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The Role of Higher Education: Lessons from Minerva March 20, 2017 Posted in: e-learning, minverva, SEMINAR

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There are two things higher education institutions must do when guiding their students in learning. First, we should teach students how to transfer their critical thinking skills from one context to another. Second, we must engage students in active learning and deep processing to develop their capabilities.

Minerva is a non-conventional college startup where students live in seven world cities and interact with teachers and peers via live videos on an online platform in their four-year education. With its growing popularity and low admission rate, it is described by some as a college “tougher to get into than Harvard”. On 17 February 2017, Mr. Ben Nelson, Founder and CEO of the Minerva project shared his secrets of success in Minerva in a seminar titled “How to save higher education in twenty seven easy steps?” at the Hong Kong University of Science and Technology (HKUST).

What should we teach?
Minerva believes that higher education institutions should teach students how to transfer their critical thinking skills from one context to another. Their teaching philosophy focuses on providing students with a framework of thinking applicable in different situations. Education is not meant to provide rote solutions, but ideas and patterns, so that when students encounter a novel situation, they can come up with a novel solution.

The fundamental problem in higher education is that we spent years learning things in an unstructured environment before we learn how to transfer. The goal of Minerva is to alter students’ way of thinking and interpreting the world. “It’s like doing brain surgery,” said Mr. Nelson. He agrees that studying in Minerva can be challenging, but by the 3rd or 4th year, students will have learnt how to parachute into any location and make the most out of any situation.

How should we teach?
We must engage students in active learning and deep processing instead of simply lecturing them because deep processing leads to better retention of knowledge. Mr. Nelson perceives passive lectures as an ineffective way to disseminate information as it does not encourage deep processing – students’ knowledge retention rate drops to 10% by the end of the 6th month, meaning a 90% failure rate.

Based on his examination of empirical evidence, he came to the conclusion that “when you go through deep processing, you get memory for free.” If you only push students to memorize something without going through deep processing, the retention rate will most likely be very low.

Higher education is “the gatekeeper between citizenry and leadership.” It is necessary for universities to keep up with changes, or else we may be in the peril of not existing.

A big thank you to HKUST for inviting us to join this thought-provoking seminar.

Further reading:

  1. An introductory video about Minerva
Learning begins at the end of your comfort zone March 14, 2017 Posted in: e-learning, Everyday Computing, HKU, SEMINAR, SPOC, TELI

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“[The] place where knowledge formation occurs is right at that edge where you do not know what’s going to happen. If you did, it would just be repetition, it wouldn’t be discovery […] students get very excited at that moment,” said Professor Gray Kochhar-Lindgren, Director of Common Core (CC), after Professor Ricky Kwok’s sharing on March 7, 2017 about his experience of flipping the course CCST9003 Everyday Computing and the Internet.

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Last semester, Ricky and his course team began a new teaching and learning experiment. They have developed a series of videos to replace traditional lectures; and delivered 5 game-based workshops for students in their CC class (e.g., solving the Rubik’s cube, defusing bombs in a computer game, and solving encrypted codes). The main driver of the flipped approach was the dissatisfaction with the low energy level observed in lectures. “We (teachers) are just sending out sound waves that nobody cares to receive,” Ricky said.

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Participants of the sharing session had to experience this new way of learning first-hand. Prior to the meet-up, they were asked to watch several video clips on “recursion”, one of the algorithms that Ricky taught in his course. When they came in, they had to “compete” in an online game powered by Kahoot to check their preparedness, followed by a team-based, hands-on activity of solving a recursion problem with lego pieces. While groups of students in the actual CC course need to produce a video on the solution by the end of the two-hour class as a deliverable, our teacher-participants were asked to explain their solution to Teaching Assistants within 10 minutes. Feel the adrenaline? That’s what Ricky meant by “learning begins at the end of your comfort zone”.

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Ricky learnt from his own experience that the 4Cs – credit, collaboration, competition, and co-creation – were important in providing the motivation that students need. Here is his recipe:

Application in CCST9003 Advantage
Credit All classwork activities counted towards students’ final grade. Students had the incentive to participate in the first place.
Collaboration It is one of the criteria in the grading rubrics. Every group member needs to participate and demonstrate collaboration. Creates room for dialogue and peer-to-peer learning; where stronger students are motivated to help weaker students.
Competition Each group competed with the 29 other groups in the class.

Competitive elements, e.g., the fastest and most accurate team wins, students can leave the class once they completed the task.

An essential element to push for and maintain a high energy level, competition is a good motivator for an individual to strive for the better.
Co-creation A video had to be produced on the spot at the end of each class, showing how the solved the problem. Learning by teaching is encouraged; students can have solid take-aways and a sense of satisfaction when leaving the classroom.

“Just enjoy that learning and don’t care about the marks,” one of the CCST9003 students said in the video interview done after the last classwork activity. Perhaps this is great testimony that all the hard work of Ricky and his team paid off at the end.

The Common Core continued to be a sandbox of experimentation of new pedagogies. This semester, Mr. Matthew Pryor is also flipping his CCHU9001 Designs on the Future: Sustainability of the Built Environment.

