With the theme “Teaching Excellence in the Big Data Era”, the Learning and Teaching @EdUHK Festival 2018 is organised by the Centre for Learning, Teaching and Technology (LTTC), Faculty of Liberal Arts and Social Sciences (FLASS), Faculty of Education and Human Development (FEHD), Faculty of Humanities (FHM) and Graduate School (GS). The Festival serves as a platform for academic/teaching staff, postgraduate students of the University, and local/overseas academic/researchers to share innovative learning and teaching approaches, to promote the application of technology-enhanced pedagogies, and to exchange of teaching best practices. This Festival also aims to cultivate an encouraging environment to strive for teaching excellence within the University and to strengthen the links with regional and international partners.
Date: 25 May 2018 (Friday)
Time: 09:30 - 17:15
For registration, please click here.
09:30 - 10:00
Presentation of Student ePortfolio Award
Presentation of Certificate of Appreciation
10:00 - 10:45
|Keynote Speech 1
Big Data Supporting the Learning Journey in Higher Education
Professor David Gibson, Curtin University’s Director Learning Futures, the Education Theme Leader for the Curtin Institute of Computation and the UNESCO Chair of Data Science in Higher Education Learning and Teaching, is an educational researcher, professor, learning scientist and technology innovator. His research focuses on learning analytics, complex systems, web applications and the future of learning, and the use of technology to personalize education via cognitive modeling, design and implementation. He is creator of simSchool, an AI-based classroom flight simulator for preparing educators, and eFolio an online performance-based assessment system. He provides vision and sponsorship for Curtin University’s Challenge, a mobile, game-based team-learning platform.Abstract
Mining big data for insights to improve higher education enables a new level of evidence-based research into learning and teaching. Today, due to the fine-grained data captured during digital learning, it is possible to gain detailed insight into student performance and learning trajectories as required for personalizing and adapting curriculum as well as assessment. A new horizon of professional knowledge is needed, including new heuristics, which incline a researcher or teaching-researcher toward computational modeling when tackling complex research problems. Interdisciplinary teams are required, composed of people who can apply the cognitive, behavioral, social and emotional perspectives on learning to big data computational capabilities. This talk will explore these issues related to the journey of a learner from pre-university experiences, recruitment, personalized learning, adaptive curriculum and assessment resources and effective teaching, to post-university life-long learning.
|10:45 - 11:00||Tea Time|
11:00 - 13:15
|13:15 - 14:15||Lunch|
14:15 - 15:00
|Keynote Speech 2
Using Big Data and Small Data to Improve Your Teaching: Tests, Essays, Discussions, and Class activities
Ming Ming CHIU is Chair Professor of Analytics and Diversity in the Special Education and Counseling department at The Education University of Hong Kong. A graduate of Columbia (BS, Computer Science), Harvard (EdM, Interactive Technology) and UC-Berkeley (PhD, Math Education), he serves on the advisory board of mainland China’s Ministry of Education’s National Evaluation of Primary and Secondary Schools and advised the Qatar Ministry of Education and Higher Education on improving its schools. He invented (a) statistical discourse analysis to model online and face-to-face conversations (one of the best 50 learning science ideas –International Society of the Learning Sciences), (b) multilevel diffusion analysis to detect corruption in the music industry and the spread of ideas/behaviors, and (c) an artificial intelligence expert system, Statistician. He showed how economic growth, inequalities and cultural values affect nearly 500,000 students’ learning in 65 countries. Supported by 32 grants (HK$66 million), he disseminated his research through 176 publications (98 journal articles), 3 television broadcasts, 17 radio broadcasts, and 148 news articles in 21 countries. He is developing automatic analyses of online discussions and detection of online sexual predators.Abstract
Student work on computers is creating bigger data sets (homework, tests, essays, online forums), as are videotapes of classroom lessons. By combining computers, statistics, mathematics, and linguistics to analyze these big data (analytics), we can better understand our students’ strengths and weaknesses to inform our teaching. Illustrative cases include analytics of students’: (a) tests for easy vs. hard questions, poorly designed questions, bias (e.g., gender), and easily guessed answers; (b) essays for content and creativity; (c) online discussions for unproductive sequences to alert teachers; and (d) classroom activities for attention and engagement. Parallel to big data analytics, I also show how a teacher can do simple, informative analyses of small data (e.g., students in one class).
