This document contains information about Sanjay Goel, including his contact information and a list of his published papers on engineering education. It discusses Bloom's taxonomy of learning objectives and its cognitive, affective, and psychomotor domains. It provides details about each level of Bloom's cognitive domain. It also addresses the need for higher-order learning experiences, integrative learning, and reflective learning to facilitate deep learning in students. National surveys on student engagement in the US are referenced, and ways to initiate and facilitate deep learning through academic challenge, active learning, student-faculty interaction, and enriching experiences are outlined. International journals on engineering education are also listed.
Attention Is All You Need.
With these simple words, the Deep Learning industry was forever changed. Transformers were initially introduced in the field of Natural Language Processing to enhance language translation, but they demonstrated astonishing results even outside language processing. In particular, they recently spread in the Computer Vision community, advancing the state-of-the-art on many vision tasks. But what are Transformers? What is the mechanism of self-attention, and do we really need it? How did they revolutionize Computer Vision? Will they ever replace convolutional neural networks?
These and many other questions will be answered during the talk.
In this tech talk, we will discuss:
- A piece of history: Why did we need a new architecture?
- What is self-attention, and where does this concept come from?
- The Transformer architecture and its mechanisms
- Vision Transformers: An Image is worth 16x16 words
- Video Understanding using Transformers: the space + time approach
- The scale and data problem: Is Attention what we really need?
- The future of Computer Vision through Transformers
Speaker: Davide Coccomini, Nicola Messina
Website: https://www.aicamp.ai/event/eventdetails/W2021101110
Introduction Artificial Intelligence a modern approach by Russel and Norvig 1Garry D. Lasaga
In computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. - Wikipedia
Attention Is All You Need.
With these simple words, the Deep Learning industry was forever changed. Transformers were initially introduced in the field of Natural Language Processing to enhance language translation, but they demonstrated astonishing results even outside language processing. In particular, they recently spread in the Computer Vision community, advancing the state-of-the-art on many vision tasks. But what are Transformers? What is the mechanism of self-attention, and do we really need it? How did they revolutionize Computer Vision? Will they ever replace convolutional neural networks?
These and many other questions will be answered during the talk.
In this tech talk, we will discuss:
- A piece of history: Why did we need a new architecture?
- What is self-attention, and where does this concept come from?
- The Transformer architecture and its mechanisms
- Vision Transformers: An Image is worth 16x16 words
- Video Understanding using Transformers: the space + time approach
- The scale and data problem: Is Attention what we really need?
- The future of Computer Vision through Transformers
Speaker: Davide Coccomini, Nicola Messina
Website: https://www.aicamp.ai/event/eventdetails/W2021101110
Introduction Artificial Intelligence a modern approach by Russel and Norvig 1Garry D. Lasaga
In computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. - Wikipedia
This presentation explores the Turing Test, introduced by Alan Turing in 1950, to assess a machine's ability to exhibit human-like intelligence. We discuss its historical significance, technological advancements, philosophical implications, and real-world applications, highlighting the ongoing pursuit of creating AI indistinguishable from humans.
Transformer Architectures in Vision
[2018 ICML] Image Transformer
[2019 CVPR] Video Action Transformer Network
[2020 ECCV] End-to-End Object Detection with Transformers
[2021 ICLR] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
this is ppt on the topic of heuristic search techniques or we can also known it by the name of informed search techniques.
in this presentation we only disscuss about three search techniques there are lot of them by the most important once are in this presentation.
Artificial Intelligence (AI) | Prepositional logic (PL)and first order predic...Ashish Duggal
The following are the topics in this presentation Prepositional Logic (PL) and First-order Predicate Logic (FOPL) is used for knowledge representation in artificial intelligence (AI).
There are also sub-topics in this presentation like logical connective, atomic sentence, complex sentence, and quantifiers.
This PPT is very helpful for Computer science and Computer Engineer
(B.C.A., M.C.A., B.TECH. , M.TECH.)
