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Charlotte Van Petegem
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2 changed files with 145 additions and 12 deletions
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bibliography.bib
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bibliography.bib
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@ -855,6 +855,20 @@
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file = {/home/charlotte/sync/Zotero/storage/X4THCVSY/cronfa43520.html}
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}
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@techreport{danielsonFinalReportAutomated1976,
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title = {Final {{Report}} on the {{Automated Computer Science Education System}}},
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author = {Danielson, R. L. and Others, And},
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year = {1976},
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month = jun,
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url = {https://eric.ed.gov/?id=ED125599},
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urldate = {2024-02-07},
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abstract = {At the University of Illinois at Urbana, a computer based curriculum called Automated Computer Science Education System (ACSES) has been developed to supplement instruction in introductory computer science courses or to assist individuals interested in acquiring a foundation in computer science through independent study. The system, which uses PLATO terminals, is presently in routine use in several courses at the University of Illinois, and it has been used at Wright Community College in Chicago. Recent changes in programing and technical innovations have increased its instructional effectiveness. The first section of this report describes the goals and design of ACSES. Later sections provide yearly reviews of progress made for the duration of a grant from the National Science Foundation. (EMH)},
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langid = {english},
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keywords = {Annual Reports,Computer Assisted Instruction,Computer Science Education,Higher Education,Independent Study},
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annotation = {ERIC Number: ED125599},
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file = {/home/charlotte/sync/Zotero/storage/PSFFZRJP/Danielson and Others - 1976 - Final Report on the Automated Computer Science Edu.pdf}
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}
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@article{dawsonAssessmentRubricsClearer2017,
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title = {Assessment Rubrics: Towards Clearer and More Replicable Design, Research and Practice},
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shorttitle = {Assessment Rubrics},
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@ -1115,6 +1129,15 @@
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file = {/home/charlotte/sync/Zotero/storage/L63BQ9D6/Elbadrawy et al. - 2016 - Predicting Student Performance Using Personalized .pdf;/home/charlotte/sync/Zotero/storage/2K9HRDGJ/7452320.html}
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}
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@inproceedings{engelbart1968research,
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title = {A Research Center for Augmenting Human Intellect},
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booktitle = {Proceedings of the {{December}} 9-11, 1968, Fall Joint Computer Conference, Part {{I}}},
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author = {Engelbart, Douglas C and English, William K},
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year = {1968},
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pages = {395--410},
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file = {/home/charlotte/sync/Zotero/storage/W5GNPHGI/Engelbart and English - 1968 - A research center for augmenting human intellect.pdf}
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}
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@article{epsteinImmediateFeedbackAcademic2001,
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title = {Immediate {{Feedback}} during {{Academic Testing}}},
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author = {Epstein, Michael L. and Epstein, Beth B. and Brosvic, Gary M.},
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@ -1639,6 +1662,23 @@
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file = {/home/charlotte/sync/Zotero/storage/JS69Q9SX/Hollingsworth - 1960 - Automatic graders for programming classes.pdf}
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}
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@article{hungAutomaticProgrammingAssessment1993,
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title = {Automatic Programming Assessment},
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author = {Hung, Sheung-Lun and Kwok, Iam-For and Chan, Raymond},
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year = {1993},
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month = mar,
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journal = {Computers \& Education},
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volume = {20},
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number = {2},
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pages = {183--190},
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issn = {0360-1315},
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doi = {10.1016/0360-1315(93)90086-X},
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url = {https://www.sciencedirect.com/science/article/pii/036013159390086X},
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urldate = {2024-02-07},
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abstract = {Software metrics have been used extensively to provide quantitative measures of software characteristics. This paper aims at evaluating the relevance of using software metrics as means of assessing students' performance in programming. The study focusses on the use of four basic software metrics which are combined to form a single assessment score. The four metrics are respectively those which measure programming skill, complexity, programming style and programming efficiency. Measurements suggested that the lines of code metric is a good candidate for measuring programming skill. McCabe's cyclomatic complexity metrics have been adopted for measuring program complexity. Program execution times are used as the measuring yardsticks for programming efficiency. To facilitate automatic assessment, a program analyzer has been constructed which can provide measures of all the relevant software metrics together with the appropriate assessment scores. The tool was tested with sample assignments of Pascal programs and good distribution of marks has been obtained.},