Last but not least, feel the beat of CCST 9003 through this video.

Reimagining a Quality Space for Learning March 10, 2017 Posted in: flipped classroom, Library, TELI

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TELI recently worked with The Libraries to turn Level 3 of the Main Library a quality space for conducting the Tort Law flipped class. Student feedback was largely positive, commending Level 3 as an ideal place for interactive learning. Learn more about the success story here (extracted from FOCUS, The University of Hong Kong Libraries, Feb 2017).

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TELI looks forward to envisioning the use of space for teaching and learning with the Libraries and other members of the University. Please get in touch via enquiry@teli.hku.hk if you want to start a conversation.

Interdisciplinary resource-sharing and learning: the case of SCNC1111 March 7, 2017 Posted in: DIY videos, e-learning, interdisciplinary’, science, SCNC1111, TELI

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Have you been in situations where your students lack knowledge on how to present and analyze data but your course contents are so packed that there’s no extra time to teach or elaborate further on how to use statistical tools? Yet, data analysis skills should not be overlooked, as it plays an important role across many disciplines.

The case of SCNC1111
The Science Foundation Course SCNC1111 Scientific Method and Reasoning encountered this situation. As part of their group project, the students of SCNC1111 have to make their own investigations into how Mathematics and Statistics can be or have been applied to daily life and scientific inquiry. Over the past years, the teaching team observed that while most students were good at data collection, some of them seemed to be at a loss on what to do with the data: What can the data help us to do?

Seeing that some students lack proper training in handling, interpreting or analyzing data, the SCNC1111 teaching team found it essential to fill the gap:

“As there is not enough time to cover all these in class time, [we] took the initiative to produce videos to introduce data analysis in a convenient and low-cost way. The animations in the videos can help to vividly illustrate the concerned points, and the University can keep a database of resources for students to use at their convenience.” – Dr. Eddy Lam, Dr. Rachel Lui and Dr. William Cheung, SCNC1111 Course instructors

As a result, several useful and efficient instructional videos have been developed on how to use free online resources to plot nice graphs and do basic statistical analysis. Students’ skills and learning experience can both be enhanced. With the hope to incorporate students into the process of teaching, the SCNC1111 teaching team has previously recruited senior undergraduates as Senior Tutors for the course and one of the Senior Tutors, Mr. Dag Wong, was in charge of the video production. The team believes that “students can be our resourceful partner in developing high quality teaching materials and videos.”

Interdisciplinary resource-sharing
These videos can prove to be useful not only in science, but also in different disciplines such as economics, psychology, engineering, sociology, to name a few. In the long run, such productions can initiate synergy among different faculties in developing and sharing educational resources in common areas of inquiry. As students are expected to learn a wide spectrum of skills, creation and utilization of interdisciplinary materials will be highly beneficial.

Here are some typical data analysis questions asked by students across the campus, to which the SCNC1111 team has responded through the videos. Please feel free to share these links with your students!

What if I have an equation and I simply want to plot a nice-looking graph?

What if I have gathered some data and I wonder if there is any relationship between them?

How does regression work?

How does linear regression work with excel?

Let this be a start to knowledge sharing across disciplines!
Contact us if you are interested to learn more.

Learning Begins at the End of Your Comfort Zone: Sharing by the Common Core CCST9003 Team March 2, 2017 Posted in: e-learning, Everyday Computing, SPOC, TELI

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Organised by Technology-Enriched Learning Initiative (TELI)

Date : March 7, 2017 (Tuesday)
Time : 12:45pm – 2pm
Venue : Room 321, 3/F, Run Run Shaw Building (Main Campus)
Speakers : Professor Ricky Kwok (Course Co-ordinator and Teacher), Department of Electrical and Electronic Engineering, Faculty of Engineering
Facilitators: Teaching Assistants – Ms. Yuqian Chai, Mr. Xiangyu Hou, Dr. Tyrone Kwok, Dr. Leon Lei (Chief), Mr. Victor Wong; Course Manager – Mr. Donn Gonda
Respondent: Professor Gray Kochhar-Lindgren, Director of Common Core Curriculum

Registration

About the sharing:

The Common Core Curriculum Committee granted approval for running CCST 9003 – Everyday Computing and the Internet in the Scientific and Technological Literacy Area of Inquiry – as a Small Private Online Course (SPOC) in the first semester of 2016-17. Traditional in-class lecture materials were replaced by video recordings and other online learning materials, leaving more time for interactions in face-to-face sessions. For those of you who would like to know more about what happened, please sign up for this sharing session. The teacher-in-charge and TAs will show you how the course was re-designed, what in-class activities were used, and perhaps most importantly – the pains and pleasures of running this SPOC.

Please note that participants are required to watch a few short videos and send in some questions before coming to the face-to-face sharing. They will also be given hands-on exercises during the 75-minute session (so, we are serving light refreshment). Come prepared.

Sign up via http://bit.ly/2lEKso3 by March 3, 2017.
Enquiries should be directed to enquiry@teli.hku.hk.