Individual Focused Learning for Better Memory Retention Through LizbethQuinonez813
Individual Focused Learning for Better Memory Retention Through Experience
CONFIDENTIAL
GCU – For Internal Use Only
1
Literature Review: Background to the Problem
10/9/2019
Cognitive theory focuses on experiences in three looping processes, comprehension, memory, and application
According to Goossens (2020), cognitive theories in learning is affected by biology, environment, and social constructs
Bottom-up and top-down influences define experience of learning and thus memory and its retention (Tyng et al., 2017)
Comprehension is interpretative with different people and methodologies of gaining skills require support for better retention of knowledge (Ford et al., 2020)
CONFIDENTIAL
GCU – For Internal Use Only
Objective:
The outline on this slide is used in the Prospectus to develop the Background of the Study in Chapter 1 and the Background of the Problem Space in Chapter 2.
Slide Requirements:
Use either a bulleted format or table format
Describe what is already understood about the problem - Historically, memory retention is dependent on biology, social determinants, and educational roles (Berger et al., 2012)
Present findings from prior research related to the history of the problem space – individual are unique by circumstances, cognition development is different for each person hence memory retention and its experiences are unique. In education sector today, curriculum caters to meeting outcomes of the larger group with less focus on individual pace of learning.
Focus on:
When the problem started – generalization of education and learning environment through general curriculum tends to segregate some learners
What has been discovered about the problem - According to Tyng et al. (2017), “the effects of emotion on learning and memory are not always univalent” it points to the fact that progression is a personal journey such that how learning is understood is directly linked to how it is taught, the environment it is taught in, and the emotional attachments of information processing. Therefore, productivity in learning can only be attained by training and task definition which can be versatile form one person to another.
The current state of the problem – Development of separate special classes for students with learning challenge is beneficial but with poor education systems, the program could be detrimental for the future especially in self teaching learners. With guidance for retention of knowledge being a taught skill, ineffective environments and lack of support could be detrimental especially to disadvantaged communities
Support information with APA compliant in-text citations in your slide, and then make sure to include the full reference for the citation in the List of References slide (last slide of this presentation)
2
Literature Review: Problem Space
10/9/2019
Perception plays a very important role in motivating learners
It is build on the foundation of the dynamics of instructor-student relationship hence role ...
This presentation explores the Turing Test, introduced by Alan Turing in 1950, to assess a machine's ability to exhibit human-like intelligence. We discuss its historical significance, technological advancements, philosophical implications, and real-world applications, highlighting the ongoing pursuit of creating AI indistinguishable from humans.
Transformer Architectures in Vision
[2018 ICML] Image Transformer
[2019 CVPR] Video Action Transformer Network
[2020 ECCV] End-to-End Object Detection with Transformers
[2021 ICLR] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
this is ppt on the topic of heuristic search techniques or we can also known it by the name of informed search techniques.
in this presentation we only disscuss about three search techniques there are lot of them by the most important once are in this presentation.
Artificial Intelligence (AI) | Prepositional logic (PL)and first order predic...Ashish Duggal
The following are the topics in this presentation Prepositional Logic (PL) and First-order Predicate Logic (FOPL) is used for knowledge representation in artificial intelligence (AI).
There are also sub-topics in this presentation like logical connective, atomic sentence, complex sentence, and quantifiers.
This PPT is very helpful for Computer science and Computer Engineer
(B.C.A., M.C.A., B.TECH. , M.TECH.)
Individual Focused Learning for Better Memory Retention Through LizbethQuinonez813
Individual Focused Learning for Better Memory Retention Through Experience
CONFIDENTIAL
GCU – For Internal Use Only
1
Literature Review: Background to the Problem
10/9/2019
Cognitive theory focuses on experiences in three looping processes, comprehension, memory, and application
According to Goossens (2020), cognitive theories in learning is affected by biology, environment, and social constructs
Bottom-up and top-down influences define experience of learning and thus memory and its retention (Tyng et al., 2017)
Comprehension is interpretative with different people and methodologies of gaining skills require support for better retention of knowledge (Ford et al., 2020)
CONFIDENTIAL
GCU – For Internal Use Only
Objective:
The outline on this slide is used in the Prospectus to develop the Background of the Study in Chapter 1 and the Background of the Problem Space in Chapter 2.