|15:00 - 15:15||Tea Time|
15:15 - 15:45
|Sharing of Faculties and Graduate School|
Why Global Engagement – from the Perspective of Postgraduate Students
|15:45 - 16:15||Faculty of Liberal Arts and Social Sciences: |
Sharing about Liberal Arts and Social Sciences – by Recipients of Faculty Teaching Awards
|16:15 - 16:45||Faculty of Education and Human Development:
|16:45 - 17:15||Faculty of Humanities: |
Effective Classroom Teaching and Learning in the Age of Big Data
This conference is also categorised as part of the Certificate Course “Introduction to Teaching in Higher Education”, under the Theme Seminars/Workshops in Learning and Teaching.
Open Class Observation
February – May 2018
Open class observations aim at sharing good learning and teaching strategies, and promoting a culture of experience sharing in teaching. All staff and students are welcome to join the classes shown as follows, please click here for registration.
|Date, Time & Venue||Topic|
|1 Feb 2018
13:30 - 16:20
|Business Communities & Industries. Community and ‘Agora’ (Market Place and Forum). Epistemology of Globalization
Students were given a Moodle Forum topic a week prior to the lecture. They should have written their own takes on it and have interacted with peers. At the start of the lecture, last week’s theme is revisited with and through students’ Moodle Forum posts, thus consolidating knowledge while raising students’ motivation. This approach also has some ‘flipped-classroom’ elements as the online Forum topic is linked to coming week’s lecture. There will be a student group presentation but instead of theories, we emphasize on the students’ opinion and analysis on a theme. Roughly, teacher-student ratio in the classroom participation should be around 50 & 50%.
by Dr. PARK Jae Hyung (IELL)
|1 Feb 2018
15:30 - 18:20
|Urban Literature: Desires, Mating and Narrative Formats（都市文學：慾望，擇偶與敘事形式）†
1. Blended-Learning: in a computer classroom, using Nearpod to enable the lecturer to manage content on students' computers or mobile devices. This software seamlessly combines interactive presentation, collaboration, and real-time assessment tools into one integrated solution.
2. integrating formal education (knowledge about literature studies) and informal learning (knowledge about life education: eg. love, marriage and mate selection in Post-Deng China)
by Dr. ZHOU Lulu (LCS)
|1 Feb 2018
18:30 - 21:20
|Overview of Developmental Theories
This session will provide an overview of some important theories in development of children and adolescents, e.g. ecological systems theory, psychosocial development theory, & moral development theory. Some critical issues in development in school contexts (e.g. nature and nurture) will be discussed through a simulated game.
by Dr. CHUNG Yiu Bun (PS)
|3 Feb 2018
15:30 - 16:20
by Dr. HO Chi Hang (CHL)
|8 Feb 2018
10:30 - 13:20
|The Rise of Korean Popular Music
I will start the class by delivering a lecture on the selected topic. 2 group presentations will be incorporate to facilitate the lecture content, followed by a short discussion on the required reading material. In the end, students will be asked to either write a short reflection or engage in a small group discussion to summarize and reflect on the selected topic.
by Dr. KANG Jong Hyuk David (LCS)
|27 Feb 2018
17:30 - 20:20
|Cognitive Neuroscience of Human Memory
Can you imagine a life without memory? How does the brain perform the amazing feat of, say, helping you remember that there is going to be a class about memory on Feb 27 2018? In this lesson, we will learn how the hippocampus, a seahorse-shaped structure deep in the brain, helps us encode new information as well as retrieve our past. We will explore how neuroscientists use multiple techniques to study the function of this structure. These techniques include testing patients with damage to the hippocampus, and measuring brain activities with tools such as EEG and fMRI while healthy individuals perform memory tasks.
