The best of both worlds? Integrating a MOOC into on-campus teaching

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Organized by Technology-Enriched Learning Initiative

Speaker: Dr. Masato Kajimoto, Journalism and Media Studies Centre
Date : 8 October, 2015 (Thursday)
Time : 12:45pm – 2:00pm
Venue : Room 321, 3/F, Run Run Shaw Building

Abstract:

Assistant Professor Dr. Masato Kajimoto from Journalism and Media Studies Centre taught the third iteration of HKU’s online course on edX titled HKU04x Making Sense of News from May to June 2015. The six-week course has attracted more than 7,500 registrations from 147 different countries. It has largely been seen as a successful implementation of journalism-focused media literacy course for the general public and he has been invited to give talks and workshops by different universities that focus on news literacy education.

In this talk, Dr. Kajimoto shares the findings of his investigation into the behavioral data mined through the MOOC in order to illustrate what educators could learn from the learning analytics in terms of curriculum development, instructional design strategies and other pedagogical planning. He then discusses how he has integrated the MOOC into his on-campus teaching.

In order to explore the effective ways to “blend” the two modes of learning experience for the students (namely, face-to-face interactions and self-paced online tuition), he has “flipped” a half of his lectures in the elective course, JMSC1001 Principles of Journalism and the News Media, this semester, which enrolled 127 students from different faculties. He demonstrates how the content has been migrated from edX platform to Moodle while showcasing some of the benefits and challenges he has observed thus far in his experiment.

Please send enquiries to Miss Bonnie Yu at yka0201@hku.hk.

Moodle tips – New function “Moodle Student Performance by Percentile” & training news

Message from Information Technology Services

Dear teachers/staff,

(1) New Moodle function “Moodle Student Performance by Percentile”

It shows the students’ performance in a Moodle course by 25th, 50th and 75th percentile according to the students’ results in the Moodle Gradebook. This provides information about the performance of the class and may help the teacher give appropriate advice to the students as the course is in progress.

More information about “Moodle Student Performance by Percentile” can be found at http://moodle-support.hku.hk/moodle-student-performance-percentile

The web page “Moodle Student Performance by Percentile” is accessible via HKU Portal -> “My eLearning” tab -> choose a Moodle course -> click the hyperlink in “Course specific information” section at the bottom of the web page.

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(2) Learning Management System (Moodle) and Lecture Capture Service (Panopto) training workshops in September 2015 is now available for registration

Workshops on Moodle and Panopto

Course Code Course Title Date Time Venue Registration
PAN-001 Introduction to Lecture Capture Service using the “Panopto” system 23 Sep, 2015 (Wed) 3:00pm – 4:00pm CPD-G.03 Register
PAN-002 Edit, Share and Output Panopto Video Recording 23 Sep, 2015 (Wed) 4:00pm – 5:00pm CPD-G.03 Register
PAN-004 Share existing video files to a Moodle course using Panopto Unison 23 Sep, 2015 (Wed) 5:00pm – 5:30pm CPD-G.03 Register
MOD-002 Moodle Hands-on Workshop on Assignments, Choices and Quizzes 30 Sep, 2015 (Wed) 10:00am – 11:00am KB110 Register
MOD-005 Moodle Hands-on Workshop on Turnitin and GradeMark 30 Sep, 2015 (Wed) 11:30am – 12:30pm KB110 Register

Note:
(1) CPD-G.03 = Room G.03, Central Podium (CPD), Centennial Campus
CPD-3.21 = Room 3.21, Central Podium (CPD), Centennial Campus

Please register by clicking the “Register” hyperlinks. The details are shown at http://moodle-support.hku.hk/training/ITS-all .

For more information and inquiry on Moodle and Panopto training and support, feel free to email: eLearningTeam@hku.hk

Best Regards,

Ada Yau
e-learning Team
Information Technology Services

CITE Seminar – Automated Analysis of Student Contributions and Behaviors

Message from Centre for Information Technology in Education within the Faculty of Education

CITE Seminar Series 2015/2016

CITE Seminar – Automated Analysis of Student Contributions and Behaviors

Date: 23 September 2015 (Wednesday)
Time: 12:45 pm – 2:00 pm
Venue: Room 104, 1/F., Runme Shaw Building, The University of Hong Kong
Speaker: Dr. Xiao Hu, Faculty of Education, The University of Hong Kong
Chair: Dr. Allan Yuen, Associate Professor, Faculty of Education, The University of Hong Kong

About the Seminar
Learning analytics is an emerging and fast growing multidisciplinary field in which data about learners and their contexts are analyzed for understanding and optimizing learning and learning environments. This seminar will discuss two recent and ongoing studies in learning analytics. The first study is on automated analysis of student comments on Wikis of group writing projects. Association rule mining and text categorization are applied to analyze and automatically classify student comments into categories in social interaction, thinking process and thinking development. The second study is to predict student performance based on system logs in Learning Management Systems (LMS). Linear regression with feature selection is used to build prediction models. A framework is proposed to link LMS logs, assessment tasks and learning outcomes. The goal is to design and develop a tool for instructors and students to monitor learning progress in real-time.

About the Speaker
Dr. Xiao Hu is an Assistant Professor in the Division of Information and Technology Studies in the Faculty of Education of the University of Hong Kong. Her research interests include learning analytics, applied data/text mining, and information retrieval. She is leading several projects on using learning analytics to improve teaching and learning, and has co-organized Learning Analytics Summer Institute, LASI-Hong Kong in 2013 and 2014. Dr. Hu has experience and background in multiple disciplines. Before joining HKU she was an Assistant Professor in the Morgridge College of Education at the University of Denver. Dr. Hu holds a PhD degree in Library and Information Science and a Master’s degree in Computer Science from University of Illinois at Urbana-Champaign, a Master’s degree in Electrical Engineering from Beijing University of Posts and Telecommunications, and a Bachelor’s degree in Electronics and Information Systems from Wuhan University.

Please register at
http://www.cite.hku.hk/news.php?id=546&category=seminar