An invited talk about potential multimodal indicators for assessing idea improvement in group knowledge building. Trieste, Italy. Early thoughts; comments welcomed.
Presentation at Knowledge Building Summer Institute 2013 in Mexico. August 7th http://ikit.org/si2013/PROGRAM.pdf
In Knowledge Building (KB) research, the metadiscourse concept has been taken in use more inrecent years. The concept seems to have been used mainly to inform the academic discourse and thecollective advancement of ideas. Still, there have been few attempts to define the concept in acoherent way. In this paper I discuss whether we need to expand our understanding of the concept inorder to fully understand knowledge building discourse. By using a comprehensive definition of metacommunication as a theoretical framework, I demonstrate how different kinds of “talk about talk” are present in knowledge building discourse in selected KB research papers, while not beingexplicitly described as metadiscourse. It is suggested that several new discourse elements should beincluded in the metadiscourse concept; these are explanations of intentions in the knowledge building discourse, discussions of the relationship between the participants and questions of clarification that may better capture the meta-level in the “ongoing flow” of the knowledge buildingdiscourse. In addition, one should focus more on the discourse relationship.
Models of Parsing: Two-Stage Models
Models of Parsing: Constraint-Based Models
Story context effects
Subcategory frequency effects
Cross-linguistic frequency data
Semantic effects
Prosody
Visual context effects
Interim Summary
Argument Structure Hypothesis
Limitations, Criticisms, and Some Alternative Parsing Theories
Construal
Race-based parsing
Good-enough parsing
Parsing Long-Distance
Dependencies
Summary and Conclusions
Test Yourself
When people speak, they produce sequences of words. When people listen or read, they also deal with sequences of words. Speakers systematically organize those sequences of words into phrases, clauses, and sentences.
The study of syntax involves discovering the cues that languages provide that show how words in sentences relate to one another.
The study of syntactic parsing involves discovering how comprehenders use those cues to determine how words in sentences relate to one another during the process of interpreting sentence.
Parsing means to breaking down a sentence into its component parts so that the meaning of the sentence can be understood.
This can either be the category of words (Nouns, Pronouns, verbs, adjectives. Etc.)
Or other elements such as verbs tense (present, past, future)
In a phrase structure tree, the labels, like NP, VP, and S, are called nodes and the connections between the different nodes form branches.
The patterns of nodes and branches show how the words in the sentence are grouped together to form phrases and clauses.
Effects of Network Structure, Competition and Memory Time on Social Spreading...James Gleeson
Talk at the Computational Social Science workshop at the Conference on Complex Systems #CCS16, Amsterdam, 21 Sep 2016, http://cssworkshop.oii.ox.ac.uk/
study or concern about what kinds of things exist
what entities there are in the universe.
the ontology derives from the Greek onto (being) and logia (written or spoken). It is a branch of metaphysics , the study of first principles or the root of things.
LAK19 - Towards Value-Sensitive Learning Analytics DesignBodong Chen
LAK19 Full Paper. Abstract: To support ethical considerations and system integrity in learning analytics, this paper introduces two cases of applying the Value Sensitive Design methodology to learning analytics design. The first study applied two methods of Value Sensitive Design, namely stakeholder analysis and value analysis, to a conceptual investigation of an existing learning analytics tool. This investigation uncovered a number of values and value tensions, leading to design trade-offs to be considered in future tool refinements. The second study holistically applied Value Sensitive Design to the design of a recommendation system for the Wikipedia WikiProjects. To proactively consider values among stakeholders, we derived a multi-stage design process that included literature analysis, empirical investigations, prototype development, community engagement, iterative testing and refinement, and continuous evaluation. By reporting on these two cases, this paper responds to a need of practical means to support ethical considerations and human values in learning analytics systems. These two cases demonstrate that Value Sensitive Design could be a viable approach for balancing a wide range of human values, which tend to encompass and surpass ethical issues, in learning analytics design.
