人工智能“多元化全程性阶梯式”教学研究与实践

Research and Practice of “Multi-Step Whole Course” for Artificial Intelligence Teaching

摘要: 针对高校人工智能教学面临的新形式，经过不断实践与改进，总结提出了“多元化全程性阶梯式”的教学模式。该模式重点突出对学生计算思维、实践能力和创新能力的培养，也注重培养学生良好的人工智能道德观和落实课程思政的育人任务。其方法与措施为“一诺双述三评”：“一诺”是明确教学目标与任务，是人工智能教学团队潜心“教–研”与学生努力“学–用”的公开承诺；“双述”是激励监管机制，督促兑现承诺；“三评”是多元化监管和全程性考核措施。通过“一诺双述三评”的措施，力求在“教–学–训–用”链条中形成环环相扣协调发展的良好局面，最终在“学生的考核优秀率、学生的兴趣小组的数量与质量、学生的参赛率、获奖率与获奖层次、教师指导团队的综合素质以及师生之间的认可度与满意度”等五个方面得到全面提升，切实提高师生的综合素质。

Abstract: According to artificial intelligence teaching in colleges and universities, this paper summarizes and puts forward the teaching model of “multi-step and whole course”. This model emphasizes the cultivation of students’ computational thinking, practical ability and innovation ability, and also pays attention to cultivating students’ good artificial intelligence ethics and implementing the task of educating students. Its methods and measures are “one promise, two statements and three comments”: “one promise” is a clear teaching goal and task, and it is an open commitment of the artificial intelligence teaching team to concentrate on “teaching-research” and students’ efforts to “learn-use”; “Double statement” is to stimulate the regulatory mechanism and supervise the fulfillment of commitments; “Three comments” is a diversified supervision and full assessment measures. Through the measures of “One promise, two statements and three comments”, we strive to form a good situation of interlocked and coordinated development in the chain of “teaching – learning – training - using”. As the good results, the five aspects such as “excellent rate of students’ assessment, the quantity and quality of students’ interest groups, the rate of students’ participating in competitions, the rate of winning prizes and the level of winning prizes, the comprehensive quality of Teachers’ guidance team and the recognition and satisfaction degree between teachers and students” have been comprehensively promoted, improving the comprehensive quality of teachers and students.