Slide Requirements:
Use either a bulleted format or table format
Describe what is already understood about the problem - Historically, memory retention is dependent on biology, social determinants, and educational roles (Berger et al., 2012)
Present findings from prior research related to the history of the problem space – individual are unique by circumstances, cognition development is different for each person hence memory retention and its experiences are unique. In education sector today, curriculum caters to meeting outcomes of the larger group with less focus on individual pace of learning.
Focus on:
When the problem started – generalization of education and learning environment through general curriculum tends to segregate some learners
What has been discovered about the problem - According to Tyng et al. (2017), “the effects of emotion on learning and memory are not always univalent” it points to the fact that progression is a personal journey such that how learning is understood is directly linked to how it is taught, the environment it is taught in, and the emotional attachments of information processing. Therefore, productivity in learning can only be attained by training and task definition which can be versatile form one person to another.
The current state of the problem – Development of separate special classes for students with learning challenge is beneficial but with poor education systems, the program could be detrimental for the future especially in self teaching learners. With guidance for retention of knowledge being a taught skill, ineffective environments and lack of support could be detrimental especially to disadvantaged communities
Support information with APA compliant in-text citations in your slide, and then make sure to include the full reference for the citation in the List of References slide (last slide of this presentation)
2
Literature Review: Problem Space
10/9/2019
Perception plays a very important role in motivating learners
It is build on the foundation of the dynamics of instructor-student relationship hence role ...
Individual Focused Learning for Better Memory Retention Through LaticiaGrissomzz
Individual Focused Learning for Better Memory Retention Through Experience
CONFIDENTIAL
GCU – For Internal Use Only
1
Literature Review: Background to the Problem
10/9/2019
Cognitive theory focuses on experiences in three looping processes, comprehension, memory, and application
According to Goossens (2020), cognitive theories in learning is affected by biology, environment, and social constructs
Bottom-up and top-down influences define experience of learning and thus memory and its retention (Tyng et al., 2017)
Comprehension is interpretative with different people and methodologies of gaining skills require support for better retention of knowledge (Ford et al., 2020)
CONFIDENTIAL
GCU – For Internal Use Only
Objective:
The outline on this slide is used in the Prospectus to develop the Background of the Study in Chapter 1 and the Background of the Problem Space in Chapter 2.
Slide Requirements:
Use either a bulleted format or table format
Describe what is already understood about the problem - Historically, memory retention is dependent on biology, social determinants, and educational roles (Berger et al., 2012)
Present findings from prior research related to the history of the problem space – individual are unique by circumstances, cognition development is different for each person hence memory retention and its experiences are unique. In education sector today, curriculum caters to meeting outcomes of the larger group with less focus on individual pace of learning.
Focus on:
When the problem started – generalization of education and learning environment through general curriculum tends to segregate some learners
What has been discovered about the problem - According to Tyng et al. (2017), “the effects of emotion on learning and memory are not always univalent” it points to the fact that progression is a personal journey such that how learning is understood is directly linked to how it is taught, the environment it is taught in, and the emotional attachments of information processing. Therefore, productivity in learning can only be attained by training and task definition which can be versatile form one person to another.
The current state of the problem – Development of separate special classes for students with learning challenge is beneficial but with poor education systems, the program could be detrimental for the future especially in self teaching learners. With guidance for retention of knowledge being a taught skill, ineffective environments and lack of support could be detrimental especially to disadvantaged communities
Support information with APA compliant in-text citations in your slide, and then make sure to include the full reference for the citation in the List of References slide (last slide of this presentation)
2
Literature Review: Problem Space
10/9/2019
Perception plays a very important role in motivating learners
It is build on the foundation of the dynamics of instructor-student relationship hence role ...
A brief introduction to Teaching for Understanding Framework developed by Harvard Graduate School of Education. Presentation prepared by Su-Tuan Lulee for EDDE 801, Ed. D. in Distance Education at Athabasca University, Canada.
Collaborative vs. Traditional Classroom Testing Reese WilheminaRossi174
Collaborative vs.
