Empirical Evaluation of a Differentiated Assessment of Data Structures: The Role of Prerequisite Skills

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Title: Empirical Evaluation of a Differentiated Assessment of Data Structures: The Role of Prerequisite Skills
Language: English
Authors: Marjahan Begum, Pontus Haglund, Ari Korhonen, Violetta Lonati, Mattia Monga, Filip Strömbäck, Artturi Tilanterä
Source: Informatics in Education. 2024 23(1):57-99.
Availability: Vilnius University Institute of Mathematics and Informatics, Lithuanian Academy of Sciences. Akademjos str. 4, Vilnius LT 08663 Lithuania. Tel: +37-5-21-09300; Fax: +37-5-27-29209; e-mail: info@mii.vu.lt; Web site: https://infedu.vu.lt/journal/INFEDU
Peer Reviewed: Y
Page Count: 43
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Tests/Questionnaires
Education Level: Higher Education
Postsecondary Education
Descriptors: Foreign Countries, College Students, Prerequisites, Computer Science Education, Data Collection, Measurement Objectives, Test Reliability, Alternative Assessment, Evaluation Methods
Geographic Terms: Sweden, Finland
ISSN: 1648-5831
2335-8971
Abstract: There can be many reasons why students fail to answer correctly to summative tests in advanced computer science courses: often the cause is a lack of prerequisites or misconceptions about topics presented in previous courses. One of the ITiCSE 2020 working groups investigated the possibility of designing assessments suitable for differentiating between fragilities in prerequisites (in particular, knowledge and skills related to introductory programming courses) and advanced topics. This paper reports on an empirical evaluation of an instrument focusing on data structures, among those proposed by the ITiCSE working group. The evaluation aimed at understanding what fragile knowledge and skills the instrument is actually able to detect and to what extent it is able to differentiate them. Our results support that the instrument is able to distinguish between some specific fragilities (e.g., value vs. reference semantics), but not all of those claimed in the original report. In addition, our findings highlight the role of relevant skills at a level between prerequisite and advanced skills, such as program comprehension and reasoning about constraints. We also suggest ways to improve the questions in the instrument, both by improving the distractors of the multiple-choice questions, and by slightly changing the content or phrasing of the questions. We argue that these improvements will increase the effectiveness of the instrument in assessing prerequisites as a whole, but also to pinpoint specific fragilities.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1428763
Database: ERIC
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  Data: Vilnius University Institute of Mathematics and Informatics, Lithuanian Academy of Sciences. Akademjos str. 4, Vilnius LT 08663 Lithuania. Tel: +37-5-21-09300; Fax: +37-5-27-29209; e-mail: info@mii.vu.lt; Web site: https://infedu.vu.lt/journal/INFEDU
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  Data: There can be many reasons why students fail to answer correctly to summative tests in advanced computer science courses: often the cause is a lack of prerequisites or misconceptions about topics presented in previous courses. One of the ITiCSE 2020 working groups investigated the possibility of designing assessments suitable for differentiating between fragilities in prerequisites (in particular, knowledge and skills related to introductory programming courses) and advanced topics. This paper reports on an empirical evaluation of an instrument focusing on data structures, among those proposed by the ITiCSE working group. The evaluation aimed at understanding what fragile knowledge and skills the instrument is actually able to detect and to what extent it is able to differentiate them. Our results support that the instrument is able to distinguish between some specific fragilities (e.g., value vs. reference semantics), but not all of those claimed in the original report. In addition, our findings highlight the role of relevant skills at a level between prerequisite and advanced skills, such as program comprehension and reasoning about constraints. We also suggest ways to improve the questions in the instrument, both by improving the distractors of the multiple-choice questions, and by slightly changing the content or phrasing of the questions. We argue that these improvements will increase the effectiveness of the instrument in assessing prerequisites as a whole, but also to pinpoint specific fragilities.
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      – Text: English
    PhysicalDescription:
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        PageCount: 43
        StartPage: 57
    Subjects:
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: College Students
        Type: general
      – SubjectFull: Prerequisites
        Type: general
      – SubjectFull: Computer Science Education
        Type: general
      – SubjectFull: Data Collection
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      – SubjectFull: Measurement Objectives
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      – SubjectFull: Test Reliability
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      – SubjectFull: Evaluation Methods
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      – SubjectFull: Sweden
        Type: general
      – SubjectFull: Finland
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      – TitleFull: Empirical Evaluation of a Differentiated Assessment of Data Structures: The Role of Prerequisite Skills
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