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file = {/home/charlotte/sync/Zotero/storage/TI5Q63PJ/hung1993.pdf.pdf;/home/charlotte/sync/Zotero/storage/37JRXCS4/036013159390086X.html}
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}
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@article{huntFastAlgorithmComputing1977,
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title = {A Fast Algorithm for Computing Longest Common Subsequences},
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author = {Hunt, James W. and Szymanski, Thomas G.},
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@ -1723,6 +1763,18 @@
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file = {/home/charlotte/sync/Zotero/storage/IW5SWITR/Insa and Silva - 2018 - Automatic assessment of Java code.pdf;/home/charlotte/sync/Zotero/storage/VY7F759E/S1477842417301045.html}
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}
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@article{isaacson1989automating,
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title = {Automating the Execution of Student Programs},
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author = {Isaacson, Peter C and Scott, Terry A},
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year = {1989},
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journal = {ACM SIGCSE Bulletin},
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volume = {21},
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number = {2},
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pages = {15--22},
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publisher = {{ACM New York, NY, USA}},
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file = {/home/charlotte/sync/Zotero/storage/XVVKJK4A/Isaacson and Scott - 1989 - Automating the execution of student programs.pdf}
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}
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@inproceedings{jacksonGradingStudentPrograms1997,
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title = {Grading Student Programs Using {{ASSYST}}},
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booktitle = {Proceedings of the Twenty-Eighth {{SIGCSE}} Technical Symposium on {{Computer}} Science Education},
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@ -2721,6 +2773,21 @@
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file = {/home/charlotte/sync/Zotero/storage/I8LFXN35/Nidhra and Dondeti - 2012 - Black box and white box testing techniques-a liter.pdf}
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}
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@techreport{nievergeltACSESAutomatedComputer1976,
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title = {{{ACSES}}: {{The Automated Computer Science Education System}} at the {{University}} of {{Illinois}}},
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shorttitle = {{{ACSES}}},
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author = {Nievergelt, J. and Others, And},
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year = {1976},
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month = aug,
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url = {https://eric.ed.gov/?id=ED134229},
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urldate = {2024-02-07},
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abstract = {The Automated Computer Science Educational System (ACSES) has been developed at the University of Illinois for the purpose of providing improved education for the large number of students taking introductory computer science courses. The major components of this system are: a library of instructional lessons, an interactive programing system with excellent error diagnostics, an information retrieval system, an automated exam and quiz system, and several lessons which judge student programs. This report briefly describes each of these components, as well as some ideas on programing language design resulting from this experience, and presents an evaluation of the use of the system over the past three years. (Author)},
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langid = {english},
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keywords = {Artificial Intelligence,College Curriculum,Computer Assisted Instruction,Computer Science Education,Information Retrieval,Instructional Innovation,Instructional Systems,Online Systems,Programing Languages},
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annotation = {ERIC Number: ED134229},
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file = {/home/charlotte/sync/Zotero/storage/S56CZBGA/Nievergelt and Others - 1976 - ACSES The Automated Computer Science Education Sy.pdf}
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}
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@article{nirmalakhandanTeachingToolsPromote2007,
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title = {Teaching {{Tools}} to {{Promote Active Learning}}: {{Case Study}}},
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shorttitle = {Teaching {{Tools}} to {{Promote Active Learning}}},
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@ -3104,6 +3171,24 @@
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abstract = {Predicting the performance of a student is a great concern to the higher education managements. The scope of this paper is to identify the factors influencing the performance of students in final examinations and find out a suitable data mining algorithm to predict the grade of students so as to a give timely and an appropriate warning to students those who are at risk. In the present investigation, a survey cum experimental methodology was adopted to generate a database and it was constructed from a primary and a secondary source. The obtained results from hypothesis testing reveals that type of school is not influence student performance and parents' occupation plays a major role in predicting grades. This work will help the educational institutions to identify the students who are at risk and to and provide better additional training for the weak students.}
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}
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@inproceedings{reekTRYSystemHow1989,
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title = {The {{TRY}} System -or- How to Avoid Testing Student Programs},
