揭示影响spoc支持课程的关键因素——中国科技大学数据结构课程的数据与调查分析

2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT) Pub Date : 2016-07-01 DOI:10.1109/ICALT.2016.107

Qiming Huang

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引用次数: 6

摘要

北京科技大学2015年秋季学期的spoc支持的数据结构(DS)课程是通过北京科技大学课程中心和清华在线裁判(OJ)系统创建的。通过分析课程中心、OJ和期末考试的数据，揭示影响spoc支持的DS课程的关键客观因素;通过分析我校DS课程学生的调查，揭示影响spoc支持的DS课程的关键主观因素。提出了一项挑战，以提高spoc支持课程的教学效率。

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Reveal the Key Factors in Affacting the SPOC-Supported Course: Data and Survey Analysis for Data Structures Course in USTB

SPOC-supported Data Structures (DS) course during the Autumn 2015 semester in University of Science and Technology Beijing (USTB) was created over the USTB course center and Tsinghua Online Judge (OJ) system. Data from the course center, OJ and terminal exam is analyzed to reveal the key objective factors in affecting SPOC-supported DS course, and survey from the students in our DS course is analyzed to reveal the key subjective factors in affecting the SPOC-supported DS course. A challenge has been submitted to improve the teaching effectiveness of the SPOC-supported course.

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2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)

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