王琳　李广玉　纪奕欣　王涛

摘 要 学业预警通过对学生学习过程中的学业指标进行分析，整合学生学习中的不利表现，对学生进行警示、劝告，并采取一定教育、引导措施，可以帮助发现学生群体中存在学业问题的学生，及时开展相应学业帮扶，避免走向退学的不利境地。本研究旨在通过一系列指标对高校学生学习行为进行量化评估，对于全体学生进行定期评估，筛选出处于不利情况学业情况的学生，并及时采取相应学业帮扶措施。本研究综合多种学习行为影响因素，能够全面细致评估学生的整体情况和单一因素表现，设定相应学业预警分级体系，旨在为学生学业预警做出贡献。

关键词 学生学习行为 量化评估 远程学习保障 学业预警

中图分类号：G647                                   文献标识码：A    DOI：10.16400/j.cnki.kjdks.2021.01.083

Abstract By analyzing the academic indicators in the process of students' learning， the academic early warning integrates the adverse performance of students' learning， warns and advises students， and takes certain education and guidance measures. It can help to find students with academic problems in the student group， carry out corresponding academic assistance in time， and avoid the disadvantage of dropping out. The purpose of this study is to quantitatively evaluate the learning behavior of college students through a series of indicators， regularly evaluate all the students， screen out the students who are in a disadvantageous academic situation， and take the corresponding academic assistance measures in time. This study integrates a variety of learning behavior influencing factors， can comprehensively and carefully evaluate the overall situation of students and the performance of a single factor， set up the corresponding academic early warning grading system， in order to contribute to students' academic early warning.

Keywords students' learning behavior; quantitative evaluation; distance learning guarantee; academic warning

2020年上半年远程自主学习浪潮席卷全国，[1]教学资源可随时观看、学习资料丰富多样的优点为教育带来了革新理念 ，[2，3]然而由于教学管理工作者无法与学生面对面交流，也给发现帮助重点同学带来了困难。[4]往往一个学生集体中，大多数学生都能够自律的开展学习和生活，而存在学业困难和心理问题的这部分同学是需要被重点关注的学生。如何对此类学生进行全面的帮扶提升，保证每一个学生不掉队，关注帮扶需要帮助的学生，成为教育界十分关注和亟待解决的问题。

本研究基于科学化的高校学生学习行为表现量化评估体系，利用大量数据充分挖掘学生个性化特点，[5]筛选出需要重点关注的学业困难学生，并建立相关联的学业预警体系，开展精准化学业帮扶工作。……