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booktitle = {Proceedings of the Twentieth {{SIGCSE}} Technical Symposium on {{Computer}} Science Education},
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author = {Reek, Kenneth A.},
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year = {1989},
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month = feb,
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series = {{{SIGCSE}} '89},
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pages = {112--116},
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publisher = {{Association for Computing Machinery}},
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address = {{New York, NY, USA}},
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doi = {10.1145/65293.71198},
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url = {https://dl.acm.org/doi/10.1145/65293.71198},
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urldate = {2024-02-07},
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abstract = {This paper discusses TRY, a software package for the UNIX1 operating system that tests student programs. The motivation for developing the system is established by describing problems associated with traditional grading methods and electronic program submission. The design and use of the TRY system is discussed, along with the advantages it provides to both the student and the instructor.},
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isbn = {978-0-89791-298-3},
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file = {/home/charlotte/sync/Zotero/storage/U3PGR5DM/Reek - 1989 - The TRY system -or- how to avoid testing student p.pdf;/home/charlotte/sync/Zotero/storage/UU7NTE7B/reek1989.pdf.pdf}
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}
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@inproceedings{renzellaEnrichingProgrammingStudent2020,
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title = {Enriching Programming Student Feedback with Audio Comments},
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booktitle = {Proceedings of the {{ACM}}/{{IEEE}} 42nd {{International Conference}} on {{Software Engineering}}: {{Software Engineering Education}} and {{Training}}},
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@ -3471,6 +3556,21 @@
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file = {/home/charlotte/sync/Zotero/storage/KM7R4LCV/5387105.html}
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}
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@techreport{streibelCriticalAnalysisComputerBased1985,
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title = {A {{Critical Analysis}} of {{Computer-Based Approaches}} to {{Education}}: {{Drill-and-Practice}}, {{Tutorials}}, and {{Programming}}/{{Simulations}}},
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shorttitle = {A {{Critical Analysis}} of {{Computer-Based Approaches}} to {{Education}}},
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author = {Streibel, Michael J.},
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year = {1985},
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month = apr,
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url = {https://eric.ed.gov/?id=ED263881},
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urldate = {2024-02-07},
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abstract = {Three major approaches to the use of computers in education are examined, serious limitations of each are presented, and questions are raised as to the efficacy of technologolizing education. The drill and practice approach is shown to embody a deterministic, behavioral technology that turns learning into a systematically-designed and quality-controlled form of work. Computerized tutorial programs are shown to extend the behavioral and technological approach to learning even further by shaping interactions via an external agent's intentions in order to maximize the learner's performance gains. Most seriously, computerized tutorial interactions pre-empt the personal intellectual agency and ultimately inner-directed learning. Finally, the use of computers is shown to limit the learner's mental landscape to objective, quantitative, and procedural tools. A list of references completes the document. (JB)},
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langid = {english},
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keywords = {Computer Assisted Instruction,Computer Simulation,Computer Software,Drills (Practice),Futures (of Society),Man Machine Systems,Mastery Learning,Problem Solving,Programed Tutoring,Programing,Teaching Methods},
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annotation = {ERIC Number: ED263881},
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file = {/home/charlotte/sync/Zotero/storage/XIYNVFIA/Streibel - 1985 - A Critical Analysis of Computer-Based Approaches t.pdf}
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}
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@inproceedings{strijbolBlinkEducationalSoftware2023,
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title = {Blink: {{An Educational Software Debugger}} for {{Scratch}}},
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shorttitle = {Blink},
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@ -4282,7 +4382,7 @@
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@article{zhidkikhReproducingPredictiveLearning2024,
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title = {Reproducing {{Predictive Learning Analytics}} in {{CS1}}: {{Toward Generalizable}} and {{Explainable Models}} for {{Enhancing Student Retention}}},
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shorttitle = {Reproducing {{Predictive Learning Analytics}} in {{CS1}}},
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author = {Zhidkikh, Denis and Heilala, Ville and Petegem, Charlotte Van and Dawyndt, Peter and J{\"a}rvinen, Miitta and Viitanen, Sami and Wever, Bram De and Mesuere, Bart and Lappalainen, Vesa and Kettunen, Lauri and H{\"a}m{\"a}l{\"a}inen, Raija},
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author = {Zhidkikh, Denis and Heilala, Ville and Van Petegem, Charlotte and Dawyndt, Peter and J{\"a}rvinen, Miitta and Viitanen, Sami and De Wever, Bram and Mesuere, Bart and Lappalainen, Vesa and Kettunen, Lauri and H{\"a}m{\"a}l{\"a}inen, Raija},
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year = {2024},
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month = jan,
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journal = {Journal of Learning Analytics},
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