Traditional
Classroom Testing
Reese Van Putten, Skylar Lee, Jayson Martinez,
and Ibrahim Alruwaili
Some Background on Collaborative Testing
The traditional testing method that we are familiar with has
many flaws (Efu, 2018; Louis, 2004)
There are 2 primary types of Collaborative Testing (Efu 2018)
3 main benefits are observed from Collaborative Testing
-True
Collaborative
-Two-Step or
Pyramid Test
-Better grades
and retention
-Real-life
applications
-Reduced stress
-Stressful
-Not effective
learning
-No
communication
Grades, Learning, and Retention
● Feedback for regular exams and quizzes are not as helpful for students. It would take a longer time to
get the feedback to students in the first place (Giuliodori, 2008).
● Students have benefitted from learning from older copies of standardized tests than just from teachers
that do not use older versions of standardized tests (Volante, 2004).
● Some have recommended a two part exam for students. The first part would be individual exams, and
the second part will be collaborative assessments (Efu, 2018).
Strengthening Life/Career Skills
● The education systems in various institutions are merely meant for the strengthening of both life and
career skills. Students are supposed to show their strengths in working as a group and their prowess
without supervision.
● Performance of collaborative test enhanced students who performed poorly while that for groups
benefited all students collectively (Giuliodori, 2008).
● Students require standardized tests to know where their strengths lie (Volante, 2004). When a student
fails in a particular area, more focus is to be given in the area to develop more.
● Furthermore, putting students in collaborative learning and tasks can help them develop essential
social skills and grow their self-esteem (Webb, 1997).
Reducing Stress
● Experts Slusser and Erickson (2006); Lusk and Conklin (2003); and Zimbardo, Butler, and Wolfe (2003)
documented evident reduction in anxiety from students working together during exams (Efu, 2018).
● Two decades of research have proved a decrease in stress. Experts Meinster & Rose (1993) in
particular have reported it (Zimbardo et al. 2003).
● 328 students were tested and 81% affirmed reduced angst during study (Zimbardo et al. 2003).
○ 88% of the students had less uneasiness throughout testing.
● Teachers’ remarks regarding students reactions after they worked in pairs during final examinations:
○ “They are typically smiling, laughing, talking animatedly together, some even hugging, but also showing no signs
of the anxiety and dread we have observed for many years... (Zimbardo et al. 2003).”
Potential Issues/Cons
● Social loafing: Otherwise known as the “free-rider problem,” this is when a student did not study for
the test and allows other students to do the work for them (Webb, 1997)
● Division of Labor: Students workin ...
Online Course Design for Active Learning within the UDL FrameworkSandra Annette Rogers
2019 Keynote presentation to the faculty and staff at the University of Houston for their Innovative Teaching and Learning at a Distance (ITLD) Conference
JISC RSC London Workshop - Learner analyticsJames Ballard
Introduction to learning analytics and approaches to learner engagement to raise awareness and set the seen for upcoming projects and advice for supported learning providers.
New Generation MTech and MSc Programs at JKLUSanjay Goel
A brief overview of the salient features of the curriculum of new generation MTech and MSc programs at JKLU.
MTech SCHOLARSHIPS (First year)
1. Scholarships from 25% to 100% of tuition fees are offered to meritorious students based on their final scores in the under-graduation program, in the first year of study.
CGPA Scholarships
>=9.01 Equivalent to 100% of tuition fees
8.50 - 9.00 Equivalent to 75% of tuition fees
8.01 - 8.50 Equivalent to 50% of tuition fees
7.50 - 8.00 Equivalent to 25% of tuition fees
2. Students who qualify for GATE will be eligible for scholarships equivalent to 75% tuition fees.
MERIT SCHOLARSHIPS (Second year)
Students who have obtained CGPA of 8.50 and above in first year will be awarded scholarship equivalent to 75% of the tuition fee.
Students who have obtained CGPA above 7.50 and below 8.50 in first year will be awarded scholarship equivalent to 50% of the tuition fee.
