2021Unpublished venueOpen access

Supporting learning in large classes: online formative assessment and automated feedback

Olga Pishchukhina, Angela Allen

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Abstract

The provision of formative assessment and formative feedback is challenging for an educator working with large cohorts of students. To avoid being overwhelmed with the volume of work, appropriate technologies need to be selected to support learners and scale the module assessment and delivery to accommodate the size of the class. This paper presents the results of implemented online formative assessment delivery for a large postgraduate cohort of both full- and part-time students. We experimented with early and frequent student access to online formative assessment followed by immediate automated feedback. We review the impact of this assessment regime on student experience and achievement of learning outcomes. End-of-term student feedback indicates that frequent online quizzes, formative feedback and repetitive practicing were very well received by the students. We observe sustained levels of student engagement through data collected during student interaction with online module content and assessment. Analysis of the data has determined that the quizzes which had the highest number of attempts showed strong correlation with the highest student scores at the end-of-term exam. Such an experiment reflects how students learn via online content delivery and make use of available learning technologies for self-directing and practicing in computing subject. Frequent access to online formative assessment tool followed by immediate automated feedback helps to create effective learning environment and accommodate learners in large full-time and part-time classes.

About this research paper

What this paper is about

The provision of formative assessment and formative feedback is challenging for an educator working with large cohorts of students. To avoid being overwhelmed with the volume of work, appropriate technologies need to be selected to support learners and scale the module assessment and delivery to accommodate the size of the class. This paper presents the results of implemented online formative assessment delivery for a large postgraduate cohort of both full- and part-time students. We experimented with early and frequent student access to online formative assessment followed by immediate automated feedback. We review the impact of this assessment regime on student experience and achievement of learning outcomes. End-of-term student feedback indicates that frequent online quizzes, formative feedback and repetitive practicing were very well received by the students. We observe sustained levels of student engagement through data collected during student interaction with online module content and assessment. Analysis of the data has determined that the quizzes which had the highest number of attempts showed strong correlation with the highest student scores at the end-of-term exam. Such an experiment reflects how students learn via online content delivery and make use of available learning technologies for self-directing and practicing in computing subject. Frequent access to online formative assessment tool followed by immediate automated feedback helps to create effective learning environment and accommodate learners in large full-time and part-time classes.

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Available abstract

The provision of formative assessment and formative feedback is challenging for an educator working with large cohorts of students. To avoid being overwhelmed with the volume of work, appropriate technologies need to be selected to support learners and scale the module assessment and delivery to accommodate the size of the class. This paper presents the results of implemented online formative assessment delivery for a large postgraduate cohort of both full- and part-time students. We experimented with early and frequent student access to online formative assessment followed by immediate automated feedback. We review the impact of this assessment regime on student experience and achievement of learning outcomes. End-of-term student feedback indicates that frequent online quizzes, formative feedback and repetitive practicing were very well received by the students. We observe sustained levels of student engagement through data collected during student interaction with online module content and assessment. Analysis of the data has determined that the quizzes which had the highest number of attempts showed strong correlation with the highest student scores at the end-of-term exam. Such an experiment reflects how students learn via online content delivery and make use of available learning technologies for self-directing and practicing in computing subject. Frequent access to online formative assessment tool followed by immediate automated feedback helps to create effective learning environment and accommodate learners in large full-time and part-time classes.

Key concepts: Formative assessment, Online assessment, Computer science, Class (philosophy), Online learning, Knowledge survey, Multimedia, Medical education

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