Open Trends Assessment and Accreditation - Massive Open Online Courses (MOOCs) - Emerging Trends in Assessment and Accreditation

Oct 15, 2026

Uploaded by dhado

2014年MOOCs预计将带来注册量的爆发式增长，规模化学习使教师难以对作业进行逐一批改与评估。文中指出，学习者在MOOCs产生的大量行为与学习数据可用于构建与迭代自动化评估方法。面向选择题、数学问题与论文等任务，智能系统可实现自动评分并提供反馈，从而提升评估一致性与客观性，同时为学习过程与学习成效提供支持。文章回顾MOOCs评估的前沿趋势及其促进学习与成就的应用，并总结如何最大化学习结果。

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages12

Reading Time30 min

AccessFree to download

I. Introduction

MOOC growth and assessment challenges

II. Emerging Trends and MOOC Taxonomy

The US Department Initiative

ACE Credit Recommendation

Open Trends Assessment and Accreditation Massive Open Online Courses (MOOCS): Emerging Trends in Assessment and Accreditation Amit Chauhan [ac11ak@my.fsu.edu](ac11ak@my.fsu.edu) Florida State University, USA Abstract In 2014, Massive Open Online Courses (MOOCs) are expected to witness a phenomenal growth in student registration compared to the previous years (Lee, Stewart, & Claugar-Pop, 2014) . As MOOCs continue to grow in number, there has been an increasing focus on assessment and evaluation . Because of the huge enrollmentsin a MOOC, it is impossible for the instructor to grade homework and evaluate each student. The enormous data generated by learners in a MOOC can be used for developing and refining automated assessment techniques . As a result, “Smart Systems” are being designed to track and predict learner behavior while completing MOOC assessments . These automated assessments for MOOCs can automatically score and provide feedback to students multiple choice questions, mathematical problems and essays . Automated assessments help teachers with grading and also support students in the learning processes . These assessments are prompt, consistent, and support objectivity in assessment and evaluation (Ala-Mutka, 2005) . This paper reviews the emerging trends in MOOC assessments and their application in supporting student learning and achievement. The paper concludes by describing how assessment techniques in MOOCs can help to maximize learning outcomes . Keywords: MOOCs; automated assessments ; smart systems; automated grading; automated feedback; learning and achievement; assessment and evaluation A. Chauhan Digital Education Review-Number 25, June 2014-[http://greav.ub.edu/der/](http://greav.ub.edu/der/ 7)[ 7](http://greav.ub.edu/der/ 7) I. Introduction In 2014, Massive Open Online Courses are expected to see a 100% rise in student registration (Lee, Stewart, & Claugar-Pop, 2014) . This prediction comes two years after the New York Times labeled 2012 as the “Year of the MOOCs”. MOOCs continue to grow with more universities and institutions getting into the fray to offer these courses to learners from all around the world. While the three major MOOC providers – Coursera ([https://www.coursera.org](https://www.coursera.org)), Udacity ([https://www.udacity.com](https://www.udacity.com)), and edX ([https://www.edx.org](https://www.edx.org)) are based in the US, 2013 has been witness to the launch of startupsin other countries – France based France Université Numerique ([http://www.france-universite](http://www.france-universite)[numerique.fr](numerique.fr)); FutureLearn ([https://www.futurelearn.com](https://www.futurelearn.com) ) in the UK; Open2Study ( [https://www.open2study.com](https://www.open2study.com)) in Australia, and iversity ([https://iversity.org](https://iversity.org)) in Germany (Shah, 2013) . This paper contributes to the growing literature on the current assessment techniques and trends in MOOCs . The paper begins by providing a brief overview of the government support for MOOCs that has relevance to assessment and accreditation of MOOCs including the universalization of education . The paper then discusses MOOC taxonomy since it has either direct or indirect relevance to the assessment design and development in a MOOC. The paper provides case examples of MOOCs which have adopted automated assessment techniques including emerging tools and technology. Finally, the paper concludes how various MOOC assessments can help support student learning and achievement. II. Emerging Trends and MOOC Taxonomy The number of course offerings by the MOOC providers and student enrollments continue to grow even as the completion rates have been abysmal. Research has shown that the completion rates are below 10%(Jordan, 2013) . The growing popularity of MOOCs makes it impossible to ignore the emerging trends in online education . The existing infrastructure and resources need to stay up-tospeed wi

FAQs

为什么大规模MOOCs需要自动化评估？

由于MOOCs学员数量巨大，教师难以完成对作业的逐一批改与评估。自动化评估能借助学习者数据实现可扩展的评分与反馈。

自动化评估在MOOCs中可以覆盖哪些题型？

文中提到自动化评估能够对多选题、数学问题以及论文等内容进行自动评分，并向学习者提供反馈。

文章如何看待MOOC评估与学习成就的关系？

文章认为智能系统带来的及时、稳定且更具客观性的评估，有助于支持学习过程，并最终帮助最大化学习结果与学习成效。

Oct 15, 2026

Uploaded by dhado