Build a Career in Engineering and Technology 19.08.20Sanjay Goel
On 19th August 2020, I gave a webinar through CollegeDunia for fresh 12th pass-outs on this theme. In this more than 1 hour-long session, I focused on the following four issues:
1. Careers for Future?
2. What to learn for future careers and how?
3. Which institutes are equipped to facilitate learning for the future career in engineering and technology?
4. Is JKLU a good option?
The Youtube video of this presentation is available at: https://youtu.be/Md79MvZhYeg
Software Development Careers: Why, What, and How?Sanjay Goel
This presentation was used during the 3 hrs long session for pre-final year CSE/IT/ECE students at JIIT on 13th June 2015. It even has the slides that were skipped because of time shortage. Thanks to some of the star alumni of 1st (2005) to 5th (2009) batch graduated from JIIT for their messages that are also included in this presentation. Each of their message was read out by different students during the presentation. I hope more engineering students at JIIT and even at other institutes will find it useful for making the right choice wrt their career.
This presentation is a continuously evolving presentation and is kept updated with new insights and information.
Developing and PublishingAcademic ProductsSanjay Goel
These lecture slides were used in two lectures delivered on 25th June 2014 at a 3 day workshop organised under the TEQIP (Technical Education Quality Improvement Programme ) scheme by Equate India for the faculty participants from few NITs, Aligarh Muslim University, and Sardar Patel College of Engineering.
Problem Solving and Research Methodology: Part-I- Risk Engineering - Excerpts...Sanjay Goel
These are excerpts of the references discussed in the lectures of an elective course Problem Solving and research Methodology offered to MTech (CSE) and BTech (CSE/IT) students at JIIT. Part -I contains the references discussed in the class before first test, it mainly deals with the theme of Risk Engineering.
This is the summary of the material discussed in the classes of CSCW, a new elective taught to MTech students in 2012 at JIIT, Noida, India. Essentially speaking, these are the excerpts of the selected papers and other publications.
A talk given during the orientation program of MBA students of JBS, JIIT, 2007. Howeevre, the content is relevant for all postgraduate students and aspirants.
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.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
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!
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
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.
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.
1. A Proposal
Engage...
to facilitate deeper learning
Sanjay Goel, 2008
Sanjay.goel@jiit.ac.in
goelsan@yahoo.com
http://www.linkedin.com/in/sgoel
Sanjay Goel, JIIT University, 2008
2. My Published Papers on Engineering Education
1. Goel Sanjay (2008), Successful Teaching methods for engineering education with
reference to the Indian IT industry, Accepted, Journal of STEME, USA.
2. Goel Sanjay and Kathuria Vanshi (2008), A Novel approach for pair programming,
Accepted, Journal of IT Education, USA.
3. Goel Sanjay (2006), Do Engineering Faculty Know What’s Broken? The National
Teaching & Learning Forum, Vol 15 Number 2, USA
4. Goel Sanjay (2006), Competency Focused Engineering Education with Reference to IT
Related Disciplines: Is Indian System Ready for Transformation? Journal of
Information Technology Education, USA
5. Goel Sanjay (2006), Investigations on required core competencies for engineering
graduates with reference to the Indian IT industry, European Journal of Engineering
Education, Vol 31 Issue 5, October, Taylor & Francis, UK.
6. Goel Sanjay and Sharda Nalin (2004), What do engineers want? Examining
engineering education through Bloom’s taxonomy, Conference of Australasian
Association of Engineering Education, September, 2004, Australia.
7. Goel Sanjay (2004), What is high about higher education : Examining Engineering
Education Through Bloom’s Taxonomy, The National Teaching & Learning Forum,
Vol. 13 Number 4, pp 1-5, USA.
8. Goel Sanjay (2003), Activity based flexible credit definition, Tomorrow’s Professor,
Stanford University, USA
Sanjay Goel, JIIT University, 2008
4. Does engineering education have anything to do with
either one?
College teaching may be the only skilled profession for
which no preparation or training is provided or required.
Prof. Richard Felder, 1982
Professor Emeritus of Chemical Engineering,
North Carolina State University
http://www4.ncsu.edu/unity/lockers/users/f/felder/public/
Sanjay Goel, JIIT University, 2008
5. Age of Information explosion
More information was
produced in the last 30
years than in the
previous 5000.
Information Doubling
(1.5 years - 5 years)
Sanjay Goel, JIIT University, 2008
6. “Information is not Instruction”.