by Dr. YEE Ting Sum Lydia (PS)
|5 Mar 2018
11:30 - 13:20
In 1990, approximately half of the population in the developing world lived on less than US$1.25 a day. By 2010, some 700 million people had been lifted out of poverty, dropping that rate to 22 percent. Poverty reduction in Asia contributed a lot in this process. This lecture will begin with how to measure poverty, followed by a review on the level of poverty in Asia during the past 30 years. Then, we will introduce some poverty relief policies and evaluate their performance in Asian countries.
by Dr. ZHOU Titi (APS)
|5 Mar 2018
13:30 - 16:20
This speaking lesson adopts a flipped classroom design to maximize teacher-student and student-student interactions. Before the lesson, students preview teaching materials uploaded to Moodle and complete an online quiz. An interactive quiz will be used to start the lesson to check students' understanding of the major teaching points. Then, individually, in pairs, and in groups, students will engage in a range of communicative and meaning-focused tasks to facilitate their application of knowledge. To facilitate collaboration and evaluation among students, a number of online tools will be used.
by Mr. CHONG Sin Wang Ivan (CLE)
|6 Mar 2018
12:30 - 15:20
|Folk Dance †
by Ms. WANG Sha (HPE)
|6 Mar 2018
18:30 - 21:20
|Function of School Education: Socialization學校教育的社會化功能*
The teacher will use video-clips and group discussion to explore and reflect on the meaning and process of ‘socialization’ in schools. Students’ experience as teachers will be used for further case studies.
by Mr. LI Chin Wa (IELL)
|7 Mar 2018
09:45 - 11:00
|Pre-school Safety Environment Setting and Assessment *
In this lesson, HD (ECE) students will be introduced to the concepts and practices of environmental safety in early childhood settings. They will also be provided with the methods of assessing and monitoring the safety conditions of early childhood settings. Lecturer will use some cases and outdoor activities to facilitate students’ learning.
by Dr. CHENG Yuen Ling Elaine (ECE)
|16 Mar 2018
09:30 - 11:20
|Development of Hong Kong Art I
The lecture will survey visual arts in the context of Hong Kong’s local and popular culture, ranging from local art, artists and architecture. Students will rethink the role of art and visuals in the formation of local and popular cultures, making reference to Hong Kong’s historical, social and cultural development.
by Dr. LAU Leung Kwok Prudence (CCA)
|17 Mar 2018
14:30 - 17:20
|Interaction in the English Language Classroom
This lesson will consider different possibilities for interaction in the English language classroom, including strengths and limitations of different classroom arrangements. In addition, one pair of students will lead a 25-minute microteaching demonstration.
by Dr. John Gilbert TRENT (ELE)
|11 Apr 2018
18:30 - 21:20
|Riemann Integrability and Fundamental Theorem of Calculus
A course on introductory analysis is almost mandatory in any undergraduate Mathematics programme. This course is required for all BEd (S) Math majors and minors in our university. It studies the theoretical underpinnings of Calculus. The course is partitioned into four main topics: Limits, Continuity, differentiability and Integrability. It starts with the rigorous definition of the limit of a sequence and progresses along the four topics ending with the Fundamental Theorem of Calculus.
by Dr. CHENG Kell Hiu Fai (MIT)
|12 May 2018
09:30 - 12:30
13:30 - 16:30
|Information Technology Enhanced Visualization of Science Phenomenon *
In this lesson for in-service science teachers, we will use various information technology to visualize various science phenomenon which are difficult to be observed in ordinary settings. Such techniques can enhance students’ understanding of abstract science phenomenon, and raise the interest of students in learning science.
by Dr. YEUNG Chi Ho Bill (SES)
* Language: Cantonese
† Language: Putonghua
March – May 2018
To promote the atmosphere of sharing good practices for learning and teaching enhancement, videos regarding 1) teaching awardees/experienced staff sharing their learning and teaching experiences as well as some innovative and vibrant teaching activities; and 2) e-Learning pedagogy presented by academic/teaching staff, will be broadcasted. All staff and students are welcome to watch the videos shown on the TVs in the corridor on LP of D2, G/F of B2 and D2, and in Canteen from March to May 2018.