at once
10
11. < Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
Community of Inquiry
(Anderson, Rourke, Garrison, & Archer, 2001)
Teaching
Presence
Educational
Experience
Setting
Climate
Selecting
Content
Supporting
Discourse
Social
Presence
Cognitive
Presence
Open
Trust
Purposeful
Collaborative
responsibility
11
12. < Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
Community of Inquiry
(Anderson, Rourke, Garrison, & Archer, 2001)
Teaching
Presence
Educational
Experience
Setting
Climate
Selecting
Content
Supporting
Discourse
Social
Presence
Cognitive
Presence
Critical reflection
Systematic inquiry
Resolution
Metacognition
Assessment
12
15. Instructional Strategies as
Treatments
Posttest only
randomized
experiment
Pretest-posttest
nonequivalent
groups quasi-
experiment
Posttest only
non-experiment
R X O
R O
N O X O
N O O
X O
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
15
16. Summarizing and note
taking
Homework and practice
–peer feedback
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
16
18. Cooperative learning
–paired work
–group discussion with
role assignment
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
18
19. Setting objectives and
providing feedback
–project based
–learning contract
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
19
21. Midterm Evaluation
Swift & succinct: ask what
students like/dislike or
what they learn
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
S C
T
21
22. Midterm Evaluation
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
S C
T
22
23. Wikis in Plain English
mediaWikis _ Common Craft.flv
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
23
24. Research with Wikis
Using Wikis to Collaboratively Prepare for
Qualifying Examinations (DiPietro et al., 2010)
Clear instruction
Timeline
Expected outcome
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
S C
T
24
25. Research with Wikis
Data Collection in wikis
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
S C
T
25
26. Peer Tutoring
Enhancing the sense of community and learning
experience using self-paced instruction and
peer tutoring in a computer-laboratory course
(Buraphadeja & Kumnuanta, 2011)
freshmen / face-to-face /
Computer lab / non-credit
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
S C
T
= 14 weeks
3(1) + 3(1) + 4(1) + 1
26
27. Peer Tutoring
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
S C
T
= 14 weeks
3(1) + 3(1) + 4(1) + 1
27
28. Peer Tutoring
Self-Paced Learning + Interaction
= Learning Community
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
S C
T
Existing
New Design
Teaching
Strategy
Step-by-step
instruction
Self-paced instruction
Location of
instructor
In front of the
class
In front of the class
Responsibility
to learning
Teacher
Student
Implication in
classroom
management
Conservative &
dominating
Liberal &
self-regulating
http://www.flickr.com/photos/barretthall/
28
29. Peer Tutoring
32 sections + 56 students = 1,7XX students
220 (Control) + 57 (experimental)
Classroom Community Scale
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
S C
T
http://www.graphpad.com/quickcalcs/ttest1.cfm
29
30. Peer Tutoring
Descriptive statistics
Group x Gender ANOVA
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
S C
T
Group Gender N
Connectedness Learning Community
M SD M SD M SD
Control F 148 22.11 4.16 21.91 4.19 44.01 6.35
M 72 21.68 5.23 22.29 5.45 43.97 8.53
Total 220 21.97 4.53 22.03 4.63 44.00 7.12
Experimental F 32 23.91 4.34 24.31 4.58 48.22 7.95
M 25 23.76 4.31 22.44 5.75 46.20 7.90
Total 57 23.84 4.29 23.49 5.16 47.33 7.92
df F p
Connectedness
Within groups = 273
Group 1 7.858 0.005 **
Gender 1 0.410 0.523
Learning
Within groups = 273
Group 1 4.297 0.039 *
Gender 1 0.041 0.840
Community
Within groups = 273
Group 1 9.432 0.002 **
Gender 1 0.276 0.600
Note: The mean difference was significant: * <.05; ** <.01 30
31. Forum Discussion:
Social Network Analysis
An assessment of knowledge construction in an online
discussion forum: the relationship between content
analysis and social network analysis (Buraphadeja, 2010)
SNAPP
http://research.uow.edu.au/learningnetworks/seeing/snapp/index.html
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
S C
T
31
32. Activity Logs Data
Data for free: Using LMS activity logs to measure
community in online courses (Black et al, 2008)
“Non-invasive”
Classroom Community Scale[iv]
(Rovai, 2002)
Linear regression
LMS activity logs[dv]
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
S C
T
32
33. Activity Logs Data
Data for free: Using LMS activity logs to measure
community in online courses (Black et al, 2008)
log files were determined to be a predictor
of sense of community (Adj R2=.086, F(2,
64)=4.090, p=.021)
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
S C
T
33
34. Activity Logs BIS3315
Programming and Algorithms
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
S C
T
34
Online
Activity
Duration Mark
Allocations