Prof. M.David. Merrill
Professor, Instructional Technology,
Utah State University
Sanjay Goel, JIIT University, 2008
7. Bloom’s Taxonomy of
Learning Objectives , 1956
Cognitive Domain : Mental skills
Affective Domain : Growth in feelings or emotional areas
Psychomotor Domain : Manual or physical skills
Sanjay Goel, JIIT University, 2008
9. Bloom’s Taxonomy of Learning
Objectives: Cognitive Domain
Level 1:Knowledge (REMEMBERING)
exhibits previously learned material by recalling facts, terms,
basic concepts and answers.
acquire, cite, define (studied definitions), derive, fill in the blanks,
identify, label, list, name, obtain, prove (studied theorem, studied
method), recall, recite, recognise, reproduce, show (studied fact,
studied method), and state.
Sanjay Goel, JIIT University, 2008
10. Bloom’s Taxonomy of Learning
Objectives: Cognitive Domain
Level 2:Comprehension UNDERSTANDING):
demonstrating understanding of facts and ideas by organizing,
comparing, translating, interpreting, giving descriptions and stating
main ideas. State a problem in one's own words.
arrange, associate, categorize, change, clarify, classify, compare,
convert, describe, discuss, distinguish, draw, exemplify, explain,
illustrate, interpret, match, outline, rephrase, represent, restructure,
rewrite, sort, summarize, tell, and translate.
Sanjay Goel, JIIT University, 2008
11. Bloom’s Taxonomy of Learning
Objectives: Cognitive Domain
Level 3:Application (SOLVING THE PROBLEM):
Use a concept in a new situation or unprompted use of an
abstraction.
apply, calculate, compute, demonstrate, determine, estimate,
evaluate (computation), experiment, find, practice, show
(understanding fact in the direct context of studied material),
solve, and transform.
Sanjay Goel, JIIT University, 2008
12. Bloom’s Taxonomy of Learning
Objectives: Cognitive Domain
Level 4: Analysis (LOGICAL ORDERING):
Separates material or concepts into component parts so that its
organizational structure may be understood. Distinguishes between
facts and inferences.
analyze, conclude, contrast, debug, deduce, detect, differentiate,
discriminate, examine, extend, extrapolate, generalize, infer, justify,
point out, predict, rearrange, select, specify, test, and verify.
Sanjay Goel, JIIT University, 2008
13. Bloom’s Taxonomy of Learning
Objectives: Cognitive Domain
Level 5: Synthesis (CREATING)
Build a structure or pattern from diverse elements. Put parts together to
form a whole, with emphasis on creating a new meaning or structure
build, combine, comment, compose, constitute, construct, correlate,
create, define (new things), design, develop, devise, document,
formulate, implement, integrate, modify, organize, plan, prepare,
present, produce, propose, construct a proof, reorganize, report,
revise, schedule, sketch, and synthesize.
Sanjay Goel, JIIT University, 2008
14. Bloom’s Taxonomy of Learning
Objectives: Cognitive Domain
Level 6:Evaluation
presenting and defending opinions by making judgments about
information, validity of ideas or quality of work based on a set of criteria
appraise, argue, assess, decide, evaluate (the options), judge,
question, review, revisit, standardize, validate, value, and weigh.
Sanjay Goel, JIIT University, 2008
15. • Ex#6.21: What kind of learning experiences as per Bloom’s
taxonomy resulted in deep learning for you?
• Ex#6.22: At what level do we most frequently engage most of our
students?
• Ex#6.23: Should our methods be reorganized in the light of
Bloom’s taxonomy? If yes, how? Illustrate with suitable
assignments wrt your current course.
Sanjay Goel, JIIT University, 2008
16. Deep Learning
• Higher-order learning (e.g., “While I am studying, I often
think of real life situations to which the material that I am
learning would be useful”).
• Integrative learning (e.g., “I try to relate what I have
learned in one subject to that in another”).
• Reflective learning (e.g., “In reading new material I often
find that I’m continually reminded of material I already
know and see the latter in a new light”).
