In Search of Quality: Using Quality Matters to Analyze the Quality of Massive, Open, Online Courses (MOOCs)

被引:1
|
作者
Lowenthal, Patrick R. [1 ]
Hodges, Charles B. [2 ]
机构
[1] Boise State Univ, Boise, ID 83725 USA
[2] Georgia Southern Univ, Statesboro, GA USA
来源
INTERNATIONAL REVIEW OF RESEARCH IN OPEN AND DISTRIBUTED LEARNING | 2015年 / 16卷 / 05期
关键词
Massive Open Online Courses; MOOCs; Online Learning; Course Quality; Instructional Design; Quality Matters; Quality Assurance;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The concept of the massive, open, online course (MOOC) is not new, but high-profile initiatives have moved MOOCs into the forefront of higher education news over the past few years. Members of institutions of higher education have mixed feelings about MOOCs, ranging from those who want to offer college credit for the successful completion of MOOCs to those who fear MOOCs are the end of the university as we know it. We set forth to investigate the quality of MOOCs by using the Quality Matters quality control framework. In this article, we present the results of our inquiry, with a specific focus on the implications the results have on day-to-day practice of designing online courses.
引用
收藏
页码:83 / 101
页数:19
相关论文
共 50 条
  • [21] Perceived user satisfaction and intention to use massive open online courses (MOOCs)
    Irma Pozón-López
    Elena Higueras-Castillo
    Francisco Muñoz-Leiva
    Francisco J. Liébana-Cabanillas
    Journal of Computing in Higher Education, 2021, 33 : 85 - 120
  • [22] Perceived user satisfaction and intention to use massive open online courses (MOOCs)
    Pozon-Lopez, Irma
    Higueras-Castillo, Elena
    Munoz-Leiva, Francisco
    Liebana-Cabanillas, Francisco J.
    JOURNAL OF COMPUTING IN HIGHER EDUCATION, 2021, 33 (01) : 85 - 120
  • [23] Evaluation of Massive Open Online Courses (MOOCs) From the Learner's Perspective
    Nkuyubwatsi, Bernard
    PROCEEDINGS OF THE 12TH EUROPEAN CONFERENCE ON E-LEARNING (ECEL 2013), 2013, : 340 - 346
  • [24] TECHNIQUE OF ONLINE-LEARNING DATA ANALYTICS AS A TOOL FOR IMPROVING QUALITY OF THE MASSIVE OPEN ONLINE COURSES
    Larionova, Viola
    Sinitsyn, Evgueny
    Bystrova, Tatiana
    Tolmachev, Alexander
    11TH INTERNATIONAL CONFERENCE OF EDUCATION, RESEARCH AND INNOVATION (ICERI2018), 2018, : 148 - 157
  • [25] Massive Open Online Courses (MOOCS): Emerging Trends in Assessment and Accreditation
    Chauhan, Amit
    DIGITAL EDUCATION REVIEW, 2014, (25): : 7 - +
  • [26] A PROPOSED FRAMEWORK FOR AN ADAPTIVE LEARNING OF MASSIVE OPEN ONLINE COURSES (MOOCs)
    Alzaghoul, Ahmed
    Tovar, Edmundo
    PROCEEDINGS OF 2016 13TH INTERNATIONAL CONFERENCE ON REMOTE ENGINEERING AND VIRTUAL INSTRUMENTATION (REV), 2016, : 127 - 132
  • [27] MOOCs Recommender System: A Recommender System for the Massive Open Online Courses
    Ouertani, Henda Chorfi
    Alawadh, Monerah Mohammed
    INNOVATIONS IN SMART LEARNING, 2017, : 137 - 140
  • [28] Lessons we learned when creating four Massive Open Online Courses (MOOCs)
    Danner, Aaron J.
    Lim, Cheryl Jing Yi
    Ng, Qi Hao
    SEVENTEENTH CONFERENCE ON EDUCATION AND TRAINING IN OPTICS AND PHOTONICS: ETOP 2023, 2023, 12723
  • [29] Quality Assurance in Online Education: A Development Process to Design High-Quality Courses
    Paniagua, Fernando G.
    SOCIAL COMPUTING AND SOCIAL MEDIA: COMMUNICATION AND SOCIAL COMMUNITIES, SCSM 2019, PT II, 2019, 11579 : 182 - 194
  • [30] Massive Open Online Courses (MOOCs) for Ethiopian Educators: Evaluating MOOCs as a global development tool
    Berde, Eva
    Mengesha, Seyoum Teffera
    Mola, Belaynew Asrie
    Remsei, Sandor
    RESEARCH IN GLOBALIZATION, 2024, 9