Presentation at Knowledge Building Summer Institute 2013 in Mexico. August 7th http://ikit.org/si2013/PROGRAM.pdf
In Knowledge Building (KB) research, the metadiscourse concept has been taken in use more inrecent years. The concept seems to have been used mainly to inform the academic discourse and thecollective advancement of ideas. Still, there have been few attempts to define the concept in acoherent way. In this paper I discuss whether we need to expand our understanding of the concept inorder to fully understand knowledge building discourse. By using a comprehensive definition of metacommunication as a theoretical framework, I demonstrate how different kinds of “talk about talk” are present in knowledge building discourse in selected KB research papers, while not beingexplicitly described as metadiscourse. It is suggested that several new discourse elements should beincluded in the metadiscourse concept; these are explanations of intentions in the knowledge building discourse, discussions of the relationship between the participants and questions of clarification that may better capture the meta-level in the “ongoing flow” of the knowledge buildingdiscourse. In addition, one should focus more on the discourse relationship.
Models of Parsing: Two-Stage Models
Models of Parsing: Constraint-Based Models
Story context effects
Subcategory frequency effects
Cross-linguistic frequency data
Semantic effects
Prosody
Visual context effects
Interim Summary
Argument Structure Hypothesis
Limitations, Criticisms, and Some Alternative Parsing Theories
Construal
Race-based parsing
Good-enough parsing
Parsing Long-Distance
Dependencies
Summary and Conclusions
Test Yourself
When people speak, they produce sequences of words. When people listen or read, they also deal with sequences of words. Speakers systematically organize those sequences of words into phrases, clauses, and sentences.
The study of syntax involves discovering the cues that languages provide that show how words in sentences relate to one another.
The study of syntactic parsing involves discovering how comprehenders use those cues to determine how words in sentences relate to one another during the process of interpreting sentence.
Parsing means to breaking down a sentence into its component parts so that the meaning of the sentence can be understood.
This can either be the category of words (Nouns, Pronouns, verbs, adjectives. Etc.)
Or other elements such as verbs tense (present, past, future)
In a phrase structure tree, the labels, like NP, VP, and S, are called nodes and the connections between the different nodes form branches.
The patterns of nodes and branches show how the words in the sentence are grouped together to form phrases and clauses.
Effects of Network Structure, Competition and Memory Time on Social Spreading...James Gleeson
Talk at the Computational Social Science workshop at the Conference on Complex Systems #CCS16, Amsterdam, 21 Sep 2016, http://cssworkshop.oii.ox.ac.uk/
study or concern about what kinds of things exist
what entities there are in the universe.
the ontology derives from the Greek onto (being) and logia (written or spoken). It is a branch of metaphysics , the study of first principles or the root of things.
LAK19 - Towards Value-Sensitive Learning Analytics DesignBodong Chen
LAK19 Full Paper. Abstract: To support ethical considerations and system integrity in learning analytics, this paper introduces two cases of applying the Value Sensitive Design methodology to learning analytics design. The first study applied two methods of Value Sensitive Design, namely stakeholder analysis and value analysis, to a conceptual investigation of an existing learning analytics tool. This investigation uncovered a number of values and value tensions, leading to design trade-offs to be considered in future tool refinements. The second study holistically applied Value Sensitive Design to the design of a recommendation system for the Wikipedia WikiProjects. To proactively consider values among stakeholders, we derived a multi-stage design process that included literature analysis, empirical investigations, prototype development, community engagement, iterative testing and refinement, and continuous evaluation. By reporting on these two cases, this paper responds to a need of practical means to support ethical considerations and human values in learning analytics systems. These two cases demonstrate that Value Sensitive Design could be a viable approach for balancing a wide range of human values, which tend to encompass and surpass ethical issues, in learning analytics design.
Next-Generation Knowledge Building EnvironmentsBodong Chen
This is presented at 2011 Knowledge Building Summer Institute hosted in Guangzhou, China, as an important event after CSCL 2011. By going through ten important aspects that might help define next-generation knowledge-building environment, presenters invited all participants to contribute their ideas about how to make knowledge-building environment better.
Advancing the design of knowledge-building softwareBodong Chen
Advancing the design of knowledge-building software.
Presented at CSCL 2011 Symposium: Enhancing the Social and Cognitive Benefits of Digital Tools and Media.
Knowledge Building in Senior Kindergarten and Grade 1Bodong Chen
This is a presentation in a CSCL2011 Symposium: Getting Started and Sustaining Knowledge Building. It introduces how to get knowledge building started in kindergarten and grade one classes.