Sanjay Goel, JIIT University, 2008
17. Higher-order learning
Students:
• Apply theories or concepts to practical problems or in new situations?
• Analyze the basic elements of an idea, experience, or theory, such as
examining a particular case or situation in depth and considering its
components?
• Synthesize and organized ideas, information, or experiences into new, more
complex interpretations and relationships?
• Make judgments about the value of information, arguments, or methods, such
as examining how others gathered and interpreted data and assessing the
soundness of their conclusions?
Sanjay Goel, JIIT University, 2008
18. Higher-order learning
Students:
• Apply theories or concepts to practical problems or in new situations?
• Analyze the basic elements of an idea, experience, or theory, such as
examining a particular case or situation in depth and considering its
components?
• Synthesize and organized ideas, information, or experiences into new, more
complex interpretations and relationships?
• Make judgments about the value of information, arguments, or methods, such
as examining how others gathered and interpreted data and assessing the
soundness of their conclusions?
Ex#12.1: As student, how frequently were you engaged in such experiences?
Ex#12.2: How frequently do you engage the students in such experiences?
Ex#12.3: What % of students frequently have such experiences in your course?
Sanjay Goel, JIIT University, 2008
19. Integrative learning
Students:
• Work on a paper or project that required integrating ideas or
information from various sources?
• Include diverse perspectives (different races, religions, genders,
political beliefs, etc.) in class discussions or writing assignments?
• Put together ideas or concepts from different courses when
completing assignments or during class discussions?
• Discuss ideas from their readings or classes with faculty
members outside of class?
• Discuss ideas from their readings or classes with others outside
of class (students, family members, co-workers, etc.)?
Sanjay Goel, JIIT University, 2008
20. Integrative learning
Students:
• Work on a paper or project that required integrating ideas or
information from various sources?
• Include diverse perspectives (different races, religions, genders,
political beliefs, etc.) in class discussions or writing assignments?
• Put together ideas or concepts from different courses when
completing assignments or during class discussions?
• Discuss ideas from their readings or classes with faculty
members outside of class?
• Discuss ideas from their readings or classes with others outside
of class (students, family members, co-workers, etc.)?
Ex#12.4: As student, how frequently were you engaged in such experiences?
Ex#12.5: How frequently do you engage the students in such experiences?
Ex#12.6: What % of students frequently have such experiences in your course?
Sanjay Goel, JIIT University, 2008
21. Reflective learning
Students:
• Learn something from discussing questions that have no clear answers?
• Examine the strengths and weaknesses of their own views on a topic or
issue?
• Try to better understand someone else's views by imagining how an
issue looks from his or her perspective?
• Learn something that changed the way they understand an issue or
concept?
• Applied what they learned in a course to their personal life or work?
• Enjoy completing a task that required a lot of thinking and mental
effort?
Sanjay Goel, JIIT University, 2008
22. Reflective learning
Students:
• Learn something from discussing questions that have no clear answers?
• Examine the strengths and weaknesses of their own views on a topic or
issue?
• Try to better understand someone else's views by imagining how an
issue looks from his or her perspective?
• Learn something that changed the way they understand an issue or
concept?
• Applied what they learned in a course to their personal life or work?
• Enjoy completing a task that required a lot of thinking and mental
effort?
Ex#12.7: As student, how frequently were you engaged in such experiences?
Ex#12.8: How frequently do you engage the students in such experiences?
Ex#12.9: What % of students frequently have such experiences in your course?
Sanjay Goel, JIIT University, 2008
23. National Survey of Student Engagement (NSSE)
51,233 seniors from 439 four-year colleges and universities.
2004, USA
Arts and Humanities
Biology
Business
Education
Engineering
Physical Science
Professional
Social Science
Other
6% respondents were engineering students
Sanjay Goel, JIIT University, 2008
24. National Survey of Student Engagement (NSSE)
Sanjay Goel, JIIT University, 2008
25. Deep learning: How to initiate?
• Academic Challenge
– Challenging intellectual and creative work is central to student
learning and collegiate quality.
– High expectations for student performance high levels of student
achievement
• Assignments that take more than an hour to complete
• Challenging Examinations
• Research/design project or Independent study
• Report writing
• Additional work hours per lecture hr.
