A learning analytic platform for systematic intervention on computer programming courses (Record no. 68884)

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Classification number AIT Diss no.IM-23-03
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Piriya Utamachant
245 12 - TITLE STATEMENT
Title A learning analytic platform for systematic intervention on computer programming courses
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent 119 leaves :
Other physical details ill.+1 online
490 1# - SERIES STATEMENT
Series statement Dissertation ;
Volume/sequential designation no. IM-23-03
500 ## - GENERAL NOTE
General note A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Information Management, School of Engineering and Technology
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph.D.) - Asian Institute of Technology, 2023
520 ## - SUMMARY, ETC.
Summary, etc. The high non-progress rates of students in introductory programming courses have been continuously reported and become a persistent issue worldwide. Educators have been striving to improve instructional design and delivery methods aiming to en hance students{u2019} comprehension and ultimately increase their success rate. Neverthe less, it is essential to recognize that each class has its distinct characteristics, and while good instructional design and delivery are crucial, they can only contribute to part of the overall success. Instructors require competent intervention strategies to handle and elevate unforeseen situations that may arise in each course. This, in turn, presents another challenge of implementing effective intervention. Most instructors struggle to identify at-risk students to determine a proper intervention approach, to trace and to evaluate whether the intervention works. This process requires extensive effort and commitment, which is impractical, especially for large classes with few instructors. This dissertation proposes a platform, namely i-Ntervene, that integrates a Learning Management System (LMS), an automatic code grader, and learning analytic fea tures which can empower systematic learning intervention for large programming classes. The platform iteratively assesses student engagement levels and subject un derstanding to identify at-risk students and suggests aspects of intervention based on their lagging in these areas. Students{u2019} post-intervention data are traced and evaluated quantitatively to determine effective intervention approaches aligning with the evi dence-based research design. The i-Ntervene prototype was experimented with a Java programming course, delivered to 253 first-year undergraduate students. The result was satisfactory, as the instructors could successfully perform and evaluate 12 interventions throughout the semester with minimal administrative efforts. In addition to the proposed platform, the research introduces a longitudinal analysis to investigate the underlying issue of the high student failure rate in introductory programing courses. It examines the student-related factors that differentiate stu dents who failed the course for the first time and those who repeatedly failed from their successful peers, based on the longitudinal observation. These factors encom pass various aspects including student{u2019}s demographics, learning motivation & strategies, and engagement levels in learning activities. In this study, we analyzed three consecutive semesters of student data. The longitudinal analysis highlights three common learning motivations and strategies that should be enhanced for all non-progressing students: (1) self-efficacy, (2) effective time & environment man agement, and (3) the perception of the course{u2019}s importance and utility. For new stu dents enrolling for the first time, the results indicate that instructors should give pri ority to strengthening their intrinsic goal orientation and control of learning belief, while repeating students should concentrate on promoting their metacognitive self regulation. In terms of learning activities, instructors should primarily emphasize activities that involve coding practices, such as assignments and in-class exercises. Additionally, assistance should be easily accessible for students who encounter chal lenges during coding practices. The findings from the study provide a valuable con tribution to the research community by precisely addressing the issues of high stu dent failure in introductory programming courses.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Education
General subdivision Data processing
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Longitudinal method
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Educational tests and measurements
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Application software
General subdivision Development
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer programming
General subdivision Study and teaching
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Chutiporn Anutariya,
Relator term Chairperson
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Vatcharaporn Esichaikul,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Huynh, Trung Luong,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element National Science and Technology Development Agency (NSTDA), Thailand,
Relator term Scholarship Donor
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Royal Thai Government,
Relator term Scholarship Donor
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element AIT Fellowship,
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Dissertation ;
Volume/sequential designation no. IM-23-03
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B20481">http://203.159.5.9/ait-thesis/detail.php?q=B20481</a>
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CREATED CREATED : 2024-02-26
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Date last seen Price effective from Koha item type Barcode Copy number
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026   AIT Diss no.IM-23-03 18/08/2026 18/08/2026 67-Electronic Resource    
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026   AIT Diss no.IM-23-03 18/08/2026 18/08/2026 40-Archives 30050120899413 1
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