Online
Videos
Throughout the semester 2
Quizzes Throughout the semester 4
Forum
Discussions
1 forum before midterm, 1 forum
after midterm
5
Assignments 3 assignments before midterm 7
Workshops 3 workshops after midterm 12
Total 30
35. Activity Logs BIS3315
Programming and Algorithms
Percentage of activities
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
S C
T
35
36. Activity Logs BIS3315
Programming and Algorithms
Comparison of overall and programming course activity logs
* Size of bubble denotes average logs per user in a given week
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
S C
T
36
5.60 13.40
18.31
26.66
24.16
22.86
20.34
18.66
17.46
20.98
23.22
19.53
18.04
12.61
15.49
18.91
15.54
18.00
19.07
14.72
16.46
16.53
14.31
75.33 22.17 73.33 15.29 37.93 26.37 49.81 67.33 32.74 22.23 17.96 8.12 22.63 52.92 28.35 38.96 36.74 30.88 16.36 42.21 19.38
-20000
0
20000
40000
60000
80000
100000
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
37. Activity Logs BIS3315
Programming and Algorithms
Comparison of overall and programming course activity logs
* Size of bubble denotes average logs per user in a given week
< Problem | Lit review | Theory & Framework | Research Design | Instructional Design | Data Collection | Analysis >
S C
T
37
5.60
13.40
18.31
26.66 24.16
22.86 20.34 18.66 17.46 20.98 23.22 19.53 18.04
12.61
15.49 18.91
15.54 18.00 19.07
14.72 16.46 16.53
14.31
75.33
22.17
73.33
15.29
37.93
26.37
49.81
67.33
32.74
22.23 17.96
8.12
22.63
52.92
28.35
38.96 36.74 30.88
16.36
42.21
19.38
1
10
100
1000
10000
100000
1000000
10000000
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
39. References
Anderson, T., Rourke, L., Garrison, D. R., & Archer, W. (2001). Assessing Teacher Presence
in a Computer Conferencing Context. Journal of Asynchronous Learning Networks, 5(2),
1–17.
Black, E. W., Dawson, K., & Priem, J. (2008). Data for free: Using LMS activity logs to
measure community in online courses. The Internet and Higher Education, 11(2), 65–70.
Buraphadeja, V, & Kumnuanta, J. (2011). Enhancing the sense of community and learning
experience using self-paced instruction and peer tutoring in a computer-laboratory
course. Australasian Journal of Educational Technology, 27(Special issue, 8), 1338–
1355.
Buraphadeja, V. (2010). An assessment of knowledge construction in an online discussion
forum: the relationship between content analysis and social network analysis.
University of Florida, Florida. Retrieved from http://0-
www.eric.ed.gov.opac.acc.msmc.edu/ERICWebPortal/detail?accno=ED522091
Clark, R. E. (1994). Media will never influence learning. Educational Technology, Research
and Development, 42(2), 21–29.
DiPietro, J. C., Drexler, W., Kennedy, K., Buraphadeja, V., Liu, F., & Dawson, K. (2010).
Using wikis to collaboratively prepare for qualifying examinations: an example of
implementation in an advanced graduate program. TechTrends, 54(1), 25–32.
Jonassen, D., Campbell, J., & Davidson, M. (1994). Learning with media: restructuring the
debate. Educational Technology, Research and Development, 42(2), 31–39.
Kozma, R. B. (1991). Learning with media. Review of educational research, 61(2), 179–211.
Lipka, S. (2011). Want data? Ask students. Again and again. The chronicle of higher
education. Retrieved from http://chronicle.com/article/Want-Data-Ask-Students-
Again/128537/
Rovai, A. P. (2002). Development of an instrument to measure classroom community. The
Internet and Higher Education, 5(3), 197–211.
39
Editor's Notes
(a) meaning of classroom research (b) research procedure (c) case studies base on research procedure
Bring the findings back to students
Never ask a question if you don’t want to hear the answer!
Learning with media should be explored on the macro level (where learning is situationally dependent) and on the micro level (where design should support, instead of manipulate, the learning process).
Design
Social presence: course design should establish a climate that encourage open communication, and create trust.
Facilitation of Discourse
Social presence: Sustain community by shifting to purposeful, collaborative communication
Direct instruction
Social presence: classroom should be collaborative and encourage students to assume responsibility of learning.
Design
Cognitive presence: with this social foundation, course should also establish critical reflection, discourse, and tasks that support systematic inquiry.
Facilitation of Discourse
Cognitive presence: Encourage and support the progression of inquiry
Direct instruction
Cognitive presence: inquiry moves to resolution and metacognitive awareness is develop.
Assessment: make sure that assessment is congruent with intended learning outcome
Classroom Community Scale (CCS) (Rovai, 2002), a 20-item easy-to-understand, reliable questionnaire, was used via Google form. Data from Google from were exported into SAS Enterprise Guide, and independent-samples t test was conducted.