(Benchmark: 3 additional work hrs. per lecture hr.)
Sanjay Goel, JIIT University, 2008
26. Deep learning: How to Facilitate?
• Academic Challenge
• Active and collaborative learning
– Intense involvement in and outside classrooms
– Applying learned material in different settings.
– Collaborating with others in solving problems or mastering difficult material.
• Student Faculty Interaction
– Frequent and intense academic discussions outside the classroom
• Enriching Educational experience
– Experiencing diversity.
– Serious conversations.
– Internships.
– Capstone projects.
– Community service
– Learning communities.
– Co-curricular activities.
Sanjay Goel, JIIT University, 2008
27. Rethink
• Ex# 13.1: As a student, what % of courses did you experience deep learning in?
• Ex#13.2: What % of students experienced deep learning in your last course?
• Ex#13.3: What % of students frequently experience deep learning in our
program?
Sanjay Goel, JIIT University, 2008
28. Exercise #6
14.1 What minimum % of students do you aim to get the
experience of deep learning in your coming course?
14.2 List the main problems?
Sanjay Goel, JIIT University, 2008
29. Engineering Education
Some International Journals …
• Journal of Engineering Education, ASEE, since 1910
• European Journal of Engineering Education, Taylor and Francis, since 1976
• The International Journal of Engineering Education, Dublin Institute of Tech., since 1985
• IEEE Transaction on Education, IEEE, since 1988
• Journal of Computer Science Education, Taylor and Francis, since 1990
• International Journal of Technology and Design Education. Springer, since 1990
• Australasian Journal of Engineering Education. Australasian Association of Engineering
education, since 1991
• The Journal of Computing Sciences in Colleges, Consortium for Computing Sciences in
Colleges, Archived by ACM, since 1991
• Engineering Science and Education Journal, IEE, since 1992
• Global Journal of Engineering Education, UNESCO International Centre for Engineering
Education, since 1997
• Journal of Science, Technology, Engineering and Math Education, Auburn University, since
2000
• British Journal of Engineering Education, British Engineering Education Society, since 2000
• Journal on Educational Resources in Computing, ACM, since 2001
• Journal of Information Technology Education, Informing Science Institute, since 2002
• Journal of Information Systems Education, AITP, since 2003
• Online Journal of Global EngineeringGoel, JIIT University, 2008 of Rhode Island, since 2006
Education, University
Sanjay
• Advances in Engineering Education, ASEE, since 2007
30. Engineering Education
Some International Journals
• Journal of Learning Sciences, LEA since 1991
• Innovative Higher Education, Springer
• Research in Science Education, Springer
• Education and Information Technologies, Springer
• Research in Higher Education, Springer
• Higher Education, Springer
• International Journal for the Scholarship of Teaching & Learning , Georgia Southern
University
• International Journal of Teaching and Learning in Higher Education, International Society
for Exploring Teaching and Learning
Sanjay Goel, JIIT University, 2008
31. Engineering Education
Some international Conferences and other Publications
• Annual conference of ASEE, since 1894
• Annual Conference of SIGCSE, ACM, since 1970.
• Frontiers in Education, ASEE & IEEE, since 1977.
• Annual Conference of Consortium for Computing Sciences in Colleges, since 1985
• Annual Conference of Software Engineering Education and Training, IEEE, since 1988
• Annual Conference of Australasian Association of Engineering Education, since 1990
• Annual Conference on Informing Science and Information Technology Education, Informing
Science Institute, since 2001
• Annual ASEE Global Colloquium on Engineering Education, since 2002
• Annual Conference of SIGITE, ACM, since 2003
• International Computing Education Research Workshop, ACM, since 2005
• The International Conference of the Learning Sciences (ICLS), ISLS since 1992.
• SIGCSE Bulletin, since 1969
• National Teaching and Learning Forum, Newsletter, USA, since 1991
• Prism, a magazine by ASEE, since 1998
• Tomorrow's Professor Listserv, Stanford University, since 2000
• SIGITE Bulletin, since 2005
Sanjay Goel, JIIT University, 2008