Design to Integrate Knowledge Building with Individual Learning in Open Learn...Bodong Chen
This presentation calls for designs of new social media to fill the gap of learner communication and collaboration in current Educational Resources (OER) movement. While various OER projects have created a vast ocean of quality learning materials, comparably little effort has been put on nurturing a learner community around a single or multiple OER repositories. The Knowledge Building pedagogy which emphasizes social and cultural aspects of learning could come in and play a role in this movement. No design idea has been discussed in this presentation, but many questions that have to be answered are put forward for discussion.
Idea centered knowledge building environmentBodong Chen
This is a presentation I gave in one of my courses in Knowledge Media Design collaborative program on Nov 4, 2010. It articulates a design challenge--idea-centered open knowledge building environment--I want to pursue in this course.
Any comment will be highly appreciated!
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 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.
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!
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
KBSI 2015: Towards multimodal indicators of idea improvement in knowledge building
1. Bodong Chen (@bodong_c)
Assistant Professor, University of Minnesota
September 9, 2015, KBSI2015, Trieste, Italy
Towards Multimodal Indicators
of Idea Improvement: A Review
of Possibilities
3. Existing indicators
▷ Scientific sophistication (Zhang 2007)
▷ Levels of questioning (Law 2013)
▷ Lexical measures (Zhang & Sun 2011)
▷ Connectedness of concepts (Oshima 2013)
▷ ...
4. Multimodality
Multimodal interaction
▷ Human-Computer Interaction
▷ Multimodal Learning Analytics
Multiple modalities mediating
meaning-making
▷ Communication
▷ Linguistics
Goal of this presentation: Explore emerging possibilities
from other communities, with attention to both conceptions.
5. Two directions
Mining multimodal data in
existing KB environments
▷ Lexical
▷ Syntactic
▷ Graphic
Designing next-generation
multimodal KB environments
▷ Sociometrics
▷ Mobile sensing
7. 1.1. Lexical
▷ Text 1 – by a Grade 6 student: “My theory is solar eclipses are when the moon,
earth and sun are in a perfect line. Why solar eclipses don't happen every month is
because the moon's axis around the earth is slightly tilted. The moon needs to be so
close to the earth so that it covers the space of the sun. You have to be in a certain
spot in the earth to see a full solar eclipse but there is an arc the sun and moon make
across the earth but from other spots on the arc you would only see a partial eclipse.”
▷ Text 2 – from Wikipedia: “As seen from the Earth, a solar eclipse is a type of
eclipse that occurs when the Moon passes between the Sun and Earth, and the Moon
fully or partially blocks the Sun. This can happen only at new moon, when the Sun
and the Moon are in conjunction as seen from Earth in an alignment referred to as
syzygy. In a total eclipse, the disk of the Sun is fully obscured by the Moon. In partial
and annular eclipses, only part of the Sun is obscured.”
8. Text 1 Text 2
Sentence count, number of sentences 4 4
Word count, number of words 100 87
Sentence length, number of words, mean 25 21.75
Word length, number of letters, mean 3.75 4
Text Easability PC Narrativity, z score 0.54 0.08
WordNet verb overlap 0.61 0.30
LSA overlap, adjacent sentences, mean 0.56 0.63
Causal verb incidence 10 34.48
9. 1.2. Syntactic
Text 1 Text 2
Words before main verb, mean 3.5 7
Sentence syntax similarity, adjacent sentences, mean 0.09 0.24
Noun phrase density, incidence 320 333.33
Verb phrase density, incidence 220 172.41
Adverbial phrase density, incidence 10 45.98
Preposition phrase density, incidence 100 172.41
13. Other possibilities
▷ Affective states reflected in logs
(Baker 2010; McDaniel 2007; Pardos 2013)
▷ Certainty and identity in text
(Blikstein 2013)
▷ Sentiment in text (Chamlertwat 2012)
15. Motivations
▷ Pervasive knowledge building
▷ “One discourse, multiple entry points”
▷ Environments mediate knowledge
representation and meaning-making
16. 2.1. Sociometrics
(Onnela et al., 2014)
Physical proximity
(radio signal)
Speech time
(microphone)
Body movement
(accelerometer)
Social intimacy
Talkativeness
Turn-taking
Personality
Energy level